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2025 (English) In: Journal of Infection and Public Health, ISSN 1876-0341, E-ISSN 1876-035X, Vol. 18, no 12, article id 102994Article in journal (Refereed) Published
Abstract [en] BACKGROUND: Current evidence indicates that Post COVID-19 Condition (PCC) is multifaceted with distinct phenotypes. While previous studies have identified symptom clusters-commonly featuring fatigue, respiratory symptoms, and cognitive impairment-findings have been inconsistent, and no clear consensus exists. Moreover, how these symptom clusters evolve over time, particularly beyond the first year post-infection, remains poorly understood.
METHODS: This multicentre prospective cohort study included 470 hospitalised and non-hospitalised adult individuals from the CoVUm study across four sites in Sweden between 2020 and 2021. Follow-ups were conducted up to 3 years after infection to assess persistent symptoms, health-related quality of life (HRQoL), and work capacity. Symptom clusters at 6 months were identified via hierarchical cluster analysis, and participants were tracked using a k-nearest neighbour algorithm.
RESULTS: The most common symptoms at 6 months were fatigue (33 %), dyspnoea (32 %), mental fatigue (30 %), and concentration difficulties (28 %), with a median EQ-5D-5L index of 0.98 (IQR 0.93-1). Four distinct symptom clusters were identified: (i) "Few Symptoms" (n = 265, 57 %), (ii) "Respiratory Symptoms" (n = 66, 14 %), (iii) "Neurocognitive Symptoms" (n = 75, 16 %), and (iv) "Multisystem Symptoms" (n = 52, 11 %). Participants in the latter three clusters were older, had more comorbidities, and were more often hospitalised during primary COVID-19 infection. These clusters also had significantly lower HRQoL compared to the "Few Symptoms" cluster. Over time, more than half of participants transitioned to a cluster with fewer or no symptoms, with significant perceived HRQoL improvement in the "Multisystem Symptoms" cluster.
CONCLUSION: While many patients with PCC improved over time, a subset had persistent symptoms at 3 years, especially if primary infection required hospitalisation. The identification of symptom clusters and their trajectories over time contributes to a better understanding of PCC heterogeneity, ultimately bringing the field closer to consensus on the classification and long-term impact of PCC.
Place, publisher, year, edition, pages
Elsevier, 2025
Keywords COVID-19, Clusters, HRQoL, Long-covid, Post COVID-19 condition, Symptoms
National Category
Epidemiology Infectious Medicine
Identifiers urn:nbn:se:oru:diva-124430 (URN) 10.1016/j.jiph.2025.102994 (DOI) 001597581000001 () 41086513 (PubMedID) 2-s2.0-105018607972 (Scopus ID)
Funder Sjukvårdsregionala forskningsrådet Mellansverige, RFR-OLL-961416Swedish Research Council, 2020-06235Swedish Research Council, 2016–06514Swedish Heart Lung Foundation, 20200325Swedish Heart Lung Foundation, 20210078Umeå UniversityRegion Västerbotten, #RV-938855Region Värmland, LIVFOU-939646Region VästmanlandRegion Örebro CountyKnut and Alice Wallenberg Foundation, VC-2020–0015
Note Funding Agencies:
This project was supported by grants from the Regional Research Council Mid Sweden (RFR-OLL-961416), Swedish Research Council (2020–06235, 2016–06514), Swedish Heart-Lung Foundation (20200325, 20210078), Umeå University and Region Västerbotten (#RV-938855), Region Värmland (LIVFOU-939646), Region Västmanland, ALF funding Region Örebro County, Wallenberg Center for Molecular Medicine (3455–22010), and Knut and Alice Wallenberg Foundation (VC-2020–0015).
2025-10-152025-10-152026-01-23 Bibliographically approved