Endocrinology and Metabolism

Inha Jung

6 Articles

Diabetes, Obesity and Metabolism
Sleep Duration and the Risk of Type 2 Diabetes: A Community-Based Cohort Study with a 16-Year Follow-up: Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Seung Ku Lee, Chol Shin, Nan Hee Kim; Endocrinol Metab. 2023;38(1):146-155. Published online February 6, 2023; DOI: https://doi.org/10.3803/EnM.2022.1582

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Background
We aimed to investigate the moderating effects of obesity, age, and sex on the association between sleep duration and the development of diabetes in Asians.
Methods
We analyzed data from a cohort of the Korean Genome and Epidemiology Study conducted from 2001 to 2020. After excluding shift workers and those with diabetes at baseline, 7,407 participants were stratified into three groups according to sleep duration: ≤5 hours/night, >5 to 7 hours/night (reference), and >7 hours/night. The Cox proportional hazards analyses were used to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident type 2 diabetes mellitus (T2DM). Subgroup analyses were performed according to obesity, age, and sex.
Results
During 16 years of follow-up, 2,024 cases of T2DM were identified. Individuals who slept ≤5 h/night had a higher risk of incident diabetes than the reference group (HR, 1.17; 95% CI, 1.02 to 1.33). The subgroup analysis observed a valid interaction with sleep duration only for obesity. A higher risk of T2DM was observed in the ≤5 hours/night group in non-obese individuals, men, and those aged <60 years, and in the >7 hours/night group in obese individuals (HRs were 1.34 [95% CI, 1.11 to 1.61], 1.22 [95% CI, 1 to 1.49], and 1.18 [95% CI, 1.01 to 1.39], respectively).
Conclusion
This study confirmed the effect of sleep deprivation on the risk of T2DM throughout the 16-year follow-up period. This impact was confined to non-obese or young individuals and men. We observed a significant interaction between sleep duration and obesity.

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Attention to Innate Circadian Rhythm and the Impact of Its Disruption on Diabetes
Da Young Lee, Inha Jung, So Young Park, Ji Hee Yu, Ji A Seo, Kyeong Jin Kim, Nam Hoon Kim, Hye Jin Yoo, Sin Gon Kim, Kyung Mook Choi, Sei Hyun Baik, Nan Hee Kim
Diabetes & Metabolism Journal.2024; 48(1): 37. CrossRef
Role of Sleep and Sleep Disorders in Cardiometabolic Risk: a Review and Update
Shaden O. Qasrawi, Ahmed S. BaHammam
Current Sleep Medicine Reports.2024; 10(1): 34. CrossRef
Evaluating reliability in wearable devices for sleep staging
Vera Birrer, Mohamed Elgendi, Olivier Lambercy, Carlo Menon
npj Digital Medicine.2024;[Epub] CrossRef
Replication Study of Genome Wide Association Study of Sleep Duration in Korean Association Resources Cohort
Seok-Ho Cho, Seon-Ah Kim, Hyun-Seok Jin, Hong Sung Kim
Biomedical Science Letters.2024; 30(2): 86. CrossRef
Insights into optimal BMI from the GlasVEGAS study
Chun-Kwan O, Juliana C. N. Chan
Nature Metabolism.2024; 6(8): 1435. CrossRef
Mechanisms, consequences and role of interventions for sleep deprivation: Focus on mild cognitive impairment and Alzheimer’s disease in elderly
Upasana Mukherjee, Ujala Sehar, Malcolm Brownell, P. Hemachandra Reddy
Ageing Research Reviews.2024; 100: 102457. CrossRef
All That Glitters Is Not Gold: The Same Sleep Time, but Different Diabetogenic Outcomes
Bohye Kim, Obin Kwon
Endocrinology and Metabolism.2023; 38(1): 78. CrossRef
The Link Between Sleeping and Type 2 Diabetes: A Systematic Review
Ali Darraj
Cureus.2023;[Epub] CrossRef

Diabetes, Obesity and Metabolism Big Data Articles (National Health Insurance Service Database)
The Effects of Glucose Lowering Agents on the Secondary Prevention of Coronary Artery Disease in Patients with Type 2 Diabetes: Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2021;36(5):977-987. Published online October 14, 2021; DOI: https://doi.org/10.3803/EnM.2021.1046

