胱抑素C
横断面研究
医学
糖尿病
队列
队列研究
内科学
环境卫生
内分泌学
病理
肾功能
作者
Ye Kuang,Jia Wang,Yang Wang,Chuanmei Peng,Pei He,Yong Woo Ji,Jing Tian,Yong Yuan,Lei Feng
出处
期刊:iScience
[Cell Press]
日期:2025-06-23
卷期号:28 (7): 112979-112979
标识
DOI:10.1016/j.isci.2025.112979
摘要
Diabetes mellitus with hypertension (DM + HTN) markedly elevates cardiovascular risks, yet its predictors remain unclear. Analyzing 5210 DM patients from three cohorts, this study identified serum cystatin C (CysC) as an independent risk factor for DM + HTN through univariate and multivariate logistic regression. A risk prediction model incorporating CysC concentration was developed and adjusted for age, sex, race, education, body mass index, smoking status, and drinking status. The model demonstrated good predictive performance and net benefit through receiver operating characteristic curves, calibration curves, and decision curve analysis. Restricted cubic spline analysis demonstrated a nonlinear relationship between CysC levels and DM + HTN risk, with concentrations above 0.94 mg/L exhibiting elevated risk. The model's performance was further evaluated using 10 machine learning algorithms and interpreted using SHapley Additive exPlanations (SHAP). This research provides a CysC-based model to aid clinicians in early identification of high-risk individuals.
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