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Longitudinal stability of fibromyalgia symptom clusters

BACKGROUND: Using self-report questionnaires of key fibromyalgia symptom domains (pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety), we previously identified four unique symptom clusters. The purpose of this study was to examine the stability of fibromyalg...

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Autores principales: Hoskin, Tanya L., Whipple, Mary O., Nanda, Sanjeev, Vincent, Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830338/
https://www.ncbi.nlm.nih.gov/pubmed/29486783
http://dx.doi.org/10.1186/s13075-018-1532-0
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author Hoskin, Tanya L.
Whipple, Mary O.
Nanda, Sanjeev
Vincent, Ann
author_facet Hoskin, Tanya L.
Whipple, Mary O.
Nanda, Sanjeev
Vincent, Ann
author_sort Hoskin, Tanya L.
collection PubMed
description BACKGROUND: Using self-report questionnaires of key fibromyalgia symptom domains (pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety), we previously identified four unique symptom clusters. The purpose of this study was to examine the stability of fibromyalgia symptom clusters between baseline and 2-year follow-up. METHODS: Women with a diagnosis of fibromyalgia completed the Brief Pain Inventory, Profile of Mood States, Medical Outcomes Study Sleep measure, Multidimensional Fatigue Inventory, Multiple Ability Self-Report Questionnaire, Revised Fibromyalgia Impact Questionnaire, and the 36-Item Short Form Survey Instrument at baseline. Follow-up measures were completed approximately 2 years later. The hierarchical agglomerative clustering algorithm previously developed was applied; agreement between baseline and follow-up was assessed with the κ statistic. RESULTS: Among 433 participants, the mean age was 56 (range 20–85) years. The median Revised Fibromyalgia Impact Questionnaire total score was 57 (range 8–96). More than half of participants (58%) remained in the same cluster at follow-up as at baseline, which represented moderate agreement between baseline and follow-up (κ = 0.44, 95% confidence interval (CI) 0.37–0.50). Only two patients changed from high symptom intensity to low symptom intensity; similarly, only three moved from low to high. CONCLUSIONS: Fibromyalgia patients classified into four unique symptom clusters based on the key domains of pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety showed moderate stability in cluster assignment after 2 years. Few patients moved between the two extremes of severity, and it was slightly more common to move to a lower symptom level than to worsen. TRIAL REGISTRATION: Not applicable.
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spelling pubmed-58303382018-03-05 Longitudinal stability of fibromyalgia symptom clusters Hoskin, Tanya L. Whipple, Mary O. Nanda, Sanjeev Vincent, Ann Arthritis Res Ther Research Article BACKGROUND: Using self-report questionnaires of key fibromyalgia symptom domains (pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety), we previously identified four unique symptom clusters. The purpose of this study was to examine the stability of fibromyalgia symptom clusters between baseline and 2-year follow-up. METHODS: Women with a diagnosis of fibromyalgia completed the Brief Pain Inventory, Profile of Mood States, Medical Outcomes Study Sleep measure, Multidimensional Fatigue Inventory, Multiple Ability Self-Report Questionnaire, Revised Fibromyalgia Impact Questionnaire, and the 36-Item Short Form Survey Instrument at baseline. Follow-up measures were completed approximately 2 years later. The hierarchical agglomerative clustering algorithm previously developed was applied; agreement between baseline and follow-up was assessed with the κ statistic. RESULTS: Among 433 participants, the mean age was 56 (range 20–85) years. The median Revised Fibromyalgia Impact Questionnaire total score was 57 (range 8–96). More than half of participants (58%) remained in the same cluster at follow-up as at baseline, which represented moderate agreement between baseline and follow-up (κ = 0.44, 95% confidence interval (CI) 0.37–0.50). Only two patients changed from high symptom intensity to low symptom intensity; similarly, only three moved from low to high. CONCLUSIONS: Fibromyalgia patients classified into four unique symptom clusters based on the key domains of pain, fatigue, sleep disturbance, function, stiffness, dyscognition, depression, and anxiety showed moderate stability in cluster assignment after 2 years. Few patients moved between the two extremes of severity, and it was slightly more common to move to a lower symptom level than to worsen. TRIAL REGISTRATION: Not applicable. BioMed Central 2018-02-27 2018 /pmc/articles/PMC5830338/ /pubmed/29486783 http://dx.doi.org/10.1186/s13075-018-1532-0 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Hoskin, Tanya L.
Whipple, Mary O.
Nanda, Sanjeev
Vincent, Ann
Longitudinal stability of fibromyalgia symptom clusters
title Longitudinal stability of fibromyalgia symptom clusters
title_full Longitudinal stability of fibromyalgia symptom clusters
title_fullStr Longitudinal stability of fibromyalgia symptom clusters
title_full_unstemmed Longitudinal stability of fibromyalgia symptom clusters
title_short Longitudinal stability of fibromyalgia symptom clusters
title_sort longitudinal stability of fibromyalgia symptom clusters
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830338/
https://www.ncbi.nlm.nih.gov/pubmed/29486783
http://dx.doi.org/10.1186/s13075-018-1532-0
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