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Long Covid Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation

30 Pages Posted: 29 Nov 2023

See all articles by Manoj Sivan

Manoj Sivan

University of Leeds - Leeds Institute of Rheumatic and Musculoskeletal Medicine

Adam B. Smith

University of Leeds

Thomas Osborne

University of Leeds

Madeline Goodwin

University of Leeds

Román Rocha Lawrence

University of Leeds

Sareeta Baley

Birmingham Community Healthcare Trust

Paul Williams

Hertfordshire Community NHS Trust

Cassie Lee

Imperial College London - Imperial College Healthcare NHS Trust

Helen Davies

Cardiff and Vale University Hospitals NHS Trust

Kumaran Balasundaram

University of Leicester - NIHR Leicester Biomedical Research Centre

Darren C. Greenwood

University of Leeds - Institute of Cardiovascular and Metabolic Medicine

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Abstract

Background: Long Covid (LC) is a multisystem clinical syndrome with Functional Disability (FD) and compromised Overall Health (OH). There is a lack of distinct clinical symptom clusters (phenotypes) identified in LC so far but there is emerging information on LC clinical severity types. This study explores the consistency of these clinical severity types over time and the relationship between Symptom Severity (SS), FD, and OH in the context of the clinical severity types in a prospective sample.

Methods: A purposive sample of LC patients recruited to the LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION) study were assessed using the modified COVID-19 Yorkshire Rehabilitation Scale (C19-YRSm) at two assessment time points. A cluster analysis for clinical severity types was undertaken at both time points using k-means partition using two, three, and four initial clusters and different starting values. Cluster analysis was also carried out to assess the presence of symptom phenotypes (symptom clusters).

Findings: Cross-sectional data was available for 759 patients with 356 patients completing C19-YRSm at the two assessment points. Mean age was 46·8 years (SD = 12·7), 69·4% were females, and median duration of LC symptoms at first assessment was 360 days (IQR 217 to 703 days). Cluster analysis revealed three distinct SS and FD clinical severity types - mild (N=96), moderate (N=422), and severe (N=241) - with no distinct symptom phenotypes. The three-level clinical severity pattern remained consistent over time between the two assessments, with 51% of patients switching the clinical severity type between the assessments. The fluctuation was independent of the LC severity and time between the assessments.

Interpretation: This is the first study in the literature to show the consistency of the three clinical severity types over time with patients also switching between severity types indicating the fluctuating nature of LC.

Funding: This work is supported by grants from the National Institute for Health and Care Research (NIHR - Ref: COV-LT2-0016) and NHS England.

Declaration of Interests: None of the authors has any conflicting interests.

Ethics Approval: This prospective study is part of an NIHR-funded LOng COvid Multidisciplinary consortium Optimising Treatments and servIces acrOss the NHS (LOCOMOTION) mixed-methods study involving ten LC services across the UK. Ethics approval for the LOCOMOTION study was obtained from the Bradford and Leeds Research Ethics Committee on behalf of Health Research Authority and Health and Care Research Wales (reference: 21/YH/0276).

Keywords: SARS CoV-2, Post-COVID-19 condition, Post-COVID-19 syndrome, C19-YRS, phenotypes

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Suggested Citation

Sivan, Manoj and Smith, Adam B. and Osborne, Thomas and Goodwin, Madeline and Lawrence, Román Rocha and Baley, Sareeta and Williams, Paul and Lee, Cassie and Davies, Helen and Balasundaram, Kumaran and Greenwood, Darren C., Long Covid Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation. Available at SSRN: https://ssrn.com/abstract=4642650 or http://dx.doi.org/10.2139/ssrn.4642650

Manoj Sivan (Contact Author)

University of Leeds - Leeds Institute of Rheumatic and Musculoskeletal Medicine

Adam B. Smith

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Thomas Osborne

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Madeline Goodwin

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Román Rocha Lawrence

University of Leeds ( email )

Leeds, LS2 9JT
United Kingdom

Sareeta Baley

Birmingham Community Healthcare Trust ( email )

Paul Williams

Hertfordshire Community NHS Trust ( email )

Cassie Lee

Imperial College London - Imperial College Healthcare NHS Trust ( email )

Praed St
London
United Kingdom

Helen Davies

Cardiff and Vale University Hospitals NHS Trust ( email )

Kumaran Balasundaram

University of Leicester - NIHR Leicester Biomedical Research Centre ( email )

Leicester
United Kingdom

Darren C. Greenwood

University of Leeds - Institute of Cardiovascular and Metabolic Medicine ( email )

United Kingdom

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