Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Author index

Page Path
HOME > Browse > Author index
Search
Sang-Man Jin  (Jin SM) 24 Articles
Complications
Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes Metab J. 2024;48(2):290-301.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0299
  • 792 View
  • 116 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We aimed to identify the risk of incident depression according to cumulative exposure to a low-household income status in individuals with type 2 diabetes mellitus (T2DM).
Methods
For this retrospective longitudinal population-based cohort study, we used Korean National Health Insurance Service data from 2002 to 2018. Risk of depression was assessed according to cumulative exposure to low-household income status (defined as Medical Aid registration) during the previous 5 years among adults (aged ≥20 years) with T2DM and without baseline depression who underwent health examinations from 2009 to 2012 (n=2,027,317).
Results
During an average 6.23 years of follow-up, 401,175 incident depression cases occurred. Advance in cumulative number of years registered for medical aid during the previous 5 years from baseline was associated with an increased risk of depression in a dose-dependent manner (hazard ratio [HR], 1.44 [95% confidence interval (CI), 1.38 to 1.50]; HR, 1.40 [95% CI, 1.35 to 1.46]; HR, 1.42, [95% CI, 1.37 to 1.48]; HR, 1.46, [95% CI, 1.40 to 1.53]; HR, 1.69, [95% CI, 1.63 to 1.74] in groups with 1 to 5 exposed years, respectively). Insulin users exposed for 5 years to a low-household income state had the highest risk of depression among groups categorized by insulin use and duration of low-household income status.
Conclusion
Cumulative duration of low-household income status, defined as medical aid registration, was associated with an increased risk of depression in a dose-response manner in individuals with T2DM.
Cardiovascular Risk/Epidemiology
Psychotic Disorders and the Risk of Type 2 Diabetes Mellitus, Atherosclerotic Cardiovascular Diseases, and All-Cause Mortality: A Population-Based Matched Cohort Study
You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur
Diabetes Metab J. 2024;48(1):122-133.   Published online January 3, 2024
DOI: https://doi.org/10.4093/dmj.2022.0431
  • 1,027 View
  • 142 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
The effects of psychotic disorders on cardiometabolic diseases and premature death need to be determined in Asian populations.
Methods
In this population-based matched cohort study, the Korean National Health Insurance Service database (2002 to 2018) was used. The risk of type 2 diabetes mellitus (T2DM), acute myocardial infarction (AMI), ischemic stroke, composite of all cardiometabolic diseases, and all-cause death during follow-up was compared between individuals with psychotic disorders treated with antipsychotics (n=48,162) and 1:1 matched controls without psychiatric disorders among adults without cardiometabolic diseases before or within 3 months after baseline.
Results
In this cohort, 53,683 composite cases of all cardiometabolic diseases (during median 7.38 years), 899 AMI, and 1,216 ischemic stroke cases (during median 14.14 years), 7,686 T2DM cases (during median 13.26 years), and 7,092 deaths (during median 14.23 years) occurred. The risk of all outcomes was higher in subjects with psychotic disorders than matched controls (adjusted hazard ratios [95% confidence intervals]: 1.522 [1.446 to 1.602] for T2DM; 1.455 [1.251 to 1.693] for AMI; 1.568 [1.373 to 1.790] for ischemic stroke; 1.595 [1.565 to 1.626] for composite of all cardiometabolic diseases; and 2.747 [2.599 to 2.904] for all-cause mortality) during follow-up. Similar patterns of associations were maintained in subgroup analyses but more prominent in younger individuals (P for interaction <0.0001) when categorized as those aged 18–39, 40–64, or ≥65 years.
Conclusion
Patients with psychotic disorders treated with antipsychotics were associated with increased risk of premature allcause mortality and cardiometabolic outcomes in an Asian population. This relationship was more pronounced in younger individuals, especially aged 18 to 39 years.
Metabolic Risk/Epidemiology
Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
Diabetes Metab J. 2023;47(5):682-692.   Published online June 22, 2023
DOI: https://doi.org/10.4093/dmj.2022.0184
  • 1,555 View
  • 121 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We explored the risk of death from pneumonia according to cumulative duration in low household income state (LHIS) among adults with type 2 diabetes mellitus (T2DM).
Methods
Using Korean National Health Insurance Service data (2002 to 2018), the hazards of mortality from pneumonia were analyzed according to duration in LHIS (being registered to Medical Aid) during the 5 years before baseline (0, 1–4, and 5 years) among adults with T2DM who underwent health examinations between 2009 and 2012 (n=2,503,581). Hazards of outcomes were also compared in six groups categorized by insulin use and duration in LHIS.
Results
During a median 7.18 years, 12,245 deaths from pneumonia occurred. Individuals who had been exposed to LHIS had higher hazards of death from pneumonia in a dose-response manner (hazard ratio [HR], 1.726; 95% confidence interval [CI], 1.568 to 1.899 and HR, 4.686; 95% CI, 3.948 to 5.562 in those exposed for 1–4 and 5 years, respectively) compared to the non-exposed reference. Insulin users exposed for 5 years to LHIS exhibited the highest outcome hazard among six groups categorized by insulin use and duration in LHIS.
Conclusion
Among adults with T2DM, cumulative duration in LHIS may predict increased risks of mortality from pneumonia in a graded dose-response manner. Insulin users with the longest duration in LHIS might be the group most vulnerable to death from pneumonia among adults with T2DM.
Guideline/Fact Sheet
2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae Jin Kim, Hyun Min Kim, Jung Hae Ko, Nam Hoon Kim, Chong Hwa Kim, Jeeyun Ahn, Tae Jung Oh, Soo-Kyung Kim, Jaehyun Kim, Eugene Han, Sang-Man Jin, Won Suk Choi, Min Kyong Moon, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2023;47(5):575-594.   Published online September 26, 2023
DOI: https://doi.org/10.4093/dmj.2023.0282
  • 4,850 View
  • 612 Download
  • 6 Web of Science
  • 13 Crossref
AbstractAbstract PDFPubReader   ePub   
In May 2023, the Committee of Clinical Practice Guidelines of the Korean Diabetes Association published the revised clinical practice guidelines for Korean adults with diabetes and prediabetes. We incorporated the latest clinical research findings through a comprehensive systematic literature review and applied them in a manner suitable for the Korean population. These guidelines are designed for all healthcare providers nationwide, including physicians, diabetes experts, and certified diabetes educators who manage patients with diabetes or individuals at risk of developing diabetes. Based on recent changes in international guidelines and the results of a Korean epidemiological study, the recommended age for diabetes screening has been lowered. In collaboration with the relevant Korean medical societies, recently revised guidelines for managing hypertension and dyslipidemia in patients with diabetes have been incorporated into this guideline. An abridgment containing practical information on patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Mortality in metabolic dysfunction-associated steatotic liver disease: A nationwide population-based cohort study
    Eugene Han, Byung-Wan Lee, Eun Seok Kang, Bong-Soo Cha, Sang Hoon Ahn, Yong-ho Lee, Seung Up Kim
    Metabolism.2024; 152: 155789.     CrossRef
  • Letter by In-Kyung Jeong Regarding Article, Trends in Prevalence of Hypertriglyceridemia and Related Factors in Korean Adults: A Serial Cross-Sectional Study
    In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2024; 13(1): 80.     CrossRef
  • Association between cardiovascular disease risk and incident type 2 diabetes mellitus in individuals with prediabetes: A retrospective cohort study
    Myung Jin Kim, Yun Kyung Cho, Chang Hee Jung, Woo Je Lee
    Diabetes Research and Clinical Practice.2024; 208: 111125.     CrossRef
  • Korea Hypertension Fact Sheet 2023: analysis of nationwide population-based data with a particular focus on hypertension in special populations
    Hyeon Chang Kim, Hokyou Lee, Hyeok-Hee Lee, Dasom Son, Minsung Cho, Sojung Shin, Yeeun Seo, Eun-Jin kim, Song Vogue Ahn, Sun Ha Jee, Sungha Park, Hae-Young Lee, Min Ho Shin, Sang-Hyun Ihm, Seung Won Lee, Jong Ku Park, Il Suh, Tae-Yong Lee
    Clinical Hypertension.2024;[Epub]     CrossRef
  • Diabetes Duration, Cholesterol Levels, and Risk of Cardiovascular Diseases in Individuals With Type 2 Diabetes
    Mee Kyoung Kim, Kyu Na Lee, Kyungdo Han, Seung-Hwan Lee
    The Journal of Clinical Endocrinology & Metabolism.2024;[Epub]     CrossRef
  • Effect of Adding Apolipoprotein B Testing on the Prevalence of Dyslipidemia and Risk of Cardiovascular Disease in the Korean Adult Population
    Rihwa Choi, Sang Gon Lee, Eun Hee Lee
    Metabolites.2024; 14(3): 169.     CrossRef
  • A Self-powered and Supercapacitive Microneedle Continuous Glucose Monitoring System with a Wide Range of Glucose Detection Capabilities
    Hye-Jun Kil, Jang Hyeon Kim, Kanghae Lee, Tae-Uk Kang, Ju-Hyun Yoo, Yong-ho Lee, Jin-Woo Park
    Biosensors and Bioelectronics.2024; : 116297.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Recommendations for Pharmacological Treatment of Type 2 Diabetes
    Junghyun Noh
    The Journal of Korean Diabetes.2023; 24(3): 127.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • A 33-Year-Old Man Presented with Abdominal Pain and Vomiting Starting a Day Ago
    Jong Han Choi
    The Korean Journal of Medicine.2023; 98(6): 289.     CrossRef
  • Comorbidity Patterns and Management in Inpatients with Endocrine Diseases by Age Groups in South Korea: Nationwide Data
    Sung-Soo Kim, Hun-Sung Kim
    Journal of Personalized Medicine.2023; 14(1): 42.     CrossRef
Guideline/Fact Sheet
Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2023;47(2):211-219.   Published online February 7, 2023
DOI: https://doi.org/10.4093/dmj.2022.0346
  • 3,489 View
  • 258 Download
  • 1 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the trends of insulin use among Korean patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM). Changes in prescription of antidiabetic medications in T2DM patients taking insulin therapy were evaluated.
Methods
We analyzed data from the National Health Insurance Service database in Korea to evaluate the prevalence of insulin users and trends of insulin use in T1DM and T2DM patients from January 2002 to December 2019. We also investigated numbers and types of antidiabetic medications in insulin users with T2DM.
Results
The overall total number of insulin users increased from 2002 to 2019, reaching 348,254 for T2DM and 20,287 for T1DM in 2019 compared with 109,974 for T2DM and 34,972 for T1DM in 2002. The proportion of patients using basal analogs and short acting analogs have increased and those using human insulin, premixed insulin, or biphasic human insulin have decreased (rapid acting analogs: 71.85% and 24.12% in T1DM and T2DM, respectively, in 2019; basal analogs: 76.75% and 75.09% in T1DM and T2DM, respectively, in 2019). The use of other antidiabetic medication in addition to insulin increased for T2DM, especially in dual therapy, reaching up to 52.35% in 2019 compared with 16.72% in 2002.
Conclusion
The proportion of the patients using basal or rapid acting analogs increased among all insulin users in both T1DM and T2DM patients. Among patients with T2DM, the proportion of patients using antidiabetic medications in addition to insulin was significantly increased compared to those who used insulin alone.

Citations

Citations to this article as recorded by  
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Evaluation of pharmacokinetic interactions between lobeglitazone, empagliflozin, and metformin in healthy subjects
    Heeyoung Kim, Choon Ok Kim, Hyeonsoo Park, Min Soo Park, Dasohm Kim, Taegon Hong, Yesong Shin, Byung Hak Jin
    Translational and Clinical Pharmacology.2023; 31(1): 59.     CrossRef
  • Smart Insulin Pen: Managing Insulin Therapy for People with Diabetes in the Digital Era
    Jee Hee Yoo, Jae Hyeon Kim
    The Journal of Korean Diabetes.2023; 24(4): 190.     CrossRef
Technology/Device
A 4-Week, Two-Center, Open-Label, Single-Arm Study to Evaluate the Safety and Efficacy of EOPatch in Well-Controlled Type 1 Diabetes Mellitus
Jiyun Park, Nammi Park, Sangjin Han, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Woo Je Lee, Jae Hyeon Kim
Diabetes Metab J. 2022;46(6):941-947.   Published online March 8, 2022
DOI: https://doi.org/10.4093/dmj.2021.0299
  • 5,121 View
  • 269 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
This study evaluated the safety and efficacy of tubeless patch pump called EOPatch in patients with well-controlled type 1 diabetes mellitus (T1DM). This 4-week, two-center, open-label, single-arm study enrolled 10 adult patients diagnosed with T1DM with glycosylated hemoglobin less than 7.5%. The co-primary end points were patch pump usage time for one attachment and number of serious adverse events related to the patch pump. The secondary end points were total amount of insulin injected per patch and changes in glycemic parameters including continuous glucose monitoring data compared to those at study entry. The median usage time per patch was 84.00 hours (interquartile range, 64.50 to 92.50). Serious adverse events did not occur during the trial. Four weeks later, time in range 70 to 180 mg/dL was significantly improved (70.71%±17.14 % vs. 82.96%±9.14%, P=0.01). The times spent below range (<54 mg/dL) and above range (>180 mg/dL) also improved (All P<0.05). Four-week treatment with a tubeless patch pump was safe and led to clinical improvement in glycemic control.

Citations

Citations to this article as recorded by  
  • Multilayer track‐etched membrane‐based electroosmotic pump for drug delivery
    Qian Yang, Zebo Zhang, Junshu Lin, Boyu Zhu, Rongying Yu, Xinru Li, Bin Su, Bo Zhao
    ELECTROPHORESIS.2024; 45(5-6): 433.     CrossRef
  • A true continuous healthcare system for type 1 diabetes
    Jiyong Kim, Salman Khan, Eun Kyu Kim, Hye-Jun Kil, Bo Min Kang, Hyo Geon Lee, Jin-Woo Park, Jun Young Yoon, Woochul Kim
    Nano Energy.2023; 113: 108553.     CrossRef
Asymptomatic Hypoglycemia after Metabolic Surgery: New Insights from Perioperative Continuous Glucose Monitoring
Sang-Man Jin
Diabetes Metab J. 2022;46(5):675-676.   Published online September 19, 2022
DOI: https://doi.org/10.4093/dmj.2022.0307
  • 2,000 View
  • 173 Download
PDFPubReader   ePub   
Cardiovascular Risk/Epidemiology
Mean and Variability of Lipid Measurements and Risk for Development of Subclinical Left Ventricular Diastolic Dysfunction
Jiyun Park, Mira Kang, Jiyeon Ahn, Min Young Kim, Min Sun Choi, You-Bin Lee, Gyuri Kim, Kyu Yeon Hur, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
Diabetes Metab J. 2022;46(2):286-296.   Published online November 22, 2021
DOI: https://doi.org/10.4093/dmj.2021.0080
  • 5,620 View
  • 196 Download
  • 1 Web of Science
  • 2 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Subclinical left ventricular diastolic dysfunction (LVDD) is an emerging consequence of increased insulin resistance, and dyslipidemia is one of the few correctable risk factors of LVDD. This study evaluated the role of mean and visit-to-visit variability of lipid measurements in risk of LVDD in a healthy population.
Methods
This was a 3.7-year (interquartile range, 2.1 to 4.9) longitudinal cohort study including 2,817 adults (median age 55 years) with left ventricular ejection fraction >50% who underwent an annual or biannual health screening between January 2008 and July 2016. The mean, standard deviation (SD), coefficient of variation (CV), variability independent of the mean (VIM), and average real variability of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), apolipoprotein B (apoB), non-HDL-C, and triglycerides were obtained from three to six measurements during the 5 years preceding the first echocardiogram.
Results
Among the 2,817 patients, 560 (19.9%) developed LVDD. The mean of no component of lipid measurements was associated with risk of LVDD. CV (hazard ratio [HR], 1.35; 95% confidence interval [CI], 1.10 to 1.67), SD (HR, 1.27; 95% CI, 1.03 to 1.57), and VIM (HR, 1.26; 95% CI, 1.03 to 1.55) of LDL-C and all the variability parameters of apoB were significantly associated with development of LVDD. The association between CV-LDL and risk of LVDD did not have significant interaction with sex, increasing/decreasing trend at baseline, or use of stain and/or lipid-modifying agents.
Conclusion
The variability of LDL-C and apoB, rather than their mean, was associated with risk for LVDD.

