The International journal of health planning and management · 2019
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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Lou Jieqiong, Jing Limei, Yang Hui, Qin Fei, Long Wen, Shi Rong
Аннотация
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 < .05). The classification tree model identified seven risk factors (HbA1c, FBG, hypertension, postprandial blood glucose, BMI, triacylglycerol, and HDL), of which, HbA1c (cut-off point 7.45%), hypertension, and FBG showed the strongest association.
CONCLUSION: This suggests that screening for DN based on HbA1c, FBG, and hypertension should be more extensively promoted by the government on a community level, more attention should be focused on patients' health management, and that patients should be educated on self-management.
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 < .05). The classification tree model identified seven risk factors (HbA1c, FBG, hypertension, postprandial blood glucose, BMI, triacylglycerol, and HDL), of which, HbA1c (cut-off point 7.45%), hypertension, and FBG showed the strongest association.
CONCLUSION: This suggests that screening for DN based on HbA1c, FBG, and hypertension should be more extensively promoted by the government on a community level, more attention should be focused on patients' health management, and that patients should be educated on self-management.