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. 2016 Dec 12;5(1):2091.
doi: 10.1186/s40064-016-3591-5. eCollection 2016.

Biomarkers for diagnosis of sepsis in patients with systemic inflammatory response syndrome: a systematic review and meta-analysis

Yong Liu #  1 , Jun-Huan Hou #  2   3 , Qing Li  2   3 , Kui-Jun Chen  2   3 , Shu-Nan Wang  4 , Jian-Min Wang  2   3
Affiliations

Biomarkers for diagnosis of sepsis in patients with systemic inflammatory response syndrome: a systematic review and meta-analysis

Yong Liu et al. Springerplus. .

Abstract

Background: Sepsis is one of the most common diseases that seriously threaten human health. Although a large number of markers related to sepsis have been reported in the last two decades, the diagnostic accuracy of these biomarkers remains unclear due to the lack of similar baselines among studies. Therefore, we conducted a large systematic review and meta-analysis to evaluate the diagnostic value of biomarkers from studies that included non-infectious systemic inflammatory response syndrome patients as a control group.

Methods: We searched Medline, Embase and the reference lists of identified studies beginning in April 2014. The last retrieval was updated in September 2016.

Results: Ultimately, 86 articles fulfilled the inclusion criteria. Sixty biomarkers and 10,438 subjects entered the final analysis. The areas under the receiver operating characteristic curves for the 7 most common biomarkers, including procalcitonin, C-reactive protein, interleukin 6, soluble triggering receptor expressed on myeloid cells-1, presepsin, lipopolysaccharide binding protein and CD64, were 0.85, 0.77, 0.79, 0.85, 0.88, 0.71 and 0.96, respectively. The remaining 53 biomarkers exhibited obvious variances in diagnostic value and methodological quality.

Conclusions: Although some biomarkers displayed moderate or above moderate diagnostic value for sepsis, the limitations of the methodological quality and sample size may weaken these findings. Currently, we still lack an ideal biomarker to aid in the diagnosis of sepsis. In the future, biomarkers with better diagnostic value as well as a combined diagnosis using multiple biomarkers are expected to solve the challenge of the diagnosis of sepsis.

Keywords: Biomarkers; Diagnosis; Meta-analysis; Sepsis; Systemic inflammatory response syndrome.

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Figures

Fig. 1
Fig. 1
Flow diagram of the study selection
Fig. 2
Fig. 2
Funnel plots for detection of publication bias of PCT (a), CRP (b) and IL-6 (c)
See this image and copyright information in PMC

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