Accuracy of Presepsin in Sepsis Diagnosis: A Systematic Review and Meta-Analysis

Jiayuan Wu1, Liren Hu2, Gaohua Zhang2

  • 1Nutritional Department, The Affiliated Hospital of Guangdong Medical College, Zhanjiang, Guangdong, China.

Plos One
|July 21, 2015
PubMed
Abstract

Insights

This meta-analysis indicates presepsin is a helpful biomarker for early sepsis diagnosis, showing moderate accuracy in distinguishing sepsis from non-sepsis. While valuable, it should not be used as a standalone diagnostic test.

Area of Science:

  • Biomarkers
  • Infectious Diseases
  • Critical Care Medicine

Background:

  • Differentiating sepsis from non-infectious systemic inflammatory response syndrome (SIRS) is challenging due to the lack of definitive infection markers.
  • Soluble CD14 subtype (sCD14-ST), now known as presepsin, has emerged as a potential biomarker for sepsis diagnosis.

Purpose of the Study:

  • To conduct a systematic review and meta-analysis to evaluate the diagnostic accuracy of presepsin in patients with suspected sepsis.
  • To provide a comprehensive estimation of presepsin's utility beyond individual clinical trials.

Main Methods:

  • A systematic electronic literature search was conducted up to December 15, 2014.
  • Methodological quality was assessed using the QUADAS2 tool.
  • Diagnostic accuracy was determined by pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio, and summary receiver operating characteristic (SROC) curve analysis.

Main Results:

  • Nine studies comprising 10 trials with 2159 cases were included.
  • The pooled sensitivity for sepsis was 0.78 (0.76-0.80) and pooled specificity was 0.83 (0.80-0.85).
  • The area under the SROC curve was 0.89, indicating moderate diagnostic accuracy.

Conclusions:

  • Presepsin demonstrates potential as a valuable biomarker for the early diagnosis of sepsis.
  • While presepsin shows some superiority in patient management, its moderate accuracy limits its use as a definitive standalone diagnostic test for sepsis.
  • Results should be interpreted with caution due to identified risks of bias in included trials.