Clinical Features Related to Severity and Mortality among COVID-19 Patients in a Pre-Vaccine Period in Luanda, Angola

Autor: Cruz S. Sebastião, Adis Cogle, Alice D’Alva Teixeira, Ana Micolo Cândido, Chissengo Tchoni, Maria João Amorim, N’gueza Loureiro, Paolo Parimbelli, Carlos Penha-Gonçalves, Jocelyne Demengeot, Euclides Sacomboio, Manuela Mendes, Margarete Arrais, Joana Morais, Jocelyne Neto de Vasconcelos, Miguel Brito
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Tropical Medicine and Infectious Disease, Vol 7, Iss 11, p 338 (2022)
Druh dokumentu: article
ISSN: 2414-6366
DOI: 10.3390/tropicalmed7110338
Popis: Background: Infection due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is associated with clinical features of diverse severity. Few studies investigated the severity and mortality predictors of coronavirus disease 2019 (COVID-19) in Africa. Herein, we investigated the clinical features of severity and mortality among COVID-19 patients in Luanda, Angola. Methods: This multicenter cohort study involved 101 COVID-19 patients, between December 2020 and April 2021, with clinical and laboratory data collected. Analysis was done using independent-sample t-tests and Chi-square tests. The results were deemed significant when p < 0.05. Results: The mean age of patients was 51 years (ranging from 18 to 80 years) and 60.4% were male. Fever (46%), cough (47%), gastrointestinal symptoms (26.7%), and asthenia (26.7%), were the most common symptoms. About 64.4% of the patients presented coexistent disorders, including hypertension (42%), diabetes (17%), and chronic renal diseases (6%). About 23% were non-severe, 77% were severe, and 10% died during hospitalization. Variations in the concentration of neutrophil, urea, creatinine, c-reactive protein, sodium, creatine kinase, and chloride were independently associated with severity and/or mortality (p < 0.05). Conclusion: Several factors contributed to the severity and mortality among COVID-19 patients in Angola. Further studies related to clinical features should be carried out to help clinical decision-making and follow-up of COVID-19 patients in Angola.
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