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Cardiovascular Risk/Epidemiology
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Association of Systolic and Diastolic Blood Pressure with the Risk of End-Stage Renal Disease in Older Type 2 Diabetes Mellitus Patients without Cardiovascular Disease: A Nationwide Population-Based Study
Sangmo Hong, Kyungdo Han, Kye-Yeung Park, Chang Beom Lee, Dong Sun Kim, Jung Hwan Park, Sung Hoon Yu
Diabetes Metab J. 2025;49(6):1308-1317.   Published online September 25, 2025
DOI: https://doi.org/10.4093/dmj.2023.0364
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  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
There is insufficient evidence to determine a precise blood pressure target in older adults with diabetes mellitus. In this study, we evaluated the potential relationship between blood pressure levels and end-stage renal disease (ESRD) in older type 2 diabetes mellitus (T2DM) patients without ESRD using a nationwide longitudinal population dataset.
Methods
We performed a retrospective, observational, cohort study including 267,156 older (≥65 years old) patients with T2DM and without ESRD from 2009 to 2018 based on the National Health Information Database. We divided the participants into eight groups based on their systolic blood pressure (SBP) and diastolic blood pressure (DBP). The primary outcome was ESRD. All outcomes were analyzed using Cox proportional hazards regression analysis while controlling for baseline covariates.
Results
During a median follow-up of 7.26 years, the incidence rate of ESRD was 2.03 per 1,000 person-years. In multivariable Cox proportional hazard modeling, the risk of the primary outcome was the lowest in groups with an SBP of 100–119 mm Hg and DBP of <80 mm Hg. In subgroup analysis according to the use of hypertension medication, there was a significant difference in DBP (P for interaction=0.026) but no difference in SBP (P for interaction=0.247). The risk of ESRD was the lowest in patients with an SBP of 110–129 mm Hg taking hypertension medication and the highest in the group with an SBP of ≥160 mm Hg.
Conclusion
Maintaining blood pressure at less than 120/80 mm Hg might prevent progression to ESRD in older T2DM patients without cardiovascular disease.

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  • Preventing End-Stage Kidney Disease in Older Adults with Type 2 Diabetes Mellitus: Optimal Blood Pressure Targets
    Jae-Seung Yun, Seung-Hyun Ko
    Diabetes & Metabolism Journal.2025; 49(6): 1198.     CrossRef
Complications
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Impact of Remnant Cholesterol on the Risk for End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort Study
Eun Roh, Ji Hye Heo, Han Na Jung, Kyung-Do Han, Jun Goo Kang, Seong Jin Lee, Sung-Hee Ihm
Diabetes Metab J. 2025;49(5):1106-1115.   Published online May 21, 2025
DOI: https://doi.org/10.4093/dmj.2024.0406
  • 2,903 View
  • 142 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Remnant cholesterol (remnant-C) has been linked to the risk of various vascular diseases, but the association between remnant-C and end-stage renal disease (ESRD) in patients with type 2 diabetes mellitus (T2DM) remains unclear.
Methods
Using a nationwide cohort, a total of 2,537,149 patients with T2DM without ESRD, who had participated in the national health screening in 2009, were enrolled and followed up until 2020. Low-density lipoprotein cholesterol (LDL-C) levels were assessed by the Martin-Hopkins method, and remnant-C was calculated as total cholesterol–LDL-C–high-density lipoprotein cholesterol.
Results
During a median follow-up period of 10.3 years, 26,246 patients with T2DM (1.03%) developed ESRD. Participants in the upper quartile of remnant-C had a higher risk of ESRD, with hazard ratios of 1.12 (95% confidence interval [CI], 1.08 to 1.17), 1.20 (95% CI, 1.15 to 1.24), and 1.33 (95% CI, 1.26 to 1.41) in the second, third, and fourth quartile, compared with the lowest quartile, in multivariable-adjusted analyses. The positive association between remnant-C and ESRD remained consistent, irrespective of age, sex, presence of pre-existing comorbidities, and use of anti-dyslipidemic medications. The increased risk of ESRD was more pronounced in high-risk subgroups, including those with hypertension, chronic kidney disease, obesity, and a longer duration of diabetes.
Conclusion
These findings suggest that remnant-C profiles in T2DM have a predictive role for future progression of ESRD, independent of traditional risk factors for renal dysfunction.

Citations

Citations to this article as recorded by  
  • Impact of Remnant Cholesterol on the Risk for End-Stage Renal Disease in Type 2 Diabetes Mellitus: A Nationwide Population-Based Cohort Study (Diabetes Metab J 2025;49:1106-15)
    Jun Hwa Hong
    Diabetes & Metabolism Journal.2026; 50(1): 190.     CrossRef
  • A Narrative Review of Remnant Cholesterol as an Independent Atherogenic Lipoprotein in Type 2 Diabetes: Pathophysiology and Clinical Implications
    Ramdhani Natsir, Eli Halimah, Ajeng Diantini, Jutti Levita
    Therapeutics and Clinical Risk Management.2026; Volume 22: 1.     CrossRef
Complications
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Risk of End-Stage Kidney Disease in Individuals with Diabetes Living Alone: A Large-Scale Population-Based Study
Kyunghun Sung, Jae-Seung Yun, Bongseong Kim, Hun-Sung Kim, Jae-Hyoung Cho, Yong-Moon Mark Park, Kyungdo Han, Seung-Hwan Lee
Diabetes Metab J. 2025;49(4):862-872.   Published online April 5, 2025
DOI: https://doi.org/10.4093/dmj.2024.0578
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  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
Background
Previous research has linked solitary living to various adverse health outcomes, but its association with diabetic complications among individuals with type 2 diabetes mellitus (T2DM) remains underexplored. We examined the risk of endstage kidney disease (ESKD) in individuals with diabetes living alone (IDLA).
Methods
This population-based cohort study used the National Health Information Database of Korea, which included 2,432,613 adults with T2DM. Household status was determined based on the number of registered family members. IDLA was defined as continuously living alone for 5 years or more. A multivariable Cox proportional hazards model was used to evaluate the association between living alone and the risk of developing ESKD.
Results
During a median follow-up of 6.0 years, 26,691 participants developed ESKD, with a higher incidence observed in the IDLA group than in the non-IDLA group. After adjusting for confounding variables, the hazard ratio for ESKD in the IDLA group was 1.10 (95% confidence interval, 1.06 to 1.14). The risk of ESKD was particularly elevated in younger individuals, those without underlying chronic kidney disease, with longer durations of living alone, and with low household income. Adherence to favorable lifestyle behaviors (no smoking, no alcohol consumption, and engaging in regular exercise) was associated with a significantly lower risk of ESKD, with a more pronounced effect in the IDLA group.
Conclusion
Living alone was associated with a higher risk of ESKD in individuals with T2DM. Tailored medical interventions and social support for IDLA are crucial for the prevention of diabetic complications.

Citations

Citations to this article as recorded by  
  • Elevated triglyceride‐glucose index is associated with increased risk of chronic kidney disease and end‐stage renal disease in type 1 diabetes: Nationwide cohort study
    Rosa Oh, Seohyun Kim, So Hyun Cho, Ji Yoon Kim, Myunghwa Jang, Sang Ho Park, You‐Bin Lee, Sang‐Man Jin, Kyu Yeon Hur, Gyuri Kim, Jae Hyeon Kim
    Diabetes, Obesity and Metabolism.2026;[Epub]     CrossRef
Complications
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Burden of End-Stage Kidney Disease by Type 2 Diabetes Mellitus Status in South Korea: A Nationwide Epidemiologic Study
Jwa-Kyung Kim, Han Na Jung, Bum Jun Kim, Boram Han, Ji Hye Huh, Eun Roh, Joo-Hee Kim, Kyung-Do Han, Jun Goo Kang
Diabetes Metab J. 2025;49(3):498-506.   Published online March 6, 2025
DOI: https://doi.org/10.4093/dmj.2024.0443
  • 3,889 View
  • 139 Download
  • 4 Web of Science
  • 1 Crossref
AbstractAbstract PDFPubReader   ePub   
Background
Patients with diabetes are known to be at high risk for end-stage kidney disease (ESKD), but the accurate annual risk data for new-onset ESKD is still limited. In South Korea, the prevalence and incidence of ESKD are increasing more rapidly compared to the global average. This study aimed to determine the incidence rate (IR) of ESKD by diabetes status from 2012 to 2022.
Methods
Using data from the Korean National Health Insurance Service, we calculated the IR and hazard ratio (HR) for newonset ESKD in the general population. Individuals were categorized based on diabetes status into nondiabetes, impaired fasting glucose (IFG), diabetes duration <5 and ≥5 years.
Results
Among the participants, 67.6% were nondiabetic, 22.3% had IFG, and 10% had diabetes. In Korea, the IRs of ESKD were 139 per million population (pmp) for nondiabetes, 188 pmp for IFG, 632 pmp for diabetes <5 years, and 3,403 pmp for diabetes ≥5 years. An advanced estimated glomerular filtration rate (eGFR) category was the strongest risk factor for ESKD development. However, even in patients with normal renal function, those with long-standing diabetes had a 14-fold higher risk of ESKD compared to nondiabetic individuals. The risk of ESKD associated with diabetes increased exponentially with declining renal function. Notably, IFG showed an increasing tendency for ESKD in younger patients (<65 years) with early-stage chronic kidney disease (CKD; eGFR ≥60 mL/min/1.73 m²).
Conclusion
Longer diabetes duration amplifies ESKD risk, particularly as renal function declines. Even in patients with normal renal function, long-standing diabetes significantly increases ESKD risk, while IFG is associated with elevated risk only in younger individuals with early-stage CKD.

Citations

Citations to this article as recorded by  
  • Development and validation of a machine learning model to predict comorbid hypertension in patients with type 2 diabetes
    Hailu Yang, Changfeng Fan, Chunyan Liu
    Frontiers in Medicine.2026;[Epub]     CrossRef
Review
Others
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Risk Prediction and Management of Chronic Kidney Disease in People Living with Type 2 Diabetes Mellitus
Ying-Guat Ooi, Tharsini Sarvanandan, Nicholas Ken Yoong Hee, Quan-Hziung Lim, Sharmila S. Paramasivam, Jeyakantha Ratnasingam, Shireene R. Vethakkan, Soo-Kun Lim, Lee-Ling Lim
Diabetes Metab J. 2024;48(2):196-207.   Published online January 26, 2024
DOI: https://doi.org/10.4093/dmj.2023.0244
  • 10,536 View
  • 664 Download
  • 7 Web of Science
  • 8 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   
People with type 2 diabetes mellitus have increased risk of chronic kidney disease and atherosclerotic cardiovascular disease. Improved care delivery and implementation of guideline-directed medical therapy have contributed to the declining incidence of atherosclerotic cardiovascular disease in high-income countries. By contrast, the global incidence of chronic kidney disease and associated mortality is either plateaued or increased, leading to escalating direct and indirect medical costs. Given limited resources, better risk stratification approaches to identify people at risk of rapid progression to end-stage kidney disease can reduce therapeutic inertia, facilitate timely interventions and identify the need for early nephrologist referral. Among people with chronic kidney disease G3a and beyond, the kidney failure risk equations (KFRE) have been externally validated and outperformed other risk prediction models. The KFRE can also guide the timing of preparation for kidney replacement therapy with improved healthcare resources planning and may prevent multiple complications and premature mortality among people with chronic kidney disease with and without type 2 diabetes mellitus. The present review summarizes the evidence of KFRE to date and call for future research to validate and evaluate its impact on cardiovascular and mortality outcomes, as well as healthcare resource utilization in multiethnic populations and different healthcare settings.

Citations

Citations to this article as recorded by  
  • Integrated SERS-magnetic capture platform for multiplex detection of early tubular injury biomarkers in diabetic kidney disease progression
    Wendi Cao, Sirui Yang, Zhenhua Zhao, Xuelin Chen, Tenglong Liu, Xinran Yang, Leshan Cai, Xiaozhe Lin, Xia Zhou, Qiaoxin Zhang
    Sensors and Actuators Reports.2026; 11: 100412.     CrossRef
  • A Machine Learning-Based Prediction Model for Diabetic Kidney Disease in Korean Patients with Type 2 Diabetes Mellitus
    Kyung Ae Lee, Jong Seung Kim, Yu Ji Kim, In Sun Goak, Heung Yong Jin, Seungyong Park, Hyejin Kang, Tae Sun Park
    Journal of Clinical Medicine.2025; 14(6): 2065.     CrossRef
  • Chronic Kidney Disease in Diabetes: A Clinical Practice Guideline
    Sheldon W. Tobe, Harpreet S. Bajaj, Navdeep Tangri, Rahul Jain, Thuy Pham, Valerie Beaudin, Phil McFarlane
    Canadian Journal of Diabetes.2025; 49(2): 73.     CrossRef
  • Kidney failure risk equation (KFRE), A risk-based triage for nephrology referrals: A mixed-methods study at pre-implementation phase among healthcare providers
    Nur Raziana Rozi, Christine Shamala Selvaraj, Jia-Kai Tan, Zhan-Foong Lim, Noor Wahidah Nordin, Nuqman Hakimi Mazhar, Haris Hafizal, Hooi-Chin Beh, Quan-Hziung Lim, Ying-Guat Ooi, Adina Abdullah, Wan Ahmad Hafiz Wan Md Adnan, Pavai Sthaneswar, Soo-Kun Lim
    Primary Care Diabetes.2025; 19(6): 636.     CrossRef
  • Construction and validation of a clinical prediction model for diabetic ketoacidosis
    Chen Xu, Xingwen Jiang, Quanan He, Peng Xu
    Frontiers in Medicine.2025;[Epub]     CrossRef
  • External validation, recalibration, and clinical utility of the kidney failure risk equation in patients with advanced CKD: a nationwide retrospective cohort analysis in Peru
    Jessica Ivonne Bravo-Zúñiga, Percy Soto-Becerra, Edgar Juan Coila-Paricahua, Ricardo Chávez-Gómez, Eduardo Pérez-Tejada, Anselma Victoria Pardo-Villafranca, Lizbeth Carmen Arce-Gallo, Daysi Diaz-Obregón
    BMC Nephrology.2025;[Epub]     CrossRef
  • Reprint of: Chronic Kidney Disease in Diabetes: A Clinical Practice Guideline
    Sheldon W. Tobe, Harpreet S. Bajaj, Navdeep Tangri, Rahul Jain, Thuy Pham, Valerie Beaudin, Phil McFarlane
    Canadian Journal of Diabetes.2025; 49: 7.     CrossRef
  • Prevalence of diabetes and its associated factors in Cape Verde: an analysis of the 2020 WHO STEPS survey on non-communicable diseases risk factors
    Joshua Okyere, Castro Ayebeng, Kwamena Sekyi Dickson
    BMC Endocrine Disorders.2024;[Epub]     CrossRef
Brief Report
Drug/Regimen
Evogliptin, a Dipeptidyl Peptidase-4 Inhibitor, Attenuates Renal Fibrosis Caused by Unilateral Ureteral Obstruction in Mice
Mi-Jin Kim, Na-young Kim, Yun-A Jung, Seunghyeong Lee, Gwon-Soo Jung, Jung-Guk Kim, In-Kyu Lee, Sungwoo Lee, Yeon-Kyung Choi, Keun-Gyu Park
Diabetes Metab J. 2020;44(1):186-192.   Published online October 31, 2019
DOI: https://doi.org/10.4093/dmj.2018.0271
  • 9,120 View
  • 127 Download
  • 13 Web of Science
  • 13 Crossref
AbstractAbstract PDFSupplementary MaterialPubReader   ePub   

Renal fibrosis is considered to be the final common outcome of chronic kidney disease. Dipeptidyl peptidase-4 (DPP-4) inhibitors have demonstrated protective effects against diabetic kidney disease. However, the anti-fibrotic effect of evogliptin, a DPP-4 inhibitor, has not been studied. Here, we report the beneficial effects of evogliptin on unilateral ureteral obstruction (UUO)-induced renal fibrosis in mice. Evogliptin attenuated UUO-induced renal atrophy and tubulointerstitial fibrosis. Immunohistochemistry and Western blotting demonstrated that evogliptin treatment inhibits pro-fibrotic gene expressions and extracellular matrix production. In vitro findings showed that the beneficial effects of evogliptin on renal fibrosis are mediated by inhibition of the transforming growth factor-β/Smad3 signaling pathway. The present study demonstrates that evogliptin is protective against UUO-induced renal fibrosis, suggesting that its clinical applications could extend to the treatment of kidney disease of non-diabetic origin.

Citations

Citations to this article as recorded by  
  • Combined Treatment with Evogliptin and Temozolomide Alters miRNA Expression but Shows Limited Additive Effect on Glioma
    Seung Yoon Song, Keun Soo Lee, Jung Eun Lee, Juwon Ahn, Jaejoon Lim, Seung Ho Yang
    International Journal of Molecular Sciences.2025; 26(19): 9508.     CrossRef
  • Gemigliptin Alleviates Succinate Induced Endoplasmic Reticulum Stress and Activation of Hepatic Stellate Cells
    Dinh-Vinh Do, Giang Nguyen, So Young Park, Eun-Hee Cho
    Journal of Korean Medical Science.2025;[Epub]     CrossRef
  • Design, Optimization, and Biological Evaluation of First-in-Class Triple Inhibitors of SGLT1, SGLT2, and DPP4 for Type 2 Diabetes Mellitus
    Fernando de Souza Gama, Marcos Ferreira, Natanael Dante Segretti, Mariana C. F. C. B. Damião, Cristiano R. W. Guimarães, Alessandra Mascarello, Hatylas Azevedo
    Journal of Medicinal Chemistry.2025; 68(24): 26121.     CrossRef
  • Targeting cluster of differentiation 26 / dipeptidyl peptidase 4 (CD26/DPP4) in organ fibrosis
    Birte Ohm, Isabelle Moneke, Wolfgang Jungraithmayr
    British Journal of Pharmacology.2023; 180(22): 2846.     CrossRef
  • Linagliptin ameliorates pulmonary fibrosis in systemic sclerosis mouse model via inhibition of endothelial-to-mesenchymal transition
    Biwei Pei, Na Zhang, Tingting Pang, Gengyun Sun
    Molecular and Cellular Biochemistry.2022; 477(4): 995.     CrossRef
  • Association Between DPP4 Inhibitor Use and the Incidence of Cirrhosis, ESRD, and Some Cancers in Patients With Diabetes
    Yewon Na, Soo Wan Kim, Ie Byung Park, Soo Jung Choi, Seungyoon Nam, Jaehun Jung, Dae Ho Lee
    The Journal of Clinical Endocrinology & Metabolism.2022; 107(11): 3022.     CrossRef
  • Evogliptin Directly Inhibits Inflammatory and Fibrotic Signaling in Isolated Liver Cells
    Hye-Young Seo, So-Hee Lee, Eugene Han, Jae Seok Hwang, Sol Han, Mi Kyung Kim, Byoung Kuk Jang
    International Journal of Molecular Sciences.2022; 23(19): 11636.     CrossRef
  • Optimization and validation of a fluorogenic dipeptidyl peptidase 4 enzymatic assay in human plasma
    Hyunyee Yoon, Su Hee Cho, Yu Rim Seo, Kyung-Sang Yu, Sung Sup Park, Moon Jung Song
    Analytical Biochemistry.2021; 612: 113952.     CrossRef
  • Use of Anti-Diabetic Agents in Non-Diabetic Kidney Disease: From Bench to Bedside
    Sungjin Chung, Gheun-Ho Kim
    Life.2021; 11(5): 389.     CrossRef
  • Targeting Dermal Fibroblast Subtypes in Antifibrotic Therapy: Surface Marker as a Cellular Identity or a Functional Entity?
    Xin Huang, Yimin Khoong, Chengyao Han, Dai Su, Hao Ma, Shuchen Gu, Qingfeng Li, Tao Zan
    Frontiers in Physiology.2021;[Epub]     CrossRef
  • Efficacy and safety of evogliptin treatment in patients with type 2 diabetes: A multicentre, active‐controlled, randomized, double‐blind study with open‐label extension (the EVERGREEN study)
    Gyuri Kim, Soo Lim, Hyuk‐Sang Kwon, Ie B. Park, Kyu J. Ahn, Cheol‐Young Park, Su K. Kwon, Hye S. Kim, Seok W. Park, Sin G. Kim, Min K. Moon, Eun S. Kim, Choon H. Chung, Kang S. Park, Mikyung Kim, Dong J. Chung, Chang B. Lee, Tae H. Kim, Moon‐Kyu Lee
    Diabetes, Obesity and Metabolism.2020; 22(9): 1527.     CrossRef
  • Effect of Switching from Linagliptin to Teneligliptin Dipeptidyl Peptidase-4 Inhibitors in Older Patients with Type 2 Diabetes Mellitus


    Eugene Han, Minyoung Lee, Yong-ho Lee, Hye Soon Kim, Byung-wan Lee, Bong-Soo Cha, Eun Seok Kang
    Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy.2020; Volume 13: 4113.     CrossRef
  • Efficacy and safety of novel dipeptidyl-peptidase-4 inhibitor evogliptin in the management of type 2 diabetes mellitus: A meta-analysis
    Deep Dutta, Saptarshi Bhattacharya, Aishwarya Krishnamurthy, LokeshKumar Sharma, Meha Sharma
    Indian Journal of Endocrinology and Metabolism.2020; 24(5): 434.     CrossRef

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