SAT0092 CARDIOVASCULAR RISK ASSESSMENT IN PATIENTS WITH AUTOIMMUNE RHEUMATIC DISEASES: AN ITALIAN RHEUMATOLOGISTS' SURVEY

Background:Cardiovascular (CV) disease is the leading cause of morbidity and mortality in patients with inflammatory arthritis. The growing attention to the CV risk characterizing patients with autoimmune inflammatory disease led EULAR to provide recommendations on CV risk management (1). To date, there are no data on the adherence to EULAR recommendation among Italian rheumatologists.Objectives:Our objective was to measure the level of awareness and the attitude to manage CV risk.Methods:Italian rheumatologists were invited to anonymously answer a web-based questionnaire designed by the steering committee of the Cardiovascualr and Obesity in Rheumatic Diseases (CORDIS) study group of the Italian Society of Rheumatology. The first part of the questionnaire concerned demographic information; the subsequent questions concerned the attitude to assess CV risk and the limitations for not assessing, the specific CV risks considered in the clinical practice and their management. Data are presented using standard summary statistics and were expressed as mean+/-standard deviation or median (interquartile range) according to variables' distribution.Results:One thousand-three hundred rheumatologists (of whom 500 are under 40 and 100 over 70 years of age) have been invited by email to complete the survey. The questionnaire has been filled by 102 rheumatologists (7.85%) (53 females and 49 males) with a median age of 38 years (32-48) and a median of 4 (0-15) years of specialization. Most of the physician who answered the questionnaire works in University Hospitals (67/102; 65.7%), 22 out of 102 (21.6%) in non-academic Hospitals, and the remaining 12,7% in territorial outpatient clinics.When asked if they usually evaluate CV risk in patients with autoimmune rheumatic diseases, 67/102 (67.2%) answered positively, 18 no (17.6%) and 7 did not answer the question; 82% of those who routinely assess the CV do it by themselves. The barriers limiting the assessment of CV risk included: i) lack of time (79%); ii) complex management (12%); inadequate training (9%).As for the CV risk factors, lipid profile, hypertension and diabetes are assessed by most of the rheumatologists (90%, 89% and 88%, respectively), family history by 78% and body mass index by 75.3% and waist circumference only by 25% of those who completed the survey.Finally, only 18.6% stated that they manage by themselves CV risk in patients with autoimmune rheumatic diseases while 50% refer patients to other specialists and 23.4% to general practitioner.Conclusion:Despite the growing awareness on the CV risk characterizing patients with autoimmune rheumatic disease, about one third of young Italian rheumatologists does not strictly adhere to the EULAR recommendations on CV management, mostly due to insufficient time during the routine care visits.References:[1] Agca R et al. Ann Rheum Dis 2017; 76: 17-28.Disclosure of Interests:Francesca Romana Spinelli Grant/research support from: Pfizer, Speakers bureau: Lilly, BMS, Celgene, Fabio Cacciapaglia Speakers bureau: BMS; Roche; Pfizer; Abbvie, Fabiola Atzeni: None declared, Gianluca Erre: None declared, Andreina Manfredi: None declared, Elena Bartoloni Bocci: None declared, Matteo Piga: None declared, Garifallia Sakellariou Speakers bureau: Abbvie, Novartis, MSD, Ombretta Viapiana: None declared, Elisa Gremese Speakers bureau: Abbvie, BMS, Celgene, Jannsen, Lilly, MSD, Novartis, Pfizer, Sandoz, UC

SAJaS: enabling JADE-based simulations

Multi-agent systems (MAS) are widely acknowledged as an appropriate modelling paradigm for distributed and decentralized systems, where a (potentially large) number of agents interact in non-trivial ways. Such interactions are often modelled defining high-level interaction protocols. Open MAS typically benefit from a number of infrastructural components that enable agents to discover their peers at run-time. On the other hand, multi-agent-based simulations (MABS) focus on applying MAS to model complex social systems, typically involving a large agent population. Several MAS development frameworks exist, but they are often not appropriate for MABS; and several MABS frameworks exist, albeit sharing little with the former. While open agent-based applications benefit from adopting development and interaction standards, such as those proposed by FIPA, MABS frameworks typically do not support them. In this paper, a proposal to bridge the gap between MAS simulation and development is presented, including two components. The Simple API for JADE-based Simulations (SAJaS) enhances MABS frameworks with JADE-based features. While empowering MABS modellers with modelling concepts offered by JADE, SAJaS also promotes a quicker development of simulation models for JADE programmers. In fact, the same implementation can, with minor changes, be used as a large scale simulation or as a distributed JADE system. In its current version, SAJaS is used in tandem with the Repast simulation framework. The second component of our proposal consists of a MAS Simulation to Development (MASSim2Dev) tool, which allows the automatic conversion of a SAJaS-based simulation into a JADE MAS, and vice-versa. SAJaS provides, for certain kinds of applications, increased simulation performance. Validation tests demonstrate significant performance gains in using SAJaS with Repast when compared with JADE, and show that the usage of MASSim2Dev preserves the original functionality of the system. © Springer-Verlag Berlin Heidelberg 2015

Clinical Features of Diabetes Mellitus on Rheumatoid Arthritis: Data from the Cardiovascular Obesity and Rheumatic DISease (CORDIS) Study Group

Rheumatoid arthritis (RA) and diabetes mellitus (DM) are linked by underlying inflammation influencing their development and progression. Nevertheless, the profile of diabetic RA patients and the impact of DM on RA need to be elucidated. This cross-sectional study includes 1523 patients with RA and no episodes of cardiovascular events, followed up in 10 Italian University Rheumatologic Centers between 1 January and 31 December 2019 belonging to the “Cardiovascular Obesity and Rheumatic DISease (CORDIS)” Study Group of the Italian Society of Rheumatology. The demographic and clinical features of DM RA patients were compared to non-diabetic ones evaluating factors associated with increased risk of DM. Overall, 9.3% of the RA patients had DM, and DM type 2 was more common (90.2%). DM patients were significantly older (p < 0.001), more frequently male (p = 0.017), with a significantly higher BMI and mean weight (p < 0.001) compared to non-diabetic patients. DM patients were less likely to be on glucocorticoids (p < 0.001), with a trend towards a more frequent use of b/ts DMARDs (p = 0.08), and demonstrated higher HAQ (p = 0.001). In around 42% of patients (n = 114), DM diagnosis preceded that of RA. Treatment lines were identical in diabetic and non-diabetic RA patients. DM is a comorbidity that may influence RA management and outcome. The association between DM and RA supports the theory of systemic inflammation as a condition underlying the development of both diseases. DM may not have a substantial impact on bDMARDs resistance, although further investigation is required to clarify the implications of biological therapy resistance in RA patients