Logo image
Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries
Article de revue scientifique   Avec comité de lecture

Clusters of post-acute COVID-19 symptoms: a latent class analysis across 9 databases and 7 countries

Kim López-Güell, Martí Català, Daniel Dedman, Talita Duarte-Salles, Raivo Kolde, Raúl López-Blasco, Álvaro Martínez, Gregoire Mercier, Alicia Abellan, Johnmary T. Arinze, …
Journal of clinical epidemiology, Vol.185, p.111867-111867
01/09/2025
PMID: 40517846

Résumé

Clustering Latent class analysis Long COVID Post-acute COVID-19 condition Real-world data
Prior evidence has suggested the multisystem symptomatic manifestations of post-acute COVID-19 condition (PCC). Here we conducted a network cluster analysis of 24 World Health Organization–proposed symptoms to identify potential latent subclasses of PCC. Individuals with a positive test of or diagnosed with SARS-CoV-2 after September 2020 and with at least 1 symptom within ≥90 to 365 days following infection were included. Subanalyses were conducted among people with ≥3 different symptoms. Summary characteristics were provided for each cluster. All analyses were conducted separately in 9 databases from 7 countries, including data from primary care, hospitals, national health claims and national health registries, allowing to compare clusters across the different healthcare settings. This study included 787,078 persons with PCC. Single-symptom clusters were common across all databases, particularly for joint pain, anxiety, depression and allergy. Complex clusters included anxiety-depression and abdominal-gastrointestinal symptoms. Substantial heterogeneity within and between PCC clusters was seen across health-care settings. Current definitions of PCC should be critically reviewed to reflect this variety in clinical presentation. •This study included 787,078 persons with post-acute COVID-19 condition (PCC), which makes it the largest international PCC study to our knowledge.•Complex multisymptomatic clusters included anxiety-depression, abdominal-gastrointestinal symptoms, and respiratory problems with fatigue and joint pain.•Substantial heterogeneity was seen across health-care settings.

Indicateurs

1 Consultations de la notice

Détails

Logo image