Adverse event prediction in propofol-remimazolam tosilate anesthesia.

ABSTRACT:

Objective

This study aimed to develop and validate a predictive model for anesthesia-related adverse events (ARAEs) in patients receiving propofol combined with remimazolam tosilate, based on perioperative clinical indicators.

Methods

A retrospective study was conducted on patients who underwent propofol-remimazolam tosilate anesthesia at our hospital from January 2021 to December 2024. The cohort was divided into a training set (n = 218, 70%) and a validation set (n = 94, 30%). Demographic characteristics, vital sign monitoring data, laboratory test results, and anesthesia recovery parameters were collected. Independent predictors of ARAEs were identified through univariate and multivariate logistic regression analyses. Machine learning algorithms, including r

SUBMITTER: Zhai M 

PROVIDER: S-EPMC12852453 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature