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Dataset Information

Mortality Risk Profiles for Sepsis: A Novel Longitudinal and Multivariable Approach.


ABSTRACT: To determine if a set of time-varying biological indicators can be used to: 1) predict the sepsis mortality risk over time and 2) generate mortality risk profiles.

Design

Prospective observational study.

Setting

Nine Canadian ICUs.

Subjects

Three-hundred fifty-six septic patients.

Interventions

None.

Measurements and main results

Clinical data and plasma levels of biomarkers were collected longitudinally. We used a complementary log-log model to account for the daily mortality risk of each patient until death in ICU/hospital, discharge, or 28 days after admission. The model, which is a versatile version of the Cox model for gaining longitudinal insights, created a composite indicator (the daily hazard of dying) from the "day 1" and "change" variables of s

SUBMITTER: Liaw PC 

PROVIDER: S-EPMC7063956 | biostudies-literature | 2019 Aug

REPOSITORIES: biostudies-literature