A U-shaped association between baseline neutrophil count and COVID-19-related mortality: A retrospective cohort study

J Med Virol. 2021 Jul;93(7):4265-4272. doi: 10.1002/jmv.26794. Epub 2021 Apr 12.

Abstract

Several descriptive studies have reported that higher neutrophil count (NC) may be correlated with poor prognosis in patients with confirmed COVID-19 infection. However, the findings from these studies are limited by methodology and data analysis. This study is a cohort study. We nonselectively and consecutively collected a total of 663 participants in a Chinese hospital from January 7 to February 28. Standardized and two-piecewise Cox regression model were employed to evaluate the association between baseline neutrophil count (bNC), neutrophil count change rate (NCR), and death. bNC had a U-shaped association with death. In the range of 0.1 to ≤1.49 × 109 /L (hazard ratio [HR] = 0.19, 95% confidence interval [CI] = 0.05-0.66) and >3.55 × 109 /L of bNC (HR = 2.82, 95% CI = 1.19-6.67), the trends on bNC with mortality were opposite. By recursive algorithm, the bNC at which the risk of the death was lower in the range of >1.49 to ≤3.55 × 109 /L (HR = 13.64, 95% CI = 0.25-74.71). In addition, we find that NCRs (NCR1 and NCR2) are not associated with COVID-19-related deaths. Compared with NCR, bNC has the potential to be used for early risk stratification in patients with COVID-19 infection. The relationship between bNC and mortality was U-shaped. The safe range of bNC was 1.64-4.0 × 109 /L. Identifying the correlation may be helpful for early risk stratification and medical decision-making.

Keywords: COVID-19-infection; baseline neutrophil count; change rate; nonlinearity.

Publication types

  • Observational Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19 / immunology*
  • COVID-19 / mortality*
  • China
  • Female
  • Hospitalization / statistics & numerical data
  • Humans
  • Lymphocyte Count
  • Male
  • Middle Aged
  • Neutrophils / immunology*
  • Prognosis
  • Retrospective Studies
  • Risk
  • Risk Factors
  • SARS-CoV-2 / immunology*