Risk factors for persistent decline in eGFR of Japanese patients with diabetes: Analysis using a large‐scale diabetes registry J‐ DREAMS
Year: 2025
Type: article
Study design: Observational Study
Abstract: AIMS/INTRODUCTION: This study aimed to identify clinical predictors associated with sustained decline in estimated glomerular filtration rate (eGFR) among Japanese individuals diagnosed with diabetes mellitus. MATERIALS AND METHODS: We conducted a retrospective analysis using J-DREAMS (Japan Diabetes compREhensive database project based on an Advanced Electronic Medical record System), a large-scale registry integrated with electronic medical records. The study population included adults (≥18 years) with diabetes who had at least one documented visit at a referral institution between December 1, 2015, and March 31, 2021, with concurrent measurements of serum creatinine and hemoglobin. RESULTS: A total of 12,416 and 11,157 patients were eligible for assessment of eGFR change at 1 and 2 years, respectively. Multivariable logistic regression identified several consistent risk factors for ≥30% eGFR reduction at both time points: low serum albumin, elevated triglycerides, anemia as defined by JSDT, diabetic retinopathy, CKD Stage G4 or higher, albuminuria category A3, and chronic heart failure. Additional predictors at 1 year included age under 65 and elevated HbA1c, while smoking, hypertension, and diabetic neuropathy were significant only at 2 years. CONCLUSION: Beyond retinopathy and advanced kidney disease, anemia, hypoalbuminemia, and heart failure independently contributed to persistent eGFR decline, supporting the clinical relevance of cardio-renal anemia syndrome in diabetic populations.
DOI: 10.1111/jdi.70214
Language: English
Subfield: Nephrology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,850
Awards: 診療録直結型大規模糖尿病レジストリを用いた糖尿病合併症抑制のための治療法に関するエビデンス創出のための研究, G3828866032, G4632242005, 新型コロナ感染症流行による糖尿病患者の生活様式・受診行動の変化が重症化に及ぼす影響の解析と今後の診療体制構築のための研究, G5425165318, 大規模レジストリ・大規模臨床試験の分析による標準的糖尿病診療体制の構築のための研究, 電子カルテ情報活用型多施設症例データベースを利用した糖尿病に関する 大規模な臨床情報収集に関する基盤的研究, 大規模レジストリ・大規模臨床試験の分析による合併症予防に有効な標準糖尿病診療の構築のための研究
OpenAlex ID: W4417292243
