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Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)

PURPOSE: A significant number of people will experience prolonged symptoms after COVID-19 infection that will greatly impact functional capacity and quality of life. The aim of this study was to identify trajectories of health-related quality of life (HRQOL) and their predictors among adults diagnos...

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Autores principales: Tanguay, Pamela, Décary, Simon, Lemaire-Paquette, Samuel, Léonard, Guillaume, Piché, Alain, Dubois, Marie-France, Kairy, Dahlia, Bravo, Gina, Corriveau, Hélène, Marquis, Nicole, Tousignant, Michel, Chassé, Michaël, Carvalho, Livia Pinheiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066943/
https://www.ncbi.nlm.nih.gov/pubmed/37004627
http://dx.doi.org/10.1007/s11136-023-03406-0
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author Tanguay, Pamela
Décary, Simon
Lemaire-Paquette, Samuel
Léonard, Guillaume
Piché, Alain
Dubois, Marie-France
Kairy, Dahlia
Bravo, Gina
Corriveau, Hélène
Marquis, Nicole
Tousignant, Michel
Chassé, Michaël
Carvalho, Livia Pinheiro
author_facet Tanguay, Pamela
Décary, Simon
Lemaire-Paquette, Samuel
Léonard, Guillaume
Piché, Alain
Dubois, Marie-France
Kairy, Dahlia
Bravo, Gina
Corriveau, Hélène
Marquis, Nicole
Tousignant, Michel
Chassé, Michaël
Carvalho, Livia Pinheiro
author_sort Tanguay, Pamela
collection PubMed
description PURPOSE: A significant number of people will experience prolonged symptoms after COVID-19 infection that will greatly impact functional capacity and quality of life. The aim of this study was to identify trajectories of health-related quality of life (HRQOL) and their predictors among adults diagnosed with COVID-19. METHODS: This is a retrospective analysis of an ongoing prospective cohort study (BQC-19) including adults (≥18y) recruited from April 2020 to March 2022. Our primary outcome is HRQOL using the EQ-5D-5L scale. Sociodemographic, acute disease severity, vaccination status, fatigue, and functional status at onset of the disease were considered as potential predictors. The latent class mixed model was used to identify the trajectories over an 18-month period in the cohort as a whole, as well as in the inpatient and outpatient subgroups. Multivariable and univariable regressions models were undertaken to detect predictors of decline. RESULTS: 2163 participants were included. Thirteen percent of the outpatient subgroup (2 classes) and 28% in the inpatient subgroup (3 classes) experienced a more significant decline in HRQOL over time than the rest of the participants. Among all patients, age, sex, disease severity and fatigue, measured on the first assessment visit or on the first day after hospital admission (multivariable models), were identified as the most important predictors of HRQOL decline. Each unit increase in the SARC-F and CFS scores increase the likelihood of belonging to the declining trajectory (univariable models). CONCLUSION: Although to different degrees, similar factors explain the decline in HRQOL over time among the overall population, people who have been hospitalized or not. Clinical functional capacity scales could help to determine the risk of HRQOL decline. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-023-03406-0.
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spelling pubmed-100669432023-04-03 Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19) Tanguay, Pamela Décary, Simon Lemaire-Paquette, Samuel Léonard, Guillaume Piché, Alain Dubois, Marie-France Kairy, Dahlia Bravo, Gina Corriveau, Hélène Marquis, Nicole Tousignant, Michel Chassé, Michaël Carvalho, Livia Pinheiro Qual Life Res Article PURPOSE: A significant number of people will experience prolonged symptoms after COVID-19 infection that will greatly impact functional capacity and quality of life. The aim of this study was to identify trajectories of health-related quality of life (HRQOL) and their predictors among adults diagnosed with COVID-19. METHODS: This is a retrospective analysis of an ongoing prospective cohort study (BQC-19) including adults (≥18y) recruited from April 2020 to March 2022. Our primary outcome is HRQOL using the EQ-5D-5L scale. Sociodemographic, acute disease severity, vaccination status, fatigue, and functional status at onset of the disease were considered as potential predictors. The latent class mixed model was used to identify the trajectories over an 18-month period in the cohort as a whole, as well as in the inpatient and outpatient subgroups. Multivariable and univariable regressions models were undertaken to detect predictors of decline. RESULTS: 2163 participants were included. Thirteen percent of the outpatient subgroup (2 classes) and 28% in the inpatient subgroup (3 classes) experienced a more significant decline in HRQOL over time than the rest of the participants. Among all patients, age, sex, disease severity and fatigue, measured on the first assessment visit or on the first day after hospital admission (multivariable models), were identified as the most important predictors of HRQOL decline. Each unit increase in the SARC-F and CFS scores increase the likelihood of belonging to the declining trajectory (univariable models). CONCLUSION: Although to different degrees, similar factors explain the decline in HRQOL over time among the overall population, people who have been hospitalized or not. Clinical functional capacity scales could help to determine the risk of HRQOL decline. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11136-023-03406-0. Springer International Publishing 2023-04-01 /pmc/articles/PMC10066943/ /pubmed/37004627 http://dx.doi.org/10.1007/s11136-023-03406-0 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Tanguay, Pamela
Décary, Simon
Lemaire-Paquette, Samuel
Léonard, Guillaume
Piché, Alain
Dubois, Marie-France
Kairy, Dahlia
Bravo, Gina
Corriveau, Hélène
Marquis, Nicole
Tousignant, Michel
Chassé, Michaël
Carvalho, Livia Pinheiro
Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title_full Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title_fullStr Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title_full_unstemmed Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title_short Trajectories of health-related quality of life and their predictors in adult COVID-19 survivors: A longitudinal analysis of the Biobanque Québécoise de la COVID-19 (BQC-19)
title_sort trajectories of health-related quality of life and their predictors in adult covid-19 survivors: a longitudinal analysis of the biobanque québécoise de la covid-19 (bqc-19)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10066943/
https://www.ncbi.nlm.nih.gov/pubmed/37004627
http://dx.doi.org/10.1007/s11136-023-03406-0
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