Skip Navigation
Skip to contents

Diabetes Metab J : Diabetes & Metabolism Journal

Search
OPEN ACCESS

Search

Page Path
HOME > Search
7 "Kyung Do Han"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Articles
Metabolic Risk/Epidemiology
2023 Diabetic Kidney Disease Fact Sheet in Korea
Nam Hoon Kim, Mi-Hae Seo, Jin Hyung Jung, Kyung Do Han, Mi Kyung Kim, Nan Hee Kim, on Behalf of Diabetic Kidney Disease Research Group of the Korean Diabetes Association
Received July 30, 2023  Accepted January 26, 2024  Published online March 19, 2024  
DOI: https://doi.org/10.4093/dmj.2023.0310    [Epub ahead of print]
  • 956 View
  • 66 Download
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To investigate the prevalence, incidence, comorbidities, and management status of diabetic kidney disease (DKD) and diabetes-related end-stage kidney disease (ESKD) in South Korea.
Methods
We used the Korea National Health and Nutrition Examination Survey data (2019 to 2021, n=2,665) for the evaluation of prevalence, comorbidities, control rate of glycemia and comorbidities in DKD, and the Korean Health Insurance Service-customized database (2008 to 2019, n=3,950,857) for the evaluation of trends in the incidence and prevalence rate of diabetes-related ESKD, renin-angiotensin system (RAS) blockers and sodium glucose cotransporter 2 (SGLT2) inhibitors use for DKD, and the risk of atherosclerotic cardiovascular disease (ASCVD) and mortality according to DKD stages. DKD was defined as albuminuria or low estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m2 in patients with diabetes mellitus.
Results
The prevalence of DKD was 25.4% (albuminuria, 22.0%; low eGFR, 6.73%) in patients with diabetes mellitus aged ≥30 years. Patients with DKD had a higher rate of comorbidities, including hypertension, dyslipidemia, and central obesity; however, their control rates were lower than those without DKD. Prescription rate of SGLT2 inhibitors with reduced eGFR increased steadily, reaching 5.94% in 2019. Approximately 70% of DKD patients were treated with RAS blockers. The prevalence rate of diabetesrelated ESKD has been steadily increasing, with a higher rate in older adults. ASCVD and mortality were significantly associated with an in increase in DKD stage.
Conclusion
DKD is prevalent among Korean patients with diabetes and is an independent risk factor for cardiovascular morbidity and mortality, which requiring intensive management of diabetes and comorbidities. The prevalence of diabetes-related ESKD has been increasing, especially in the older adults, during past decade.

Citations

Citations to this article as recorded by  
  • Endothelial NOX5 Obliterates the Reno-Protective Effect of Nox4 Deletion by Promoting Renal Fibrosis via Activation of EMT and ROS-Sensitive Pathways in Diabetes
    Karin A. M. Jandeleit-Dahm, Haritha R. Kankanamalage, Aozhi Dai, Jaroslawna Meister, Sara Lopez-Trevino, Mark E. Cooper, Rhian M. Touyz, Christopher R. J. Kennedy, Jay C. Jha
    Antioxidants.2024; 13(4): 396.     CrossRef
Guideline/Fact Sheet
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 Metab J. 2023;47(5):643-652.   Published online August 7, 2023
DOI: https://doi.org/10.4093/dmj.2023.0041
  • 2,471 View
  • 220 Download
  • 2 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated the prevalence and management of diabetes mellitus (DM) in elderly Korean patients based on data from the Korea National Health and Nutrition Examination Survey (KNHANES).
Methods
A total of 3,068 adults aged 65 years and older (19.8% of total population) were analyzed using KNHANES from 2019 to 2020. Prevalence, awareness, treatment, and control rates, and comorbidities were analyzed. Lifestyle behaviors and energy intake were also measured.
Results
The prevalence of DM and prediabetes was 29.6% and 50.5%, respectively. The awareness, treatment and control rates were 76.4%, 73.3%, and 28.3%, respectively. The control rate was 77.0% if A1C <7.5% criteria was used. The mean A1C value of individuals with known DM was 7.1%, and 14.5% of the known DM patients had A1C ≥8.0%. Abdominal obesity, hypertension, and hypercholesterolemia were combined with DM in 63.9%, 71.7%, and 70.7%, respectively, and the rate of integrated management was 36.0% (A1C <7.5% criteria). A total of 40.1% of those with DM walked regularly. The percentage of energy intake from carbohydrates was higher in those with DM than in those without DM (P=0.044), while those of fat (P=0.003) and protein (P=0.025) were lower in those with DM than in those without DM in women.
Conclusion
In 2019 to 2020, three of 10 adults aged 65 years and older in Korea had DM, and approximately 70% of them had comorbidities. A strategy for more individualized comprehensive care for the elderly patients with DM is urgently needed.

Citations

Citations to this article as recorded by  
  • Association Between High Blood Folate Levels and Glaucoma in a Representative Korean Population
    Ji Young Lee, Jin A. Choi, Sung Pyo Park, Donghyun Jee
    Investigative Opthalmology & Visual Science.2024; 65(1): 6.     CrossRef
  • The Growing Challenge of Diabetes Management in an Aging Society
    Seung-Hwan Lee
    Diabetes & Metabolism Journal.2023; 47(5): 630.     CrossRef
Guideline/Fact Sheet
Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey
Jong Ha Baek, Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko
Diabetes Metab J. 2023;47(2):201-210.   Published online February 8, 2023
DOI: https://doi.org/10.4093/dmj.2022.0375
  • 3,424 View
  • 219 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
We evaluated the validity and reliability of the operational definition of type 2 diabetes mellitus (T2DM) based on the Korean National Health Insurance Service (NHIS) database.
Methods
Adult subjects (≥40 years old) included in the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2017 were merged with those from the NHIS health check-up database, producing a cross-sectional dataset. We evaluated the sensitivity, specificity, accuracy, and agreement of the NHIS criteria for defining T2DM by comparing them with the KNHANES criteria as a standard reference.
Results
In the study population (n=13,006), two algorithms were devised to determine from the NHIS dataset whether the diagnostic claim codes for T2DM were accompanied by prescription codes for anti-diabetic drugs (algorithm 1) or not (algorithm 2). Using these algorithms, the prevalence of T2DM was 14.9% (n=1,942; algorithm 1) and 20.8% (n=2,707; algorithm 2). Good reliability in defining T2DM was observed for both algorithms (Kappa index, 0.73 [algorithm 1], 0.63 [algorithm 2]). However, the accuracy (0.93 vs. 0.89) and specificity (0.96 vs. 0.90) tended to be higher for algorithm 1 than for algorithm 2. The validity (accuracy, ranging from 0.91 to 0.95) and reliability (Kappa index, ranging from 0.68 to 0.78) of defining T2DM by NHIS criteria were independent of age, sex, socioeconomic status, and accompanied hypertension or dyslipidemia.
Conclusion
The operational definition of T2DM based on population-based NHIS claims data, including diagnostic codes and prescription codes, could be a valid tool to identify individuals with T2DM in the Korean population.

