Early predictors of intensive care unit admission among COVID-19 patients in Qatar

Safae Abuyousef1, Shaikha Alnaimi2, Nabil E Omar3,4

  • 1Department of Pharmacy, Heart Hospital, Hamad Medical Corporation, Doha, Qatar.

PubMed

Insights

Early identification of COVID-19 patients needing intensive care unit (ICU) admission is crucial. Cardiovascular disease, diabetes, obesity, lymphopenia, high AST, ferritin, CRP, and dyspnea are key predictors for ICU admission in COVID-19 patients.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Clinical Epidemiology

Background:

  • COVID-19 (Coronavirus Disease 2019) presents significant morbidity and mortality risks.
  • Identifying early indicators for intensive care unit (ICU) admission is vital for patient management.

Purpose of the Study:

  • To investigate early predictors of ICU admission in patients diagnosed with COVID-19.
  • To identify clinical and biochemical markers associated with severe COVID-19 outcomes.

Main Methods:

  • A case-control study design was employed.
  • Adult patients with confirmed COVID-19 were included, with cases defined as those admitted to the ICU.
  • Controls were matched to cases by age and gender.

Main Results:

  • The study included 1,560 patients (780 cases, 780 controls).
  • Independent predictors for ICU admission included cardiovascular disease, diabetes, obesity, lymphopenia, elevated AST, elevated ferritin, elevated C-reactive protein (CRP), and dyspnea.
  • Specific adjusted odds ratios (aOR) and p-values highlight the statistical significance of these predictors.

Conclusions:

  • Cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and elevated AST, ferritin, and CRP are significant independent predictors of ICU admission in COVID-19 patients.
  • These findings can aid in risk stratification and early intervention for severe COVID-19 cases.
Abstract

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