Annals of Clinical Epidemiology
Online ISSN : 2434-4338
Risk factors for nephropathy in individuals with new-onset type 2 diabetes undergoing treatment for hypertension: A retrospective analysis using the Diagnosis Procedure Combination database
Tomoko Ishigaki SuzukiMari Saito ObaKohei Uemura
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ジャーナル オープンアクセス 早期公開

論文ID: 25009

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INTRODUCTION: Diabetic nephropathy is a common complication of diabetes. We investigated the risk factors for diabetic nephropathy in individuals newly diagnosed with type 2 diabetes.

METHODS: Data from the Japanese Diagnosis Procedure Combination in-patient database (April 2008 to December 2018) were analyzed. The endpoint was subsequent diabetic nephropathy diagnosis or as the time when estimated glomerular filtration rate become < 60 ml/min/1.73 m2. Candidate risk factors included age; Hemoglobin A1c, log-transformed triglyceride, total cholesterol, and high-density lipoprotein cholesterol levels; body mass index; and estimated glomerular filtration rate. Eligible individuals with type 2 diabetes without complications who had pre- and post-diagnosis Hemoglobin A1c and serum creatinine measurements, and a history of hypertension or cardiovascular disease pre-diagnosis. Those with pre-existing kidney diseases, nephropathy onset pre-diagnosis, estimated glomerular filtration rate < 60 ml/min/1.73 m2 on or before diabetes diagnosis, or age < 20 years at diabetes diagnosis were excluded. A multivariate Cox proportional hazards model (p = 0.2 backward selection) was employed.

RESULTS: Of 2,664 eligible individuals (1,775 men, 889 women), 325 men and 175 women developed diabetic nephropathy during follow-up. Cumulative incidence within 5 years was 29.0% in men and 32.5% in women. Age and estimated glomerular filtration rate in both sexes, and total cholesterol in men were significant.

CONCLUSION: Age, estimated glomerular filtration rate, and lipid pose potential risks for diabetic nephropathy onset within 5 years of diabetes diagnosis in individuals with hypertension. Collectively, our findings highlight the importance of early monitoring and intervention in this high-risk.

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© 2025 Society for Clinical Epidemiology

This article is licensed under a Creative Commons [Attribution-NonCommercial-NoDerivatives 4.0 International] license.
https://creativecommons.org/licenses/by-nc-nd/4.0/
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