Development of a nomogram to predict 30-day mortality of patients with sepsis-associated encephalopathy: a retrospective cohort study.

ABSTRACT:

Background

Sepsis-associated encephalopathy (SAE) is related to increased short-term mortality in patients with sepsis. We aim to establish a user-friendly nomogram for individual prediction of 30-day risk of mortality in patients with SAE.

Methods

Data were retrospectively retrieved from the Medical Information Mart for Intensive Care (MIMIC III) open source clinical database. SAE was defined by Glasgow Coma Score (GCS) < 15 or delirium at the presence of sepsis. Prediction model with a nomogram was constructed in the training set by logistic regression analysis and then undergone internal validation and sensitivity analysis.

Results

SAE accounted for about 50% in patients with sepsis and was independently associated with the 30-day mortality of sepsis. Variables eli

SUBMITTER: Yang Y 

PROVIDER: S-EPMC7331133 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature