The diagnostic and prognostic role of neutrophil-to-lymphocyte ratio in COVID-19: a systematic review and meta-analysis

Expert Rev Mol Diagn. 2021 May;21(5):505-514. doi: 10.1080/14737159.2021.1915773. Epub 2021 Apr 25.

Abstract

Background: The world urgently requires surrogate markers to diagnose COVID-19 and predict its progression. The severity is not easily predicted via currently used biomarkers. Critical COVID-19 patients need to be screened for hyperinflammation to improve mortality but expensive cytokine measurement is not routinely conducted in most laboratories. The neutrophil-to-lymphocyte ratio (NLR) is a novel biomarker in patients with various diseases. We evaluated the diagnostic and prognostic accuracy of the NLR in COVID-19 patients.Methods: We searched for relevant articles in seven databases. The quantitative analysis was conducted if at least two studies were evaluating the NLR role in COVID-19.Results: We included 8,120 individuals, including 7,482 COVID-19 patients, from 32 articles. Patients with COVID-19 had significantly higher levels of NLR compared to negative individuals. Advanced COVID-19 stages had significantly higher levels of NLR than earlier stages.Expert Opinion: We found significantly higher levels of NLR in advanced stages compared to earlier stages of COVID-19 with good accuracy to diagnose and predict the disease outcome, especially mortality prediction. A close evaluation of critical SARS-CoV-2 patients and efficient early management are essential measures to decrease mortality. NLR could help in assessing the resource allocation in severe COVID-19 patients even in restricted settings.

Keywords: Neutrophil-to-lymphocyte ratio – covid-19 – coronavirus – diagnosis – prognosis – systematic review – meta-analysis.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adult
  • Aged
  • COVID-19 / blood*
  • COVID-19 / etiology
  • COVID-19 / mortality*
  • Female
  • Humans
  • Leukocyte Count
  • Lymphocyte Count*
  • Male
  • Middle Aged
  • Neutrophils*
  • Prognosis
  • Sensitivity and Specificity
  • Severity of Illness Index

Grants and funding

This paper was not funded.