Cargando…
Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study
BACKGROUND: Assessing factors associated with mortality among COVID-19 patients could guide in developing context relevant interventions to mitigate the risk. The study aimed to describe mortality and associated factors among COVID-19 patients admitted at six health facilities in Uganda. METHODS: We...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666944/ https://www.ncbi.nlm.nih.gov/pubmed/36380388 http://dx.doi.org/10.1186/s13690-022-00991-3 |
_version_ | 1784831615869911040 |
---|---|
author | Muyinda, Asad Ingabire, Prossie M. Nakireka, Susan Tumuhaise, Criscent Namulema, Edith Bongomin, Felix Napyo, Agnes Sserwanja, Quraish Ainembabazi, Rozen Olum, Ronald Nantale, Ritah Akunguru, Phillip Nomujuni, Derrick Olwit, William Musaba, Milton W. Namubiru, Bridget Aol, Pamela Babigumira, Peter A. Munabi, Ian Kiguli, Sarah Mukunya, David |
author_facet | Muyinda, Asad Ingabire, Prossie M. Nakireka, Susan Tumuhaise, Criscent Namulema, Edith Bongomin, Felix Napyo, Agnes Sserwanja, Quraish Ainembabazi, Rozen Olum, Ronald Nantale, Ritah Akunguru, Phillip Nomujuni, Derrick Olwit, William Musaba, Milton W. Namubiru, Bridget Aol, Pamela Babigumira, Peter A. Munabi, Ian Kiguli, Sarah Mukunya, David |
author_sort | Muyinda, Asad |
collection | PubMed |
description | BACKGROUND: Assessing factors associated with mortality among COVID-19 patients could guide in developing context relevant interventions to mitigate the risk. The study aimed to describe mortality and associated factors among COVID-19 patients admitted at six health facilities in Uganda. METHODS: We reviewed medical records of patients admitted with COVID-19 between January 1st 2021 and December 31st 2021 in six hospitals in Uganda. Using Stata version 17.0, Kaplan Meier and Cox regression analyses were performed to describe the time to death and estimate associations between various exposures and time to death. Finally, accelerated failure time (AFT) models with a lognormal distribution were used to estimate corresponding survival time ratios. RESULTS: Out of the 1040 study participants, 234 (22.5%: 95%CI 12.9 to 36.2%) died. The mortality rate was 30.7 deaths per 1000 person days, 95% CI (26.9 to 35.0). The median survival time was 33 days, IQR (9–82). Factors associated with time to COVID-19 death included; age ≥ 60 years [adjusted hazard ratio (aHR) = 2.4, 95% CI: [1.7, 3.4]], having malaria test at admission [aHR = 2.0, 95% CI:[1.0, 3.9]], a COVID-19 severity score of severe/critical [aHR = 6.7, 95% CI:[1.5, 29.1]] and admission to a public hospital [aHR = 0.4, 95% CI:[0.3, 0.6]]. The survival time of patients aged 60 years or more is estimated to be 63% shorter than that of patients aged less than 60 years [adjusted time ratio (aTR) 0.37, 95% CI 0.24, 0.56]. The survival time of patients admitted in public hospitals was 2.5 times that of patients admitted in private hospitals [aTR 2.5 to 95%CI 1.6, 3.9]. Finally, patients with a severe or critical COVID-19 severity score had 87% shorter survival time than those with a mild score [aTR 0.13, 95% CI 0.03, 0.56]. CONCLUSION: In-hospital mortality among COVID-19 patients was high. Factors associated with shorter survival; age ≥ 60 years, a COVID-19 severity score of severe or critical, and having malaria at admission. We therefore recommend close monitoring of COVID-19 patients that are elderly and also screening for malaria in COVID-19 admitted patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-022-00991-3. |
format | Online Article Text |
id | pubmed-9666944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96669442022-11-16 Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study Muyinda, Asad Ingabire, Prossie M. Nakireka, Susan Tumuhaise, Criscent Namulema, Edith Bongomin, Felix Napyo, Agnes Sserwanja, Quraish Ainembabazi, Rozen Olum, Ronald Nantale, Ritah Akunguru, Phillip Nomujuni, Derrick Olwit, William Musaba, Milton W. Namubiru, Bridget Aol, Pamela Babigumira, Peter A. Munabi, Ian Kiguli, Sarah Mukunya, David Arch Public Health Research BACKGROUND: Assessing factors associated with mortality among COVID-19 patients could guide in developing context relevant interventions to mitigate the risk. The study aimed to describe mortality and associated factors among COVID-19 patients admitted at six health facilities in Uganda. METHODS: We reviewed medical records of patients admitted with COVID-19 between January 1st 2021 and December 31st 2021 in six hospitals in Uganda. Using Stata