Background: Since 2022 clinicians have been consistently aware by the European Medical Agency (EMA) of prescribing Jak-inhibitors (JAKi) after assessing a risk/benefit ratio, especially in patients with rheumatoid arthritis (RA)1. Nevertheless, during the last years, uptake of selective JAKis has consistently increased, although limited data regarding differences between selective and unselective JAKis are available to date. Objectives: To assess differences between selective and unselective JAKIs in terms of discontinuation's rate. Methods: In this retrospective study, all patients with RA treated with JAKis were prospectively enrolled from 22 Italian centres since 2017. Selective JAKi included filgotinib and upadactinib, whereas unselective JAKIs included tofacitinib and baricitinib. Reasons of discontinuation rates were: primary and secondary inefficacy, remission, adverse events [deaths, infections, onset of major cardiovascular events-(MACEs)-, deep vein thrombosis-(DVT)-, pulmonary embolism-PE, cancers]. The following variables were collected at JAKi's first prescription: sex, age, disease duration (years), smoking, BMI, comorbidities (diabetes, hypertension, dyslipidaemia, cancer, major cardiovascular events-MACEs), positive RF/ACPA, associated cDMARDs, prednisone and prednisone dosage (mg/day), previous use of JAKi, time to discontinuation (days), reasons of discontinuation, discontinuation rates for each JAKi, line of treatment, DAS28-ESR, b/tsDMARDS naïve patients. Results: 693 patients were included in study. 395 (57%) patients received baricitinib, 150 (21.7%) tofacitinib, 94 (13.6%) upadacitinib and 54 (7.8%) filgotinib. The majority of patients were treated with unselective JAKi (78.6% vs 21.4% of selective JAKi). 157 (22.7%) patients discontinued JAKI after a median time of 334 days (IQR 152-869). Details of discontinuation rates for each drug are reported in Table 1. Reasons of discontinuation were primary inefficacy (n=55, 7.9%), secondary inefficacy (n=29, 4.2%), infections (n=9, 1.3%), PE/DVT (n=6, 0.9%), cancer (n=6, 0.9%), deaths (n=2, 0.3%), and other causes (n=7, 3.5%) including remission status in 1 patient. No MACEs were observed in this cohort during the follow up period, although 348 patients (50.2%) had at least one comorbidity at baseline. Notably, both VZV infection (n=3) and DVT/PE (N=6) occurred in patients on treatment with baricitinib. Among 157 patients who discontinued JAKi, a statistical difference between selective and unselective JAKIs was found (15.9% on selective JAKi vs. 84.1% on unselective JAKI, p value <0.001 at log-rank test, Figure 1). Finally selective JAKi were withdrawn before unselective JAKi (median 173 days, IQR 129-22 vs median 401.5 days, IQR 173.5-981). Conclusion: In this real-world cohort, only a minority of patients discontinued JAKi (22.7%). Primary and secondary inefficacy were the most common reasons of JAKi's withdrawal. All TVP/PE and VZV infections occurred in the baricitinib group, probably due to different overall time of drug's exposition. Finally, selective JAKis were discontinued earlier than unselective JAKi. REFERENCES: [1] Smolen JS, et al. Ann Rheum Dis 2023. Acknowledgements: NIL. Disclosure of Interests: Maddalena Larosa UCB, ABBVIE, AMGEN, Dario Camellino AStrazeneca, Boerhinger Ingelheim GSK, and Janssen, Andrea Becciolini: None declared, Eleonora Di Donato: None declared, Giuditta Adorni: None declared, Gianluca Lucchini: None declared, Daniele Santilli: None declared, Eugenio Arrigoni: None declared, Elena Bravi: None declared, Ilaria Platè: None declared, Alessandra Bezzi: None declared, Alessandra Bezzi: None declared, Maria Cristina Focherini: None declared, Fabio Mascella: None declared, Vincenzo Bruzzese: None declared, Palma Scolieri: None declared, Simone Parisi: None declared, Maria Chiara Ditto: None declared, Enrico Fusaro: None declared, Viviana Ravagnani: None declared, Guido Rovera: None declared, Alessia Fiorenza: None declared, Rosetta Vitetta: None declared, Antonio Marchetta: None declared, Alessandro Volpe: None declared, BERND RAFFEINER: None declared, Eleonora Celletti: None declared, Myriam Di Penta: None declared, Emanuela Sabatini: None declared, Francesco Cipollone: None declared, Francesca Ometto: None declared, Cecilia Giampietro: None declared, Valeria Nucera: None declared, Aurora Ianniello: None declared, Francesca Serale: None declared, Marta Priora: None declared, Dilia Giuggioli: None declared, Carlo Salvarani: None declared, Gilda Sandri: None declared, Federica Lumetti: None declared, FRANCESCO MOLICA COLELLA: None declared, Veronica Franchina: None declared, Aldo Molica Colella: None declared, Patrizia Del Medico: None declared, Rosalba Caccavale: None declared, Marino Paroli: None declared, Giulio Ferrero: None declared, Natalia Mansueto: None declared, Romina Andracco: None declared, Matteo Colina: None declared, Simone Bernardi: None declared, Francesco Girelli: None declared, Antonella Farina: None declared, Roberta Foti: None declared, Francesco De Lucia: None declared, Giorgio Amato: None declared, Rosario Foti: None declared, Alberto Lo Gullo: None declared, Mirco Magnani: None declared, Olga Addimanda: None declared, Massimo Reta: None declared, Alarico Ariani AMGEN, JANSSEN.

Background Janus kinase (JAK) inhibitors have been approved for the treatment of Rheumatoid Arthitis (RA) and other systemic or organ-specific autoimmune diseases. Sustained remission or low disease activity are target treatments recomended by European League Against Rheumatism (EULAR) in RA patients [1]. Upadacitinib (UPA), a reversible, oral JAK inhibitor, has been engineered to have a greater selectivity for JAK1 vs JAK2, JAK3, and tyrosine kinase. In the Phase 3 SELECT clinical trial program, UPA has been shown to be effective and well tollerate in patients with RA [2]. However, data on the use of UPA in real-world clinical practice are limited. Objectives To evaluate UPA effectiveness in RA patients and to report the main reasons of suspension and the most relevant factor related to treatment persistence. Methods In 25 Italian rheumatological referral centers, all RA consecutive patients who received UPA were enrolled. Anamnestic data, treatment history and RA disease activity at baseline were recorded.The 6 and 12 months UPA retention rate was assessed with the Kaplan-Meier curve methods. The Cox analysis investigated the effect of age, sex, smoke habit, ACPA/RF presence, disease duration, DAS28-CRP, line of treatment, concomitant csDMARD treatment on UPA retention rate. A p-value < 0.05 was considered statistically significant. Results The one-hundred-eleven enrolled patients median age 57 (IQR 50-65 yrs); M:F 28:83; disease duration 78 (IQR 40-170 months). The median observation period was 6.1 (IQR 3.2-10.2) months. The observation lasted 812 patients-months. The majority of patients (54.0%) were in mono-therapy and received steroids (respectively 54.0% and 58.6%) (Table 1).The UPA retention rate at 6, 12 months was, respectively 90.4% and 74.7% (Figure 1). The main discontinuation reason was lack of efficacy (42% of interruptions), cancer onset and infections (both 11%). No thromboembolic events were reported.According to the Cox analysis, no one of the above mentioned parameters were associated to high risk of treatment interruption. Conclusion UPA effectiveness appears to be confirmed. The safety profile of UPA 15 mg in real-world practice is consistent with data from Phase 3 SELECT trials, with no new safety signals. References [1]Smolen JS, et al. Ann Rheum Diseases 2023;82:3-18.[2]Burmester GR et al.Lancet 2018; 23;391(10139):2503-2512 Acknowledgements: NIL. Disclosure of Interests None Declared.Figure 1Table 1Baseline characteristics UPACharacteristicsValueM:F28:83Age, median [IQR] yrs58 [50-65]Smokers, n (%) (**)YesFormerNo16 (16,5)17 (17,5)64 (66,0)Body Mass Index, median [IQR] kg/m^2 (*)24,7 [22,4-27,7]Disease Duration, median [IQR], months78 [40-170]RF positivity, n (%)72 (64,9)ACPA positivity, n (%)68 (61,3)SJC, median [IQR]4 [3-8]TJC, median [IQR]8 [5-11]ESR, median [IQR], mm/h32 [20-53]CRP, median [IQR], mg/dl1,2 [0,5-3,3]VAS Patient (0-100), median [IQR]70 [50-80]DAS28, median [IQR]5,5 [4,9-5,9]Line of treatment, [IQR]3 [2-4]Concomitant csDMARDs use, n (%)MTXLFNSSZHCQ41 (36,9)3 (2,7)1 (0,9)5 (4,5)Concomitant steroids use, n (%)65 (58,6)Steroids dose (PDN-Eq), median, mg/die5 [5-6]Prior bDMARDs use, n (%)TNFiIL6iIL1iCD20iCD80i53 (47,7)13 (11,7)02 (1,8)11 (9,9)Prior tsDMARDs use, n (%)BaricitinibTofacitinib9 (8,1)2 (1,8)Concomitant relevant disease, n (%)DiabetesHypercholesterolemiaMACEArterial HypertensionCancer12 (10,8)23 (20,7)5 (4,5)34 (30,6)4 (3,6)

Background Psoriatic arthritis (PsA) is an inflammatory rheumatic disease characterized by different phenotypes in terms of joint involvement. Apremilast, PDE4 competitive inhibitor, has been introduced in the treatment of adult psoriatic arthritis (PsA) with moderate disease activity. Musculoskeletal ultrasound (MUS) is useful in the assessment of disease, treatment response and follow up in PsA patients. Choosing an effective and safe treatment over time is an increasingly urgent goal given the greater availability of indicated drugs. Objectives The aim of this study is to evaluate if MUS assessment before apremilast treatment can improvement its retention rate. Methods We enrolled consecutive patients affected by PsA (according to the CASPAR Criteria) from 15 rheumatology centers. The following data were recorded for each patient: age, gender, duration of disease, DAPSA; smoke, comorbilities; concomitant treatment; duration of therapy with apremilast; reason of sospensione, PsA phenotype (poliarticular or oligoarticular) (Table 1). All patients were divided in two subset according to the presence of a MUS assessment before apremilast treatment. The differentes between two groups were calculated by means of the Mann-Whitney and Chi-quadro tests. The Kaplan Meier curve and Cox analysis assessed the retention rate and associated factors. P values < 0.05 were considered statistically significant. Results ON Three hundred and fifty patients (m/f: 198/152; median age 60 years, IQR 52-67 years), 40% received MUS examination. In the MUS group there was a moderate disease (medium 22,9 IQR 18,2-29 vs 26,9 IQR 20,3-33,9; p=0,0006) and a prevalence of the oligoarticular pattern (73% vs 44%, p<0,0001). The retention rate was statistically higher in MUS group (Figure 1) (HR 0,57 IC95% 0,35-0,95; p=0,03). Conclusion In PSA patients treated with apremilast, MUS assessment at baseline was associated with an higher retetion rate. MUS could be useful in the PsA treatment algorithm in order to better identify those patients whose characteristics are favourable to apremilast response. References [1]\Ramona Lucchetti et al. IMAJ 2021 JULY;23(7): 412-415. [2]\Fulvia Ceccarelli et al. Clin Rheumatol. 2019 Nov;38(11):3145-3151 Acknowledgements: NIL. Disclosure of Interests None Declared.

