Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Fentanyl-propofol combinations exhibit complex, nonlinear dose-response relationships with ICU admission risk. High-dose combinations markedly increase risk through synergistic effects, while specific patient subgroups require enhanced monitoring even at standard doses. These findings support the development of individualized dosing algorithms and risk assessment tools that could inform future decision support tools aimed at reducing postoperative ICU use, although their predictive performance and clinical impact would require external validation.

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Publication Details

Journal
JMIR Formative Research
Published
2026-02-25
DOI
https://doi.org/10.2196/80294
Primary Topic
Anesthesia and Sedative Agents
Type
article
Field-Weighted Citation Impact
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article

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Weijia Li, Junqi Cui, Enoch Chi Ngai Lim, Chi Eung Danforn Lim et al.
JMIR Formative Research
Anesthesia and Sedative Agents
article

Stratified Causal Inference for Intensive Care Unit Risk Prediction: Informatics-Based Modeling of Anesthetic Drug Combinations

Weijia Li, Junqi Cui, Enoch Chi Ngai Lim, Chi Eung Danforn Lim, Xiaoqin Wu
article en

Abstract

Fentanyl-propofol combinations exhibit complex, nonlinear dose-response relationships with ICU admission risk. High-dose combinations markedly increase risk through synergistic effects, while specific patient subgroups require enhanced monitoring even at standard doses. These findings support the development of individualized dosing algorithms and risk assessment tools that could inform future decision support tools aimed at reducing postoperative ICU use, although their predictive performance and clinical impact would require external validation.

JMIR Formative ResearchVol. 10
University of Technology Sydney (AU), Beijing University of Chinese Medicine (CN), UNSW Sydney (AU), Sax Institute (AU), Services Australia (AU), Western Sydney University (AU)
Openalex Percentile: Top 44%
Anesthesia and Sedative Agents
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