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Background
Patients with diabetes have a higher risk of requiring repeated percutaneous coronary intervention (PCI) than non-diabetic patients. We aimed to evaluate and compare the effects of anti-diabetic drugs on the secondary prevention of myocardial infarction among type 2 diabetes mellitus patients.
Methods
We analyzed the general health check-up dataset and claims data of the Korean National Health Insurance Service of 199,714 participants (age ≥30 years) who underwent PCIs between 2010 and 2013. Those who underwent additional PCI within 1 year of their first PCI (n=3,325) and those who died within 1 year (n=1,312) were excluded. Patients were classified according to their prescription records for glucose-lowering agents. The primary endpoint was the incidence rate of coronary revascularization.
Results
A total of 35,348 patients were included in the study. Metformin significantly decreased the risk of requiring repeat PCI in all patients (adjusted hazard ratio [aHR], 0.77). In obese patients with body mass index (BMI) ≥25 kg/m², patients treated with thiazolidinedione (TZD) exhibited a decreased risk of requiring repeat revascularization than those who were not treated with TZD (aHR, 0.77; 95% confidence interval, 0.63 to 0.95). Patients treated with metformin showed a decreased risk of requiring revascularization regardless of their BMI. Insulin, meglitinide, and alpha-glucosidase inhibitor were associated with increased risk of repeated PCI.
Conclusion
The risk of requiring repeat revascularization was lower in diabetic patients treated with metformin and in obese patients treated with TZD. These results suggest that physicians should choose appropriate glucose-lowering agents for the secondary prevention of coronary artery disease.

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Preadmission metformin use increased the incidence of hyperlactatemia at admission and 30-day in-hospital mortality among T2D patients with heart disease at high risk of hypoxia
Le Zhang, Xia Zhao, Zhongsu Wang, Hao Deng, Xue Zhang, Xuan Wang, Jiahui Lao, Mei Gao, Yinglong Hou, Yi Han
International Journal of Cardiology.2024; 412: 132338. CrossRef
Application of systemic inflammation indices and lipid metabolism-related factors in coronary artery disease
Zhuoyan Zhao, Huan Lian, Yixiang Liu, Lixian Sun, Ying Zhang
Coronary Artery Disease.2023; 34(5): 306. CrossRef
Effect of metformin on adverse outcomes in T2DM patients: Systemic review and meta-analysis of observational studies
Zhicheng Xu, Haidong Zhang, Chenghui Wu, Yuxiang Zheng, Jingzhou Jiang
Frontiers in Cardiovascular Medicine.2022;[Epub] CrossRef
Establishment of a Predictive Model for Poor Prognosis of Incomplete Revascularization in Patients with Coronary Heart Disease and Multivessel Disease
Huan Lian, Zhuoyan Zhao, Kelin Ma, Zhenjiang Ding, Lixian Sun, Ying Zhang
Clinical and Applied Thrombosis/Hemostasis.2022; 28: 107602962211392. CrossRef

Diabetes, Obesity and Metabolism
Changes in Insulin Resistance Index and the Risk of Liver Fibrosis in Patients with Nonalcoholic Fatty Liver Disease without Diabetes: Kangbuk Samsung Health Study: Dae-Jeong Koo, Mi Yeon Lee, Inha Jung, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2021;36(5):1016-1028. Published online October 21, 2021; DOI: https://doi.org/10.3803/EnM.2021.1110

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Background
Fibrosis is the most important prognostic factor for nonalcoholic fatty liver disease (NAFLD). Insulin resistance plays a key role of fibrosis progression. We evaluated the association between changes in homeostasis model assessment of insulin resistance (HOMA-IR) values and changes in fibrosis status in NAFLD.
Methods
We analyzed the data of 15,728 participants with NAFLD (86% men, mean age 40.5 years) who had no diabetes at baseline and visited our centers for health check-ups both in 2012 and 2016. The participants were classified into four groups according to the degree of change in HOMA-IR values from baseline to the end of follow-up: G1 (<0), G2 (0–0.50), G3 (0.51–1.00), and G4 (>1.00). NAFLD was assessed by ultrasonography, and fibrosis status was evaluated by the NAFLD fibrosis score (NFS) and the aspartate aminotransferase to platelet ratio index (APRI).
Results
After the 4-year follow-up, the multivariable-adjusted odds ratio (OR) for progression of fibrosis probability increased with increasing HOMA-IR values (OR, 2.25; 95% confidence interval [CI], 1.87 to 2.71 for NFS; and OR, 2.55; 95% CI, 2.05 to 3.18 for APRI, G4). This tendency remained consistent throughout the subgroup analyses, except in those for female sex and a body mass index <25 kg/m². The OR for regression of fibrosis probability decreased with increasing HOMA-IR values (OR, 0.33; 95% CI, 0.25 to 0.43 for NFS, G4).
Conclusion
Changes in HOMA-IR values were associated with changes in fibrosis status in patients with NAFLD without diabetes, which underscores the role of insulin resistance in liver fibrosis.

