Background:Fibromyalgia (FM) is a condition characterized by chronic widespread pain, tender points, fatigue and disturbed sleep rhythm. Some of these symptoms such as fatigue, tender points and diffuse pain seen in patients with spondylarthritis (SpA). Moreover, FM and SpA can coexist creating a diagnostic challenge, particularly in early disease course and influence clinical disease activity assessment.Objectives:With this cross-sectional study, we aim to estimate the prevalence of FM in SpA and to elaborate its effect on biological treatments.Methods:FM was identified according to the ACR 2010 diagnostic criteria. SpA patients identified according to rheumatologist using various SpA subsets criteria. A review of the electronic medical files for SpA patients attending the rheumatology outpatient clinic and infusion unit at a major tertiary hospital during the period from June to December 2018 were included. Patients’ demographics, socioeconomics, disease characteristics, activity, HLA status and abnormal MRI sacroiliac were explored. Regarding SpA medications, number, frequency and dose of DMARDs and biological agents were obtained.Continuous variables were reported by their mean and standard deviation (SD) and qualitative variables by frequency and percentage. Statistical significance was set at p <0.05. Statistical analysis was performed using SPSS version 23.Results:Of the 305 enrolled SpA patients, 43 (14.1%) had FM. Females represents 57.4% of the patients, mean age was 44.07 ± 11.85 years. Arab ethnicity represents most of our cohort 84.9%, the majority were Emirati 64.6%. Smokers were 8.2% and ex-smokers were 3.3%. Axial SpA represents 38.4% while peripheral SpA 61.6% of our cohort according to ASAS classification.HLA B27 tested in a sample of 180 patients; it was positive in only 17.8%. CRP found to be elevated in 20.3% of the patients at baseline. Abnormal MRI SIJ bone marrow edema changes were found in 10.8%, while other SIJ changes was seen in additional 20.6%. The prevalence of FM showed no statistically significant difference between axial and peripheral SpA. Patients SpA and FM have longer disease duration than SpA alone, P= 0.034. Table.1 show demographics, socioeconomics and clinical data of our cohort.Regarding medication, the use of biologics among SpA patients with FM is more frequent than SpA patients without FM (74.4% vs 51.5 % respectively), P= 0.005. Interestingly, the likelihood ratio testing showed that SpA patient with Fibromyalgia switch more frequently to another biologics than SpA without fibromyalgia, P= 0.015.Cramer’s V test showed that there is a high statistically significant (P= 0.002) and very strong association (> 0.25) between presence of Fibromyalgia and multiple switching of biologics in SpA.There was no difference in the exposure to prednisolone nor conventional DMARDs between SpA patients with or without FM, P= 0.64 & 1 respectively.Gender, Female, n (%)175 (57.4)Age, mean ± SD (min- max), years44.07 ± 11.85 (18- 78)Type of A, n (%)AxialPeripheral117 (38.4)188 (61.6)Fibromyalgia, n (%)FM in axial SpAFM in Peripheral SpA43 (14.1)18 (41.9)25 (58.1)SpA Disease duration (months)FM+, mean ±SDFM-, mean ±SD107.7± 50.486± 57.9Elevated CRP, n (%)62 (20.3)HLA B27 in180 patients, n (%)PositiveNegative32 (17.8)148 (82.2)Abnormal MRI SIJ, n (%)Bone marrow edemaSubchondral sclerosisFatty transformation of bone marrowErosion92 (30.2)33 (10.8)21 (6.9)5 (1.6)2 (0.7)Number of conventional DMARDs ever tired, n (%)NoneOneTwoThree81 (26.6)166 (54.4)46 (15.1)12 (3.9)Frequency of DMARDs usage, n, (%)Conventional DMARDsPrednisoloneBiologic DNARDs224 (73.4)56 (18.4)164 (53.8)Conclusion:FM coexistence with SpA might impact clinical evaluation of disease activity and possibly negatively affect self-measurement of treatment response. In our study, SPA patients exposed to more biologics if they have coexisting FM; Moreover, they are more frequent switchers among biologics including TNFi and IL17i.Acknowledgments:N Elsidig, A Al Marzooqi, N Zamani, A HossainiDisclosure of Interests: :None declared
Precise differential diagnosis of acute bone marrow edema and hemorrhage and trabecular microfractures using naïve and gamma correction pinhole bone scans
