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February 27, 2026JMIR Formative Research2 citationsOpen Access

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

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JCJunqi CuiWLWeijia LiELEnoch Chi Ngai Lim

Key Result

High-dose fentanyl (>5 mcg/kg) with low propofol (<1 mg/kg) increases postoperative ICU admission risk by 36%, with 6 subgroups showing distinct dose-response risks.

Key Points

  • This research aimed to establish a machine learning framework for predicting ICU admission risk related to anesthetic drug combinations.
  • Analyzed electronic health records from 67,134 surgical procedures (2017-2022)
  • Developed a counterfactual dose-response model for fentanyl-propofol combinations
  • Identified 6 dose-sensitive patient subgroups through stratified analysis
  • Estimated causal effects while controlling for confounding variables
  • High-risk drug combinations increased ICU admission risk by 36%
  • Identified patient subgroups at higher risk even at standard drug doses
  • Optimal dosing was found to be 1.25 to 4.25 mg/kg for propofol and 3.5 to 4.0 mcg/kg for fentanyl

Structured PICO

Does the specific dose combination of fentanyl and propofol affect the risk of postoperative ICU admission in surgical patients?

P
Population
67,134 surgical procedures from a single center (UC Irvine Medical Center) between 2017 and 2022
I
Intervention
Fentanyl and propofol anesthetic dose combinations
C
Comparator
Alternative dose combinations (counterfactual dose-response modeling)
O
Outcome
Postoperative intensive care unit (ICU) admissionhard clinical

Specific fentanyl-propofol dose combinations, particularly high fentanyl with low propofol, significantly increase the risk of postoperative ICU admission, highlighting the need for individualized dosing.

Limitations

  • requires external validation

Abstract

Abstract Background Postoperative intensive care unit (ICU) admission affects 15% to 20% of surgical patients and represents a major source of morbidity and health care costs. Current anesthetic dosing relies on empirical guidelines rather than individualized risk assessment. We developed a counterfactual dose-response model to identify optimal fentanyl-propofol combinations. Objective This study aimed to develop and evaluate a stratified, causal machine learning framework using electronic health record data to identify optimal fentanyl-propofol dose combinations and predict postoperative ICU admission risk, enabling precision anesthesia and individualized clinical decision support. Methods We analyzed perioperative electronic health records of 67,134 surgical procedures from UC Irvine Medical Center (2017‐2022). A hierarchical learning framework was used to estimate causal effects while controlling for confounding variables. A total of 6 dose-sensitive subgroups were identified through stratified analysis. The primary end point was postoperative ICU admission. Results High-risk combinations (fentanyl >5 mcg/kg with propofol <1 mg/kg) increased ICU admissions’ absolute risk difference by 36% (absolute risk increase; 95% CI 0.351-0.509; P <.001). A total of 6 patient subgroups demonstrated distinct dose-response patterns, with populations considered vulnerable (high glucose, elevated creatinine) showing elevated risk even at standard doses. The optimal dose range for decision-making was determined to be 1.25 to 4.25 mg/kg for propofol and 3.5 to 4.0 mcg/kg for fentanyl. Conclusions 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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Cite This Study

Cui et al. (2026) studied this question. High-dose fentanyl (>5 mcg/kg) with low propofol (<1 mg/kg) increases postoperative ICU admission risk by 36%, with 6 subgroups showing distinct dose-response risks.

synapsesocial.com/papers/69a13571ed1d949a99abf4e8https://doi.org/10.2196/80294
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