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Long COVID Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation
Manoj Sivan1,2,3, Adam B Smith4,5, Thomas Osborne1
1Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds LS7 4SA, UK.
Long COVID (LC) severity types remained consistent over time, with a significant portion of patients switching between mild, moderate, and severe categories, highlighting the fluctuating nature of this condition.
Area of Science:
- Medical research
- Clinical studies
- Longitudinal analysis
Background:
- Long COVID (LC) is a complex multisystem condition impacting overall health and causing functional disability.
- Existing research on LC clinical severity types primarily relies on cross-sectional data.
- Understanding the temporal patterns of LC severity is crucial for patient management.
Purpose of the Study:
- To investigate the pattern and consistency of Long COVID (LC) clinical severity types over time.
- To analyze the longitudinal changes in LC severity using a prospective sample.
- To identify distinct clinical severity clusters in Long COVID patients.
Main Methods:
- Prospective cohort study involving Long COVID patients.
- Utilized the C19-YRSm (Yorkshire Rehabilitation Scale modified version) outcome measure at two time points.
- Employed k-means cluster analysis to define clinical severity types at each assessment.
Main Results:
- Analysis of 759 patients revealed three distinct LC clinical severity types: mild, moderate, and severe.
- Longitudinal data from 356 patients showed a consistent pattern of these three severity types over time.
- Approximately 51% of patients transitioned between clinical severity types between assessments.
Conclusions:
- This study provides the first evidence of a consistent pattern in Long COVID clinical severity types over time.
- The findings indicate a fluctuating nature of Long COVID, with patients moving between severity categories.
- These insights are vital for developing dynamic management strategies for Long COVID patients.
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