Endocrinology and Metabolism

Original Articles

A Nomogram for End-Stage Renal Disease Prediction in Patients with Type 2 Diabetes Mellitus: A Nationwide Cohort Study in Korea: Inha Jung, Bong-Seong Kim, So Young Park, Da Young Lee, Ji Hee Yu, Ji A Seo, Kyung-Do Han, Nan Hee Kim; Received July 22, 2025 Accepted September 18, 2025 Published online November 12, 2025; DOI: https://doi.org/10.3803/EnM.2025.2570 [Epub ahead of print]

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Abstract PDF Supplementary Material PubReader ePub: Background
Despite the rising incidence of end-stage renal disease (ESRD) among individuals with type 2 diabetes mellitus (T2DM) in Korea, no predictive model or nomogram has been developed using a nationwide cohort. In this study, we developed a nomogram to predict the long-term risk of ESRD in patients with T2DM using a large-scale, population-based Korean database.
Methods
Using the Korean National Health Insurance Database, patients with T2DM who underwent health examinations between 2015 and 2016 were assigned as development (n=1,744,277) and validation (n=747,407) cohorts. New ESRD cases were identified using codes for renal replacement therapy. A Cox proportional hazards regression model was used to derive a risk-scoring system, and 13 variables were selected. A risk score nomogram was then created to estimate the risk of ESRD.
Results
In the development cohort, 8,631 patients with T2DM developed ESRD during a follow-up period of 4.8±0.9 years. After multivariable adjustment, significant predictors of ESRD included male sex, current smoking, physical inactivity, low income, low body mass index, hypertension, low-density lipoprotein cholesterol ≥160 mg/dL, chronic kidney disease, insulin use, and longer duration of T2DM. A final nomogram incorporating 13 variables was developed to estimate the individual probability of ESRD. The concordance index for ESRD prediction in the validation cohort was 0.906 (95% confidence interval, 0.9 to 0.912).
Conclusion
This 13-variable nomogram provides a simple tool for identifying patients with T2DM at high risk of ESRD and may aid in early intervention.

Diabetes, obesity and metabolism Big Data Articles (National Health Insurance Service Database)
The Triglyceride-Glucose Index and Risk of End-Stage Renal Disease across Different Durations of Type 2 Diabetes Mellitus: A Longitudinal Cohort Study: Mi-sook Kim, Kyu-Na Lee, Jeongmin Lee, Jeongeun Kwak, Seung-Hwan Lee, Hyuk-Sang Kwon, Jing Hughes, Kyung-Do Han, Eun Young Lee; Endocrinol Metab. 2025;40(5):718-726. Published online May 19, 2025; DOI: https://doi.org/10.3803/EnM.2024.2271

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Background
This study investigated the association between the triglyceride-glucose (TyG) index, a marker of insulin resistance, and the risk of end-stage renal disease (ESRD) in individuals with type 2 diabetes mellitus (T2DM), focusing on variations by diabetes duration.
Methods
We analyzed 1,219,148 Korean adults with T2DM from National Health Insurance Service data who underwent biennial health evaluations (2015 to 2016). ESRD was defined using specific procedural codes (V codes), and Cox proportional hazard models were employed to estimate hazard ratios (HRs) for ESRD across TyG index quartiles and diabetes duration categories, adjusting for various confounders.
Results
Over 6,967,381 person-years of follow-up, 7,548 participants developed ESRD. Higher TyG index quartiles were independently associated with increased risk of ESRD, which was more pronounced with longer diabetes duration. The adjusted HR for ESRD in the highest TyG quartile (Q4) compared to the lowest quartile (Q1) was 1.235 (95% confidence interval [CI], 0.995 to 1.533) in new-onset diabetes, and 1.592 (95% CI, 1.465 to 1.730) in those with diabetes for ≥10 years. Compared to the lowest TyG quartile in new-onset diabetes, the adjusted HR for ESRD in the highest quartile with diabetes duration ≥10 years increased to 10.239 (95% CI, 8.440 to 12.422). Subgroup analysis revealed that a higher TyG index consistently increased the risk of ESRD, with stronger associations observed in younger individuals and those without comorbidities.
Conclusion
The TyG index is a significant predictor of ESRD in T2DM, particularly in those with prolonged diabetes duration. Targeting insulin resistance early may mitigate the risk of ESRD in this population.

