Correlation of lymphocyte subsets and inflammatory biomarkers with disease severity in COVID-19 patients

Khawar Abbas1, Wajiha Musharraf1, Mirza Naqi Zafar1

  • 1Sindh Institute of Urology, and Transplantation (SIUT), Karachi, Pakistan.

Insights

This study found that lower lymphocyte counts and higher inflammatory markers correlate with severe COVID-19. These findings may help predict disease severity in coronavirus disease-2019 patients.

Area of Science:

  • Immunology
  • Virology
  • Clinical Medicine

Background:

  • Coronavirus disease-2019 (COVID-19) poses a significant global health challenge.
  • Understanding the immunological factors associated with disease severity is crucial for patient management.

Purpose of the Study:

  • To investigate the correlation between lymphocyte subsets and serum inflammatory biomarkers with COVID-19 disease severity.
  • To identify potential predictive markers for severe outcomes in COVID-19 patients.

Main Methods:

  • A retrospective study analyzed data from 54 COVID-19 patients categorized into severe (Group A) and non-severe (Group B) groups.
  • Evaluated complete blood count, neutrophil-to-lymphocytes ratio, C-reactive protein, D-Dimers, serum ferritin, lymphocyte subsets (CD3+, CD4+, CD8+, CD19+, NK cells), and serum cytokines (IL-2, IL-4, IL-6, IL-10, TNF-α, IFN-γ).
  • Statistical analysis was performed using SPSS 20 to correlate findings with disease severity.

Main Results:

  • Severe COVID-19 cases showed significantly reduced levels of CD3+, CD4+, CD8+, and CD19+ T lymphocytes compared to non-severe cases.
  • Higher neutrophil-to-lymphocytes ratio was observed in patients who died from severe COVID-19.
  • Serum cytokine levels did not show significant differences between severe and non-severe groups.

Conclusions:

  • Lymphocyte subset depletion and elevated pro-inflammatory markers are associated with increased COVID-19 severity.
  • These immunological changes may serve as indicators for predicting severe disease progression in coronavirus disease-2019.
Abstract