Long COVID Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation
: 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...
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| Veröffentlicht in: | Journal of clinical medicine 2024-04, Vol.13 (7), p.1908 |
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| container_title | Journal of clinical medicine |
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| creator | Sivan, Manoj Smith, Adam B Osborne, Thomas Goodwin, Madeline Lawrence, Román Rocha Baley, Sareeta Williams, Paul Lee, Cassie Davies, Helen Balasundaram, Kumaran Greenwood, Darren C |
| description | : 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.
: 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.
: 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 (
= 96), moderate (
= 422), and severe (
= 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.
: 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. |
| doi_str_mv | 10.3390/jcm13071908 |
| format | Article |
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: 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.
: 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 (
= 96), moderate (
= 422), and severe (
= 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.
: 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.</description><identifier>ISSN: 2077-0383</identifier><identifier>EISSN: 2077-0383</identifier><identifier>DOI: 10.3390/jcm13071908</identifier><identifier>PMID: 38610673</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Activities of daily living ; Cluster analysis ; COVID-19 ; Fatigue ; Infections ; Likert scale ; Long COVID ; Patients ; Skin</subject><ispartof>Journal of clinical medicine, 2024-04, Vol.13 (7), p.1908</ispartof><rights>COPYRIGHT 2024 MDPI AG</rights><rights>2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c309t-6a6738c8bd0f1809f7c75889088b641041b177482ac0e019cc61bc0bd6eb080f3</cites><orcidid>0000-0002-3693-1056 ; 0000-0002-0334-2968 ; 0000-0002-1913-9825 ; 0009-0004-9449-0932 ; 0000-0001-7035-3096 ; 0009-0003-1119-4146</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38610673$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Sivan, Manoj</creatorcontrib><creatorcontrib>Smith, Adam B</creatorcontrib><creatorcontrib>Osborne, Thomas</creatorcontrib><creatorcontrib>Goodwin, Madeline</creatorcontrib><creatorcontrib>Lawrence, Román Rocha</creatorcontrib><creatorcontrib>Baley, Sareeta</creatorcontrib><creatorcontrib>Williams, Paul</creatorcontrib><creatorcontrib>Lee, Cassie</creatorcontrib><creatorcontrib>Davies, Helen</creatorcontrib><creatorcontrib>Balasundaram, Kumaran</creatorcontrib><creatorcontrib>Greenwood, Darren C</creatorcontrib><creatorcontrib>LOCOMOTION Consortium</creatorcontrib><title>Long COVID Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation</title><title>Journal of clinical medicine</title><addtitle>J Clin Med</addtitle><description>: 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.
: 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.
: 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 (
= 96), moderate (
= 422), and severe (
= 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.
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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.
: 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.
: 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 (
= 96), moderate (
= 422), and severe (
= 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.
: 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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>38610673</pmid><doi>10.3390/jcm13071908</doi><orcidid>https://orcid.org/0000-0002-3693-1056</orcidid><orcidid>https://orcid.org/0000-0002-0334-2968</orcidid><orcidid>https://orcid.org/0000-0002-1913-9825</orcidid><orcidid>https://orcid.org/0009-0004-9449-0932</orcidid><orcidid>https://orcid.org/0000-0001-7035-3096</orcidid><orcidid>https://orcid.org/0009-0003-1119-4146</orcidid><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of clinical medicine, 2024-04, Vol.13 (7), p.1908 |
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| source | PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Activities of daily living Cluster analysis COVID-19 Fatigue Infections Likert scale Long COVID Patients Skin |
| title | Long COVID Clinical Severity Types Based on Symptoms and Functional Disability: A Longitudinal Evaluation |
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