Incidence and predictors of organ failure among COVID-19 hospitalized adult patients in Eastern Ethiopia. Hospital-based retrospective cohort study

Background: Organ failure is incapability of at least one of the body organs to carry out a normal body functions. Identifying the predictors of the organ failure is crucial for improving COVID-19 patients’ survival. However, the evidence related to this information is not well-established in develo...

Full description

Bibliographic Details
Main Authors: Alemu, A. (Author), Ayana, G.M (Author), Birhanu, A. (Author), Dessie, Y. (Author), Merga, B.T (Author), Negash, B. (Author), Seid, A. (Author)
Format: Article
Language:English
Published: BioMed Central Ltd 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03283nam a2200301Ia 4500
001 10.1186-s12879-022-07402-6
008 220510s2022 CNT 000 0 und d
020 |a 14712334 (ISSN) 
245 1 0 |a Incidence and predictors of organ failure among COVID-19 hospitalized adult patients in Eastern Ethiopia. Hospital-based retrospective cohort study 
260 0 |b BioMed Central Ltd  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s12879-022-07402-6 
520 3 |a Background: Organ failure is incapability of at least one of the body organs to carry out a normal body functions. Identifying the predictors of the organ failure is crucial for improving COVID-19 patients’ survival. However, the evidence related to this information is not well-established in developing countries, including Ethiopia. Therefore, this study aimed to determine the incidence and predictors of organ failure among adult patients admitted to Hiwot Fana Specialized University Hospital (HFSUH) COVID-19 treatment center from 1st May 2020 to 20th August 2021, Eastern Ethiopia. Methods: A hospital-based retrospective cohort study design was implemented. Descriptive measures such as mean with standard deviation (SD), median with interquartile range (IQR), percentages, and frequencies were computed. The binary logistic regression was used to identify the association between outcome variables (organ functional status) and independent variables with an adjusted odds ratio (AOR) at a 95% confidence interval. A significance level was declared at a p-value of less than 0.05. Results: The mean age of study participants was 47.69 years with the standard deviation (SD) of ± 17.03. The study participants were followed for the median time of 8 days with IQR of 4, 14. The incidence of organ failure was 11.9 per 1000 person-day contribution (95% CI: 9.5, 14.9). Predictors such as age above 60 years (AOR = 1.71, 95% CI: 1.44, 4.53), smoking history (AOR = 5.07, 95% CI: 1.39, 8.15), cardiovascular disease (AOR = 5.00, 95% CI: (1.83, 11.72), and critical clinical stages of COVID-19 (AOR = 5.42, 95%: 1.47, 14. 84) were significantly associated with organ failure among COVID-19 hospitalized patients. Conclusions: The incidence of organ failure was 11.9 per 1000 person-day contribution. Age, smoking, comorbidity, and clinical stages were significantly associated with organ failure among COVID-19 hospitalized cases. Therefore, clinicians should stringently follow the patients experiencing modifiable predictors of organ failure, especially patients with comorbidities and severe clinical stages. Moreover, the prevention programs that target elders and smokers should be strengthening to save this segment of populations before suffering from organ failure following COVID-19. © 2022, The Author(s). 
650 0 4 |a Aged 
650 0 4 |a Comorbidity 
650 0 4 |a COVID-19 
650 0 4 |a Ethiopia 
650 0 4 |a Organ failure 
650 0 4 |a Predictors 
650 0 4 |a SARS-CoV-2 
650 0 4 |a Smoking 
700 1 |a Alemu, A.  |e author 
700 1 |a Ayana, G.M.  |e author 
700 1 |a Birhanu, A.  |e author 
700 1 |a Dessie, Y.  |e author 
700 1 |a Merga, B.T.  |e author 
700 1 |a Negash, B.  |e author 
700 1 |a Seid, A.  |e author 
773 |t BMC Infectious Diseases