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
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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