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

Overview

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.

By using prognostic factor research, the purpose is to understand and improve future outcomes in patients with CWP. Identification of prognostic factors for long-term functional outcomes, including work disability, could assist tailoring and timing the therapeutic decision for specific patients and potentially optimise functional outcomes compared with offering standardised (i.e. ignorant) intervention programs to patients with CWP. The results from this cohort study are anticipated to contribute with relevant knowledge that may be used to guide future intervention matching and delivery of stratified interventions based on prognostic classification. Study design: The study is designed as a clinical cohort study enabling multivariable logistic regression modelling of data from the large Danish DANFIB cohort of CWP patients with the primary aim assessed after 3- years. Setting: Data collection takes place in a specialised clinical care setting at the diagnostic unit at Department of Rheumatology, Frederiksberg Hospital. Here patients presenting with CWP, either as their primary pain problem or secondary to other established rheumatic disease, have been offered clinical assessment and screening for CWP since 1st of January 2018. The electronic data collection is accessed via touchscreens and data are exported to a designated clinical research database (the DANFIB registry). Data extracted from electronic patient files, including findings at clinical examination (manual TP count), are also integrated into the DANFIB registry. A protocol outlining the content and objectives of the DANFIB registry can be accessed online.The DANFIB registry will serve as point of departure for the current cohort study. Participants: The first 1,000 patients consecutively registered in the DANFIB registry with CWP independent of working status. Participant inclusion is expected to be completed by December 2021. Informed consent will be obtained for all participants when registered in the DANFIB registry. Data sources: Baseline demographics, clinical characteristics and individual labour market status assessed at baseline will be extracted from the DANFIB registry. Data on the primary endpoint work status ("employed and working" or "not working") at baseline and again 3- years from baseline will be extracted from the Integrated Laboure Market Database at Statistics Denmark and the nationwide Danish DREAM database.