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dc.contributor.authorTorrell, Gemma
dc.contributor.authorPuente, Diana
dc.contributor.authorJacques Aviñó, Constanza
dc.contributor.authorCarrasco Ribelles, Lucía A.
dc.contributor.authorViolán, Concepció
dc.contributor.authorLópez Jiménez, Tomás
dc.contributor.authorRoyano García, Verónica
dc.contributor.authorMolina Cantón, Alba
dc.contributor.authorMedina Perucha, Laura
dc.contributor.authorRodríguez Giralt, Israel
dc.contributor.authorBerenguera, Anna
dc.date.accessioned2025-05-22T05:52:50Z
dc.date.available2025-05-22T05:52:50Z
dc.date.issued2024
dc.identifier.citationTorrell, G., Puente, D., Jacques-Aviñó, C. et al. Characterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Catalonia. BMC Infect Dis 24, 82 (2024). https://doi.org/10.1186/s12879-023-08954-xes
dc.identifier.issn1471-2334
dc.identifier.urihttp://hdl.handle.net/20.500.12251/3860
dc.description.abstractBackground: Around 10% of people infected by SARS-COV-2 report symptoms that persist longer than 3 months. Little has been reported about sex differences in symptoms and clustering over time of non-hospitalised patients in primary care settings. Methods: This is a descriptive study of a cohort of mainly non-hospitalized patients with a persistence of symptoms longer than 3 months from the clinical onset in co-creation with the Long Covid Catalan affected group using an online survey. Recruitment was from March 2020 to June 2021. Exclusion criteria were being admitted to an ICU, < 18 years of age and not living in Catalonia. We focused on 117 symptoms gathered in 18 groups and performed cluster analysis over the first 21 days of infection, at 22–60 days, and ≥ 3 months. Results: We analysed responses of 905 participants (80.3% women). Median time between symptom onset and the questionnaire response date was 8.7 months. General symptoms (as fatigue) were the most prevalent with no differences by sex, age, or wave although its frequency decreased over time (from 91.8 to 78.3%). Dermatological (52.1% in women, 28.5% in men), olfactory (34.9% women, 20.9% men) and neurocognitive symptoms (70.1% women, 55.8% men) showed the greatest differences by sex. Cluster analysis showed five clusters with a predominance of Taste & smell (24.9%) and Multisystemic clusters (26.5%) at baseline and _Multisystemic (34.59%) and Heterogeneous (24.0%) at ≥3 months. The Multisystemic cluster was more prevalent in men. The Menstrual cluster was the most stable over time, while most transitions occurred from the Heterogeneous cluster to the Multisystemic cluster and from Taste & smell to Heterogeneous. Conclusions: General symptoms were the most prevalent in both sexes at three-time cut-off points. Major sex differences were observed in dermatological, olfactory and neurocognitive symptoms. The increase of the Heterogeneous cluster might suggest an adaptation to symptoms or a non-specific evolution of the condition which can hinder its detection at medical appointments. A carefully symptom collection and patients’ participation in research may generate useful knowledge about Long Covid presentation in primary care settings.es
dc.language.isoenges
dc.publisherBMCes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleCharacterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Cataloniaes
dc.typearticlees
dc.identifier.doi10.1186/s12879-023-08954-x
dc.identifier.urlhttps://doi.org/10.1186/s12879-023-08954-xes
dc.issue.number1es
dc.journal.titleBMC Infectious Diseaseses
dc.rights.accessRightsopenAccesses
dc.subject.keywordCovid-19es
dc.subject.keywordEnfermedades respiratoriases
dc.subject.keywordHospitales
dc.subject.keywordUnidad de Cuidados Intensivos (UCI)es
dc.subject.keywordAnálisis clínicoes
dc.subject.unesco3201.04 Patología Clínicaes
dc.subject.unesco3205.05 Enfermedades Infecciosases
dc.subject.unesco3210 Medicina Preventivaes
dc.subject.unesco3212 Salud Publicaes
dc.volume.number24es


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