Citations

Citations to this article as recorded by  
  • Separate and Joint Associations of Remnant Cholesterol Accumulation and Variability With Carotid Atherosclerosis: A Prospective Cohort Study
    Jinqi Wang, Rui Jin, Xiaohan Jin, Zhiyuan Wu, Haiping Zhang, Ze Han, Zongkai Xu, Yueruijing Liu, Xiaoyu Zhao, Xiuhua Guo, Lixin Tao
    Journal of the American Heart Association.2023;[Epub]     CrossRef
  • Variability of Metabolic Risk Factors: Causative Factor or Epiphenomenon?
    Hye Jin Yoo
    Diabetes & Metabolism Journal.2022; 46(2): 257.     CrossRef
Guideline/Fact Sheet
2021 Clinical Practice Guidelines for Diabetes Mellitus in Korea
Kyu Yeon Hur, Min Kyong Moon, Jong Suk Park, Soo-Kyung Kim, Seung-Hwan Lee, Jae-Seung Yun, Jong Ha Baek, Junghyun Noh, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Ye Seul Yang, Jang Won Son, Jong Han Choi, Kee Ho Song, Nam Hoon Kim, Sang Yong Kim, Jin Wha Kim, Sang Youl Rhee, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim, Chong Hwa Kim, Dae Jung Kim, SungWan Chun, Eun-Jung Rhee, Hyun Min Kim, Hyun Jung Kim, Donghyun Jee, Jae Hyun Kim, Won Seok Choi, Eun-Young Lee, Kun-Ho Yoon, Seung-Hyun Ko, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2021;45(4):461-481.   Published online July 30, 2021
DOI: https://doi.org/10.4093/dmj.2021.0156
  • 23,832 View
  • 1,621 Download
  • 120 Web of Science
  • 139 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
The Committee of Clinical Practice Guidelines of the Korean Diabetes Association (KDA) updated the previous clinical practice guidelines for Korean adults with diabetes and prediabetes and published the seventh edition in May 2021. We performed a comprehensive systematic review of recent clinical trials and evidence that could be applicable in real-world practice and suitable for the Korean population. The guideline is provided for all healthcare providers including physicians, diabetes experts, and certified diabetes educators across the country who manage patients with diabetes or the individuals at the risk of developing diabetes mellitus. The recommendations for screening diabetes and glucose-lowering agents have been revised and updated. New sections for continuous glucose monitoring, insulin pump use, and non-alcoholic fatty liver disease in patients with diabetes mellitus have been added. The KDA recommends active vaccination for coronavirus disease 2019 in patients with diabetes during the pandemic. An abridgement that contains practical information for patient education and systematic management in the clinic was published separately.

