Literature DB >> 34111146

Time to recovery from COVID-19 and its predictors among patients admitted to treatment center of Wollega University Referral Hospital (WURH), Western Ethiopia: Survival analysis of retrospective cohort study.

Tadesse Tolossa1, Bizuneh Wakuma2, Dejene Seyoum Gebre1, Emiru Merdassa Atomssa1, Motuma Getachew1, Getahun Fetensa2, Diriba Ayala3, Ebisa Turi1.   

Abstract

INTRODUCTION: Despite its alarming spread throughout the world, no effective drug and vaccine is discovered for COVID-19 so far. According to WHO, the recovery time from COVID-19 was estimated to be 2 weeks for patients with mild infection, and 3 to 6 weeks for those with serious illnesses. A studies regarding the median recovery time and its predictors are limited globally and specifically in Ethiopia. Therefore, the aim of this study was to estimate the median time to recovery from COVID-19 and its predictors among COVID-19 cases admitted to WURH, Western Ethiopian.
METHODS: This was a hospital-based retrospective cohort study conducted among 263 adult patients admitted with COVID-19 in WURH treatment center from March 29, 2020 through September 30, 2020. Epidata version 3.2 was used for data entry, and STATA version 14 for analysis. A Cox proportional hazard regression model was fitted to determine factors associated with recovery time. A variable with P-value ≤ 0.25 at bivariable Cox regression analysis were selected for multivariable Cox proportional model. Multivariable Cox regression model with 95% CI and Adjusted Hazard Ratio (AHR) was used to identify a significant predictor of time to recovery from COVID-19 at P-value < 0.05.
RESULTS: The mean age of patient was 36.8 (SD± 10.68) years. At the end of follow up, two hundred twenty seven observations were developed an event (recovered) with median time to recovery of 18 days with IQR of 10-27 days. The overall incidence rate of recovery was of 4.38 per 100 (95% CI: 3.84, 4.99) person-days observations. Being older age (AHR = 1.59, 95% CI: 1.02, 2.49), presence of fever on admission (AHR = 1.78, 95% CI: 1.21, 2.62), and comorbidity (AHR = 0.56, 95% CI, 0.34, 0.90) were found to have statistically significant association with recovery time. CONCLUSION AND RECOMMENDATIONS: In general, the median recovery time of patients with COVID-19 cases was long, and factors such as older age group, presence of fever, and comorbidity was an independent predictors of delayed recovery from COVID-19. Intervention to further reduce recovery time at treatment center has to focus on patients those shows symptoms and with comorbidities.

Entities:  

Year:  2021        PMID: 34111146     DOI: 10.1371/journal.pone.0252389

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  11 in total

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2.  Time to Recovery from Covid-19 and Its Predictors Among Patients Admitted to Treatment Centers of Southern Nations Nationalities and Peoples Region (SNNPR), ETHIOPIA: Multi-Center Retrospective Cohort Study.

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Journal:  Infect Drug Resist       Date:  2022-07-04       Impact factor: 4.177

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Authors:  Oluwabunmi Samuel Ibitoye; Yusuff Akinkunmi Olasunkanmi; Tubosun Alex Olowolafe; Aderemi Temitayo Olabode; Mobolaji Modinat Salawu; Rotimi Felix Afolabi
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Journal:  Pathogens       Date:  2022-05-07

7.  Trends in COVID-19: Incidence, mortality, and case fatality in Iraq.

Authors:  Nagham A Mawlood; Riyadh K Lafta
Journal:  Saudi Med J       Date:  2022-05       Impact factor: 1.422

8.  Incidence and predictors of mortality among COVID-19 patients admitted to treatment centers in North West Ethiopia; A retrospective cohort study, 2021.

Authors:  Belayneh Mengist; Zelalem Animut; Tadesse Tolossa
Journal:  Int J Afr Nurs Sci       Date:  2022-04-30

9.  Clinical Features and Time to Recovery of Admitted COVID-19 Cases at Dilla University Referral Hospital Treatment Center, South Ethiopia.

Authors:  Gemechu Churiso; Kuma Diriba; Henok Girma; Soressa Tafere
Journal:  Infect Drug Resist       Date:  2022-03-04       Impact factor: 4.003

10.  Time to Recovery of Severely Ill COVID-19 Patients and its Predictors: A Retrospective Cohort Study in Tigray, Ethiopia.

Authors:  Haftom Temesgen Abebe; Yibrah Berhe Zelelow; Afework Mulugeta Bezabih; Mengistu Mitiku Ashebir; Getachew Redae Tafere; Alem Desta Wuneh; Medhanie Gebresilassie Araya; Nguse Kahsay Kiros; Molla Kahssay Hiluf; Mohamedawel Mohamedniguss Ebrahim; Tesfay Gebregzabher Gebrehiwot; Abadi Leul Welderufael; Abrahim Hassen Mohammed
Journal:  J Multidiscip Healthc       Date:  2022-08-11
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