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INTRODUCTION: Multiple studies now confirm that â¼40% of patients with fibromyalgia syndrome meet diagnostic criteria for small-fiber polyneuropathy (SFPN) and have objective pathologic or physiologic evidence of SFPN, whereas 60% do not. Given possibilities that tens or hundreds of millions globally could have SFPN, developing screening tools becomes important. OBJECTIVES: This analysis explored whether specific symptoms might help distinguish these fibromyalgia endophenotypes. METHODS: With institutional review board approval, all adults tested for SFPN by distal-leg skin biopsy or autonomic function testing at Massachusetts General Hospital in 2014 to 2015 were queried about symptoms. Inclusion required a physician's fibromyalgia syndrome diagnosis plus meeting the American College of Rheumatology 2010 Fibromyalgia Criteria. The primary outcome was the validated Small-fiber Symptom Survey, which captures severity of all known SFPN-associated symptoms. The Composite Autonomic Symptom Score-31, Short-Form Health Survey-36, and Short-Form McGill Pain Questionnaires provided secondary outcomes. RESULTS: Among the 39 participants, 14 had test-confirmed SFPN (SFPN+) and 25 did not (SFPN-). Their pain severity did not differ. Paresthesias ("tingling") were different (worse) in the SFPN+ group (3.14 ± 0.9 vs 2.28 ± 1.1; P = 0.16). Their component subscore for dysautonomia symptoms was also worse (10.42 ± 4.0 vs 7.16 ± 4.0; P = 0.019). Receiver operating characteristic analyses revealed that each item had fair diagnostic utility in predicting SFPN, with areas under the curve of 0.729. No secondary questionnaires discriminated significantly. CONCLUSION: Among patients with fibromyalgia, most symptoms overlap between those with or without confirmed SFPN. Symptoms of dysautonomia and paresthesias may help predict underlying SFPN. The reason to screen for SFPN is because-unlike fibromyalgia-its medical causes can sometimes be identified and definitively treated or cured.
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Small-fiber polyneuropathy (SFPN) affects unmyelinated and thinly myelinated peripheral axons. Several questionnaires have been developed to assess polyneuropathy from diabetes or chemotherapy, but none for SFPN from other or unknown causes. A comprehensive survey could help clinicians diagnose and assess treatment responses, define prevalence natural history and cures, and identify research subjects. Thus, we developed the 1-page Small-Fiber Symptom Survey, using input from patients and 21 medical/scientific experts. Participants comprised consenting consecutive patients evaluated for SFPN at the Massachusetts General Hospital plus normal control subjects. Participants SFPN status was stratified on the basis of the results of their objective diagnostic tests (distal leg skin biopsy and autonomic function testing). We measured internal consistency, test retest reliability, convergent validity, and performed a receiver operating curve analysis. The 179 participants averaged 46.6 ± 15.6 years old; they were 73.2% female and 92.2% Caucasian. Eighty-five had confirmed SFPN, mostly idiopathic. Principal component analysis revealed 5 symptom clusters. The questionnaire had good internal consistency (Cronbach α = .893), excellent test retest reliability (r = .927, P < .001) and good to fair convergent validity. Participants with confirmed SFPN had more severe symptoms than others (P = .009). The Small-Fiber Symptom Survey has satisfactory psychometric properties, indicating potential future utility for surveying patient-reported symptoms of SFPN regardless of its cause. PERSPECTIVE: This article reports the initial development and early psychometric validation of a new patient-reported outcome measure intended to capture the wide range of multisystem symptoms of SFPN. When further developed, it could potentially help clinicians diagnose and monitor patients, and help advance research.
