Factors Associated for COVID19 Severity Among Patients Treated at Selgalu Treatment Center Assosa in Ethiopia: A Case–Control Study

Gutata, Dano; Alemu, Zewdie Aderaw

doi:10.2147/ijgm.s351125

Cited by 1 publication

(1 citation statement)

References 34 publications

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“…23 In contrast, this study is higher than the research conducted at the Stanford University of California, 14 Bangladesh 13 and Albert Einstein College of the USA. 24 In this study, being hypertensive was significantly associated with the severity of COVID-19 which is similar to the study conducted at a primary hospital in Assosa, Ethiopia, 9 Wuhan, China 1 and Italy. 25 On the other hand, some previous studies conducted in Addis Ababa, Ethiopia 8 and in the USA 14 reported a weaker association between hypertension Open access comorbidity the severity of COVID-19.…”

Section: Discussionsupporting

confidence: 84%

Determinants of COVID-19 severity in Ethiopia: a multicentre case–control study

Tadie,

Yimer,

Taye

2024

BMJ Open

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ObjectiveIt was necessary to understand the determinants of severe COVID-19 in order to deliver targeted healthcare services to prevent further complications and mortality. Identifying the factors associated with severe COVID-19 in Addis Ababa, Ethiopia, is the aim of this study.DesignA case–control study was conducted from October 2021 to March 2022.SettingThe study was conducted at three public COVID-19 treatment centres including Ekka Kotebe General, St. Peter Hospital and St. Paul’s Hospital.ParticipantsThe study participants were COVID-19 patients admitted to three COVID-19 treatment centres. Cases were patients admitted with severe COVID-19, and controls were patients with mild or moderate COVID-19. A total of 306 patients (153 cases and 153 controls) selected by simple random sampling technique participated in this study.Outcome measures and analysisData were collected by a face-to-face or telephone interviewer using a structured questionnaire. COVID-19 admission category, clinical and biomedical characteristics and comorbidity-related data were extracted from the participant’s medical record. Multivariable binary logistic regression analysis was used to identify predictors of COVID-19 severity.ResultsThe odds of being old were 4.54 times higher among severe COVID-19 cases (adjusted odds ratio (AOR)=4.54, 95% CI=2.499 to 8.24), the odds of being male were 2.72 times higher among severe COVID-19 cases (AOR=2.72, 95% CI=1.46 to 5.057), being vaccinated for COVID-19 decreases the severity by 55.1% (AOR=0.449, 95% CI=0.251 to 0.801), having good knowledge about COVID-19 decreases by 65% (AOR=0.35%, 95% CI=0.195 to 0.63) among patients with severe COVID-19, the odds of being diabetic were 10.2 times higher among severe COVID-19 cases (AOR=10.2, 95% CI=4.596 to 22.61) and the odds of being hypertensive were 2.3 times higher among severe COVID-19 cases (AOR=2.26, 95% CI=1.092 to 4.685).ConclusionMale, older age, diabetes or hypertension comorbidity, COVID-19 vaccination and having inadequate knowledge about COVID-19 were determinant factors of severe COVID-19.

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