Citations

Citations to this article as recorded by  
  • Impact of Subclinical Atrial Function on the Prognosis of Patients With Atrial Fibrillation and Metabolic Syndrome
    Hyun-Jin Kim
    CardioMetabolic Syndrome Journal.2024; 4(1): 36.     CrossRef
  • Associations of omega-3 fatty acids vs. fenofibrate with adverse cardiovascular outcomes in people with metabolic syndrome: propensity matched cohort study
    Nam Hoon Kim, Ji Yoon Kim, Jimi Choi, Sin Gon Kim
    European Heart Journal - Cardiovascular Pharmacotherapy.2024; 10(2): 118.     CrossRef
  • A Multicenter, Randomized, Open-Label Study to Compare the Effects of Gemigliptin Add-on or Escalation of Metformin Dose on Glycemic Control and Safety in Patients with Inadequately Controlled Type 2 Diabetes Mellitus Treated with Metformin and SGLT-2 Inh
    Hae Jin Kim, Jung Hyun Noh, Min Kyong Moon, Sung Hee Choi, Seung-Hyun Ko, Eun-Jung Rhee, Kyu Yeon Hur, In-Kyung Jeong, Mark Yorek
    Journal of Diabetes Research.2024; 2024: 1.     CrossRef
  • Efficacy and Safety of Once-Weekly Semaglutide Versus Once-Daily Sitagliptin as Metformin Add-on in a Korean Population with Type 2 Diabetes
    Byung-Wan Lee, Young Min Cho, Sin Gon Kim, Seung-Hyun Ko, Soo Lim, Amine Dahaoui, Jin Sook Jeong, Hyo Jin Lim, Jae Myung Yu
    Diabetes Therapy.2024; 15(2): 547.     CrossRef
  • Real-World Continuous Glucose Monitoring Data from a Population with Type 1 Diabetes in South Korea: Nationwide Single-System Analysis
    Ji Yoon Kim, Sang-Man Jin, Sarah Andrade, Boyang Chen, Jae Hyeon Kim
    Diabetes Technology & Therapeutics.2024;[Epub]     CrossRef
  • Association between Dyslipidemia and Glycated Hemoglobin in a Population-Based Study
    Purum Kang, Ka Young Kim, Hye Young Shin
    Metabolites.2024; 14(2): 92.     CrossRef
  • Outcomes of Various Classes of Oral Antidiabetic Drugs on Nonalcoholic Fatty Liver Disease
    Heejoon Jang, Yeonjin Kim, Dong Hyeon Lee, Sae Kyung Joo, Bo Kyung Koo, Soo Lim, Woojoo Lee, Won Kim
    JAMA Internal Medicine.2024; 184(4): 375.     CrossRef
  • View on Metformin: Antidiabetic and Pleiotropic Effects, Pharmacokinetics, Side Effects, and Sex-Related Differences
    Guglielmina Froldi
    Pharmaceuticals.2024; 17(4): 478.     CrossRef
  • Efficacy of intermittent short‐term use of a real‐time continuous glucose monitoring system in non‐insulin–treated patients with type 2 diabetes: A randomized controlled trial
    Sun Joon Moon, Kyung‐Soo Kim, Woo Je Lee, Mi Yeon Lee, Robert Vigersky, Cheol‐Young Park
    Diabetes, Obesity and Metabolism.2023; 25(1): 110.     CrossRef
  • Therapeutic Effects of Switching to Anagliptin from Other DPP-4 Inhibitors in T2DM Patients with Inadequate Glycemic Control: A Non-interventional, Single-Arm, Open-Label, Multicenter Observational Study
    Sang-Yong Kim, Sungrae Kim
    Diabetes Therapy.2023; 14(1): 109.     CrossRef
  • Low Skeletal Muscle Mass Accompanied by Abdominal Obesity Additively Increases the Risk of Incident Type 2 Diabetes
    Ji Eun Jun, Seung-Eun Lee, You-Bin Lee, Gyuri Kim, Sang-Man Jin, Jae Hwan Jee, Jae Hyeon Kim
    The Journal of Clinical Endocrinology & Metabolism.2023; 108(5): 1173.     CrossRef
  • Diabetes screening in South Korea: a new estimate of the number needed to screen to detect diabetes
    Kyoung Hwa Ha, Kyung Ae Lee, Kyung-Do Han, Min Kyong Moon, Dae Jung Kim
    The Korean Journal of Internal Medicine.2023; 38(1): 93.     CrossRef
  • Justicia carnea extracts ameliorated hepatocellular damage in streptozotocin-induced type 1 diabetic male rats via decrease in oxidative stress, inflammation and increasing other risk markers
    John Adeolu Falode, Oluwaseun Igbekele Ajayi, Tolulope Victoria Isinkaye, Akinwunmi Oluwaseun Adeoye, Basiru Olaitan Ajiboye, Bartholomew I. C. Brai
    Biomarkers.2023; 28(2): 177.     CrossRef
  • Sex differences in the impact of diabetes mellitus on tuberculosis recurrence: a retrospective national cohort study
    Dararat Eksombatchai, Dawoon Jeong, Jeongha Mok, Doosoo Jeon, Hee-Yeon Kang, Hee Jin Kim, Hee-Sun Kim, Hongjo Choi, Young Ae Kang
    International Journal of Infectious Diseases.2023; 127: 1.     CrossRef
  • The Predictive Ability of C-Peptide in Distinguishing Type 1 Diabetes From Type 2 Diabetes: A Systematic Review and Meta-Analysis
    Sajid Iqbal, Abdulrahim Abu Jayyab, Ayah Mohammad Alrashdi, Silvia Reverté-Villarroya
    Endocrine Practice.2023; 29(5): 379.     CrossRef
  • Anagliptin twice‐daily regimen improves glycaemic variability in subjects with type 2 diabetes: A double‐blind, randomized controlled trial
    Yong‐ho Lee, Doo‐Man Kim, Jae Myung Yu, Kyung Mook Choi, Sin Gon Kim, Kang Seo Park, Hyun‐Shik Son, Choon Hee Chung, Kyu Jeung Ahn, Soon Hee Lee, Ki‐Ho Song, Su Kyoung Kwon, Hyeong Kyu Park, Kyu Chang Won, Hak Chul Jang
    Diabetes, Obesity and Metabolism.2023; 25(5): 1174.     CrossRef
  • Implementation of five machine learning methods to predict the 52-week blood glucose level in patients with type 2 diabetes
    Xiaomin Fu, Yuhan Wang, Ryan S. Cates, Nan Li, Jing Liu, Dianshan Ke, Jinghua Liu, Hongzhou Liu, Shuangtong Yan
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Lipid Management in Korean People With Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Journal of Lipid and Atherosclerosis.2023; 12(1): 12.     CrossRef
  • The Efficacy of Treatment Intensification by Quadruple Oral Therapy Compared to GLP-1RA Therapy in Poorly Controlled Type 2 Diabetes Mellitus Patients: A Real-world Data Study
    Minyoung Kim, Hosu Kim, Kyong Young Kim, Soo Kyoung Kim, Junghwa Jung, Jong Ryeal Hahm, Jaehoon Jung, Jong Ha Baek
    Diabetes & Metabolism Journal.2023; 47(1): 135.     CrossRef
  • Safety and Effectiveness of Empagliflozin in Korean Patients with Type 2 Diabetes Mellitus: Results from a Nationwide Post-Marketing Surveillance
    Jun Sung Moon, Nam Hoon Kim, Jin Oh Na, Jae Hyoung Cho, In-Kyung Jeong, Soon Hee Lee, Ji-Oh Mok, Nan Hee Kim, Dong Jin Chung, Jinhong Cho, Dong Woo Lee, Sun Woo Lee, Kyu Chang Won
    Diabetes & Metabolism Journal.2023; 47(1): 82.     CrossRef
  • Evaluation and Management of Patients With Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    International Journal of Heart Failure.2023; 5(1): 1.     CrossRef
  • Influenza vaccination trend and related factors among patients with diabetes in Korea: Analysis using a nationwide database
    Dong-Hwa Lee, Bumhee Yang, Seonhye Gu, Eung-Gook Kim, Youlim Kim, Hyung Koo Kang, Yeong Hun Choe, Hyun Jeong Jeon, Seungyong Park, Hyun Lee
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Optimal Low-Density Lipoprotein Cholesterol Level for Primary Prevention in Koreans with Type 2 Diabetes Mellitus
    Ji Yoon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(1): 42.     CrossRef
  • Evaluation and Management of Patients with Diabetes and Heart Failure: A Korean Diabetes Association and Korean Society of Heart Failure Consensus Statement
    Kyu-Sun Lee, Junghyun Noh, Seong-Mi Park, Kyung Mook Choi, Seok-Min Kang, Kyu-Chang Won, Hyun-Jai Cho, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 10.     CrossRef
  • Lipid Management in Korean People with Type 2 Diabetes Mellitus: Korean Diabetes Association and Korean Society of Lipid and Atherosclerosis Consensus Statement
    Ye Seul Yang, Hack-Lyoung Kim, Sang-Hyun Kim, Min Kyong Moon
    Diabetes & Metabolism Journal.2023; 47(1): 1.     CrossRef
  • Association between Low-Density Lipoprotein Cholesterol Level and Cardiovascular Outcomes in Korean Adults: A Nationwide Cohort Study
    Junghyun Noh, Min Kyong Moon, Eun-Jung Rhee, Sang Hyun Park, Hyeon Chang Kim, Byung Jin Kim, Hae Jin Kim, Seonghoon Choi, Jin Oh Na, Young Youl Hyun, Bum Joon Kim, Kyung-Do Han, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(1): 59.     CrossRef
  • Analysis of the Incidence of Type 2 Diabetes, Requirement of Insulin Treatment, and Diabetes-Related Complications among Patients with Cancer
    Su Jung Lee, Chulho Kim, Hyunjae Yu, Dong-Kyu Kim
    Cancers.2023; 15(4): 1094.     CrossRef
  • The 2022 focused update of the 2018 Korean Hypertension Society Guidelines for the management of hypertension
    Hack-Lyoung Kim, Eun Mi Lee, Shin Young Ahn, Kwang-il Kim, Hyeon Chang Kim, Ju Han Kim, Hae-Young Lee, Jang Hoon Lee, Jong-Moo Park, Eun Joo Cho, Sungha Park, Jinho Shin, Young-Kwon Kim
    Clinical Hypertension.2023;[Epub]     CrossRef
  • Consistency of 1-day and 3-day average dietary intake and the relationship of dietary intake with blood glucose, hbA1c, BMI, and lipids in patients with type 2 diabetes
    DaeEun Lee, Haejung Lee, Sangeun Lee, MinJin Lee, Ah Reum Khang
    Journal of Korean Biological Nursing Science.2023; 25(1): 20.     CrossRef
  • Efficacy and safety of enavogliflozin versus dapagliflozin added to metformin plus gemigliptin treatment in patients with type 2 diabetes: A double-blind, randomized, comparator-active study: ENHANCE-D study
    Kyung-Soo Kim, Kyung Ah Han, Tae Nyun Kim, Cheol-Young Park, Jung Hwan Park, Sang Yong Kim, Yong Hyun Kim, Kee Ho Song, Eun Seok Kang, Chul Sik Kim, Gwanpyo Koh, Jun Goo Kang, Mi Kyung Kim, Ji Min Han, Nan Hee Kim, Ji Oh Mok, Jae Hyuk Lee, Soo Lim, Sang S
    Diabetes & Metabolism.2023; 49(4): 101440.     CrossRef
  • Effect of olmesartan and amlodipine on serum angiotensin-(1–7) levels and kidney and vascular function in patients with type 2 diabetes and hypertension
    Kyuho Kim, Ji Hye Moon, Chang Ho Ahn, Soo Lim
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Menopausal hormone therapy and the risk of type 2 diabetes mellitus: Health Insurance Database in South Korea–based retrospective cohort study
    Jin-Sung Yuk, Jung Min Kim
    Menopause.2023; 30(5): 497.     CrossRef
  • Intensified Multifactorial Intervention in Patients with Type 2 Diabetes Mellitus
    Takayoshi Sasako, Toshimasa Yamauchi, Kohjiro Ueki
    Diabetes & Metabolism Journal.2023; 47(2): 185.     CrossRef
  • Association between antidiabetic drugs and the incidence of atrial fibrillation in patients with type 2 diabetes: A nationwide cohort study in South Korea
    Sunyoung Kim, So Young Park, Bongseong Kim, Chanyang Min, Wonyoung Cho, Dong Keon Yon, Joo Young Kim, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee, Sang Youl Rhee
    Diabetes Research and Clinical Practice.2023; 198: 110626.     CrossRef
  • Totally robotic Roux-en-Y gastric bypass in a morbidly obese patient in Korea: a case report
    Ji Won Seo, Kyong-Hwa Jun
    Journal of Minimally Invasive Surgery.2023; 26(1): 40.     CrossRef
  • Effect of diabetes-specific oral nutritional supplements with allulose on weight and glycemic profiles in overweight or obese type 2 diabetic patients
    Jihye Tak, Minkyung Bok, Hyunkyung Rho, Ju Hyun Park, Yunsook Lim, Suk Chon, Hyunjung Lim
    Nutrition Research and Practice.2023; 17(2): 241.     CrossRef
  • Associations Between Modifiable Risk Factors and Changes in Glycemic Status Among Individuals With Prediabetes
    Salma Nabila, Ji-Eun Kim, Jaesung Choi, JooYong Park, Aesun Shin, Sang-Ah Lee, Jong-koo Lee, Daehee Kang, Ji-Yeob Choi
    Diabetes Care.2023; 46(3): 535.     CrossRef
  • Efficacy and safety of enavogliflozin, a novel SGLT2 inhibitor, in Korean people with type 2 diabetes: A 24‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase III trial
    Soo Heon Kwak, Kyung Ah Han, Kyung‐Soo Kim, Jae Myung Yu, EunSook Kim, Jong Chul Won, Jun Goo Kang, Choon Hee Chung, Seungjoon Oh, Sung Hee Choi, Kyu Chang Won, Sin Gon Kim, Seung Ah Cho, Bo Young Cho, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(7): 1865.     CrossRef
  • Adjusting the Use of Glucose-Lowering Agents in the Real-World Clinical Management of People with Type 2 Diabetes: A Narrative Review
    Siew Pheng Chan, Lee-Ling Lim, Juliana C. N. Chan, David R. Matthews
    Diabetes Therapy.2023; 14(5): 823.     CrossRef
  • The association of perfluoroalkyl substances (PFAS) exposure and kidney function in Korean adolescents using data from Korean National Environmental Health Survey (KoNEHS) cycle 4 (2018–2020): a cross-sectional study
    Jisuk Yun, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Yong-Jin Lee
    Annals of Occupational and Environmental Medicine.2023;[Epub]     CrossRef
  • A Comparison of the Pharmacokinetics and Safety of Dapagliflozin Formate, an Ester Prodrug of Dapagliflozin, to Dapagliflozin Propanediol Monohydrate in Healthy Subjects
    Hyun Chul Kim, Sangmi Lee, Siyoung Sung, Eunjin Kim, In-Jin Jang, Jae-Yong Chung
    Drug Design, Development and Therapy.2023; Volume 17: 1203.     CrossRef
  • Efficacy and safety of monotherapy with enavogliflozin in Korean patients with type 2 diabetes mellitus: Results of a 12‐week, multicentre, randomized, double‐blind, placebo‐controlled, phase 2 trial
    Ye Seul Yang, Kyung Wan Min, Seok‐O Park, Kyung‐Soo Kim, Jae Myung Yu, Eun‐Gyoung Hong, Sung Rae Cho, Kyu Chang Won, Yong Hyun Kim, Seungjoon Oh, Sung Hee Choi, Gwanpyo Koh, Wan Huh, Su Young Kim, Kyong Soo Park
    Diabetes, Obesity and Metabolism.2023; 25(8): 2096.     CrossRef
  • An Integrated Digital Health Care Platform for Diabetes Management With AI-Based Dietary Management: 48-Week Results From a Randomized Controlled Trial
    You-Bin Lee, Gyuri Kim, Ji Eun Jun, Hyunjin Park, Woo Je Lee, You-Cheol Hwang, Jae Hyeon Kim
    Diabetes Care.2023; 46(5): 959.     CrossRef
  • Performance of Simple Fibrosis Score in Non-Alcoholic Fatty Liver Disease with and without Type 2 Diabetes
    Seung Min Chung, Min Kyu Kang, Jun Sung Moon, Jung Gil Park
    Endocrinology and Metabolism.2023; 38(2): 277.     CrossRef
  • Correlation analysis of cancer incidence after pravastatin treatment
    Jin Yu, Raeun Kim, Jiwon Shinn, Man Young Park, Hun-Sung Kim
    Cardiovascular Prevention and Pharmacotherapy.2023; 5(2): 61.     CrossRef
  • Comparison of the effects of gemigliptin versus glimepiride on cardiac function in patients with type 2 diabetes uncontrolled with metformin: The gemi‐heart study
    Seung Min Chung, Jun Sung Moon, Jun Hwa Hong, In‐Chang Hwang, Soo Lim
    Diabetes, Obesity and Metabolism.2023; 25(8): 2181.     CrossRef
  • The era of continuous glucose monitoring and its expanded role in type 2 diabetes
    Jin Yu, Jae‐Hyoung Cho, Seung‐Hwan Lee
    Journal of Diabetes Investigation.2023; 14(7): 841.     CrossRef
  • Impact of continuous glucose monitoring on glycemic control and its derived metrics in type 1 diabetes: a longitudinal study
    So Hyun Cho, Seohyun Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Impact of mental disorders on the risk of heart failure among Korean patients with diabetes: a cohort study
    Tae Kyung Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Diabetology.2023;[Epub]     CrossRef
  • Asia-Pacific consensus recommendations for application of continuous glucose monitoring in diabetes management
    Alice P.S. Kong, Soo Lim, Seung-Hyun Yoo, Linong Ji, Liming Chen, Yuqian Bao, Ester Yeoh, Siew-Pheng Chan, Chih-Yuan Wang, Viswanathan Mohan, Neale Cohen, Margaret J. McGill, Stephen M. Twigg
    Diabetes Research and Clinical Practice.2023; 201: 110718.     CrossRef
  • Chronic disease management program applied to type 2 diabetes patients and prevention of diabetic complications: a retrospective cohort study using nationwide data
    Min Kyung Hyun, Jang Won Lee, Seung-Hyun Ko
    BMC Public Health.2023;[Epub]     CrossRef
  • Fatty Liver & Diabetes Statistics in Korea: Nationwide Data 2009 to 2017
    Eugene Han, Kyung-Do Han, Yong-ho Lee, Kyung-Soo Kim, Sangmo Hong, Jung Hwan Park, Cheol-Young Park
    Diabetes & Metabolism Journal.2023; 47(3): 347.     CrossRef
  • Opening the Precision Diabetes Care through Digital Healthcare
    Joonyub Lee, Jin Yu, Kun-Ho Yoon
    Diabetes & Metabolism Journal.2023; 47(3): 307.     CrossRef
  • Glycemia according to the Use of Continuous Glucose Monitoring among Adults with Type 1 Diabetes Mellitus in Korea: A Real-World Study
    You-Bin Lee, Minjee Kim, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(3): 405.     CrossRef
  • Navigating the Seas of Glycemic Control: The Role of Continuous Glucose Monitoring in Type 1 Diabetes Mellitus
    Jun Sung Moon
    Diabetes & Metabolism Journal.2023; 47(3): 345.     CrossRef
  • Lost in translation: assessing the nomenclature change for diabetic kidney disease in Japan
    Tetsuya Babazono, Tatsumi Moriya
    Diabetology International.2023; 14(4): 319.     CrossRef
  • Effects of dapagliflozin compared with glimepiride on body composition in Asian patients with type 2 diabetes inadequately controlled with metformin: The BEYOND study
    Hyeong Kyu Park, Kyoung‐Ah Kim, Kyung‐Wan Min, Tae‐Seo Sohn, In Kyung Jeong, Chul Woo Ahn, Nan‐Hee Kim, Ie Byung Park, Ho Chan Cho, Choon Hee Chung, Sung Hee Choi, Kang Seo Park, Seoung‐Oh Yang, Kwan Woo Lee
    Diabetes, Obesity and Metabolism.2023; 25(9): 2743.     CrossRef
  • Topic Modeling Analysis of Diabetes-Related Health Information during the Coronavirus Disease Pandemic
    Soyoon Min, Jeongwon Han
    Healthcare.2023; 11(13): 1871.     CrossRef
  • Screening Test for Evaluation of Cardiovascular Disease in Patients with Diabetes
    Ji-Oh Mok, Chan-Hee Jung
    The Journal of Korean Diabetes.2023; 24(2): 76.     CrossRef
  • Paradigm Shift in Management of Hyperglycemia in Patients with Type 2 Diabetes: Glucocentric versus Organ Protection
    Jong Chul Won
    The Journal of Korean Diabetes.2023; 24(2): 59.     CrossRef
  • Association between type 2 diabetes mellitus and depression among Korean midlife women: a cross-sectional analysis study
    You Lee Yang, Eun-Ok Im, Yunmi Kim
    BMC Nursing.2023;[Epub]     CrossRef
  • Fibrotic Burden in the Liver Differs Across Metabolic Dysfunction-Associated Fatty Liver Disease Subtypes
    Tae Seop Lim, Ho Soo Chun, Soon Sun Kim, Ja Kyung Kim, Minjong Lee, Hyo Jung Cho, Seung Up Kim, Jae Youn Cheong
    Gut and Liver.2023; 17(4): 610.     CrossRef
  • Association between the number of pregnancies and cardiac target organ damages: a cross-sectional analysis of data from the Korean women’s chest pain registry (KoROSE)
    Hack-Lyoung Kim, Hyun-Jin Kim, Mina Kim, Sang Min Park, Hyun Ju Yoon, Young Sup Byun, Seong-Mi Park, Mi-Seung Shin, Kyung-Soon Hong, Myung-A Kim
    BMC Women's Health.2023;[Epub]     CrossRef
  • Exercise therapy for diabetes mellitus
    Chaiho Jeong, Tae-Seo Sohn
    Journal of the Korean Medical Association.2023; 66(7): 427.     CrossRef
  • Medical nutrition therapy for diabetes mellitus
    Suk Chon
    Journal of the Korean Medical Association.2023; 66(7): 421.     CrossRef
  • Identification of individuals at risk of hepatocellular carcinoma: screening for clinically significant liver fibrosis in patients with T2DM
    Tina Reinson, Ryan M Buchanan, Christopher D Byrne
    Expert Review of Endocrinology & Metabolism.2023; 18(5): 355.     CrossRef
  • Additive impact of diabetes and sarcopenia on all-cause and cardiovascular mortality: A longitudinal nationwide population-based study
    Eyun Song, Soon Young Hwang, Min Jeong Park, Ahreum Jang, Kyeong Jin Kim, Ji Hee Yu, Nam Hoon Kim, Hye Jin Yoo, Ji A. Seo, Sin Gon Kim, Nan Hee Kim, Sei Hyun Baik, Kyung Mook Choi
    Metabolism.2023; 148: 155678.     CrossRef
  • Exposure to perfluoroalkyl and polyfluoroalkyl substances and risk of stroke in adults: a meta-analysis
    Min Cheol Chang, Seung Min Chung, Sang Gyu Kwak
    Reviews on Environmental Health.2023;[Epub]     CrossRef
  • Risk of Pancreatic Cancer and Use of Dipeptidyl Peptidase 4 Inhibitors in Patients with Type 2 Diabetes: A Propensity Score-Matching Analysis
    Mee Kyoung Kim, Kyungdo Han, Hyuk-Sang Kwon, Soon Jib Yoo
    Endocrinology and Metabolism.2023; 38(4): 426.     CrossRef
  • Incident infection risks depending on oral antidiabetic exposure in insulin-treated type 2 diabetes patients
    Sanghwa Park, Jiseon Jeong, Yunna Woo, Yeo Jin Choi, Sooyoung Shin
    Scientific Reports.2023;[Epub]     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Journal of Lipid and Atherosclerosis.2023; 12(3): 237.     CrossRef
  • Diabetes Mellitus in the Elderly Adults in Korea: Based on Data from the Korea National Health and Nutrition Examination Survey 2019 to 2020
    Seung-Hyun Ko, Kyung Do Han, Yong-Moon Park, Jae-Seung Yun, Kyuho Kim, Jae-Hyun Bae, Hyuk-Sang Kwon, Nan-Hee Kim
    Diabetes & Metabolism Journal.2023; 47(5): 643.     CrossRef
  • Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD): A State-of-the-Art Review
    Wah-Kheong Chan, Kee-Huat Chuah, Ruveena Bhavani Rajaram, Lee-Ling Lim, Jeyakantha Ratnasingam, Shireene Ratna Vethakkan
    Journal of Obesity & Metabolic Syndrome.2023; 32(3): 197.     CrossRef
  • Management of Dyslipidemia in Patients with Diabetes Mellitus
    Kyung Ae Lee
    The Journal of Korean Diabetes.2023; 24(3): 111.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk Factors
    Ye Seul Yang
    The Journal of Korean Diabetes.2023; 24(3): 135.     CrossRef
  • Dyslipidemia Fact Sheet in South Korea, 2022
    Eun-Sun Jin, Jee-Seon Shim, Sung Eun Kim, Jae Hyun Bae, Shinae Kang, Jong Chul Won, Min-Jeong Shin, Heung Yong Jin, Jenny Moon, Hokyou Lee, Hyeon Chang Kim, In-Kyung Jeong
    Diabetes & Metabolism Journal.2023; 47(5): 632.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes Mellitus of the Korean Diabetes Association
    Jong Han Choi, Kyung Ae Lee, Joon Ho Moon, Suk Chon, Dae Jung Kim, Hyun Jin Kim, Nan Hee Kim, Ji A Seo, Mee Kyoung Kim, Jeong Hyun Lim, YoonJu Song, Ye Seul Yang, Jae Hyeon Kim, You-Bin Lee, Junghyun Noh, Kyu Yeon Hur, Jong Suk Park, Sang Youl Rhee, Hae J
    Diabetes & Metabolism Journal.2023; 47(5): 575.     CrossRef
  • Riesgo residual. Conclusiones
    Ángel Cequier, José Luis Zamorano
    Revista Española de Cardiología Suplementos.2023; 23: 25.     CrossRef
  • Intake of Fruit and Glycemic Control in Korean Patients with Diabetes Mellitus Using the Korea National Health and Nutrition Examination Survey
    Eunju Yoon, Ji Cheol Bae, Sunghwan Suh
    Endocrinology and Metabolism.2023; 38(5): 538.     CrossRef
  • 2023 Clinical Practice Guidelines for Diabetes
    Min Kyong Moon
    The Journal of Korean Diabetes.2023; 24(3): 120.     CrossRef
  • Cumulative effect of impaired fasting glucose on the risk of dementia in middle-aged and elderly people: a nationwide cohort study
    Jin Yu, Kyu-Na Lee, Hun-Sung Kim, Kyungdo Han, Seung-Hwan Lee
    Scientific Reports.2023;[Epub]     CrossRef
  • Coleus forskohlii Root Extract (ForcslimTM) as a Prospective Antidiabetic Agent: In vitro Glucose Uptake Stimulation and α-Amylase Inhibitory Effects
    Firoz Hirehal Hussain Mi, Channangihalli Thimmegowda Sadashiva, Neethumol Benny, Sreedrisya Ayippakkari Kuttiattu, Ravi Subban
    International Journal of Pharmacology.2023; 19(5): 730.     CrossRef
  • Comparison of on-Statin Lipid and Lipoprotein Levels for the Prediction of First Cardiovascular Event in Type 2 Diabetes Mellitus
    Ji Yoon Kim, Jimi Choi, Sin Gon Kim, Nam Hoon Kim
    Diabetes & Metabolism Journal.2023; 47(6): 837.     CrossRef
  • Differential Impact of Obesity on the Risk of Diabetes Development in Two Age Groups: Analysis from the National Health Screening Program
    Tae Kyung Yoo, Kyung-Do Han, Yang-Hyun Kim, Ga Eun Nam, Sang Hyun Park, Eun-Jung Rhee, Won-Young Lee
    Diabetes & Metabolism Journal.2023; 47(6): 846.     CrossRef
  • Strategies to Maintain the Remission of Diabetes Following Metabolic Surgery
    Mi Kyung Kim, Hye Soon Kim
    Journal of Metabolic and Bariatric Surgery.2023; 12(2): 26.     CrossRef
  • East Asian perspectives in metabolic and bariatric surgery
    Tae Jung Oh, Hyuk‐Joon Lee, Young Min Cho
    Journal of Diabetes Investigation.2022; 13(5): 756.     CrossRef
  • Recent Updates to Clinical Practice Guidelines for Diabetes Mellitus
    Jin Yu, Seung-Hwan Lee, Mee Kyoung Kim
    Endocrinology and Metabolism.2022; 37(1): 26.     CrossRef
  • Association between Physical Exercise and Glycated Hemoglobin Levels in Korean Patients Diagnosed with Diabetes
    Il Yun, Hye Jin Joo, Yu Shin Park, Eun-Cheol Park
    International Journal of Environmental Research and Public Health.2022; 19(6): 3280.     CrossRef
  • Effectiveness and safety of teneligliptin added to patients with type 2 diabetes inadequately controlled by oral triple combination therapy: A multicentre, randomized, double‐blind, and placebo‐controlled study
    Minyoung Lee, Woo‐je Lee, Jae Hyeon Kim, Byung‐Wan Lee
    Diabetes, Obesity and Metabolism.2022; 24(6): 1105.     CrossRef
  • Trends of severe hypoglycemia in patients with type 2 diabetes in Korea: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(8): 1438.     CrossRef
  • GLP-1 receptor agonists in diabetic kidney disease: current evidence and future directions
    Ji Hee Yu, So Young Park, Da Young Lee, Nan Hee Kim, Ji A Seo
    Kidney Research and Clinical Practice.2022; 41(2): 136.     CrossRef
  • Cardiorenal Risk Profiles Among Data-Driven Type 2 Diabetes Sub-Phenotypes: A Post-Hoc Analysis of the China Health and Nutrition Survey
    Hui Gao, Kan Wang, Wensui Zhao, Jianlin Zhuang, Yu Jiang, Lei Zhang, Qingping Liu, Fariba Ahmadizar
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Individualized Medical Nutrition Therapy for Diabetic Patients according to Diabetes Medication
    Juyeon Park
    The Journal of Korean Diabetes.2022; 23(1): 50.     CrossRef
  • Critical shear stress of red blood cells as a novel integrated biomarker for screening chronic kidney diseases in cases of type 2 diabetes
    Il Rae Park, Jimi Choi, Eun Young Ha, Seung Min Chung, Jun Sung Moon, Sehyun Shin, Sin Gon Kim, Kyu Chang Won
    Clinical Hemorheology and Microcirculation.2022; 81(4): 293.     CrossRef
  • Effects of exercise on reducing diabetes risk in Korean women according to menopausal status
    Jung-Hwan Cho, Hye-Mi Kwon, Se-Eun Park, Ju-Hwan Yoo, Kyung-Do Han, Eun-Jung Rhee, Won-Young Lee
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(2): 75.     CrossRef
  • Novel Glycemic Index Based on Continuous Glucose Monitoring to Predict Poor Clinical Outcomes in Critically Ill Patients: A Pilot Study
    Eun Yeong Ha, Seung Min Chung, Il Rae Park, Yin Young Lee, Eun Young Choi, Jun Sung Moon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Free Versus Fixed-Ratio Combination of Basal Insulin and GLP-1 Receptor Agonists in Type 2 Diabetes Uncontrolled With GLP-1 Receptor Agonists: A Systematic Review and Indirect Treatment Comparison
    Han Na Jung, Yun Kyung Cho, Se Hee Min, Hwi Seung Kim, Ye-Jee Kim, Joong-Yeol Park, Woo Je Lee, Chang Hee Jung
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Obesity, hypertension, diabetes mellitus, and hypercholesterolemia in Korean adults before and during the COVID-19 pandemic: a special report of the 2020 Korea National Health and Nutrition Examination Survey
    Ga Bin Lee, Yoonjung Kim, Suyeon Park, Hyeon Chang Kim, Kyungwon Oh
    Epidemiology and Health.2022; 44: e2022041.     CrossRef
  • Adherence to healthy lifestyle behaviors as a preventable risk factor for severe hypoglycemia in people with type 2 diabetes: A longitudinal nationwide cohort study
    Jae‐Seung Yun, Kyungdo Han, Yong‐Moon Park, Eugene Han, Yong‐ho Lee, Seung‐Hyun Ko
    Journal of Diabetes Investigation.2022; 13(9): 1533.     CrossRef
  • Diabetes Fact Sheet in Korea 2021
    Jae Hyun Bae, Kyung-Do Han, Seung-Hyun Ko, Ye Seul Yang, Jong Han Choi, Kyung Mook Choi, Hyuk-Sang Kwon, Kyu Chang Won
    Diabetes & Metabolism Journal.2022; 46(3): 417.     CrossRef
  • Comprehensive Understanding for Application in Korean Patients with Type 2 Diabetes Mellitus of the Consensus Statement on Carbohydrate-Restricted Diets by Korean Diabetes Association, Korean Society for the Study of Obesity, and Korean Society of Hyperte
    Jong Han Choi, Jee-Hyun Kang, Suk Chon
    Diabetes & Metabolism Journal.2022; 46(3): 377.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Diabetes & Metabolism Journal.2022; 46(3): 355.     CrossRef
  • Effect of carbohydrate-restricted diets and intermittent fasting on obesity, type 2 diabetes mellitus, and hypertension management: consensus statement of the Korean Society for the Study of obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Clinical Hypertension.2022;[Epub]     CrossRef
  • Efficacy of Personalized Diabetes Self-care Using an Electronic Medical Record–Integrated Mobile App in Patients With Type 2 Diabetes: 6-Month Randomized Controlled Trial
    Eun Young Lee, Seon-Ah Cha, Jae-Seung Yun, Sun-Young Lim, Jin-Hee Lee, Yu-Bae Ahn, Kun-Ho Yoon, Min Kyung Hyun, Seung-Hyun Ko
    Journal of Medical Internet Research.2022; 24(7): e37430.     CrossRef
  • A double‐blind, Randomized controlled trial on glucose‐lowering EFfects and safety of adding 0.25 or 0.5 mg lobeglitazone in type 2 diabetes patients with INadequate control on metformin and dipeptidyl peptidase‐4 inhibitor therapy: REFIND study
    Soree Ryang, Sang Soo Kim, Ji Cheol Bae, Ji Min Han, Su Kyoung Kwon, Young Il Kim, Il Seong Nam‐Goong, Eun Sook Kim, Mi‐kyung Kim, Chang Won Lee, Soyeon Yoo, Gwanpyo Koh, Min Jeong Kwon, Jeong Hyun Park, In Joo Kim
    Diabetes, Obesity and Metabolism.2022; 24(9): 1800.     CrossRef
  • Hypoglycemic agents and glycemic variability in individuals with type 2 diabetes: A systematic review and network meta-analysis
    SuA Oh, Sujata Purja, Hocheol Shin, Minji Kim, Eunyoung Kim
    Diabetes and Vascular Disease Research.2022; 19(3): 147916412211068.     CrossRef
  • Tolerability and Effectiveness of Switching to Dulaglutide in Patients With Type 2 Diabetes Inadequately Controlled With Insulin Therapy
    Youngsook Kim, Ji Hye Huh, Minyoung Lee, Eun Seok Kang, Bong-Soo Cha, Byung-Wan Lee
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Factors Influencing the Utilization of Diabetes Complication Tests Under the COVID-19 Pandemic: Machine Learning Approach
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
    Giwoong Choi, Hojun Yoon, Hyun Ho Choi, Kyoung Hwa Ha, Dae Jung Kim
    Age and Ageing.2022;[Epub]     CrossRef
  • Recent information on test utilization and intraindividual change in anti-glutamic acid decarboxylase antibody in Korea: a retrospective study
    Rihwa Choi, Wonseo Park, Gayoung Chun, Jiwon Lee, Sang Gon Lee, Eun Hee Lee
    BMJ Open Diabetes Research & Care.2022; 10(3): e002739.     CrossRef
  • Extra-Glycemic Effects of Anti-Diabetic Medications: Two Birds with One Stone?
    Eun-Jung Rhee
    Endocrinology and Metabolism.2022; 37(3): 415.     CrossRef
  • Pharmacological Treatment of Nonalcoholic Fatty Liver Disease: Antidiabetic Agents
    Kyung-Soo Kim
    The Journal of Korean Diabetes.2022; 23(2): 83.     CrossRef
  • Maintaining Physical Activity Is Associated with Reduced Major Adverse Cardiovascular Events in People Newly Diagnosed with Diabetes
    Duhoe Kim, Jaehun Seo, Kyoung Hwa Ha, Dae Jung Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 187.     CrossRef
  • Effect of Carbohydrate-Restricted Diets and Intermittent Fasting on Obesity, Type 2 Diabetes Mellitus, and Hypertension Management: Consensus Statement of the Korean Society for the Study of Obesity, Korean Diabetes Association, and Korean Society of Hype
    Jong Han Choi, Yoon Jeong Cho, Hyun-Jin Kim, Seung-Hyun Ko, Suk Chon, Jee-Hyun Kang, Kyoung-Kon Kim, Eun Mi Kim, Hyun Jung Kim, Kee-Ho Song, Ga Eun Nam, Kwang Il Kim
    Journal of Obesity & Metabolic Syndrome.2022; 31(2): 100.     CrossRef
  • Advanced Glycation End Products and Their Effect on Vascular Complications in Type 2 Diabetes Mellitus
    Jeongmin Lee, Jae-Seung Yun, Seung-Hyun Ko
    Nutrients.2022; 14(15): 3086.     CrossRef
  • Severe hypoglycemia as a risk factor for cardiovascular outcomes in patients with type 2 diabetes: is it preventable?
    Seung-Hyun Ko
    Cardiovascular Prevention and Pharmacotherapy.2022; 4(3): 106.     CrossRef
  • New, Novel Lipid-Lowering Agents for Reducing Cardiovascular Risk: Beyond Statins
    Kyuho Kim, Henry N. Ginsberg, Sung Hee Choi
    Diabetes & Metabolism Journal.2022; 46(4): 517.     CrossRef
  • Current status of obesity treatment in Korea: based on the 2020 Korean Society for the Study of Obesity guidelines for obesity management
    Eun-Jung Rhee
    Journal of the Korean Medical Association.2022; 65(7): 388.     CrossRef
  • Experiences of Using Wearable Continuous Glucose Monitors in Adults With Diabetes: A Qualitative Descriptive Study
    Hee Sun Kang, Hyang Rang Park, Chun-Ja Kim, Savitri Singh-Carlson
    The Science of Diabetes Self-Management and Care.2022; 48(5): 362.     CrossRef
  • 젊은 2형 당뇨병 환자의 관리
    재현 배
    Public Health Weekly Report.2022; 15(35): 2474.     CrossRef
  • Real-World Prescription Patterns and Barriers Related to the Use of Sodium-Glucose Cotransporter 2 Inhibitors among Korean Patients with Type 2 Diabetes Mellitus and Cardiovascular Disease
    Jong Ha Baek, Ye Seul Yang, Seung-Hyun Ko, Kyung Do Han, Jae Hyeon Kim, Min Kyong Moon, Jong Suk Park, Byung-Wan Lee, Tae Jung Oh, Suk Chon, Jong Han Choi, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2022; 46(5): 701.     CrossRef
  • Low-Density Lipoprotein Cholesterol Level, Statin Use and Myocardial Infarction Risk in Young Adults
    Heekyoung Jeong, Kyungdo Han, Soon Jib Yoo, Mee Kyoung Kim
    Journal of Lipid and Atherosclerosis.2022; 11(3): 288.     CrossRef
  • Blood Pressure Target in Type 2 Diabetes Mellitus
    Hyun-Jin Kim, Kwang-il Kim
    Diabetes & Metabolism Journal.2022; 46(5): 667.     CrossRef
  • Association of underweight status with the risk of tuberculosis: a nationwide population-based cohort study
    Su Hwan Cho, Hyun Lee, Hyuktae Kwon, Dong Wook Shin, Hee-Kyung Joh, Kyungdo Han, Jin Ho Park, Belong Cho
    Scientific Reports.2022;[Epub]     CrossRef
  • Exploring the risk factors of impaired fasting glucose in middle-aged population living in South Korean communities by using categorical boosting machine
    Haewon Byeon
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • External validation and clinical application of the predictive model for severe hypoglycemia
    Jae-Seung Yun, Kyungdo Han, Soo-Yeon Choi, Seon-Ah Cha, Yu-Bae Ahn, Seung-Hyun Ko
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Effect of Euonymus alatus Extracts on Diabetes Related Markers in Pancreatic β-Cells and C57BL/Ksj-db/db Mice
    Ye Rin Kim, Eun-young Kim, Seong Uk Lee, Young Wan Kim, Yoon Hee Kim
    Journal of the Korean Society of Food Science and Nutrition.2022; 51(9): 894.     CrossRef
  • Muscle fat contents rather than muscle mass determines nonalcoholic steatohepatitis and liver fibrosis in patients with severe obesity
    Eugene Han, Mi Kyung Kim, Hye Won Lee, Seungwan Ryu, Hye Soon Kim, Byoung Kuk Jang, Youngsung Suh
    Obesity.2022; 30(12): 2440.     CrossRef
  • Correlation between shift work and non-alcoholic fatty liver disease among male workers in the steel manufacturing company of Korea: a cross-sectional study
    Kiseok Kim, Yong-Jin Lee, Soon-Chan Kwon, Young-Sun Min, Hyun Kyo Lee, Gwangin Baek, Sang Hyeon Kim, Eun-Chul Jang
    Annals of Occupational and Environmental Medicine.2022;[Epub]     CrossRef
  • FGM-based remote intervention for adults with type 1 diabetes: The FRIEND randomized clinical trial
    Jinju Lee, Myeong Hoon Lee, Jiyun Park, Kyung-Soo Kim, Soo-Kyung Kim, Yong-Wook Cho, Hyun Wook Han, Young Shin Song
    Frontiers in Endocrinology.2022;[Epub]     CrossRef
  • Screening for Prediabetes and Diabetes in Korean Nonpregnant Adults: A Position Statement of the Korean Diabetes Association, 2022
    Kyung Ae Lee, Dae Jung Kim, Kyungdo Han, Suk Chon, Min Kyong Moon
    Diabetes & Metabolism Journal.2022; 46(6): 819.     CrossRef
  • Blood Pressure Control in Patients with Diabetic Kidney Disease
    Yaeni Kim, Won Kim, Jwa-Kyung Kim, Ju Young Moon, Samel Park, Cheol Whee Park, Hoon Suk Park, Sang Heon Song, Tae-Hyun Yoo, So-Young Lee, Eun Young Lee, Jeonghwan Lee, Kyubok Jin, Dae Ryong Cha, Jin Joo Cha, Sang Youb Han
    Electrolytes & Blood Pressure.2022; 20(2): 39.     CrossRef
  • The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
    Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
    Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303.     CrossRef
  • Oral Semaglutide, the First Ingestible Glucagon-Like Peptide-1 Receptor Agonist: Could It Be a Magic Bullet for Type 2 Diabetes?
    Hwi Seung Kim, Chang Hee Jung
    International Journal of Molecular Sciences.2021; 22(18): 9936.     CrossRef
  • Long-term effectiveness and safety of quadruple combination therapy with empagliflozin versus dapagliflozin in patients with type 2 diabetes: 3-year prospective observational study
    Eu Jeong Ku, Dong-Hwa Lee, Hyun Jeong Jeon, Tae Keun Oh
    Diabetes Research and Clinical Practice.2021; 182: 109123.     CrossRef
  • Albuminuria Is Associated with Steatosis Burden in Patients with Type 2 Diabetes Mellitus and Nonalcoholic Fatty Liver Disease (Diabetes Metab J 2021;45:698-707)
    Mi-kyung Kim
    Diabetes & Metabolism Journal.2021; 45(6): 968.     CrossRef
  • Incidence and Risk Factors for Progression to Diabetes Mellitus: A Retrospective Cohort Study
    Min Kyung Hyun, Jong Heon Park, Kyoung Hoon Kim, Soon-Ki Ahn, Seon Mi Ji
    International Journal of Environmental Research and Public Health.2021; 19(1): 123.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Pharmacotherapy and the Korean Diabetes Association Support System
    Kyu Yeon Hur
    The Journal of Korean Diabetes.2021; 22(4): 250.     CrossRef
  • 2021 Clinical Practice Guidelines for Diabetes: Management of Cardiovascular Risk
    Min Kyong Moon
    The Journal of Korean Diabetes.2021; 22(4): 259.     CrossRef
Complications
Association of Urinary N-Acetyl-β-D-Glucosaminidase with Cardiovascular Autonomic Neuropathy in Type 1 Diabetes Mellitus without Nephropathy
Min Sun Choi, Ji Eun Jun, Sung Woon Park, Jee Hee Yoo, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2021;45(3):349-357.   Published online February 2, 2021
DOI: https://doi.org/10.4093/dmj.2019.0211
  • 5,606 View
  • 121 Download
  • 1 Web of Science
  • 2 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFPubReader   ePub   
Background
Cardiovascular autonomic neuropathy (CAN) is a common microvascular complication of diabetes and related to albuminuria in diabetic nephropathy (DN). Urinary N-acetyl-β-D-glucosaminidase (uNAG) is a renal tubular injury marker which has been reported as an early marker of DN even in patients with normoalbuminuria. This study evaluated whether uNAG is associated with the presence and severity of CAN in patients with type 1 diabetes mellitus (T1DM) without nephropathy.
Methods
This cross-sectional study comprised 247 subjects with T1DM without chronic kidney disease and albuminuria who had results for both uNAG and autonomic function tests within 3 months. The presence of CAN was assessed by age-dependent reference values for four autonomic function tests. Total CAN score was assessed as the sum of the partial points of five cardiovascular reflex tests and was used to estimatethe severity of CAN. The correlations between uNAG and heart rate variability (HRV) parameters were analyzed.
Results
The association between log-uNAG and presence of CAN was significant in a multivariate logistic regression model (adjusted odds ratio, 2.39; 95% confidence interval [CI], 1.08 to 5.28; P=0.031). Total CAN score was positively associated with loguNAG (β=0.261, P=0.026) in the multivariate linear regression model. Log-uNAG was inversely correlated with frequency-domain and time-domain indices of HRV.
Conclusion
This study verified the association of uNAG with presence and severity of CAN and changes in HRV in T1DM patients without nephropathy. The potential role of uNAG should be further assessed for high-risk patients for CAN in T1DM patients without nephropathy.

