[The prevalence and risk factors of diabetic peripheral artery disease in Chinese communities].

L Qin, B Chen, J Y Niu,J Wang, Z G Wang,M Wu, J Y Zhou, Q J Zhang, F Zhou, Z Y Zhou, N Zhang, G Y Lyu, H Y Sheng,W J Wang

Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi(2022)

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摘要
Objective: To investigate the prevalence and risk factors of diabetic peripheral artery disease (PAD) in patients with type 2 diabetes mellitus (T2DM) managed in primary health care in China. Methods: A total of 2 528 T2DM patients were selected using a two-stage cluster random sampling method based on the baseline survey of the "China Diabetic Foot Prevention Model Project." The study was conducted in 2015 among T2DM patients in 8 primary healthcare centers in Changshu county and Jiang'an district of Wuhan, China. Data collection methods included a questionnaire, body measurement, and blood glucose detection. The Ankle-Brachial Index (ABI) is the most widely used noninvasive vascular test. A binary logistic regression model was used to analyze the influence factors. Results: The prevalence of PAD was 11.2% among the diabetic patients managed in primary health care in the two cities. The prevalence of PAD under 55 years old, 55- years old, 65- years old, and ≥75 years old were 7.8%, 6.0%, 12.9% and 22.5%, respectively. Multivariate stepwise logistic regression identified influence factors included older age, higher education level, smoking, drinking, postprandial glucose uncontrol, and prior myocardial infarction or angina. Compared to age <55 years, the odds ratio for PAD were 0.74 for 55- years (95%CI: 0.43-1.28), 1.72 for 65- years (95%CI: 1.05-2.81), 3.56 for 75 years and above (95%CI: 2.07-6.11), respectively. Compared to patients with education in primary school and below, the odds ratio was 1.37 (95%CI: 0.97-1.94), 2.48 (95%CI: 1.73-3.55), 1.99 (95%CI: 1.26-3.13) for those with education levels of junior high school, senior high school, and college, respectively. Current smoking (OR=1.49, 95%CI: 1.02-2.17), current drinking (OR=0.45, 95%CI: 0.28-0.71), postprandial glucose uncontrol (2 h postprandial plasma glucose >10.0 mmol/L: OR=1.72, 95%CI: 1.22-2.43), and prior myocardial infarction or angina (OR=2.32, 95%CI: 1.50-3.61) were influencing factors of PAD. Conclusions: Despite the high prevalence of PAD in diabetes managed in primary health care; multiple risk factors are not effectively aware of and under control. It is urgent to promote ABI screening and standardized management for diabetes, especially in primary health care.
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