Citations

Citations to this article as recorded by  
  • Metabolic dysfunction-associated fatty liver disease increases the risk of type 2 diabetes mellitus in young Korean adults
    Junchul Ha, Oak-Kee Hong, Kyungdo Han, Hyuk-Sang Kwon
    Diabetes Research and Clinical Practice.2024; 212: 111584.     CrossRef
  • Gamma‐glutamyl transferase and the risk of all‐cause and disease‐specific mortality in patients with diabetes: A nationwide cohort study
    Goh Eun Chung, Su‐Min Jeong, Su Jong Yu, Jeong‐Ju Yoo, Yuri Cho, Kyu‐na Lee, Dong Wook Shin, Yoon Jun Kim, Jung‐Hwan Yoon, Kyungdo Han, Eun Ju Cho
    Journal of Diabetes.2024;[Epub]     CrossRef
  • Risk of Cause-Specific Mortality across Glucose Spectrum in Elderly People: A Nationwide Population-Based Cohort Study
    Joonyub Lee, Hun-Sung Kim, Kee-Ho Song, Soon Jib Yoo, Kyungdo Han, Seung-Hwan Lee
    Endocrinology and Metabolism.2023; 38(5): 525.     CrossRef
Drug/Regimen
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, Committee of Clinical Practice Guidelines, Korean Diabetes Association
Diabetes Metab J. 2022;46(5):701-712.   Published online June 3, 2022
DOI: https://doi.org/10.4093/dmj.2022.0002
  • 5,083 View
  • 320 Download
  • 6 Web of Science
  • 8 Crossref
Graphical AbstractGraphical Abstract AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
To evaluate prescription trends and clinical factors of the sodium-glucose cotransporter 2 inhibitors (SGLT2i) use according to the presence of atherosclerotic cardiovascular disease (ASCVD) or heart failure (HF) in Korean patients with type 2 diabetes mellitus (T2DM).
Methods
Prescription patterns of SGLT2i use between 2015 and 2019 were determined using the Korean National Health Insurance Service database of claims.
Results
Of all patients with T2DM (n=4,736,493), the annual prescription rate of SGLT2i increased every year in patients with ASCVD (from 2.2% to 10.7%) or HF (from 2.0% to 11.1%). After the first hospitalization for ASCVD (n=518,572), 13.7% (n=71,259) of patients initiated SGLT2i with a median of 10.6 months. After hospitalization for HF (n=372,853), 11.2% (n=41,717) of patients initiated SGLT2i after a median of 8.8 months. In multivariate regression for hospitalization, older age (per 10 years, odds ratio [OR], 0.57; 95% confidence interval [CI], 0.56 to 0.57), lower household income (OR, 0.93; 95% CI, 0.92 to 0.95), rural residents (OR, 0.95; 95% CI, 0.93 to 0.97), and dipeptidyl peptidase-4 inhibitor (DPP-4i) users (OR, 0.82; 95% CI, 0.81 to 0.84) were associated with lesser initiation of SGLT2i in ASCVD. Additionally, female gender (OR, 0.97; 95% CI, 0.95 to 0.99) was associated with lesser initiation of SGLT2i in HF.
Conclusion
The prescription rate of SGLT2i increased gradually up to 2019 but was suboptimal in patients with ASCVD or HF. After the first hospitalization for ASCVD or HF, older age, female gender, low household income, rural residents, and DPP-4i users were less likely to initiate SGLT2i.

Citations

Citations to this article as recorded by  
  • Effectiveness and safety of sodium–glucose cotransporter 2 inhibitors in Asian populations
    Kyoung Hwa Ha, Dae Jung Kim
    Journal of Diabetes Investigation.2024; 15(3): 285.     CrossRef
  • Real-World Treatment Patterns according to Clinical Practice Guidelines in Patients with Type 2 Diabetes Mellitus and Established Cardiovascular Disease in Korea: Multicenter, Retrospective, Observational Study
    Ye Seul Yang, Nam Hoon Kim, Jong Ha Baek, Seung-Hyun Ko, Jang Won Son, Seung-Hwan Lee, Sang Youl Rhee, Soo-Kyung Kim, Tae Seo Sohn, Ji Eun Jun, In-Kyung Jeong, Chong Hwa Kim, Keeho Song, Eun-Jung Rhee, Junghyun Noh, Kyu Yeon Hur
    Diabetes & Metabolism Journal.2024; 48(2): 279.     CrossRef
  • Hospital Readmissions for Fluid Overload among Individuals with Diabetes and Diabetic Kidney Disease: Risk Factors and Multivariable Prediction Models
    Jiashen Cai, Dorothy Huang, Hanis Binte Abdul Kadir, Zhihua Huang, Li Choo Ng, Andrew Ang, Ngiap Chuan Tan, Yong Mong Bee, Wei Yi Tay, Chieh Suai Tan, Cynthia C. Lim
    Nephron.2024; : 1.     CrossRef
  • Prescribing patterns of SGLT-2 inhibitors for patients with heart failure: A two-center analysis
    Teja Chakrala, Roshni O. Prakash, Justin Kim, Hanzhi Gao, Umar Ghaffar, Jaymin Patel, Alex Parker, Bhagwan Dass
    American Heart Journal Plus: Cardiology Research and Practice.2023; 28: 100286.     CrossRef
  • Risk of developing chronic kidney disease in young-onset Type 2 diabetes in Korea
    Joonyub Lee, Seung-Hwan Lee, Kun-Ho Yoon, Jae Hyoung Cho, Kyungdo Han, Yeoree Yang
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of SGLT2 inhibitors with DPP-4 inhibitors combined with metformin in patients with acute myocardial infarction and diabetes mellitus
    Young Sang Lyu, Seok Oh, Jin Hwa Kim, Sang Yong Kim, Myung Ho Jeong
    Cardiovascular Diabetology.2023;[Epub]     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
  • Association between the Diabetes Drug Cost and Cardiovascular Events and Death in Korea: A National Health Insurance Service Database Analysis
    Seung Min Chung, Ji-In Lee, Eugene Han, Hyun-Ae Seo, Eonju Jeon, Hye Soon Kim, Ji Sung Yoon
    Endocrinology and Metabolism.2022; 37(5): 759.     CrossRef
Corrigendum
Associations among Obesity Degree, Glycemic Status, and Risk of Heart Failure in 9,720,220 Korean Adults
Eun Jung Rhee, Hyemi Kwon, Se Eun Park, Kyung Do Han, Yong Gyu Park, Yang Hyun Kim, Won Young Lee
Diabetes Metab J. 2020;44(5):783-783.   Published online October 21, 2020
DOI: https://doi.org/10.4093/dmj.2020.0245
Corrects: Diabetes Metab J 2020;44(4):592
  • 3,996 View
  • 94 Download
PDFPubReader   ePub   
Original Articles
Epidemiology
Impact of Cytomegalovirus Disease on New-Onset Type 2 Diabetes Mellitus: Population-Based Matched Case-Control Cohort Study
Seul Gi Yoo, Kyung Do Han, Kyoung Hwa Lee, Yeonju La, Da Eun Kwon, Sang Hoon Han
Diabetes Metab J. 2019;43(6):815-829.   Published online January 21, 2019
DOI: https://doi.org/10.4093/dmj.2018.0167
  • 5,080 View
  • 76 Download
  • 17 Web of Science
  • 18 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   
Background

