Machine learning-driven sedation-analgesia optimization in mechanically ventilated sepsis patients: a retrospective MIMIC-IV analysis

The concurrent administration of fentanyl and midazolam was associated with lower ICU mortality and shorter length of ICU stay among septic patients necessitating endotracheal intubation and invasive mechanical ventilation, suggesting potential clinical benefit. Furthermore, the LightGBM algorithm exhibited superior predictive accuracy for ICU mortality within this cohort, suggesting its potential utility as a tool for supporting data-driven clinical decision-making.

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Publication Details

Journal
Frontiers in Pharmacology
Published
2026-01-21
DOI
https://doi.org/10.3389/fphar.2026.1673704
Primary Topic
Intensive Care Unit Cognitive Disorders
Type
article
Field-Weighted Citation Impact
0.00

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article

Machine learning-driven sedation-analgesia optimization in mechanically ventilated sepsis patients: a retrospective MIMIC-IV analysis

Tao Xu, Xianying Lei, Lirong Hu, Xiaolan Gao et al.
Frontiers in Pharmacology
Intensive Care Unit Cognitive Disorders
article

Machine learning-driven sedation-analgesia optimization in mechanically ventilated sepsis patients: a retrospective MIMIC-IV analysis

Tao Xu, Xianying Lei, Lirong Hu, Xiaolan Gao, Qinxue Hu
article en

Abstract

The concurrent administration of fentanyl and midazolam was associated with lower ICU mortality and shorter length of ICU stay among septic patients necessitating endotracheal intubation and invasive mechanical ventilation, suggesting potential clinical benefit. Furthermore, the LightGBM algorithm exhibited superior predictive accuracy for ICU mortality within this cohort, suggesting its potential utility as a tool for supporting data-driven clinical decision-making.

Frontiers in PharmacologyVol. 17
Southwest Medical University (CN)
Southwest Medical University
Good health and well-being
Openalex Percentile: Top 82%
Intensive Care Unit Cognitive Disorders
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