POS0914 LATE SKIN FIBROSIS IN SYSTEMIC SCLEROSIS: A STUDY FROM THE EUSTAR COHORT

Background

Skin fibrosis is a cardinal feature of systemic sclerosis (SSc) and associated with significant disability. The early trajectory of skin fibrosis provides insights into the course of the disease including mortality; however, little is known about late skin fibrosis in SSc.

Objectives

The aims of our study were to ascertain the prevalence and characteristics of late skin fibrosis in SSc.

Methods

We developed and tested three conceptual scenarios of late (>5 years after 1st non-RP sign or symptom) skin fibrosis (Figure 1):

Figure 1.

Conceptual models/scenarios of late skin fibrosis in SSc. A: worsening and then improvement (>3 mRSS) during the first 5 years, and then worsened again after 5 years. B: worsening for the first time after 5 years. C: worsening in the first 5 years and stayed high after 5 years (i.e., failure to improve).

A. Worsening and then improvement (>3 mRSS) during the first 5 years, and then worsened again after 5 years.

B. Worsening for the first time after 5 years.

C. Worsening in the first 5 years and stayed high after 5 years (i.e., failure to improve).

We defined skin worsening as modified Rodnan skin score (mRSS) ≥ 5 units or ≥ 25%. Using strict inclusion criteria including complete mRSS, we identified 1,043 (out of 19,115) patients within the EUSTAR database for our analysis. We further restricted analysis within 887 (out of 1,043) patients who had limited (lcSSc) or diffuse cutaneous SSc (dcSSc) at baseline.

Results

One-fifth of patients among the whole cohort (n=208/1043, 19.9%) including in patients with lcSSc or dcSSc at baseline (n=193/887, 21.8%) developed late skin fibrosis. This was largely due to new skin worsening or failure to improve. Patients with lower baseline mRSS and lcSSc were more likely to develop late skin fibrosis. Anti-Scl-70 antibodies (Table 1) were associated with progression from baseline lcSSc to dcSSc, and anticentromere antibodies were protective.

Table 1.

Impact of autoantibody status on progression from baseline limited to diffuse cutaneous SSc (dcSSc).

Skin worsening after 5 years (Scenario B) (n=70)Skin worsening within 5 years and failed to improve after 5-year window (Scenario C) (n=61)Progressed to dcSSc (n=23)Not progressed to dcSSc(n=47)P-valueProgressed to dcSSc (n=37)Not progressed to dcSSc(n=24)P-valueAnticentromere+ve2/22 (9.1%)19/42 (45.2%)0.00346/34 (17.6%)14/21 (66.7%)0.0002-ve20/22 (90.9%)23/42 (54.8%)28/34 (82.4%)7/21 (33.3%)Anti-Scl-70+ve15/23 (65.2%)14/44 (31.8%)0.008822/36 (61.1%)8/23 (34.8%)0.0485-ve8/23 (34.8%)30/44 (68.2%)14/36 (38.9%)15/23 (65.2%)Anti-RNA-Polymerase-III+ve0/12 (0.0%)1/22 (4.5%)1.00000/6 (0.0%)0/14 (0.0%)---ve12/12 (100%)21/22 (95.5%)6/6 (100%)14/14 (100%)

Conclusion

Late skin fibrosis affects approximately 20% of SSc patients >5 years after onset of disease. We have identified different patterns relevant to clinical practice and trial design. Late skin fibrosis is usually due to new worsening or failure of skin to improve. Progression from baseline limited to diffuse cutaneous SSc was associated with anti-Scl-70 antibodies, and anticentromere antibodies were protective. Late skin fibrosis is a neglected manifestation of SSc and warrants further investigation including to determine clinical outcomes and optimal therapeutic strategy.

Acknowledgements

On behalf of EUSTAR collaborators.

Disclosure of Interests

Michael Hughes Speakers bureau: Speaking fees from Actelion pharmaceuticals, Eli Lilly, and Pfizer, outside of the submitted work, Suiyuan Huang: None declared, Juan Jose Alegre Sancho Speakers bureau: Speaking and/or investigational fees from Actelion pharmaceuticals, Eli Lilly, Pfizer, Boehringer Ingelheim, Roche, and GSK, outside of the submitted work, Grant/research support from: Speaking and/or investigational fees from Actelion pharmaceuticals, Eli Lilly, Pfizer, Boehringer Ingelheim, Roche, and GSK, outside of the submitted work, Patricia Carreira: None declared, Merete Engelhart: None declared, Eric Hachulla Speakers bureau: Received consulting fees/meeting fees from Johnson & Johnson, Boehringer Ingelheim, Bayer, GSK, Roche-Chugai, Sanofi-Genzyme; speaking fees from Johnson & Johnson, GSK, Roche-Chugai; and research funding from CSL Behring, GSK, Roche-Chugai and Johnson & Johnson., Consultant of: Received consulting fees/meeting fees from Johnson & Johnson, Boehringer Ingelheim, Bayer, GSK, Roche-Chugai, Sanofi-Genzyme; speaking fees from Johnson & Johnson, GSK, Roche-Chugai; and research funding from CSL Behring, GSK, Roche-Chugai and Johnson & Johnson., Jörg Henes Speakers bureau: Lectures for CHUGAI, Boehringer-Ingelheim, Eduardo Kerzberg: None declared, Maria Rosa Pozzi: None declared, Gabriela Riemekasten: None declared, Vanessa Smith: None declared, Gabriella Szucs: None declared, Marie Vanthuyne: None declared, Elisabetta Zanatta: None declared, Oliver Distler: None declared, Armando Gabrielli: None declared, Anna-Maria Hoffmann-Vold: None declared, Viginia Steen: None declared, Dinesh Khanna Shareholder of: DK has stock options in Eicos Sciences, Inc., Consultant of: Consultant for Acceleron, Amgen, Boehringer Ingelheim, CSL Behring, Chemomab, Genentech/Roche, Horizon, Mitsubishi Tanabe Pharma, Prometheus, Talaris., Grant/research support from: Has received grants from Bayer, BMS, Horizon and Pfizer (to University of Michigan).

POS0383 CLINICAL CHARACTERISTICS AND PROGNOSIS OF PATIENTS WITH SYSTEMIC SCLEROSIS SINE SCLERODERMA: DATA FROM THE INTERNATIONAL EUSTAR DATABASE

Background

LeRoy’s classification defines two main subsets of Systemic Sclerosis (SSc) based on the extent of skin fibrosis: limited cutaneous SSc (lcSSc) with skin thickening sparing the trunk and distal to the elbow and knees, and diffuse cutaneous SSc (dcSSc) with proximal and distal skin thickening. These two subsets notably differ in terms of survival and frequency of visceral involvement, dcSSc being less prevalent but having a higher mortality rate with more frequent visceral manifestations. SSc sine scleroderma (ssSSc) is a third subset initially described by Rodnan et al. and characterized by the absence of skin fibrosis but with the existence of SSc-associated visceral manifestations.

Objectives

This study aimed to characterise the main clinical features of patients with ssSSc in comparison with the lcSSc and dcSSc subsets within the international EUSTAR database.

Methods

All patients from the EUSTAR database fulfilling the ACR2013 or 1980 classification criteria for SSc assessed by the modified Rodnan Skin score (mRSS) at inclusion and with at least one follow-up visit were eligible. Sine scleroderma (ssSSc) was defined by the absence of skin thickening (mRSS=0 and no sclerodactyly) at all available visits. The clinical characteristics of these ssSSc patients were compared to those of patients with lcSSc and dcSSc with similar disease duration at last follow-up visit. Descriptive statistics were applied.

Results

Among the 4263 patients fulfilling the inclusion criteria, 376 (8.8%) were classified as ssSSc. Among them, 40.3% had puffy fingers, 39.4% had interstitial lung disease (ILD), 1.6% had a history of scleroderma renal crisis at inclusion visit. At last available visit, in comparison with 708 lcSSc and 708 dcSSc with the same disease duration, ssSSc patients had a lower prevalence of previous or current digital ulcers (28.2% versus 53.1% in lcSSc (P<0.001) and 68.3% in dcSSc (P<0.001)), of joint synovitis (16.9% versus 24.3% in lcSSc (P<0.01) and 30.8% in dcSSc (P<0.0001)), and of elevated sPAP on echocardiogram (15.2% versus 23.9% in lcSSc (P<0.01) and 28.7% in dcSSc (P<0.0001)). Despite similar disease duration, disease activity at follow up visit (assessed by the EScSG disease activity index 2001 and 2016) was lower in ssSSc in comparison with lcSSc and dcSSc. By contrast, the prevalence of ILD was almost similar in ssSSc and lcSSc (49.8% and 57.1% (P=0.03)) but significantly higher in dcSSc (75.0%, P<0.0001). Based on forced vital capacity, ILD was less severe in ssSSc in comparison with the other subsets (mean FVC 100% (SD=22)(%pred) versus 93% (SD=21) in lcSSc and 82% (SD=23) in dcSSc (P<0.0001 for both)). Anti-centromere antibodies were most represented in ssSSc (61.7% versus 41.9% in lcSSc (P<0.0001) and 16.3% in dcSSc (P<0.0001), whereas the opposite distribution was observed for anti-Scl70 antibodies. Survival was significantly higher in ssSSc patients compared to lcSSc (P<0.05) and dcSSc (P<0.0001).

Conclusion

This study highlights that ssSSc patients account for almost 10% of SSc patients with milder disease severity compared to both lcSSc and dcSSc.

Acknowledgements

The authors thank all EUSTAR collaborators

Disclosure of Interests

Alain LESCOAT: None declared, Suiyuan Huang: None declared, Patricia Carreira: None declared, Elise Siegert: None declared, Jeska de Vries-Bouwstra: None declared, Jörg H.W. Distler: None declared, Vanessa Smith: None declared, Francesco Del Galdo: None declared, Branimir Anic: None declared, Nemanja Damjanov: None declared, Simona Rednic: None declared, Camillo Ribi: None declared, DOMNIQUE FARGE: None declared, Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Consultant of: Actelion, ARXX, Bayer, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Grant/research support from: Boehringer Ingelheim, Armando Gabrielli: None declared, Oliver Distler: None declared, Dinesh Khanna: None declared, Yannick Allanore: None declared

POS0387 RISK STRATIFICATION APPROACHES PERFORM DIFFERENTLY IN SSc-ASSOCIATED PAH IN EUSTAR

Background

Pulmonary arterial hypertension (PAH) is a major clinical challenge in systemic sclerosis (SSc), and is associated with high mortality. Risk stratification provides an estimate for individual patient risk of 1-year mortality. The aim is to detect patients with the worst prognosis to optimize management strategies. Nine risk stratification approaches have been proposed in PAH, but have not been validated in SSc-PAH.

Objectives

To assess four risk stratification models and their performance to predict 1- and 3- year mortality and to identify the best risk assessment approach for SSc-PAH.

Methods

We included all patients with SSc diagnosed with PAH by right heart catheterization (RHC) from the European scleroderma trial and research (EUSTAR) database from 2001 to February 2021. PAH was defined as mean pulmonary arterial pressure (mPAP) ≥25 mmHg, pulmonary artery wedge pressure (PAWP) ≤15mmHg, and pulmonary vascular resistance (PVR) >3 Wood units (WU) in the absence of significant interstitial lung disease. We applied four different approaches for risk stratification at time of PAH diagnosis. Risk parameters included New York Heart Association (NYHA) class, 6-minute walk distance (6MWD), NT-proBNP or BNP, and echocardiographic and hemodynamic parameters with cut-off values based on the 2015 ESC/ERS Guidelines. Model 1 and 2 stratified patients into low, intermediate and high-risk categories; while Model 3 and 4 stratified the patients into four categories (low, intermediate-low, intermediate-high and high).

Model 1: Patients with ≥ 1 high-risk parameter were considered at high risk; with ≥ 1 intermediate-risk parameter at intermediate risk, otherwise at low risk1

Model 2: Each variable was graded from 1 to 3 representing low to high risk. The mean of available risk parameters was rounded to the nearest integer to define the risk category2

Model 3: Equals Model 2, but the intermediate risk group was divided into intermediate-low and intermediate-high based on the mean score3

Model 4: Stratifies patients into four risk categories based on the proportion of low-risk parameters3

We performed analysis of 1- and 3- year mortality in patients with a minimum follow-up of 1 and 3 years, respectively.

Results

Of 911 patients who conducted RHC, 273 (30%) were diagnosed with SSc-PAH according to the inclusion criteria (Table 1). Median follow-up time was 2.8 years (IQR 1.3-5.3). The models varied in their ability to predict mortality (Figure 1). Model 1 and 4 either over- or underestimated mortality. Model 2 stratified patients according to the expected 1-year mortality of <5%, 5-10% and >10% suggested by the ESC/ERS Guidelines. Model 3, which divided the intermediate risk group in two different risk groups, segregated the risk of mortality further within this group.

Table 1.

Demographic and clinical characteristics of patients segregated by risk stratification (Model 3)

NAll patients (n=273)Low-risk (n=78)Intermediate-low (n=118)Intermediate-high (n=56)High-risk (n=21)Age, years (SD)27365 (10.7)65 (10.3)65 (10.7)65 (10.8)67 (12.8)Female sex, n (%)273230 (84)64 (82)98 (83)48 (86)20 (95)lcSSc, n (%)263221 (84)60 (80)99 (86)47 (90)15 (71)NYHA 3 or 4, n (%)261155 (59)12 (16)75 (68)49 (89)19 (95)NT-proBNP, pg/ml (IQR)1111941 (230-1485)215 (103-377)763 (325-1418)1926 (1051-5681)3314 (1129-6553)6MWD, m (SD)196321 (124.1)404 (119.7)314 (99.9)262 (128.6)215 (96.0)RHC:- mPAP, mmHg (SD)27340 (11.0)35 (8.8)41 (11.5)41 (10.8)45 (11.6)- PAWP, mmHg (SD)2739 (3.2)9 (3.0)9 (3.4)9 (3.2)8 (3.1)- Cardiac index, l/min/m2(SD)2602.8 (0.8)3.2 (0.7)2.7 (0.8)2.6 (1.0)2.0 (0.5)- PVR, WU (SD)2737.4 (4.1)5.3 (2.8)7.9 (4.0)7.9 (4.2)11.3 (4.7)Figure 1.

1- and 3-year mortality according to risk category in the four different models

Conclusion

Model 3 provides signals for a better risk stratification of patients with newly diagnosed SSc-PAH, with progressively increasing mortality across the categories. This may provide guidance for optimized management in clinical practice.

References

[1]Hoffmann-Vold, Rheum 2018

[2]Kylhammar, Eur Heart J 2018

[3]Kylhammar, ERJ open 2021

Acknowledgements

The authors thank all EUSTAR collaborators.

Disclosure of Interests

Hilde Jenssen Bjørkekjær: None declared, Cosimo Bruni Speakers bureau: Actelion, Consultant of: Boehringer-Ingelheim, Patricia Carreira: None declared, Paolo Airò Speakers bureau: Boehringer Ingelheim, Bristol-Myers-Squibb, Consultant of: Bristol-Myers-Squibb, Grant/research support from: Bristol-Myers-Squibb, Roche, Janssen, CSL Behring, Carmen Pilar Simeón-Aznar Speakers bureau: Janssen, Boehringer Ingelheim and MSD, Consultant of: Janssen, Boehringer Ingelheim, Marie-Elise Truchetet: None declared, Alessandro Giollo: None declared, Alexandra Balbir-Gurman: None declared, Mickael Martin: None declared, Christopher P Denton Speakers bureau: Boehringer Ingelheim; Janssen, Consultant of: Boehringer Ingelheim; GSK; Corbus; Sanofi; Roche; Horizon; CSL Behring; Acceleron, Grant/research support from: CSL Behring; Horizon; GSK; Servier, Armando Gabrielli: None declared, Håvard Fretheim Consultant of: Bayer, GSK, Actelion, Imon Barua: None declared, Helle Bitter Speakers bureau: Boehringer Ingelheim, Øyvind Midtvedt: None declared, Kaspar Broch: None declared, Arne Andreassen: None declared, Yoshiya Tanaka Speakers bureau: Gilead, Abbvie, Behringer-Ingelheim, Eli Lilly, Mitsubishi-Tanabe, Chugai, Amgen, YL Biologics, Eisai, Astellas, Bristol-Myers, Astra-Zeneca, Consultant of: Eli Lilly, Daiichi-Sankyo, Taisho, Ayumi, Sanofi, GSK, Abbvie, Grant/research support from: Asahi-Kasei, Abbvie, Chugai, Mitsubishi-Tanabe, Eisai, Takeda, Corrona, Daiichi-Sankyo, Kowa, Behringer-Ingelheim, Gabriela Riemekasten: None declared, Ulf Müller-Ladner: None declared, Marco Matucci-Cerinic: None declared, Ivan Castellví: None declared, Elise Siegert: None declared, Eric Hachulla Speakers bureau: Johnson & Johnson, GlaxoSmithKline, Roche-Chugai, Consultant of: Bayer, Boehringer Ingelheim, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, Grant/research support from: CSL Behring, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, Oliver Distler Speakers bureau: Bayer, Boehringer Ingelheim, Janssen, Medscape, Consultant of: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, 4P Science, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur, Grant/research support from: Kymera, Mitsubishi Tanabe, Boehringer Ingelheim, Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Consultant of: Actelion, ARXX, Bayer, Boehringer Ingelheim, Jansen, Lilly, Medscape, Merck Sharp & Dohme, Roche, Grant/research support from: Boehringer Ingelheim

AB1236 CLINICAL CHARACTERISTICS OF JUVENILE ONSET SYSTEMIC SCLEROSIS PATIENTS FROM THE JUVENILE SCLERODERMA INCEPTION COHORT COMPARED TO ADULT AGE JUVENILE-ONSET PATIENTS FROM EUSTAR. ARE THESE DIFFERENCES SUGGESTING RISK FOR MORTALITY?