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Insulin Resistance/Sensitivity Measures as Screening Indicators of Metabolic-Associated Fatty Liver Disease and Liver Fibrosis
Mohammad E. Khamseh, Mojtaba Malek, Soodeh Jahangiri, Sohrab Nobarani, Azita Hekmatdoost, Marieh Salavatizadeh, Samira Soltanieh, Haleh Chehrehgosha, Hoda Taheri, Zeinab Montazeri, Fereshteh Attaran, Faramarz Ismail-Beigi, Fariba Alaei-Shahmiri
Digestive Diseases and Sciences.2024; 69(4): 1430. CrossRef
Association between nonalcoholic fatty liver disease and left ventricular diastolic dysfunction: A 7-year retrospective cohort study of 3,380 adults using serial echocardiography
Gyuri Kim, Tae Yang Yu, Jae Hwan Jee, Ji Cheol Bae, Mira Kang, Jae Hyeon Kim
Diabetes & Metabolism.2024; 50(3): 101534. CrossRef
Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
Inha Jung, Dae-Jeong Koo, Won-Young Lee
Diabetes & Metabolism Journal.2024; 48(3): 327. CrossRef
Effects of luseogliflozin on suspected MASLD in patients with diabetes: a pooled meta-analysis of phase III clinical trials
Takumi Kawaguchi, Kenta Murotani, Hiromitsu Kajiyama, Hitoshi Obara, Hironori Yamaguchi, Yuko Toyofuku, Fumi Kaneko, Yutaka Seino, Saeko Uchida
Journal of Gastroenterology.2024; 59(9): 836. CrossRef
Factors Associated with Liver Fibrosis in Chinese Patients with Type 2 Diabetes Mellitus and Non-Alcoholic Fatty Liver Disease
Yu Luo, Cuiyu Wang, Tian Zhang, Xiaoyu He, Jianan Hao, Andong Shen, Hang Zhao, Shuchun Chen, Luping Ren
International Journal of General Medicine.2023; Volume 16: 293. CrossRef
Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
Nutrients.2022; 14(14): 2795. CrossRef
Metabolic Score for Insulin Resistance Is Inversely Related to Incident Advanced Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease
Jun-Hyuk Lee, Yu-Jin Kwon, Kyongmin Park, Hye Sun Lee, Hoon-Ki Park, Jee Hye Han, Sang Bong Ahn
Nutrients.2022; 14(15): 3039. CrossRef
Machine learning models including insulin resistance indexes for predicting liver stiffness in United States population: Data from NHANES
Kexing Han, Kexuan Tan, Jiapei Shen, Yuting Gu, Zilong Wang, Jiayu He, Luyang Kang, Weijie Sun, Long Gao, Yufeng Gao
Frontiers in Public Health.2022;[Epub] CrossRef
The crosstalk between insulin resistance and nonalcoholic fatty liver disease/metabolic dysfunction-associated fatty liver disease: a culprit or a consequence?
Dae-Jeong Koo, Won-Young Lee
Cardiovascular Prevention and Pharmacotherapy.2022; 4(4): 132. CrossRef

Diabetes, Obesity and Metabolism
Increased Risk of Nonalcoholic Fatty Liver Disease in Individuals with High Weight Variability: Inha Jung, Dae-Jeong Koo, Mi Yeon Lee, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2021;36(4):845-854. Published online August 27, 2021; DOI: https://doi.org/10.3803/EnM.2021.1098

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Background
Weight loss through lifestyle modification is recommended for patients with nonalcoholic fatty liver disease (NAFLD). Recent studies have suggested that repeated loss and gain of weight is associated with worse health outcomes. This study aimed to examine the association between weight variability and the risk of NAFLD in patients without diabetes.
Methods
We examined the health-checkup data of 30,708 participants who had undergone serial examinations between 2010 and 2014. Weight variability was assessed using coefficient of variation and the average successive variability of weight (ASVW), which was defined as the sum of absolute weight changes between successive years over the 5-year period divided by 4. The participants were classified according to the baseline body mass index and weight difference over 4 years.
Results
On dividing the participants into four groups according to ASVW quartile groups, those in the highest quartile showed a significantly increased risk of NAFLD compared to those in the lowest quartile (odds ratio [OR], 1.89; 95% confidence interval [CI], 1.63 to 2.19). Among participants without obesity at baseline, individuals with high ASVW showed increased risk of NAFLD (OR, 1.80; 95% CI, 1.61 to 2.01). Participants with increased weight over 4 years and high ASVW demonstrated higher risk of NAFLD compared to those with stable weight and low ASVW (OR, 4.87; 95% CI, 4.29 to 5.53).
Conclusion
Regardless of participant baseline obesity status, high weight variability was associated with an increased risk of developing NAFLD. Our results suggest that further effort is required to minimize weight fluctuations after achieving a desirable body weight.

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Changes in Macronutrients during Dieting Lead to Weight Cycling and Metabolic Complications in Mouse Model
Anouk Charlot, Anthony Bringolf, Léa Debrut, Joris Mallard, Anne-Laure Charles, Emilie Crouchet, Delphine Duteil, Bernard Geny, Joffrey Zoll
Nutrients.2024; 16(5): 646. CrossRef
Body weight variability and the risk of liver‐related outcomes in type 2 diabetes and steatotic liver disease: a cohort study
Nathalie C. Leite, Claudia R. L. Cardoso, Cristiane A. Villela‐Nogueira, Gil F. Salles
Obesity.2024; 32(6): 1210. CrossRef
Insulin Resistance, Non-Alcoholic Fatty Liver Disease and Type 2 Diabetes Mellitus: Clinical and Experimental Perspective
Inha Jung, Dae-Jeong Koo, Won-Young Lee
Diabetes & Metabolism Journal.2024; 48(3): 327. CrossRef
Weight variability, physical functioning and incident disability in older adults
Katie J. McMenamin, Tamara B. Harris, Joshua F. Baker
Journal of Cachexia, Sarcopenia and Muscle.2023; 14(4): 1648. CrossRef
Dulaglutide Ameliorates Palmitic Acid-Induced Hepatic Steatosis by Activating FAM3A Signaling Pathway
Jinmi Lee, Seok-Woo Hong, Min-Jeong Kim, Sun Joon Moon, Hyemi Kwon, Se Eun Park, Eun-Jung Rhee, Won-Young Lee
Endocrinology and Metabolism.2022; 37(1): 74. CrossRef
Triglyceride and glucose index is a simple and easy‐to‐calculate marker associated with nonalcoholic fatty liver disease
Kyung‐Soo Kim, Sangmo Hong, Hong‐Yup Ahn, Cheol‐Young Park
Obesity.2022; 30(6): 1279. CrossRef
Metabolic (dysfunction)-associated fatty liver disease in individuals of normal weight
Mohammed Eslam, Hashem B. El-Serag, Sven Francque, Shiv K. Sarin, Lai Wei, Elisabetta Bugianesi, Jacob George
Nature Reviews Gastroenterology & Hepatology.2022; 19(10): 638. CrossRef
Impact of COVID-19 Lockdown on Non-Alcoholic Fatty Liver Disease and Insulin Resistance in Adults: A before and after Pandemic Lockdown Longitudinal Study
Ángel Arturo López-González, Bárbara Altisench Jané, Luis Masmiquel Comas, Sebastiana Arroyo Bote, Hilda María González San Miguel, José Ignacio Ramírez Manent
Nutrients.2022; 14(14): 2795. CrossRef
Higher Weight Variability Could Bring You a Fatty Liver
Yeoree Yang, Jae-Hyoung Cho
Endocrinology and Metabolism.2021; 36(4): 766. CrossRef
Autonomic Imbalance Increases the Risk for Non-alcoholic Fatty Liver Disease
Inha Jung, Da Young Lee, Mi Yeon Lee, Hyemi Kwon, Eun-Jung Rhee, Cheol-Young Park, Ki-Won Oh, Won-Young Lee, Sung-Woo Park, Se Eun Park
Frontiers in Endocrinology.2021;[Epub] CrossRef

Clinical Study
The Prevalence and Risk of Type 2 Diabetes in Adults with Disabilities in Korea: Inha Jung, Hyemi Kwon, Se Eun Park, Kyung-Do Han, Yong-Gyu Park, Eun-Jung Rhee, Won-Young Lee; Endocrinol Metab. 2020;35(3):552-561. Published online July 22, 2020; DOI: https://doi.org/10.3803/EnM.2020.653

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Background
People with disabilities are at risk of secondary conditions such as diabetes. The aim of this study was to evaluate the prevalence and risk of type 2 diabetes in South Korea, especially among people with all types of disabilities.
Methods
We conducted a cross-sectional study using data from the Korean National Health Insurance Service, with two disabilityfree controls matched for each participant with disabilities by age and sex. Information regarding the type, severity and grade of disabilities was obtained based on the National Disability Registry. Diagnosis of type 2 diabetes was defined according to the following criteria: presence of International Classification of Diseases, Tenth Revision, Clinical Modification codes E11, E12, E13, or E14 and claims for at least one oral anti-diabetic agent or insulin at baseline, or fasting glucose level ≥126 mg/dL.
Results
We included 1,297,806 participants with disabilities and 2,943,719 control. Out of 4,241,525 participants, 841,990 (19.9%) were diagnosed with diabetes. The prevalence of diabetes was higher in the disability group compared with individuals without disabilities (23.1% vs. 18.4%). The odds of having diabetes was higher in the disability group compared with the control group (adjusted odds ratio, 1.34; 95% confidence interval, 1.33 to 1.34). The results showed higher prevalence of diabetes in the mildly disabled group (23.2%) than in the severely disabled group (22.7%).
Conclusion
The prevalence and risk of diabetes were higher in people with disabilities compared with the general population. Physicians and public health authorities should focus on people with disabilities for proper diabetes management.

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Widening disparities in the national prevalence of diabetes mellitus for people with disabilities in South Korea
I. Hwang, S.Y. Kim, Y.Y. Kim, J.H. Park
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You-Bin Lee, Hyewon Kim, Jungkuk Lee, Dongwoo Kang, Gyuri Kim, Sang-Man Jin, Jae Hyeon Kim, Hong Jin Jeon, Kyu Yeon Hur
Scientific Reports.2024;[Epub] CrossRef
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 & Metabolism Journal.2024; 48(1): 122. CrossRef
Pathways linking health literacy to self-care in diabetic patients with physical disabilities: A moderated mediation model
Hye Jin Nam, Ju Young Yoon, Wen-Jun Tu
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Dysphagia Requiring Medical Attention in Parkinson’s Disease: A Korean Population-Based Study
Seungwoo Cha, Won Kee Chang, Hee-Mun Cho, Kyungdo Han, Nam-Jong Paik, Sohyun Kwon, Won-Seok Kim
Journal of Korean Medical Science.2023;[Epub] CrossRef
Disparities in diabetes-related avoidable hospitalization among diabetes patients with disability using a nationwide cohort study
Hin Moi Youn, Dong-Woo Choi, Sung-In Jang, Eun-Cheol Park
Scientific Reports.2022;[Epub] CrossRef
Disability type–specific mortality patterns and life expectancy among disabled people in South Korea using 10-year combined data between 2008 and 2017
Jinwook Bahk, Hee-Yeon Kang, Young-Ho Khang
Preventive Medicine Reports.2022; 29: 101958. CrossRef
Cholecystectomy reduces the risk of myocardial and cerebral infarction in patients with gallstone-related infection
Seon Mee Park, Hyun Jung Kim, Tae Uk Kang, Heather Swan, Hyeong Sik Ahn
Scientific Reports.2022;[Epub] CrossRef
Nationwide trends in the incidence of tuberculosis among people with disabilities in Korea: a nationwide serial cross-sectional study
Jinsoo Min, So Young Kim, Jong Eun Park, Yeon Yong Kim, Jong Hyock Park
Epidemiology and Health.2022; 44: e2022098. CrossRef
Prevalence of Type 2 Diabetes among Persons with Disabilities in the South-East Asian Region
Rajeswaran Thiagesan, Vijayaprasad Gopichandran, Sudharshini Subramaniam, Hilaria Soundari, Kalpana Kosalram
Current Medical Issues.2022; 20(3): 161. CrossRef
Cumulative exposure to impaired fasting glucose and future risk of type 2 diabetes mellitus
Mee Kyoung Kim, Kyungdo Han, Eun Sil Koh, Oak-Kee Hong, Ki-Hyun Baek, Ki-Ho Song, Hyuk-Sang Kwon
Diabetes Research and Clinical Practice.2021; 175: 108799. CrossRef
Diabetes in People with Disabilities: a Call for Action
Inha Jung, Eun-Jung Rhee, Won-Young Lee
Cardiovascular Prevention and Pharmacotherapy.2021; 3(4): 82. CrossRef

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; Received April 23, 2024 Accepted July 2, 2024 Published online August 30, 2024; DOI: https://doi.org/10.3803/EnM.2024.2020 [Epub ahead of print]

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Abstract PDF: 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.

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