Candidate predictors
ischemic heart disease, cancer, dementia, peripheral vascular disease, heart failure, dyslipidemia
KIDNEY DISEASE, CANCER, EVENT, LIVER DISEASE, CHRONIC LUNG DISEASE, DIABETIC COMPLICATIONS, HEART FAILURE, HYPERTENSION, CEREBROVASCULAR DISEASE, DYSLIPIDEMIA
Candidate predictors were selected based on data availability and clinical relevance, including age, sex, hypertension, dyslipidemia, diabetic complications, ischemic heart disease, peripheral vascular disease, heart failure, cerebrovascular disease, dementia, chronic lung disease, moderate or severe kidney disease, mild liver disease, moderate or severe liver disease, cancer, insulin, oral antidiabetic drugs, antihypertensive drugs, lipid‐lowering drugs, anticoagulant drugs, aspirin, other antiplatelet drugs, nonsteroidal anti‐inflammatory drugs, glycosylated hemoglobin (HbA1c), total cholesterol, high‐density lipoprotein cholesterol (HDL‐C), low‐density lipoprotein cholesterol (LDL‐C), and triglyceride. Comorbidities and medications were assessed between the earliest date of recording and the end date of the 1‐year lag period after cohort entry. Biochemical indicators were defined as the closest recorded values within 2 years before and after enrollment.Multiple imputation was performed to handle missing values of biochemical indicators. The imputation model included candidate predictors and event indicators. A total of 10 datasets were imputed, and the data distribution of biochemical indicators in the original and imputed datasets indicated good imputation (Table 