Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/183909
Title: | Patterns of Long COVID Symptoms: A Multi-Center Cross Sectional Study |
Author: | Yelin, Dana Margalit, Ili Nehme, Mayssam Bordas Martínez, Jaume Pistelli, Francesco Yahav, Dafna Guessous, Idris Durà Miralles, Xavier Carrozzi, Laura Shapira-Lichter, Irit Vetter, Pauline Peleato Catalan, Dolores Tiseo, Giusy Wirtheim, Eytan Kaiser, Laurent Gudiol González, Carlota Falcone, Marco Leibovici, Leonard Longcov Research Group |
Keywords: | COVID-19 Serveis de cures de llarga durada COVID-19 Long-term care facilities |
Issue Date: | 9-Feb-2022 |
Publisher: | MDPI AG |
Abstract: | Background: Long COVID has become a burden on healthcare systems worldwide. Research into the etiology and risk factors has been impeded by observing all diverse manifestations as part of a single entity. We aimed to determine patterns of symptoms in convalescing COVID-19 patients. Methods: Symptomatic patients were recruited from four countries. Data were collected regarding demographics, comorbidities, acute disease and persistent symptoms. Factor analysis was performed to elucidate symptom patterns. Associations of the patterns with patients' characteristics, features of acute disease and effect on daily life were sought. Results: We included 1027 symptomatic post-COVID individuals in the analysis. The majority of participants were graded as having a non-severe acute COVID-19 (N = 763, 74.3%). We identified six patterns of symptoms: cognitive, pain-syndrome, pulmonary, cardiac, anosmia-dysgeusia and headache. The cognitive pattern was the major symptoms pattern, explaining 26.2% of the variance; the other patterns each explained 6.5-9.5% of the variance. The cognitive pattern was higher in patients who were outpatients during the acute disease. The pain-syndrome pattern was associated with acute disease severity, higher in women and increased with age. The pulmonary pattern was associated with prior lung disease and severe acute disease. Only two of the patterns (cognitive and cardiac) were associated with failure to return to pre-COVID occupational and physical activity status. Conclusion: Long COVID diverse symptoms can be grouped into six unique patterns. Using these patterns in future research may improve our understanding of pathophysiology and risk factors of persistent COVID, provide homogenous terminology for clinical research, and direct therapeutic interventions. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/jcm11040898 |
It is part of: | Journal of Clinical Medicine, 2022, vol 11, num 4 |
URI: | http://hdl.handle.net/2445/183909 |
Related resource: | https://doi.org/10.3390/jcm11040898 |
ISSN: | 2077-0383 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
jcm-11-00898-v2.pdf | 394.59 kB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License