Analysis of absolute lymphocyte count in patients with COVID-19

Am J Emerg Med. 2021 Aug:46:16-19. doi: 10.1016/j.ajem.2021.02.054. Epub 2021 Mar 2.

Abstract

Introduction: Symptoms of COVID-19 vary in severity and presentation. When admitting patients to the hospital, it is desirable to isolate patients with COVID-19 from those without the disease. However, reliably identifying patients with COVID-19 in the emergency department before hospital admission is often limited by the speed and availability of testing. Previous studies determined a low lymphocyte count is commonly found in patients with COVID-19. We sought to explore the sensitivity of absolute lymphocyte count in patients presenting to the emergency department requiring subsequent hospitalization who were found to have COVID-19.

Methods: A retrospective chart review was performed on 312 patients with laboratory-confirmed COVID-19 who were admitted to the hospital from the emergency department. The absolute lymphocyte count for these patients was used to calculate sensitivities at various cut-off values. The relationships between absolute lymphocyte count and variables, including age, sex, need for intubation, and mortality, were also explored.

Results: Cut-off values for absolute lymphocyte count ranged from 1.1 K/uL to 2.0 K/uL, with sensitivities of 72% and 94%, respectively. Additionally, lower mean absolute lymphocyte counts were identified in males, patients who required intubation, and patients who died.

Conclusion: Knowing the sensitivity of absolute lymphocyte count in patients with COVID-19 may help identify patients who are unlikely to have the disease. Additionally, absolute lymphocyte count can be used as a marker of disease severity in patients with COVID-19.

Keywords: Absolute lymphocyte count; COVID-19; Coronavirus; Lymphopenia.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers / blood
  • COVID-19 / blood*
  • COVID-19 / epidemiology
  • Emergency Service, Hospital / statistics & numerical data*
  • Female
  • Hospitalization / trends*
  • Humans
  • Intensive Care Units / statistics & numerical data*
  • Lymphocyte Count
  • Male
  • Middle Aged
  • Pandemics
  • Retrospective Studies
  • United States / epidemiology
  • Young Adult

Substances

  • Biomarkers