Health-related quality of life in survivors of severe COVID-19 infection
Background Long-term effects of Coronavirus Disease 2019 (COVID-19) are increasingly recognized as having a significant impact on Health-Related Quality of Life (HRQoL). Understanding HRQoL status for each patient affected by long COVID-19 and its determinants may have a key role to prevent and treat this condition. Methods In this prospective observational study conducted in a large academic COVID-19 hospital in Rome, participants were contacted 2 years after hospital admission for severe COVID-19. To assess HRQoL, EQ-5D-5L and Visual analog scale (EQ VAS) standard questionnaires were administered by interview. Logistic regression model was used to the five health dimensions as dependent variables (0 = no problem, 1 = some/extreme problem). Key results In 137 enrolled patients, the mean pre-COVID and post-COVID EQ-5D-5L index and EQ-VAS score were 0.97 (SD 0.06), 0.79 (SD 0.26) and 72.38 (SD 15.18), respectively. After subdivision of the participants for clinical and social variables, the EQ-5D-5L index resulted significantly lower than in the pre-COVID-19 period. Female gender, unemployed status, and chronic comorbidities were the most common predictors for having any problems in each EQ-5D-5L domain, while also older age and higher Body Mass Index (BMI) showed to be related to a lower EQ-VAS score. Conclusion HRQoL showed to be still low in patients 2 years after acute severe COVID-19. Given the significant impact of SARS-CoV-2 on long-term chronic symptoms, predictors of poor outcomes must be considered during the acute phase of illness to plan a tailored follow-up path for each patient..
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2022 |
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Erschienen: |
2022 |
Enthalten in: |
Zur Gesamtaufnahme - volume:74 |
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Enthalten in: |
Pharmacological reports - 74(2022), 6 vom: 14. Nov., Seite 1286-1295 |
Sprache: |
Englisch |
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Beteiligte Personen: |
d’Ettorre, Gabriele [VerfasserIn] |
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Links: |
Volltext [lizenzpflichtig] |
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Themen: |
COVID-19 |
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Anmerkungen: |
© The Author(s) under exclusive licence to Maj Institute of Pharmacology Polish Academy of Sciences 2022. 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. |
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doi: |
10.1007/s43440-022-00433-5 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
OLC2133000550 |
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520 | |a Background Long-term effects of Coronavirus Disease 2019 (COVID-19) are increasingly recognized as having a significant impact on Health-Related Quality of Life (HRQoL). Understanding HRQoL status for each patient affected by long COVID-19 and its determinants may have a key role to prevent and treat this condition. Methods In this prospective observational study conducted in a large academic COVID-19 hospital in Rome, participants were contacted 2 years after hospital admission for severe COVID-19. To assess HRQoL, EQ-5D-5L and Visual analog scale (EQ VAS) standard questionnaires were administered by interview. Logistic regression model was used to the five health dimensions as dependent variables (0 = no problem, 1 = some/extreme problem). Key results In 137 enrolled patients, the mean pre-COVID and post-COVID EQ-5D-5L index and EQ-VAS score were 0.97 (SD 0.06), 0.79 (SD 0.26) and 72.38 (SD 15.18), respectively. After subdivision of the participants for clinical and social variables, the EQ-5D-5L index resulted significantly lower than in the pre-COVID-19 period. Female gender, unemployed status, and chronic comorbidities were the most common predictors for having any problems in each EQ-5D-5L domain, while also older age and higher Body Mass Index (BMI) showed to be related to a lower EQ-VAS score. Conclusion HRQoL showed to be still low in patients 2 years after acute severe COVID-19. Given the significant impact of SARS-CoV-2 on long-term chronic symptoms, predictors of poor outcomes must be considered during the acute phase of illness to plan a tailored follow-up path for each patient. | ||
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