Lymphopenia and lung complications in patients with coronavirus disease-2019 (COVID-19): A retrospective study based

Ehsan Zaboli1, Hadi Majidi2, Reza Alizadeh-Navaei1

  • 1Gastrointestinal Cancer Research Center, Non-Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.

Insights

Lymphopenia (low lymphocyte count) and severe lung involvement on CT scans are linked to higher COVID-19 mortality. These factors together significantly increase the risk of death and prolonged hospitalization for patients.

Area of Science:

  • Medical research
  • Infectious diseases
  • Pulmonology

Background:

  • The COVID-19 pandemic caused by novel coronavirus has led to a global health crisis.
  • Understanding predictors of severe outcomes in COVID-19 patients is crucial for effective management.
  • Lymphopenia and specific computed tomography (CT) scan findings are potential indicators of disease severity.

Purpose of the Study:

  • To investigate the association between lymphopenia, CT scan features, and COVID-19 patient mortality.
  • To identify key indicators for predicting severe outcomes and in-hospital mortality in COVID-19 patients.

Main Methods:

  • Retrospective analysis of clinical data from 596 COVID-19 patients.
  • Evaluation of serological survey results and CT scan features.
  • Statistical analysis to determine the association between lymphopenia, lung involvement, and mortality.

Main Results:

  • Lymphopenia (lymphocyte count < 20%) and severe lung involvement (>50%) on CT scans were significantly associated with increased odds of death (OR, 9.24).
  • These factors impose a multiplicative effect on mortality risk, leading to higher in-hospital mortality rates.
  • Patients with both lymphopenia and severe lung involvement experienced significantly prolonged hospital stays.

Conclusions:

  • Lymphocyte count below 20% and chest CT findings with over 50% involvement are significant indicators of COVID-19 mortality.
  • These indicators can help assess disease severity, predict mortality, and guide patient management.
  • Early identification of these markers may improve patient outcomes and resource allocation during the pandemic.

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