Background

Juvenile systemic sclerosis (jSSc) is an orphan autoimmune disease with a prevalence of 3 in 1 000 000 children. Information on long-term development of organ involvement and clinical characteristics of jSSc patients in adulthood are lacking. It was believed that patients in adult cohorts may represent a survival biased population.

Objectives

To assess differences in clinical characteristics of jSSc-onset patients from the pediatric age group, with a mean disease duration of 3 years, compared to the adult age jSSc-onset group, with a mean disease duration of 18.5 years.

Methods

We extracted clinical data at time of inclusion into the cohorts from the Juvenile Scleroderma Inception Cohort (jSScC) and data from juvenile-onset adult SSc patients from the European Trials and Research Group (EUSTAR) cohort. We compared the clinical characteristics of the patients by descriptive statistics.

Results

We extracted data of 187 jSSc patients from the jSScC and 236 patients from EUSTAR. The mean age at time of assessment was 13.4 years old in the jSScC and 32.4 years old in EUSTAR. The mean disease duration since first non-Raynaud was 3.0 years in jSScC and 18.5 years in the EUSTAR (Table 1).

We found significant differences between the cohorts. There were more female patients in EUSTAR (87.7% versus 80.2%, p=0.04). More patients had diffuse subtype in jSScC (72.2% versus 40%, p<0.001). The modified Rodnan skin score (mRSS) was significantly higher in jSScC (14.2 versus 12.1, p=0.02). Active digital ulceration occurred more often in EUSTAR (26.6%, versus 17.8% p=0.01), but history of active ulceration was more frequent in jSScC (54.1% versus 43%, p<0.001). Mean DLCO was lower in jSScC (75.4 versus 86.3, p<0.001). Intestinal involvement was significantly more common in jSSc (33.2% versus 23.8%, p=0.04). Esophageal involvement was more common in EUSTAR (63.7% versus 33.7%, p<0.001). (Table 1).

Table 1.

Clinical characteristics of juvenile onset SSc patients at time point of the inclusion into the juvenile scleroderma inception (jSScC) cohort and in the adult EUSTAR- cohort

jSScCEUSTAR CohortP valueNumber of patients1872360.04Age in years, mean (SD)13.4 (3.6)32.4 (15.4)Female patients, n (%)150 (80.2%)207 (87.7%)jSSC Subtype, n (%)diffuse135 (72.2%)87 (38.1%)<0.001limited52 (27.8%)121 (53.3%)Age at Raynaud onset in years, mean (SD)10.0 (3.9)13.7 (9.1)Age at non-Raynaud onset in years, mean (SD)10.3 (3.9)11.7 (3.7)Duration since first Raynaud symptoms in years, mean (SD)3.4 (2.7)20.6 (15.9)Duration since first non-Raynaud symptoms in years, mean (SD)3.0 (2.7)18.5 (15.6)Raynaud´s, n (%)170 (90.9%)222 (94.9%)ANA positive, n (%)166 (91.7%)210 (92.9%)0.99Anti-Scl 70 positive, n (%)62 (34.4%)73 (33.3%)0.68Modified Rodnan Skin Score, mean (SD)5%Data missingModified Rodnan Skin Score, mean (SD)14.2 (11.7)12.1 (14.5)0.02Digital ulceration, n (%)At the time of inclusion33 (17.8)21 (26.6%)0.01In the past history100 (54.1%)34 (43%)<0.001Telangiectasia62 (37.4%)42 (53.2%)0.04FVC, mean (SD)84.1 (18.6)84 (22.4)0.96DLCO, mean (SD)75.4 (19.2)86.3 (19.9)<0.001Arterial hypertension, n (%)10 (5.4%)20 (8.5%)0.26Renal crisis, n (%)03 (1.3%)0.26Esophageal involvement, n (%)63 (33.7%)149 (63.7%)<0.001Intestinal involvement, n (%)62 (33.2%)56 (23.8%)0.04Articular involvement, n (%)34 (18.3%)27 (11.6%)0.06Muscular involvement, n (%)31 (19.3%)46 (19.8%)0.45

Conclusion

Patients with jSSc-onset who are currently adult age (defined as >18 years of age) are less frequently male and from the diffuse subset, have lower mRSS, less digital ulcers and intestinal involvement. This might represent a combination of both survival bias and/or be explained by the longer observation time with less active disease (i.e. natural progression decreased mRSS over time). Further long-term observational studies with jSSc patients are required to address this issue.

Disclosure of Interests

None declared

POS0054 THE IMPACT AND OUTCOME OF COVID-19 ON SYSTEMIC SCLEROSIS PATIENTS FROM THE EUROPEAN SCLERODERMA TRIAL AND RESEARCH GROUP (EUSTAR)

Background:

Coronavirus disease-19 (COVID-19) has been a major clinical challenge worldwide. Sex, age and comorbidities have been associated with worse outcome in the general population. Systemic sclerosis (SSc) is a severe, autoimmune disease with frequent multi-organ involvement.

Objectives:

To assess the impact of COVID-19 and to determine factors associated with worse outcome in SSc patients from the European Scleroderma Trial and Research (EUSTAR) database.

Methods:

SSc patients from the EUSTAR database with COVID-19 were prospectively collected between 15.03.-31.12.2020. Two outcomes were chosen: (1) hospitalization; and (2) severe outcome defined as either non-invasive ventilation, mechanical ventilation/extracorporeal membrane oxygenation (ECMO) or death. General risk factors assessed were sex, age and number of comorbidities. SSc related risk factors were SSc subtype, autoantibodies, disease duration, SSc associated organ manifestations including interstitial lung disease (ILD), pulmonary arterial hypertension (PAH), cardiac, gastrointestinal (GI), and musculoskeletal involvement; digital ulcers (DU), CRP at last visit, renal disease (scleroderma renal crisis and SSc associated renal insufficiency), modified Rodnan skin score (mRSS) and immunosuppressive treatment. Descriptive statistics and logistic regression models were applied.

Results:

In total, 178 European SSc patients with COVID-19 were registered with a median observation time of 5.5 weeks (Table 1). 95 patients (53%) could recall SAR-Cov-2 contact, while 47 (26%) had no contact. 156 (88%) were symptomatic at COVID-19 onset with fever, cough, malaise and dyspnea being most prevalent. Over the disease course, 63 (36%) developed pneumonia. In total, 67/176 (38%) were hospitalized which were in 84% due to COVID-19. 41/170 (24%) had a severe outcome including 21 (12%) deaths. 128 (72%) recovered completely, while 14 (8%) complained of sequela, with 7 (50%) stating respiratory complications. Age, non-SSc comorbidities, presence of ILD, PAH and SSc associated renal or cardiac disease were numerically associated with hospitalization and severe outcome (Table 1). Univariable logistic analyses for hospitalization and severe outcome are shown in Figure 1. In multivariable logistic regression, age (OR 1.03, 95%CI 1.01-1.07, p=0.019), presence of non-SSc comorbidities (OR 2.52, 95%CI 1.16-5.47, p=0.019) and SSc-related renal disease (predicting success perfectly) were associated with hospitalization and for severe outcome age (OR 1.05, 95%CI 1.01-1.08).

Conclusion:

SSc patients at older age, with non-SSc comorbidities, SSc related renal disease or ILD are at risk of a more severe outcome and should follow precautions to avoid COVID-19 infections and need careful monitoring in case of COVID-19.

Table 1.

SSc disease characteristics of COVID-19 patients

All(n=172)Hospitalized(n=67)Severe outcome(n=41)Age at COVID-19, yrs (SD)57 (14.0)63 (13.8)65 (12.2)Male sex, n (%)38 (21)18 (27)12 (29)≥1 comorbidity, n (%)63/176 (36)37 (55)30 (58)SSc disease duration at COVID, yrs (SD)11.5 (8.8)13.3 (9.7)12.7 (10.2)Diffuse cutaneous SSc, n (%)74 (42)29 (43)19 (46)mRSS, median (IQR)5 (8)5 (9)5 (7)ILD, n (%)90/175 (51)36/65 (55)26/40 (65)PAH, n (%)21/175 (12)11/65 (17)8/40 (20)GI disease, n (%)112/176 (64)45 (67)30 (73)Cardiac disease, n (%)37/166 (22)19/59 (32)16/36 (44)Musculoskeletal disease, n (%)40/175 (23)15/65 (23)6/40 (15)Renal disease, n (%)8/175 (5)7/65 (11)5/40 (13)Ever DU, n (%)69/175 (39)27/65 (42)14/40 (35)CRP, ng/ml (SD)35/177 (20)14 (21)9 (22)Immunosuppressive treatment, n (%)104/177 (59)41/66 (62)26 (63)Figure 1.

