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The diagnostic accuracy of presepsin in neonatal sepsis: a meta-analysis.

The diagnostic accuracy of presepsin in neonatal sepsis: a meta-analysis.
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Bellos I, Fitrou G, Pergialiotis V, Thomakos N, Perrea DN, Daskalakis G,


Bellos I, Fitrou G, Pergialiotis V, Thomakos N, Perrea DN, Daskalakis G, (click to view)

Bellos I, Fitrou G, Pergialiotis V, Thomakos N, Perrea DN, Daskalakis G,

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European journal of pediatrics 2018 02 23() doi 10.1007/s00431-018-3114-1
Abstract

There is growing evidence that presepsin is a promising biomarker in the diagnosis of sepsis in adults. The objective of our study is to investigate current evidence related to the diagnostic accuracy of presepsin in neonatal sepsis. To accomplish this, we searched the Medline (1966-2017), Scopus (2004-2017), Clinicaltrials.gov (2008-2017), EMBASE (1980-2017), Cochrane Central Register of Controlled Trials CENTRAL (1999-2017), and Google Scholar (2004-2017) databases. Eleven studies were included in the present meta-analysis, with a total number of 783 neonates. The pooled sensitivity of serum presepsin for the prediction of neonatal sepsis was 0.91 (95% CI [0.87-0.93]) and the pooled specificity was 0.91 (95% CI [0.88-0.94]). The diagnostic odds ratio was 170.28 (95% CI [51.13-567.11]) and the area under the curve (AUC) was 0.9751 (SE 0.0117). Head-to-head comparison with AUC values of C-reactive protein (0.9748 vs. 0.8580) and procalcitonin (0.9596 vs. 0.7831) revealed that presepsin was more sensitive in detecting neonatal sepsis.

CONCLUSION
Current evidence support the use of presepsin in the early neonatal period in high-risk populations as its diagnostic accuracy seems to be high in detecting neonatal sepsis. What is known: • Neonatal sepsis is a leading cause of morbidity and mortality. • Current laboratory tests cannot accurately discriminate endangered neonates. What is new: • The diagnostic odds ratio of presepsin is 170.28 and the area under the curve is 0.9751. • According to our meta-analysis, presepsin is a useful protein that may help clinicians identify neonates at risk.

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