Cluster analysis of long COVID in Japan and association of its trajectory of symptoms and quality of life

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..

BACKGROUND: Multiple prolonged symptoms observed in patients who recovered from COVID-19 are defined as long COVID. Although diverse phenotypic combinations are possible, they remain unclear. This study aimed to perform a cluster analysis of long COVID in Japan and clarify the association between its characteristics and background factors and quality of life (QOL).

METHODS: This multicentre prospective cohort study collected various symptoms and QOL after COVID-19 from January 2020 to February 2021. This study included 935 patients aged ≥18 years with COVID-19 at 26 participating medical facilities. Hierarchical cluster analysis was performed using 24 long COVID symptom at 3 months after diagnosis.

RESULTS: Participants were divided into the following five clusters: numerous symptoms across multiple organs (cluster 1, n=54); no or minor symptoms (cluster 2, n=546); taste and olfactory disorders (cluster 3, n=76); fatigue, psychoneurotic symptoms and dyspnoea (low prevalence of cough and sputum) (cluster 4, n=207) and fatigue and dyspnoea (high prevalence of cough and sputum) (cluster 5, n=52). Cluster 1 included elderly patients with severe symptoms, while cluster 3 included young female with mild symptoms. No significant differences were observed in the comorbidities. Cluster 1 showed the most impaired QOL, followed by clusters 4 and 5; these changes as well as the composition of symptoms were observed over 1 year.

CONCLUSIONS: We identified patients with long COVID with diverse characteristics into five clusters. Future analysis of these different pathologies could result in individualised treatment of long COVID.

TRIAL REGISTRATION NUMBER: The study protocol is registered at UMIN clinical trials registry (UMIN000042299).

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:11

Enthalten in:

BMJ open respiratory research - 11(2024), 1 vom: 23. Feb.

Sprache:

Englisch

Beteiligte Personen:

Ito, Fumimaro [VerfasserIn]
Terai, Hideki [VerfasserIn]
Kondo, Masahiro [VerfasserIn]
Takemura, Ryo [VerfasserIn]
Namkoong, Ho [VerfasserIn]
Asakura, Takanori [VerfasserIn]
Chubachi, Shotaro [VerfasserIn]
Masuzawa, Keita [VerfasserIn]
Nakayama, Sohei [VerfasserIn]
Suzuki, Yusuke [VerfasserIn]
Hashiguchi, Mizuha [VerfasserIn]
Kagyo, Junko [VerfasserIn]
Shiomi, Tetsuya [VerfasserIn]
Minematsu, Naoto [VerfasserIn]
Manabe, Tadashi [VerfasserIn]
Fukui, Takahiro [VerfasserIn]
Funatsu, Yohei [VerfasserIn]
Koh, Hidefumi [VerfasserIn]
Masaki, Katsunori [VerfasserIn]
Ohgino, Keiko [VerfasserIn]
Miyata, Jun [VerfasserIn]
Kawada, Ichiro [VerfasserIn]
Ishii, Makoto [VerfasserIn]
Sato, Yasunori [VerfasserIn]
Fukunaga, Koichi [VerfasserIn]

Links:

Volltext

Themen:

COVID-19
Infection control
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't

Anmerkungen:

Date Completed 26.02.2024

Date Revised 04.03.2024

published: Electronic

Citation Status MEDLINE

doi:

10.1136/bmjresp-2023-002111

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368854450