Fibromyalgia Assessment Screening Tool: Clues to Fibromyalgia on a Multidimensional Health Assessment Questionnaire for Routine Care.

J Rheumatol

From the Department of Rheumatology, Liverpool Hospital, Liverpool, Sydney, New South Wales, Australia; University of New South Wales, Sydney, Australia; Division of Rheumatology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA; Ingham Institute for Applied Medical Research, Liverpool, Sydney, New South Wales, Australia.

Published: May 2020

AI Article Synopsis

  • The study aimed to create simple indices using self-reported MDHAQ scores to help identify comorbid fibromyalgia (FM) in patients with various rheumatic diseases.
  • Researchers analyzed data from 148 patients who completed the MDHAQ and a FM criteria questionnaire, determining specific cutpoints for different MDHAQ measures to effectively screen for FM.
  • The results showed that a cumulative index based on 3 or 4 MDHAQ measures accurately classified 89.4-91.7% of patients meeting the FM criteria, suggesting these indices could be useful for clinicians in routine practice.

Article Abstract

Objective: To develop feasible indices as clues to comorbid fibromyalgia (FM) in routine care of patients with various rheumatic diseases based only on self-report multidimensional Health Assessment Questionnaire (MDHAQ) scores, which are informative in all rheumatic diagnoses studied.

Methods: All patients with all diagnoses complete an MDHAQ at each visit; the 2011 FM criteria questionnaire was added to the standard MDHAQ between February 2013 and August 2016. The proportion of patients who met 2011 FM criteria or had a clinical diagnosis of FM was calculated. Individual candidate MDHAQ measures were compared to 2011 FM criteria using receiver-operating characteristic (ROC) curves; cutpoints to recognize FM were selected from the area under the curve (AUC) for optimal tradeoff between sensitivity and specificity. Cumulative indices of 3 or 4 MDHAQ measures were analyzed as fibromyalgia assessment screening tools (FAST).

Results: In 148 patients, the highest AUC in ROC analyses versus 2011 FM criteria were seen for MDHAQ symptom checklist, self-report painful joint count, pain visual analog scale (VAS), and fatigue VAS. The optimal cutpoints were ≥ 16/60 for symptom checklist, ≥ 16/48 for self-report painful joint count, and ≥ 6/10 for both pain and fatigue VAS. Cumulative FAST indices of 2/3 or 3/4 MDHAQ measures correctly classified 89.4-91.7% of patients who met 2011 FM criteria.

Conclusion: FAST3 and FAST4 cumulative indices from only MDHAQ scores correctly identify most patients who meet 2011 FM criteria. FAST indices can assist clinicians in routine care as clues to FM with a general rheumatology rather than FM-specific questionnaire.

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Source
http://dx.doi.org/10.3899/jrheum.190277DOI Listing

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