Citations

Citations to this article as recorded by

Association between TYG-BMI index and asthma in adults over 45 years of age: analysis of Global Burden of Disease 2021, China Health and Retirement Longitudinal Study, and National Health and Nutrition Examination Survey data
Zhuolin Qin, Longqian Li, Cheng Wang
Journal of Asthma.2025; : 1. CrossRef

Namgok Lecture 2024

Hypothalamus and pituitary gland Big Data Articles (National Health Insurance Service Database)
Long-Term Prognosis and Systemic Impact of Acromegaly: Analyses Utilizing Korean National Health Insurance Data: Sangmo Hong, Kyungdo Han, Cheol-Young Park; Endocrinol Metab. 2025;40(1):1-9. Published online February 4, 2025; DOI: https://doi.org/10.3803/EnM.2024.2285

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Abstract PDF PubReader ePub

Acromegaly is a rare endocrine disorder caused by excessive growth hormone secretion. Its low prevalence poses challenges in studying its long-term prognosis and systemic effects. To address this research gap, we conducted five studies using nationwide cohort data from the Korean National Health Insurance Database (NHID). This review consolidates the findings of these studies, which examined various long-term effects of acromegaly. The results demonstrated significant associations between acromegaly and increased mortality, a higher prevalence of mortality, cardiovascular outcomes, neurodegenerative diseases, depression, end-stage kidney disease, respiratory complications, specifically bronchiectasis, spine & hip fracture, and malignancy. These findings highlight the critical need for early diagnosis, comprehensive care, and long-term monitoring, and underscore the importance of a multidisciplinary approach in managing acromegaly.

Citations

Citations to this article as recorded by

Growth Hormone and IGF-1 Actions in the Brain and Neuropsychiatric Diseases
Manuel H. Aguiar-Oliveira, Margaret C. S. Boguszewski, Diego L. Rovaris, Jose Donato
Physiology.2026; 41(1): 3. CrossRef
Bidirectional interactions between sleep and metabolism: mechanisms and therapeutic implications for insulin resistance

New Medicine.2025; : 1. CrossRef
Spontaneous regression of a growth hormone‑secreting pituitary adenoma following thyroidectomy for toxic multinodular goiter with superior vena cava obstruction: Report of a rare case
Bayar Qasim, Sardar Arif, Ashur Izac, Halder Abozait, Rende Kochary
Medicine International.2025; 6(1): 1. CrossRef

Original Articles

Diabetes, obesity and metabolism
Impact of Chronic Kidney Disease and Gout on End-Stage Renal Disease in Type 2 Diabetes: Population-Based Cohort Study: Inha Jung, Da Young Lee, Seung Min Chung, So Young Park, Ji Hee Yu, Jun Sung Moon, Ji A Seo, Kyungdo Han, Nan Hee Kim; Endocrinol Metab. 2024;39(5):748-757. Published online August 30, 2024; DOI: https://doi.org/10.3803/EnM.2024.2020

