Assessment of Machine Learning to Estimate the Individual Treatment Effect of Corticosteroids in Septic Shock.

ABSTRACT:

Importance

The survival benefit of corticosteroids in septic shock remains uncertain.

Objective

To estimate the individual treatment effect (ITE) of corticosteroids in adults with septic shock in intensive care units using machine learning and to evaluate the net benefit of corticosteroids when the decision to treat is based on the individual estimated absolute treatment effect.

Design, setting, and participants

This cohort study used individual patient data from 4 trials on steroid supplementation in adults with septic shock as a training cohort to model the ITE using an ensemble machine learning approach. Data from a double-blinded, placebo-controlled randomized clinical trial comparing hydrocortisone with placebo were used for external validation. Data analysis was

SUBMITTER: Pirracchio R 

PROVIDER: S-EPMC7729430 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature