Document Type : New and original researches in the field of Microbiology.
Authors
1
Faculty of Medicine, Fayoum University, Fayoum, Egypt.
2
Critical care department, Faculty of Medicine, Fayoum University Fayoum, Egypt
3
Radiology department, Faculty of Medicine, Fayoum University Fayoum, Egypt
4
Department of Anaesthesia, Pain Management, and Intensive Care, Faculty of Medicine, Fayoum University, Fayoum, Egypt
5
Medical Microbiology and Immunology department, Faculty of Medicine, Fayoum University Fayoum, Egypt
Abstract
Background: The early prediction of COVID-19 mortality is a key in the patient's treatment. Objectives: To assess the parameters that are associated with mortality in COVID-19 patients. Methods: COVID-19 was diagnosed by reverse transcriptase–polymerase chain reaction (RT-PCR) for SARS-CoV-2, from oropharyngeal swabs. Demographic findings, clinical, laboratory, and radiological data were recorded and analyzed. Classification of cases to mild, moderate, or severe was performed according to The World Health Organization Guidelines. Results: Our study involved 66 COVID-19 patients, 48 (72.7%) were classified as severe and 18 (27.3%) as moderate. Male gender represented 60.1% of patients, and 54.5% had one or more medical comorbidities. The outcome of 20 (30%) patients was death. Computerized Tomography Severity Score (CT-SS) (r=0.533, p=0.002), age (r=0.300, p=0.016), comorbidity with a cerebrovascular disease (r=0.479, p=0.013)or cancer (r=0.276, p=0.027). Also, oxygen saturation (r=0.490, p=0.000), and Lactate dehydrogenase (LDH) plasma levels (r=0.525, p=0.006)showed correlations with mortality. Conclusion: Old age, CT Severity Score, elevated LDH, cardiovascular diseases, and cancer were linked with mortality that can aid expecting COVID-19 disease outcome.
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