Sepsis & infection

Comparison of the diagnostic accuracies of various biomarkers and scoring systems for sepsis: A systematic review and Bayesian diagnostic test accuracy network meta-analysis

J Crit CarePublished Systematic review and Bayesian diagnostic test accuracy network meta-analysis

Authors' conclusion

The best diagnostic accuracy for sepsis was shown by CD64, with a moderate quality of evidence.

Study context

Population
Patients assessed for sepsis (post-2016 redefinition); studies 2016–2023
Participants
34,234 patients · 78 studies
Comparison
Biomarkers vs quick Sequential Organ Failure Assessment (qSOFA) and SIRS criteria for detecting sepsis
Outcome
Diagnostic accuracy for sepsis (superiority index, diagnostic OR)
Methodological detailsbivariate hierarchical random effects arm-based beta-binomial models, multivariable meta-regression, Searches of PubMed, EMBASE and Scopus, January 2016–December 2023
  • Bivariate hierarchical random effects arm-based beta-binomial models
  • Multivariable meta-regression
  • Searches of PubMed, EMBASE and Scopus, January 2016–December 2023

Pooled result

As reported in the abstract

Diagnostic accuracy for sepsis
GroupDiagnostic OR95% CrIQuality of evidence
CD6420.178.39-38.61moderate
sTREM-118.731.31-83.98low
Presepsin10.046.71-14.24low

Diagnostic OR

CD6420.17
sTREM-118.73
Presepsin10.04

95% CrI

CD648.39-38.61
sTREM-11.31-83.98
Presepsin6.71-14.24

Quality of evidence

CD64moderate
sTREM-1low
Presepsinlow

Further pooled results

Sources of heterogeneity (meta-regression)

Significant heterogeneity sources: study design, proportion of sepsis, sample size, risk of bias (patient selection)

Original publication

Comparison of the diagnostic accuracies of various biomarkers and scoring systems for sepsis: A systematic review and Bayesian diagnostic test accuracy network meta-analysis. J Crit Care. Published 16 April 2025. doi:10.1016/j.jcrc.2025.155087

Composed by AI from the published abstract and checked against it. How Briefs are made →

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