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BackgroundInterstitial lung disease (ILD) and pulmonary arterial hypertension (PAH) account for 60% of deaths related to scleroderma (SSc). The erythrocyte distribution width (RDW) has been used as a marker of poor prognosis in different pathologies. In SSc, RDW has been found to be elevated in PAH and has been proposed as a predictor of cardiorespiratory compromise.ObjectivesThe aim of this study is to evaluate the association between increased RDW and the presence of EPI in patients with SSc.MethodsThis is a multicenter, retrospective, cross-sectional study of patients diagnosed with SSc (ACR/EULAR 2013) from January 2011 to August 2021. Other concomitant autoimmune diseases, malignancy, active infections, iron-deficiency or pernicious anaemia and transfused patients were excluded. The diagnosis of PID was made by high-resolution computed tomography (HR-CT) and the extension evaluated by Goh criteria. A review of medical records was conducted, collecting clinical and demographic characteristics, interstitial pattern by HR-CT, assessed, acute phase reactants, capillaroscopy, functional respiratory tests (PFT) and echocardiographic resolution. Patients diagnosed with PAH by right heart catheterization were not excluded in this study but recorded.ResultsSeventy-five patients were included, with a mean age of 59.4 (SD 14.1 CI95% 56-6), from which 67 (89%) were women. A median of 8 years of disease evolution was observed RIC 8). Limited SS was observed in 50 (66%) and diffuse SS in 24 (32%). EPI was observed in 50 (66%) of which NSIP 25 (33%), NSIP-f 15 (20%) and UIP 10 (13%). The extension of the disease was limited in 25 (33%) and extensive in 19 (25%). Capillaroscopic findings were normal in 2 (3.4%), nonspecific in 1 (1.7%), early SD in 9 (15.3%), active SD in 22 (37.3%), and late SD in 25 (42.4%); in sixteen patients there was no capillaroscopy.We observed an increase in RDW in the EPI group with a statistically significant difference OR 6.06 CI95% 2-17 (p 0.001).The median RDW is higher in patients with ILD and PAH than in healthy people (pWe found a low negative correlation between RDW / FVC r (63) -.25 p 0.042 and RDW / FEV1 r (63) .30 p 0.015.ConclusionIn the present study we have been able to evidence that there is a statistically significant relationship between the percentage of RDW and the presence of PID. When analysing the association between patients without pulmonary compromise, ILD and PAH and the percentage of RDW, we were able to find a statistically significant difference between the three groups. It is necessary to continue with studies with a larger number of patients to grant robustness to the results.References[1]Muangchan, et al: 15% rule in SSc. The Journal of Rheumatology 2013; 40; 9; doi:10.3899/jrheum.121380.[2]Cottin and Brown. Interstitial lung disease associated with systemic sclerosis (Ssc-ILD) Respiratory Research (2019) 20:13[3]Thayer, T. E. et al. Unbiased Phenome-wide Association Studies of Red Cell Distribution Width Identifies Key Associations with Pulmonary Hypertension. Annals of the American Thoracic Society. doi:10.1513/annalsats.201809-594oc.[4]Zhao J,Mo H, Guo X,Wang Q, Xu D, Hou Y, Tian Z, Liu Y,Wang H, Lai J, Li M, ZengX (2018) Red blood cell distribution width as a related factor of pulmonary arterial hypertension in patients with systemic sclerosis. Clin Rheumatol 37:979–985.[5]Goh NSL, Desai SR, Veeraraghavan S, et al. Interstitial Lung Disease in Systemic Sclerosis: A Simple Staging System. American Journal of Respiratory and Critical Care Medicine. 2008. June;177(11):1248–54.[6]Hax V, Bredemeier M, Didonet Moro AL, et al. Clinical algorithms for the diagnosis and prognosis of interstitial lung disease in systemic sclerosis. Seminars in Arthritis and Rheumatism. 2017. October;47(2):228–34.[7]Peralta S. Guías Argentinas De Consenso En Diagnóstico Y Tratamiento De La Hipertensión Pulmonar. Sociedad Argentina de Cardiología. Área de Consensos y Normas. Vol 85 Suplemento 3. Octubre 2017.AcknowledgementsParticipating centersDisclosure of InterestsNone declared

BackgroundThe goal of targeted treatment in patients with Systemic Lupus Erythematosus (SLE) is to achieve clinical remission or low disease activity, with the best quality of life, low damage rates and better survival 1-4. RELESSAR is a multicenter, cross-sectional study registry of ≥18 years SLE (ACR 97) patients 5.ObjectivesTo describe demographic, clinical characteristics and treatments in SLE patients according to disease activity state. To evaluate the proportion of SLE and refractory SLE patients that are potentially candidates for Belimumab treatment (Active SLE despite standard treatment including increased acDNA autoantibodies and low complement).MethodsWe evaluated demographic and clinical data, treatments, score of damage (SLICC), activity (SLEDAI) and comorbidity (Charlson), hospital admissions and severe infections. The patients were compared according to disease activity: remission (SLEDAI = 0 and without corticosteroids), low disease activity (LDA, SLEDAI> 0 and ≤4 and without corticosteroids) and non-optimal control (SLEDAI> 4 and any dose of corticosteroids). Refractory SLE was defined according to Rituximab (RTX) use, non-response to cyclophosphamide or two or more immunosuppressant or splenectomized patients. Potential use of Belimumab according approved prescription in Argentina was analyzed.ResultsOverall, 1277 patients were analyzed: 299 (23.4%) were in remission, 162 (12.7%) in LDA and 816 (63.9%) with non-optimal control of the disease.Patients in non-optimal control group were younger, less frequently female and they showed less time of disease and lower socioeconomic status (p < 0.001). They were also more prevalent mestizos (p= 0.004), had higher SLEDAI and SLICC indexes (p Two hundred and one SLE patients fulfilled the use of Belimumab prescription criteria but only 45/201 patients (22,3%) received it in the last visit. Malar rash was the only clinical variable associated with the use of Belimumab (72.7% vs 29.8% p= 0.005).Seventy-six patients classified as refractory SLE (15.7%) and 56/76 (75.7%) never received Belimumab. Patients on Belimumab therapy were associated to treatment with lower doses of corticoids (p= 0.018) and lower rate of hospital admission caused by SLE flare (p= 0.027).ConclusionA high percentage of patients had uncontrolled disease upon entry into the registry and were potential candidates for treatment with Belimumab. The patients who received biologic treatment showed the benefit of requiring fewer doses of corticosteroids and having a lower rate of hospitalizations.References[1]Mok CC. Treat-to-target in systemic lupus erythematosus: Are we there yet? Expert Rev Clin Pharmacol. 2016;9(5).[2]Morand EF, Mosca M. Treat to target, remission and low disease activity in SLE. Vol. 31, Best Practice and Research: Clinical Rheumatology. 2017.[3]Golder V, Tsang-A-Sjoe MWP. Treatment targets in SLE: Remission and low disease activity state. Rheumatol (United Kingdom). 2020;59.[4]Ruiz-Irastorza G, Bertsias G. Treating systemic lupus erythematosus in the 21st century: new drugs and new perspectives on old drugs. Vol. 59, Rheumatology (United Kingdom). 2021.[5]Hochberg MC. Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. Arthritis Rheum [Internet]. 1997;40(9):1725. Available from: http://www.ncbi.nlm.nih.gov/pubmed/9324032Disclosure of InterestsRosana Quintana: None declared, Lucila Garcia: None declared, Paula Alba: None declared, Susana Roverano: None declared, Analia Alvarez: None declared, Cesar Graf: None declared, Cecilia Pisoni: None declared, Alberto Spindler: None declared, Catalina Gomez: None declared, Heber Matias Figueredo: None declared, Silvia Papasidero: None declared, Raul Horacio Paniego: None declared, Maria DeLaVega: None declared, Emma Estela Civit De Garignani: None declared, Luciana Gonzalez Lucero: None declared, Victoria Martire: None declared, Rodrigo Águila Maldonado: None declared, Sergio Gordon: None declared, Carla Gobbi: None declared, Romina Nieto: None declared, Gretel Rausch: None declared, Vanina Góngora: None declared, Maria Agustina D´Amico: None declared, Diana Dubinsky: None declared, Alberto Omar Orden: None declared, Johana Zacariaz: None declared, Julia Romero: None declared, Mariana Alejandra Pera: None declared, Oscar Rillo: None declared, Roberto Baez: None declared, Valeria Arturi: None declared, Andrea Gonzalez: None declared, Florencia Vivero: None declared, Marcela Schmid: None declared, Victor Caputo: None declared, Maria Silvia Larroude: None declared, Graciela Gomez: None declared, Graciela Rodriguez: None declared, Josefina Marin: None declared, Maria Victoria Collado: None declared, Marisa Jorfen: None declared, Zaida Bedran: None declared, Judith Sarano: None declared, David Zelaya: None declared, MONICA SACNUN: None declared, Pablo Finucci: None declared, Romina Rojas Tessel: None declared, Maria Emilia Sattler: None declared, MAXIMILIANO MACHADO ESCOBAR: None declared, Pablo Astesana: None declared, Ursula Vanesa Paris: None declared, Alberto Allievi: None declared, Juan Manuel Vandale: None declared, Bernardo Pons-Estel: None declared, Guillermo Pons-Estel: None declared, Mercedes García Grant/research support from: GSK grant