Introduction: Enthesitis and dactylitis are difficult-to-treat features of psoriatic arthritis (PsA), leading to disability and affecting quality of life. Objective: The aim of this study is to evaluate enthesitis (using the Leed enthesitis index (LEI)) and dactylitis at 6 and 12 months in patients treated with apremilast. Methods: Patients affected by PsA from fifteen Italian rheumatological referral centers were screened. The inclusion criteria were: (a) enthesitis or dactylitisphenotype; (b) treatment with apremilast 30 mg bid. Clinical and treatment history, including PsA disease activity, were recorded. Mann–Whitney and chi-squared tests were used to assess the differences between independent groups, and Wilcoxon matched pairs signed-rank test assessed the differences between dependent samples. A p-value of <0.05 was considered statistically significant. Results: The Eph cohort consisted of 118 patients (median LEI 3); the Dph cohort included 96 patients with a median dactylitis of 1 (IQR 1–2). According to an intention to treat analysis, 25% and 34% of patients with enthesitis achieved remission (i.e., LEI = 0) in T1 and T2. The remission of dactylitis was 47% in T1 and 44% in T2. The per protocol analysis (patients observed for at least 12 months) showed that both dactylitis and LEI significantly improved in T1 (median LEI 1 (IQR 1–3)) and T2 (median LEI 0 (IQR 1–2)). Conclusion: Eph and Dph PsA patients treated with apremilast experienced a significant improvement in enthesitis and dactylitis activity. After 1 year, enthesitis and dactylitis remission was achieved in more than one-third of patients.

Background Current and previous EULAR recommendations (1,2) suggest using JAK-inhibitors (JAKis) for treating Rheumatoid Arthritis (RA). However, little is known about differences of patients who are JAK-inhibitors (JAKis) naïve and patients who have already experienced at least one JAKi. Objectives To analyse differences between JAK-naïve and JAKis not naive patients in a real life setting. Methods All patients with RA on JAKis were prospectively followed up for 12 months in this multicentric study conducted in 23 centres. For each patient, the following variables were recorded: sex, age, disease duration at JAKi prescription, smoking, BMI, comorbidities, positive RF/ACPA, DAS28-ESR at baseline, 6 and 12 months, cDMARDs and prednisone at baseline, JAKis discontinuation, JAK-naïve. Statistics were performed by R (2022.12.0). Results 864 patients were included (Table 1). Among them, 731 (84.60%) were JAKis naïve, whereas 122 (14.12%) were not naïve (missing data in 11-1.27%-patients). 473 (55.22%) patients were treated with baricitinib (JAK-naïve were 412, 87.3%), 213 (24.6%) with tofacitinib (JAKis-naïve 187, 87.79%), 111 (12.84%) with upadacitinib (JAKis-naïve 78.37%) and 62 (7.17%) with filgotinib (JAKis-naïve 72.58%). Significant differences between JAKis-naïve and not naïve were found for hypercholesterolemia (p=0.04), hypertension (p=0.02), previous cancer (p<0.001), disease duration (p<0.001), line of treatment (p<0.001). No difference was found for JAKis discontinuation (p=0.13) (Table 1). Conclusion Our data suggest that line of treatment and disease duration result higher in JAKis not naive compared to naïve ones. Notably, JAKis naïve and not naïve did not differ regarding drug discontinuation, suggesting a similar retention rate irrespective of previous JAKis. References [1] Smolen JS, et al. Ann Rheum Dis 2020.[2] Smolen JS, et al. Ann Rheum Dis 2023. Acknowledgements: NIL. Disclosure of Interests Maddalena Larosa: None declared, Andrea Becciolini: None declared, Elena Bravi: None declared, Dario Camellino Speakers bureau: Abiogen, GSK, Paid instructor for: Mylan, Ilaria Platé: None declared, eugenio arrigoni: None declared, Francesca Ometto: None declared, Eleonora Di Donato: None declared, Giuditta Adorni: None declared, Gianluca Lucchini: None declared, Daniele Santilli: None declared, Alessandra Bezzi: None declared, Maria Cristina Focherini: None declared, Fabio Mascella: None declared, Vincenzo Bruzzese: None declared, Palma Scolieri: None declared, Simone Parisi: None declared, Enrico Fusaro: None declared, Maria Chiara Ditto: None declared, Viviana Ravagnani: None declared, Gilda Sandri: None declared, Carlo Salvarani: None declared, Marta Priora: None declared, Marino Paroli: None declared, rosalba caccavale: None declared, Romina Andracco: None declared, Natalia Mansueto: None declared, Matteo Colina: None declared, Massimo Reta: None declared, Olga Addimanda: None declared, Alberto Lo Gullo: None declared, elisa visalli: None declared, Rosario Foti: None declared, Giorgio Amato: None declared, Francesco De Lucia: None declared, antonella farina: None declared, Francesco Girelli: None declared, Patrizia Del Medico: None declared, Aldo Molica Colella: None declared, Veronica Franchina: None declared, Francesco Molica Colella: None declared, Federica Lumetti: None declared, Aurora Ianniello: None declared, Valeria Nucera: None declared, Rosetta Vitetta: None declared, Alessia Fiorenza: None declared, Guido Rovera: None declared, Alessandro Volpe: None declared, Giulio Ferrero: None declared, Antonio Marchetta: None declared, Simone Bernardi: None declared, Gerolamo Bianchi: None declared, Alarico Ariani: None declared.Table 1Differences between JAKis naïve and not naïve patientsTotalTotal (N=864)JAKis naive (N=731)JAKis not naïve (N=122)P valueN (%)N (%)N(%)Mean age at baseline (SD) (N=852)58.83 (12.87)58.54 (12.92)60.61 (12.45)0.10Females (N=853)668 (78.31)564 (77.15)104 (85.25)0.05Mean BMI (Kg/cm2) (SD) (N=616)25.15 (3.77)25.18 (3.62)25.02 (4.46)0.68Smoking (N=788)0.13Yes150 (19.03)135 (19.97)15 (13.39)No496 (62.94)425 (62.87)71 (63.39)Former142 (18.02)116 (17.16)26 (23.31)Positive RF (N=800)527 (65.89)444 (64.91)83 (71.55)0.16Positive ACPA (N=787)491 (62.39)411 (61.43)80 (67.80)0.19Diabetes (N=760)68 (8.95)56 (8.78)12 (9.84)0.71Hypertension (N=761)297 (39.03)238 (37.25)59 (48.36)0.02Hypercholesterolemia (N=759)195 (25.36)155 (24.29)40 (33.06)0.04Previous MACE (N=758)47 (6.20)39 (6.13)8 (6.56)0.86Previous cancer (N=760)42 (5.52)39 (6.10)3 (2.48)<0.001Disease duration (months), (median, IQR) (N=844)76 (29-155)71 (24-142.50)142 (69-226)<0.001Mean DAS28-ESR at baseline (SD) (N=736)5.29 (1.06)5.27 (1.09)5.40 (0.89)0.22cDMARDs at baseline (N=771)280 (36.31)235 (36.21)45 (36.89)0.88PDN at baseline (N=438)438 (50.69)368 (57.38)70 (56.79)0.90Median dosage (IQR) of PDN (mg/day) (N= 438)5 (4.00-5.00)2.50 (0.00-5.00)4.00 (0.00-5-00)0.08Line of JAKis treatment (N=853)<0.0011^244 (28.60)244 (33.38)0 (0.00)2^211 (24.74)207 (28.32)4 (3.28)3^175 (20.63)172 (23.53)(3.28)4^109 (12.78)56 (7.66)53 (3.44)5^65 (7.62)32 (4.38)33 (27.05)6^28 (3.28)12 (1.64)6 (13.11)7^12 (1.41)6 (0.82)6 (4.92)8^3 (0.35)1 (0.14)2 (1.64)9^2 0.23)1 (0.14)1 (0.82)10^3 (0.35)0 (0.00)(2.46)Patients who discontinued JAKis (N=853)192 (22.51)158 (21.61)34 (27.87)0.13SD: standard deviation; BMI: Body Mass Index; RF: Rheumatoid Factor; ACPA: Autoantibodies against citrullinated proteins; MACE: Major cardiovascular events; PDN: prednisone; IQR: interquartile range; DAS28-ESR: Disease Activity Score-28 for Rheumatoid Arthritis with ESR; cDMARDs: conventional Disease-modifying antirheumatic agents; JAKis: JAK inhibitors.

