• Xin Zhang, Dan Liu, You-Ning Liu, Rui Wang, and Li-Xin Xie.
• Department of Pulmonary & Critical Care Medicine, General Hospital of Chinese People's Liberation Army, 28 Fuxing Road, Beijing, 100853, PR China. zx115@foxmail.com.
• Crit Care. 2015 Jan 1;19:323.

IntroductionThe early diagnosis of sepsis remains a challenge. Recently, soluble cluster of differentiation 14 subtype (sCD14-ST), also known as presepsin, has been identified as a potential biomarker of sepsis. We performed a meta-analysis to assess the diagnostic accuracy of presepsin for sepsis in patients with systemic inflammation.MethodsWe systematically searched the PubMed, Embase, Web of Knowledge and Cochrane databases. Studies were included if they assessed the diagnostic accuracy of presepsin for sepsis in adult patients with systemic inflammatory response syndrome (SIRS). Furthermore, a 2 × 2 contingency table was constructed based on these results. Two authors independently judged the studies and extracted the data. The diagnostic accuracy of presepsin in sepsis was calculated using a bivariate meta-analysis model. The Q-test and I (2) index were used to test the heterogeneity.ResultsEight studies involving a total of 1,815 patients were included in the present study. The pooled sensitivity, specificity, diagnostic odds ratio, positive likelihood ratio and negative likelihood ratio were 0.86 (95% CI: 0.79-0.91), 0.78 (95% CI: 0.68-0.85), 22 (95% CI: 10-48), 3.8 (95% CI: 2.6-5.7), and 0.18 (95% CI: 0.11-0.28), respectively. The area under the summary receiver operator characteristic curve was 0.89 (95% CI: 0.86-0.92). Meta-regression analysis revealed that consecutive patient selection, sample size and setting significantly accounted for the heterogeneity of sensitivity.ConclusionsOur findings suggest that presepsin exhibits very good diagnostic accuracy (AUC=0.89) for the diagnosis for sepsis. Nevertheless, an overall assessment of all the clinical indexes for sepsis diagnosis and continual re-evaluation of presepsin during the course of the disease are needed.

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