A latent cytomegalovirus (CMV) cause chronic inflammation through undesirable inflation of cell-mediated immune response. CMV immunoglobulin G has been associated with cardiovascular disease and type 1 diabetes mellitus. We evaluated impact of CMV diseases on new-onset type 2 diabetes mellitus (T2DM).

Methods

From the Korean Health Insurance Review and Assessment Service claim database of entire population with 50 million, we retrieved 576 adult case group with CMV diseases diagnosed with International Statistical Classification of Diseases and Related-Health Problems 10th Revision (ICD-10) B25 code between 2010 and 2014 after exclusion of patients with T2DM to 2006. The 2,880 control patients without T2DM from 2006 to cohort entry point were selected between 2010 and 2014 by age, sex matching with case group. The subjects without new-onset T2DM were followed until 2015. T2DM, hypertension (HTN), dyslipidemia (DYS), and end-stage renal disease (ESRD) were coded as ICD-10.

Results

The frequency of new-onset T2DM in case group was significantly higher than that in control (5.6% vs. 2.2%, P<0.001). The group with T2DM (n=95) had higher incidence of CMV diseases than the group without T2DM (n=3,361) (33.7% vs. 16.2%, P<0.001). In multivariate regression model adjusted by age, sex, lower income, HTN, and DYS, the incidence rate (IR) of T2DM in case group was significantly higher than that in the control group (IR per 1,000, 19.0 vs. 7.3; odds ratio, 2.1; 95% confidence interval, 1.3 to 3.2). The co-existence of HTN, DYS, and ESRD with CMV diseases did not influence the IR of T2DM.

Conclusion

CMV diseases increase the patients' risk of developing T2DM.

Citations

Citations to this article as recorded by  
  • An analysis of risk factors for spontaneously occurring type 2 diabetes mellitus in rhesus macaques (Macaca mulatta)
    John P. Capitanio, Laura A. Del Rosso, JoAnn Yee, Marie‐Josee Marie‐France Lemoy
    Journal of Medical Primatology.2024;[Epub]     CrossRef
  • Virus-induced diabetes mellitus: revisiting infection etiology in light of SARS-CoV-2
    Sundararaj Stanleyraj Jeremiah, Abu Saleh Md Moin, Alexandra E. Butler
    Metabolism.2024; 156: 155917.     CrossRef
  • Is Pollution the Primary Driver of Infectious Syndemics?
    Merrill Singer
    Pathogens.2024; 13(5): 370.     CrossRef
  • Connecting the Dots: How Herpes Viruses Influence Type 2 Diabetes: Insights from Experimental Researches
    Ushna Zameer, Eisha Saqib, Muhammad Salman Munshi, Samia Rohail
    Clinical Medicine Insights: Endocrinology and Diabetes.2024;[Epub]     CrossRef
  • Infections and immunity: associations with obesity and related metabolic disorders
    Amitabha Ray, Melissa J. L. Bonorden, Rajashree Pandit, Katai J. Nkhata, Anupam Bishayee
    Journal of Pathology and Translational Medicine.2023; 57(1): 28.     CrossRef
  • The effects of cytomegalovirus on brain structure following sport-related concussion
    Jonathan Savitz, Bryna D Goeckner, Bart N Ford, T Kent Teague, Haixia Zheng, Jaroslaw Harezlak, Rebekah Mannix, L Tugan Muftuler, Benjamin L Brett, Michael A McCrea, Timothy B Meier
    Brain.2023; 146(10): 4262.     CrossRef
  • Does COVID-19 Infection Increase the Risk of Diabetes? Current Evidence
    Rachel Wong, Emily Lam, Carolyn T. Bramante, Steven G. Johnson, Jane Reusch, Kenneth J. Wilkins, Hsin-Chieh Yeh
    Current Diabetes Reports.2023; 23(8): 207.     CrossRef
  • Epidemiological changes in cytomegalovirus end-organ diseases in a developed country: A nationwide, general-population-based study
    Seul Gi Yoo, Kyung Do Han, Kyoung Hwa Lee, Joohee Lim, Yeonju La, Da Eun Kwon, Sang Hoon Han
    Journal of Microbiology, Immunology and Infection.2022; 55(5): 812.     CrossRef
  • Human MicroRNAs Attenuate the Expression of Immediate Early Proteins and HCMV Replication during Lytic and Latent Infection in Connection with Enhancement of Phosphorylated RelA/p65 (Serine 536) That Binds to MIEP
    Yeon-Mi Hong, Seo Yeon Min, Dayeong Kim, Subin Kim, Daekwan Seo, Kyoung Hwa Lee, Sang Hoon Han
    International Journal of Molecular Sciences.2022; 23(5): 2769.     CrossRef
  • Burden and disease pathogenesis of influenza and other respiratory viruses in diabetic patients
    Swapna Thomas, Allal Ouhtit, Hebah A. Al Khatib, Ali H. Eid, Shilu Mathew, Gheyath K. Nasrallah, Mohamed M. Emara, Muna A. Al Maslamani, Hadi M. Yassine
    Journal of Infection and Public Health.2022; 15(4): 412.     CrossRef
  • Health impact of seven herpesviruses on (pre)diabetes incidence and HbA1c: results from the KORA cohort
    Tim Woelfle, Birgit Linkohr, Tim Waterboer, Barbara Thorand, Jochen Seissler, Marc Chadeau-Hyam, Annette Peters
    Diabetologia.2022; 65(8): 1328.     CrossRef
  • Association of pyogenic spondylitis with congestive heart failure in Korea: a nationwide longitudinal cohort study
    Chong Jin Park, Seung Hun Sheen, Jeong Gyun Kim, Hakyung Kim, Yeo Song Kim, In-bo Han, Je Beom Hong, Chun Kee Chung, Seil Sohn
    Journal of Korean Society of Geriatric Neurosurgery.2022; 18(1): 8.     CrossRef
  • The Role of CMV Infection in Primary Lesions, Development and Clinical Expression of Atherosclerosis
    Carmen Valentina Cristescu, Sophie Alain, Simona Maria Ruță
    Journal of Clinical Medicine.2022; 11(13): 3832.     CrossRef
  • Type 2 diabetes and viral infection; cause and effect of disease
    Tamara Turk Wensveen, Dora Gašparini, Dario Rahelić, Felix M. Wensveen
    Diabetes Research and Clinical Practice.2021; 172: 108637.     CrossRef
  • Cytomegalovirus Disease, Short-Term Cardiovascular Events and Graft Survival in a Cohort of Kidney Transplant Recipients With High CMV IgG Seroprevalence
    James S. Díaz, Fabián A. Jaimes
    Progress in Transplantation.2021; 31(2): 126.     CrossRef
  • Prevalence of carbohydrate metabolism disorders in patients with new coronavirus infection
    T. N. Markova, M. A. Lysenko, A. A. Ivanova, E. S. Pavlova, A. A. Ponomareva, V. V. Chibisova, T. K. Isaev, D. O. Sinyavkin, A. M. Mkrtumyan
    Diabetes mellitus.2021; 24(3): 222.     CrossRef
  • Immunological Mechanisms of Sickness Behavior in Viral Infection
    Mia Krapić, Inga Kavazović, Felix M. Wensveen
    Viruses.2021; 13(11): 2245.     CrossRef
  • Association between cytomegalovirus end-organ diseases and moderate-to-severe dementia: a population-based cohort study
    Kyoung Hwa Lee, Da Eun Kwon, Kyung Do Han, Yeonju La, Sang Hoon Han
    BMC Neurology.2020;[Epub]     CrossRef
Complications
The Association between Pancreatic Steatosis and Diabetic Retinopathy in Type 2 Diabetes Mellitus Patients
Jee Sun Jeong, Mee Kyung Kim, Kyung Do Han, Oak Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Dong Jin Chung, Jung-Min Lee, Hyuk-Sang Kwon
Diabetes Metab J. 2018;42(5):425-432.   Published online August 9, 2018
DOI: https://doi.org/10.4093/dmj.2017.0107
  • 4,171 View
  • 43 Download
  • 5 Web of Science
  • 4 Crossref
AbstractAbstract PDFPubReader   
Background

