RESUMO
INTRODUCTION: Coronavirus disease 2019 (COVID-19), a highly transmissible viral infection has spread worldwide causing exponential increase in morbidity and mortality. But so far, there is limited information available to describe the presenting characteristics, outcomes and treatment modalities of COVID-19 patients in Nigeria. This study aimed to describe the demographic and clinical characteristics, underlying comorbidities, treatment modalities and outcomes of patients isolated and treated in a repurposed COVID-19 isolation and treatment centre in Abuja, Nigeria. MATERIALS AND METHODS: A retrospective study which reviewed the medical records of 300 confirmed COVID-19 patients isolated and treated according to the World Health Organisation and Nigeria Centre for Disease Control guidelines between 22nd July and 26th October, 2020 in ThisDay Dome Isolation and Treatment Centre. Data collected from the medical records include demographics, clinical features, treatment measures and outcomes. RESULTS: Out of 300 patients studied, 61.0% were male. The mean age of the participants was 38.2 ± 14.7. Less than half of the patients (40.3%) had one or more underlying comorbidities with hypertension the most common co-morbidity. Majority (62%) of patients were mildly symptomatic, 33% were asymptomatic while only 2% were severely symptomatic. The most common presenting symptoms include cough 34.0%, fever 30.3%, anosmia 28.7% and dysgeusia 22.7%. Older age (P < 0.001), tertiary education and the presence of underlying comorbidity (P < 0.001) were significantly associated with symptomatic presentation of COVID-19. The median duration of time between positive laboratory testing and presentation for treatment was 5 days (0-29). All patients were treated with a combination of Ivermectin, Azithromycin, Zinc and Vitamin C with no recorded death. The median length of stay at facility was 9 days. CONCLUSION: Close attention should be given to patients with co-morbidities as an inefficient management of such co-morbidities could lead to mortalities which may not be directly attributable to COVID-19.