Predictors and nomogram of in-hospital mortality in sepsis-induced myocardial injury: a retrospective cohort study.

ABSTRACT:

Background

Sepsis-induced myocardial injury (SIMI) is a common organ dysfunction and is associated with higher mortality in patients with sepsis. We aim to construct a nomogram prediction model to assess the 28-day mortality in patients with SIMI. .

Method

We retrospectively extracted data from Medical Information Mart for Intensive Care (MIMIC-IV) open-source clinical database. SIMI was defined by Troponin T (higher than the 99th percentile of upper reference limit value) and patients with cardiovascular disease were excluded. A prediction model was constructed in the training cohort by backward stepwise Cox proportional hazards regression model. The concordance index (C-index), area under the receiver operating characteristics curve (AUC), net reclassification improvement

SUBMITTER: Xu KZ 

PROVIDER: S-EPMC10327384 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature