Cross‐sectional and longitudinal analysis of conditioned pain modulation and pain in fibromyalgia: CPM as an effect modifier of pain changes over time.
Background and Purpose: Fibromyalgia (FM) is associated with altered descending pain modulatory pathways, which can be assessed through Conditioned Pain Modulation (CPM). In this study, we aimed to explore the relationship between CPM and self‐reported baseline characteristics in patients with fibro...
| Publicado en: | Physiotherapy Research International Vol. 29; no. 2; pp. 1 - 13 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Apr2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=176867512&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 176867512 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 13582267 GPG jtl: Physiotherapy Research International issn: 13582267 maglogo: Y pubinfo: dt: Apr2024 vid: 29 iid: 2 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 176867512 176867512 176867512 10.1002/pri.2072 176867512 ppf: 1 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Cross‐sectional and longitudinal analysis of conditioned pain modulation and pain in fibromyalgia: CPM as an effect modifier of pain changes over time. aug: au: Castelo‐Branco, Luis Pacheco‐Barrios, Kevin Cardenas‐Rojas, Alejandra de Melo, Paulo S. Gianlorenco, Anna C. Gonzalez‐Mego, Paola Marduy, Anna Shaik, Emad S. Teixeira, Paulo Caumo, Wolnei Fregni, Felipe affil: Neuromodulation Center and Center for Clinical Research Learning, Spaulding Rehabilitation Hospital and Massachusetts General Hospital, Harvard Medical School, Boston Massachusetts,, USA sug: subj: Fibromyalgia Complications Pain Management Methods Pain Threshold Physiology Treatment Outcomes Evaluation Human Brazil Cross Sectional Studies Prospective Studies Male Female Adolescence Adult Middle Age Aged Descriptive Statistics Funding Source Univariate Statistics Multivariate Analysis Scales Questionnaires Linear Regression Exercise Quality of Life Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background and Purpose: Fibromyalgia (FM) is associated with altered descending pain modulatory pathways, which can be assessed through Conditioned Pain Modulation (CPM). In this study, we aimed to explore the relationship between CPM and self‐reported baseline characteristics in patients with fibromyalgia. We also performed a longitudinal analysis exploring CPM as a potential predictor of clinical improvement over time in individuals with FM. Methods: We performed cross‐sectional univariable and multivariable analyses of the relationship between CPM and other variables in 41 FM patients. We then performed longitudinal analyses, building linear mixed‐effects models with pain in the Visual Analogue Scale (VAS) as the dependent variable, and testing for the interaction between time and CPM. We also tested the interaction between CPM and time in models using other outcomes, such as the revised Fibromyalgia Impact Questionnaire and Quality of Life Scale (QOLs). Results: We found no association between CPM and other demographic and clinical variables in the univariable analysis. We found a statistically significant association in the multivariable linear regression model between CPM and the QOLs at the baseline after controlling for age, sex, and duration of symptoms. In the longitudinal analyses, we found that CPM is an effect modifier for clinical improvement over time for the pain VAS, QOLs, and FIQR: individuals with low‐efficient CPM at the baseline have a different (improved) pattern of response over time when compared to those with high‐efficient CPM. Conclusions: Our findings suggest that CPM is not a reliable biomarker of clinical manifestations in chronic pain patients during cross‐sectional assessments. However, our results are consistent with previous findings that CPM can be used to predict the evolution of clinical pain over time. We expect that our findings will help in the selection of patients with the best profile to respond to specific interventions and assist clinicians in tailoring pain treatments. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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