300,000+ clinical trials. Find the right one.

128 active trials for Fibromyalgia

Prognostic Factors for Work Disability in Patients With Chronic Widespread Pain and Fibromyalgia.

Introduction: The association between chronic widespread pain (CWP) and disability is well-established. Although research support large inter-individual differences in functional outcomes, limited studies are available on the socio-economic consequences of offering stratified treatment based on prognostic factors. Identification of predictors of long-term functional outcomes such as work disability as a critical consequence, could assist early and targeted personalised interventions. The primary objective of this cohort study is to identify prognostic factors for the primary endpoint work status (employed and working vs not working) in patients with CWP assessed 3- years from baseline, i.e. at referral for specialist care. Methods and analyses: Data are collected at the diagnostic unit at Department of Rheumatology, Frederiksberg Hospital. The first 1,000 patients >=18 years of age registered in a clinical research database (DANFIB registry) with CWP either "employed and working" or "not working" will be enrolled. Participants must meet the American College of Rheumatology (ACR) 1990 definition of CWP, i.e. pain in all four body quadrants and axially for more than three months and are additionally screened for fulfilment of criteria for FM. Clinical data and patient-reported outcomes are collected at referral (baseline) through clinical assessment and electronic questionnaires. Data on the primary endpoint work status at baseline and 3- years from baseline will be extracted from the Integrated Labour Market Database, Statistics Denmark and the nationwide Danish DREAM database. Prognostic factor analysis will be based on multivariable logistic regression modelling with the dichotomous work status as dependent variable.

Start: January 2018
Quality of Life and the Effects of Tailored Health Coaching in Fibromyalgia Patients

Specific Aims: To identify phenotypes of patients with fibromyalgia according to symptom clusters and to compare differences in quality of life (QOL) among different phenotypes. To examine the effects of technology-assisted and tailored health coaching in comparison to telephone support on health status, QOL, pain catastrophizing, and self-efficacy in patients with fibromyalgia. Methods: For Aims 1, the investigators will conduct a cross-sectional study and enroll 300 patients with fibromyalgia. Symptoms will be assessed using the Numerical Rating Scale, Athens Insomnia Scale, Functional Assessment of Cancer Therapy cognition scale, Beck Depression Index-II, Beck Anxiety Index, and Fatigue Severity Scale. The World Health Organization Quality of Life-Brief Form (WHOQOL-BREF) questionnaire will be used to assess participants' overall QOL. Hierarchical cluster analyses will be used to identify fibromyalgia phenotypes according to pain, physical, and psychological variables. A series of multivariate analysis of variance analyses will be used to compare the differences in WHOQOL-BREF scores among those phenotypes. For Aims 2, the investigators conduct an assessor-blind, parallel-group, randomized controlled trial and enroll 110 participants with fibromyalgia. Participants will be randomized to a health coaching group and a control group. The tailored, interactive health-coaching program will be delivered via mobile applications during a 10-week training period. The control group will receive standard education materials and weekly telephone support. The primary outcomes are the revised Fibromyalgia Impact Questionnaire and WHOQOL-BREF scores; the secondary outcomes are pain catastrophizing score and self-efficacy, which will be examined at baseline, post-training, and the 3th month follow-up. Data will be analyzed according to the intention-to-treat principle. To determine the effectiveness of health coaching on primary and secondary outcomes, differences in outcome variables will be analyzed with mixed-effects linear regression models. The between-group differences at the two posttests examined using a mixed-model will include group x time interaction. The investigators will adjust for the baseline score on the outcome variable and for demographics and comorbidities that differ significantly between the intervention and control groups at baseline.

Start: July 2019
Evaluation of the Incidence of Fibromyalgia Syndrome and Its Effect on Quality of Life in Rheumatoid Arthritis

Rheumatoid arthritis is a chronic, autoimmune, systemic inflammatory disease with a prevalence of approximately 1%. With a lifetime development rate of 3.6%, rheumatoid arthritis is seen 1.7% more in women than in men. Although there are no diagnostic criteria for rheumatoid arthritis, ACR / EULAR 2010 classification criteria are frequently used in diagnosis. Symptom duration, number of swollen joints, acute phase reactants and serology are used in these criteria. Fibromyalgia syndrome is characterized by chronic widespread pain, fatigue, exercise disorders and cognitive impairment. Although the prevalence of fibromyalgia syndrome in the general population is between 2-4%, it is one of the most common conditions encountered by rheumatologists. A treat to target strategy is recommended in rheumatoid arthritis disease management. This approach suggests close monitoring of disease activity and treatment change in cases where the goal is not achieved. The prevalence of fibromyalgia in rheumatoid arthritis patients was found to be 5-52% in meta-analyzes due to the heterogeneity of fibromyalgia criteria used in studies. This study, it was aimed to evaluate the effect of secondary fibromyalgia syndrome, which is frequently found in rheumatoid arthritis and characterized by symptoms such as fatigue and widespread pain, on rheumatoid arthritis disease activation and patients' quality of life.

Start: April 2021