Adverse event prediction in propofol-remimazolam tosilate anesthesia

The RF model, developed using key perioperative indicators, effectively predicts the risk of ARAEs during propofol-remimazolam tosilate anesthesia. Surgical duration, hemodynamic stability, and respiratory recovery status are the most significant predictors.

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Publication Details

Journal
Frontiers in Medicine
Published
2026-01-15
DOI
https://doi.org/10.3389/fmed.2025.1731100
Primary Topic
Anesthesia and Sedative Agents
Type
article
Field-Weighted Citation Impact
0.00
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article

Adverse event prediction in propofol-remimazolam tosilate anesthesia

Shengyong Liang, Fengqiang Sun, Minmin Zhai
Frontiers in Medicine
Anesthesia and Sedative Agents
article

Adverse event prediction in propofol-remimazolam tosilate anesthesia

Shengyong Liang, Fengqiang Sun, Minmin Zhai
article en

Abstract

The RF model, developed using key perioperative indicators, effectively predicts the risk of ARAEs during propofol-remimazolam tosilate anesthesia. Surgical duration, hemodynamic stability, and respiratory recovery status are the most significant predictors.

Frontiers in MedicineVol. 12
Zoucheng People's Hospital (CN)
Openalex Percentile: Top 86%
Anesthesia and Sedative Agents
DOIOpen Access PDFOpenAlex
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Adverse event prediction in propofol-remimazolam tosilate anesthesia — Shengyong Liang, Fengqiang Sun, et al. · Frontiers in Medicine (2026) | TGRS Research Map | TGRS