ObjectivesThe persistence in therapy of rheumatoid arthritis drugs and particularly bDMARD is a limiting factor for their long-term use. The randomized controlled trials (RCTs) may not reflect real-world contexts due to strict inclusion and exclusion criteria. Baricitinib, which targets both JAK1 and JAK2, has been used in Italy for several years. The aim of this multi-center study is to assess the real world persistence on therapy of baricitinib in RA patients and to identify predictive factors of baricitinib's survival rate.MethodsThis is a retrospective, multicentric, Italian, longitudinal study. All patients were enrolled according to the following criteria: a) age ≥ 18 years old; b) diagnosed with RA according 2010 ACR/EULAR classification criteria; c) treated with baricitinib. In order to describe baricitinib clinical efficacy, the survival rate was evaluated by The Kaplan–Meier curve. Then, predictive factors of drug retention rate were assessed by performing the Cox analysis, identifying which risk factors influenced treatment persistence.ResultsOverall, we included 478 patients treated with baricitinib. Among them, 380 (79.5%) were females. Baricitinib's survival rate was 94.6% at 6 months, 87.9% at 12 months, 81.7% at 24 months and 53.4% at 48 months. The Cox analysis regression showed that a higher bDMARDs/tsDMARD line of therapy seems to be a negative prognostic factor for the drug retention rate (HR 1.26 CI 95% 1.07–1.49, p = 0.006.ConclusionReal-life study confirms baricitinib effectiveness up to 4 years, but previous treatment with bDMARDs was a negative prognostic factor for its survival rate.