BackgroundInterstitial Lung Disease (ILD) is a frequent complication in patients with autoimmune diseases. Rheumatoid arthritis (RA) does not escape this statement. Different protocols have been proposed for the ultrasound evaluation of this affectation showing very good correlation with high-resolution computed tomography.ObjectivesTo determine the sensitivity and specificity of an ultrasound evaluation protocol as a screening method for interstitial lung disease in rheumatoid arthritis.MethodsConsecutive patients diagnosed with RA, with and without ILD, will be included. High-resolution chest CT (HRCT) will be performed in all patients. The lung evaluation protocol by ultrasonography (US); evaluates 50 intercostal spaces (ICS) and will be performed by a rheumatologist and imaging specialist trained in the procedure. The presence of B lines and pleural alterations in the EICs explored will be evaluated. A semiquantitative scale will be used to assess each EIC: 0 = normal, ( 50 B lines). CT scan was considered the “gold standard” for the diagnosis of ILD and they were evaluated by experienced pulmonologists who were blind to the patient.Results79 patients were included. Female sex 77% with a mean age of 55 (SD 11.4). The comorbidities observed were: hypertension 27%, dyslipidemia 15%, diabetes mellitus 10%, hypothyroidism 30%, smokers 14%, former smokers 18% and osteoporosis in 14% of patients. The patients had a median duration of the disease in years of 7.5 [IQR 9.2]. Erosive disease was seen in 20 (20%) and rheumatoid nodules in 9.1% of patients. 91% of the patients were under treatment with corticosteroids. Rheumatoid factor was observed in 87% of the patients and Anti-CCP in 71% of the patients, of which 70% had high titers. DILD was observed by HRCT in 21 (27%) patients. The tomographic patterns observed were UIP 7 (33%), probable UIP 2 (10%), cellular NSIP 6 (29%), fibrosing NSIP 3 (14%). An indeterminate pattern was observed in 3 patients. The extent of pulmonary involvement was extensive in 48% of patients and limited in 52%. A sensitivity of 63% (CI95% 44-78) and a specificity of 92% (CI95% 81-97) were observed for the ultrasound evaluation protocol with a PPV of 81% (CI95% 61-92) and NPV of 83 % (95% CI 71-90) and an LR+ 8.1 (95% CI 4.6-14.3) and LR- 0.4 (95% CI 0.3-0.48). AUC: 0.81 (pConclusionWe observed a moderate sensitivity and specificity of the method to assess interstitial lung involvement in RA with an acceptable AUC for a screening method. These findings are similar to what was found in other cohorts. We observe a high NPV. This means that in patients with a negative study result, the possibility of ILD would be removed. Studies in larger cohorts and comparison with other factors associated with ILD are necessary to improve our understanding of the method and give it the place it deserves.References[1]Spagnolo P. et al. The Lung in Rheumatoid Arthritis ARTHRITIS & RHEUMATOLOGY Vol. 70, No. 10, 2018, pp 1544–1554[2]Barskova T. et al. Lung ultrasound for the screening of interstitial lung disease in very early systemic sclerosis. Ann Rheum Dis 2013;72:390–395.[3]GUTIERREZ M, SALAFFI F, CAROTTI M et al.: Utility of a simplified ultrasound assessment to assess interstitial pulmonary fibrosis in connective tissue disorders – preliminary results. Arthritis Res Ther 2011; 13: R134.[4]Cazenave T. et al. EVALUACIÓN DE PARÉNQUIMA PULMONAR Y LINEA PLEURAL POR ULTRASONOGRAFÍA: GRADO DE ACUERDO ENTRE OBSERVADORES ARGENTINOS. 53° Congreso de Reumatología.Salta. 2020.Disclosure of InterestsNone declared

Background:SARS-CoV-2 infection can present with a broad clinical spectrum, from asymptomatic to lethal. Different risk factors have been recognized. Socio-economic status and educational level may affect access to the healthcare system and therefore COVID-19 infection outcome.Objectives:The aim of this study was to assess the association between socio-demographic status and educational level and SARS-CoV-2 outcomes, such as hospitalization, ICU admission, need for mechanical ventilation and death, in Argentinean patients with rheumatic diseases from the SAR-COVID Registry.Methods:We performed a cross-sectional study of consecutive adult patients with rheumatic diseases and SARS-CoV-2 infection included in the multicentric Argentinean SAR-COVID Registry. The following variables were included: gender, ethnicity, age, health insurance, educational level (under or over 12 years of education), socio-economic level according to Graffar Scale in high, medium-high, medium, medium-low, low; underlying rheumatic disease, its duration and treatment at the time of infection.SARS-CoV-2 infection outcomes were: hospitalization, admission to ICU, mechanical ventilation requirement and death.Statistical analysis was performed using Chi2, Fisher, T-test, ANOVA.Results:Five hundred and twenty-five patients were included, 422 (80.4%) were female, with a mean age of 51.3 years (SD 15.2). Most of them were caucasians (48%) or mestizos (43%) and 96.8% lived in an urban environment. Almost half of the patients (47%) were categorized as middle-class, 24% middle-high or high class, 21% middle-low or low. 48.4% of the patients were employed. Regarding educational level, 54% had more than 12 years of education.The most prevalent rheumatic disease was Rheumatoid Arthritis (40.4%), followed by Systemic Lupus Erythematosus (14.9%), Sjögren (5.5%) and Psoriatic Arthritis (5.5%). Treatments used at the time of SARS-CoV-2 infection were corticosteroids (19%), cs-DMARDs (49%), and b- and ts-DMARDs (16%).Overall hospitalization frequency was 35%, median hospital stay was 10 days (IQR 10 days), 11.6% were admitted to the ICU, 10% required mechanical ventilation and the global mortality was 8%.Notably, patients with less than 12 years of education required mechanical ventilation more frequently than the more educated ones (11.9% vs. 5.6%, p=0.026) and showed a higher mortality due to COVID-19 (9% vs. 2.8%, p=0.0004).Patients categorized as upper social classes (middle-high and high) were admitted to the hospital on a more frequent basis (74.4% of cases), when compared with middle class (64.4%) and middle-low and low class (58%) (p=0.77). Median duration of hospitalization for the aforementioned groups was 12.5 (IQR 17.3), 10 (IQR 9) and 10.5 (IQR 9.3) days respectively (p=0.60).Patients with health insurance were found to be hospitalized more frequently in comparison to those without insurance (42.4% vs. 33.7%, p=0.14), but showed similar admission rates to the ICU (11.8% vs. 12.8%; p=0.78), need for mechanical ventilation (10.7% vs. 8.7%; p=0.70) and mortality (7.1% vs. 6.5%; p=0.99).Caucasian patients had fewer hospital admissions when compared against other ethnicities (mestizos mostly) (26.1% vs. 43.4%; pConclusion:Patients with lower educational level needed twice the frequency of mechanical ventilation, and showed thrice the mortality than those with more than 12 years of education.Albeit patients in upper social stratus and those with health insurance were admitted to the hospital in a more frequent manner, no statistically significant differences were found regarding the need for ICU, mechanical ventilation or mortality.Caucasians were hospitalized less frequently than mestizos, but had no significant differences in the other measured outcomes.Disclosure of Interests:Laura Sorrentino Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Jonathan Rebak Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Federico Maldonado Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Vanessa Viviana Castro Coello Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Alejandro Brigante Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Adriana Hamaui Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Diana Dubinsky Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Roberto Baez Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Cecilia Pisoni Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carla Gobbi Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Leandro Carlevaris Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Romina Tanten Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Adriana Karina Cogo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria DeLaVega Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Rodolfo Perez Alamino Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria Alicia Lazaro Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Mariana Pera Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Susana Isabel Pineda Vidal Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Maria Elena Calvo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Debora Guaglianone Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carla G Alonso Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Mara Guinsburg Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Cinthya Retamozo Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carolina Aeschlimann Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Rosana Quintana Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Karen Roberts Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Carolina Ayelen Isnardi Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data., Guillermo Pons Estel Grant/research support from: Unrestricted grants: Pfizer, Abbvie, Elea Phoenix. None of them have access to patient data.