Ontology highlight
ABSTRACT: Background
There is limited evidence to support definite clinical outcomes of direct oral anticoagulant (DOAC) therapy in chronic kidney disease (CKD). By identifying the important variables associated with clinical outcomes following DOAC administration in patients in different stages of CKD, this study aims to assess this evidence gap.Methods
An anonymised dataset comprising 97,413 patients receiving DOAC therapy in a tertiary health setting was systematically extracted from the multidimensional electronic health records and prepared for analysis. Machine learning classifiers were applied to the prepared dataset to select the important features which informed covariate selection in multivariate logistic regression analysis.Results
For both CKD and non-CKD DOAC use
SUBMITTER: Nwanosike EM
PROVIDER: S-EPMC11405428 | biostudies-literature | 2024 Jun
REPOSITORIES: biostudies-literature