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

OP0199 RADIOMIC SIGNATURES REFLECT TREATMENT RESPONSE TO NINTEDANIB IN PRECLINICAL LUNG FIBROSIS MODEL

Background

Responses to anti-fibrotic drugs in preclinical disease models are difficult to quantify by histological analysis of single tissue sections. Quantitative in-depth analysis of imaging data, termed “radiomics”, may represent a more reliable and accurate measure of treatment response since the pathology of the whole organ is captured.

Objectives

To study the potential of µCT-derived radiomic features to reflect response to Nintedanib in the bleomycin (BLM)-induced murine model of fibrosing interstitial lung disease.

Methods

All C57BL/6J mice from both study groups were intratracheally instilled with 2 U/kg BLM on day 0 to induce lung fibrosis. Nintedanib was administered daily by gavage at 60 mg/kg for two weeks starting from day 7 (n=15). Controls received equivalent treatment with vehicle-only (n=19). Whole lung µCT scans (SkyScan 1176, Bruker) of each animal were acquired at baseline (day 0), pre-treatment (day 7), and post-treatment (day 21). The Ashcroft score was assessed on Sirius Red stained lung sections post-treatment. Lung volumes in µCTs were defined semi-automatically in MIM Software (6.9.2), followed by extraction of radiomic features with our in-house developed software Z-Rad (7.3.1). Each data set contained 1’386 features, describing image characteristics with histogram, texture, and wavelet functions. Data pre-processing involved removal of features sensitive to intra- and interobserver delineation variability (ICC<0.75), highly correlated features (Pearson’s r>0.95), and features not significantly changing between days 0 and 7 (p>0.05). Agglomerative clustering of radiomic temporal trajectories was performed on the Nintedanib group to identify distinct feature clusters. The identified feature sets were then used to plot average feature value trajectories for both study groups in each cluster. To identify features significantly different between a) Nintedanib vs. control, and b) pre- vs. post-treatment, Mann-Whitney U and Wilcoxon signed-rank tests were used, respectively. Samples were pooled from two independent experiments.

Results

Evaluation of tissue sections did not show a significant treatment-induced reduction of fibrosis with average Ashcroft scores of 3.7 (±1.2 s.d.) and 3.4 (±1.6 s.d.) in Nintedanib and control samples, respectively (p>0.05). Radiomics data analysis revealed two feature clusters in Nintedanib samples, composed of 52 features (cluster 1) and 96 features (cluster 2), the trajectories of which were then plotted for both study groups. In cluster 1, feature value trajectories significantly decreased in both Nintedanib and control group between pre-and post-treatment (p<0.001), whereas feature values in cluster 2 remained flat (p>0.05). Importantly, Nintedanib-treated mice displayed a much more pronounced feature value decrease post-treatment in cluster 1 compared to the control group (p<0.05). Here, feature values post-treatment resembled pre-disease baseline conditions in the Nintedanib group (p>0.05), whereas the control group remained significantly different from baseline (p<0.01). Cluster 1 was composed of 6 histogram, 11 texture, and 35 wavelet features, emphasizing the role of high-dimensional metrics for the detection of differences.

Conclusion

Histological quantification of lung fibrosis accounts only for a small fraction of the whole pathology in a spatially heterogeneous disease. We demonstrated that µCT-derived radiomic features identified significant differences on imaging level following Nintedanib treatment, which we could not reliably detect on tissue level using Ashcroft scoring. These findings hold great potential for the development of novel readouts for improved stratification of anti-fibrotic treatment effects in preclinical models.

Acknowledgements

This study received funding support from the Swiss Lung Association.

Disclosure of Interests

David Lauer Shareholder of: Roche (no relation to project), Employee of: Former employee of Roche (no relation to project), Janine Schniering: None declared, Hubert Gabrys: None declared, Malgorzata Maciukiewicz: None declared, Matthias Brunner: None declared, Oliver Distler Speakers bureau: Speaker fees in the area of systemic sclerosis and related complications from Bayer, Boehringer Ingelheim, Janssen, Medscape, Consultant of: Consultancies in the area of systemic sclerosis and its complications with 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: Grant/research support from Kymera, Mitsubishi Tanabe, Boehringer Ingelheim, Thomas Frauenfelder: None declared, Stephanie Tanadini-Lang: None declared, Britta Maurer Speakers bureau: Received speaker fees from Boehringer-Ingelheim as well as congress support from Medtalk, Pfizer, Roche, Actelion, Mepha, and MSD, Consultant of: Consultancies with Novartis, Boehringer Ingelheim, Janssen-Cilag. Has a patent mir-29 for the treatment of systemic sclerosis issued (US8247389, EP2331143), Grant/research support from: Had grant/research support from AbbVie, Protagen, Novartis Biomedical Research.

OP0095 SINGLE-CELL RNA SEQUENCING REVEALS POTENT ANTI-INFLAMMATORY AND ANTIFIBROTIC ACTIVITIES OF DIMETHYL-ALPHA-KETOGLUTARATE ON EXPLANTED SKIN FROM PATIENTS WITH SYSTEMIC SCLEROSIS

Background

Activated fibroblasts are the main drivers of skin fibrosis in SSc. We have recently identified dimethyl alpha-ketoglutarate (dm-aKG) as a potential repressor of myofibroblast differentiation and profibrotic activity in cultured skin fibroblasts.

Objectives

To further analyse the clinical translation of our findings by investigating the antifibrotic capacity of dm-aKG on explanted skin biopsies from SSc patients.

Methods

We cultured forearm punch skin biopsies from SSc patients (n=10) for 24h ex vivo in the presence/absence of 6 mM dm-aKG. Thereafter, skin biopsies (n=4) were dissociated into single cells using a combined mechanical-enzymatic dissociation protocol, followed by single cell (sc)RNA-seq library preparation (10x Genomics) and sequencing (Illumina, NovaSeq6000, 50,000 reads/cell). We mapped the scRNA-seq reads to the reference genome GRCh38.p13 and analysed the data with R/Bioconductor tools. We deconvoluted cell types in bulk skin transcriptomes from SSc cohorts (GSE: 45485, 59785, 9285, 32413) using human skin scRNA-seq data1. The secretion of IL-6, procollagen-1, PRO-C1 (N-terminal type I collagen pro-peptide), C1M (MMP-degradation fragment of type I collagen), and fibronectin (FBN-C) from cultured skin (n=10) was measured in supernatants by ELISA. We analysed gene and protein expression in TGFβ-activated healthy and SSc dermal fibroblasts (DF, n=10) treated or not with dm-aKG using qPCR, Western blot and ELISA. Contractile properties of DF were assessed by gel contraction assay. Traction forces generated by DF were determined by reference-free traction force microscopy.

Results

Dissociated cultured SSc skin exhibited comparable cell yield and viability in the presence (20,203; 89%) and absence (25,280; 93%) of dm-aKG, respectively. scRNA-seq skin analysis included 20,869 high quality single cell profiles segregating into 10 distinct skin cell populations (Figure 1A). This analysis demonstrated decreased proportion of fibroblasts and increased proportion of keratinocytes in dm-aKG treated skin (p<0.05; Figure 1B). Among skin cell types, skin fibroblasts exhibited the largest amount of differentially expressed genes upon dm-aKG treatment (44%, n=779, x-fold>0.5, FDR<0.05), suggesting that these cells are key targets of dm-aKG therapy in SSc skin. We identified inflammatory/cytokine signalling (hub genes IL6, STAT1) and extracellular matrix (ECM) organization (hub genes MMP1, ITGB3) as top downregulated biological processes in fibroblasts in dm-aKG treated SSc skin (Figure 1C), coinciding with a decreased abundance of proinflammatory skin fibroblast subpopulation. Specifically, these cells were identified as the main source of IL6 (Figure 1D) and were enriched in SSc skin as revealed by deconvolution analysis of skin transcriptomes. Furthermore, dm-aKG reduced the secretion of IL-6, procollagen-1 and C1M, but not pro-C1 and FBN-C, from cultured skin explants. In cultured DF, dm-aKG blocked the inflammatory (IL-6, pSTAT3), profibrotic (aSMA, Fibronectin, Procollagen-1, Pro-C1) and contractile activities, and significantly diminished traction forces exerted by DF on the matrix substrate.

Figure 1.

scRNA-seq – comparison of untreated and dm-aKG treated paired skin biopsies. (A) UMAP plot with annotated skin cells, (B) differential abundance of main skin cell types, (C) volcano plot of DE genes with top downregulated gene ontology (GO) pathways in dm-aKG treated skin fibroblasts, (D) IL6 expression in untreated (blue) and treated (pink) skin fibroblasts.

Conclusion

Dm-aKG broadly interferes with inflammatory and ECM organizational activities of skin fibroblasts in culture and in explanted skin from SSc patients. These results confirm that dm-aKG might represent a potential new therapeutic approach for efficient targeting of skin inflammation and fibrosis in SSc.

References

[1]He H et al. J Allergy Clin Immunol 2020

Acknowledgements

This work was supported by a research grant from FOREUM Foundation for Research in Rheumatology and University Medical Centre Ljubljana.

Disclosure of Interests

Blaž Burja: None declared, Dominique Paul: None declared, Reto Gerber: None declared, Sam G. Edalat: None declared, Muriel Elhai Speakers bureau: BMS, Elena Pachera: None declared, Rahel S. Zingg: None declared, Francesca Michela Pramotton: None declared, Sofie Falkenløve Madsen: None declared, Kristina Buerki: None declared, Giampietro Costanza: None declared, Michael Whitfield: None declared, Anne-Christine Bay-Jensen: None declared, Snežna Sodin-Šemrl: None declared, Matija Tomsic: None declared, Gabriela Kania: None declared, Hubert Rehrauer: None declared, 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, Ziga Rotar: None declared, Mark Robinson: None declared, Katja Lakota: None declared, Mojca Frank Bertoncelj: None declared.

POS0877 INTERSTITIAL LUNG DISEASE IN ANTI-U1RNP SYSTEMIC SCLEROSIS PATIENTS: A EUROPEAN SCLERODERMA TRIALS AND RESEARCH (EUSTAR) ANALYSIS

Background

Interstitial lung disease (ILD) has become the leading cause of mortality in systemic sclerosis (SSc) patients (1). The presence of anti-U1RNP antibodies is primarily associated with mixed connective tissue disease (MCTD), however these autoantibodies may be found in up to 10% of SSc patients (2). A recent large multicenter study showed that the presence of anti-U1RNP antibodies was independently associated with more severe disease in SSc patients. However, so far, little is known about the influence of anti-U1RNP antibodies specifically on lung outcomes in SSc-ILD patients.

Objectives

To describe the clinical features, outcomes and prognosis of anti-U1RNP SSc-ILD patients.

Methods

SSc patients with available data on their autoantibody profile were identified from the EUSTAR database. Those with ILD identified by high-resolution chest tomography (HRCT) were included for analysis. Baseline demographic and disease features were compared between anti-U1RNP positive and anti-U1RNP negative patients. For the longitudinal part in patients with repeated lung function tests, the mean annual decline in %predicted forced vital capacity (%pFVC) was compared between the two groups. Predictors associated with death of any cause or severe ILD progression, defined as a drop >10% in %pFVC/year, were evaluated in SSc-ILD patients with or without U1RNP. Mild progression was defined as a loss of 5-10% in %pFVC/year. Demographic and clinical parameters were compared between patients positive and negative for anti-U1RNP antibodies in univariate analysis. Associations between anti-U1RNP status and lung involvement were tested in multivariate logistic regression models.

