Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis.

ABSTRACT: Sepsis is a life-threatening condition with a high in-hospital mortality rate. The timing of antibiotic administration poses a critical problem for sepsis management. Existing work studying antibiotic timing either ignores the temporality of the observational data or the heterogeneity of the treatment effects. Here we propose a novel method (called T4) to estimate treatment effects for time-to-treatment antibiotic stewardship in sepsis. T4 estimates individual treatment effects by recurrently encoding temporal and static variables as potential confounders, and then decoding the outcomes under different treatment sequences. We propose mini-batch balancing matching that mimics the randomized controlled trial process to adjust the confounding. The model achieves interpretability through a glo

SUBMITTER: Liu R 

PROVIDER: S-EPMC10135432 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature