Changes in bone formation regulator biomarkers in early axial spondyloarthritis.

OBJECTIVE: The hallmark of advanced axial SpA (axSpA) is spine ankylosis due to excessive ectopic bone formation. This prospective study aimed to describe the changes in serum levels of different regulators [sclerostin, dickkopf-1 (DKK-1)] and markers of bone formation [bone morphogenetic protein 7 (BMP-7)] over 5 years in early axSpA patients and to assess determinants of such changes. METHODS: The DEvenir des Spondyloarthropathies Indifférenciées Récentes cohort is a prospective, multicentre French study of 708 patients with early (>3 months-<3 years) inflammatory back pain suggestive of axSpA. Serum levels of BMP-7, sclerostin and DKK-1 were assessed at baseline and after 2 and 5 years. Changes in bone formation regulators over time were analysed using mixed linear models. RESULTS: Serum BMP-7 significantly increased over time, with a median relative change of 223.7% [interquartile range (IQR) 0-10 700 (0.17 pg/ml/month), P < 0.001]. Serum sclerostin significantly increased over time, with a median relative change of 14.8% [IQR -7.9-41.4% (0.001 ng/ml/month), P < 0.001]. Serum DKK-1 did not significantly change over time. Serum BMP-7 increased over time in active disease (Ankylosing Spondylitis Disease Activity Score with CRP ≥1.3, P = 0.01), but the increase was less pronounced with TNF inhibitor (TNFi) use (P < 0.001). No determinant was associated with serum sclerostin change. CONCLUSION: Serum BMP-7 change over 5 years was related with inflammation; it was increased in active disease, but the increase was low with TNFi use. Serum sclerostin levels significantly increased over time, but to a lesser degree than for serum BMP-7. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/, NCT01648907.

Screening of dental and sinus infections in rheumatoid arthritis.

BACKGROUND: Rheumatoid arthritis (RA) is associated with increased risk of infections. Screening for oral (dental and/or sinus) infection could be proposed before biologic disease-modifying antirheumatic drugs (bDMARDs) initiation but is not systematically recommended. The aim of our study was to assess the prevalence of oral infection in RA patients requiring bDMARDs. MATERIALS AND METHODS: This was a monocentric retrospective study. We included patients with RA and active disease requiring bDMARDs. Dental infection and sinusitis were assessed by a stomatologist and otorhinolaryngologist after clinical, panoramic dental X-ray and sinus CT evaluation. Factors associated with oral infections were analysed in uni- and multivariate models, estimating odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: We included 223 RA patients (79.4% women, mean disease duration 8.9 ± 8.6 years). The mean age was 54.4 ± 10.9 years and mean Disease Activity Score in 28 joints 5.5 ± 2.6. Systematic dental screening revealed infection requiring treatment before bDMARDs initiation in 46 (20.9%) patients. Sinusitis was diagnosed by the otorhinolaryngologist in 33 (14.8%) patients. Among the 223 patients, 69 (30.9%) had dental and/or sinus infection. On univariate analysis, active smoking was associated with increased probability of oral infection (OR = 2.16 [95% CI 1.02-4.57], P = .038) and methotrexate with reduced probability (OR = 0.43 [95% CI 0.23-0.81], P = .006). On multivariate analysis, no RA variables were associated with oral infection. CONCLUSION: In our study, asymptomatic oral infection was confirmed in one third of RA patients.

Small fiber neuropathy in Sjögren syndrome: Comparison with other small fiber neuropathies.

INTRODUCTION: We compared histological and clinical profiles of primary Sjögren syndrome (pSS) small fiber neuropathy (SFN; pSS-SFN) with idiopathic SFN (i-SFN) and hereditary transthyretin amyloidosis SFN (hATTR-SFN) and described the evolution of pSS-SFN. METHODS: All patients with pSS-SFN, i-SFN, and hATTR-SFN confirmed by reduced intraepidermal nerve fiber density on skin biopsy were retrospectively included, and their characteristics were compared. To analyze prognosis of pSS-SFN, patients prospectively underwent a second evaluation. RESULTS: Fifteen pSS-SFN, 17 hATTR-SFN, and 11 i-SFN were included. Time to diagnosis SFN was longer in pSS-SFN and i-SFN than in hATTR-SFN. Painful and non-length-dependent patterns were more frequent in pSS-SFN than in hATTR-SFN. Twelve (80%) patients with pSS-SFN had a non-length-dependent pattern. Ten patients with pSS were reassessed after 3.1 years (1.7-4.7); none developed large fiber neuropathy linked to pSS. DISCUSSION: Primary Sjögren syndrome SFN is characterized by a more frequent non-length-dependent pattern compared with i-SFN and hATTR-SFN. Primary Sjögren syndrome SFN did not evolve through large fiber neuropathy.

Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study.

OBJECTIVES: The French E3N-EPIC (Etude Epidémiologique auprès des femmes de la Mutuelle générale de l'Education Nationale-European Prospective Investigation into Cancer and Nutrition) cohort enrolled 98 995 women aged 40 to 65 years at inclusion since 1990 to study the main risk factors for cancer and severe chronic conditions in women. They were prospectively followed with biennially self-administered questionnaires collecting self-reported medical, environmental and lifestyle data. Our objective was to assess the accuracy of self-reported diagnoses of rheumatoid arthritis (RA) and to devise algorithms to improve the ascertainment of RA cases in our cohort. DESIGN: A validation study. PARTICIPANTS: Women who self-reported an inflammatory rheumatic disease (IRD) were asked to provide access to their medical record, and to answer an IRD questionnaire. Medical records were independently reviewed. PRIMARY AND SECONDARY OUTCOME MEASURES: Positive predictive values (PPV) of self-reported RA alone, then coupled with the IRD questionnaire, and with a medication reimbursement database were assessed. These algorithms were then applied to the whole cohort to ascertain RA cases. RESULTS: Of the 98 995 participants, 2692 self-reported RA. Medical records were available for a sample of 399 participants, including 305 who self-reported RA. Self-reported RA was accurate only for 42% participants. Combining self-reported diagnoses to answers to a specific IRD questionnaire or to the medication reimbursement database improved the PPV (75.6% and 90.1%, respectively). Using the devised algorithms, we could identify 964 RA cases in our cohort. CONCLUSION: Accuracy of self-reported RA is poor but adding answers to a specific questionnaire or data from a medication reimbursement database performed satisfactorily to identify RA cases in our cohort. It will subsequently allow investigating many potential risk factors of RA in women.