Characterisation, symptom pattern and symptom clusters from a retrospective cohort of Long COVID patients in primary care in Catalonia

© 2024. The Author(s)..

BACKGROUND: 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:24

Enthalten in:

BMC infectious diseases - 24(2024), 1 vom: 15. Jan., Seite 82

Sprache:

Englisch

Beteiligte Personen:

Torrell, Gemma [VerfasserIn]
Puente, Diana [VerfasserIn]
Jacques-Aviñó, Constanza [VerfasserIn]
Carrasco-Ribelles, Lucia A [VerfasserIn]
Violán, Concepció [VerfasserIn]
López-Jiménez, Tomás [VerfasserIn]
Royano, Veronica [VerfasserIn]
Cantón, Alba Molina [VerfasserIn]
Medina-Perucha, Laura [VerfasserIn]
Rodríguez-Giralt, Israel [VerfasserIn]
Berenguera, Anna [VerfasserIn]

Links:

Volltext

Themen:

Cluster analysis
Journal Article
Long COVID
Participatory research
Post-COVID-19 syndrome
Primary health care
SARS-CoV-2

Anmerkungen:

Date Completed 17.01.2024

Date Revised 18.01.2024

published: Electronic

Citation Status MEDLINE

doi:

10.1186/s12879-023-08954-x

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367161435