Univariable logistic analyses for hospitalization and severe outcome

Disclosure of Interests:

Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Roche, Merck Sharp & Dohme, ARXX, Lilly and Medscape, Consultant of: Actelion, Boehringer Ingelheim, Bayer, ARXX, and Medscape

, Grant/research support from: Boehringer Ingelheim, Cathrine Brunborg: None declared, Francesca Tirelli: None declared, Patricia Carreira: None declared, Nicoletta Del Papa: None declared, Arsene Mekinian: None declared, Madelon Vonk: None declared, Alessandro Giollo: None declared, Giacomo De Luca: None declared, Maria De Santis: None declared, Corrado Campochiaro: None declared, Carina Mihai: None declared, Paolo Airò Speakers bureau: Bristol Myers Squibb, Bohringer Ingelheim, Consultant of: Bristol Myers Squibb, Bohringer Ingelheim, non-financial support from CSL Behring, SOBI, Janssen, Roche, Sanofi, Pfizer, Maria Grazia Lazzaroni: None declared, Elisabetta Zanatta: None declared, Rosario Foti: None declared, Yannick Allanore: None declared, Daniel Furst: None declared, Marco Matucci-Cerinic: None declared, Armando Gabrielli: None declared, Oliver Distler Speakers bureau: Actelion, Kymera Therapeutics, Mitsubishi Tanabe Pharma, Abbvie, Acceleron, Alexion, Amgen, AnaMar, Arxx Therapeutics, Baecon, Discovery, Blade Therapeutics, Corbus Pharmaceuticals, Drug Development International, Ltd, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Kymera Therapeutics, Lilly, Novartis, Pfizer, Topadur and UCB, Consultant of: Actelion, Kymera Therapeutics, Mitsubishi Tanabe Pharma, Abbvie, Acceleron, Alexion, Amgen, AnaMar, Arxx Therapeutics, Baecon, Discovery, Blade Therapeutics, Corbus Pharmaceuticals, Drug Development International, Ltd, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Kymera Therapeutics, Lilly, Novartis, Pfizer, Topadur and UCB, Grant/research support from: Boehringer Ingelheim.

POS0316 MODELLING SHORT-TERM FVC CHANGES FROM SENSCIS TO LONG-TERM FVC COURSE IN SSc-ILD DEMONSTRATES CLINICALLY MEANINGFUL REDUCTION OF FVC DECLINE AND SURVIVAL BENEFITS

Background:

Nintedanib has shown to slow FVC decline by 41ml over 52 weeks in systemic sclerosis-associated interstitial lung disease (SSc-ILD). However, the long-term effect of nintedanib treatment on ILD progression and mortality in SSc patients is so far unknown.

Objectives:

Here, the 52-week treatment efficacy of nintedanib was modeled and extrapolated on the long-term FVC course and survival in SSc-ILD patients from the European Scleroderma Trial and Research (EUSTAR) database.

Methods:

SSc patients from the EUSTAR database fulfilling the inclusion criteria of the SENSCIS trial (SSc classification criteria, ILD confirmed by imaging, disease duration of <7 years, FVC≥40%pred, diffusion capacity of the lung for carbon monoxide (DLCO) 30-89%pred); and matched for baseline characteristics as well as matched for the 52-week FVC change of SENSCIS patients were included (n=236). Linear mixed models including time, risk factors at baseline (sex, age, dyspnea class, DLCO%, CRP, modified Rodnan skin score, SSc subtype, SSc auto-antibodies, disease duration, synovitis and muscle weakness) were used to estimate the natural FVC course over time. On this natural course of FVC, the observed effect from the SENSCIS trial representing the absolute 52-week difference of FVC decline between the nintedanib and the placebo group was applied as continuous annual effect (SENSCIS effect model). Survival was estimated for both the natural course as well as the SENSCIS effect model using Cox regression.

Results:

Of the 236 included patients, 75% were females, 65% had diffuse cutaneous SSc. Mean age was 50.6 years, mean FVC 78.2%pred and DLCO 56.3%pred at time of inclusion. Mean FVC change after 12±3 months was -2.3 ±6.9%pred. These parameters were largely similar to the characteristics of the SENSCIS population.

In the longitudinal follow up of this population, the natural course of FVC showed a total FVC decline of -16.3%pred over 5 years. With assumed SENSCIS effects (effects of nintedanib treatment reported in SENSCIS), the 5-year FVC decline was reduced to -10.3%pred (Figure 1).

The reduced FVC progression translated into an improved survival. The natural 5-year survival of this SSc-ILD population was 88.2%. When extrapolating also a severe FVC decline early in the course, frequently terminated by early mortality of SSc patients excluding them from long-term outcome assessment, the estimated 5-year survival was reduced to 81.6%. When the SENSCIS effects on FVC were considered, the 5-year extrapolated survival was increased to 86.3% (Figure 2).

Conclusion:

Long-term experience of nintedanib treatment in SSc-ILD patients is lacking so far, therefore we modeled and extrapolated the 52-week treatment efficacy of nintedanib on the long-term FVC course and survival in SSc-ILD patients from the EUSTAR database. We could demonstrate a significant reduction of FVC decline by extrapolating the annual treatment effects of nintedanib from the SENSCIS trial from 1 to 5 years in EUSTAR. Translating these reductions of FVC decline into survival, the 5-year mortality rate was reduced from 18% to 13%.

Disclosure of Interests:

Anna-Maria Hoffmann-Vold Speakers bureau: Boehringer Ingelheim, Actelion, Roche, Merck Sharp & Dohme, Lilly, Consultant of: Actelion, Boehringer Ingelheim, Roche, Bayer, Merck Sharp & Dohme, ARXX, Lilly and Medscape, Grant/research support from: Boehringer Ingelheim, Dörte Huscher: None declared, Paolo Airò Speakers bureau: Boehringer Ingelheim, Consultant of: Bristol-Myers-Squibb, Novartis, Elisabetta Zanatta Speakers bureau: Boehringer Ingelheim, Actelion, GSK, Paid instructor for: GSK, Consultant of: Boehringer Ingelheim, GSK, Patricia Carreira Speakers bureau: Actelion, Boehringer Ingellheim, Janssen, GSK, Paid instructor for: Boehringer Ingelheim, Consultant of: AbbVie, Boehringer Ingelheim, VivaCell, Emerald Health Pharmaceuticals, Gesynta Pharma, Sanofi Genzyme, Grant/research support from: Roche, GSK, Yannick Allanore Consultant of: Honorarium received from Boehringer, Medsenic

Sanofi, Menarini, Grant/research support from: Grants received from Alpine, Ose Immunogenetics, Ulf Müller-Ladner Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Alessandro Giollo: None declared, Maria Rosa Pozzi: None declared, CAROLINA SOUZA MULLER Speakers bureau: Boehinger Ingelheim, Janssen, Roche, LIBBS, Bristol-Myers-Squib, Radim Bečvář Consultant of: Actelion, Boehringer Ingelheim, Michele Iudici: None declared, Dominik Majewski Speakers bureau: Boehringer Ingelheim - 2 x paid as a speaker, Armando Gabrielli Grant/research support from: Pfizer, CSL Behring, Margarida Alves Employee of: Boehringer Ingelheim, Nils Schoof Employee of: Boehringer Ingelheim International GmbH, Oliver Distler Speakers bureau: Boehringer Ingelheim, Medscape, IQone, Roche, Consultant of: Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, Kymera Therapeutics, Lilly, Medac, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB, Grant/research support from: Kymera Therapeutics, Mitsubishi Tanabe

THU0363 EFFECTS OF NINTEDANIB IN PATIENTS WITH SYSTEMIC SCLEROSIS-ASSOCIATED ILD (SSC-ILD) AND NORMAL VERSUS ELEVATED C-REACTIVE PROTEIN (CRP) AT BASELINE: ANALYSES FROM THE SENSCIS TRIAL

Background:

In the SENSCIS trial in patients with SSc-ILD, nintedanib reduced the rate of decline in forced vital capacity (FVC) over 52 weeks. Elevated CRP is a marker of an inflammatory phenotype and has been associated with a greater rate of decline in FVC and higher mortality in patients with SSc.