Results

A total of 5676 SSc-ILD patients were included for the analysis, among which 320 (5.6%) were positive for anti-U1RNP antibodies. Mean age was 56.4±13.5 years and 4645 (81.8%) were women.

Anti-U1RNP+ SSc-ILD patients had more frequently limited cutaneous SSc (52.5% vs 39.8%, p<0.001), higher frequency of joint synovitis (20.0% vs 12.9%, p<0.001) and myositis (22.2% vs 18.2%, p<0.03) and lower incidence of scleroderma renal crisis (0.3% vs 2.0%, p=0.02).

Anti-U1RNP+ patients had a baseline lower mean %pFVC (81.1% vs 85.3%, p=0.002) and lower mean %predicted diffusing capacity for carbon monoxide (%pDLCO) (58.9% vs 60.2%, p=0.004) than anti-U1RNP- SSc-ILD patients. No significant differences were found at baseline HRCT, including lung involvement >20% (4.4 vs 4.2%%, p=0.39), or the presence of ground glass opacities (38.1% vs 33.6%, p=0.14).

A total of 2697 (50.3%) patients with SSc-ILD had at least one FVC measurement available during a mean follow-up of 20.8±20.5 months. Mean expected decline in %FVC per year was not different between U1RNP positive and negative patients (-0.21% vs -0.68%, p=0.70). Mortality or severe ILD progression was not statistically different between the two groups (35 (21.6%) vs 677 deaths (26.7%), p=0.43, and 23 (14.0%) vs 283 severe progressors (11.0%), p=0.25, respectively). Mild ILD progression was also not statistically different between the two groups (11.0% vs 10.0%, p=0.20). The proportion of patients with FVC<80% at last follow-up was similar between U1RNP positive and negative patients (50.6% vs 44.3%, p=0.13).

Conclusion

Our results from the EUSTAR database show that SSc patients positive for anti-U1RNP antibodies have more impaired baseline lung function but similar rate of progression during follow-up. This suggests that early stages might be important in RNP+ SSc-ILD patients who may require specific management and follow-up.

References

[1]Hoffmann-Vold A-M, Allanore Y, Alves M, Brunborg C, Airó P, Ananieva LP, et al. Progressive interstitial lung disease in patients with systemic sclerosis-associated interstitial lung disease in the EUSTAR database. Ann Rheum Dis. 28 sept 2020;

[2]Asano Y, Ihn H, Yamane K, Kubo M, Tamaki K. The Prevalence and Clinical Significance of Anti-U1 RNA Antibodies in Patients with Systemic Sclerosis. Journal of Investigative Dermatology. fevereiro 2003;120(2):204‑10.

Disclosure of Interests

Gonçalo Boleto: None declared, Corrado Campochiaro: None declared, Anna-Maria Hoffmann-Vold: None declared, Armando Gabrielli: None declared, Oliver Distler Consultant of: OD has/had consultancy relationship with and/or has received research funding from and/or has served as a speaker for the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Jerôme Avouac: None declared, Yannick Allanore Paid instructor for: YA reports personal fees from Actelion, Bayer, BMS, Boehringer, Curzion, Inventiva, Roche and Sanofi and research grants from Inventiva, Sanofi and Alpine Immunosciences.

POS0854 BASELINE CHARACTERISTICS OF PATIENTS WITH IMPROVEMENT OR PROGRESSION OF SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE (SSc-ILD) DURING THE SENSCIS TRIAL

Background

The course of SSc-ILD is variable, and may include periods of stability or even improvement in forced vital capacity (FVC) as well as periods of decline.

Objectives

To investigate the baseline characteristics of patients with SSc-ILD in the placebo group of the SENSCIS trial whose ILD improved or progressed over 52 weeks.

Methods

The SENSCIS trial enrolled patients with SSc with first non-Raynaud symptom in the prior ≤7 years, extent of fibrotic ILD on high-resolution computed tomography (HRCT) ≥10% and FVC ≥40% predicted. Patients who had been taking a stable dose of mycophenolate for ≥6 months were allowed to participate. We investigated the baseline characteristics of patients in the placebo group whose ILD showed improvement (absolute increase in FVC ≥5% predicted), stability (absolute decline or increase in FVC <5% predicted), progression (absolute decline in FVC ≥5% predicted), or significant progression (absolute decline in FVC ≥10% predicted) over 52 weeks. P-values based on ANOVA or Chi-squared tests were used to compare the baseline characteristics of the patients who showed improvement, stability and progression.

Results

Of 288 patients, 21 (7.3%) showed improvement, 166 (57.6%) stability, and 101 (35.1%) ILD progression, of whom 37 (12.8% of all patients) had significant ILD progression over 52 weeks. Most baseline characteristics were similar across the groups based on progression, but there were differences in DLCO % predicted (p=0.02) and in the proportion of patients taking mycophenolate (p=0.09) among patients who showed improvement, stability and progression (Table 1).

Table 1.

Baseline characteristics of patients in the placebo group of the SENSCIS trial in subgroups based on course of SSc-ILD over 52 weeks.

Improvement (n=21)Stability (n=166)Progression (n=101)Significant progression (n=37) (subset of Progression)P-value for comparison of Improvement, Stability, ProgressionAge, years55.9 ± 12.053.2 ± 12.653.1 ± 12.855.3 ± 11.80.64Female71.475.970.373.00.59Years since first non-Raynaud symptom3.7 ± 1.73.5 ± 1.73.5 ± 1.93.6 ± 1.90.81Diffuse cutaneous SSc47.649.453.556.80.78Anti-topoisomerase I antibody positive61.958.466.356.80.44High sensitivity C-reactive protein, mg/L5.1 ± 8.97.8 ± 23.05.6 ± 9.94.2 ± 4.40.62Modified Rodnan skin score9.3 ± 7.310.5 ± 8.411.9 ± 9.712.7 ± 11.30.29History of gastroesophageal reflux disease (GERD)76.272.978.278.40.62Extent (%) of fibrotic ILD on HRCT*26.4 ± 16.235.5 ± 20.436.6 ± 21.840.8 ± 23.50.12Presence of honeycombing on HRCT14.316.815.526.50.94Presence of ground glass opacities on HRCT81.086.689.784.80.51FVC % predicted77.1 ± 18.071.7 ± 17.273.3 ± 15.274.2 ± 14.80.33DLco % predicted61.5 ± 14.953.4 ± 14.851.1 ± 15.147.3 ± 14.50.02Taking mycophenolate71.448.245.535.10.09

Data are mean ± SD or % at baseline. Missing data were excluded. *Assessed visually in whole lung to nearest 5%. The assessment did not include pure (non-fibrotic) ground glass opacities.