version 17.0, Kaplan Meier and Cox regression analyses were performed to describe the time to death and estimate associations between various exposures and time to death. Finally, accelerated failure time (AFT) models with a lognormal distribution were used to estimate corresponding survival time ratios. RESULTS: Out of the 1040 study participants, 234 (22.5%: 95%CI 12.9 to 36.2%) died. The mortality rate was 30.7 deaths per 1000 person days, 95% CI (26.9 to 35.0). The median survival time was 33 days, IQR (9–82). Factors associated with time to COVID-19 death included; age ≥ 60 years [adjusted hazard ratio (aHR) = 2.4, 95% CI: [1.7, 3.4]], having malaria test at admission [aHR = 2.0, 95% CI:[1.0, 3.9]], a COVID-19 severity score of severe/critical [aHR = 6.7, 95% CI:[1.5, 29.1]] and admission to a public hospital [aHR = 0.4, 95% CI:[0.3, 0.6]]. The survival time of patients aged 60 years or more is estimated to be 63% shorter than that of patients aged less than 60 years [adjusted time ratio (aTR) 0.37, 95% CI 0.24, 0.56]. The survival time of patients admitted in public hospitals was 2.5 times that of patients admitted in private hospitals [aTR 2.5 to 95%CI 1.6, 3.9]. Finally, patients with a severe or critical COVID-19 severity score had 87% shorter survival time than those with a mild score [aTR 0.13, 95% CI 0.03, 0.56]. CONCLUSION: In-hospital mortality among COVID-19 patients was high. Factors associated with shorter survival; age ≥ 60 years, a COVID-19 severity score of severe or critical, and having malaria at admission. We therefore recommend close monitoring of COVID-19 patients that are elderly and also screening for malaria in COVID-19 admitted patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13690-022-00991-3. BioMed Central 2022-11-15 /pmc/articles/PMC9666944/ /pubmed/36380388 http://dx.doi.org/10.1186/s13690-022-00991-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Muyinda, Asad Ingabire, Prossie M. Nakireka, Susan Tumuhaise, Criscent Namulema, Edith Bongomin, Felix Napyo, Agnes Sserwanja, Quraish Ainembabazi, Rozen Olum, Ronald Nantale, Ritah Akunguru, Phillip Nomujuni, Derrick Olwit, William Musaba, Milton W. Namubiru, Bridget Aol, Pamela Babigumira, Peter A. Munabi, Ian Kiguli, Sarah Mukunya, David Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title | Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title_full | Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title_fullStr | Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title_full_unstemmed | Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title_short | Survival analysis of patients with COVID-19 admitted at six hospitals in Uganda in 2021: a cohort study |
title_sort | survival analysis of patients with covid-19 admitted at six hospitals in uganda in 2021: a cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9666944/ https://www.ncbi.nlm.nih.gov/pubmed/36380388 http://dx.doi.org/10.1186/s13690-022-00991-3 |
work_keys_str_mv | AT muyindaasad survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT ingabireprossiem survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT nakirekasusan survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT tumuhaisecriscent survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT namulemaedith survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT bongominfelix survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT napyoagnes survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT sserwanjaquraish survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT ainembabazirozen survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT olumronald survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT nantaleritah survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT akunguruphillip survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT nomujuniderrick survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT olwitwilliam survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT musabamiltonw survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT namubirubridget survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT aolpamela survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT babigumirapetera survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT munabiian survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT kigulisarah survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy AT mukunyadavid survivalanalysisofpatientswithcovid19admittedatsixhospitalsinugandain2021acohortstudy |