Objectives:

To assess the effects of nintedanib in subgroups by CRP at baseline in the SENSCIS trial.

Methods:

Patients with SSc-ILD with onset of first non-Raynaud symptom <7 years and ≥10% fibrosis of the lungs on HRCT were randomised to receive nintedanib or placebo. We analysed the rate of decline in FVC (mL/year) over 52 weeks, the proportion of patients with an absolute increase in FVC ≥3% predicted (proposed as the minimal clinically important difference for improvement in FVC in patients with SSc-ILD), and absolute change from baseline in mRSS at week 52 in subgroups with normal vs elevated high-sensitivity CRP (≤4.99 vs >4.99 mg/L) at baseline.

Results:

Of patients with available data, 78/270 (28.9%) and 74/261 (28.4%) in the nintedanib and placebo groups, respectively, had CRP >4.99 mg/L at baseline. Compared with patients with lower CRP, those with CRP >4.99 mg/L included a similar proportion of patients who were ATA-positive (61.8% vs 60.2%, respectively), a greater proportion with diffuse cutaneous SSc (63.2% vs 49.3%) and had a higher mean mRSS (13.7 vs 10.2) and lower mean FVC % predicted (68.6% vs 73.9%). The adjusted annual rate of decline in FVC in the placebo group was numerically greater in patients with CRP >4.99 than ≤4.99 mg/L at baseline (-106.6 [SE 27.6] vs -83.0 [17.1] mL/year). The effect of nintedanib vs placebo on reducing the rate of decline in FVC was numerically more pronounced in patients with CRP >4.99 than ≤4.99 mg/L at baseline but the treatment-by-time-by-subgroup interaction p-value did not indicate heterogeneity in the effect of nintedanib between subgroups (p=0.70) (Figure). In the nintedanib and placebo groups, respectively, the proportions of patients with an absolute increase in FVC ≥3% predicted at week 52 were 20.4% and 15.0% in those with CRP ≤4.99 mg/L and 24.4% and 14.9% in those with CRP >4.99 mg/L at baseline (treatment-by-subgroup interaction p=0.59); adjusted mean changes in mRSS at week 52 were -2.2 (SE 0.3) and -2.1 (0.3) in those with CRP ≤4.99 mg/L (difference -0.1 [95% CI -1.0, 0.8]) and -2.3 (0.5) and -1.0 (0.5) in those with CRP >4.99 mg/L at baseline (difference -1.2 [-2.7, 0.2]; treatment-by-visit-by-subgroup interaction p=0.20).

Conclusion:

In the SENSCIS trial, the rate of decline in FVC over 52 weeks in the placebo group was numerically greater in patients with elevated CRP at baseline. Nintedanib reduced the rate of decline in FVC both in patients with normal and elevated CRP at baseline, with a numerically greater effect in patients with elevated CRP.

Disclosure of Interests:

Gabriela Riemekasten Consultant of: Cell Trend GmbH, Janssen, Actelion, Boehringer Ingelheim, Speakers bureau: Actelion, Novartis, Janssen, Roche, GlaxoSmithKline, Boehringer Ingelheim, Pfizer, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Lesley Ann Saketkoo Grant/research support from: Corbus Pharmaceuticals, United Therapeutics, Consultant of: Boehringer Ingelheim, Eicos Sciences, Speakers bureau: Boehringer Ingelheim, Martin Aringer Consultant of: Boehringer Ingelheim, Roche, Speakers bureau: Boehringer Ingelheim, Roche, Lorinda Chung Grant/research support from: United Therapeutics, Boehringer Ingelheim, Consultant of: Bristol-Myers Squibb, Boehringer Ingelheim, Mitsubishi Tanabe, Eicos Sciences, Janet Pope Grant/research support from: AbbVie, Bristol-Myers Squibb, Eli Lilly & Company, Merck, Roche, Seattle Genetics, UCB, Consultant of: AbbVie, Actelion, Amgen, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Eicos Sciences, Eli Lilly & Company, Emerald, Gilead Sciences, Inc., Janssen, Merck, Novartis, Pfizer, Roche, Sandoz, Sanofi, UCB, Speakers bureau: UCB, Corinna Miede Employee of: Employee of Boehringer Ingelheim, Susanne Stowasser Employee of: Employee of Boehringer Ingelheim, Martina Gahlemann Employee of: Employee of Boehringer Ingelheim, Margarida Alves Employee of: Employee of Boehringer Ingelheim, Dinesh Khanna Shareholder of: Eicos Sciences, Inc./Civi Biopharma, Inc., Grant/research support from: Dr Khanna was supported by NIH/NIAMS K24AR063120, Consultant of: Acceleron, Actelion, Bayer, Boehringer Ingelheim, Bristol-Myers Squibb, Corbus Pharmaceuticals, Horizon Therapeutic, Galapagos, Roche/Genentech, GlaxoSmithKline, Mitsubishi Tanabe, Sanofi-Aventis/Genzyme, UCB

SAT0075 ABATACEPT IN COMBINATION WITH METOTREXATE IN PATIENTS WITH RHEUMATOID ARTHRITIS ASSOCIATED TO INTERSTITIAL LUNG DISEASE: NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is an extra-articular complication of rheumatoid arthritis (RA) that is associated with increased morbidity and mortality. Conventional disease-modifying drugs (DMARDs) such as methotrexate (MTX) have been implicated in the development and exacerbation of a pre-existing ILD.

Objectives:

The aim of our study was to check the influence of combined MTX treatment in patients with RA-ILD treated with abatacept (ABA).

Methods:

National multicentre retrospective registry of 263 patients with RA-ILD treated with ABA. RA was diagnosed according to the ACR classification criteria of 1987 or by the EULAR/ACR criteria of 2010. ILD was diagnosed by high resolution computed tomography (HRCT). In this study we have done a subanalysis of the 46 patients treated with ABA in combination with MTX (ABA+MTX) vs. 217 patients treated with ABA in monotherapy or in combination with other synthetic DMARDs. Efficacy was evaluated according to the following parameters: a) Dyspnoea (MMRC) considering variations ≥ 1; b) Lung function test (LFT) considering variations ≥ 10% in FVC and a variation of DLCO ≥ 10%; c) Imaging test (HRCT) d) DAS28 score e) prednisone dose. Variables were collected at the beginning of the study and at months 3, 6, 12 and then every 12 months until a maximum of 60 months.

Results:

263 patients with ILD associated with RA were included in the study with mean age 64.64±10 years. RF or CCPA were positive in 235 (89.4%) and 233 (88.6%) cases, respectively, with a mean follow-up of 22.7±19.7 months. Baseline characteristics of both groups are shown in table 1, while data obtained during evolution of this complication are presented in Figure 1.

Conclusion:

Despite the baseline differences of both groups, the good evolution in the ABA+MTX subgroup suggests that this therapeutic strategy can be a safe combination for patients with RA-ILD.

ABA with MTX (n=46)ABA w/t MTX (n=217)PSex (F/M)28/18122/950.625Age (years)65.11±10.216.2±9.80.202RF/CCPA + (%)91.3/91.389.8/90.10.810Smoking or past smoking (%)47.855.10.417Follow-up (months)22.73±18.0022.3±20.850.916DAS28 at baseline4.08±1.514.61±1.470.056DAS28 at last visit3.00±1.463.13±1.310.642Prednisone at baseline, median (IQR) (mg)5 (5-7.5)7.75 (5-15)0.008*Prednisone at the end of study, median (IQR) (mg)5 (1-5)5 (5-7.5)0.032*DLCO at baseline (%)66.85±19.0465.43±18.210.823DLCO at the end of study (%)66.05±20.9565.17±19.720.831FVC at baseline (%)90.06±17.7785.40±21.560.164FVC at the end of study (%)90.58±15,4584.21±21.490.038*

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

, CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, Edilia García-Fernández: None declared, R. López-Sánchez: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD

AB0602 SYSTEMIC SCLEROSIS: SUBCLINICAL ATHEROSCLEROSIS AND MORBIMORTALITY

Background:

Rheumatic diseases are associated with accelerated atherosclerosis, and an increase in cardiovascular morbidity and mortality. This process is mediated by classic cardiovascular risk factors (CVRF), chronic inflammation and atherogenic treatments such as corticosteroids. In Systemic Sclerosis (SSc) cardiovascular complications have increased in recent decades, although the studies on subclinical atherosclerosis (sATS) in SSc show discordant results.

Objectives:

To evaluate prospectively the relationship between subclinical atherosclerosis, cardiovascular morbidity and mortality in patients with SSc.