Conclusion

These findings suggest that in the SENSCIS trial, patients who had higher DLCO % predicted or who were taking mycophenolate at baseline were less likely to show progression of SSc-ILD over 52 weeks.

Acknowledgements

The SENSCIS trial was funded by Boehringer Ingelheim. Oliver Distler was a member of the SENSCIS trial Steering Committee.

Disclosure of Interests

Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Lilly, Medscape, Merck Sharp & Dohme, Roche, Paid instructor for: Boehringer Ingelheim, Consultant of: Actelion, ARXX, Bayer, Boehringer Ingelheim, Lilly, Medscape, Merck Sharp & Dohme, Roche, Grant/research support from: Boehringer Ingelheim, Eric Hachulla Speakers bureau: Johnson & Johnson, GlaxoSmithKline, Roche-Chugai; and research funding from CSL Behring, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Consultant of: Bayer, Boehringer Ingelheim, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, Grant/research support from: GlaxoSmithKline, Roche-Chugai, Sanofi-Genzyme, Ariane Herrick Speakers bureau: Janssen, Consultant of: Arena, Boehringer Ingelheim, Camurus, CSL Behring, Gesynta, Grant/research support from: Gesynta, Teng Moua: None declared, Gabriela Riemekasten Speakers bureau: Boehringer Ingelheim, Janssen, Consultant of: Boehringer Ingelheim, Janssen, Madelon Vonk Speakers bureau: Boehringer Ingelheim, Bristol-Myers Squibb, GlaxoSmithKline, Janssen, MSD, Novartis, Roche, Consultant of: Boehringer Ingelheim, Corbus, Janssen, Grant/research support from: Boehringer Ingelheim, Ferrer, Galapagos, Janssen, Alexandra James Employee of: Alexandra James is an employee of Elderbrook solutions GmbH that is contracted by Boehringer Ingelheim, Margarida Alves Employee of: Margarida Alves is employee of Boehringer Ingelheim, Oliver Distler Speakers bureau: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Speaker fee: Bayer, Boehringer Ingelheim, Janssen, Medscape

, Consultant of: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Consultancy fee: 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

OD has/had relationships with the following companies in the area of potential treatments for arthritides in the last three calendar years:

Consultancy fee: Abbvie

, Grant/research support from: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Research Grants: Boehringer Ingelheim, Kymera, Mitsubishi Tanabe

POS0406 CHARACTERISATION OF ENHANCER RNAs IN RHEUMATOID ARTHRITIS SYNOVIAL FIBROBLASTS

Background

Rheumatoid arthritis synovial fibroblasts (SF) exhibit a prolonged histone 3 lysine 27 acetylation (H3K27ac) after stimulation with TNF, leading to a sustained inflammatory response. Enhancer RNAs (eRNAs) are short-lived non-coding RNAs transcribed from cell type-specific H3K27ac-marked enhancers that facilitate the transcription of their linked coding genes. The interrelation of eRNAs and their linked coding genes in SF has not been studied yet.

Objectives

To analyze the expression and regulation of inflammatory eRNAs in SF.

Methods

The expression of eRNAs in SF (n=9), stimulated with TNF (24h; 10 ng/µl) or left untreated, was detected by cap analysis of gene expression followed by sequencing (CAGEseq). To further investigate eRNA expression in SF, the expression of selected eRNAs and their linked coding genes (CXCL1, CCL20, IL6, CCL2, CXCL12, IL8) was analyzed by real-time PCR in SF that were stimulated with TNF (1, 3, 6, 24h; 10 ng/µl), IL1 (1, 24h; 1 ng/ml), or the Toll-like receptor agonists Pam3 (1, 24h; 1 ng/ml), pIC (1, 24h; 10 μg/ml) and LPS (1, 24h; 100 ng/µl). Samples containing the untranscribed RNA were measured in parallel. To study eRNA regulation, SF were treated with the bromodomain inhibitor I-BET (1 µM; 24h), or silenced for the histone acetyltransferases CBP and p300 by transfection of antisense LNA gapmeRs (12.5 nM) prior to stimulation with TNF (1, 24h).

Results

We have selected four potential eRNAs for CCL2 and IL8, three for CXCL12, two for IL6 and CXCL1 and one for CCL20 from CAGEseq analysis. They were located upstream (eCCL2#1, eCCL2#2, eCXCL1#2, eCXL12#3, eIL6#1 + 2, eIL8#1-4), downstream (eCCL2#3, eCCL2#4, eCXCL1#1, eCXL12#1) and intronic (eCCL20, eCXL12#2) at distances between 300 bp to 35.6 kb relative to the transcription start sites of the corresponding coding genes. None of the eRNAs was present in all nine samples in CAGEseq data sets, indicating a patient-dependent variability in eRNA expression. The majority of eRNAs were not detected in unstimulated SF, with the exception of eRNAs for CXCL12. By performing TNF time course experiments (Figure 1), we have detected different patterns of eRNAs: (a) eRNAs, that peaked at 1h (eCCL20, eIL8#2, eCCL2#1), (b) at 6h (eCXCL1#1), (c) or at 24h (eIL8#1, eIL8#3, eIL8#4, eCXCL1#2) after stimulation, (d) eRNAs that were stably expressed over the time points (eCCL2#2, 3, 4), and (e) eRNAs that were down regulated by TNF stimulation (eCXCL12#1, eCXCL12#3). All inflammatory stimuli induced eRNA expression in SF, with LPS and IL1, followed by TNF, being the most potent inducers of eRNAs. I-BET suppressed the TNF-induced expression of all eRNAs tested. The effects on the expression of eRNAs after silencing of p300 but not of CBP mirrored to a large extent those of the respective coding genes.