Whether pancreatic steatosis has a local or systemic effect, like ectopic fat of other major organs, remains unknown. Data on the influence of pancreatic steatosis on microvascular complication are rare. Therefore, we investigated the relationship between pancreatic steatosis and diabetic retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods

The attenuation of three pancreatic regions (head, body, and tail) and the spleen (S) in 186 patients with T2DM was measured using non-enhanced computed tomography imaging. We used three parameters for the assessment of pancreatic steatosis (‘P’ mean: mean attenuation of three pancreatic regions; P–S: difference between ‘P’ mean and ‘S’; P/S: the ‘P’ mean to ‘S’ ratio). The presence of DR was assessed by an expert ophthalmologist using dilated fundoscopy.

Results

The average P mean was 29.02 Hounsfield units (HU), P–S was −18.20 HU, and P/S was 0.61. The three pancreatic steatosis parameters were significantly associated with the prevalence of DR in non-obese T2DM patients. In the non-obese group, the odds ratios of P mean, P–S, and P/S for the prevalence of DR, after adjustment for age, sex, and glycosylated hemoglobin level, were 2.449 (P=0.07), 2.639 (P=0.04), and 2.043 (P=0.02), respectively.

Conclusion

In this study, pancreatic steatosis was significantly associated with DR in non-obese patients with T2DM. Further studies are necessary to clarify the causal relationship between pancreatic steatosis and the development of DR.

Citations

Citations to this article as recorded by  
  • Intra‐pancreatic fat is associated with continuous glucose monitoring metrics
    Yutong Liu, Wandia Kimita, Xiatiguli Shamaitijiang, Loren Skudder‐Hill, Ivana R. Sequeira‐Bisson, Maxim S. Petrov
    Diabetes, Obesity and Metabolism.2024; 26(6): 2359.     CrossRef
  • Association between Intrapancreatic Fat Deposition and Lower High-Density Lipoprotein Cholesterol in Individuals with Newly Diagnosed T2DM
    Jianliang Wang, Qingyun Cai, Xiaojuan Wu, Jiaxuan Wang, Xiaona Chang, Xiaoyu Ding, Jia Liu, Guang Wang, Muhittin Yurekli
    International Journal of Endocrinology.2023; 2023: 1.     CrossRef
  • The comparison of pancreatic and hepatic steatosis in healthy liver donor candidates
    Bedriye Koyuncu Sokmen, Tolga Sahin, Alihan Oral, Erdem Kocak, Nagihan Inan
    Scientific Reports.2021;[Epub]     CrossRef
  • Computed Tomography-Estimated Pancreatic Steatosis is Associated with Carotid Plaque in Type 2 Diabetes Mellitus Patients: A Cross-Sectional Study from China
    Pengtao Sun, Chunzhi Fan, Rengui Wang, Tongwei Chu, Xiaoli Sun, Dongxue Zhang, Xuechao Du
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2021; Volume 14: 1329.     CrossRef

Diabetes Metab J : Diabetes & Metabolism Journal