Methods:

120 consecutive patients with SSc who attended their medical regular review during November and December 2011 were included. We evaluated the presence of plaques and measured the right CCA IMT by B doppler US for the detection of sATS (IMT> 0.9mm and/or presence of plaque), review of classic CVRF and estimation of Medsger severity and EUSTAR activity index. Patients have been followed for 8 years, with at least annual consultation. In retrospect, the SCTC damage index, published in 2019, was obtained at the time of inclusion in the study. The clinical characteristics of the patients are collected since 1990 in a Prospective Longitudinal Observational Study (PLOS). Descriptive analysis was performed, using contigence tables for qualitative variables, and comparison of means for quantitative variables. The relationship between clinical characteristics, mortality, cardiovascular events (CVE), activity, severity and damage index, and sATS, was analyzed using binary logistic regression, adjusting for age and sex.

Results:

120 patients with SSc were included (93% female, age 60 ± 12 years). 42 of these patients (35%) had subclinical atherosclerosis. Age was statistically significant higher in patients with sATS compared to those without it (67.9±11.5 vs. 56.1±10.4 years, p <0.001). We found no differences between groups in activity, damage and severity index (Table 1). Patients with sATS had higher levels of ESR and CRP, but the difference was not confirmed after adjusting for age (*). During the 8 years of follow-up, 9 CVE in 7 patients (5.8%): three myocardial infarction, one transient ischemic accident, one angor, one intermittent claudication and three refractory heart failure. The incidence of severe CVE was more than double in patients with SAtS (10.25% vs. 3.7%), but the difference was not significant. We found no relationship between the mortality of any cause, or the secondary to CVE, with sATS, in the 32 patients who died during the follow-up, 3 due to CVE (9.4%). The results are similar when we analyze only the presence of plaques.

Table 1.

Relationship between clinical characteristics and activity, severity and damage index with the presence of accelerated atheromatosis.

Absent n=78Present n=42Diffuse cutaneous SSc37.18%26.12%NSmRSS7.71 ± 6.326.38 ± 4.92NSHigh mRSS9.69 ± 8.337.57 ± 4.74NSArthritis32.05%28.57%NSLung involvement33.33%30.95%NSPAH10.26%7.14%NSCardiac involvement15.38%9.52%NSDigital ulcers35.90%35.83%NSAntiScl7025.64%21.43%NSESR20.12 ± 13.7726.88 ±17.25p =0.037*CPR0.65 ± 0.610.89 ± 0.7p =0.041*High activity index11.54%19.05%NSDamage index6.67 ± 5.565.62 ± 4.9NSΣ Medsger index5.37 ± 3.55.05 ± 3.45NS

Conclusion:

In our study subclinical atherosclerosis is not related to higher mortality in patients with SSc, but it does seem to influence the occurrence of cardiovascular events. In addition, our results suggest that SSc does not influence the onset of accelerated atheromatosis.

Acknowledgments:

M Retuerto was recipient of a training grant from Sociedad Española de Reumatologia (SER).

Disclosure of Interests:

M. Retuerto-Guerrero: None declared, MARIA MARTIN LOPEZ: None declared, Beatriz Joven-Ibáñez Speakers bureau: Abbvie, Celgene, Janssen, Merck Sharp & Dohme, Novartis, Pfizer, José Luis Rosales Grant/research support from: I have received financial support from Novartis, UCB, Pfizer, Abvie to meeting and symposia, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche

SAT0616-HPR IMPLICATED FACTORS IN THERAPEUTIC ADHERENCE OF PATIENTS WITH RHEUMATOID ARTHRITIS: THE PATIENT´S PERSPECTIVE

Background:

Therapeutic adherence has become a topic of growing interest for medical research. Studies have reported non-adherence rates of 20-50% in rheumatoid arthritis (RA) patients (1). Poor adherence has a negative impact on disease outcomes and implies an economic burden for the health system (2). Identifying the potential risk factors for non-adherence is essential to develop intervention strategies to solve this problem

Objectives:

To establish the contribution of illness and medication beliefs to therapeutic adherence in RA. To explore the association of treatment adherence with other patient and disease factors.

Methods:

RA patients ≥ 18 years old from a military hospital diagnosed with RA based on ACR /EULAR 2010 criteria were included in a cross-sectional study. Compliance Questionnaire Rheumatology (CQR) was used to assess treatment adherence. Unsatisfactory compliance was defined as taking correct dosing < 80%. Illness and medication beliefs were evaluated using the “Brief Illness Perception Questionnaire “(IPQ-b) and the “Beliefs about medicine questionnaire” (BMQ). Demographic data and clinical characteristics were collected by standardized clinical interview and revision of medical records.

Results:

144 patients were included the study, 106 (73.6%) women, with a mean age of 62 years (SD 12) and median disease duration of 5 years (interquartile range 25-75: 2-11). 113 (78.4%) patients showed good treatment adherence. No differences were observed regarding demographics and clinical characteristics. Strong beliefs about drugs potential damage was associated with poor compliance (13±5 vs. 11±3, p= 0.013), meanwhile increased belief in medication necessity was associated with good compliance (21±3 vs. 20±3, p= 0.015). From the illness perception measures, adherent patients had increased feeling of treatment control (8.8± 1.5 vs 7.7± 2.1,p= 0.008) and greater emotional response (6.2±3.1 vs 4.8±3.4,p= 0.042). In a multivariate analysis was found that for each unit of increase in the score of BMQ´s damage domain, adherence was reduced by 20% (CI 95% 0.7-0.9, p= 0.001); for each unit of increase in the treatment control item of the IPQ-b, adherence increased 1.42 times (CI 95% 1.1-1.8,p= 0.006); and for each unit of increase in the emotional response item of the IPQ-b, adherence increased 1.2 times (CI 95% 1.08-1.46,p= 0.002).

Conclusion:

Illness and medication beliefs could influence compliance to treatment in patients with RA.

References:

[1]van den Bemt BJ, van den Hoogen FH, Benraad B, et al. Adherence rates and association with nonadherence in patients with rheumatoid arthritis using disease modifyin antirheumatic drugs. J Rheumatol. 2009;36(10):2164–70.

[2]Martikainen JA, Kautiainen H, Rantalaiho V, et al.. Longterm Work Productivity Costs Due to Absenteeism and Permanent Work Disability in Patients with Early Rheumatoid Arthritis : A Nationwide Register Study of 7831 Patients. J Rheumatol. 2016;43(12):2101–5.

Disclosure of Interests:

María Ahijón: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Carmen De La Cruz: None declared, Raúl Veiga: None declared, Carlos Gutierrez: None declared

SAT0035 RESPONSE TO ABATACEPT OF DIFFERENT PATTERNS OF INTERSTITIAL LUNG DISEASE IN RHEUMATOID ARTHRITIS: NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is a severe extraarticular manifestation of rheumatoid arthritis (RA). In this line, several radiological patterns of RA-ILD have been described: i) usual interstitial pneumonia (UIP), ii) nonspecific interstitial pneumonia (NSIP), iii) obliterating bronchiolitis, iv) organized pneumonia and mixed patterns. Abatacept (ABA) could be an effective and safe option for patients with RA-ILD, although the response in the different radiological patterns is not well defined.

Objectives:

Our aim was to assess the response to ABA in different radiological patterns of ILD.

Methods:

Observational retrospective multicenter study of RA-ILD treated with ABA. ILD was diagnosed by HRCT and classified by radiological patterns in 3 different subgroups of RA-ILD: a) UIP, b) NSIP and c) “other”. ABA was used sc. or iv. at standard dose. We assessed: a) Dyspnoea (MMRC scale; significant variation ≥1); b) Respiratory function tests (significant changes ≥10% in FVC and DLCO); c) HRCT imaging; d) DAS28 e)prednisone dose.

Variables were collected at months 0, 3, 6, 12 months and subsequently every 12 months until a maximum of 60 months.

Results:

We included 263 patients: 106 UIP, 84 NSIP and 73 others (150 women / 113 men), mean age 64.64±10 years. Total patients positive for RF or CCPA were 235 (89.4%) and 233 (88.6%), respectively. In 26 out of 263 patients, the development of ILD was closely related to the administration of sDMARDs (MTX n = 11 and LFN n = 1) or bDMARDs (ETN n = 5, ADA n = 4, CZP n = 2 and IFX n = 3). Patient characteristics are shown in table 1. Figure 1 shows the evolution of the cases with available data after a mean follow-up of 22.7±19.7 months. Mean DLCO and FVC remained stable in the 3 groups without statistically significant changes, and all the groups showed a statistically significant reduction in DAS28 and prednisone dose.

Conclusion:

ABA could be a good choice of treatment in patients with RA-ILD independently of the radiological pattern of ILD.