Figure 1.

Conclusion

In SF, the expression of some eRNAs is maintained for up to 24h, contradicting previous reports that eRNAs are short-lived. Our data suggest that different eRNAs orchestrate the early and sustained expression of cytokines and chemokines in SF. eRNA expression is controlled by p300 and BET bromodomain proteins.

Disclosure of Interests

Larissa Moser: None declared, Miranda Houtman: None declared, Oliver Distler Consultant of: Abbvie, Britta Maurer Speakers bureau: Boehringer-Ingelheim, Consultant of: Novartis, Boehringer Ingelheim, Janssen-Cilag, Grant/research support from: AbbVie, Protagen, Novartis Biomedical Research, Caroline Ospelt: None declared, Kerstin Klein Grant/research support from: Novartis Foundation for biomedical research (2019)

POS0853 EFFECTS OF NINTEDANIB ON CIRCULATING BIOMARKERS IN SUBJECTS WITH SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE (SSc-ILD)

Background

In the SENSCIS trial in subjects with SSc-ILD, nintedanib reduced the rate of decline in forced vital capacity (FVC) over 52 weeks by 44% compared with placebo.

Objectives

To investigate the effects of nintedanib on circulating biomarkers of extracellular matrix (ECM) turnover, epithelial injury and inflammation in the SENSCIS trial.

Methods

Subjects had SSc with first non-Raynaud symptom in the prior ≤7 years, extent of fibrotic ILD on high-resolution computed tomography (HRCT) ≥10% and FVC ≥40% predicted. Patients were randomised to receive nintedanib or placebo stratified by anti-topoisomerase I antibody (ATA). Blood samples were taken at baseline and at weeks 4, 24 and 52. Fold changes in adjusted mean levels of circulating biomarkers were analyzed using a linear mixed model for repeated measures. Data were log10 transformed before analysis and estimates of change from baseline were back-transformed.

Results

A total of 576 subjects received trial drug (288 nintedanib, 288 placebo). A transient increase in fold change from baseline in C-reactive protein (CRP) (a marker of inflammation) was observed in subjects who received nintedanib versus placebo at week 4. After an initial increase at week 4 in the fold change from baseline in CRP degraded by MMP-1/8 (CRPM) (a marker of ECM turnover), a trend to decreasing levels was observed in subjects who received nintedanib compared with placebo at week 52. Decreases in the fold change from baseline in collagen 3 degraded by MMP-9 (C3M) and N-terminal propeptide of type VI collagen (pro-C6) (markers of ECM turnover) were observed in subjects who received nintedanib compared with placebo from week 24 and week 4, respectively. A decrease in fold change from baseline in Krebs von den Lungen-6 (KL-6) (a marker of epithelial injury) was observed in subjects who received nintedanib versus placebo at week 52. A decrease in fold change from baseline in cancer antigen 125 (CA-125) (a marker of epithelial injury) was observed in subjects who received nintedanib versus placebo from week 4 (Figure 1).

Conclusion

Data from the SENSCIS trial suggest that nintedanib reduced circulating levels of markers of ECM turnover and epithelial injury in subjects with SSc-ILD.

Acknowledgements

The SENSCIS trial was funded by Boehringer Ingelheim. Masataka Kuwana, Toby M Maher and Oliver Distler were members of the SENSCIS trial Steering Committe.

Disclosure of Interests

Shervin Assassi Speakers bureau: On speaker bureau for Integrity Continuing Education, Consultant of: Abbvie, AstraZeneca, Boehringer Ingelheim, CSL Behring, Novartis, Grant/research support from: Boehringer Ingelheim, Janssen, Masataka Kuwana Speakers bureau: AbbVie, Asahi Kasei Pharma, Astellas, Boehringer Ingelheim, Chugai, Eisai, GlaxoSmithKline, Janssen, Nippon Shinyaku, Tanabe-Mitsubishi, Ono Pharmaceuticals, Consultant of: AstraZeneca, Boehringer Ingelheim, Corbus, Mochida

Kissei, Grant/research support from: Boehringer Ingelheim, MBL, Ono Pharmaceuticals, Christopher P Denton Speakers bureau: Boehringer Ingelheim, Janssen, Consultant of: Abbvie, Acceleron, Boehringer Ingelheim, Corbus, CSL Behring, GlaxoSmithKline, Roche, Grant/research support from: ARXX Therapeutics, GlaxoSmithKline, Horizon Therapeutics, Servier, Toby Maher Speakers bureau: Boehringer Ingelheim, Galapagos, Genentech, Consultant of: AstraZeneca, Bayer, Blade Therapeutics, Boehringer Ingelheim, Bristol-Myers Squibb, Galapagos, Galecto, GlaxoSmithKline R&D, IQVIA, Pliant, Respivant, Roche, Theravance and Veracyte, Grant/research support from: AstraZeneca, GlaxoSmithKline, Claudia Diefenbach Employee of: Claudia Diefenbach is an employee of Boehringer Ingelheim, Carina Ittrich Employee of: Carina Ittrich is an employee of Boehringer Ingelheim, Martina Gahlemann Employee of: Martina Gahlemann is an employee of Boehringer Ingelheim, Oliver Distler Speakers bureau: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Speaker fee: Bayer, Boehringer Ingelheim, Janssen, Medscape, Consultant of: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Consultancy fee: 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

