Evidence map›Paper›PMID 41668730›Full record

ArticleFrontiers in cellular and infection microbiology2025

Exploring the association between dexmedetomidine and all-cause mortality in mechanically ventilated patients with sepsis through propensity score matching analysis and machine learning algorithms: a MIMIC-IV retrospective study.

Yanxia Wei, Minghui Li, Peng Wang, Jie Zhou, Kejian Lu, Huageng Huang, Yanjuan Huang, Fei Lin

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Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yanxia Wei *Department of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Minghui Li *Department of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Peng WangDepartment of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Jie ZhouDepartment of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, China.
Kejian LuDepartment of Anesthesiology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Huageng HuangDepartment of Anesthesiology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yanjuan HuangDepartment of Anesthesiology, The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Fei LinDepartment of Anesthesiology, Guangxi Medical University Cancer Hospital, Nanning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Sepsis carries high ICU mortality globally, often requiring sedated mechanical ventilation. While some studies suggest dexmedetomidine improves survival in these patients, others contradict this finding. This study evaluates dexmedetomidine's survival benefit and sedation value for ventilated sepsis cases. Methods: This retrospective cohort study utilized the MIMIC-IV database and eICU-CRD to analyze mechanically ventilated septic patients. Propensity score matching was employed to balance covariates. Machine learning algorithms were applied to validate dexmedetomidine's role in predicting mortality. Results: A propensity score matching analysis was performed for 5176 pairs of patients. The use of dexmedetomidine was associated with a reduced risk of 28-day mortality (13.39% vs. 19.84%, HR: 0.595, Conclusions: Dexmedetomidine use significantly reduces short-term mortality in mechanically ventilated patients with sepsis but prolongs the hospital and ICU length of stay (LOS) and duration of mechanical ventilation. Administering dexmedetomidine within 48 hours and maintaining an infusion rate at or below 0.6 μg/kg/h appears to be more beneficial. Moreover, dexmedetomidine use strongly influences mortality in these patients.

Indexed as

DexmedetomidineHypnotics and SedativesMachine LearningRespiration, ArtificialSepsisAgedFemaleHumansIntensive Care UnitsLength of StayMaleMiddle AgedPropensity ScoreRetrospective StudiesDexmedetomidineHypnotics and Sedativesdexmedetomidinemachine learningmechanical ventilationmortalitypropensity score matchingsepsis

Identifiers

PMID41668730
PMCPMC12883744

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.