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Published on: September 24, 2020
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.
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.
Background:
COVID-19 is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission among patients with COVID-19.
Methods:
This was a case-control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29-May 29, 2020. For each case enrolled, one control was matched by age and gender.
Results:
A total of 1,560 patients with confirmed COVID-19 were included. Each group included 780 patients with a predominant male gender (89.7%) and a median age of 49 years (interquartile range = 18). Predictors independently associated with ICU admission were cardiovascular disease (adjusted odds ratio (aOR) = 1.64, 95% confidence interval (CI): 1.16-2.32, p = 0.005), diabetes (aOR = 1.52, 95% CI: 1.08-2.13, p = 0.016), obesity (aOR = 1.46, 95% CI: 1.03-2.08, p = 0.034), lymphopenia (aOR = 2.69, 95% CI: 1.80-4.02, p < 0.001), high AST (aOR = 2.59, 95% CI: 1.53-4.36, p < 0.001), high ferritin (aOR = 1.96, 95% CI: 1.40-2.74, p < 0.001), high CRP (aOR = 4.09, 95% CI: 2.81-5.96, p < 0.001), and dyspnea (aOR = 2.50, 95% CI: 1.77-3.54, p < 0.001).
Conclusion:
Having cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19.
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