Clinical profile and factors associated with COVID-19 in Yaounde, Cameroon: A prospective cohort study
Autor: | Aristide Nkengni, Landry Bonyomo, Patrick Ouamba, Charlotte Moussi, Engelbert Ngono Ngono, Steve Metomb, Yap Boum, Gregory Halle-Ekane, Sauvia Noumedem Sosso, Sylvester Ndeso Atanga, Patrick Tchatchoua, Justin Eyong, Sylvie Tossoukpe, Franck Ale, Modeste Tamakloe, Moussa Ousman, Emilienne Epée, Lazare Mbala Ntsama, Marcel Mbarga, Nicole Fouda Mbarga, Jessica E. Haberer, Herwin Nanda, Noel Vogue, Dorian Job, Joseph Guekeme |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Male
Viral Diseases Epidemiology HIV Infections Comorbidity 030204 cardiovascular system & hematology Cohort Studies Geographical Locations Medical Conditions Endocrinology 0302 clinical medicine Hyposmia Case fatality rate Medicine and Health Sciences Cameroon Prospective Studies 030212 general & internal medicine Prospective cohort study Fatigue Multidisciplinary Respiratory distress Middle Aged Hospitals Hospitalization Infectious Diseases Medicine Female medicine.symptom Research Article Cohort study Adult medicine.medical_specialty Endocrine Disorders Science 03 medical and health sciences Signs and Symptoms Internal medicine Diabetes Mellitus medicine Humans Pandemics Aged SARS-CoV-2 business.industry COVID-19 Covid 19 Odds ratio medicine.disease Health Care Pneumonia Dyspnea Age Groups Health Care Facilities Metabolic Disorders Medical Risk Factors People and Places Africa Population Groupings Clinical Medicine business |
Zdroj: | PLoS ONE, Vol 16, Iss 5, p e0251504 (2021) PLoS ONE |
ISSN: | 1932-6203 |
Popis: | Background A year after the COVID-19 pandemic started, there are still few scientific reports on COVID-19 in Africa. This study explores the clinical profiles and factors associated with COVID-19 in Cameroon. Materials and methods In this prospective cohort study, we followed patients admitted for suspicion of COVID-19 at Djoungolo Hospital between 01st April and 31st July 2020. Patients were categorised by age groups and disease severity: mild (symptomatic without clinical signs of pneumonia), moderate (with clinical signs of pneumonia without respiratory distress) and severe cases (clinical signs of pneumonia and respiratory distress not requiring invasive ventilation). Demographic information and clinical features were summarised. Multivariable analysis was performed to predict risk. Findings A total of 313 patients were admitted during the study period; 259 were confirmed cases of COVID-19 by Polymerase Chain Reaction (PCR). Among the confirmed cases, the male group aged 40 to 49 years (13.9%) was predominant. Disease severity ranged from mild (26.2%; n = 68) to moderate (59%; n = 153) to severe (14.7%; n = 38); the case fatality rate was 1% (n = 4). Dysgusia (46%; n = 119) and hyposmia/anosmia (37.8%; n = 98) were common features of COVID-19. Nearly one-third of patients had comorbidities (29%; n = 53), of which hypertension was the most common (18.9%; n = 49). Participation in mass gatherings (Odds Ratio (OR) = 2.37; P = 0.03) and dysgusia (OR = 2.09, P = 0.02) were predictive of diagnosis of COVID-19. Age groups 60 to 69 (OR = 7.41; P = 0.0001), 50 to 59 (OR = 4.09; P = 0.03), 40 to 49 (OR = 4.54; P = 0.01), male gender (OR = 2.53; P = 0.04), diabetes (OR = 4.05; P = 0.01), HIV infection (OR = 5.57; P = 0.03), lung disease (OR = 6.29; P = 0.01), dyspnoea (OR = 3.70; P = 0.008) and fatigue (OR = 3.35; P = 0.02) significantly predicted COVID-19 severity. Conclusions Most COVID-19 cases in this study were benign with low fatality. Age (40–70), male gender, HIV infection, lung disease, dyspnoea and fatigue are associated with severe COVID-19. Such findings may guide public health decision-making. |
Databáze: | OpenAIRE |
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