Predictors for adult COVID-19 hospitalized inpatient mortality rate in North West Ethiopia

Kebede, Fassikaw; Kebede, Tesfaye; Gizaw, Tilahun

doi:10.1177/20503121221081756

Cited by 11 publications

(23 citation statements)

References 35 publications

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“…26 However, all the other included studies have reported the CFR. 25,[27][28][29][30][31][32][33][34][35][36][37] Accordingly, the present study confirmed the CFR of COVID-19 in Ethiopia ranges from nearly 1-20% (Table 3).…”

Section: The Proportion Of Case Fatality Ratesupporting

confidence: 77%

“…In this review, of the total included studies, eight reported the factors contributing to mortality from COVID-19 in the Ethiopian population. 26,28,[30][31][32][33][34]37 As a result, we found that the presence of a high rate of one or more comorbid conditions was significantly associated with COVID-19 mortality and/or poor treatment outcome. 26,28,30,[32][33][34]37 Furthermore, non-modifiable risk factors…”

Section: Factors Contributing To Mortality Among Covid-19 Patientsmentioning

confidence: 72%

“…26,28,[30][31][32][33][34]37 As a result, we found that the presence of a high rate of one or more comorbid conditions was significantly associated with COVID-19 mortality and/or poor treatment outcome. 26,28,30,[32][33][34]37 Furthermore, non-modifiable risk factors…”

Section: Factors Contributing To Mortality Among Covid-19 Patientsmentioning

confidence: 72%

“…A total of thirteen studies [25][26][27][28][29][30][31][32][33][34][35][36][37] were included in the review. All studies had been published between 2020 and 2022 with sample sizes ranging from 33 to 4398.…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

“…All studies had been published between 2020 and 2022 with sample sizes ranging from 33 to 4398. Four studies were done in Addis Ababa, 26,28,33,35 three were in Oromia region, 29,36,37 two were in Amhara region, 27,31 one study was in Benishangul-Gumuz region, 30 one study was in Harari region, 34 one study was in Tigray region, 32 and one study was at national level. 25 Besides, study design included was one case-control, 26 six cohorts, [28][29][30][32][33][34] 25,27,31,[35][36][37] Moreover, from the encompassed studies, seven reported on both case fatality rate and factors contributing to COVID-19 mortality, 28,[30][31][32][33][34]37 whereas, five reported only a case fatality rate, 25,27,29,35,36 and one reported only on factors contributing to COVID-19 mortality, 26 and (Table 2).…”

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

See 4 more Smart Citations

COVID-19 Case Fatality Rate and Factors Contributing to Mortality in Ethiopia: A Systematic Review of Current Evidence

Girma¹,

Dejene²,

Geleta³

et al. 2022

IDR

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Background:The ongoing novel coronavirus disease 2019 (COVID-19) is triggering significant morbidity and mortality due to its contagious nature and absence of definitive management. In Ethiopia, despite a number of primary studies have been conducted to estimate the case fatality rate (CFR) of COVID-19, no review study has attempted to summarize the findings to better understand the nature of pandemics and the virulence of the disease. Objective: To summarize the CFR of COVID-19 and factors contributing to mortality in Ethiopia. Methods: PRISMA guideline was followed. PubMed, Science Direct, CINAHL, SCOPUS, Hinari, and Google Scholar were systematically searched using pre-specified keywords. Observational studies ie, cohort, cross-sectional, and case-control studies were included. The Newcastle-Ottawa scale adapted for observational studies was used to assess the quality of included studies. CFR was defined as the proportion of COVID-19 cases with the outcome of death within a given period. Factors contributing to COVID-19 mortality at p-value <0.05 were described narratively from the eligible articles. Results: A total of 13 observational studies were included in this study. Consequently, this review confirmed the CFR of COVID-19 in Ethiopia ranges between 1-20%. Additionally, comorbid conditions, older age group, male sex, substance use, clinical manifestations (abnormal oxygen saturation level, atypical lymphocyte count, fever, and shortness of breath), disease severity, and history of surgery/trauma increased the likelihood of death from COVID-19 death. Conclusion:This study shows that the range of CFR of COVID-19 in Ethiopia is almost equivalent to other countries, despite the country's low testing capacity and case detection rate in reference to its total population. Comorbid diseases, older age group, male sex, cigarette smoking, alcohol drinking, clinical manifestations and disease severity, and history of surgery/trauma were factors contributing to COVID-19 mortality in Ethiopia. Therefore, given the alarming global situation and rapidly evolving large-scale pandemics, urgent interdisciplinary interventions should be implemented in those vulnerable groups to lessen the risk of mortality. Furthermore, the CFR of COVID-19 should be estimated from all treatment and rehabilitation centers in the country, as underestimation could be linked to a lack of preparedness and mitigation. A large set of prospective studies are also compulsory to better understand the CFR of COVID-19 in Ethiopia.

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Section: The Proportion Of Case Fatality Ratesupporting

confidence: 77%

Section: Factors Contributing To Mortality Among Covid-19 Patientsmentioning

confidence: 72%

Section: Factors Contributing To Mortality Among Covid-19 Patientsmentioning

confidence: 72%

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

Section: Characteristics Of the Included Studiesmentioning

confidence: 99%

See 3 more Smart Citations

COVID-19 Case Fatality Rate and Factors Contributing to Mortality in Ethiopia: A Systematic Review of Current Evidence

Girma¹,

Dejene²,

Geleta³

et al. 2022

IDR

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Polymerase chain reaction‐positivity and predictors for SARS‐CoV‐2 infection among diagnosed cases' in North West Ethiopia

Kebede,

Kebede

2023

Health Science Reports

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BackgroundThe lack of sophisticated diagnosing equipment for polymerase chain reaction (PCR) during the incidence of variant types of COVID‐19 underestimates the morbidity and mortality patterns of this pandemic. Thus, this study aimed to estimate seropositive and confirmatory predictors for COVID‐19 suspected and tested cases through polymerase chain reaction (RT‐PCR) in two diagnosingMethodsA facility‐based descriptive cross‐sectional study was employed among COVID‐19 suspected cases from January 2, 2022, to June 9, 2022. The data were collected both using a structured interviewees and nasopharyngeal (NP) swabs. The nasal swab (NS) was analyzed in the laboratory for RNA detection of the virus using PCR. The collected data were entered into Epi Data version 4.2 and then exported to STATA (SE) version R‐14 software for further analysis. multivariable logistic regression was used to assess the associated riskResultsA total of 285 suspected cases have participated in this study. The overall mean (±SD) age of the participants was 37.5 (±18.5) years. The majority, 174 (61.1%) of the tested groups were symptomatic when diagnosed. The positivity of RT‐PCR for suspected and COVID‐19 diagnosed cases were confirmed in 62/285 (21.75%). In multivariable analysis, they were aged 26–50 years (adjusted odds ratio [AOR] = 4.2, 95% confidence interval [CI] = 1.5–10.75), had comorbidity (AOR = 5.8; 95% CI = 2.1–12.2), and cigarette smokers (AOR = 13.5; 95% CI = 5.3–36.6) were significantly associated with developing COVID‐19 infection.ConclusionMore than two in every nine suspected cases were positive RT‐PCR tests, and the infectivity of COVID‐19 was significantly associated with age 25–50 years, comorbidities, and cigarette smoking. The deployment of high‐quality diagnostic kits like RT‐PCR is crucial for the early detection and risk stratification of suspected cases.

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Survival status and predictors of mortality among COVID-19 patients admitted to intensive care units at COVID-19 centers in Addis Ababa, Ethiopia: a retrospective study

Boka

Tadesse

W/Yohannes

et al. 2023

Annals of Medicine &Amp; Surgery

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Introduction: Worldwide, including in Ethiopia, there is an increased risk of coronavirus disease 2019 (COVID-19) disease severity and mortality. This study aimed to assess the survival status and predictors of mortality among COVID-19 patients admitted to the intensive care unit. Methods: This study included 508 COVID-19 patients retrospectively who were under follow-up. The work has been reported in line with the STROCSS (strengthening the reporting of cohort, cross-sectional and case–control studies in surgery) criteria. The data were collected through a systematic sampling from patients’ charts. Kaplan–Meier survival curves and logrank test, and Cox’s regression analyses were conducted to check the difference among categories of covariates and to identify predictors of mortality, respectively. Results: All patient charts were reviewed and the information was recorded. The average age (mean+SD) of these patients was 62.1+13.6 years. Among study participants, 422 deaths occurred and the mortality rate was 64.1 per 1000 person-days. The median survival time was 13 days [interquartile range (IQR): 10–18]. The significant predictors for this survival were: Age>45 years [adjusted hazard ratio (AHR)=4.34, 95% CI: 2.46–7.86], Diabetes mellitus (AHR=1.37, 95% CI: 1.05–1.77), Hypertension (AHR=1.39, 95% CI: 1.09–1.79), Renal disease (AHR=1.86, 95% CI: 1.01–3.43), Hypotension (AHR=1.71, 95% CI: 1.28–2.27), Electrolyte treatment (AHR=0.78, 95% CI: 0.63–0.97). Conclusion: The median survival of COVID-19 patients after their admission was 13 days, and predictors for this time were advanced age, preexisting comorbidities (like diabetes mellitus, hypertension, and renal disease), hypotension, and electrolyte therapy.

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Predictors for adult COVID-19 hospitalized inpatient mortality rate in North West Ethiopia

Cited by 11 publications

References 35 publications

COVID-19 Case Fatality Rate and Factors Contributing to Mortality in Ethiopia: A Systematic Review of Current Evidence

COVID-19 Case Fatality Rate and Factors Contributing to Mortality in Ethiopia: A Systematic Review of Current Evidence

Polymerase chain reaction‐positivity and predictors for SARS‐CoV‐2 infection among diagnosed cases' in North West Ethiopia

Survival status and predictors of mortality among COVID-19 patients admitted to intensive care units at COVID-19 centers in Addis Ababa, Ethiopia: a retrospective study

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