Prevalence of pneumonia by chest x-ray, associated demographic characteristics and health risk factors among COVID-19 patients in Ghana.

OBJECTIVE: The study was conducted to determine the prevalence of radiologically diagnosed pneumonia among COVID-19 patients and associated factors. DESIGN SETTING AND PARTICIPANTS: A retrospective manual data extraction of 275 medical records of COVID-19 patients was conducted at two COVID-19 national treatment centres in Accra from March to May 2020. All patients had a chest x-ray done. MAIN OUTCOME AND ANALYSIS: The main outcome was the presence of pneumonia. Descriptive statistics and Chi-square test of independence were employed to determine the associations between independent variables and the presence of pneumonia. All analysis was performed using Stata 16, and a p-value ≤ 0.05 was deemed significant. RESULTS: The prevalence of pneumonia was 44%(95%CI) =38.2-50.0). Chi-square independent test indicated that pneumonia in the COVID-19 patients was associated with educational level, history of domestic and international travel, mass gathering in the past 14 days before diagnosis, and discharge plan (p-value< 0.05). Patients classified as secondary cases (61.5%) and those discharged as fully recovered from the health facility (61.2%) had a higher prevalence of pneumonia. In addition, COVID-19 patients with hypertension (32.1%) and asthma (5.2%) had a significantly higher prevalence of pneumonia. CONCLUSION: Overall, the prevalence of pneumonia was 44% and was associated with the demographic and personal characteristics of the patients. Early detection through contact tracing and community surveillance should be intensified to pick up more asymptomatic cases. The role of the chest x-ray for triaging patients and for clinical management of symptomatic patients remains key. FUNDING: None declared.

Clinical features of COVID-19 in Ghana: symptomatology, illness severity and comorbid non-communicable diseases.

OBJECTIVE: This analysis described the clinical features of COVID-19 in the early phase of the pandemic in Ghana. METHODS: Data were extracted from two national COVID-19 treatment centers in Ghana for over 11 weeks(from March to May 2020). Descriptive and inferential statistics were performed. Modified Ordered Logistic and Negative Binomial Regression analysis were applied to establish factors associated with illness severity and Non-communicable Disease (NCDs) counts respectively. All analysis was conducted at the 95% confidence level (p-value ≤ 0.05) using Stata 16. RESULTS: Among the 275 patients, the average age was 40.7±16.4, with a preponderance of males (54.5%). The three commonest symptoms presented were cough (21.3%), headache (15.7%), and sore throat (11.7%). Only 7.6% of the patients had a history of fever. Most patients were asymptomatic (51.65). Approximately 38.9% have an underlying co-morbid NCDs, with Hypertension (32.1%), Diabetes (9.9%), and Asthma (5.2%) being the three commonest. The odds of Moderate/severe (MoS) was significantly higher for those with unknown exposures to similar illness [aOR(95%CI) = 4.27(1.12-10.2)] compared with non-exposure to similar illness. An increased unit of NCD's count significantly increased the odds of COVID-19 MoS illness by 26%[cOR(95%CI) =1.26(1.09-1.84)] and 67% (adjusting for age) [aOR(95%CI)=1.67(1.13-2.49)]. CONCLUSION: The presence of cardiovascular co-morbidities dictated the frequency of reported symptoms and severity of COVID-19 infection in this sample of Ghanaians. Physicians should be aware of the presence of co-morbid NCDs and prepare to manage effectively among COVID-19 patients. FUNDING: None declared.