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The covariates were adjusted in the PSM model for a priori-identified potential confounders, such as age, sex, race/ethnicity, nicotine dependence, BMI, type 2 diabetes, hypertension, hyperlipidaemia, hypercholesterolaemia, chronic respiratory disease, chronic renal diseases, BP, chronic kidney disease, peripheral vascular diseases, diabetes-related microvascular complications, glomerular diseases, cirrhosis of the liver, osteoporosis, sleep apnoea, abnormal laboratory findings (HbA 1c , serum cholesterol, LDL-cholesterol, HDL-cholesterol and triacylglycerol [TG]) and intake of cardiovascular medications (Table 1)
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