Aim To identify laboratory biomarkers that predict disease severity and outcome among COVID-19 patients admitted to the Millennium COVID-19 Care Center in Ethiopia. Methods A retrospective cohort study was conducted among 429 COVID-19 patients who were on follow up from July to October 2020. Data was described using frequency tables. Robust Poisson regression model was used to identify predictors of COVID-19 severity where adjusted relative risk (ARR), P-value and 95 CI for ARR were used to test significance. Binary Logistic regression model was used to assess the presence of statistically significant association between the explanatory variables and COVID-19 outcome where adjusted odds ratio (AOR), P-value and 95%CI for AOR were used for testing significance. Results Among the 429 patients studied, 182 (42.4%) had Severe disease at admission and the rest 247 (57.6%) had Non-severe disease. Regarding disease outcome, 45 (10.5%) died and 384 (89.5%) were discharged alive. Age group (ARR = 1.779, 95%CI = 1.405–2.252, p-value <0.0001), Neutrophil to Lymphocyte ratio (NLR) (ARR = 4.769, 95%CI = 2.419–9.402 p-value <0.0001), Serum glutamic oxaloacetic transaminase (SGOT) (ARR = 1.358, 95%CI = 1.109–1.662 p-value = 0.003), Sodium (ARR = 1.321, 95%CI = 1.091–1.600 p-value = 0.004) and Potassium (ARR = 1.269, 95%CI = 1.059–1.521 p-value = 0.010) were found to be significant predictors of COVID-19 severity. The following factors were significantly associated with COVID-19 outcome; age group (AOR = 2.767, 95%CI = 1.099–6.067, p-value = 0.031), white blood cell count (WBC) (AOR = 4.253, 95%CI = 1.918–9.429, p-value = 0.0001) and sodium level (AOR = 3.435, 95%CI = 1.439–8.198, p-value = 0.005). Conclusions Assessing and monitoring the laboratory markers of WBC, NLR, SGOT, sodium and potassium levels at the earliest stage of the disease could have a considerable role in halting disease progression and death.

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Background: Understanding determinants of developing severe COVID-19 disease is important as studies show that severe disease is associated with worse outcomes. Objective: The study aimed to assess the determinants of COVID-19 disease severity among COVID-19 patients admitted to Millennium COVID-19 Care Center in Ethiopia. Methods: A cross-sectional study was conducted from June to August 2020 among randomly selected 686 patients. Chi-square test was used to detect the presence of a statistically significant difference in the characteristics of the patients based on disease severity (Mild Vs Moderate Vs Severe), where p-value of <0.05 was considered as having a statistically significant difference. A Multivariable multinomial logistic regression model was used to assess the presence of a significant association between the independent variables and COVID-19 disease severity where Adjusted Odds ratio (AOR), 95% CIs for AOR and P-values were used for testing significance and interpretation of results. Results: Having moderate as compared with mild disease was significantly associated with having hypertension (AOR= 2.302, 95% CI= 1.266, 4.184, p-value=0.006), diabetes mellitus (AOR=2.607, 95% CI= 1.307, 5.198, p-value=0.007 for diabetes mellitus), fever (AOR= 6.115, 95% CI= 2.941, 12.716, p-value=0.0001) and headache (AOR= 2.695, 95% CI= 1.392, 5.215, p-value=0.003). Similarly, having severe disease as compared with mild disease was associated with age group (AOR= 4.428, 95% CI= 2.497, 7.853, p-value=0.0001 for 40-59 years and AOR=18.070, 95% CI=9.292, 35.140, p-value=0.0001 for ≥ 60 years), sex (AOR=1.842, 95% CI=1.121, 3.027, p-value=0.016), hypertension (AOR= 1.966, 95% CI= 1.076, 3.593, p-value=0.028), diabetes mellitus (AOR= 3.926, 95% CI= 1.964, 7.847, p-value=0.0001), fever (AOR= 13.218, 95% CI= 6.109, 28.601, p-value=0.0001) and headache (AOR= 4.816, 95% CI= 2.324, 9.979, p-value=0.0001). In addition, determinants of severe disease as compared with moderate disease were found to be age group (AOR= 4.871, 95% CI= 2.854, 8.315, p-value=0.0001 for 40-59 years and AOR= 18.906, 95% CI= 9.838, 36.334, p-value=0.0001 for ≥ 60 years), fever (AOR= 2.161, 95% CI= 1.286, 3.634, p-value=0.004) and headache (AOR= 1.787, 95% CI= 1.028, 3.107, p-value=0.039). Conclusions: Being old, male sex, hypertension, diabetes mellitus, and having symptoms of fever and headache were found to be determinants of developing a more severe COVID-19 disease category. We recommend a better preventive practice to be set in place so that these groups of patients can be protected from acquiring the disease. And for those who are already infected, a more careful follow-up and management should be given so that complication and death can be prevented. Furthermore, considering the above non respiratory symptoms as disease severity indicator could be important.