Citations

Citations to this article as recorded by  
  • Determination of Diabetes-associated Cardiovascular Autonomic Neuropathy Risk Factors among Insulin and Non-insulin Dependent Diabetics
    Ibrahim Abdulsada, Zain Alabdeen Obaid, Farah Almerza, Mays Alwaeli, Anmar Al-Elayawi, Taha Al-Dayyeni, Harir Al-Tuhafy
    The Journal of Medical Research.2023; 9(6): 141.     CrossRef
  • Association between carotid atherosclerosis and presence of intracranial atherosclerosis using three-dimensional high-resolution vessel wall magnetic resonance imaging in asymptomatic patients with type 2 diabetes
    Ji Eun Jun, You-Cheol Hwang, Kyu Jeong Ahn, Ho Yeon Chung, Geon-Ho Jahng, Soonchan Park, In-Kyung Jeong, Chang-Woo Ryu
    Diabetes Research and Clinical Practice.2022; 191: 110067.     CrossRef
Type 1 Diabetes
Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2021;45(1):46-54.   Published online July 10, 2020
DOI: https://doi.org/10.4093/dmj.2019.0134
  • 6,762 View
  • 229 Download
  • 10 Web of Science
  • 10 Crossref
AbstractAbstract PDFPubReader   ePub   
Background

The aim of this study was to evaluate characteristics and risk of diabetic complications according to age at diagnosis among young adults with type 1 diabetes mellitus (T1DM).

