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Related Experiment Video

Updated: Aug 19, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
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Machine-learning-derived sepsis bundle of care.

Alexandre Kalimouttou1,2, Ivan Lerner2,3,4, Chérifa Cheurfa5

  • 1Inserm UMR 1153, Center of Research in Epidemiology and StatisticS (CRESS), ECSTRRA Team, Université Paris Cité and Université Sorbonne Paris Nord, 75004, Paris, France.

Intensive Care Medicine
|November 29, 2022
PubMed
Summary

A new sepsis bundle of six key recommendations significantly reduces 28-day mortality in patients with sepsis and septic shock. This evidence-based bundle offers a promising strategy for improving outcomes in critical care settings.

Keywords:
ComplianceGuidelinesMachine learningSepsisSeptic shock

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Area of Science:

  • Critical Care Medicine
  • Clinical Research
  • Health Outcomes

Background:

  • Limited adherence to Surviving Sepsis Campaign (SSC) guidelines is linked to increased patient mortality.
  • Identifying an optimal set of guideline recommendations is crucial for improving sepsis care.

Purpose of the Study:

  • To identify an optimal bundle of Surviving Sepsis Campaign (SSC) recommendations to minimize 28-day mortality in sepsis patients.
  • To validate this bundle in independent patient cohorts.

Main Methods:

  • A retrospective cohort study utilizing machine learning (least absolute shrinkage and selection operator) on training data to identify the optimal bundle.
  • Patients with sepsis/septic shock were extracted from MIMIC-IV and eICU-CRD databases for training, internal, and external validation.
  • Propensity score matching was used to compare outcomes between patients receiving the bundle and those not.

Main Results:

  • A bundle comprising six recommendations (antimicrobials, balanced crystalloid, insulin, corticosteroids, vasopressin, bicarbonate) was identified.
  • The bundle group showed significantly lower 28-day mortality in both internal (OR 0.41) and external (OR 0.75) validation cohorts.
  • The findings were statistically significant (p < 0.001 and p = 0.02, respectively).

Conclusions:

  • A specific bundle of six SSC recommendations significantly reduces mortality in sepsis and septic shock.
  • This identified bundle demonstrates potential for improving patient survival.
  • Prospective evaluation of this bundle is warranted to confirm its clinical utility.