Analysis of Clinical Subphenotypes in Methicillin-Resistant Staphylococcus aureus Bacteremia: A Post Hoc Analysis of the MRSA-GEIRAS-SEIMC Study - Summary - MDSpire

Analysis of Clinical Subphenotypes in Methicillin-Resistant Staphylococcus aureus Bacteremia: A Post Hoc Analysis of the MRSA-GEIRAS-SEIMC Study

  • By

  • Sofía De La Villa

  • Nuria Fernández-Hidalgo

  • Francesc Escrihuela-Vidal

  • Rosa Escudero-Sánchez

  • Itxasne Cabezón

  • Lucía Boix-Palop

  • Beatriz Díaz-Pollán

  • Ane Josune Goikoetxea

  • María José García-País

  • Lucía Ramos-Merino

  • María Teresa Pérez-Rodríguez

  • Ángela Crespo

  • Lara del Río

  • José María Bellón-Cano

  • Patricia Muñoz

  • on behalf of

  • MRSA-GEIRAS-SEIMC study group

  • Damaris Berbel

  • Luis Buzón-Martín

  • David Campany

  • Alex García-Tellado

  • Inmaculada Grau

  • José Manuel Guerra-Laso

  • Joan Roig-Sanchis

  • Celia Sánchez-Martínez

  • Oscar Sanz

  • Fiorana Silvante

  • Belén Viñado

  • Luciana Urbina

  • Ana V Halperin

  • Mariona Xercavins

  • December 16, 2025

  • 0 min

Share

Objective:

To identify and evaluate clinical subphenotypes in patients with methicillin-resistant Staphylococcus aureus bacteremia (MRSAB) and assess their association with all-cause 90-day mortality, highlighting the importance of these subphenotypes in guiding treatment strategies.

Key Findings:
  • Four distinct clinical subphenotypes identified: S1 (younger, community-acquired), S2 (older, high comorbidity, healthcare-related), S3 (catheter source, nosocomial), S4 (heart valve prostheses, metastatic foci).
  • 90-day mortality rates: S1 - 20.0% (95% CI: X-Y), S2 - 47.4% (95% CI: X-Y), S3 - 26.2% (95% CI: X-Y), S4 - 35.1% (95% CI: X-Y) (P < .01).
  • Increased mortality risk in S2 (HR 2.98) and S4 (HR 1.99) compared to S1.
Interpretation:

Identifying clinical subphenotypes in MRSAB can help predict mortality risk and guide treatment strategies, potentially improving patient outcomes.

Limitations:
  • Retrospective design may introduce bias and affect data reliability.
  • Exclusion of patients with missing data could affect generalizability.
Conclusion:

Four clinical subphenotypes of MRSAB were associated with different prognostic outcomes, warranting further investigation for clinical application.

Original Source(s)

Related Content