Methods

A total of 255 T1DM patients aged less than 40 years were included. Patients were categorized into three groups (<20, 20 to 29, and 30 to 40 years) according to age at diagnosis. Diabetic nephropathy (DN) was defined when spot urine-albumin creatinine ratio was 300 mg/g or more and/or estimated glomerular filtration ratio (eGFR) level was 60 mL/min/1.73 m2 or less.

Results

Median age at diagnosis was 25 years and disease duration was 14 years. Individuals diagnosed with T1DM at childhood/adolescent (age <20 years) had lower stimulated C-peptide levels. They received more intensive insulin treatment with higher total daily insulin doses compared to older onset groups. The prevalence of DN was higher in the childhood/adolescent-onset group than in older onset groups (25.3% vs. 15.3% vs. 9.6%, P=0.022). The eGFR was inversely associated with disease duration whilst the degree of decrease was more prominent in the childhood/adolescent-onset group than in the later onset group (aged 30 to 40 years; P<0.001). Childhood/adolescent-onset group was independently associated with the risk of DN compared to the older onset group (aged 30 to 40 years; odds ratio, 3.47; 95% confidence interval, 1.45 to 8.33; P=0.005).

Conclusion

In individuals with childhood/adolescent-onset T1DM, the reduction in renal function is more prominent with disease duration. Early age-onset T1DM is an independent risk of DN.

Citations

Citations to this article as recorded by  
  • Age at onset of type 1 diabetes between puberty and 30 years old is associated with increased diabetic nephropathy risk
    Yen-Bo Lin, Wayne Huey-Herng Sheu, Su-Huey Lo, Yen-Po Yeh, Chien-Ning Huang, Chii-Min Hwu, Chang-Hsun Hsieh, Horng-Yi Ou, Lee-Ming Chuang, Jung-Fu Chen, Yu-Cheng Chen, Yun-Hsing Peng, Szu-Tah Chen, Shang-Ren Hsu, Yi-Ling Hsieh, Chih-Hsun Chu, Chieg-Hsiang
    Scientific Reports.2024;[Epub]     CrossRef
  • Targeted mapping and utilization of the perihepatic surface for therapeutic beta cell replacement and retrieval in diabetic non-human primates
    David J. Leishman, Scott H. Oppler, Laura L. Hocum Stone, Timothy D. O’Brien, Sabarinathan Ramachandran, Bradley J. Willenberg, Andrew B. Adams, Bernhard J. Hering, Melanie L. Graham
    Frontiers in Transplantation.2024;[Epub]     CrossRef
  • Network-based identification and prioritization of key transcriptional factors of diabetic kidney disease
    Ikhlak Ahmed, Mubarak Ziab, Sahar Da’as, Waseem Hasan, Sujitha P. Jeya, Elbay Aliyev, Sabah Nisar, Ajaz A. Bhat, Khalid Adnan Fakhro, Ammira S. Alshabeeb Akil
    Computational and Structural Biotechnology Journal.2023; 21: 716.     CrossRef
  • Comparison of diabetes distress and depression screening results of emerging adults with type 1 diabetes onset at different ages: findings from the German early-onset T1D study and the German Diabetes Study (GDS)
    Anna Stahl-Pehe, Christina Bächle, Kálmán Bódis, Oana-Patricia Zaharia, Karin Lange, Reinhard W. Holl, Michael Roden, Joachim Rosenbauer, M. Roden, H. Al-Hasani, B Belgardt, GJ. Bönhof, V Burkart, A. E. Buyken, G. Geerling, C. Herder, A. Icks, K. Jandelei
    Diabetology & Metabolic Syndrome.2023;[Epub]     CrossRef
  • Hemoperfusion and functional state of the macula after simultaneous pancreas and kidney transplantation
    IV Vorobyeva, EV Bulava, LK Moshetova, AV Pinchuk
    Bulletin of Russian State Medical University.2022;[Epub]     CrossRef
  • Sigesbeckia orientalis Extract Ameliorates the Experimental Diabetic Nephropathy by Downregulating the Inflammatory and Oxidative Stress Signaling Pathways
    Chung-Ming Chen, Jer-Yiing Houng, Tsui-Ling Ko, Shu-Hui Juan, Hsiu-Chu Chou, Xing Li
    Evidence-Based Complementary and Alternative Medicine.2022; 2022: 1.     CrossRef
  • Impact of low-protein diet on cardiovascular risk factors and kidney function in diabetic nephropathy: A systematic review and meta-analysis of randomized-controlled trials
    Mohammad Hassan Sohouli, Parvin Mirmiran, Shaikh Sanjid Seraj, Emad Kutbi, Hadil Ali Mohammed Alkahmous, Faisal Almuqayyid, Omar Ahnaf Arafah, Abdul Rahman Riad Barakeh, Ahmed Abu-Zaid
    Diabetes Research and Clinical Practice.2022; 191: 110068.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Jong Ha Baek, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2021; 45(2): 281.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2021; 45(2): 277.     CrossRef
  • Role of magnetic resonance diffusion weighted imaging in diagnosis of diabetic nephropathy in children living with type 1 diabetes mellitus
    Eman Nabil Wahba, Ashraf Elsharkawy, Mohammad Hosny Awad, Ashraf Abdel Rahman, Amr Sarhan
    Journal of Pediatric Endocrinology and Metabolism.2021; 34(12): 1585.     CrossRef
Response: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
Diabetes Metab J. 2020;44(2):358-359.   Published online April 23, 2020
DOI: https://doi.org/10.4093/dmj.2020.0080
[Original]
  • 4,045 View
  • 58 Download
PDFPubReader   
Drug/Regimen
An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment
Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
Diabetes Metab J. 2020;44(1):56-66.   Published online October 21, 2019
DOI: https://doi.org/10.4093/dmj.2018.0227
  • 6,438 View
  • 133 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

We aimed to describe the outcome of a computerized intravenous insulin infusion (CII) protocol integrated to the electronic health record (EHR) system and to improve the CII protocol in silico using the EHR-based predictors of the outcome.

Methods

Clinical outcomes of the patients who underwent the CII protocol between July 2016 and February 2017 and their matched controls were evaluated. In the CII protocol group (n=91), multivariable binary logistic regression analysis models were used to determine the independent associates with a delayed response (taking ≥6.0 hours for entering a glucose range of 70 to 180 mg/dL). The CII protocol was adjusted in silico according to the EHR-based parameters obtained in the first 3 hours of CII.

Results

Use of the CII protocol was associated with fewer subjects with hypoglycemia alert values (P=0.003), earlier (P=0.002), and more stable (P=0.017) achievement of a glucose range of 70 to 180 mg/dL. Initial glucose level (P=0.001), change in glucose during the first 2 hours (P=0.026), and change in insulin infusion rate during the first 3 hours (P=0.029) were independently associated with delayed responses. Increasing the insulin infusion rate temporarily according to these parameters in silico significantly reduced delayed responses (P<0.0001) without hypoglycemia, especially in refractory patients.

Conclusion

Our CII protocol enabled faster and more stable glycemic control than conventional care with minimized risk of hypoglycemia. An EHR-based adjustment was simulated to reduce delayed responses without increased incidence of hypoglycemia.

Citations

Citations to this article as recorded by  
  • Response: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
    Sung Woon Park, Seunghyun Lee, Won Chul Cha, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Sung-Min Park, Sang-Man Jin
    Diabetes & Metabolism Journal.2020; 44(2): 358.     CrossRef
  • Letter: An Electronic Health Record-Integrated Computerized Intravenous Insulin Infusion Protocol: Clinical Outcomes and in Silico Adjustment (Diabetes Metab J 2020;44:56–66)
    Dongwon Yi
    Diabetes & Metabolism Journal.2020; 44(2): 354.     CrossRef
Clinical Diabetes & Therapeutics
Additional Effect of Dietary Fiber in Patients with Type 2 Diabetes Mellitus Using Metformin and Sulfonylurea: An Open-Label, Pilot Trial
Seung-Eun Lee, Yongbin Choi, Ji Eun Jun, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Gwang Pyo Ko, Moon-Kyu Lee
Diabetes Metab J. 2019;43(4):422-431.   Published online April 23, 2019
DOI: https://doi.org/10.4093/dmj.2018.0090
  • 5,737 View
  • 74 Download
  • 8 Web of Science
  • 7 Crossref
AbstractAbstract PDFPubReader   
Background

Metformin, sulfonylurea, and dietary fiber are known to affect gut microbiota in patients with type 2 diabetes mellitus (T2DM). This open and single-arm pilot trial investigated the effects of the additional use of fiber on glycemic parameters, insulin, incretins, and microbiota in patients with T2DM who had been treated with metformin and sulfonylurea.

Methods

Participants took fiber for 4 weeks and stopped for the next 4 weeks. Glycemic parameters, insulin, incretins during mixed-meal tolerance test (MMTT), lipopolysaccharide (LPS) level, and fecal microbiota were analyzed at weeks 0, 4, and 8. The first tertile of difference in glucose area under the curve during MMTT between weeks 0 and 4 was defined as ‘responders’ and the third as ‘nonresponders,’ respectively.

Results

In all 10 participants, the peak incretin levels during MMTT were higher and LPS were lower at week 4 as compared with at baseline. While the insulin sensitivity of the ‘responders’ increased at week 4, that of the ‘nonresponders’ showed opposite results. However, the results were not statistically significant. In all participants, metabolically unfavorable microbiota decreased at week 4 and were restored at week 8. At baseline, metabolically hostile bacteria were more abundant in the ‘nonresponders.’ In ‘responders,’ Roseburia intestinalis increased at week 4.

Conclusion

While dietary fiber did not induce additional changes in glycemic parameters, it showed a trend of improvement in insulin sensitivity in ‘responders.’ Even if patients are already receiving diabetes treatment, the additional administration of fiber can lead to additional benefits in the treatment of diabetes.

Citations

Citations to this article as recorded by  
  • The effects of prebiotics on gastrointestinal side effects of metformin in youth: A pilot randomized control trial in youth-onset type 2 diabetes
    Sydney A. Dixon, Sidharth Mishra, Katrina B. Dietsche, Shalini Jain, Lilian Mabundo, Michael Stagliano, Andrea Krenek, Amber Courville, Shanna Yang, Sara A. Turner, Abby G. Meyers, Doris E. Estrada, Hariom Yadav, Stephanie T. Chung
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • The impact of dietary, surgical, and pharmacological interventions on gut microbiota in individuals with diabetes mellitus: A systematic review
    Patricia M. Bock, Andreza F. Martins, Rafaela Ramalho, Gabriela H. Telo, Gabriel Leivas, Clara K. Maraschin, Beatriz D. Schaan
    Diabetes Research and Clinical Practice.2022; 189: 109944.     CrossRef
  • Assessment of the safety and probiotic properties of Roseburia intestinalis: A potential “Next Generation Probiotic”
    Chao Zhang, Kejia Ma, Kai Nie, Minzi Deng, Weiwei Luo, Xing Wu, Yujun Huang, Xiaoyan Wang
    Frontiers in Microbiology.2022;[Epub]     CrossRef
  • The Effect of Prebiotics and Oral Anti-Diabetic Agents on Gut Microbiome in Patients with Type 2 Diabetes: A Systematic Review and Network Meta-Analysis of Randomised Controlled Trials
    Omorogieva Ojo, Xiaohua Wang, Osarhumwese Osaretin Ojo, Joanne Brooke, Yiqing Jiang, Qingqing Dong, Trevor Thompson
    Nutrients.2022; 14(23): 5139.     CrossRef
  • The Effect of Dietary Interventions on Chronic Inflammatory Diseases in Relation to the Microbiome: A Systematic Review
    Carlijn A. Wagenaar, Marieke van de Put, Michelle Bisschops, Wendy Walrabenstein, Catharina S. de Jonge, Hilde Herrema, Dirkjan van Schaardenburg
    Nutrients.2021; 13(9): 3208.     CrossRef
  • The Role of Dietary Fibre in Modulating Gut Microbiota Dysbiosis in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomised Controlled Trials
    Omorogieva Ojo, Qian-Qian Feng, Osarhumwese Osaretin Ojo, Xiao-Hua Wang
    Nutrients.2020; 12(11): 3239.     CrossRef
  • High Fiber and Beta Carotene from Sweet Potatoes and Pumpkin Improve Insulin Resistance by Inhibition of Sterol Regulatory Binding Protein 1c in Liver of Hypertriglyceridemic Rats
    Sunarti Sunarti, Umar Santoso, Abrory Agus Cahya Pramana, Emy Huriyati, Dianandha Septiana Rubi
    Open Access Macedonian Journal of Medical Sciences.2020; 8(A): 898.     CrossRef
Obesity and Metabolic Syndrome
The Protective Effects of Increasing Serum Uric Acid Level on Development of Metabolic Syndrome
Tae Yang Yu, Sang-Man Jin, Jae Hwan Jee, Ji Cheol Bae, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2019;43(4):504-520.   Published online February 21, 2019
DOI: https://doi.org/10.4093/dmj.2018.0079
  • 4,682 View
  • 52 Download
  • 14 Web of Science
  • 11 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

It has not been determined whether changes in serum uric acid (SUA) level are associated with incident metabolic syndrome (MetS). The aim of the current study was to investigate the relationship between changes in SUA level and development of MetS in a large number of subjects.

Methods

In total, 13,057 subjects participating in a medical health check-up program without a diagnosis of MetS at baseline were enrolled. Cox proportional hazards models were used to test the independent association of percent changes in SUA level with development of MetS.

Results

After adjustment for age, systolic blood pressure, body mass index, fat-free mass (%), estimated glomerular filtration rate, smoking status, fasting glucose, triglyceride, low density lipoprotein cholesterol, high density lipoprotein cholesterol, and baseline SUA levels, the hazard ratios (HRs) (95% confidence intervals [CIs]) for incident MetS in the second, third, and fourth quartiles compared to the first quartile of percent change in SUA level were 1.055 (0.936 to 1.190), 0.927 (0.818 to 1.050), and 0.807 (0.707 to 0.922) in male (P for trend <0.001) and 1.000 (0.843 to 1.186), 0.744 (0.615 to 0.900), and 0.684 (0.557 to 0.840) in female (P for trend <0.001), respectively. As a continuous variable in the fully-adjusted model, each one-standard deviation increase in percent change in SUA level was associated with an HR (95% CI) for incident MetS of 0.944 (0.906 to 0.982) in male (P=0.005) and 0.851 (0.801 to 0.905) in female (P<0.001).

Conclusion

The current study demonstrated that increasing SUA level independently protected against the development of MetS, suggesting a possible role of SUA as an antioxidant in the pathogenesis of incident MetS.

Citations

Citations to this article as recorded by  
  • High prevalence of hyperuricemia and the association with metabolic syndrome in the rural areas of Southwestern China: A structural equation modeling based on the Zhuang minority cohort
    Xiaofen Tang, Shun Liu, Xiaoqiang Qiu, Li Su, Dongping Huang, Jun Liang, Yu Yang, Jennifer Hui Juan Tan, Xiaoyun Zeng, Yihong Xie
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(2): 497.     CrossRef
  • Predictive Value of Collagen Biomarkers in Advanced Chronic Kidney Disease Patients
    Carina Ureche, Gianina Dodi, Adela Mihaela Șerban, Andreea Simona Covic, Luminița Voroneanu, Simona Hogaș, Radu Andy Sascău, Cristian Stătescu, Adrian Covic
    Biomolecules.2023; 13(2): 389.     CrossRef
  • The bidirectional relationship between metabolic syndrome and hyperuricemia in China: A longitudinal study from CHARLS
    Wen-Yu Chen, Yan-Peng Fu, Min Zhou
    Endocrine.2022; 76(1): 62.     CrossRef
  • Correlation between Serum Oxidative Stress Level and Serum Uric Acid and Prognosis in Patients with Hepatitis B-Related Liver Cancer before Operation
    Maowen Yu, Chaozhu Zhang, Hongbo Tang, Chaohui Xiao, Hangjun Che
    Journal of Healthcare Engineering.2022; 2022: 1.     CrossRef
  • Association between metabolic syndrome and uric acid: a systematic review and meta-analysis
    Elena Raya-Cano, Manuel Vaquero-Abellán, Rafael Molina-Luque, Domingo De Pedro-Jiménez, Guillermo Molina-Recio, Manuel Romero-Saldaña
    Scientific Reports.2022;[Epub]     CrossRef
  • Acute moderate‐intensity aerobic exercise promotes purinergic and inflammatory responses in sedentary, overweight and physically active subjects
    Cesar Eduardo Jacintho Moritz, Franccesco Pinto Boeno, Alexandra Ferreira Vieira, Samuel Vargas Munhoz, Juliete Nathali Scholl, Amanda de Fraga Dias, Pauline Rafaela Pizzato, Fabrício Figueiró, Ana Maria Oliveira Battastini, Alvaro Reischak‐Oliveira
    Experimental Physiology.2021; 106(4): 1024.     CrossRef
  • Association between baseline and changes in serum uric acid and incident metabolic syndrome: a nation-wide cohort study and updated meta-analysis
    Sen Chen, Nianwei Wu, Chuan Yu, Ying Xu, Chengfu Xu, Yuli Huang, Jian Zhao, Ningxiu Li, Xiong-Fei Pan
    Nutrition & Metabolism.2021;[Epub]     CrossRef
  • Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
    Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
    Obesity Reviews.2021;[Epub]     CrossRef
  • Inverse associations between serum urate and glycemic status in a general population and in persons with diabetes mellitus
    Ichiro Wakabayashi
    Diabetology & Metabolic Syndrome.2020;[Epub]     CrossRef
  • Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Mendelian Randomization Analysis
    Lu Wang, Tao Zhang, Yafei Liu, Fang Tang, Fuzhong Xue
    BioMed Research International.2020; 2020: 1.     CrossRef
  • Association between Serum Uric Acid and Metabolic Syndrome in Koreans
    Jihyun Jeong, Young Ju Suh
    Journal of Korean Medical Science.2019;[Epub]     CrossRef
Epidemiology
High Proportion of Adult Cases and Prevalence of Metabolic Syndrome in Type 1 Diabetes Mellitus Population in Korea: A Nationwide Study
You-Bin Lee, Kyungdo Han, Bongsung Kim, Sang-Man Jin, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Jae Hyeon Kim
Diabetes Metab J. 2019;43(1):76-89.   Published online August 22, 2018
DOI: https://doi.org/10.4093/dmj.2018.0048
  • 5,835 View
  • 108 Download
  • 26 Web of Science
  • 30 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

The prevalence and incidence of type 1 diabetes mellitus (T1DM) in all age groups and the prevalence of metabolic syndrome in patients with T1DM in Korea were estimated.

Methods

The incidence and prevalence of T1DM between 2007 and 2013 were calculated using the Korean National Health Insurance Service (NHIS) datasets of claims. Clinical characteristics and prevalence of metabolic syndrome in individuals with T1DM between 2009 and 2013 were determined using the database of NHIS preventive health checkups.

Results

The prevalence of T1DM in Korea between 2007 and 2013 was 0.041% to 0.047%. The annual incidence rate of T1DM in Korea in 2007 to 2013 was 2.73 to 5.02/100,000 people. Although the incidence rate of typical T1DM was highest in teenagers, it remained steady in adults over 30 years of age. In contrast, the incidence rate of atypical T1DM in 2013 was higher in people aged 40 years or older than in younger age groups. Age- and sex-adjusted prevalence of metabolic syndrome in patients with T1DM was 51.65% to 55.06% between 2009 and 2013.

Conclusion

T1DM may be more common in Korean adults than previously believed. Metabolic syndrome may be a frequent finding in individuals with T1DM in Korea.

Citations

Citations to this article as recorded by  
  • Increased risk of incident mental disorders in adults with new-onset type 1 diabetes diagnosed after the age of 19: A nationwide cohort study
    Seohyun Kim, Gyuri Kim, So Hyun Cho, Rosa Oh, Ji Yoon Kim, You-Bin Lee, Sang-Man Jin, Kyu Yeon Hur, Jae Hyeon Kim
    Diabetes & Metabolism.2024; 50(1): 101505.     CrossRef
  • Incidence and trends of type 1 diabetes before and after 2000 in the Western Pacific Region: A systematic review and meta-analysis
    Du Wang, Xiaoli Hou, Juan Huang, Jianjing Sun, Takashi Kadowaki, Moon-Kyu Lee, Alicia J. Jenkins, Linong Ji
    Diabetes Research and Clinical Practice.2024; 207: 111055.     CrossRef
  • The emergence of obesity in type 1 diabetes
    Martin T. W. Kueh, Nicholas W. S. Chew, Ebaa Al-Ozairi, Carel W. le Roux
    International Journal of Obesity.2024; 48(3): 289.     CrossRef
  • Prevalence of Metabolic Syndrome and Its Risk Factors Influence on Microvascular Complications in Patients With Type 1 and Type 2 Diabetes Mellitus
    Asad Riaz, Shoaib Asghar, Salman Shahid, Haider Tanvir, Muhammad Hamza Ejaz, Mamuna Akram
    Cureus.2024;[Epub]     CrossRef
  • Risk of Depression according to Cumulative Exposure to a Low-Household Income Status in Individuals with Type 2 Diabetes Mellitus: A Nationwide Population- Based Study
    So Hee Park, You-Bin Lee, Kyu-na Lee, Bongsung Kim, So Hyun Cho, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2024; 48(2): 290.     CrossRef
  • Comparison of Insulin-Treated Patients with Ambiguous Diabetes Type with Definite Type 1 and Type 2 Diabetes Mellitus Subjects: A Clinical Perspective
    Insa Laspe, Juris J. Meier, Michael A. Nauck
    Diabetes & Metabolism Journal.2023; 47(1): 140.     CrossRef
  • Clinical and biochemical profile of childhood–adolescent-onset type 1 diabetes and adult-onset type 1 diabetes among Asian Indians
    Viswanathan Mohan, Ganesan Uma Sankari, Anandakumar Amutha, Ranjit Mohan Anjana, Saravanan Jeba Rani, Ranjit Unnikrishnan, Ulagamathesan Venkatesan, Coimbatore Subramanian Shanthi Rani
    Acta Diabetologica.2023; 60(4): 579.     CrossRef
  • Subtypes of type 2 diabetes and their association with outcomes in Korean adults - A cluster analysis of community-based prospective cohort
    You-Cheol Hwang, Hong-Yup Ahn, Ji Eun Jun, In-Kyung Jeong, Kyu Jeung Ahn, Ho Yeon Chung
    Metabolism.2023; 141: 155514.     CrossRef
  • Insulin Fact Sheet in Type 1 and 2 Diabetes Mellitus and Trends of Antidiabetic Medication Use in Insulin Users with Type 2 Diabetes Mellitus: 2002 to 2019
    Jiyun Park, Gyuri Kim, Bong-Sung Kim, Kyung-Do Han, So Yoon Kwon, So Hee Park, You-Bin Lee, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(2): 211.     CrossRef
  • Insulin resistance is more frequent in type 1 diabetes patients with long disease duration
    Yuting Xie, Mei Shi, Xiaolin Ji, Fansu Huang, Li Fan, Xia Li, Zhiguang Zhou
    Diabetes/Metabolism Research and Reviews.2023;[Epub]     CrossRef
  • Long-term Effectiveness of the National Diabetes Quality Assessment Program in South Korea
    Ji Hye Huh, Serim Kwon, Gui Ok Kim, Bo Yeon Kim, Kyoung Hwa Ha, Dae Jung Kim
    Diabetes Care.2023; 46(9): 1700.     CrossRef
  • Low Household Income Status and Death from Pneumonia in People with Type 2 Diabetes Mellitus: A Nationwide Study
    You-Bin Lee, So Hee Park, Kyu-na Lee, Bongsung Kim, So Yoon Kwon, Jiyun Park, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2023; 47(5): 682.     CrossRef
  • Impact of statin treatment on cardiovascular risk in patients with type 1 diabetes: a population-based cohort study
    Joonsang Yoo, Jimin Jeon, Minyoul Baek, Sun Ok Song, Jinkwon Kim
    Journal of Translational Medicine.2023;[Epub]     CrossRef
  • Association between Metabolic Syndrome and Microvascular Complications in Chinese Adults with Type 1 Diabetes Mellitus
    Qianwen Huang, Daizhi Yang, Hongrong Deng, Hua Liang, Xueying Zheng, Jinhua Yan, Wen Xu, Xiangwen Liu, Bin Yao, Sihui Luo, Jianping Weng
    Diabetes & Metabolism Journal.2022; 46(1): 93.     CrossRef
  • The Incidence of Adult-Onset Type 1 Diabetes: A Systematic Review From 32 Countries and Regions
    Jessica L. Harding, Pandora L. Wander, Xinge Zhang, Xia Li, Suvi Karuranga, Hongzhi Chen, Hong Sun, Yuting Xie, Richard A. Oram, Dianna J. Magliano, Zhiguang Zhou, Alicia J. Jenkins, Ronald C.W. Ma
    Diabetes Care.2022; 45(4): 994.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus
    Jong Ha Baek, Woo Je Lee, Byung-Wan Lee, Soo Kyoung Kim, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2021; 45(1): 46.     CrossRef
  • Genomic ancestry and metabolic syndrome in individuals with type 1 diabetes from an admixed population: a multicentre, cross‐sectional study in Brazil
    B. S. V. Barros, D. C. Santos, L. G. N. Melo, M. H. Pizarro, L. H. Muniz, D. A. Silva, L. C. Porto, M. B. Gomes
    Diabetic Medicine.2021;[Epub]     CrossRef
  • The Interplay Between Diet and the Epigenome in the Pathogenesis of Type-1 Diabetes
    Amira Kohil, Maha Al-Asmakh, Mashael Al-Shafai, Annalisa Terranegra
    Frontiers in Nutrition.2021;[Epub]     CrossRef
  • Risk of early mortality and cardiovascular disease according to the presence of recently diagnosed diabetes and requirement for insulin treatment: A nationwide study
    You‐Bin Lee, Kyungdo Han, Bongsung Kim, Min Sun Choi, Jiyun Park, Minyoung Kim, Sang‐Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Journal of Diabetes Investigation.2021; 12(10): 1855.     CrossRef
  • Age at Diagnosis and the Risk of Diabetic Nephropathy in Young Patients with Type 1 Diabetes Mellitus (Diabetes Metab J 2021;45:46-54)
    Ye Seul Yang, Tae Seo Sohn
    Diabetes & Metabolism Journal.2021; 45(2): 277.     CrossRef
  • Comparison of fracture risk between type 1 and type 2 diabetes: a comprehensive real-world data
    J. Ha, C. Jeong, K.-D. Han, Y. Lim, M.K. Kim, H.-S. Kwon, K.-H. Song, M.I. Kang, K.-H. Baek
    Osteoporosis International.2021; 32(12): 2543.     CrossRef
  • Early mortality and cardiovascular disease, varied association with body mass index and its changes in insulin-treated diabetes: a nationwide study
    You-Bin Lee, Bongsung Kim, Jiyun Park, Minyoung Kim, Min Sun Choi, Gyuri Kim, Sang-Man Jin, Kyu Yeon Hur, Kyungdo Han, Jae Hyeon Kim
    International Journal of Obesity.2021; 45(11): 2482.     CrossRef
  • Young-onset type 2 diabetes in South Korea: a review of the current status and unmet need
    Ye Seul Yang, Kyungdo Han, Tae Seo Sohn, Nam Hoon Kim
    The Korean Journal of Internal Medicine.2021; 36(5): 1049.     CrossRef
  • Positive association between the ratio of triglycerides to high-density lipoprotein cholesterol and diabetes incidence in Korean adults
    Joungyoun Kim, Sang-Jun Shin, Ye-Seul Kim, Hee-Taik Kang
    Cardiovascular Diabetology.2021;[Epub]     CrossRef
  • Mortality and causes of death in a population with blindness in Korea: A longitudinal follow-up study using a national sample cohort
    Hyo Geun Choi, Min Joung Lee, Sang-Mok Lee
    Scientific Reports.2020;[Epub]     CrossRef
  • Hospitalization for heart failure incidence according to the transition in metabolic health and obesity status: a nationwide population-based study
    You-Bin Lee, Da Hye Kim, Seon Mee Kim, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Yong Gyu Park, Kyungdo Han, Hye Jin Yoo
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Management of Type 1 Diabetes Mellitus in Adults
    Hye Ryoung Yun
    The Journal of Korean Diabetes.2020; 21(3): 156.     CrossRef
  • New Insulin Pumps and Open Source Artificial Pancreas System in Korea
    Jae Hyeon Kim
    The Journal of Korean Diabetes.2020; 21(4): 197.     CrossRef
  • Risk of early mortality and cardiovascular disease in type 1 diabetes: a comparison with type 2 diabetes, a nationwide study
    You-Bin Lee, Kyungdo Han, Bongsung Kim, Seung-Eun Lee, Ji Eun Jun, Jiyeon Ahn, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Risk of end‐stage renal disease from chronic kidney disease defined by decreased glomerular filtration rate in type 1 diabetes: A comparison with type 2 diabetes and the effect of metabolic syndrome
    You‐Bin Lee, Kyungdo Han, Bongsung Kim, Ji Eun Jun, Seung‐Eun Lee, Jiyeon Ahn, Gyuri Kim, Sang‐Man Jin, Jae Hyeon Kim
    Diabetes/Metabolism Research and Reviews.2019;[Epub]     CrossRef
Obesity and Metabolic Syndrome
Utility of Serum Albumin for Predicting Incident Metabolic Syndrome According to Hyperuricemia
You-Bin Lee, Ji Eun Jun, Seung-Eun Lee, Jiyeon Ahn, Gyuri Kim, Jae Hwan Jee, Ji Cheol Bae, Sang-Man Jin, Jae Hyeon Kim
Diabetes Metab J. 2018;42(6):529-537.   Published online September 28, 2018
DOI: https://doi.org/10.4093/dmj.2018.0012
  • 4,357 View
  • 47 Download
  • 9 Web of Science
  • 10 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Serum albumin and uric acid have been positively linked to metabolic syndrome (MetS). However, the association of MetS incidence with the combination of uric acid and albumin levels has not been investigated. We explored the association of albumin and uric acid with the risk of incident MetS in populations divided according to the levels of these two parameters.

Methods

In this retrospective longitudinal study, 11,613 non-MetS participants were enrolled among 24,185 individuals who had undergone at least four annual check-ups between 2006 and 2012. The risk of incident MetS was analyzed according to four groups categorized by the sex-specific medians of serum albumin and uric acid.

Results

During 55,407 person-years of follow-up, 2,439 cases of MetS developed. The risk of incident MetS increased as the uric acid category advanced in individuals with lower or higher serum albumin categories with hazard ratios (HRs) of 1.386 (95% confidence interval [CI], 1.236 to 1.554) or 1.314 (95% CI, 1.167 to 1.480). However, the incidence of MetS increased with higher albumin levels only in participants in the lower uric acid category with a HR of 1.143 (95% CI, 1.010 to 1.294).

Conclusion

Higher levels of albumin were associated with an increased risk of incident MetS only in individuals with lower uric acid whereas higher levels of uric acid were positively linked to risk of incident MetS regardless of albumin level.