OD has/had relationships with the following companies in the area of potential treatments for arthritides in the last three calendar years:

Consultancy fee: Abbvie, Grant/research support from: OD has/had relationships with the following companies in the area of potential treatments for systemic sclerosis and its complications in the last three calendar years:

Research Grants: Boehringer Ingelheim, Kymera, Mitsubishi Tanabe,

POS0140 PREDICTING OUTCOMES IN SYSTEMIC SCLEROSIS: STRATIFICATION BY AUTO-ANTIBODIES OUTPERFORMS CUTANEOUS SUBSETTING IN THE EUSTAR COHORT

Background

Risk-stratification is key in a heterogeneous disease like systemic sclerosis (SSc). Until now, SSc patients are stratified according to the extent of skin involvement into limited cutaneous, diffuse cutaneous and sine scleroderma subtypes. However, this classification remains inaccurate to capture disease heterogeneity. Autoantibodies are found in more than 90% of the patients and can be detected before onset of the disease. Among them, three predominant and specific antibodies are used: anti-centromere, anti-Scl70 and RNA polymerase III antibodies.

Objectives

To compare the performances of stratification into LeRoy’s cutaneous subtypes versus autoantibody status in SSc versus combination of cutaneous subtypes and autoantibodies status.

Methods

Patients from the EUSTAR database were classified either as (i) limited cutaneous, diffuse cutaneous or sine scleroderma (based on the recording made by the treating physician) or (ii) according to autoantibodies with the following subclassifications: (1) no specific autoantibodies, (2) isolated ANA, (3) anti-centromere antibodies, (4) anti-Scl70 antibodies and (5) anti-RNA polymerase III antibodies or (iii) according to combination of cutaneous subset and auto-antibodies. The respective performance of each model to predict overall survival (OS), progression-free survival (PFS), disease progression and different organ involvements was assessed and the three models were compared by the area under the receiver operating characteristic curve (AUC 95%CI) and the net reclassification improvement (NRI). Missing data were imputed through multiple imputation using chain equations.

Results

In all, 10’711 patients were included: 84.6% females, mean age: 54.4±13.8 years, mean disease duration: 7.9±8.2 years. In the prospective analysis (n= 6’467 to 7’829 according to the outcome), after a mean follow-up of 56 months and a mean of three visits per patient, we did not identify any difference in AUC between the cutaneous-based model and the antibody-based model for prediction of OS and disease progression. However, the NRI showed a significant improvement in prediction of OS (0.57 [0.46-0.71] vs. 0.29 [0.19-0.39]) and disease progression (0.36 [0.29-0.46] vs. 0.21 [0.14-0.28]) at 4 years using the antibody-based model. Regarding prediction of each organ involvement in longitudinal analyses, the antibody-based model showed better performance than the cutaneous-one for renal crisis (AUC: 0.719 [0.696-0.742] vs. 0.664 [0.643-0.685]), with the highest association observed with anti-RNA polymerase III (OR: 7.47 [1.63-34.24], p= 0.010). Similarly, the antibody-based model was better than the cutaneous model in predicting lung fibrosis (AUC 0.719 [0.715-724] vs. 0.653 [0.647-0.659]) and restrictive lung fibrosis (AUC 0.759 [0.749-0.766] vs. 0.711 [0.701-0.721]) which were both associated with anti-Scl70 antibodies (OR: 9.29 [8.17-10.55] and 7.92 [5.37-11.69], respectively, p<0.0001 for both). Although there was no difference in the AUC to predict digital ulcers, NRI showed an improvement using the antibody-based model (0.31 [0.29-0.33] vs. 0.24 [0.22-0.26]) with the highest association with anti-Scl70 antibodies (OR: 3.57 [2.68-4.75], p<0.0001). The two models had similar performances in assessing occurrence of intestinal involvement, heart dysfunction or elevated sPAP. Combining both antibody status and cutaneous subtype did not improve the performance of our models. In the exploratory analysis, there was no change using modified Rodnan skin score to define cutaneous form.

Conclusion

Auto-antibody status outperforms the common cutaneous subsetting to risk-stratify SSc patients in the EUSTAR cohort. This easily performed subclassification using autoantibodies specific status can be used by the clinicians to risk-stratify their patients and to adapt disease monitoring in routine practice.

Disclosure of Interests

Muriel Elhai Speakers bureau: BMS outside of the submitted work, Marouane Boubaya: None declared, Nanthara Sritharan: None declared, Alexandra Balbir-Gurman: None declared, Elise Siegert: None declared, Eric Hachulla: None declared, Jeska de Vries-Bouwstra: None declared, Gabriela Riemekasten: None declared, Jörg H.W. Distler: None declared, Douglas Veale: None declared, Edoardo Rosato: None declared, Francesco Del Galdo: None declared, Fabian A Mendoza: None declared, Daniel Furst Consultant of: Abbvie, Novartis, Pfizer, R-Pharm, Grant/research support from: Emerald, Kadmon, PICORI, Pfizer,Prometheus, Talaris, Mitsubishi, Carlos De la Puente Bujidos: 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 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, Coralie Bloch-Queyrat: None declared, Yannick Allanore Consultant of: Actelion, Bayer, BMS, Boehringer-Ingelheim, Inventiva, Roche, Sanofi-Aventis, Grant/research support from: Actelion, Bayer, BMS, Boehringer-Ingelheim, Inventiva, Roche, Sanofi-Aventis

POS0878 ASSOCIATION OF A LOWER BODY-MASS INDEX WITH THE PRESENCE OF ILD IN SSc PATIENTS – A DERIVATION PREDICTION STUDY USING DECISION TREE-BASED ALGORITHMS

Background

Upper-gastrointestinal involvement (GI) is associated with more severe interstitial lung disease in patients with systemic sclerosis (SSc-ILD). However, there are many unexplored GI risk factors for the presence of SSc-ILD which could be potentially revealed by machine learning algorithms.

Objectives

The aim of our study was to identify GI related risk factors for the presence of SSc-ILD using machine learning algorithms based on decision trees (DT).

Methods

Data of the last follow-up visit from consecutive patients fulfilling the 2013 ACR/EULAR SSc classification criteria recorded in our local EUSTAR registry were used for this study.

The study outcome was the presence of SSc-ILD on high-resolution computed tomography.

Two sets of predictors were identified based on their potential association with GI. The first set contains the following variables available in the EUSTAR registry: esophageal symptoms (dysphagia and reflux), stomach symptoms (early satiety, vomiting), intestinal symptoms (diarrhea, bloating and constipation), malabsorption syndrome, body-mass-index (BMI) and proton pump inhibitor therapy, calcium channel blocker therapy and immunosuppressive therapy. In the second set, we replaced the first three EUSTAR variables of the first set with the scales of the UCLA Gastrointestinal Tract Questionnaire 2.0 (UCLA-GIT).

Of these two sets, the most important variable was selected using three different DT-based algorithms: (1) recursive partitioning and regression trees (RPART) –which uses trees to build decision rules, (2) random forest (RF) - an ensemble of DT built in parallel, and (3) gradient boosting machines (GBM) - an ensemble of DT built sequentially. The selected variables were eventually integrated with established predictors for presence of SSc-ILD (diffuse cutaneous subset, anti-Scl-70 positivity, male gender, forced vital capacity [FVC] and diffusion capacity of the lung for carbon monoxide-single breath [DLCO-SB]) into final prediction models for SSc-ILD presence using RPART, RF and GBM respectively. Their performance was evaluated by C-statistics. The importance of the newly detected predictor was assessed by variable importance plots (VIPs).

Results

We included in our study 334 patients. The median age was 61 [IQR: 50-69] years, 59 (17.7%) were males and 266 (79.6%) had limited cutaneous SSc. Median BMI was 23 [IQR: 21-26] kg/m2, 133 (39.8%) of the patients had SSc-ILD, median FVC% 93 [IQR: 81-105], DLCO 72.5 [56-84] and. Of the UCLA-GIT scales the highest score was for the distension/bloating with a value of 0.50 [IQR: 0-1.24]. Regarding medications, 167 (50%) patients were exposed to PPI, 39 (11.7%) to CCB and 105 (31.4%) to immunosuppressive therapy.

The BMI was deemed by all three algorithms as the most important predictor of SSc-ILD among both sets of GI related variables (Figure 1A-F). The final model, which included established risk factors for presence of ILD and the BMI, supported the importance of BMI in predicting the SSc-ILD. The VIPs obtained by GBM also ranked the BMI as the most important predictor.

Figure 1.

Tree-based algorithms revealing the importance of BMI for prediction of SSc-ILD. Panels A, B and C are variable importance plots (VIPs), which reveals the most important GI-predictor for occurrence of SSc-ILD in the EUSTAR set– the predictor with the highest relative importance is the most important predictor. Panels D, E and F are VIPs reveals the most important GI-predictor for occurrence of SSc-ILD in the UCLA-GIT set.

A lower BMI was associated with presence of SSc-ILD (C-statistics for the RPART, RF and GBM models were 0.79, 0.70 and 0.76, respectively, corresponding to a fair accuracy). As expected, also a lower FVC, and DLCO-SB, and a positivity for Scl-70 ab were associated with presence of ILD.

Conclusion

Lower BMI is a novel promising predictor for the presence of ILD, which should be confirmed in additional analyses.

Disclosure of Interests

Alexandru Garaiman: None declared, Carina Mihai Speakers bureau: MEDtalks Switzerland, Mepha, Rucsandra Dobrota Consultant of: Actelion and Boehringer-Ingelheim, Grant/research support from: Articulum Fellowship, Pfizer, Actelion, Cosimo Bruni Speakers bureau: Eli-Lilly, Actelion, Boehringer-Ingelheim, Grant/research support from: Gruppo Italiano Lotta alla Sclerodermia (GILS), European,, Scleroderma Trials and Research Group (EUSTAR), Scleroderma Clinical Trials Consortium (SCTC), AbbVie, Muriel Elhai: None declared, Suzana Jordan: None declared, Lea Stamm: None declared, Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Jansen, Roche, Merck Sharp & Dohme, ARXX Therapeutics, Lilly and Medscape, Consultant of: Actelion, Boehringer Ingelheim, Jansen, Roche, Merck Sharp & Dohme, ARXX Therapeutics, Lilly and Medscape, Grant/research support from: Boehringer Ingelheim, Bayer, Oliver Distler Speakers bureau: Bayer, Boehringer Ingelheim, Medscape, Novartis, Roche, Pfizer, Roche, Sanofi, Consultant of: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon, Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Prometheus Biosences, Roche, Roivant, Topadur and UBC, Lilly, Pfizer, Grant/research support from: Kymera, Mitsubishi Tanabe, Mike O. Becker Speakers bureau: Mepha, MSD, Novartis, GSK, Bayer and Vifor

POS0892 IDENTIFICATION OF DEFINED MICROANGIOPATHIC CHANGES IN NAILFOLD CAPILLAROSCOPY IMAGES OF PATIENTS WITH SYSTEMIC SCLEROSIS USING A VISION TRANSFORMER MODEL – A MONOCENTRIC IMPLEMENTATION AND VALIDATION COHORT STUDY

Background

An accurate assessment of nailfold capillaroscopy (NFC) images has great importance in the diagnosis and prognosis of systemic sclerosis (SSc). To overcome some of the inherent problems with NFC image analysis (operator/observer bias, time requirements), there is an interest to automate and standardize NFC image assessment using computer vision algorithms, such as the Vision Transformer (ViT), which are based on recent advances in deep learning.

