Ontology highlight
ABSTRACT: Background
The risk of stroke in individuals with very low low-density lipoprotein cholesterol (LDL-C) concentrations remains high. We sought to prioritize predictive risk factors for stroke in Chinese participants with LDL-C concentrations < 70 mg/dL using a survival conditional inference tree, a machine learning method.Methods
The training dataset included 9327 individuals with LDL-C concentrations < 70 mg/dL who were free of cardiovascular diseases and did not use lipid-modifying drugs from the Kailuan I study (N = 101,510). We examined the validity of this algorithm in a second Chinese cohort of 1753 participants with LDL-C concentrations < 70 mg/dL from the Kailuan II study (N = 35,856).Results
During a mean 8.5-9.0-year follow-up period, we identified 388 isch
SUBMITTER: Wu Z
PROVIDER: S-EPMC8207613 | biostudies-literature | 2021 Jun
REPOSITORIES: biostudies-literature