Development and Implementation of the AIDA International Registry for Patients with Non-Infectious Uveitis

Introduction: The aim of this paper is to point out the design, development and deployment of the AutoInflammatory Disease Alliance (AIDA) International Registry for paediatric and adult patients with non-infectious uveitis (NIU). Methods: This is a physician-driven, population- and electronic-based registry implemented for both retrospective and prospective collection of real-world demographics, clinical, laboratory, instrumental and socioeconomic data of patients with uveitis and other non-infectious inflammatory ocular diseases recruited through the AIDA Network. Data recruitment, based on the Research Electronic Data Capture (REDCap) tool, is thought to collect standardised information for real-life research and has been developed to change over time according to future scientific acquisitions and potentially communicate with other similar instruments. Security, data quality and data governance are cornerstones of this platform. Results: Ninety-five centres have been involved from 19 countries and four continents from 24 March to 16 November 2021. Forty-eight out of 95 have already obtained the approval from their local ethics committees. At present, the platform counts 259 users (95 principal investigators, 160 site investigators, 2 lead investigators, and 2 data managers). The AIDA Registry collects baseline and follow-up data using 3943 fields organised into 13 instruments, including patient's demographics, history, symptoms, trigger/risk factors, therapies and healthcare utilization for patients with NIU. Conclusions: The development of the AIDA Registry for patients with NIU will facilitate the collection of standardised data leading to real-world evidence and enabling international multicentre collaborative research through inclusion of patients and their families worldwide

COVID-19 in rheumatic diseases in Italy: first results from the Italian registry of the Italian Society for Rheumatology (CONTROL-19)

OBJECTIVES: Italy was one of the first countries significantly affected by the coronavirus disease 2019 (COVID-19) epidemic. The Italian Society for Rheumatology promptly launched a retrospective and anonymised data collection to monitor COVID-19 in patients with rheumatic and musculoskeletal diseases (RMDs), the CONTROL-19 surveillance database, which is part of the COVID-19 Global Rheumatology Alliance. METHODS: CONTROL-19 includes patients with RMDs and proven severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) updated until May 3rd 2020. In this analysis, only molecular diagnoses were included. The data collection covered demographic data, medical history (general and RMD-related), treatments and COVID-19 related features, treatments, and outcome. In this paper, we report the first descriptive data from the CONTROL-19 registry. RESULTS: The population of the first 232 patients (36% males) consisted mainly of elderly patients (mean age 62.2 years), who used corticosteroids (51.7%), and suffered from multi-morbidity (median comorbidities 2). Rheumatoid arthritis was the most frequent disease (34.1%), followed by spondyloarthritis (26.3%), connective tissue disease (21.1%) and vasculitis (11.2%). Most cases had an active disease (69.4%). Clinical presentation of COVID-19 was typical, with systemic symptoms (fever and asthenia) and respiratory symptoms. The overall outcome was severe, with high frequencies of hospitalisation (69.8%), respiratory support oxygen (55.7%), non-invasive ventilation (20.9%) or mechanical ventilation (7.5%), and 19% of deaths. Male patients typically manifested a worse prognosis. Immunomodulatory treatments were not significantly associated with an increased risk of intensive care unit admission/mechanical ventilation/death. CONCLUSIONS: Although the report mainly includes the most severe cases, its temporal and spatial trend supports the validity of the national surveillance system. More complete data are being acquired in order to both test the hypothesis that RMD patients may have a different outcome from that of the general population and determine the safety of immunomodulatory treatments

Influence of Antisynthetase Antibodies Specificities on Antisynthetase Syndrome Clinical Spectrum TimeCourse

Introduction: Increased cardiovascular (CV) morbidity and mortality is observed in inflammatory joint diseases (IJDs) such as rheumatoid arthritis, ankylosing spondylitis, and psoriatic arthritis. However, the management of CV disease in these conditions is far from being well established.Areas covered: This review summarizes the main epidemiologic, pathophysiological, and clinical risk factors of CV disease associated with IJDs. Less common aspects on early diagnosis and risk stratification of the CV disease in these conditions are also discussed. In Europe, the most commonly used risk algorithm in patients with IJDs is the modified SCORE index based on the revised recommendations proposed by the EULAR task force in 2017.Expert opinion: Early identification of IJD patients at high risk of CV disease is essential. It should include the use of complementary noninvasive imaging techniques. A multidisciplinary approach aimed to improve heart-healthy habits, including strict control of classic CV risk factors is crucial. Adequate management of the underlying IJD is also of main importance since the reduction of disease activity decreases the risk of CV events. Non-steroidal anti-inflammatory drugs may have a lesser harmful effect in IJD than in the general population, due to their anti-inflammatory effects along with other potential beneficial effects.This research was partially funded by FOREUM—Foundation for Research in Rheumatolog

Impact of one-year treatment with biotechnological drugs on work ability in patients with rheumatoid arthritis in Italy: a prospective real-life study

