Risk Categories in COVID-19 Based on Degrees of Inflammation: Data on More Than 17,000 Patients from the Spanish

Manuel Rubio-Rivas1, Xavier Corbella1,2, Francesc Formiga1

  • 1Department of Internal Medicine, Bellvitge University Hospital, Bellvitge Biomedical Research Institute-IDIBELL, University of Barcelona, 08907 Barcelona, Spain.

Insights

This study identified three risk categories for COVID-19 patients based on inflammatory markers and lymphocyte counts. High-risk patients had worse outcomes, including increased need for mechanical ventilation and higher mortality.

Area of Science:

  • COVID-19 Research
  • Inflammatory Markers
  • Patient Stratification

Background:

  • COVID-19 prognosis is significantly influenced by the inflammatory response, often termed a cytokine storm.
  • Early identification of patients at risk for severe outcomes is crucial for timely intervention.

Purpose of the Study:

  • To establish three distinct risk categories for COVID-19 patients upon admission.
  • To utilize inflammatory parameters and lymphocyte counts for risk stratification.

Main Methods:

  • A retrospective cohort study involving 17,122 COVID-19 patients from the Spanish SEMI-COVID-19 Registry.
  • Risk categories (low, intermediate, high) were defined using terciles of total lymphocyte count and admission values of C-reactive protein, lactate dehydrogenase, ferritin, and D-dimer.

Main Results:

  • The high-risk group was older, predominantly male, and exhibited higher rates of pre-existing conditions like hypertension, diabetes, and heart disease.
  • High-risk patients more frequently required advanced respiratory support (high flow nasal cannula, mechanical ventilation), ICU admission, and experienced significantly higher in-hospital mortality.
  • Lymphopenia and elevated inflammatory markers were independent predictors of adverse outcomes.

Conclusions:

  • Three risk categories can be effectively identified using admission lymphopenia and inflammatory markers.
  • This stratification aids in predicting the need for intensive respiratory support, ICU admission, and in-hospital mortality in COVID-19 patients.

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