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Background
We examined the impact of gout on the end-stage renal disease (ESRD) risk in patients with type 2 diabetes mellitus (T2DM) and determined whether this association differs according to chronic kidney disease (CKD) status.
Methods
Using the Korean National Health Insurance Service, this nationwide cohort study enrolled 847,884 patients with T2DM who underwent health checkups in 2009. Based on the presence of CKD (estimated glomerular filtration rate <60 mL/min/1.73 m²) and gout (two outpatient visits or one hospitalization within 5 years), patients were classified into four groups: CKD⁻Gout⁻, CKD⁻ Gout⁺, CKD⁺Gout⁻, and CKD⁺Gout⁺. Patients with incident ESRD were followed up until December 2018.
Results
Among 847,884 patients, 11,825 (1.4%) experienced progression to ESRD. ESRD incidence increased in the following order: 0.77 per 1,000 person-years (PY) in the CKD⁻Gout⁻ group, 1.34/1,000 PY in the CKD⁻Gout⁺ group, 8.20/1,000 PY in the CKD⁺Gout⁻ group, and 23.06/1,000 PY in the CKD⁺Gout⁺ group. The presence of gout modified the ESRD risk in a status-dependent manner. Hazard ratios (HR) were 1.49 (95% confidence interval [CI], 1.32 to 1.69) and 2.24 (95% CI, 2.09 to 2.40) in patients without and with CKD, respectively, indicating a significant interaction (P<0.0001). The CKD⁺Gout⁺ group had a markedly higher risk of developing ESRD (HR, 18.9; 95% CI, 17.58 to 20.32) than the reference group (CKD⁻Gout⁻).
Conclusion
Gout substantially enhances the risk of ESRD, even in the absence of CKD. Concurrent CKD and gout synergistically increase the risk of ESRD. Therefore, physicians should carefully screen for hyperuricemia to prevent progression to ESRD.

Citations

Citations to this article as recorded by

Heterogeneity in the development of diabetes-related complications: narrative review of the roles of ancestry and geographical determinants
Andrea O. Y. Luk, Yingnan Fan, Baoqi Fan, Edith W. K. Chow, Tony C. K. O
Diabetologia.2025; 68(11): 2386. CrossRef
Relationship between the Chinese visceral adiposity index and gout in individuals with type 2 diabetes mellitus: a cross-sectional population-based study
Ningyu Cai, Mengdie Chen, Ping Feng, Yiyun Wang, Xianping Zhu, Qidong Zheng
Frontiers in Nutrition.2025;[Epub] CrossRef

Thyroid Big Data Articles (National Health Insurance Service Database)
Graves’ Disease and the Risk of End-Stage Renal Disease: A Korean Population-Based Study: Yoon Young Cho, Bongseong Kim, Dong Wook Shin, Hye Ryoun Jang, Bo-Yeon Kim, Chan-Hee Jung, Jae Hyeon Kim, Sun Wook Kim, Jae Hoon Chung, Kyungdo Han, Tae Hyuk Kim; Endocrinol Metab. 2022;37(2):281-289. Published online April 6, 2022; DOI: https://doi.org/10.3803/EnM.2021.1333

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Background
Hyperthyroidism is associated with an increased glomerular filtration rate (GFR) in the hyperdynamic state, which is reversible after restoring euthyroidism. However, long-term follow-up of renal dysfunction in patients with hyperthyroidism has not been performed.
Methods
This was a retrospective cohort study using the Korean National Health Insurance database and biannual health checkup data. We included 41,778 Graves’ disease (GD) patients and 41,778 healthy controls, matched by age and sex. The incidences of end-stage renal disease (ESRD) were calculated in GD patients and controls. The cumulative dose and duration of antithyroid drugs (ATDs) were calculated for each patient and categorized into the highest, middle, and lowest tertiles.
Results
Among 41,778 GD patients, 55 ESRD cases occurred during 268,552 person-years of follow-up. Relative to the controls, regardless of smoking, drinking, or comorbidities, including chronic kidney disease, GD patients had a 47% lower risk of developing ESRD (hazard ratio [HR], 0.53; 95% confidence interval [CI], 0.37 to 0.76). In particular, GD patients with a higher baseline GFR (≥90 mL/min/1.73 m2; HR, 0.33; 95% CI, 0.11 to 0.99), longer treatment duration (>33 months; HR, 0.31; 95% CI, 0.17 to 0.58) or higher cumulative dose (>16,463 mg; HR, 0.29; 95% CI, 0.15 to 0.57) of ATDs had a significantly reduced risk of ESRD.
Conclusion
This was the first epidemiological study on the effect of GD on ESRD, and we demonstrated that GD population had a reduced risk for developing ESRD.