Citations

Citations to this article as recorded by  
  • Dissecting the risk factors for hyperuricemia in vegetarians in Taiwan
    Kai-Chieh Chang, Sin-Yi Huang, Wen-Hsin Tsai, Hao-Wen Liu, Jia-Sin Liu, Chia-Lin Wu, Ko-Lin Kuo
    Journal of the Chinese Medical Association.2024; 87(4): 393.     CrossRef
  • A predictive model for hyperuricemia among type 2 diabetes mellitus patients in Urumqi, China
    Palizhati Abudureyimu, Yuesheng Pang, Lirun Huang, Qianqian Luo, Xiaozheng Zhang, Yifan Xu, Liang Jiang, Patamu Mohemaiti
    BMC Public Health.2023;[Epub]     CrossRef
  • Synergistic Interaction between Hyperuricemia and Abdominal Obesity as a Risk Factor for Metabolic Syndrome Components in Korean Population
    Min Jin Lee, Ah Reum Khang, Yang Ho Kang, Mi Sook Yun, Dongwon Yi
    Diabetes & Metabolism Journal.2022; 46(5): 756.     CrossRef
  • Nutritional Biomarkers and Heart Rate Variability in Patients with Subacute Stroke
    Eo Jin Park, Seung Don Yoo
    Nutrients.2022; 14(24): 5320.     CrossRef
  • Mean and visit-to-visit variability of glycemia and left ventricular diastolic dysfunction: A longitudinal analysis of 3025 adults with serial echocardiography
    Jiyeon Ahn, Janghyun Koh, Darae Kim, Gyuri Kim, Kyu Yeon Hur, Sang Won Seo, Kyunga Kim, Jae Hyeon Kim, Jeong Hoon Yang, Sang-Man Jin
    Metabolism.2021; 116: 154451.     CrossRef
  • Can biomarkers be used to improve diagnosis and prediction of metabolic syndrome in childhood cancer survivors? A systematic review
    Vincent G. Pluimakers, Selveta S. van Santen, Marta Fiocco, Marie‐Christine E. Bakker, Aart J. van der Lelij, Marry M. van den Heuvel‐Eibrink, Sebastian J. C. M. M. Neggers
    Obesity Reviews.2021;[Epub]     CrossRef
  • Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association
    Salim S. Virani, Alvaro Alonso, Emelia J. Benjamin, Marcio S. Bittencourt, Clifton W. Callaway, April P. Carson, Alanna M. Chamberlain, Alexander R. Chang, Susan Cheng, Francesca N. Delling, Luc Djousse, Mitchell S.V. Elkind, Jane F. Ferguson, Myriam Forn
    Circulation.2020;[Epub]     CrossRef
  • Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome
    Guillermo Mena-Sánchez, Nancy Babio, Nerea Becerra-Tomás, Miguel Á. Martínez-González, Andrés Díaz-López, Dolores Corella, Maria D. Zomeño, Dora Romaguera, Jesús Vioque, Ángel M. Alonso-Gómez, Julia Wärnberg, José A. Martínez, Luís Serra-Majem, Ramon Estr
    Nutrition, Metabolism and Cardiovascular Diseases.2020; 30(2): 214.     CrossRef
  • Evaluation of serum uric acid levels in patients with rosacea
    Nermin Karaosmanoglu, Engin Karaaslan, Pınar Ozdemir Cetinkaya
    Archives of Dermatological Research.2020; 312(6): 447.     CrossRef
  • Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2019; 43(5): 727.     CrossRef
Clinical Care/Education
Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
Diabetes Metab J. 2017;41(2):99-112.   Published online March 3, 2017
DOI: https://doi.org/10.4093/dmj.2017.41.2.99
  • 4,141 View
  • 43 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

Despite the established benefits of diabetes camps for the continuing education of children with type 1 diabetes mellitus, little is known about the long-term metabolic benefits of diabetes camps for middle-aged and elderly people with type 2 diabetes mellitus (T2DM), especially in terms of glycosylated hemoglobin (HbA1c) variability.

Methods

The 1-year mean and variability of HbA1c before and after the diabetes camp was compared between the participants of the diabetes camp (n=57; median age 65 years [range, 50 to 86 years]; median diabetes duration 14 years [range, 1 to 48 years]). Additional case-control analysis compared the metabolic outcomes of the participants of the diabetes camp and their propensity score-matched controls who underwent conventional diabetes education (n=93).

Results

The levels of HbA1c during the first year after the diabetes camp were comparable to those of the matched controls (P=0.341). In an analysis of all participants of the diabetes camp, the 1-year mean±standard deviation (SD) of HbA1c decreased (P=0.010 and P=0.041) after the diabetes camp, whereas the adjusted SD and coefficient of variance (CV) of HbA1c did not decrease. The adjusted SD and CV significantly decreased after the diabetes camp in participants whose 1-year mean HbA1c was ≥6.5% before the diabetes camp (n=40) and those with a duration of diabetes less than 15 years (n=32).

Conclusion

The 1-year mean and SD of HbA1c decreased after the diabetes camp, with significant reduction in the adjusted SD and CV in those with higher baseline HbA1c and a shorter duration of diabetes.

Citations

Citations to this article as recorded by  
  • Older adults’ experiences of being at a senior summer camp—A phenomenographic study
    Veronika Wallroth, Kjerstin Larsson, Agneta Schröder
    Qualitative Social Work.2022; 21(5): 956.     CrossRef
  • Pushing for miracles, pulling away from risk: An ethnographic analysis of the force dynamics at Senior Summer Camps in Sweden
    Gabriella Nilsson, Lisa Ekstam, Janicke Andersson
    Journal of Aging Studies.2018; 47: 96.     CrossRef
Obesity and Metabolic Syndrome
Serum Calcium and the Risk of Incident Metabolic Syndrome: A 4.3-Year Retrospective Longitudinal Study
Jong Ha Baek, Sang-Man Jin, Ji Cheol Bae, Jae Hwan Jee, Tae Yang Yu, Soo Kyoung Kim, Kyu Yeon Hur, Moon-Kyu Lee, Jae Hyeon Kim
Diabetes Metab J. 2017;41(1):60-68.   Published online December 26, 2016
DOI: https://doi.org/10.4093/dmj.2017.41.1.60
  • 4,040 View
  • 32 Download
  • 9 Web of Science
  • 9 Crossref
AbstractAbstract PDFPubReader   
Background

An association between serum calcium level and risk of metabolic syndrome (MetS) has been suggested in cross-sectional studies. This study aimed to evaluate the association between baseline serum calcium level and risk of incident MetS in a longitudinal study.

Methods

We conducted a retrospective longitudinal study of 12,706 participants without MetS who participated in a health screening program, had normal range serum calcium level at baseline (mean age, 51 years), and were followed up for 4.3 years (18,925 person-years). The risk of developing MetS was analyzed according to the baseline serum calcium levels.

Results

A total of 3,448 incident cases (27.1%) of MetS developed during the follow-up period. The hazard ratio (HR) for incident MetS did not increase with increasing tertile of serum calcium level in an age- and sex-matched model (P for trend=0.915). The HRs (95% confidence interval [CI]) for incident MetS comparing the second and the third tertiles to the first tertile of baseline serum calcium level were 0.91 (95% CI, 0.84 to 0.99) and 0.85 (95% CI, 0.78 to 0.92) in a fully adjusted model, respectively (P for trend=0.001). A decreased risk of incident MetS in higher tertiles of serum calcium level was observed in subjects with central obesity and/or a metabolically unhealthy state at baseline.

Conclusion

There was no positive correlation between baseline serum calcium levels and incident risk of MetS in this longitudinal study. There was an association between higher serum calcium levels and decreased incident MetS in individuals with central obesity or two components of MetS at baseline.

Citations

Citations to this article as recorded by  
  • Independent associations of serum calcium with or without albumin adjustment and serum phosphorus with nonalcoholic fatty liver disease: results from NHANES 1999-2018
    Haolong Qi, Bin Wang, Lei Zhu
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Association of the serum calcium level with metabolic syndrome and its components among adults in Taiwan
    Jer-min Chen, Tai-yin Wu, Yi-fan Wu, Kuan-liang Kuo
    Archives of Endocrinology and Metabolism.2023;[Epub]     CrossRef
  • Elevated Chinese visceral adiposity index increases the risk of stroke in Chinese patients with metabolic syndrome
    Zeyu Liu, Qin Huang, Bi Deng, Minping Wei, Xianjing Feng, Fang Yu, Jie Feng, Yang Du, Jian Xia
    Frontiers in Endocrinology.2023;[Epub]     CrossRef
  • Metformin: Expanding the Scope of Application—Starting Earlier than Yesterday, Canceling Later
    Yulia A. Kononova, Nikolai P. Likhonosov, Alina Yu. Babenko
    International Journal of Molecular Sciences.2022; 23(4): 2363.     CrossRef
  • Metformin in prediabetes: key mechanisms for the prevention of diabetes and cardiometabolic risks
    A. Yu. Babenko
    Meditsinskiy sovet = Medical Council.2022; (10): 96.     CrossRef
  • Calcium and Phosphate Levels are Among Other Factors Associated with Metabolic Syndrome in Patients with Normal Weight


    Kamila Osadnik, Tadeusz Osadnik, Marcin Delijewski, Mateusz Lejawa, Martyna Fronczek, Rafał Reguła, Mariusz Gąsior, Natalia Pawlas
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 1281.     CrossRef
  • Association between selected trace elements and body mass index and waist circumference: A cross sectional study
    Mahnaz Zohal, Saeedeh Jam-Ashkezari, Nasim Namiranian, Amin Moosavi, Akram Ghadiri-Anari
    Diabetes & Metabolic Syndrome: Clinical Research & Reviews.2019; 13(2): 1293.     CrossRef
  • Letter: Increased Serum Angiopoietin-Like 6 Ahead of Metabolic Syndrome in a Prospective Cohort Study (Diabetes Metab J 2019;43:521-9)
    Jin Hwa Kim
    Diabetes & Metabolism Journal.2019; 43(5): 727.     CrossRef
  • Genotype effects of glucokinase regulator on lipid profiles and glycemic status are modified by circulating calcium levels: results from the Korean Genome and Epidemiology Study
    Oh Yoen Kim, So-Young Kwak, Hyunjung Lim, Min-Jeong Shin
    Nutrition Research.2018; 60: 96.     CrossRef
Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J 2015;39:247-52)
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes Metab J. 2015;39(4):350-351.   Published online August 17, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.4.350
  • 3,220 View
  • 29 Download
PDFPubReader   
Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database
Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
Diabetes Metab J. 2015;39(3):247-252.   Published online April 22, 2015
DOI: https://doi.org/10.4093/dmj.2015.39.3.247
  • 3,971 View
  • 35 Download
  • 21 Web of Science
  • 18 Crossref
AbstractAbstract PDFPubReader   
Background

We assessed the association of dipeptidyl peptidase 4 inhibitors (DPP4i) with hospitalization for heart failure (HF) using the Korean Health Insurance claims database.

Methods

We collected data on newly prescribed sitagliptin, vildagliptin, and pioglitazone between January 1, 2009 and December 31, 2012 (mean follow-up of 336.8 days) to 935,519 patients with diabetes (518,614 males and 416,905 females) aged 40 to 79 years (mean age of 59.4 years).

Results

During the study, 998 patients were hospitalized for primary HF (115.7 per 100,000 patient-years). The incidence rate of hospitalization for HF was 117.7 per 100,000 per patient-years among patients on pioglitazone, 105.7 for sitagliptin, and 135.8 for vildagliptin. The hospitalization rate for HF was greatest in the first 30 days after starting the medication, which corresponded to a significantly higher incidence at days 0 to 30 compared with days 31 to 360 for all three drugs. The hazard ratios were 1.85 (pioglitazone), 2.00 (sitagliptin), and 1.79 (vildagliptin). The incidence of hospitalization for HF did not differ between the drugs for any time period.

Conclusion

This study showed an increase in hospitalization for HF in the initial 30 days of the DPP4i and pioglitazone compared with the subsequent follow-up period. However, the differences between the drugs were not significant.

Citations

Citations to this article as recorded by  
  • Cardioprotective effects of dipeptidyl peptidase-4 inhibitors versus sulfonylureas in addition to metformin: A nationwide cohort study of patients with type 2 diabetes
    Jui Wang, Hon-Yen Wu, Kuo-Liong Chien
    Diabetes & Metabolism.2022; 48(3): 101299.     CrossRef
  • Changing Fields-Diabetes Medications Invading the Cardiovascular Space
    Lauren D. Breite, Mackenzie Steck, Brandon Tate Cutshall, Samarth P. Shah, Brandon E. Cave
    Current Problems in Cardiology.2021; 46(3): 100736.     CrossRef
  • Cardiovascular Safety and Benefits of Noninsulin Antihyperglycemic Drugs for the Treatment of Type 2 Diabetes Mellitus: Part 2
    Srikanth Yandrapalli, Aaqib Malik, Adam Horblitt, Gayatri Pemmasani, Wilbert S. Aronow, William H. Frishman
    Cardiology in Review.2020; 28(5): 219.     CrossRef
  • Effects of antidiabetic drugs on left ventricular function/dysfunction: a systematic review and network meta-analysis
    Da-Peng Zhang, Li Xu, Le-Feng Wang, Hong-Jiang Wang, Feng Jiang
    Cardiovascular Diabetology.2020;[Epub]     CrossRef
  • Dipeptidyl peptidase-4 inhibitor compared with sulfonylurea in combination with metformin: cardiovascular and renal outcomes in a propensity-matched cohort study
    Kyoung Jin Kim, Jimi Choi, Juneyoung Lee, Jae Hyun Bae, Jee Hyun An, Hee Young Kim, Hye Jin Yoo, Ji A. Seo, Nan Hee Kim, Kyung Mook Choi, Sei Hyun Baik, Sin Gon Kim, Nam Hoon Kim
    Cardiovascular Diabetology.2019;[Epub]     CrossRef
  • Comparative Cardiovascular Risks of Dipeptidyl Peptidase-4 Inhibitors: Analyses of Real-world Data in Korea
    Kyoung Hwa Ha, Bongseong Kim, Hae Sol Shin, Jinhee Lee, Hansol Choi, Hyeon Chang Kim, Dae Jung Kim
    Korean Circulation Journal.2018; 48(5): 395.     CrossRef
  • Worsening Heart Failure During the Use of DPP-4 Inhibitors
    Milton Packer
    JACC: Heart Failure.2018; 6(6): 445.     CrossRef
  • Resistance exercise improves cardiac function and mitochondrial efficiency in diabetic rat hearts
    Tae Hee Ko, Jubert C. Marquez, Hyoung Kyu Kim, Seung Hun Jeong, SungRyul Lee, Jae Boum Youm, In Sung Song, Dae Yun Seo, Hye Jin Kim, Du Nam Won, Kyoung Im Cho, Mun Gi Choi, Byoung Doo Rhee, Kyung Soo Ko, Nari Kim, Jong Chul Won, Jin Han
    Pflügers Archiv - European Journal of Physiology.2018; 470(2): 263.     CrossRef
  • Do DPP-4 Inhibitors Cause Heart Failure Events by Promoting Adrenergically Mediated Cardiotoxicity?
    Milton Packer
    Circulation Research.2018; 122(7): 928.     CrossRef
  • Comparative safety for cardiovascular outcomes of DPP-4 inhibitors versus glimepiride in patients with type 2 diabetes
    Hyouk-Jun Chin, Jin Hyun Nam, Eui-Kyung Lee, Ju-Young Shin
    Medicine.2017; 96(25): e7213.     CrossRef
  • Effects of dipeptidyl peptidase-4 inhibitor in insulin-resistant rats with myocardial infarction
    Nattayaporn Apaijai, Tharnwimol Inthachai, Suree Lekawanvijit, Siriporn C Chattipakorn, Nipon Chattipakorn
    Journal of Endocrinology.2016; 229(3): 245.     CrossRef
  • The current role of thiazolidinediones in diabetes management
    Christos V. Rizos, Anastazia Kei, Moses S. Elisaf
    Archives of Toxicology.2016; 90(8): 1861.     CrossRef
  • Alternative Interventions to Prevent Oxidative Damage following Ischemia/Reperfusion
    Simón Quetzalcoatl Rodríguez-Lara, Ernesto German Cardona-Muñoz, Ernesto Javier Ramírez-Lizardo, Sylvia Elena Totsuka-Sutto, Araceli Castillo-Romero, Teresa Arcelia García-Cobián, Leonel García-Benavides
    Oxidative Medicine and Cellular Longevity.2016; 2016: 1.     CrossRef
  • Lessons learned from cardiovascular outcome clinical trials with dipeptidyl peptidase 4 (DPP-4) inhibitors
    Teresa Vanessa Fiorentino, Giorgio Sesti
    Endocrine.2016; 53(2): 373.     CrossRef
  • Letter: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
    Dae Ho Lee
    Diabetes & Metabolism Journal.2015; 39(4): 348.     CrossRef
  • Response: Increased Risk of Hospitalization for Heart Failure with Newly Prescribed Dipeptidyl Peptidase-4 Inhibitors and Pioglitazone Using the Korean Health Insurance Claims Database (Diabetes Metab J2015;39:247-52)
    Sunghwan Suh, Gi Hyeon Seo, Chang Hee Jung, Mee-Kyoung Kim, Sang-Man Jin, You-Cheol Hwang, Byung-Wan Lee, Jae Hyeon Kim
    Diabetes & Metabolism Journal.2015; 39(4): 350.     CrossRef
  • Cardiovascular, renal and gastrointestinal effects of incretin-based therapies: an acute and 12-week randomised, double-blind, placebo-controlled, mechanistic intervention trial in type 2 diabetes
    Mark M Smits, Lennart Tonneijck, Marcel H A Muskiet, Trynke Hoekstra, Mark H H Kramer, Indra C Pieters, Djuna L Cahen, Michaela Diamant, Daniël H van Raalte
    BMJ Open.2015; 5(11): e009579.     CrossRef
  • Dipeptidyl Peptidase-4 Inhibitor Alarms: Is Heart Failure Caused by a Class Effect?
    Yong-ho Lee
    Diabetes & Metabolism Journal.2015; 39(3): 204.     CrossRef
A Randomized Controlled Trial of an Internet-Based Mentoring Program for Type 1 Diabetes Patients with Inadequate Glycemic Control
Sunghwan Suh, Cheol Jean, Mihyun Koo, Sun Young Lee, Min Ja Cho, Kang-Hee Sim, Sang-Man Jin, Ji Cheol Bae, Jae Hyeon Kim
Diabetes Metab J. 2014;38(2):134-142.   Published online April 18, 2014
DOI: https://doi.org/10.4093/dmj.2014.38.2.134
  • 4,974 View
  • 50 Download
  • 21 Web of Science
  • 20 Crossref
AbstractAbstract PDFPubReader   
Background

To determine whether an internet-based mentoring program can improve glycemic control in subjects with type 1 diabetes mellitus (T1DM).