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

, CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, R. López-Sánchez: None declared, Edilia García-Fernández: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

OP0251 THE EULAR SYSTEMIC SCLEROSIS IMPACT OF DISEASE (SCLEROID) SCORE – A NEW PATIENT-REPORTED OUTCOME MEASURE FOR PATIENTS WITH SYSTEMIC SCLEROSIS

Background:

Patient reported outcome measures (PROM) are important for clinical practice and research. Given the unmet need for a comprehensive PROM for systemic sclerosis (SSc), the ScleroID questionnaire was developed by a joint team of patients with SSc and medical experts. This is intended as a brief, specific, patient-derived, disease impact score for research and clinical use in SSc.

Objectives:

Here, we present the validation and final version of the ScleroID.

Methods:

This EULAR-endorsed project involves 9 European expert SSc centers. Patients fulfilling the ACR/EULAR 2013 criteria were prospectively included since 05/16 in a large observational cohort study. Patients completed the ScleroID and comparators SHAQ, EQ5D, SF36. They also weighted the 10 dimensions of the ScleroID by distributing 100 points according to the perceived impact on their health. The final score calculation is based on the ranking of the weights. The validation study included a reliability arm and a longitudinal arm, looking at sensitivity to change at follow-up.

Results:

Of the 472 patients included at baseline, 109 patients also had a reliability visit and 113 patients a follow-up visit. 84.5% of patients were female, 29.8% had diffuse SSc, mean age was 54.6 years, and mean disease duration 9.5 years. The highest weights were assigned by the patients to Raynaud`s phenomenon, fatigue, hand function and pain, confirming our previous results. The total ScleroID score showed good Spearman correlation coefficients with the comparators (SHAQ, 0.73; EQ5D -0.48; Patient’s global assessment, VAS 0.77; HAQ-DI 0.62; SF36 physical score -0.62; each p<0.001). The internal consistency was good: Crohnbach’s alpha 0.866, similar to SS-HAQ (0.88) and higher than EQ5D (0.77). The ScleroID had a very good reliability: intra-class correlation coefficient 0.839 (ranging 0.608 to 0.788 for the individual items), superior to all comparators. Twenty of 113 patients reported a change in their disease status at follow up. Sensitivity to change: the standardized response mean was 0.34 for the total ScleroID score and highest for lower GI (0.633) and life choices domains (0.521), superior to all other PROM. Figure 1 shows the final ScleroID.

Figure 1.

Conclusion:

The EULAR ScleroID is a novel PROM designed for use in clinical practice and clinical trials to reflect the disease impact of SSc, showing good performance in the validation study. Importantly, Raynaud syndrome, impaired hand function, pain and fatigue were the main patient reported drivers of disease impact.

Disclosure of Interests:

Mike O. Becker: None declared, Rucsandra Dobrota: None declared, Kim Fligelstone: None declared, Annelise Roennow: None declared, Yannick Allanore Grant/research support from: BMS, Inventiva, Roche, Sanofi, Consultant of: Actelion, Bayer AG, BMS, BI, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, László Czirják Consultant of: Actelion, BI, Roche-Genentech, Lilly, Medac, Novartis, Pfizer, Bayer AG, Christopher Denton Grant/research support from: GlaxoSmithKline, CSL Behring, and Inventiva, Consultant of: Medscape, Roche-Genentech, Actelion, GlaxoSmithKline, Sanofi Aventis, Inventiva, CSL Behring, Boehringer Ingelheim, Corbus Pharmaceuticals, Acceleron, Curzion and Bayer, Roger Hesselstrand: None declared, Gunnel Sandqvist: None declared, Otylia Kowal-Bielecka Consultant of: Bayer, Boehringer Ingelheim, Inventiva, MSD, Medac, Novartis, Roche and Sandoz, Speakers bureau: Bayer, Boehringer Ingelheim, Inventiva, MSD, Medac, Novartis, Roche and Sandoz, Cosimo Bruni Speakers bureau: Actelion, Eli Lilly, Marco Matucci Cerinic: None declared, Carina Mihai: None declared, Ana Maria Gheorghiu: None declared, Ulf Müller-Ladner Speakers bureau: Biogen, Joe Sexton: None declared, Turid Heiberg: None declared, Oliver Distler Grant/research support from: Grants/Research support from Actelion, Bayer, Boehringer Ingelheim, Competitive Drug Development International Ltd. and Mitsubishi Tanabe; he also holds the issued Patent on mir-29 for the treatment of systemic sclerosis (US8247389, EP2331143)., Consultant of: Consultancy fees from Actelion, Acceleron Pharma, AnaMar, Bayer, Baecon Discovery, Blade Therapeutics, Boehringer, CSL Behring, Catenion, ChemomAb, Curzion Pharmaceuticals, Ergonex, Galapagos NV, GSK, Glenmark Pharmaceuticals, Inventiva, Italfarmaco, iQvia, medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Roche, Sanofi and UCB, Speakers bureau: Speaker fees from Actelion, Bayer, Boehringer Ingelheim, Medscape, Pfizer and Roche

OP0212 ABATACEPT IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH RHEUMATOID ARTHRITIS. NATIONAL MULTICENTER STUDY OF 263 PATIENTS

Background:

Interstitial Lung Disease (ILD) is a severe complication of Rheumatoid Arthritis (RA). Several conventional disease-modifying anti-rheumatic drugs (cDMARDs) and biologic (b) DMARDs may induce or impaired ILD-RA. Abatacept (ABA) may be useful in ILD-RA (1).

Objectives:

To assess the efficacy and safety of ABA in a large series of ILD-RA for a long-term follow-up.

Methods:

Multicenter open-level study of ILD-RA treated with at least 1 dose of ABA. ILD was diagnosed by high-resolution computed tomography (HRTC). We study these outcomes: a) 1-point change Modied Medical Research Council (MMRC); b) forced vital capacity (FVC) and/or DLCO improvement or decline ≥10%; c) change in HRCT, d) change in DAS28. e) Prednisone dose. Values were collected at 0, 3, 6, 12 and then every 12 months.

Results:

We studied 263 patients (150 women/113 men) (mean age;64.6±10 years), with ILD-RA. At ABA-onset they were smokers or exsmoker (53.8%), positive APCC (88.6%), median [IQR] duration of ILD of 12 [3-41.25] months, mean DLCO (65.7±18.3) and FVC (85.9±21.8).

The ILD-pattern were usual interstitial pneumonia (UIP) (40.3%), non-specific interstitial pneumonia (NSIP) (31.9%) and others (27.8%).

ABA was prescribed at standard subcutaneous (125 mg/w) in 196 (74.5%) or intravenously (10 mg/kg/4 w) in 67 (25.5%); in monotherapy (n=111) or combined with cDMARDs (n=152); especially leflunomide (n=55), MTX (n=46), or antimarials (n=21).

After a mean follow-up of 22.7±19.7 months most outcomes remain stable (Figure). Moreover, DAS28 improved from 4.5±1.5 to 3.1±1.3; prednisone dose reduced from a median 7.5 [5-10] to 5 mg [5-7.5] and retention rate was 76.4%. The main adverse effects were serious infections (n=28), neoplasia (n=3), serious infusion reaction (n=1) and myocardial infarction (n=1).

Conclusion:

ABA seems effective and relatively safe in ILD-RA.

References:

[1]Fernández-Díaz C et al. Semin Arthritis Rheum. 2018; 48:22-27

Disclosure of Interests:

Carlos Fernández-Díaz Speakers bureau: Brystol Meyers Squibb, Santos Castañeda: None declared, Rafael Melero: None declared, J. Loricera: None declared, Francisco Ortiz-Sanjuán: None declared, A. Juan-Mas: None declared, Carmen Carrasco-Cubero Speakers bureau: Janssen, MSD, AbbVie, Novartis, Bristol Myers Squibb, and Celgene, S, Rodriguéz-Muguruza: None declared, S. Rodrigez -Garcia: None declared, R. Castellanos-Moreira: None declared, RAQUEL ALMODOVAR Speakers bureau: Abbvie, Celgene, Janssen, Lilly, Novartis, Pfizer.

CLARA AGUILERA CROS: None declared, Ignacio Villa-Blanco Consultant of: UCB, Speakers bureau: Novartis, MSD, Lilly, Sergi Ordoñez: None declared, Susana Romero-Yuste: None declared, C. Ojeda-Garcia: None declared, Manuel Moreno: None declared, Gemma Bonilla: None declared, I. Hernández-Rodriguez: None declared, Mireia Lopez Corbeto: None declared, José Luis Andréu Sánchez: None declared, Trinidad Pérez Sandoval: None declared, Alejandra López Robles: None declared, Patricia Carreira Grant/research support from: Actelion, Roche, MSD, Consultant of: GlaxoSmithKline, VivaCell Biotechnology, Emerald Health Pharmaceuticals, Boehringer Ingelheim, Roche, Speakers bureau: Actelion, GlaxoSmithKline, Roche, Natalia Mena-Vázquez: None declared, C. Peralta-Ginés: None declared, ANA URRUTICOECHEA-ARANA: None declared, Luis Marcelino Arboleya Rodríguez: None declared, J. Narváez: None declared, DESEADA PALMA SANCHEZ: None declared, Olga Maiz-Alonso: None declared, J. Fernández-Leroy: None declared, I. Cabezas-Rodriguez: None declared, Ivan Castellví Consultant of: Boehringer Ingelheim, Actelion, Kern Pharma, Speakers bureau: Boehringer Ingelheim, Actelion, Bristol-Myers Squibb, Roche, A. Ruibal-Escribano: None declared, JR De Dios-Jiménez Aberásturi: None declared, Paloma Vela-Casasempere: None declared, C. González-Montagut Gómez: None declared, J M Blanco: None declared, Noelia Alvarez-Rivas: None declared, N. Del-Val: None declared, M. Rodíguez-Gómez: None declared, Eva Salgado-Pérez: None declared, Carlos Fernández-López: None declared, E.C. Cervantes Pérez: None declared, A. Devicente-DelMas: None declared, Blanca Garcia-Magallon Consultant of: MSD, Speakers bureau: Pfizer, Amgen, Celgene, MSD, Cristina Hidalgo: None declared, Sabela Fernández: None declared, Edilia García-Fernández: None declared, R. López-Sánchez: None declared, S. Castro: None declared, P. Morales-Garrido: None declared, Andrea García-Valle: None declared, Rosa Expósito: None declared, L. Exposito-Perez: None declared, Lorena Pérez Albaladejo: None declared, Ángel García-Aparicio: None declared, Miguel A González-Gay Grant/research support from: Pfizer, Abbvie, MSD, Speakers bureau: Pfizer, Abbvie, MSD, Ricardo Blanco Grant/research support from: AbbVie, MSD, and Roche, Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, and MSD

Replication of PTPRC as genetic biomarker of response to TNF inhibitors in patients with rheumatoid arthritis

Genetic biomarkers could be useful for orienting treatment of patients with rheumatoid arthritis (RA), but none has been convincingly validated yet. Putative biomarkers include 14 single nucleotide polymorphisms that have shown association with response to TNF inhibitors (TNFi) in candidate gene studies and that we assayed here in 755 RA patients. Three of them, in the PTPRC, IL10 and CHUK genes, were significantly associated with response to TNFi. The most significant result was obtained with rs10919563 in PTPRC, which is a confirmed RA susceptibility locus. Its RA risk allele was associated with improved response (B=0.33, P=0.006). This is the second independent replication of this biomarker (P=9.08 × 10(-8) in the combined 3003 RA patients). In this way, PTPRC has become the most replicated genetic biomarker of response to TNFi. In addition, the positive but weaker replication of IL10 and CHUK should stimulate further validation studies.

The 11q23.3 genomic region-rs964184-is associated with cardiovascular disease in patients with rheumatoid arthritis

Rheumatoid arthritis (RA) is an inflammatory disease associated with high risk of cardiovascular (CV) events. Recently, the rs964184 polymorphism has been associated with coronary artery disease in nonrheumatic Caucasian individuals. 2160 Spanish RA patients were genotyped for the rs964184 polymorphism. Sex, age at diagnosis and traditional CV risk factors (diabetes mellitus, dyslipidemia and smoking habit) were associated with increased risk of CV events. Interestingly, RA patients carrying the rs964184 GG genotype had significantly higher risk of CV events than those with CC genotype [hazard ratio (HR) = 2.91, 95% confidence interval (CI): 1.36-6.26, P = 0.006] after adjusting the results for sex, age at diagnosis and traditional CV risk factors. Our results indicate that rs964184 polymorphism is associated with CV disease in RA.

Dosimetric effect by shallow air cavities in high energy electron beams

This study evaluates the dosimetric impact caused by an air cavity located at 2 mm depth from the top surface in a PMMA phantom irradiated by electron beams produced by a Siemens Primus linear accelerator. A systematic evaluation of the effect related to the cavity area and thickness as well as to the electron beam energy was performed by using Monte Carlo simulations (EGSnrc code), Pencil Beam algorithm and Gafchromic EBT2 films. A home-PMMA phantom with the same geometry as the simulated one was specifically constructed for the measurements. Our results indicate that the presence of the cavity causes an increase (up to 70%) of the dose maximum value as well as a shift forward of the position of the depth-dose curve, compared to the homogeneous one. Pronounced dose discontinuities in the regions close to the lateral cavity edges are observed. The shape and magnitude of these discontinuities change with the dimension of the cavity. It is also found that the cavity effect is more pronounced (6%) for the 12 MeV electron beam and the presence of cavities with large thickness and small area introduces more significant variations (up to 70%) on the depth-dose curves. Overall, the Gafchromic EBT2 film measurements were found in agreement within 3% with Monte Carlo calculations and predict well the fine details of the dosimetric change near the cavity interface. The Pencil Beam calculations underestimate the dose up to 40% compared to Monte Carlo simulations; in particular for the largest cavity thickness (2.8 cm).

Clinical prediction of 5-year survival in systemic sclerosis: validation of a simple prognostic model in EUSTAR centres

OBJECTIVE

Systemic sclerosis (SSc) is associated with a significant reduction in life expectancy. A simple prognostic model to predict 5-year survival in SSc was developed in 1999 in 280 patients, but it has not been validated in other patients. The predictions of a prognostic model are usually less accurate in other patients, especially from other centres or countries. A study was undertaken to validate the prognostic model to predict 5-year survival in SSc in other centres throughout Europe.

METHODS

A European multicentre cohort of patients with SSc diagnosed before 2002 was established. Patients with SSc according to the preliminary American College of Rheumatology classification criteria were eligible for the study when they were followed for at least 5 years or shorter if they died. The primary outcome was 5-year survival after diagnosis of SSc. The predefined prognostic model uses the following baseline variables: age, gender, presence of urine protein, erythrocyte sedimentation rate (ESR) and carbon monoxide diffusing capacity (DLCO).

RESULTS

Data were available for 1049 patients, 119 (11%) of whom died within 5 years after diagnosis. Of the patients, 85% were female, the mean (SD) age at diagnosis was 50 (14) years and 30% were classified as having diffuse cutaneous SSc. The prognostic model with age (OR 1.03), male gender (OR 1.93), urine protein (OR 2.29), elevated ESR (1.89) and low DLCO (OR 1.94) had an area under the receiver operating characteristic curve of 0.78. Death occurred in 12 (2.2%) of 509 patients with no risk factors, 45 (13%) of 349 patients with one risk factor, 55 (33%) of 168 patients with two risk factors and 7 (30%) of 23 patients with three risk factors.

CONCLUSION

A simple prognostic model using three disease factors to predict 5-year survival at diagnosis in SSc showed reasonable performance upon validation in a European multicentre study.

Analysis of the influence of PTPN22 gene polymorphisms in systemic sclerosis

OBJECTIVE

Two functional single nucleotide polymorphisms (SNP) in the PTPN22 gene (rs24746601 and rs33996649) have been associated with autoimmunity. The aim of this study was to investigate the role of the R263Q SNP for the first time and to re-evaluate the role of the R620W SNP in the genetic predisposition to systemic sclerosis (SSc) susceptibility and clinical phenotypes.

METHODS

3422 SSc patients (2020 with limited cutaneous SSc and 1208 with diffuse cutaneous SSc) and 3638 healthy controls of Caucasian ancestry from an initial case--control set of Spain and seven additional independent replication cohorts were included in our study. Both rs33996649 and rs2476601 PTPN22 polymorphisms were genotyped by TaqMan allelic discrimination assay. A meta-analysis was performed to test the overall effect of these PTPN22 polymorphisms in SSc.

RESULTS

The meta-analysis revealed evidence of association of the rs2476601 T allele with SSc susceptibility (p(FDRcorrected)=0.03 pooled, OR 1.15, 95% CI 1.03 to 1.28). In addition, the rs2476601 T allele was significantly associated with anticentromere-positive status (p(FDRcorrected)=0.02 pooled, OR 1.22, 95% CI 1.05 to 1.42). Although the rs33996649 A allele was significantly associated with SSc in the Spanish population (p(FDRcorrected)=0.04, OR 0.58, 95% CI 0.36 to 0.92), this association was not confirmed in the meta-analysis (p=0.36 pooled, OR 0.89, 95% CI 0.72 to 1.1).

CONCLUSION

The study suggests that the PTPN22 R620W polymorphism influences SSc genetic susceptibility but the novel R263Q genetic variant does not. These data strengthen evidence that the R620W mutation is a common risk factor in autoimmune diseases.