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Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria
INTRODUCTION: time to clinical recovery from COVID-19 infection and associated factors has not been explored in Nigeria. This study was conducted to assess the predictors and time to recovery from COVID-19 among patients attended to at the treatment centers in Ekiti State, South West. METHODS: a fac...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The African Field Epidemiology Network
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228920/ https://www.ncbi.nlm.nih.gov/pubmed/35812253 http://dx.doi.org/10.11604/pamj.2022.42.18.33791 |
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author | Ibitoye, Oluwabunmi Samuel Olasunkanmi, Yusuff Akinkunmi Olowolafe, Tubosun Alex Olabode, Aderemi Temitayo Salawu, Mobolaji Modinat Afolabi, Rotimi Felix |
author_facet | Ibitoye, Oluwabunmi Samuel Olasunkanmi, Yusuff Akinkunmi Olowolafe, Tubosun Alex Olabode, Aderemi Temitayo Salawu, Mobolaji Modinat Afolabi, Rotimi Felix |
author_sort | Ibitoye, Oluwabunmi Samuel |
collection | PubMed |
description | INTRODUCTION: time to clinical recovery from COVID-19 infection and associated factors has not been explored in Nigeria. This study was conducted to assess the predictors and time to recovery from COVID-19 among patients attended to at the treatment centers in Ekiti State, South West. METHODS: a facility-based retrospective cohort study was conducted between March 2020 to October 2021. Laboratory confirmed COVID-19 positive test result of 586 patients receiving treatment at the treatment centres in Ekiti were included. Data were extracted from COVID-19 intake forms and medical records of patients. Data were analysed using descriptive statistics and survival analysis methods including Cox proportional hazards regression model. Level of significance was set at 5%. RESULTS: the mean age of the patients was 43.46 (SD 0.74) years. Forty-seven percent (47%) of the patients were aged 25-44 years, fifty-one percent (51%) were males. The median recovery time of COVID-19 patients was 21 days (IQR: 14-23). Being a male-patient (95% CI 20.46-21.54), older age (95% CI 20.14-21.86), not admitted in the hospital (95% CI 22.74-23.26), and associated multiple co-morbidities (95% CI 17.65-28.35) were associated with delayed recovery time. Predictors of recovery time of patients from COVID-19 infection were admission status (aHR: 0.71, 95%CI 0.56-0.88; p=0.002) and symptoms on admission (aHR: 0.81, 95%CI 0.66-0.99; p=0.020). CONCLUSION: patients with comorbidities, older and those not admitted were more likely to have a delayed clinical recovery from COVID-19. Knowledge of the predictors might help health professionals in risk stratification and better management of patients with COVID-19. |
format | Online Article Text |
id | pubmed-9228920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The African Field Epidemiology Network |
record_format | MEDLINE/PubMed |
spelling | pubmed-92289202022-07-08 Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria Ibitoye, Oluwabunmi Samuel Olasunkanmi, Yusuff Akinkunmi Olowolafe, Tubosun Alex Olabode, Aderemi Temitayo Salawu, Mobolaji Modinat Afolabi, Rotimi Felix Pan Afr Med J Research INTRODUCTION: time to clinical recovery from COVID-19 infection and associated factors has not been explored in Nigeria. This study was conducted to assess the predictors and time to recovery from COVID-19 among patients attended to at the treatment centers in Ekiti State, South West. METHODS: a facility-based retrospective cohort study was conducted between March 2020 to October 2021. Laboratory confirmed COVID-19 positive test result of 586 patients receiving treatment at the treatment centres in Ekiti were included. Data were extracted from COVID-19 intake forms and medical records of patients. Data were analysed using descriptive statistics and survival analysis methods including Cox proportional hazards regression model. Level of significance was set at 5%. RESULTS: the mean age of the patients was 43.46 (SD 0.74) years. Forty-seven percent (47%) of the patients were aged 25-44 years, fifty-one percent (51%) were males. The median recovery time of COVID-19 patients was 21 days (IQR: 14-23). Being a male-patient (95% CI 20.46-21.54), older age (95% CI 20.14-21.86), not admitted in the hospital (95% CI 22.74-23.26), and associated multiple co-morbidities (95% CI 17.65-28.35) were associated with delayed recovery time. Predictors of recovery time of patients from COVID-19 infection were admission status (aHR: 0.71, 95%CI 0.56-0.88; p=0.002) and symptoms on admission (aHR: 0.81, 95%CI 0.66-0.99; p=0.020). CONCLUSION: patients with comorbidities, older and those not admitted were more likely to have a delayed clinical recovery from COVID-19. Knowledge of the predictors might help health professionals in risk stratification and better management of patients with COVID-19. The African Field Epidemiology Network 2022-05-09 /pmc/articles/PMC9228920/ /pubmed/35812253 http://dx.doi.org/10.11604/pamj.2022.42.18.33791 Text en Copyright: Oluwabunmi Samuel Ibitoye et al. https://creativecommons.org/licenses/by/4.0/The Pan African Medical Journal (ISSN: 1937-8688). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Ibitoye, Oluwabunmi Samuel Olasunkanmi, Yusuff Akinkunmi Olowolafe, Tubosun Alex Olabode, Aderemi Temitayo Salawu, Mobolaji Modinat Afolabi, Rotimi Felix Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title | Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title_full | Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title_fullStr | Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title_full_unstemmed | Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title_short | Predictors and time to recovery from COVID-19 among patients attended at the treatment centers in Ekiti State, South West, Nigeria |
title_sort | predictors and time to recovery from covid-19 among patients attended at the treatment centers in ekiti state, south west, nigeria |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9228920/ https://www.ncbi.nlm.nih.gov/pubmed/35812253 http://dx.doi.org/10.11604/pamj.2022.42.18.33791 |
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