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A Multifactorial Risk Score System for the Prediction of Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus

医学 弗雷明翰风险评分 逻辑回归 内科学 糖尿病 置信区间 血压 曲线下面积 疾病 内分泌学
作者
Dongna Hui,Fang Zhang,Yuanyue Lu,Huiqiang Hao,Sugui Tian,Xiuzhao Fan,Yanqin Li,Xiaoshuang Zhou,Rongshan Li
出处
期刊:Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy [Dove Medical Press]
卷期号:Volume 16: 385-395 被引量:2
标识
DOI:10.2147/dmso.s391781
摘要

Purpose: In-depth investigations of risk factors for the identification of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) are rare. We aimed to investigate the risk factors for developing DKD from multiple types of clinical data and conduct a comprehensive risk assessment for individuals with diabetes. Methods: We carried out a case-control study, enrolling 958 patients to identify the risk factors for developing DKD in T2DM patients from a database established from inpatient electronic medical records. Multivariable logistic regression was applied to develop a prediction model and the performance of the model was evaluated using the area under the curve (AUC) and calibration curve. A multifactorial risk score system was established according to the Framingham Study risk score. Results: DKD accounted for 34.03% of eligible patients in total. Twelve risk factors were selected in the final prediction model, including age, duration of diabetes, duration of hypertension, fasting blood glucose, fasting C-peptide, insulin use, systolic blood pressure, low-density lipoprotein, γ-glutamyl transpeptidase, platelet, uric acid, and thyroid stimulating hormone; and one protective factor, serum albumin. The prediction model showed an AUC of 0.862 (95% Confidence Interval (CI) 0.834– 0.890) with an accuracy of 81.5% in the derivation dataset and an AUC of 0.876 (95% CI 0.825– 0.928) in the validation dataset. The calibration curves were excellent and the estimated probability of DKD was more than 80% when the cumulative score for risk factors reached 17 points. Conclusion: Newly recognized risk factors were applied to assess the development of DKD in T2DM patients and the established risk score system was a reliable and feasible tool for assisting clinicians to identify patients at high risk of DKD. Keywords: diabetic kidney disease, multifactorial, prediction model, risk factors, type 2 diabetes

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