Post-COVID-19 condition is not only a question of persistent symptoms: structured screening including health-related quality of life reveals two separate clusters of post-COVID.
Cluster analysis
Differentiation
Post-COVID condition
Post-COVID-19
Prevalence
QoL
Journal
Infection
ISSN: 1439-0973
Titre abrégé: Infection
Pays: Germany
ID NLM: 0365307
Informations de publication
Date de publication:
Apr 2023
Apr 2023
Historique:
received:
13
05
2022
accepted:
06
07
2022
medline:
29
3
2023
pubmed:
23
7
2022
entrez:
22
7
2022
Statut:
ppublish
Résumé
Some patients experience long-term sequelae after infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, despite a present post-COVID condition, defined as "any symptom lasting longer than 12 weeks," only a subset of patients search for medical help and therapy. We invited all adults with a positive real-time polymerase chain reaction (RT-PCR) for SARS-CoV-2 between March 2020 and September 2021 (n = 4091) in the city of Jena to answer a standardized questionnaire including demographic information, the course of the acute infection and current health status. K-means-clustering of quality of life (QoL) was used to explore post-COVID subgroups. A total of 909 participants at a median interval of 367 (IQR 291/403) days after acute infection were included in the analysis. Of those, 643 (70.7%) complained of having experienced persistent symptoms at the time of the survey. Cluster analysis based on QoL revealed two subgroups of people with persistent post-COVID symptoms. Whereas 189/643 participants (29.4%) showed markedly diminished QoL, normal QoL was detected in 454/643 individuals (70.6%). Despite persistent symptoms being reported by nearly three quarters of participants, only one-third of these described a significant reduction in QoL (cluster 1), whereas the other two-thirds reported a near-normal QoL (cluster 2), thus indicating a differentiation between "post-COVID disease" and "post-COVID condition". The prevalence of clinically relevant post-COVID disease was at least 20.7%. Health policies should focus on this subset.
Identifiants
pubmed: 35869353
doi: 10.1007/s15010-022-01886-9
pii: 10.1007/s15010-022-01886-9
pmc: PMC9307219
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
365-377Subventions
Organisme : Interdisciplinary Centre for Clinical Research (IZKF) Jena
ID : IZKF-CSPOA19
Organisme : Thüringer Aufbaubank
ID : 2021FGI0060
Informations de copyright
© 2022. The Author(s).
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