Background The COVID-19 pandemic seems to have a different picture in Africa; the first case was identified in the continent after it had already caused a significant loss to the rest of the world and the reported number of cases and mortality rate has been low. Understanding the characteristics and outcome of the pandemic in the African setup is therefore crucial. Aim To assess the characteristics and outcome of Patients with COVID-19 and to identify determinants of the disease outcome among patients admitted to Millennium COVID-19 Care Center in Ethiopia. Methods A prospective cohort study was conducted among 1345 consecutively admitted RT-PCR confirmed Patients with COVID-19 from July to September, 2020. Frequency tables, KM plots, median survival times and Log-rank test were used to describe the data and compare survival distribution between groups. Cox proportional hazard survival model was used to identify determinants of time to clinical recovery and the independent variables, where adjusted hazard ratio, P-value and 95% CI for adjusted hazard ratio were used for testing significance and interpretation of results. Binary logistic regression model was used to assess the presence of a statistically significant association between disease outcome and the independent variables, where adjusted odds ratio, P-value and 95% CI for adjusted odds ratio were used for testing significance and interpretation of results. Results Among the study population, 71 (5.3%) died, 72 (5.4%) were transferred and the rest 1202 (89.4%) were clinically improved. The median time to clinical recovery was 14 days. On the multivariable Cox proportional hazard model; temperature (AHR = 1.135, 95% CI = 1.011, 1.274, p-value = 0.032), COVID-19 severity (AHR = 0.660, 95% CI = 0.501, 0.869, p-value = 0.003), and cough (AHR = 0.705, 95% CI = 0.519, 0.959, p-value = 0.026) were found to be significant determinants of time to clinical recovery. On the binary logistic regression, the following factors were found to be significantly associated with disease outcome; SPO2 (AOR = 0.302, 95% CI = 0.193, 0.474, p-value = 0.0001), shortness of breath (AOR = 0.354, 95% CI = 0.213, 0.590, p-value = 0.0001) and diabetes mellitus (AOR = 0.549, 95% CI = 0.337, 0.894, p-value = 0.016). Conclusions The average duration of time to clinical recovery was 14 days and 89.4% of the patients achieved clinical recovery. The mortality rate of the studied population is lower than reports from other countries including those in Africa. Having severe COVID-19 disease severity and presenting with cough were found to be associated with delayed clinical recovery of the disease. On the other hand, being hyperthermic is associated with shorter disease duration (faster time to clinical recovery). In addition, lower oxygen saturation, subjective complaint of shortness of breath and being diabetic were associated with unfavorable disease outcome. Therefore, patients with these factors should be followed cautiously for a better outcome.

Aim: To estimate time to getting off supplemental oxygen therapy and identify predictors among COVID-19 patients admitted to Millennium COVID-19 Care Center in Addis Ababa, Ethiopia. Methods: A prospective observational study was conducted among 244 consecutively admitted COVID-19 patients from July to September, 2020. Frequency tables, KM plots, median survival times and Log-rank test were used to describe the data and compare survival distribution between groups. Cox proportional hazard survival model was used to assess the presence of a statistically significant association between time to getting off supplemental oxygen therapy and the independent variables, where hazard ratio, P-value and 95% CI for hazard ratio were used for testing significance and interpretation of results. Results: Median time to getting off supplemental oxygen therapy among the studied population was 6 days. Factors that affect time to getting off supplemental oxygen therapy were age group (HR= 0.522, 95% CI= 0.323, 0.844, p-value=0.008 for ≥ 70 years) and shortness of breath (HR= 0.705, 95% CI= 0.519, 0.959, p-value=0.026). Conclusions: Average duration of supplemental oxygen therapy requirement among COVID-19 patients was 6 days and being 70 years and older and having shortness of breath were found to be associated with prolonged duration of supplemental oxygen therapy requirement. This result can be used as a guide in planning institutional resource allocation and patient management to provide a well equipped care to prevent complications and death from the disease.