Objectives: We aimed to evaluate the impact of biologic therapy on work productivity outcomes in an Italian real-life cohort of biologic-naïve patients with active rheumatoid arthritis (RA). Methods: This observational prospective multicentre study enrolled RA patients in working age with an active disease who started their first biologic agent. Every patient completed the RA-specific Work Productivity Survey (WPS-RA) at each clinical evaluation (baseline, 6 and 12 months). The primary outcome of the study was the productivity gain at 12 months from the beginning of the biologic treatment, compared to baseline, assessed in terms of absenteeism and presenteeism reduction, both for employed and unemployed subjects. Linear regression analyses were performed to assess the impact of patient- and disease-related variables on productivity gain. Results: Overall, 100 patients were enrolled and 85 completed the study. All indexes of disease activity and functional ability were significantly improved from baseline already at 6 months. At 12 months, the 55 employed subjects showed a significant reduction in the mean number of days of work missed (absenteeism) and of reduced productivity (presenteeism). A significant reduction in the mean number of days of household work missed was observed for all patients. At multivariate analysis, functional disability had a significant negative impact on all parameters of household work productivity, while the achievement of a low disease activity or remission was inversely correlated with presenteeism. Conclusions: One year of treatment with a biological drug significantly impacts on the disease activity and work ability of RA patients and allows economic gains due to productivity improvement

Vitamin D and immunomodulation in early rheumatoid arthritis: A randomized double-blind placebo-controlled study

<div><p>The aim of this study was to evaluate differences in T helper cell sub-types and osteoclast (OCs) precursors in peripheral blood between patients affected by early rheumatoid arthritis (eRA) and healthy controls. The effect of administration of cholecalcipherol on clinical and laboratory parameters was subsequently evaluated, by a parallel, randomized double blind, placebo controlled trial. Thirty nine eRA patients and 31 age-matched controls were enrolled and compared for levels of 25OH vitamin D, T helper cell sub-types, OCs precursors including both classical and non-classical and pro-inflammatory cytokines at baseline. Eligible patients were female ≥18 years of age with a diagnosis of RA, as defined by the American College of Rheumatology 2010 criteria for <6 months prior to inclusion in the study. Patients with auto-immune or inflammatory diseases other than RA were excluded. Patients treated with glucocorticoids (GCs), disease modifying activity drugs and biologic agents within the past 6 months were also excluded. In the second phase of the study, eRA patients were randomly assigned to standard treatment with methotrexate (MTX) and GCs with (21) or without (18) cholecalcipherol (300,000 IU) and followed for 3 months; the randomization was done by computer generated tables to allocate treatments. Three patients didn’t come back to the follow up visit for personal reasons. None of the patients experienced adverse events. The main outcome measures were T cells phenotypes, OCs precursors and inflammatory cytokines. Secondary outcome measure were clinical parameters. In eRA, 25OH vitamin D levels were significantly lower. CD4+/IFNγ+,CD4+/IL4+, CD4+/IL17A+ and CD4+IL17A+IFNγ+, cells were increased in eRA as well as non-classical OCs precursors, whereas T regulatory cells were not altered. TNFα, TGFβ1, RANKL, IL-23 and IL-6 were increased in eRA. Non-classical OCs, IL-23 and IL-6 correlated with disease severity and activity. Standard treatment with MTX and GC ameliorated clinical symptoms and reduced IL-23, whereas it did not affect CD4+ cells sub-sets nor OCs precursors. After 3 months, the combined use of cholecalcipherol significantly ameliorated the effect of treatment on global health. In eRA, a significant imbalance in T CD4+ sub-types accompanied by increased levels of non-classical OCs precursors and pro-inflammatory cytokines was observed. A single dose of cholecalcipherol (300,000 IU) combined with standard treatment significantly ameliorates patients general health.</p></div

T helper subsets in eRA patients and healthy controls.

<p>Dot plots show CD4+/IFNγ+ (panel A), CD4+/IL4+ (panel B), CD4+/IL17A+ (panel C), CD4+/IL17A+/IFNγ+ (panel D) and Tregs (panel E);mean and SD are shown, p values were calculated by Mann-Whitney test and are displayed.</p

Effect of treatment with and without cholecalcipherol on inflammatory cytokines in eRA patients.

<p>Graphs show IL-23 (panel A), IL-17 (panel B), IL-6 (panel C), TNFα (panel D), TGFβ1 (panel E) and RANKL (panel F); mean and SD are shown, p values were calculated by Mann-Whitney test and are displayed. Tables (panels G and H) show the MANOVA for repeated measures for IL-23, IL-17, IL-6, TNFα, TGFβ1 and RANKL and the effect of standard treatment with or without the addition of cholecalcipherol, quadratic mean, F and p value are shown. The linear model was carried out after logarithmic transformation of non-Gaussian variables. All the analyses were done in 18 patients per group. P values were corrected for multiple comparisons.</p

Clinical characteristics of patients treated with standard treatment with or without cholecalcipherol 300000 IU.

<p>Mean ± SD is shown for Gaussian variables, for non-Gaussian variables (indicated by *) median (25–75 percentiles) are indicated. Comparison between the two groups after intervention were calculated by means of ANOVA one-way after Bonferroni correction, p values are shown where appropriate.</p

Effect of treatment with and without cholecalcipherol on clinical parameters in eRA patients.

<p>Graphs show DAS28 (panel A), HAQ (panel B), GH (panel C), CRP (panel D), VAS pain (panel E) and ERS (panel F); mean and SD are shown, p values were calculated by Student paired t-test and are displayed. Tables (panels G and H) show the MANOVA for repeated measures for DAS28, HAQ, GH, CRP, VAS pain and ESR and the effect of standard treatment with or without the addiction of cholecalcipherol, quadratic mean, F and p value are shown. All the analyses were done in 18 patients per group. P values were corrected for multiple comparisons.</p