12 research outputs found
· Effect of Diabetes on COVID-19 mortality in Addis Ababa, Ethiopia: a retrospective cohort study
This study at Eka Kotebe Hospital in Addis Ababa, Ethiopia, examined the impact of diabetes on COVID-19 mortality. We conducted a matched-retrospective cohort study of consecutive patients admitted with COVID-19. We compared severity markers and outcomes to determine the risk of death in patients with diabetes compared to matched controls. We used descriptive statistics, chi-square, and Poisson regression. In a univariate comparison, a p-value less than 0.05 was considered significant. Ethics approval was obtained from the Eka Kotebe Hospital Institutional Ethics Committee. The study involved 284 patients, with a 1:1 proportion of diabetics and non-diabetics. Results showed that diabetic patients had a higher number of severe and critical cases but did not have a higher mortality rate. Mortality was associated with malignancy, HIV, and a lymphocyte count <1000/µL.</p
Laboratory biomarker-related variables by COVID severity classification (n = 126).
Laboratory biomarker-related variables by COVID severity classification (n = 126).</p
Creatinine and NLR as predictor of disease severity and mortality of COVID-19.
Creatinine and NLR as predictor of disease severity and mortality of COVID-19.</p
Demographics characteristic of COVID-19 patients.
Demographics characteristic of COVID-19 patients.</p
Co-morbidity among COVID-19 patients admitted to the hospital.
CVD, Cardiovascular disease, COPD, Chronic obstructive pulmonary disease, DM, Diabetes Mellitus, HTN, Hypertension.</p
Association of sociodemographic features, clinical history, laboratory profile with severity and mortality among COVID-19 patients (n = 126).
Association of sociodemographic features, clinical history, laboratory profile with severity and mortality among COVID-19 patients (n = 126).</p
Fig 2 -
ROC curve analysis to predict NLR as predictor of disease severity (A) and mortality (B).</p
Fig 3 -
ROC curve analysis to predict creatinine as predictor of disease severity (A) and mortality (B).</p
Demographic, clinical and laboratory profiles by survivorships status.
Demographic, clinical and laboratory profiles by survivorships status.</p
