Assessment of the hematological profiles among COVID-19 patients during the first and second waves in Ethiopia: A multicenter retrospective cohort study.

Background: The coronavirus disease 2019 is highly infectious and patients with coronavirus diseases demonstrated a series of clinical symptoms caused by severe acute respiratory syndrome coronavirus-2. Without a break of the wave's hematological profile of the patients is still ambiguous and differs from wave to wave. Objective: This study aimed to assess the hematological profile among coronavirus disease 2019 patients during the first and the second waves in Ethiopia. Methods: A multi-centered facility-based retrospective cohort study design was conducted at six coronavirus disease 2019 treatment centers. A total of 538 study participants were enrolled in the selected coronavirus disease 2019 treatment centers during the first and second waves of the pandemic. The demographic characteristics, underlying diseases, symptoms, and hematological parameters of patients were recorded. Data were entered into Epi-Data Manager 4.6 and analyzed using STATA 14.2. An independent sample t-test was used to assess the mean differences in hematological parameters across waves. Associations between categorical variables across waves were also determined using Chi-square and Fisher exact tests. Results: Among the total study participants, 240 (44.6%) and 298 (55.4%) patients were taken from wave-1 and wave-2, respectively. The average age of the study participants was 56.44 ± 16.25 years. The most frequent comorbidities in this study were hypertension, diabetes mellitus, ischemic heart disease, and asthma. The most presenting symptoms of COVID-19 infection across the two waves were presented. In the first wave, dry cough 166 (69.2%), fatigue 153 (63.75%), shortness of breath 148 (61.67%), and fever accounted 116 (48.33%), while during the second wave, dry cough 242 (81.2%), fatigue 244 (81.88%) shortness of breath 204 (68.47%) and fever account 180 (60.40%). White blood cells (WBC), neutrophils, and lymphocytes had shown increment during the first wave. Platelet count and platelet distribution width (p < 0.001) had significant mean differences across the two waves, while the other had no significant mean difference. Conclusion: In the present study, dry cough, fatigue, shortness of breath, and fever were found to be the most presenting symptoms of COVID-19 infection across the two waves. Only the platelet count and platelet distribution width had significant mean differences across the two waves, while the other had no significant mean difference across waves.

Antibiotic Overuse for COVID-19: Are We Adding Insult to Injury?

In this study, we described the proportion of COVID-19 patients started on antibiotics empirically and the work-ups performed to diagnose bacterial superinfection. We used a retrospective cohort study design involving medical records of symptomatic, hospitalized COVID-19 patients who were admitted to these centers. A total of 481 patients were included, with a median age of 41.0 years (interquartile range, 28-58.5 years). A total of 72.1% (N = 347) of COVID-19 patients received antibiotics, either before or during admission. This is troublesome because none of the patients' bacterial culture or inflammatory markers, such as the erythrocyte sedimentation rate or C-reactive protein, were evaluated, and only 73 (15.2%) underwent radiological investigations. Therefore, national COVID-19 guidelines should emphasize the rational use of antibiotics for the treatment of COVID-19, a primarily viral disease. Integrating antimicrobial stewardship into the COVID-19 response and expanding microbiological capacities in low-income countries are indispensable. Otherwise, we risk one pandemic aggravating another.

Prevalence of rheumatic heart disease in a major referral cardiology clinic in Ethiopia: A retrospective cross-sectional study.

BACKGROUND: Rheumatic Heart Disease (RHD) remains one of the major causes of death and disability in developing countries. This preventable, treatable but not curable form of cardiovascular disease is needlessly killing scores of children and youth mainly due to the misunderstanding of the burden of the disease in these countries. We sought to describe the prevalence of RHD at one of the major referral cardiology clinics in Ethiopia. METHODS: This was a retrospective cross-sectional chart review of all patients referred for a cardiopathy at the Tikur Anbessa Referral Cardiac Clinic from June 2015 to August 2018. We excluded records of patients with a non-cardiac diagnosis and those without a clear diagnosis. A predesigned and tested EXCEL form was used to collect the data. The data was encoded directly from the patient record files. MATLAB's statistics toolbox (MATLAB2019b) was used for statistical analysis. RESULTS: Among the total 7576 records analyzed 59.5% of the patients were women. 83.1% of the data belonged to adult patients with the largest concentration reported in the 18 to 27 age group. 69.7% of the patients were from urban areas. The median age of the study population was 30 (interquartile range = 21-50). 4151 cases were caused by RHD which showed that RHD constituted 54.8% of the cases. The median age for RHD patients was 25 (interquartile range = 19-34). The second most prevalent disease was hypertensive heart disease which constituted 13.6% that was followed by congenital heart disease with 9% prevalence rate. CONCLUSION: The results of this study indicated the extent of the RHD prevalence in Ethiopia's cardiac hospital was 54.8%. What was more critical was that almost 70% of the RHD patients were mainly the working-age group(19 to 34 years).