Diagnostic accuracy of neutrophil CD64 expression in neonatal infection: a meta-analysis

J Int Med Res. 2013 Aug;41(4):934-43. doi: 10.1177/0300060513489799. Epub 2013 Jul 18.

Abstract

Objective: The aim of the present study was to establish the predictive values of neutrophil CD64 expression in diagnosing neonatal infection.

Methods: A comprehensive search of the PubMed and EmbaseĀ® literature databases identified outcome data from published studies estimating the diagnostic accuracy of neutrophil CD64 expression for neonatal infection. Summary estimates for sensitivity, specificity, diagnostic odds ratios (DOR) and the area under the summary receiver operating characteristic curve (AUC) were calculated using a bivariate random-effects approach.

Results: Twelve studies including 1915 neonates were analysed. Summary estimates (95% confidence intervals) for CD64 expression in the diagnosis of neonatal infection were: sensitivity, 0.78 (0.75, 0.81); specificity, 0.81 (0.78, 0.83); DOR, 21.27 (11.71, 38.65); positive-likelihood ratio, 4.53 (3.22, 6.36); negative-likelihood ratio, 0.23 (0.14, 0.37); AUC, 0.89.

Conclusions: Neutrophil CD64 expression can be used as an additional test in the diagnosis of neonatal infection. Results of a CD64 assay should not be used alone to diagnose such infections, but should be interpreted in combination with other test results and clinical findings.

Keywords: CD64; Neonatal infection; diagnosis; meta-analysis.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bacteremia / diagnosis*
  • Bacteremia / genetics
  • Bacteremia / immunology
  • Bacteremia / pathology
  • Bacterial Infections / diagnosis*
  • Bacterial Infections / genetics
  • Bacterial Infections / immunology
  • Bacterial Infections / pathology
  • Biomarkers / metabolism
  • Databases, Bibliographic
  • Gene Expression
  • Humans
  • Infant, Newborn
  • Neutrophils / immunology*
  • Neutrophils / pathology
  • Odds Ratio
  • Prognosis
  • ROC Curve
  • Receptors, IgG / genetics
  • Receptors, IgG / immunology*

Substances

  • Biomarkers
  • Receptors, IgG