BackgroundSystemic Sclerosis (SSc) is a complex autoimmune disease characterized by vascular damage, immune activation and fibrosis of skin and internal organs 1. Raynaud phenomenon (RP) is frequently the first symptom of the disease and growing evidences are supporting the hypothesis the SSc may be a vascular disease, with a pivotal role of endothelial cells, particularly in the very early phase2,3. Robust data support the use of vascular active drug to treat RP and to prevent vascular complication4–7.ObjectivesThe use of prostacyclin analog (PA) is evertything but standardized, with different regimen used all around the Country. We report data on the use of PA in a multicentric regional reality to understand which regimen are prevalent (and why) and if there is the opportunity to standardized them.MethodsWe collected data from an online survey exploring different items related to the use of PA.ResultsSurvey was fullfilled by 12 sites: 5 university hospital and 7 local hospitals, 7 driven by Rheumatologist and 5 from internal medicine specialists with/without concomitant rheumatologists. PA are ubiquitarly used for SSc-related digital ulcers (SSc-DU) and secondary RP but only a half of sites use it for primary RP. Seventy-five percent of sites (9/12) dispense PA at least once a month, but some other (1 each one respectively) on weekly basis, every other month or every 7 weeks. Drug administration may last from 2 to 5 consecutive days (mean 1.91+/- 1.5SD) with drug dose ranging from 0.5 to 2 ng/Kg/min with a minimum variability from site to site. Our regional hospitals may count on overall 68 spots, some available as beds (outpatient or inpatient), some as reclining chair or chair (outpatients only). University centers have usually more assigned personnel than local hospital (on average: 2 versus 1.5 physicians, 2 versus 1.2 nurse). Sites are able to offer meals (except one) and are able to accomodate from 1 to 12 patients at the same time (mean 3.45, +/- 3.2SD).ConclusionPA has known benefit in vascular involvement in SSc patients. Despite a multicenter palcebo-control study8 defining time and dose of this drugs and subsequent data based on the same regimen9, there is no homogeneity in treatment administration. The unequal treatment, based on our data, seems due to limited resources and personnel. High variability has been found in regimen duration and administration frequency.References[1]Ferri, C. et al. Systemic sclerosis evolution of disease pathomorphosis and survival. Our experience on Italian patients’ population and review of the literature. Autoimmunity Reviews vol. 13 1026–1034 (2014).[2]Mulligan-Kehoe, M. J. et al. Antiangiogenic plasma activity in patients with systemic sclerosis. Arthritis Rheum.56, 3448–58 (2007).[3]Wigley, F. M. Vascular disease in scleroderma. Clin. Rev. Allergy Immunol.36, 150–75 (2009).[4]Brueckner, C. S. et al. Effect of sildenafil on digital ulcers in systemic sclerosis: Analysis from a single centre pilot study. Ann. Rheum. Dis.69, 1475–1478 (2010).[5]Kowal-Bielecka, O. et al. EULAR recommendations for the treatment of systemic sclerosis: A report from the EULAR Scleroderma Trials and Research group (EUSTAR). Ann. Rheum. Dis.68, 620–628 (2009).[6]Matucci-Cerinic, M. et al. Bosentan treatment of digital ulcers related to systemic sclerosis: Results from the RAPIDS-2 randomised, double-blind, placebo-controlled trial. Ann. Rheum. Dis.70, 32–38 (2011).[7]Herrick, A. L. & Wigley, F. M. Raynaud’s phenomenon. Best Practice and Research: Clinical Rheumatology (2020) doi:10.1016/j.berh.2019.101474.[8]Wigley, F. M. et al. Intravenous iloprost infusion in patients with Raynaud phenomenon secondary to systemic sclerosis: A multicenter, placebo-controlled, double- blind study. Ann. Intern. Med.120, 199–206 (1994).[9]Cappelli, L. & Wigley, F. M. Management of Raynaud Phenomenon and Digital Ulcers in Scleroderma. Rheumatic Disease Clinics of North America vol. 41 419–438 (2015).Disclosure of InterestsNone declared

OBJECTIVES:To define the clinical spectrum time-course and prognosis of non-Asian patients positive for anti-MDA5 antibodies. METHODS:We conducted a multicentre, international, retrospective cohort study. RESULTS:149 anti-MDA5 positive patients (median onset age 53 years, median disease duration 18 months), mainly females (100, 67%), were included. Dermatomyositis (64, 43%) and amyopathic dermatomyositis (47, 31%), were the main diagnosis; 15 patients (10%) were classified as interstitial pneumonia with autoimmune features (IPAF) and 7 (5%) as rheumatoid arthritis. The main clinical findings observed were myositis (84, 56%), interstitial lung disease (ILD) (108, 78%), skin lesions (111, 74%), and arthritis (76, 51%). The onset of these manifestations was not concomitant in 74 cases (50%). Of note, 32 (21.5%) patients were admitted to the intensive care unit for rapidly progressive-ILD, which occurred in median 2 months from lung involvement detection, in the majority of cases (28, 19%) despite previous immunosuppressive treatment. One-third of patients (47, 32% each) was ANA and anti-ENA antibodies negative and a similar percentage was anti-Ro52 kDa antibodies positive. Non-specific interstitial pneumonia (65, 60%), organising pneumonia (23, 21%), and usual interstitial pneumonia-like pattern (14, 13%) were the main ILD patterns observed. Twenty-six patients died (17%), 19 (13%) had a rapidly progressive-ILD. CONCLUSIONS:The clinical spectrum of the anti-MDA5 antibodies-related disease is heterogeneous. Rapidly-progressive ILD deeply impacts the prognosis also in non-Asian patients, occurring early during the disease course. Anti-MDA5 antibody positivity should be considered even when baseline autoimmune screening is negative, anti-Ro52 kDa antibodies are positive, and radiology findings show a NSIP pattern.

