Skip to main content
Elsevier - PMC COVID-19 Collection logoLink to Elsevier - PMC COVID-19 Collection
. 2020 Aug 15;22:862–863. doi: 10.1016/j.jgar.2020.07.029

Neutrophil-to-Lymphocyte ratio as a potential biomarker for disease severity in COVID-19 patients

Shaghayegh Haghjooy Javanmard a, Golnaz Vaseghi b, Amirreza Manteghinejad a, Maryam Nasirian c,
PMCID: PMC7428697  PMID: 32810639

Highlights

  • Controlling age and sex, NLR>6.5 increases the chance of disease severity by 4 times.

  • NLR>6.5 increases the chance of death about 1.8 times after age and sex adjustments.

  • The average value of WBC among severe patients was higher than non-severe.

Keywords: Neutrophil-to-Lymphocyte ratio; NLR, Covid-19; Severity


Sir,

The global spread of novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a threat to the world on a pandemic scale. Without an available effective vaccine and specific treatment, finding the best solutions for patient management is urgently needed. Looking for differences between vulnerable patients who are severely affected and those with non-severe symptoms is necessary for risk-stratified care management, especially during an emergency, and for forecasting intensive care unit (ICU) requirement. For example, it has been proposed that patients with neutrophil-to-lymphocyte ratio (NLR) of <3 may have a better clinical outcome, whereas NLR > 4 is a predictor of ICU admission [1].

In the search for a reliable prognostic marker of disease severity, we have also investigated the clinical features and laboratory findings of COVID-19 patients with confirmed positive reverse transcription PCR (RT-PCR) from affiliated hospitals of Isfahan University of Medical Sciences, Isfahan, Iran. Isfahan Province, with a population of ca. 5 million, has become one of the worst infected parts of Iran [2]. A total of 508 COVID-19 patients (59% male) were included in this study, among which 9.7% were in severe status with a partial pressure of oxygen (pO2) of <93% and receiving mechanical ventilation. The mean age of severe patients (67.7 ± 15.1 years) was significantly higher than non-severe patients (56.8 ± 17.1 years) (P  < 0.0001). Approximately 39% of patients had at least one underlying disease or disorder. Coronary vascular disease and diabetes mellitus were more common in severe patients, although this was not significantly different from mild cases (P  > 0.05). The death rate in severe patients was significantly higher than the other cases (60% vs. 4.1%; P  < 0.0001).

The average white blood cell (WBC) count in severe patients (9205 cells/mm3) was significantly higher than in non-severe cases (5963 cells/mm3) (P  < 0.0001). The WBC count was >10 000 cells/mm3 in 29.5% of severe cases and 8.6% of non-severe cases (P  < 0.0001), whilst the rate of WBC count <4000 cells/mm3 among moderate patients was 23% in contrast to zero in severe patients. The average lymphocyte count did not differ between severe patients (1409 cells/mm3) and non-severe patients (P  = 0.4093). In 7.3% of severe patients the lymphocyte count was >4000 cells/mm3 compared with 1.1% in non-severe patients (P  = 0.003). The percentage of lymphocyte counts <1000 cells/mm3 was not different between the two groups (P  = 0.286). In 26.8% of severe patients the neutrophil count was >8000/mm3 compared with 8.4% in non-severe patients (P  = 0.003). However, the percentage of neutrophil count <2500/mm3 in non-severe patients was 21.4% in contrast to zero in severe patients. The percentage of NLR > 6.5 differed significantly between the two groups (56.1% in severe vs. 20.0% in non-severe patients; P  < 0.0001), however patients with NLR in the range 3.5–6.5 did not differ (P  = 0.362). C-reactive protein was ≥10 mg/L in 84.9% all of patients, with no significant difference between groups (P  = 0.552). The odds of NLR > 6.5 associated with the severity of disease in patients aged ≥70 years was almost twice that of others, whilst patient sex had no significant effect. The odds of NLR > 6.5 associated with death was 1.44 [95% confidence interval (CI) 1.82–2.07] (P  < 0.0001). Regarding adjustment for age and sex, the odds of disease severity in patients with WBC count >10 000 cells/mm3 and lymphocyte count >4000 cells/mm3 were 4 and 6 times more than other patients, respectively. NLR > 6.5 increased the odds of severity by 5 times and the odds of death were 1.76 (95% CI 1.02–2.46) after adjustment for age and sex (P  < 0.0001) (Table 1 ).

Table 1.

Factors associated with disease severity of COVID-19.

Factor Odds ratio (severe vs. non-severe)
Univariate OR (95% CI) P-value Adjusted for age and sex OR (95% CI) P-value
Age (≥70 years vs. <70 years) 2.17 (1.45–5.02) 0.002
Male sex (vs. female) 0.78 (0.42–1.44) 0.431
WBC count > 10000 cell/mm3 4.43 (2.14–9.14) <0.0001 3.98 (1.89–8.37) <0.0001
Lymphocyte count >4000 cells/mm3 6.91 (1.51–30.1) 0.010 5.85 (1.29–26.3) 0.021
Neutrophil count >8000/mm3 3.99 (1.85–8.61) <0.0001 3.66 (1.66–8.03) 0.001
NLR > 6.5 5.11 (2.64–9.88) <0.0001 4.99 (2.47–10.7) <0.0001

CO, confidence interval; WBC, white blood cell; NLR, neutrophil-to-lymphocyte ratio.

In line with our results, increased NLR at admission is common in patients with COVID-19 and an independent risk factor for in-hospital mortality [3]. It could be speculated that the progress phase of the disease is the result of direct virus attack and injury caused by the cytokine storm. Liu et al. have reported that loss of T-cells in severe COVID-19 cases is associated with the magnitude of the cytokine storm [4]. Another favoured hypothesis for lymphopenia in COVID-19 patients could be infiltration of lymphocytes into the pulmonary tissue induced by local inflammation and pyroptosis of infected cells [5]. It seems that NLR monitoring is helpful both for early screening of severe COVID-19 cases as well as tracking therapeutic interventions.

In conclusion, the current study supports that NLR may be a rapid, easy and therefore favoured point-of-care test for patient stratification and an efficient tool for prioritisation of healthcare system resources.

Funding

None.

Competing interests

None declared.

Ethical approval

Not required.

References

  • 1.Ciccullo A., Borghetti A., Zileri Dal Verme L., Tosoni A., Lombardi F., Garcovich M. GEMELLI AGAINST COVID Group. Neutrophil-to-lymphocyte ratio and clinical outcome in COVID-19: a report from the Italian front line. Int J Antimicrob Agents. 2020;56:106017. doi: 10.1016/j.ijantimicag.2020.106017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Javanmard S.H., Nasirian M., Ataei B., Vaseghi G., Vaezi A., Changiz T. Isfahan COvid-19 REgistry (I-CORE): design and methodology. J Res Med Sci. 2020;25:32. doi: 10.4103/jrms.JRMS_271_20. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu Y., Du X., Chen J., Jin Y., Peng L., Wang H.H.X. Neutrophil-to lymphocyte ratio as an independent risk factor for mortality in hospitalized patients with COVID-19. J Infect. 2020;81:e6–e12. doi: 10.1016/j.jinf.2020.04.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Liu J., Li S., Liu J., Liang B., Wang X., Wang H. Longitudinal characteristics of lymphocyte responses and cytokine profiles in the peripheral blood of SARS-CoV-2 infected patients. EBioMedicine. 2020;55:102763. doi: 10.1016/j.ebiom.2020.102763. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Wang Y., Tong J., Qin Y., Xie T., Li J., Li J. Characterization of an asymptomatic cohort of SARS-COV-2 infected individuals outside of Wuhan, China. Clin Infect Dis. 2020 doi: 10.1093/cid/ciaa629. May 22 [Epub ahead of print] [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Global Antimicrobial Resistance are provided here courtesy of Elsevier

RESOURCES