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Clustering Analysis Identified Three Long COVID Phenotypes and Their Association with General Health Status and Working Ability

Kisiel, Marta A., 1984- (författare)
Uppsala universitet,Arbets- och miljömedicin
Lee, Seika (författare)
Karolinska Inst, Dept Neurobiol Care Sci & Soc, Primary Care Med, S-17177 Stockholm, Sweden.
Malmquist, Sara (författare)
Uppsala universitet,Statistiska institutionen
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Rykatkin, Oliver (författare)
Uppsala universitet,Statistiska institutionen
Holgert, Sebastian (författare)
Uppsala universitet,Arbets- och miljömedicin
Janols, Helena (författare)
Uppsala universitet,Infektionsmedicin
Janson, Christer (författare)
Uppsala universitet,Lung- allergi- och sömnforskning
Zhou, Xingwu (författare)
Uppsala universitet,Statistiska institutionen,Klinisk fysiologi,Lung- allergi- och sömnforskning
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 (creator_code:org_t)
MDPI, 2023
2023
Engelska.
Ingår i: Journal of Clinical Medicine. - : MDPI. - 2077-0383. ; 12:11
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Background/aim: This study aimed to distinguish different phenotypes of long COVID through the post-COVID syndrome (PCS) score based on long-term persistent symptoms following COVID-19 and evaluate whether these symptoms affect general health and work ability. In addition, the study identified predictors for severe long COVID.Method: This cluster analysis included cross-sectional data from three cohorts of patients after COVID-19: non-hospitalized (n = 401), hospitalized (n = 98) and those enrolled at the post-COVID outpatient's clinic (n = 85). All the subjects responded to the survey on persistent long-term symptoms and sociodemographic and clinical factors. K-Means cluster analysis and ordinal logistic regression were used to create PCS scores that were used to distinguish patients' phenotypes.Results: 506 patients with complete data on persistent symptoms were divided into three distinct phenotypes: none/mild (59%), moderate (22%) and severe (19%). The patients with severe phenotype, with the predominating symptoms were fatigue, cognitive impairment and depression, had the most reduced general health status and work ability. Smoking, snuff, body mass index (BMI), diabetes, chronic pain and symptom severity at COVID-19 onset were factors predicting severe phenotype.Conclusion: This study suggested three phenotypes of long COVID, where the most severe was associated with the highest impact on general health status and working ability. This knowledge on long COVID phenotypes could be used by clinicians to support their medical decisions regarding prioritizing and more detailed follow-up of some patient groups.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Nyckelord

long COVID phenotypes
persistent long-term symptoms
COVID-19
working ability
general health status

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