Multicenter Validation of Clinical Sepsis Phenotypes - Report - MDSpire

Multicenter Validation of Clinical Sepsis Phenotypes

  • By

  • Chang Ho Yoon

  • Daniel Sjöholm

  • Kristin E. Wickstrøm

  • Anders Skyrud Danielsen

  • Christian Prebensen

  • John Karlsson Valik

  • Aleksander Rygh Holten

  • Erik Koldberg Amundsen

  • A. Sarah Walker

  • David W. Eyre

  • Valeria Vitelli

  • Pontus Nauclér

  • June 1, 2026

  • 0 min

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Validation of Clinical Sepsis Phenotypes Across Multiple Centers

Overview

This study validates the sepsis phenotypes identified in the SENECA study across three international healthcare settings.

Background

Sepsis is a significant global health challenge characterized by life-threatening organ dysfunction due to a dysregulated host response to infection. The heterogeneity of sepsis complicates the development of effective targeted therapies. Validating sepsis phenotypes across different populations is essential for understanding their generalizability.

Data Highlights

No numerical data was provided in the source material.

Key Findings

  • The study validated the four sepsis phenotypes identified by Seymour et al. in diverse healthcare settings.
  • Phenotypes were assessed using similar methods to the original SENECA study, including cohort selection and unsupervised clustering techniques.
  • Data were collected from emergency departments in Oslo, Stockholm, and Oxford, demonstrating a multicenter approach.
  • Patients included were adults meeting sepsis criteria within 6 hours of admission, ensuring a consistent definition across sites.

Clinical Implications

The validation of sepsis phenotypes across different healthcare settings may enhance the understanding of sepsis management and inform future clinical guidelines. Clinicians should consider these phenotypes when designing therapeutic trials and tailoring treatment approaches.

Conclusion

The study provides evidence for the validation of sepsis phenotypes identified in the SENECA study.

Related Resources & Content

  1. Seymour et al., Intensive Care Medicine, 2025 -- Validation of Clinical Sepsis Phenotypes Across Multiple Centers
  2. Infection — Longitudinal Analysis and Characterization of Sepsis Phenotypes Using Routine Clinical Data in Critically Ill Patients: A Retrospective Latent Profile Study
  3. Critical Care (Springer) — Identification of Clinical Subphenotypes in Sepsis Through Mixed Data Analysis and Treatment Response Variability: A Cluster Analysis from Multicenter Observational Research
  4. Critical Care (Springer) — Microvascular phenotypes in pediatric sepsis identified by machine learning: prognostic implications for organ dysfunction and mortality
  5. Surviving Sepsis Campaign Adult Guidelines | SCCM
  6. Personalized Hemodynamic Resuscitation Targeting Capillary Refill Time in Early Septic Shock: The ANDROMEDA-SHOCK-2 Randomized Clinical Trial
  7. Electronic Sepsis Screening Among Patients Admitted to Hospital Wards: A Stepped-Wedge Cluster Randomized Trial - PMC
  8. Optimal Vasopressin Initiation in Septic Shock: The OVISS Reinforcement Learning Study - PubMed
  9. Clinical subtypes in critically ill patients with sepsis: validation and parsimonious classifier model development | Critical Care | Springer Nature Link
  10. Identification and longitudinal assessment of sepsis phenotypes derived from routine clinical data in critically ill patients: a retrospective repeated measures latent profile analysis | Infection | Springer Nature Link
  11. An international observational study validating gene-expression sepsis immune subgroups | Critical Care | Springer Nature Link

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