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.
Authors
- Weijia Li (ORCID: https://orcid.org/0000-0001-7787-4353)
- Junqi Cui
- Enoch Chi Ngai Lim
- Chi Eung Danforn Lim
- Xiaoqin Wu
Institutions
- University of Technology Sydney (AU)
- Beijing University of Chinese Medicine (CN)
- UNSW Sydney (AU)
- Sax Institute (AU)
- Services Australia (AU)
- Western Sydney University (AU)
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
- 0.00