Detection of statin-induced rhabdomyolysis and muscular related adverse events through data mining technique.

ABSTRACT:

Background and objective

Rhabdomyolysis (RM) is a life-threatening adverse drug reaction in which statins are the one commonly related to RM. The study aimed to explore the association between statin used and RM or other muscular related adverse events. In addition, drug interaction with statins were also assessed.

Methods

All extracted prescriptions were grouped as lipophilic and hydrophilic statins. RM outcome was identified by electronically screening and later ascertaining by chart review. The study proposed 4 models, i.e., logistic regression (LR), Bayesian network (BN), random forests (RF), and extreme gradient boosting (XGBoost). Features were selected using multiple processes, i.e., bootstrapping, expert opinions, and univariate analysis.

Results

A total of 93

SUBMITTER: Kunakorntham P 

PROVIDER: S-EPMC9446837 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature