Multistate modeling for survival analysis in critically ill patients treated with meropenem.

ABSTRACT: Appropriate antibiotic dosing to ensure early and sufficient target attainment is crucial for improving clinical outcome in critically ill patients. Parametric survival analysis is a preferred modeling method to quantify time-varying antibiotic exposure - response effects, whereas bias may be introduced in hazard functions and survival functions when competing events occur. This study investigated predictors of in-hospital mortality in critically ill patients treated with meropenem by pharmacometric multistate modeling. A multistate model comprising five states (ongoing meropenem treatment, other antibiotic treatment, antibiotic treatment termination, discharge, and death) was developed to capture the transitions in a cohort of 577 critically ill patients treated with meropenem. Various fa

SUBMITTER: Peng Y 

PROVIDER: S-EPMC10864930 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature