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Published in: Inflammation Research 10/2017

01-10-2017 | Original Research Paper

Delta neutrophil index (DNI) as a novel diagnostic and prognostic marker of infection: a systematic review and meta-analysis

Authors: Jae Hyon Park, Hyeong Ju Byeon, Keum Hwa Lee, Jong Wook Lee, Andreas Kronbichler, Michael Eisenhut, Jae Il Shin

Published in: Inflammation Research | Issue 10/2017

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Abstract

Objective

Delta neutrophil index (DNI) representing the number of immature granulocytes is an emerging marker used in diagnosis of infections and prediction of mortality in infected patients. The present study evaluated the diagnostic accuracy of DNI as a predictive and prognostic factor in infected patients.

Methods

We performed a PubMed search on January 1st, 2017 and identified studies that evaluated DNI as either a predictive or prognostic factor in infected patients. Studies with appropriate information to construct 2 × 2 contingency tables were extracted. We calculated pooled sensitivity and specificity. Meta-analysis of the multivariate logistic regression data set was performed to assess whether DNI functions as an independent factor.

Results

Overall, 12 articles fulfilled the inclusion criteria and a total of 499 cases and 9549 controls were examined. As a predictive factor of infection, DNI’s pooled sensitivity was 0.67 (95% CI 0.62–0.71, I 2 = 86.0%) and pooled specificity was 0.94 (95% CI 0.94–0.95, I 2 = 92.8%). Area under the receiver operating characteristics (ROC) curve was 0.89. As a prognostic factor for death in infected patients, DNI’s pooled sensitivity was 0.70 (95% CI 0.56–0.81, I 2 = 0.0%) and pooled specificity was 0.78 (95% CI 0.73–0.83, I 2 = 26.6%). Area under the ROC curve was 0.84. Meta-analysis of the multivariate logistic regression data set showed insignificant results.

Conclusions

DNI is a potentially useful diagnostic tool and predicts mortality among infected patients and should be more widely used in the clinical practice.
Appendix
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Metadata
Title
Delta neutrophil index (DNI) as a novel diagnostic and prognostic marker of infection: a systematic review and meta-analysis
Authors
Jae Hyon Park
Hyeong Ju Byeon
Keum Hwa Lee
Jong Wook Lee
Andreas Kronbichler
Michael Eisenhut
Jae Il Shin
Publication date
01-10-2017
Publisher
Springer International Publishing
Published in
Inflammation Research / Issue 10/2017
Print ISSN: 1023-3830
Electronic ISSN: 1420-908X
DOI
https://doi.org/10.1007/s00011-017-1066-y

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