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­Revisit Eosinopenia as a Biomarker for Diagnosis of Sepsis: A Meta-Analysis

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Abstract BackgroundSepsis is a life-threatening and time-critical medical emergency, therefore, the early diagnosis of sepsis is essential to timely treatment and favorable outcomes for patients susceptible to sepsis. Eosinopenia has been identified as a potential biomarker of sepsis in the past decade. So, we performed a meta-analysis to assess the diagnostic efficacy of eosinopenia for sepsis.MethodWe searched PubMed, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials CENTRAL databases to identify studies that met the inclusion criteria. Two authors performed data extraction independently. The pooled outcomes were calculated by TP (true positive), FP (false positive), FN (false negative), TN (true negative) by using bivariate meta-analysis model in STATA 14.0 software. ResultsSeven studies were included in the present study with a total number of 3842 subjects. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were 0.66 (95%CI [0.53-0.77]), 0.68 (95%CI [0.56-0.79]), 2.09 (95%CI [1.44-3.02]), 0.49 (95%CI [0.34-0.71]) and 4.23 (95%CI [2.15-8.31]), respectively. The area under the summary receiver operator characteristic curve (SROC) was 0.73 (95%CI [0.68-0.76]). Meta-regression analysis revealed that no single parameter accounted for the heterogeneity of pooled outcomes. For each subgroup of different eosinopenia cutoff values (50, 40, <=25, 100), the sensitivity was 0.61, 0.79, 0.57, 0.54, and the specificity was 0.61, 0.75, 0.83, 0.51, respectively. ConclusionsOur findings suggest that eosinopenia shows no superiority in the diagnosis of sepsis. Further large clinical trials are needed to re-evaluate eosinopenia as a biomarker of sepsis.
Springer Science and Business Media LLC
Title: ­Revisit Eosinopenia as a Biomarker for Diagnosis of Sepsis: A Meta-Analysis
Description:
Abstract BackgroundSepsis is a life-threatening and time-critical medical emergency, therefore, the early diagnosis of sepsis is essential to timely treatment and favorable outcomes for patients susceptible to sepsis.
Eosinopenia has been identified as a potential biomarker of sepsis in the past decade.
So, we performed a meta-analysis to assess the diagnostic efficacy of eosinopenia for sepsis.
MethodWe searched PubMed, EMBASE, Web of Science, and Cochrane Central Register of Controlled Trials CENTRAL databases to identify studies that met the inclusion criteria.
Two authors performed data extraction independently.
The pooled outcomes were calculated by TP (true positive), FP (false positive), FN (false negative), TN (true negative) by using bivariate meta-analysis model in STATA 14.
0 software.
ResultsSeven studies were included in the present study with a total number of 3842 subjects.
The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio were 0.
66 (95%CI [0.
53-0.
77]), 0.
68 (95%CI [0.
56-0.
79]), 2.
09 (95%CI [1.
44-3.
02]), 0.
49 (95%CI [0.
34-0.
71]) and 4.
23 (95%CI [2.
15-8.
31]), respectively.
The area under the summary receiver operator characteristic curve (SROC) was 0.
73 (95%CI [0.
68-0.
76]).
Meta-regression analysis revealed that no single parameter accounted for the heterogeneity of pooled outcomes.
For each subgroup of different eosinopenia cutoff values (50, 40, <=25, 100), the sensitivity was 0.
61, 0.
79, 0.
57, 0.
54, and the specificity was 0.
61, 0.
75, 0.
83, 0.
51, respectively.
ConclusionsOur findings suggest that eosinopenia shows no superiority in the diagnosis of sepsis.
Further large clinical trials are needed to re-evaluate eosinopenia as a biomarker of sepsis.

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