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OLFM4 polymorphisms predict septic shock survival after major surgery.

Felipe Pérez-García1, Salvador Resino1, Esther Gómez-Sánchez2

  • 1Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Majadahonda, Spain.

European Journal of Clinical Investigation
|September 30, 2020
PubMed
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The OLFM4 rs17552047 A allele is linked to better survival in major surgery patients with septic shock. This genetic marker, combined with clinical factors, aids in predicting septic shock outcomes.

Area of Science:

  • Genetics
  • Molecular Biology
  • Critical Care Medicine

Background:

  • Higher olfactomedin-4 (OLFM4) expression correlates with increased mortality in septic shock.
  • Nuclear factor-kappa B (NF-κB) regulates OLFM4 expression.
  • Septic shock poses a significant risk of organ failure and death.

Purpose of the Study:

  • To investigate the association between OLFM4 single nucleotide polymorphisms (SNPs) and mortality in septic shock patients undergoing major surgery.
  • To assess the predictive performance of OLFM4 SNPs for septic shock-related death.
  • To evaluate the combined predictive value of OLFM4 SNPs and clinical variables.

Main Methods:

  • Retrospective study of 175 major surgery patients.
  • Genotyping of seven OLFM4 SNPs using MassARRAY.
Keywords:
OLFM4SNPsmajor surgeryrs17552047septic shocksurvival

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  • Statistical analysis included Kaplan-Meier and Cox regression.
  • Receiver-operating characteristic (AUROC) curves evaluated predictive performance.

    • Main Results:

    • The OLFM4 rs17552047 A allele was associated with higher survival rates (P=0.024).
    • rs17552047 demonstrated a reduced risk of death (aHR=0.44; 95% CI=0.27-0.71).
    • Incorporating rs17552047 into a clinical model improved septic shock mortality prediction (AUROC from 0.776 to 0.811).

    Conclusions:

    • The OLFM4 rs17552047 A allele serves as a predictor of septic shock survival in post-major surgery patients.
    • rs17552047, alongside clinical factors, can enhance the prediction of septic shock outcomes.