Aim: To estimate time to recovery/convalescence and identify determinants among COVID-19 infected patients admitted to Millennium COVID-19 Care Center in Addis Ababa, Ethiopia. Methods: A prospective cohort study was conducted among a randomly selected sample of 360 COVID-19 patients who were on follow up from 2nd June to 5th July 2020. Kaplan Meier plots, median survival times, and Log-rank test were used to describe the data and compare survival distribution between groups. Association between time to recovery/ convalescence and determinants was assessed using the Cox proportional hazard survival model, where hazard ratio, P-value, and 95% CI for hazard ratio were used for testing significance. Results: The mean age of the participants was 32.4 years (+/_ 12.5 years). On admission, 86.9 % had mild COVID-19, 78.6% were asymptomatic and 11.4% of the patients had a history of pre-existing co-morbid illness. The Median time to recovery/ convalescence among the study population was 16 days. The log-rank test shows that having non-mild (moderate and severe) disease, having one or more symptoms at presentation, and presenting with respiratory and constitutional symptoms seems to extend the time needed to achieve recovery. The Final Cox regression result shows that the presence of symptom at presentation was found to be a significant factor that affects time to recovery/ convalescence, the rate of achieving recovery/ convalescence among symptomatic patients was 44% lower than patients who were asymptomatic at presentation (HR= 0.560, 95% CI= 0.322-0.975, p-value=0.040). Conclusions: Presence of symptom was found to be associated with delayed viral clearance. This implies symptomatic patients are more likely to be infectious because of the prolonged viral shedding in addition to the presence of a more concentrated virus in the upper respiratory tract that enhances the transmission. Therefore, attention should be given in the isolation and treatment practice of COVID-19 patients with regard to presence of symptom.

Background: As the number of new cases and death due to COVID-19 is increasing, understanding the characteristics of severe COVID-19 patients and identifying characteristics that lead to death is a key to make an informed decision. In Ethiopia, as of September 27, 2020, a total of 72,700 cases and 1165 deaths were reported. Objective: The study aimed to assess the determinants of death in Severe COVID-19 patients admitted to Millennium COVID-19 Care Center in Ethiopia. Methods: A case-control study of 147 Severe COVID-19 patients (49 deaths and 98 discharged alive cases) was conducted from August to September 2020. A comparison of underlying characteristics between cases (death) and controls (alive) was assessed using a chi-square test and an independent t-test with a p-value of <0.05 considered as having a statistically significant difference. Multivariable binary logistic regression was used to assess a statistically significant association between the predictor variables and outcome of Severe COVID-19 (Alive Vs Death) where Adjusted Odds ratio (AOR), 95% CIs for AOR, and P-values were used for testing significance and interpretation of results. Results: Having diabetes mellitus (AOR= 3.257, 95% CI= 1.348, 7.867, p-value=0.00), fever (AOR=0.328, 95% CI: 0.123, 0.878, p-value= 0.027) and Shortness of breath (AOR= 4.034, 95% CI= 1.481, 10.988, p-value=0.006) were found to be significant predictors of death in Severe COVID-19 patients. Conclusions: The outcome of death in Severe COVID-19 patients is found to be associated with exposures to being diabetic and having SOB at admission. On the other hand, having a fever at admission was associated with a favorable outcome of being discharged alive.

Background: Studies show that having some symptoms seems to be associated with more severe disease and poor prognosis. Therefore, knowing who is more susceptible to symptomatic COVID-19 disease is important to provide targeted preventive and management practice. The aim of the study was to assess the determinants of having symptomatic disease among COVID-19 patients admitted to Millennium COVID-19 Care Center in Ethiopia. Methods: A case-control study was conducted from August to September 2020 among a randomly selected 765 COVID-19 patients (372 Asymptomatic and 393 Symptomatic patients). Chi-square test and independent t-test were used to detect the presence of a statistically significant difference in the characteristics of the cases (symptomatic) and controls (asymptomatic), where p-value of <0.05 considered as having a statistically significant difference. Multivariable binary logistic regression was used to assess a statistically significant association between the independent variables and developing symptomatic COVID-19 where Adjusted Odds ratio (AOR), 95% CIs for AOR, and P-values were used for testing significance and interpretation of results. Results: The result of the multivariable binary logistic regression shows that age group (AOR= 1.818, 95% CI= 1.210, 2.731, p-value=0.004 for 30-39 years; AOR= 1.611, 95% CI= 1.016, 2.554, p-value=0.043 for 40-49 years and AOR= 4.076, 95% CI= 2.582, 6.435, p-value=0.0001 for years and above), sex (AOR= 1.672, 95% CI= 1.216, 2.299, p-value=0.002) and history of diabetes mellitus (AOR= 2.406, 95% CI= 1.384, 4.181, p-value=0.002) were found to be significant factors that determine the development of symptomatic disease in COVID-19 patients. Conclusions: Developing a symptomatic COVID-19 disease was found to be determined by exposures of old age, male sex, and being diabetic. Therefore, patients with the above factors should be given enough attention in the prevention and management process, including inpatient management, to pick symptoms earlier and to manage accordingly so that these patients can have a favorable treatment outcome.