Abstract

Background: The new coronavirus disease 2019 (COVID-19) emerged in Wuhan, China, in December 2019. Researchers described COVID-19 mortality risk factors as being elderly, male, having comorbidities, and in some ethnicities. Some authors validated the use of first chest x-ray (CXR) severity scores (CSE) as an independent indicator of poor outcomes with COVID-19. Our objective was to evaluate the clinical and CXR findings as predictors of poor outcomes (death, needing intubation, Intensive Care Unit (ICU) admission) in patients with COVID-19. Methods: We performed a retrospective study of case-controls using a sample size of 60 patients admitted with the diagnosis of COVID-19 during the period of July-August 2020 to the Cuban Hospital in Qatar, as determined with the free online OpenEpi software (https://www.openepi.com/SampleSize/SSCC.htm). We defined cases as patients with a complication like death, needing intubation, ICU admission, or organ failure, and controls as patients who did not demonstrate the described complications. The dependent variables used were patient evolution divided into poor outcome or good outcome. The independent variables used were age, history of diabetes mellitus type II, and high blood pressure (HBP), CSE, and white blood count (WBC). The bivariate analysis was performed using the Chi-Square test or Fisher exact test. Multivariate analysis was done using binary logistic regression (IBM SPSS software 25). The results are expressed in Odds Ratio with p-value < 0.05 defined as statistically significant. Results: The bivariate analysis showed being older, having a history of HBP, diabetes, abnormal WBC, and high CSE were linked to poor outcome (p < 0.05) . The multivariate analysis defined WBC and CSE with independent influence over the patient evolution . Conclusion: We demonstrated that the value of WBC and CSE are predictors of poor outcome in patients with COVID-19. WBC increases the possibility of the described complications in COVID-19 patients 68,634 times and CSE 12,201 times.

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