Oncotarget

Clinical Research Papers:

A non-laboratory-based risk score for predicting diabetic kidney disease in Chinese patients with type 2 diabetes

Mian Wu, Junxi Lu, Lei Zhang, Fengjing Liu, Si Chen, Ying Han, Fangya Zhao, Kaifeng Guo, Yuqian Bao, Haibing Chen _ and Weiping Jia

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Oncotarget. 2017; 8:102550-102558. https://doi.org/10.18632/oncotarget.21684

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Abstract

Mian Wu1,*, Junxi Lu1,*, Lei Zhang1, Fengjing Liu1, Si Chen1, Ying Han1, Fangya Zhao1, Kaifeng Guo1, Yuqian Bao1, Haibing Chen1,2 and Weiping Jia1

1Shanghai Diabetes Institute, Shanghai Key Laboratory of Diabetes Mellitus, Shanghai Clinical Center for Diabetes, Department of Endocrinology and Metabolism, Shanghai Jiaotong University Affiliated Sixth People’s Hospital, Shanghai, China

2Department of Endocrinology and Metabolism, Shanghai Eighth People’s Hospital, Shanghai, China

*These authors contributed equally to this work

Correspondence to:

Haibing Chen, email: chenhb@sjtu.edu.cn

Keywords: chinese, diabetic kidney disease, prognosis, risk factors, type 2 diabetes

Received: July 29, 2017     Accepted: September 22, 2017     Published: October 09, 2017

ABSTRACT

Aim: To construct a simple screening tool for predicting diabetic kidney disease in Chinese patients with type 2 diabetes.

Materials and Methods: In the development cohort, the clinical and procedural characteristics of the 4,795 patients were considered as candidate univariate predictors of diabetic kidney disease. The β-coefficients derived from a multiple logistic regression model predicting the presence of DKD were used to calculate the risk score. The performance of the risk score was validated in a cross-sectional and a prospective cohort population.

Results: The risk score included sex, body mass index, systolic blood pressure, and duration of diabetes. The total point ranged from 0 to 39. In the development cohort, compared with participants with risk score < 10, those with risk score between 10 to 20, 21 to 30, and > 30 had ORs of 3.21, 7.92 and 17.55 for developing diabetic kidney disease, respectively. In the prospective cohort, 60.9% patients with risk score over 30 were expected to develop DKD at 72 months of follow-up.

Conclusions: Sex, body mass index, systolic blood pressure, and duration of diabetes were independent predictors of diabetic kidney disease, and the derived risk equation was a simple screening tool for screening diabetic kidney disease in Chinese patients with type 2 diabetes.


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