Citations

Citations to this article as recorded by

Chronic Kidney Disease and Thyroid Hormones
Yuan Cheng, Haofei Hu, Wangyang Li, Sheng Nie, Shiyu Zhou, Yuna Chen, Tao Cao, Hong Xu, Bicheng Liu, Chunbo Chen, Huafeng Liu, Qiongqiong Yang, Hua Li, Yaozhong Kong, Guisen Li, Yan Zha, Ying Hu, Gang Xu, Yongjun Shi, Yilun Zhou, Guobin Su, Ying Tang, Men
The Journal of Clinical Endocrinology & Metabolism.2025; 110(8): e2446. CrossRef
Significance of pathological changes and chemokine expression in various organs in a Graves’ disease animal model
Yang Yang, Chen Hui
Journal of Molecular Histology.2025;[Epub] CrossRef
Kidney diseases and the thyroid: interactions and consequences
Gabriela Brenta
Nature Reviews Endocrinology.2025;[Epub] CrossRef
Renal function changes in patients with subclinical hyperthyroidism: a novel postulated mechanism
Magdy Mohamed Allam, Hanaa Tarek El-Zawawy, Tarek Hussein El-Zawawy
Endocrine.2023; 82(1): 78. CrossRef
Effect of Hyperthyroidism on Preventing Renal Insufficiency
Tae Yong Kim
Endocrinology and Metabolism.2022; 37(2): 220. CrossRef
Effects and Clinical Value of Peritoneal Dialysis on Water and Water Balance, Adverse Reactions, Quality of Life, and Clinical Prognosis in Patients with Decompensated Chronic Nephropathy: A Systematic Review and Meta-Analysis
Xichao Wang, Miaomiao Zhang, Na Sun, Wenxiu Chang, Gang Chen
Computational and Mathematical Methods in Medicine.2022; 2022: 1. CrossRef

Diabetes
Effects of Dipeptidyl Peptidase-4 Inhibitors on Renal Outcomes in Patients with Type 2 Diabetes: A Systematic Review and Meta-Analysis: Jae Hyun Bae, Sunhee Kim, Eun-Gee Park, Sin Gon Kim, Seokyung Hahn, Nam Hoon Kim; Endocrinol Metab. 2019;34(1):80-92. Published online March 21, 2019; DOI: https://doi.org/10.3803/EnM.2019.34.1.80

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Background

To investigate the effects of dipeptidyl peptidase-4 (DPP-4) inhibitors on renal outcomes in patients with type 2 diabetes.

Methods

MEDLINE, Embase, and the Cochrane Central Register of Controlled Trials were searched to identify randomized controlled trials (RCTs) of DPP-4 inhibitors from inception to September 2017. We selected eligible RCTs comparing DPP-4 inhibitors with placebo or other antidiabetic agents and reporting at least one renal outcome. A meta-analysis was conducted to calculate standardized mean differences, weighted mean differences (WMDs), relative risks (RRs), and 95% confidence intervals (CIs) for each renal outcome.

Results

We included 23 RCTs with 19 publications involving 41,359 patients. Overall changes in urine albumin-to-creatinine ratio were comparable between DPP-4 inhibitors and controls (P=0.150). However, DPP-4 inhibitors were associated with significantly lower risk of incident microalbuminuria (RR, 0.89; 95% CI, 0.80 to 0.98; P=0.022) and macroalbuminuria (RR, 0.77; 95% CI, 0.61 to 0.97; P=0.027), as well as higher rates of regression of albuminuria (RR, 1.22; 95% CI, 1.10 to 1.35; P<0.001) compared with controls. Although DPP-4 inhibitors were associated with small but significantly lower estimated glomerular filtration rate (WMD, −1.11 mL/min/1.73 m²; 95% CI, −1.78 to −0.44; P=0.001), there was no difference in the risk of end-stage renal disease between two groups (RR, 0.93; 95% CI, 0.76 to 1.14; P=0.475).

Conclusion

DPP-4 inhibitors had beneficial renal effects mainly by reducing the risk of development or progression of albuminuria compared with placebo or other antidiabetic agents.

Citations

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