PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions
Version 1
: Received: 7 April 2024 / Approved: 8 April 2024 / Online: 9 April 2024 (09:01:21 CEST)
How to cite:
Janols, H.; Wadsten, C.; Forssell, C.; Raffeti, E.; Janson, C.; Zhou, X.; Kisiel, M.A. Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions. Preprints2024, 2024040602. https://doi.org/10.20944/preprints202404.0602.v1
Janols, H.; Wadsten, C.; Forssell, C.; Raffeti, E.; Janson, C.; Zhou, X.; Kisiel, M.A. Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions. Preprints 2024, 2024040602. https://doi.org/10.20944/preprints202404.0602.v1
Janols, H.; Wadsten, C.; Forssell, C.; Raffeti, E.; Janson, C.; Zhou, X.; Kisiel, M.A. Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions. Preprints2024, 2024040602. https://doi.org/10.20944/preprints202404.0602.v1
APA Style
Janols, H., Wadsten, C., Forssell, C., Raffeti, E., Janson, C., Zhou, X., & Kisiel, M.A. (2024). Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions. Preprints. https://doi.org/10.20944/preprints202404.0602.v1
Chicago/Turabian Style
Janols, H., Xingwu Zhou and Marta A. Kisiel. 2024 "Enhancing EQ-5D-5L sensitivity in capturing the most common symptoms in post COVID-19 patients: an exploratory cross-sectional study with focus on fatigue, memory/concentration problems and dyspnea dimensions" Preprints. https://doi.org/10.20944/preprints202404.0602.v1
Abstract
This study aimed to determine whether the EQ-5D-5L tool captures the most common persistent symptoms, such as fatigue, memory/concentration problems and dyspnea in patients with post COVID-19 conditions, and if adding these symptoms improves the explained variance of the health-related quality of life (HRQoL). In this exploratory cross-sectional study, two cohorts of Swedish patients (n=177) with a history of COVID-19 infection answeared a questionnaire covering sociodemographic characteristics, clinical factors and HRQoL assessed using EQ-5D-5L with the Visual Analogue Scale (EQ-VAS). Spearman rank correlation and multiple regression analyses were employed to investigate the extent to which the most common persistent symptoms such as fatigue, memory/concentration problems and dyspnea were explained by the EQ-5D-5L. The explanatory power of EQ-5D-5L for EQ-VAS was also analysed, both with and without inclusion of symptom(s). We found that the EQ-5D-5L dimensions partly captured fatigue and memory/concentration problems but performed poorly in capturing dyspnea. Specifically, the EQ-5D-5L explained 55% of the variance in memory/concentration problems, 47% in fatigue and only 14% in dyspnea. Adding fatigue to the EQ-5D-5L increased the explained variance of the EQ-VAS by 5.7%, while the addition of memory/concentration problems and dyspnea had a comparatively smaller impact on the explained variance. Our study highlights the EQ-5D-5L’s strength in capturing fatigue and memory/concentration problems in post COVID-19 patients. However, it also underscores the challenges in assessing dyspnea in this group. Fatigue emerged as a notably influential symptom, significantly enhancing the EQ-5D-5L's predictive ability to for the EQ-VAS score in these patients.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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