Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups Article Swipe
Susan L. Murphy
,
Yen T. Chen
,
Yvonne Lee
,
Mary Carns
,
Kathleen Aren
,
Benjamin D. Korman
,
Monique Hinchcliff
,
John Varga
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/rheumatology/keac444
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1093/rheumatology/keac444
Objectives Symptoms of people who have SSc are heterogeneous and difficult to address clinically. Because diverse symptoms often co-occur and may share common underlying mechanisms, identifying symptoms that cluster together may better target treatment approaches. We sought to identify and characterize patient subgroups based on symptom experience. Methods An exploratory hierarchical agglomerative cluster analysis was conducted to identify subgroups from a large SSc cohort from a single US academic medical centre. Patient-reported symptoms of pain interference, fatigue, sleep disturbance, dyspnoea, depression and anxiety were used for clustering. A multivariate analysis of variance (MANOVA) was used to examine the relative contribution of each variable across subgroups. Analyses of variance were performed to determine participant characteristics based on subgroup assignment. Presence of symptom clusters were tallied within subgroup. Results Participants (n = 587; 84% female, 41% diffuse cutaneous subtype, 59% early disease) divided into three subgroups via cluster analysis based on symptom severity: (i) no/minimal, (ii) mild, and (iii) moderate. Participants in mild and moderate symptoms subgroups had similar disease severity, but different symptom presentation. In the mild symptoms subgroup, pain, fatigue and sleep disturbance was the main symptom cluster. Participants in the moderate symptoms subgroup were characterized by co-occurring pain, fatigue, sleep disturbance, depression and anxiety. Conclusion Identification of distinct symptom clusters, particularly among SSc patients who experience mild and moderate symptoms, suggests potential differences in treatment approach and in mechanisms underlying symptom experience that require further study.
Related Topics
Concepts
Medicine
Anxiety
Depression (economics)
Multivariate analysis
Sleep disorder
Multivariate analysis of variance
Subgroup analysis
Disease
Cohort
Cluster (spacecraft)
Comorbidity
Physical therapy
Clinical psychology
Internal medicine
Psychiatry
Cognition
Confidence interval
Computer science
Machine learning
Economics
Programming language
Macroeconomics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/rheumatology/keac444
- OA Status
- green
- Cited By
- 7
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4289593592
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4289593592Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/rheumatology/keac444Digital Object Identifier
- Title
-
Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroupsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-08-03Full publication date if available
- Authors
-
Susan L. Murphy, Yen T. Chen, Yvonne Lee, Mary Carns, Kathleen Aren, Benjamin D. Korman, Monique Hinchcliff, John VargaList of authors in order
- Landing page
-
https://doi.org/10.1093/rheumatology/keac444Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://www.ncbi.nlm.nih.gov/pmc/articles/9910572Direct OA link when available
- Concepts
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Medicine, Anxiety, Depression (economics), Multivariate analysis, Sleep disorder, Multivariate analysis of variance, Subgroup analysis, Disease, Cohort, Cluster (spacecraft), Comorbidity, Physical therapy, Clinical psychology, Internal medicine, Psychiatry, Cognition, Confidence interval, Computer science, Machine learning, Economics, Programming language, MacroeconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2024: 4, 2023: 3Per-year citation counts (last 5 years)
- References (count)
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51Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W4211149849, https://openalex.org/W4230089706, https://openalex.org/W2291799401, https://openalex.org/W3174543468, https://openalex.org/W2180657045, https://openalex.org/W1120609834, https://openalex.org/W2796089087, https://openalex.org/W2121837363, https://openalex.org/W2097235036, https://openalex.org/W167364323, https://openalex.org/W1970933573, https://openalex.org/W2020507494, https://openalex.org/W2061825577, https://openalex.org/W1970769644, https://openalex.org/W1963755872, https://openalex.org/W2582438818, https://openalex.org/W2402086368, https://openalex.org/W2898681090, https://openalex.org/W2096573028, https://openalex.org/W6606864325, https://openalex.org/W1983930880, https://openalex.org/W2162420979, https://openalex.org/W1995582793, https://openalex.org/W2019310464, https://openalex.org/W2159516675, https://openalex.org/W2762133166, https://openalex.org/W2155788143, https://openalex.org/W3194956376, https://openalex.org/W2010135818, https://openalex.org/W2016381774, https://openalex.org/W2394768513, https://openalex.org/W1975152892, https://openalex.org/W2151628746, https://openalex.org/W3123750794, https://openalex.org/W3126792930, https://openalex.org/W2077928321, https://openalex.org/W3215650992, https://openalex.org/W1998024129, https://openalex.org/W3123137146, https://openalex.org/W3125508979, https://openalex.org/W2957946008, https://openalex.org/W2152547350, https://openalex.org/W2079088857, https://openalex.org/W2914951299, https://openalex.org/W2966012272, https://openalex.org/W2510547160, https://openalex.org/W4205759615, https://openalex.org/W2165398651, https://openalex.org/W3091595695, https://openalex.org/W1484864026, https://openalex.org/W2029662381 |
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