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Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance

OBJECTIVE: Although symptom relief is a critical aspect for successful drug development in Sjögren's disease, patient experiences with Sjögren's‐related symptoms are understudied. Our objective was to determine how pain, dryness, and fatigue, the cardinal symptoms of Sjögren's disease...

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Autores principales: McCoy, Sara S., Woodham, Miguel, Bartels, Christie M., Saldanha, Ian J., Bunya, Vatinee Y., Maerz, Noah, Akpek, Esen K., Makara, Matthew A., Baer, Alan N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wiley Periodicals, Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427679/
https://www.ncbi.nlm.nih.gov/pubmed/35594474
http://dx.doi.org/10.1002/art.42238
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author McCoy, Sara S.
Woodham, Miguel
Bartels, Christie M.
Saldanha, Ian J.
Bunya, Vatinee Y.
Maerz, Noah
Akpek, Esen K.
Makara, Matthew A.
Baer, Alan N.
author_facet McCoy, Sara S.
Woodham, Miguel
Bartels, Christie M.
Saldanha, Ian J.
Bunya, Vatinee Y.
Maerz, Noah
Akpek, Esen K.
Makara, Matthew A.
Baer, Alan N.
author_sort McCoy, Sara S.
collection PubMed
description OBJECTIVE: Although symptom relief is a critical aspect for successful drug development in Sjögren's disease, patient experiences with Sjögren's‐related symptoms are understudied. Our objective was to determine how pain, dryness, and fatigue, the cardinal symptoms of Sjögren's disease, drive cluster phenotypes. METHODS: We used data from the Sjögren's International Collaborative Clinical Alliance (SICCA) Registry and a Sjögren's Foundation survey. We performed hierarchical clustering of symptoms by levels of dryness, fatigue, and pain. Using international and US cohorts, we performed multiple logistic regression analysis to compare the clusters, which included comparisons of differences in symptoms, quality of life (QoL), medication use, and systemic manifestations. RESULTS: Four similar clusters were identified among 1,454 SICCA registrants and 2,920 Sjögren's Foundation survey participants: 1) low symptom burden in all categories (LSB); 2) dry with low pain and low fatigue (DLP); 3) dry with high pain and low to moderate fatigue (DHP); and 4) high symptom burden in all categories (HSB). Distribution of SICCA registrants matching the symptom profile for each cluster was 10% in the LSB cluster, 30% in the DLP cluster, 23% in the DHP cluster, and 37% in the HSB cluster. Distribution of survey participants matching the symptom profile for each cluster was 23% in the LSB cluster, 14% in the DLP cluster, 21% in the DHP cluster, and 42% in the HSB cluster. Individuals in the HSB cluster had more total symptoms and lower QoL but lower disease severity than those in the other clusters. Despite having milder disease as measured by laboratory tests and organ involvement, individuals in the HSB cluster received immunomodulatory treatment most often. CONCLUSION: We identified 4 symptom‐based Sjögren's clusters and showed that symptom burden and immunomodulatory medication use do not correlate with Sjögren's end‐organ or laboratory abnormalities. Findings highlight a discordance between objective measures and treatments and offer updates to proposed symptom‐based clustering approaches.
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spelling pubmed-94276792023-01-04 Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance McCoy, Sara S. Woodham, Miguel Bartels, Christie M. Saldanha, Ian J. Bunya, Vatinee Y. Maerz, Noah Akpek, Esen K. Makara, Matthew A. Baer, Alan N. Arthritis Rheumatol Sjögren's Syndrome OBJECTIVE: Although symptom relief is a critical aspect for successful drug development in Sjögren's disease, patient experiences with Sjögren's‐related symptoms are understudied. Our objective was to determine how pain, dryness, and fatigue, the cardinal symptoms of Sjögren's disease, drive cluster phenotypes. METHODS: We used data from the Sjögren's International Collaborative Clinical Alliance (SICCA) Registry and a Sjögren's Foundation survey. We performed hierarchical clustering of symptoms by levels of dryness, fatigue, and pain. Using international and US cohorts, we performed multiple logistic regression analysis to compare the clusters, which included comparisons of differences in symptoms, quality of life (QoL), medication use, and systemic manifestations. RESULTS: Four similar clusters were identified among 1,454 SICCA registrants and 2,920 Sjögren's Foundation survey participants: 1) low symptom burden in all categories (LSB); 2) dry with low pain and low fatigue (DLP); 3) dry with high pain and low to moderate fatigue (DHP); and 4) high symptom burden in all categories (HSB). Distribution of SICCA registrants matching the symptom profile for each cluster was 10% in the LSB cluster, 30% in the DLP cluster, 23% in the DHP cluster, and 37% in the HSB cluster. Distribution of survey participants matching the symptom profile for each cluster was 23% in the LSB cluster, 14% in the DLP cluster, 21% in the DHP cluster, and 42% in the HSB cluster. Individuals in the HSB cluster had more total symptoms and lower QoL but lower disease severity than those in the other clusters. Despite having milder disease as measured by laboratory tests and organ involvement, individuals in the HSB cluster received immunomodulatory treatment most often. CONCLUSION: We identified 4 symptom‐based Sjögren's clusters and showed that symptom burden and immunomodulatory medication use do not correlate with Sjögren's end‐organ or laboratory abnormalities. Findings highlight a discordance between objective measures and treatments and offer updates to proposed symptom‐based clustering approaches. Wiley Periodicals, Inc. 2022-08-03 2022-09 /pmc/articles/PMC9427679/ /pubmed/35594474 http://dx.doi.org/10.1002/art.42238 Text en © 2022 The Authors. Arthritis & Rheumatology published by Wiley Periodicals LLC on behalf of American College of Rheumatology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Sjögren's Syndrome
McCoy, Sara S.
Woodham, Miguel
Bartels, Christie M.
Saldanha, Ian J.
Bunya, Vatinee Y.
Maerz, Noah
Akpek, Esen K.
Makara, Matthew A.
Baer, Alan N.
Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title_full Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title_fullStr Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title_full_unstemmed Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title_short Symptom‐Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance
title_sort symptom‐based cluster analysis categorizes sjögren's disease subtypes: an international cohort study highlighting disease severity and treatment discordance
topic Sjögren's Syndrome
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427679/
https://www.ncbi.nlm.nih.gov/pubmed/35594474
http://dx.doi.org/10.1002/art.42238
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