Background Apremilast, an inhibitor of the phosphodiesterase 4, is indicated for Psoriatic Arthritis (PsA) treatment. The 3 years retention rate, an outcome indirectly related to efficacy, observed in clinical trials [1] is 55,5%. A single subsequent real world setting study [2] suggested a lower efficacy as it reported that the six months retention rate was about 57%. Objectives The main aim of this retrospective observational study is the assessment of apremilast 3 years retention rate in a real world PsA patients’ cohort. Moreover, the secondary objective is reporting the reasons of apremilast suspension and the most relevant factor related to treatment persistence. Methods In thirteen Italian rheumatological referral centers, all PsA consecutive patients who received apremilast were enrolled. Anamnestic data, treatment history and PsA disease activity (DAPSA) at baseline and after 6 and 12 months were recorded. The Kaplan-Meier curve and the Cox analysis computed the apremilast retention rate and treatment persistence-related risk factors. A p-value < 0.05 was considered statistically significant. Results The three-hundred-twenty-four enrolled patients (median age 60 [InterQuartile Range IQR 52-67] yrs; female prevalence 57,0%) median observation period was 17 [IQR 7-36] months (6848 patients-months). The apremilast retention rate at 6, 12 and 36 months was, respectively, 95%, 86% and 66% (Figure 1). The main discontinuation reasons were: primary inefficacy (40% of interruptions), secondary inefficacy (18%) and gastro-intestinal intolerance (17%%). The oligo-articular onset was the only factor associated to apremilast persistence (Hazard ratio 0.57 IQR 0.34-0.96). Sex, age, and sever comorbidities (cancer, chronic infections etc) were not related to treatment discontinuation. The basal DAPSA (24.1, IQR 18.5-32.0) decreased after 6 and 12 months (respectively 14.5, IQR 10.1-22.6 and 10.5, IQR 8,0-15.2). Remission or minimal disease activity (DAPSA < 15) was achieved after 12 months in 38.0% of patients. Conclusion Almost two third of PsA patients receiving apremilast were still in treatment after 3 years. The study’s data, confirmed its efficacy and safety profile. Apremilast appear a good treatment choice in patients with oligo articular PsA or burdened by severe comorbidities. References [1]Mease et al. ACR Open Rheumatology (2020) [2]Favalli et al Clin Exp Rheum (2020) Disclosure of Interests Alarico Ariani Speakers bureau: Zentiva, Consultant of: Boeringher, Amgen, Bristol-Meyers-Squibb, Novartis, Sanofi, Novo Nordisk, Lilly, Janssen, Bruno Farmaceutici, Simone Parisi: None declared, Patrizia Del Medico: None declared, antonella farina: None declared, elisa visalli: None declared, Aldo Molica Colella: None declared, Federica Lumetti Consultant of: Amgen, rosalba caccavale: None declared, Palma Scolieri: None declared, Romina Andracco: None declared, Francesco Girelli: None declared, Elena Bravi: None declared, Matteo Colina: None declared, Veronica Franchina: None declared, Ilaria Platé: None declared, eleonora Di Donato Consultant of: Novartis, Giorgio Amato: None declared, Carlo Salvarani: None declared, Francesco De Lucia: None declared, Daniele Santilli Consultant of: Novartis, eugenio arrigoni: None declared, Flavio Mozzani Consultant of: Novartis, Abbvie, Rosario Foti: None declared, Gilda Sandri: None declared, Vincenzo Bruzzese: None declared, Marino Paroli: None declared, Enrico Fusaro: None declared, Andrea Becciolini: None declared

Background: Interstitial lung disease (ILD) is the main cause of death in Systemic Sclerosis (SSc). Chest CT is the gold standard in detecting ILD although it is not easy to understand its prognostic value. ILD qualitative assessment is almost worthless. Goh et al. semi quantitative score of ILD extent is related to mortality risk but it is burdened by relevant inter/intra-readers variability. An operator independent algorithm based on voxel-wise analysis proved to identify SSc patients with an increased risk of mortality according to prediction models. Objectives: To verify if quantitative analysis of chest CT (QCT) predict 10 years-mortality in SSc patients. Methods: SSc patients with availability of a chest CT were enrolled in 13 different centers. The CT voxel-wise analysis with a free software ( www.horosproject.com ) provided QCT indexes: kurtosis, skewness, mean lung attenuation and standard deviation. Patients characteristics, autoimmune profile and pulmonary function test were collected. The follow-up interval lasted from the date of chest CT to the one of the last visit or death. Each QCT index cutoff, established in a previous study (1), clustered patients in two groups. Kaplan-Meier analysis estimated and compared survival in the above mentioned groups. p < 0.05 was considered statistically significant. Results: Five hundred sixty three SSc patients were enrolled (35938 patient-months); 52.4% had ILD detectable at CT scan. For each QCT index cutoff the cohort was split in two subgroups without differences in terms of sex, age, disease duration, autoimmune profile. All QCT indexes’ cutoff selected subgroups with statistically different survival rate (e.g in Figure 1). Figure 1 Conclusion: QCT can arise as the new gold standard in identifying SSc patients with poor prognosis. The real possibility to stratify SSc subjects according mortality risk will have a pivotal role in ILD treatment decisional process with the incoming anti-fibrotic drugs. References: [1]Ariani A et al. Rheumatology 2017 Disclosure of Interests: Alarico Ariani: None declared, Elena Bravi: None declared, Maria De Santis: None declared, Vanessa Hax: None declared, Simone Parisi: None declared, Federica Lumetti: None declared, Francesco Girelli: None declared, Marta Saracco: None declared, Fabio De Gennaro: None declared, Alessandro Giollo: None declared, Masen Abdel Jaber: None declared, Francesco Bozzao: None declared, Mario Silva: None declared, Maria Chiara Ditto: None declared, Claudia Lomater: None declared, Flavio Mozzani: None declared, Daniele Santilli: None declared, eleonora Di Donato: None declared, Andrea Becciolini Speakers bureau: Sanofi-Genzyme, UCB and AbbVie, Francesco Pucciarini: None declared, Lorenzo Canziani: None declared, Flavio Cesare Bodini: None declared, eugenio arrigoni: None declared, M Bredemeier: None declared, Rafael Mendonça da Silva Chakr: None declared, Amelia Spinella: None declared, Luca Idolazzi: None declared, Roberto Bortolotti: None declared, Paola Tomietto: None declared, Elisa Baratella: None declared, Saverio Tollot: None declared, Dilia Giuggioli: None declared, Fabio Fischetti: None declared, Enrico Fusaro: None declared, Nicola Sverzellati: None declared, Carlo Alberto Scirè: None declared

Material and Methods: We studied 4 patients with diffuse systemic sclerosis (3 with recent alveolitis and 1 with chronic alveolar fibrosis) who received mycophenolate mofetil(MMF) and low dose (<=10 mg/d) corticosteroids. At the beginning of their treatment and at predetermined points during the study, patients except from clinical evaluation, were submitted to pulmonary function tests (Diffusing Capacity of the Lung for Carbon Monoxide (DLCO) and Forced Vital Capacity (FVC) and HighResolution Computed Tomography (HRCT)

Background: Interstitial Lung Disease (ILD) is the main cause of death in Systemic Sclerosis (SSc). Serious lung involvement increase the hospitalization rate and sometimes oxygen therapy is required. An prompt treatment in ILD-SSc patients is essential, but nowadays there is not a feasible method to identify patients with poor prognosis. Although chest Computed Tomography (CT) is the gold standard to detect ILD, there is no standardized assessment of its severity. Quantitative CT (QCT) is an innovative and operator independent method to assess ILD-SSc extent and severity. An increasing number of evidences confirm that QCT is extremely useful for detecting SSc-ILD with the worst prognosis. However is not well established if QCT can predict death or comorbidity associated to ILD. Objectives: The main aim of this study is to verify if QCT predict 8-years mortality or clinical worsening (i.e. hospitalization for respiratory complications or chronic oxygen therapy) in SSc. Methods: Consecutive SSc patients (according to ACR/EULAR classification criteria) from ten different centers underwent a chest CT. Their clinical history was carefully recorded in the following 96 months. A rheumatologist post-analyzed every CT with an open source DICOM viewer in order to obtain QCT indexes. Patients were clustered in two subgroups: according to QCT indexes’ cutoff previously found (see Ariani et al., 2017). The survival time of each patient was considered the time interval between the CT date and death, hospitalization related to lung worsening, beginning of chronic oxygen therapy or last medical examination Results: We enrolled 342 patients; during the 8-years follow-up 15.5% (53/342) died and 4,4% (15/342) had a clinical worsening. The Kaplan-Meier survival analysis demonstrates a worse survival in patients with QCT indexes above or below the previously observed cutoffs. (p<0.01). In particular the QCT index cutoff which the best performance was total lung kurtosis (tKurt) equal to 4.89 (p<0.0001). References: The QCT indexes’ cutoffs previously found (see Ariani, et al., 2017) identify the SSc-ILD subjects with an high risk of 8-years mortality and comorbidity. These findings suggest that QCT could became a pivotal assessment in SSc management because its role in identifying patients with poor prognosis and who deserve an early aggressive treatment. Disclosure of Interest: None declared

OBJECTIVES:To perform a population-based study in rheumatoid arthritis (RA) patients, in order to evaluate the efficacy and safety of pharmacologic treatments.METHODS:1087 patients with RA were enrolled; inclusion criteria were: newly diagnosed RA, already diagnosed RA with high disease activity (HDA) (DAS28≥4.2) starting biologic DMARDs (bDMARDs), already diagnosed RA with HDA continuing with conventional DMARDs (cDMARDs). The following data were collected: demographics, clinical and laboratory features, imaging and prescribed drugs. All parameters except immunology and imaging (performed yearly) were repeated at each follow-up evaluations (after 3, 6 and 12 months, and thereafter every 12 months). In order to evaluate clinical response, the EULAR response criteria were used as the gold standard.RESULTS:414 (38.1%) newly diagnosed patients with RA, 477 (43.9%) RA patients who started bDMARDs and 196 (18.0%) RA patients who continued with cDMARDs were enrolled from April 2012 to March 2015 at 12 Rheumatology Centres in the Emilia Romagna Region. Statistical analyses showed a relative risk ratio (RRR) for moderate response of 1.65 in RA patients who started bDMARDs (p=0.16) and 2.49 for newly diagnosed RA (p=0.01). Sex, age and Health Assessment Questionnaire were not statistically significant. A RRR of 2.00 has been confirmed for RA patients who started bDMARDs (p<0.0005) for a good response as well as 2.20 for newly diagnosed RA (p<0.0005). An increase in adverse events among bDMARDs was found, but when looking at infections or neoplasia, no differences were highlighted between RA which started bDMARDs and RA who continued with cDMARDs.CONCLUSIONS:Our results are in line with already published papers from British and Swedish Registries: a greater likelihood to have a good response is demonstrated for not longstanding RA starting cDMARDs or RA with HDA when a bDMARD is started. Also a good safety profile is demonstrated.

Background Quantitative Computed Tomography (QCT) is an innovative method to assess the severity of interstitial lung disease (ILD) related to systemic sclerosis (SSc). QCT is correlated to semi-quantitative radiological scores (SQs) and functional outcomes (e.g. FVC, DLco, oxygen desaturation after exercise) in SSc patients. However, the autoimmune profile can deeply influence the respiratory system9s involvement. Objectives The main aim of this study is to verify the correlation between SQs, FVC, DLco and QCT in SSc patients clustered according to their autoimmunity. Methods Three hundred three (303) SSc patients were enrolled and underwent functional and radiological assessment. Chest CTs of each patient were evaluated with both SQs and Horos (a software up to perform voxel-wise analysis) in order to obtain QCT indexes. Results Patients were divided in three groups (94 with ACA, 93 with antiScl70, 116 with other autoantibodies). QCT indexes taken into account were kurtosis (Kurt), skewness (Skew), Standard Deviation (SDev), Mean Lung Attenuation (MLA) and fibrosis ratio (FR). Except for the last one, all QCT indexes were assessed both in the parenchymal (pQCT) and in the whole lung (tQCT). The statistically significant (p<0,05) correlation coefficients between SQs, FVC and DLco vs QCT are listed in Table 1. In ACA patients there are not correlations between DLco and QCT indexes. Conclusions Our results confirm that the majority of QCT indexes are correlated to SQS and functional outcomes. The strongest correlation coefficients were in the antiScl70 subgroup while the weakest ones were in ACA patients. This relevant difference, possibly due to the different prevalence of ILD and type of lung involvement in these two subgroups, should be taken into account when applying the QCT assessment to SSc patients. Disclosure of Interest None declared

Background Quantitative analysis of chest CT (QCT) is increasingly applied to characterization of Interstitial Lung Disease (ILD) associated to Systemic Sclerosis (SSc). However, there is no prognostic evidence for QCT in predicting lung detrimental evolution or death. Many Authors proposed composite clinical indexes to predict 1-year mortality. Recently the ILD-GAP index and du Bois index were proven to stratify ILD-SSc patients in outcome-related subgroups. Objectives The main aim of this study was to compare QCT assessment of SSc-ILD and composite clinical indexes in the selection of patients with high risk of mortality. Methods Chest CT, anamnestic data and pulmonary function test of 146 patients with SSc were retrospectively collected and ILD-GAP and DuBois score were calculated. Each chest CT underwent a quantitative assessment. Correlation between clinical prediction models and QCT parameters was tested. p<0,05 was considered statistically significant. Results All QCT parameters had a statistically different distribution in patients with diverging mortality risk according to both clinical prediction models. The cut-off of QCT parameters were calculated by ROC curve analysis, with statistically significant value as compared to clinical prediction models (AUC >0.7, p<0.0001). Conclusions QCT assessment of SSc-ILD can distinguish between different mortality risk categories, therefore it yields prognostic value. These findings, together with the operator-independence, strengthen the accuracy of QCT for assessment of SSc-ILD. Disclosure of Interest None declared

Background Interstitial Lung Disease (ILD) is the leading cause of morbidity and mortality in Systemic Sclerosis (SSc). Forced Vital Capacity (FVC) and chest Computed Tomography (CT) are the main exams to assess ILD severity. In particular, FVC <70% is associated with a high risk of death. A visual score (VS), based on extension of fibrosis detectable at chest CT>20%, has an unfavourable prognostic value [Goh et al., 2008]. Preliminary evidence supports the usefulness of an automated quantitative CT (QCT) assessment performed with a medical software, OsiriX, in identifying patients with more severe SSc-ILD [Ariani et al. 2014] Objectives The aim of this work is to investigate whether QCT can predict ILD-SSc radiological and functional worsening over time. Methods One hundred forty-nine patients with SSc according to EULAR/ACR criteria underwent chest CTs and pulmonary functional tests at baseline (t0) and after 1 year (t1). A VS was evaluated for each chest CT; the quantitative assessment, in order to obtain QCT indexes (QCTI), was performed only in chest CT done in t0. Patients were clustered in 3 groups: 1) VS <20% both at t0 and t1; 2) radiological worsening (defined as the increase of the visual score, between t0 and t1, from <20% to >20% values); 3)VS>20% both at t0 and t1. A similar subdivision in other three groups was performed on the basis of FVC values (with 70% as cutoff).The Kolmogorov-Smirnov test was used to investigate QCTI distribution in the above mentioned groups. A p-value <0.05 was considered significant. Results In group 1 (clustered according to VS variation) QCTI were different from the ones of the other two groups (p<0.001). Group 2 and 3 QCTI were not statistically different. Similar results were observed when patients were clustered according to FVC values: group1 was different from group 2 and 3 (p<0.05) but the last ones were not statistically different. Figure A shows kurtosis (one of the QCTI) distribution in the groups. Conclusions In spite of the limitations of this study (short follow up compared with the slow ILD-SSc progression) our results support the predictivity of a QCTI in terms of future radiological and functional ILD worsening. Given its reliability and easy access, quantitative CT assessment of ILD is a promising candidate in the assessment and prognostic stratification of SSc-ILD, even in clinical practice. Disclosure of Interest None declared

Background Currently, interstitial lung disease (ILD) related to systemic sclerosis (SSc) is assessed with pulmonary function tests (PFTs) and chest Computed Tomography (CT). FVC <70% and DLco <70% were proposed as parameters to define remarkable ILD [1]. Recently, quantitative assessment of ILD extention on chest CT was suggested as reliable parameter for disease assessment [2]. Quantitative score is based on voxel-wise analysis of lung density, summarized in the following quantiatative CT (QCT) parameters: kurtosis (Kurt), skewness (Skew), mean lung attenuation (MLA), standard deviation (Sdev) and fibrosis ratio (FR). Objectives To test the correlation between QCT parameter and PFTs and report the most accurate QCT for ILD assessment. Furthermore, to descibe QCT parameters in patients with FVC and DLco above or below the suggested threshold. Methods 226 SSc patients fullfilling ACR/EULAR diagnosis criteria undewent chest CT and PFTs in six different hospitals. All CTs were processed with an open-source DICOM-viewer (OsiriX) [3] that provided FR and the other QCT parameters (i.e. Kurt, Skew, MLA, Sdev) both related to normal lung parenchyma (nQCT) and to total lung (tQCT). Spearman rank test was used to verify the correlations between QCT parameters and PFTs data. The Mann-Whitney test was used to assess differences between patients with FVC and DLco above or below the suggested threshold. QCT parameters discriminative performances were verified using ROC analysis. A p-value <0.05 was considered significant. Results Among QCT parameters, nKurt showed the best correlation with FVC (r =0,535; p<0,0001) and DLco (r =0,394; p<0,0001). Notably, nKurt was significantly lower in patients with FVC and DLco <70% (p<0.00001). ROC analysis showed that nKurt =1,69 can discriminate very well patients with FVC <70% (sensibility 67,0%, specificity 81,0%). Similarly nKurt =5,25 distiguishes subjects with DLco <70% (sensibility 80,8%, specificity 53,6%). Conclusions QCT parameters correlate with PFTs as reported in literature. In particular, nKurt showed the strongest correlation with FVC and DLco. Furthermore, the proposed thresholds of nKurt could be very useful in clinical practice allowing furhter characterization of ILD associated with SSc. References Khanna D, et al. Arthritis Rheum 2005;52(2):592–600. Ariani A, et al. Rheumatol Int 2013. Rosset A, et al. J Digit Imaging 2004;17(3):205–216. Disclosure of Interest None declared DOI 10.1136/annrheumdis-2014-eular.3048