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Factors Associated with 30-Day in-Hospital Mortality Among Patients Admitted with Severe Covid-19 in Mbarara Regional Referral Hospital

Infection and Drug Resistance, Volume 15, Year 2022

Background: COVID-19 has created a burden on the healthcare system globally. Severe COVID-19 is linked with high hospital mortality. Data regarding 30-day in-hospital mortality and its factors has not been explored in southwestern Uganda. Methods: We carried out a retrospective, single-center cohort study, and included all in-patients with laboratory-confirmed, radiological, or clinical severe COVID-19 admitted between April 2020 and September 2021 at Mbarara Regional Referral Hospital (MRRH). Demographic, laboratory, treatment, and clinical outcome data were extracted from patients’ files. These data were described comparing survivors and non-survivors. We used logistic regression to explore the factors associated with 30-day in-hospital mortality. Results: Of the 283 patients with severe COVID-19 admitted at MRRH COVID-19 unit, 58.1% were male. The mean age ± standard deviation (SD) was 61±17.4 years; there were no differences in mean age between survivors and non-survivors (59 ± 17.2 versus 64.4 ±17.3, respectively, p=0.24) The median length of hospital stay was 7 (IQR 3–10) days (non-survivors had a shorter median length of stay 5 (IQR 2–9) days compared to the survivors; 8 (IQR 5–11) days, p<0.001. The most frequent comorbidities were hypertension (30.5%) and diabetes mellitus (30%). The overall 30-day in-hospital mortality was 134 of 279 (48%) mortality rate of 47,350×105 with a standard error of 2.99%. The factors associated with 30-day in-hospital mortality were age: 65 years and above (aOR, 3.88; 95% CI, 1.24–11.70; P =0.020) a neutrophil to lymphocyte ratio above 5 (aOR, 4.83; 95% CI, 1.53–15.28; P =0.007) and oxygen requirement ≥15L/min (aOR, 15.80; 95% CI, 5.17–48.25; P <0.001). Conclusion: We found a high 30-day in-hospital mortality among patients with severe forms of COVID-19. The identified factors could help clinicians to identify patients with poor prognosis at an early stage of admission.
Statistics
Citations: 17
Authors: 17
Affiliations: 3
Identifiers
Research Areas
Covid
Health System And Policy
Noncommunicable Diseases
Study Design
Cohort Study
Study Approach
Quantitative
Study Locations
Uganda
Participants Gender
Male