Value of the Neutrophil-Lymphocyte Ratio in Predicting COVID-19 Severity: A Meta-analysis

Ying Wang1, Jingyi Zhao2, Lan Yang3

  • 1Department of Pharmacy, The Affiliated Hospital of Chengde Medical College, Chengde 067000, China.

Disease Markers
|October 15, 2021
PubMed

Insights

The neutrophil-lymphocyte ratio (NLR) can accurately indicate the severity of Coronavirus disease 2019 (COVID-19). This finding aids in identifying severe COVID-19 cases for better clinical decisions.

Area of Science:

  • Infectious Diseases
  • Hematology
  • Medical Diagnostics

Background:

  • Coronavirus disease 2019 (COVID-19) is a highly contagious and rapidly spreading illness.
  • Current laboratory techniques for determining COVID-19 severity are limited in simplicity and timeliness.
  • The neutrophil-lymphocyte ratio (NLR) is investigated as a potential severity indicator.

Purpose of the Study:

  • To assess the diagnostic performance of the neutrophil-lymphocyte ratio (NLR) in distinguishing severe from non-severe COVID-19 cases.
  • To evaluate the NLR's potential as a simple and timely laboratory marker for COVID-19 severity.

Main Methods:

  • A systematic meta-analysis was conducted on 30 studies comprising 5570 patients.
  • Studies published between January 1, 2020, and July 1, 2021, were sourced from PubMed, EMBASE, and Cochrane Library.
  • Statistical analyses included pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratio (DOR), and area under the curve (AUC).

Main Results:

  • The analysis included 1603 severe and 3967 non-severe COVID-19 cases.
  • Overall sensitivity was 0.82 (95% CI, 0.77-0.87) and specificity was 0.77 (95% CI, 0.70-0.83).
  • The diagnostic odds ratio (DOR) was 16 (95% CI, 10-24) and the area under the curve (AUC) was 0.87 (95% CI, 0.84-0.90).

Conclusions:

  • The neutrophil-lymphocyte ratio (NLR) demonstrates significant accuracy in determining COVID-19 severity.
  • NLR can serve as a valuable tool for identifying patients with severe COVID-19.
  • This indicator can assist clinicians in making informed treatment decisions.
Abstract

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