ArticleArthritis research & therapy2014
OMERACT-based fibromyalgia symptom subgroups: an exploratory cluster analysis.
Article in Arthritis research & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.
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Who cites it
39 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cluster analysis in fibromyalgia: a systematic review.Rheumatology international · 2024Pooled it
- Metabolic fingerprinting for diagnosis of fibromyalgia and other rheumatologic disorders.The Journal of biological chemistry · 2019Trial
- Resistance exercise improves physical fatigue in women with fibromyalgia: a randomized controlled trial.Arthritis research & therapy · 2016Trial
- A multicentre study for clinical phenotype prediction in juvenile dermatomyositis: categorical principal component analysis-based hierarchical clustering.Reumatologia · 2026Article
- Personality Assessment Inventory in Fibromyalgia: Links to Functional, Physical-Somatic, and Emotional Impact.European journal of investigation in health, psychology and education · 2025Article
- Identifying distinct subgroups with severe pain in sickle cell disease: A cluster analysis of the GRNDaD multi-center registry.PloS one · 2025Article
- Multi-Dimensional Validation of the Integration of Syntactic and Semantic Distance Measures for Clustering Fibromyalgia Patients in the Rheumatic Monitor Big Data Study.Bioengineering (Basel, Switzerland) · 2024Article
- Does Pain Acceptance Contribute to Improved Functionality through Walking in Women with Fibromyalgia? Looking at Depressive Comorbidity.International journal of environmental research and public health · 2023Article
- Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups.Rheumatology (Oxford, England) · 2023Article
- Nociplastic pain concept, a mechanistic basis for pragmatic approach to fibromyalgia.Clinical rheumatology · 2022Review
- Predictive Bidirectional Relations Between Pain, Fatigue, and Dyscognition in Fibromyalgia.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022Article
- Implication of the Nociplastic Features for Clinical Diagnosis of Fibromyalgia: Development of the Preliminary Nociplastic-Based Fibromyalgia Features (NFF) Tool.ACR open rheumatology · 2022Article
- Coping and Beliefs as Predictors of Functioning and Psychological Adjustment in Fibromyalgia Subgroups.Pain research & management · 2022Article
- Article
- Subgrouping a Large U.S. Sample of Patients with Fibromyalgia Using the Fibromyalgia Impact Questionnaire-Revised.International journal of environmental research and public health · 2020Article
- Suicidal Ideation Profiles in Patients with Fibromyalgia Using Transdiagnostic Psychological and Fibromyalgia-Associated Variables.International journal of environmental research and public health · 2020Article
- Assessing our approach to diagnosing Fibromyalgia.Expert review of molecular diagnostics · 2020Review
- The Co-Morbidity between Bipolar and Panic Disorder in Fibromyalgia Syndrome.Journal of clinical medicine · 2020Article
- Somatic symptom presentations in women with fibromyalgia are differentially associated with elevated depression and anxiety.Journal of health psychology · 2020Article
- Metabolomics in Central Sensitivity Syndromes.Metabolites · 2020Review
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Authors and funding
7 authors.
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Abstract
introductionThe aim of this study was to identify subsets of patients with fibromyalgia with similar symptom profiles using the Outcome Measures in Rheumatology (OMERACT) core symptom domains.
methodsFemale patients with a diagnosis of fibromyalgia and currently meeting fibromyalgia research survey criteria completed the Brief Pain Inventory, the 30-item Profile of Mood States, the Medical Outcomes Sleep Scale, the Multidimensional Fatigue Inventory, the Multiple Ability Self-Report Questionnaire, the Fibromyalgia Impact Questionnaire-Revised (FIQ-R) and the Short Form-36 between 1 June 2011 and 31 October 2011. Hierarchical agglomerative clustering was used to identify subgroups of patients with similar symptom profiles. To validate the results from this sample, hierarchical agglomerative clustering was repeated in an external sample of female patients with fibromyalgia with similar inclusion criteria.
resultsA total of 581 females with a mean age of 55.1 (range, 20.1 to 90.2) years were included. A four-cluster solution best fit the data, and each clustering variable differed significantly (P <0.0001) among the four clusters. The four clusters divided the sample into severity levels: Cluster 1 reflects the lowest average levels across all symptoms, and cluster 4 reflects the highest average levels. Clusters 2 and 3 capture moderate symptoms levels. Clusters 2 and 3 differed mainly in profiles of anxiety and depression, with Cluster 2 having lower levels of depression and anxiety than Cluster 3, despite higher levels of pain. The results of the cluster analysis of the external sample (n = 478) looked very similar to those found in the original cluster analysis, except for a slight difference in sleep problems. This was despite having patients in the validation sample who were significantly younger (P <0.0001) and had more severe symptoms (higher FIQ-R total scores (P = 0.0004)).
conclusionsIn our study, we incorporated core OMERACT symptom domains, which allowed for clustering based on a comprehensive symptom profile. Although our exploratory cluster solution needs confirmation in a longitudinal study, this approach could provide a rationale to support the study of individualized clinical evaluation and intervention.
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