Prediction for Respiratory Failure in Ischemic Stroke Patients Admitted to ICU: A Retrospective Analysis Based on MIMIC-IV Database.

ABSTRACT:

Introduction

There remains a lack of studies evaluating the risk of respiratory failure in intensive care unit (ICU)-admitted ischemic stroke (IS) patients. We aim to develop a nomogram for the prediction of respiratory failure in those patients and the identification of the patients with high risk of respiratory failure, to facilitate early intervention.

Methods

The medical data of IS patients in the Medical Information Mart for Intensive Care (MIMIC)-IV database were extracted. Variables were selected using Cox stepwise regression, and variables with statistical significance were finally included in the nomogram. The marginal structural Cox model (MSCM) was to adjust for baseline and time varying confounding factors. The calibration curve and Receiver operating characteris

SUBMITTER: Liu Z 

PROVIDER: S-EPMC12723203 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature