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

Author:

Sivan Manoj123ORCID,Smith Adam B.45,Osborne Thomas1ORCID,Goodwin Madeline1,Lawrence Román Rocha16ORCID,Baley Sareeta7,Williams Paul8,Lee Cassie9ORCID,Davies Helen10,Balasundaram Kumaran11,Greenwood Darren C.45ORCID

Affiliation:

1. Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds LS7 4SA, UK

2. COVID Rehabilitation Service, Leeds Community Healthcare NHS Trust, Leeds LS11 0DL, UK

3. National Demonstration Centre of Rehabilitation Medicine, Leeds Teaching Hospitals NHS Trust, Leeds LS7 4SA, UK

4. School of Medicine, University of Leeds, Leeds LS2 9JT, UK

5. Leeds Institute for Data Analytics, University of Leeds, Leeds LS2 9JT, UK

6. ELAROS 24/7 Digital Company, Sheffield S1 2BJ, UK

7. Birmingham Community Healthcare NHS Trust, Birmingham B7 4BN, UK

8. Hertfordshire Community NHS Trust, Welwyn AL6 9PW, UK

9. Imperial College Healthcare NHS Trust, London W2 1NY, UK

10. Cardiff and Vale University Hospitals NHS Trust, Cardiff CF14 4XW, UK

11. NIHR Leicester Biomedical Research Centre—Respiratory & Infection Theme, Glenfield Hospital, Leicester LE3 9QP, UK

Abstract

Background: Long COVID (LC) is a multisystem clinical syndrome with functional disability and compromised overall health. Information on LC clinical severity types is emerging in cross-sectional studies. This study explored the pattern and consistency of long COVID (LC) clinical severity types over time in a prospective sample. Methods: Participants with LC completed the condition-specific outcome measure C19-YRSm (Yorkshire Rehabilitation Scale modified version) at two assessment time points. A cluster analysis for clinical severity types was undertaken at both time points using the k-means partition method. Results: The study included cross-sectional data for 759 patients with a mean age of 46.8 years (SD = 12.7), 69.4% females, and a duration of symptoms of 360 days (IQR 217 to 703 days). The cluster analysis at first assessment revealed three distinct clinical severity type clusters: mild (n = 96), moderate (n = 422), and severe (n = 241). Longitudinal data on 356 patients revealed that the pattern of three clinical severity types remained consistent over time between the two assessments, with 51% of patients switching clinical severity types between the assessments. Conclusions: This study is the first of its kind to demonstrate that the pattern of three clinical severity types is consistent over time, with patients also switching between severity types, indicating the fluctuating nature of LC.

Funder

National Institute for Health Research

NHS England

Publisher

MDPI AG

Reference34 articles.

1. How and why patients made Long COVID;Callard;Soc. Sci. Med.,2021

2. NICE (2022). COVID-19 Rapid Guideline: Managing the Long-Term Effects of COVID-19, NICE.

3. A clinical case definition of post-COVID-19 condition by a Delphi consensus;Soriano;Lancet Infect. Dis.,2022

4. ONS (2023, March 04). Prevalence of Ongoing Symptoms following Coronavirus (COVID-19) Infection in the UK: 2 February 2023, Available online: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronaviruscovid19infectionintheuk/2february2023.

5. Global Prevalence of Post-Coronavirus Disease 2019 (COVID-19) Condition or Long COVID: A Meta-Analysis and Systematic Review;Chen;J. Infect. Dis.,2022

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3