Methods

Subjects with T1DM on intensive insulin therapy and with hemoglobin A1c (HbA1c) ≥8.0% were randomized to mentored (glucometer transmission with feedback from mentors) or control (glucometer transmission without feedback) groups and were examined for 12 weeks. Five mentors were interviewed and selected, of which two were T1DM patients themselves and three were parents with at least one child diagnosed with T1DM since more than 5 years ago.

Results

A total of 57 T1DM adult subjects with a mean duration after being diagnosed with diabetes of 7.4 years were recruited from Samsung Medical Center. Unfortunately, the mentored group failed to show significant improvements in HbA1c levels or other outcomes, including the quality of life, after completion of the study. However, the mentored group monitored their blood glucose (1.41 vs. 0.30) and logged into our website (http://ubisens.co.kr/) more frequently (20.59 times vs. 5.07 times) than the control group.

Conclusion

A 12-week internet-based mentoring program for T1DM patients with inadequate glycemic control did not prove to be superior to the usual follow-up. However, the noted increase in the subjects' frequency of blood glucose monitoring may lead to clinical benefits.

Citations

Citations to this article as recorded by  
  • The Effectiveness of Telemedicine Solutions in Type 1 Diabetes Management: A Systematic Review and Meta-analysis
    Flemming Witt Udsen, Stine Hangaard, Clara Bender, Jonas Andersen, Thomas Kronborg, Peter Vestergaard, Ole Hejlesen, Sisse Laursen
    Journal of Diabetes Science and Technology.2023; 17(3): 782.     CrossRef
  • Quality improvement strategies for diabetes care: Effects on outcomes for adults living with diabetes
    Kristin J Konnyu, Sharlini Yogasingam, Johanie Lépine, Katrina Sullivan, Mostafa Alabousi, Alun Edwards, Michael Hillmer, Sathya Karunananthan, John N Lavis, Stefanie Linklater, Braden J Manns, David Moher, Sameh Mortazhejri, Samir Nazarali, P. Alison Pap
    Cochrane Database of Systematic Reviews.2023;[Epub]     CrossRef
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Evaluation of nurse‐led social media intervention for diabetes self‐management: A mixed‐method study
    Su Hyun Kim, Younghee Kim, Sookyung Choi, Bomin Jeon
    Journal of Nursing Scholarship.2022; 54(5): 569.     CrossRef
  • ISPAD Clinical Practice Consensus Guidelines 2022: Diabetes in adolescence
    John W. Gregory, Fergus J. Cameron, Kriti Joshi, Mirjam Eiswirth, Christopher Garrett, Katharine Garvey, Shivani Agarwal, Ethel Codner
    Pediatric Diabetes.2022; 23(7): 857.     CrossRef
  • Diabetes Self-Management Education and Support to Improve Outcomes for Children and Young Adults With Type 1 Diabetes: An Umbrella Review of Systematic Reviews
    Latika Rohilla, Sukhpal Kaur, Mona Duggal, Prahbhjot Malhi, Bhavneet Bharti, Devi Dayal
    The Science of Diabetes Self-Management and Care.2021; 47(5): 332.     CrossRef
  • Smartphones and Apps to Control Glycosylated Hemoglobin (HbA1c) Level in Diabetes: A Systematic Review and Meta-Analysis
    María Begoña Martos-Cabrera, Almudena Velando-Soriano, Laura Pradas-Hernández, Nora Suleiman-Martos, Guillermo A. Cañadas-De la Fuente, Luis Albendín-García, José L. Gómez-Urquiza
    Journal of Clinical Medicine.2020; 9(3): 693.     CrossRef
  • Are We Ready to Treat Our Diabetes Patients Using Social Media? Yes, We Are
    Goran Petrovski, Marija Zivkovic
    Journal of Diabetes Science and Technology.2019; 13(2): 171.     CrossRef
  • Clinical Effectiveness of Telemedicine in Diabetes Mellitus: A Meta-Analysis of 42 Randomized Controlled Trials
    Huidi Tchero, Pauline Kangambega, Christine Briatte, Solenne Brunet-Houdard, Gerald-Reparate Retali, Emmanuel Rusch
    Telemedicine and e-Health.2019; 25(7): 569.     CrossRef
  • Distal technologies and type 1 diabetes management
    Danny C Duke, Samantha Barry, David V Wagner, Jane Speight, Pratik Choudhary, Michael A Harris
    The Lancet Diabetes & Endocrinology.2018; 6(2): 143.     CrossRef
  • Exploration of Users’ Perspectives and Needs and Design of a Type 1 Diabetes Management Mobile App: Mixed-Methods Study
    Yiyu Zhang, Xia Li, Shuoming Luo, Chaoyuan Liu, Fang Liu, Zhiguang Zhou
    JMIR mHealth and uHealth.2018; 6(9): e11400.     CrossRef
  • An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial
    Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim, Sang-Man Jin
    BMC Medical Informatics and Decision Making.2017;[Epub]     CrossRef
  • Telemedicine for the Management of Glycemic Control and Clinical Outcomes of Type 1 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Studies
    Shaun W. H. Lee, Leanne Ooi, Yin K. Lai
    Frontiers in Pharmacology.2017;[Epub]     CrossRef
  • Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials
    Da Tao, Tieyan Wang, Tieshan Wang, Shuang Liu, Xingda Qu
    Journal of the American Medical Informatics Association.2017; 24(5): 1014.     CrossRef
  • Randomized, Open-Label, Parallel Group Study to Evaluate the Effect of Internet-Based Glucose Management System on Subjects with Diabetes in China
    Hun-Sung Kim, Chenglin Sun, So Jung Yang, Lin Sun, Fei Li, In Young Choi, Jae-Hyoung Cho, Guixia Wang, Kun-Ho Yoon
    Telemedicine and e-Health.2016; 22(8): 666.     CrossRef
  • Does nutritional counseling in telemedicine improve treatment outcomes for diabetes? A systematic review and meta-analysis of results from 92 studies
    Dejun Su, Chelsea McBride, Junmin Zhou, Megan S Kelley
    Journal of Telemedicine and Telecare.2016; 22(6): 333.     CrossRef
  • Social Networking Services-Based Communicative Care for Patients with Diabetes Mellitus in Korea
    Hun-Sung Kim, Yoo Jeong, Sun Baik, So Yang, Tong Kim, Hyunah Kim, Hyunyong Lee, Seung-Hwan Lee, Jae Cho, In-Young Choi, Kun-Ho Yoon
    Applied Clinical Informatics.2016; 07(03): 899.     CrossRef
  • Does telemedicine improve treatment outcomes for diabetes? A meta-analysis of results from 55 randomized controlled trials
    Dejun Su, Junmin Zhou, Megan S. Kelley, Tzeyu L. Michaud, Mohammad Siahpush, Jungyoon Kim, Fernando Wilson, Jim P. Stimpson, José A. Pagán
    Diabetes Research and Clinical Practice.2016; 116: 136.     CrossRef
  • Adherence to Glycemic Monitoring in Diabetes
    Susana R. Patton
    Journal of Diabetes Science and Technology.2015; 9(3): 668.     CrossRef
  • Internet-Based Mentoring Program for Patients with Type 1 Diabetes
    Sun-Hye Ko, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2014; 38(2): 107.     CrossRef
Education as Prescription for Patients with Type 2 Diabetes Mellitus: Compliance and Efficacy in Clinical Practice
Mi Yeon Kim, Sunghwan Suh, Sang-Man Jin, Se Won Kim, Ji Cheol Bae, Kyu Yeon Hur, Sung Hye Kim, Mi Yong Rha, Young Yun Cho, Myung-Shik Lee, Moon Kyu Lee, Kwang-Won Kim, Jae Hyeon Kim
Diabetes Metab J. 2012;36(6):452-459.   Published online December 12, 2012
DOI: https://doi.org/10.4093/dmj.2012.36.6.452
  • 4,369 View
  • 33 Download
  • 12 Crossref
AbstractAbstract PDFPubReader   
Background

Diabetes self-management education has an important role in diabetes management. The efficacy of education has been proven in several randomized trials. However, the status of diabetes education programs in real Korean clinical practice has not yet been evaluated in terms of patient compliance with the education prescription.

Methods

We retrospectively analyzed clinical and laboratory data from all patients who were ordered to undergo diabetes education during 2009 at Samsung Medical Center, Seoul, Korea (n=2,291). After excluding ineligible subjects, 588 patients were included in the analysis.

Results

Among the 588 patients, 433 received education. The overall compliance rate was 73.6%, which was significantly higher in the subjects with a short duration or living in a rural area compared to those with a long duration (85.0% vs. 65.1%, respectively; P<0.001) or living in an urban area (78.2% vs. 70.4%, respectively; P=0.037). The hemoglobin A1c decreased greater in the compliant group (from 7.84±1.54 at baseline to 6.79±1.06 at 3 months and 6.97±1.20 at 12 months after prescription in the compliant group vs. from 7.74±1.25 to 7.14±1.02 and 7.24±1.24 in the non-compliant group; P=0.001). The decrease in hemoglobin A1c was greater in the subjects with a short duration (P=0.032).

Conclusion

In our study a large percent of patients refuse to get education despite having a prescription from their physician. This refusal rate was higher in the patients with long-standing diabetes or in urban residence. Furthermore, education was more effective in patients with a short duration of diabetes in clinical practice.

Citations

Citations to this article as recorded by  
  • Clinical Effects of a Home Care Pilot Program for Patients with Type 1 Diabetes Mellitus: A Retrospective Cohort Study
    Sejeong Lee, KyungYi Kim, Ji Eun Kim, Yura Hyun, Minyoung Lee, Myung-Il Hahm, Sang Gyu Lee, Eun Seok Kang
    Diabetes & Metabolism Journal.2023; 47(5): 693.     CrossRef
  • Management Status of Patients with Type 2 Diabetes Mellitus at General Hospitals in Korea: A 5-Year Follow-Up Study
    Jin Hee Jung, Jung Hwa Lee, Hyang Mi Jang, Young Na, Hee Sun Choi, Yeon Hee Lee, Yang Gyo Kang, Na Rae Kim, Jeong Rim Lee, Bok Rye Song, Kang Hee Sim
    The Journal of Korean Diabetes.2022; 23(1): 64.     CrossRef
  • The Effectiveness of Multidisciplinary Team-Based Education in the Management of Type 2 Diabetes
    Jong Ho Kim, Yun Jeong Nam, Won Jin Kim, Kyung Ah Lee, A Ran Baek, Jung Nam Park, Jin Mi Kim, Seo Young Oh, Eun Heui Kim, Min Jin Lee, Yun Kyung Jeon, Bo Hyun Kim, In Joo Kim, Yong Ki Kim, Sang Soo Kim
    The Journal of Korean Diabetes.2018; 19(2): 119.     CrossRef
  • The diabetes self-management educational programs and their integration in the usual care: A systematic literature review
    Emmanuel Kumah, Giulia Sciolli, Maria Laura Toraldo, Anna Maria Murante
    Health Policy.2018; 122(8): 866.     CrossRef
  • Diabetes Camp as Continuing Education for Diabetes Self-Management in Middle-Aged and Elderly People with Type 2 Diabetes Mellitus
    So Young Park, Sun Young Kim, Hye Mi Lee, Kyu Yeon Hur, Jae Hyeon Kim, Moon-Kyu Lee, Kang-Hee Sim, Sang-Man Jin
    Diabetes & Metabolism Journal.2017; 41(2): 99.     CrossRef
  • Educational attainment moderates the associations of diabetes education with health outcomes
    Su Hyun Kim
    International Journal of Nursing Practice.2016; 22(5): 444.     CrossRef
  • Experiences of Diabetes Education among Educators of Diabetes : a content analysis approach
    Soo Jin Kang, Soo Jung Chang
    Journal of Korean Public Health Nursing.2016; 30(2): 221.     CrossRef
  • Barrier Factors to the Completion of Diabetes Education in Korean Diabetic Adult Patients: Korea National Health and Nutrition Examination Surveys 2007-2012
    Hee-Tae Kim, Kiheon Lee, Se Young Jung, Seung-Min Oh, Su-Min Jeong, Yoon-Jung Choi
    Korean Journal of Family Medicine.2015; 36(5): 203.     CrossRef
  • Determinants of glycaemic control in a practice setting: the role of weight loss and treatment adherence (The DELTA Study)
    C. McAdam‐Marx, B. K. Bellows, S. Unni, J. Mukherjee, G. Wygant, U. Iloeje, J. N. Liberman, X. Ye, F. J. Bloom, D. I. Brixner
    International Journal of Clinical Practice.2014; 68(11): 1309.     CrossRef
  • Health education via mobile text messaging for glycemic control in adults with type 2 diabetes: A systematic review and meta-analysis
    Mohsen Saffari, Ghader Ghanizadeh, Harold G. Koenig
    Primary Care Diabetes.2014; 8(4): 275.     CrossRef
  • The Appropriateness of the Length of Insulin Needles Based on Determination of Skin and Subcutaneous Fat Thickness in the Abdomen and Upper Arm in Patients with Type 2 Diabetes
    Kang Hee Sim, Moon Sook Hwang, Sun Young Kim, Hye Mi Lee, Ji Yeun Chang, Moon Kyu Lee
    Diabetes & Metabolism Journal.2014; 38(2): 120.     CrossRef
  • Diabetes Attitudes, Wishes and Needs second study (DAWN2™): Cross‐national benchmarking of diabetes‐related psychosocial outcomes for people with diabetes
    A. Nicolucci, K. Kovacs Burns, R. I. G. Holt, M. Comaschi, N. Hermanns, H. Ishii, A. Kokoszka, F. Pouwer, S. E. Skovlund, H. Stuckey, I. Tarkun, M. Vallis, J. Wens, M. Peyrot
    Diabetic Medicine.2013; 30(7): 767.     CrossRef
Type 1 Diabetes
Optimal Coefficient of Variance Threshold to Minimize Hypoglycemia Risk in Individuals with Well-Controlled Type 1 Diabetes Mellitus
Jee Hee Yoo, Seung Hee Yang, Sang-Man Jin, Jae Hyeon Kim
Received March 14, 2023  Accepted August 12, 2023  Published online March 4, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0083    [Epub ahead of print]
  • 465 View
  • 19 Download
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
This study investigated the optimal coefficient of variance (%CV) for preventing hypoglycemia based on real-time continuous glucose monitoring (rt-CGM) data in people with type 1 diabetes mellitus (T1DM) already achieving their mean glucose (MG) target.
Methods
Data from 172 subjects who underwent rt-CGM for at least 90 days and for whom 439 90-day glycemic profiles were available were analyzed. Receiver operator characteristic analysis was conducted to determine the cut-off value of %CV to achieve time below range (%TBR)<54 mg/dL <1 and =0.
Results
Overall mean glycosylated hemoglobin was 6.8% and median %TBR<54 mg/dL was 0.2%. MG was significantly higher and %CV significantly lower in profiles achieving %TBR<54 mg/dL <1 compared to %TBR<54 mg/dL ≥1 (all P<0.001). The cut-off value of %CV for achieving %TBR<54 mg/dL <1 was 37.5%, 37.3%, and 31.0%, in the whole population, MG >135 mg/dL, and ≤135 mg/dL, respectively. The cut-off value for %TBR<54 mg/dL=0% was 29.2% in MG ≤135 mg/dL. In profiles with MG ≤135 mg/dL, 94.2% of profiles with a %CV <31 achieved the target of %TBR<54 mg/dL <1, and 97.3% with a %CV <29.2 achieved the target of %TBR<54 mg/ dL=0%. When MG was >135 mg/dL, 99.4% of profiles with a %CV <37.3 achieved %TBR<54 mg/dL <1.
Conclusion
In well-controlled T1DM with MG ≤135 mg/dL, we suggest a %CV <31% to achieve the %TBR<54 mg/dL <1 target. Furthermore, we suggest a %CV <29.2% to achieve the target of %TBR<54 mg/dL =0 for people at high risk of hypoglycemia.

Diabetes Metab J : Diabetes & Metabolism Journal