A novel nomogram to predict mortality in patients with stroke: a survival analysis based on the MIMIC-III clinical database.

ABSTRACT:

Background

Stroke is a disease characterized by sudden cerebral ischemia and is the second leading cause of death worldwide. We aimed to develop and validate a nomogram model to predict mortality in intensive care unit patients with stroke.

Methods

All data involved in this study were extracted from the Medical Information Mart for Intensive Care III database (MIMIC-III). The data were analyzed using multivariate Cox regression, and the performance of the novel nomogram, which assessed the patient's overall survival at 30, 180, and 360 days after stroke, was evaluated using Harrell's concordance index (C-index) and the area under the receiver operating characteristic curve. A calibration curve and decision curve were introduced to test the clinical value and effectiveness of

SUBMITTER: Li XD 

PROVIDER: S-EPMC8988376 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature