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Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: Logistic regression and classification tree model analysis

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  • Jieqiong Lou
  • Limei Jing
  • Hui Yang
  • Fei Qin
  • Wen Long
  • Rong Shi

Abstract

Background The prevalence of type 2 diabetes mellitus (T2DM) in China was 11.6% in 2010. Chronic complications are the main diabetes‐related cause of death and disability, accounting for more than 80% of the cost of diabetes treatment. Diabetic nephropathy (DN) is a common microvascular complication and is the second leading cause of end‐stage renal failure in China. Objective We aimed to analyse the DN status among community‐based T2DM patients and to explore risk factors for T2DM with DN. Methods This study was conducted in six communities of Shanghai. We administered a questionnaire, physical examination, and biochemical tests to 5078 patients with T2DM. Logistic regression and the classification tree model were used to analyse risk factors for T2DM with DN. Results In total, 1937 patients were diagnosed with DN (prevalence 38.4%). The logistic regression model indicated that course of disease more than 15 years, body mass index (BMI) greater than 24 kg/m2, haemoglobin A1c (HbA1c) greater than 7.5%, fasting blood glucose (FBG) greater than 11.0 mmol/L, total cholesterol (TC), and high‐density lipoprotein (HDL)‐C control failure, hypertension, and diabetic retinopathy were risk factors for T2DM with DN (P

Suggested Citation

  • Jieqiong Lou & Limei Jing & Hui Yang & Fei Qin & Wen Long & Rong Shi, 2019. "Risk factors for diabetic nephropathy complications in community patients with type 2 diabetes mellitus in Shanghai: Logistic regression and classification tree model analysis," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(3), pages 1013-1024, July.
    • Handle: RePEc:bla:ijhplm:v:34:y:2019:i:3:p:1013-1024
    DOI: 10.1002/hpm.2871
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