ArticleJournal of multidisciplinary healthcare2022
Time to Recovery of Severely Ill COVID-19 Patients and its Predictors: A Retrospective Cohort Study in Tigray, Ethiopia.
Article in Journal of multidisciplinary healthcare, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
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Who cites it
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 8 citations in OpenAlex.
- Incidence of recovery rate and predictors among hospitalized COVID- 19 infected patients in Ethiopia; a systemic review and meta-analysis.BMC public health · 2025Pooled it
- COVID-19 mortality rate and its determinants in Ethiopia: a systematic review and meta-analysis.Frontiers in medicine · 2024Pooled it
- Time to recovery of COVID-19 patients and its predictors: a retrospective cohort study in HUCSH, Sidama, Ethiopia.BMC public health · 2025Article
- Parametric survival analysis of long COVID among hospitalized patients in Zambia: A retrospective cohort study on the time to symptoms resolving.PLOS global public health · 2025Article
- Survival of hospitalised COVID-19 patients in Hawassa, Ethiopia: a cohort study.BMC infectious diseases · 2024Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: COVID-19 is one of the leading causes of morbidity and mortality and is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). A patient infected with SARS-CoV-2 is said to be recovered from the infection following negative test results and when signs and symptoms disappear. Different studies have shown different median recovery time of patients with COVID-19 and it varies across settings and disease status. This study aimed to assess time to recovery and its predictors among severely ill COVID-19 patients in Tigray. Methods: A total of 139 severely ill COVID-19 patients who were hospitalized between May 7, 2020 and October 28, 2020 were retrospectively analyzed. Cox proportional hazard regression model was fitted to identify the risk factors associated with the time duration to recovery from severe COVID-19 illness. Results: The median age of the patients was 35 years (IQR, 27-60). Eighty-three (59.7%) patients recovered with a median time of 26 days (95% CI: 23-27). The results from the multivariable analysis showed that the recovery time was lower for severely ill patients who had no underline comorbidity diseases (AHR=2.48, 95% CI: 1.18-5.24), shortness of breath (AHR=2.08, 95% CI: 1.07-3.98) and body weakness (AHR=2.62, 95% CI: 1.20-5.72). Moreover, COVID-19 patients aged younger than 40 years had lower recovery time compared to patients aged 60 and above (AHR=4.09, 95% CI: 1.58-10.61). Conclusion: The median recovery time of severely ill COVID-19 patients was long, and older age, comorbidity, shortness of breath, and body weakness were significant factors related with the time to recovery among the severely ill COVID-19 patients. Therefore, we recommended that elders and individuals with at least one comorbidity disease have to get due attention to prevent infection by the virus. Moreover, attention should be given in the treatment practice for individuals who had shortness of breath and body weakness symptoms.
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