Objectives

Our aims were (1) to implement and assess the performance and the reliability of ViT in detecting changes on NFC images, and (2) to compare the performance of ViT to that of practicing rheumatologists.

Methods

For this study, we used NFC images of patients with SSc enrolled in our European Scleroderma Trials and Research group (EUSTAR) and Very Early Diagnosis of Systemic Sclerosis (VEDOSS) local registries. Concretely, we included routine NFC images (all NFC images available – digit II to V of both hands-, irrespective of any image artefacts) of patients aged ≥ 18 years with visits between 2012 and 2021, who fulfilled either the 2013 American College of Rheumatology / European League Against Rheumatism classification criteria for SSc (established disease) or the preliminary criteria for VEDOSS (mild/early disease).

ViT was trained to identify the following NFC signs of microangiopathy: enlarged capillaries (apex diameter of the capillary > 20 µm, and < 50µm), giant capillaries (> 50 µm), loss of capillaries (< 7 capillaries/mm), and microhaemorrhages. Absence of any of these signs was considered as being a “normal NFC”, while presence of any of these signs was seen as an abnormal NFC image. Its performance was evaluated in a cross-fold (k = 5) validation setting, and the gold standard was the treating physician. Area under the ROC curve (AUC) was used as indicator of the performance. Considered cut-offs for AUC were 90-100% - excellent, 80-89.9% - good, 70-79.9% - fair, 60-69.9% - poor, 50-59.9% - fail. From the first cross-fold, a randomly sampled reliability set was created which was used to compare the NFC assessment performance of four rheumatologists (three invited and trained annotators and the treating physician) with that of of ViT.

Results

We analysed 17,126 NFC images of 234 EUSTAR patients (14.6% males, 67.8% limited cutaneous SSc, median age 57 years, median disease duration 9 years) and 55 VEDOSS patients (92.7% females, median age 44 years, median time elapsed since first Raynaud’s phenomenon 5 years). ViT had fair to excellent performance in identifying the different NFC changes across all five folds (of 3443 NFC images each), with an area under the ROC curve ranging from 78.59% to 90.4% (Figure 1a).

Figure 1.

Performance of the ViT: (a) AUCs values for ViT in diagnosing the respective feature on NFC image. (b) Sensitivity / specificity trade-off across the images in the reliability set. The blue lines show the ROC curves corresponding to the ViT predictions, with ViT’s AUC, “optimal” sensitivity and specificity shown in the box. Also shown are the point performances of each of the four annotators, with performances below the blue line indicating lower performance than ViT.

In the reliability set (see Figure 1b), we observed highest performance for diagnosing giant capillaries (AUC =92.89%) followed by identification of enlarged capillaries (AUC = 91.7%). Good AUCs were seen in depicting capillary loss (AUC = 87.3%), microhemorrhages (AUC = 85.9%) and the abnormal/normal NFC classification (AUC = 84.7%). The rheumatologists had generally higher performance in assessing NFC images. However, ViT outperformed two rheumatologists with different experience in classifying capillary loss and enlarged capillaries, respectively.

Conclusion

ViT is a modern, well performing and readily available AI model to assess signs of microangiopathy on NFC images acquired during routine practice.

Disclosure of Interests

Alexandru Garaiman: None declared, Farhad Nooralahzadeh: None declared, Carina Mihai Speakers bureau: MEDtalks Switzerland, Mepha, Nikitas Gkikopoulos: None declared, Nicolas Perez Gonzalez: None declared, Mike O. Becker Speakers bureau: Mepha, MSD, Novartis, GSK, Bayer and Vifor, Oliver Distler Speakers bureau: Bayer, Boehringer Ingelheim, Medscape, Novartis, Roche, Pfizer, Roche, Sanofi, Consultant of: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, ChemomAb, Corbus, CSL Behring, Galapagos, Glenmark, GSK, Horizon, Inventiva, iQvia, Kymera, Lupin, Medac, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Prometheus Biosences, Roche, Roivant, Topadur and UBC, Lilly, Pfizer, Grant/research support from: Kymera, Mitsubishi Tanabe, Michael Krauthammer Speakers bureau: Oncobit, Britta Maurer Speakers bureau: Boehringer-Ingelheim, Medtalk, Pfizer, Roche, Actelion, Mepha, and MSD, Consultant of: Novartis, Boehringer Ingelheim, Janssen-Cilag, Grant/research support from: AbbVie, Protagen, Novartis Biomedical Research

POS0063 PROGRESSIVE INTERSTITIAL LUNG DISEASE IS FREQUENT ALSO IN LATE DISEASE STAGES IN SYSTEMIC SCLEROSIS PATIENTS FROM EUSTAR

Background

Short disease duration is a predictor for progressive systemic sclerosis-associated interstitial lung disease (SSc-ILD), but studies assessing ILD progression in later disease stages are lacking. To individually tailor management of ILD in SSc patients in clinical practice it is, however, of high importance to understand disease behaviour also in patients with late disease.

Objectives

Analyse ILD progression in SSc-ILD patients from the EUSTAR cohort segregated by subgroups of disease duration.

Methods

We segregated SSc-ILD patients into four categories of disease duration (≤3 years, >3- ≤7 years, >7- ≤15 years and >15 years after onset of Raynaud’s phenomenon). We assessed progressive ILD, defined as forced vital capacity (FVC) decline >10% or FVC decline ≥10% and FVC decline 5–10% and diffusing capacity of the lungs for carbon monoxide (DLCO) decline ≥15% (composite decline) over the first and second 12+/-3 months period after first registration (baseline) into EUSTAR. Clinical characteristics, pulmonary involvement, treatment at first registration and ILD progression were evaluated by descriptive statistics.

Results

In total, 2258 SSc-ILD patients were included, with 469 (20.8%) having a disease duration ≤3 years, 550 (24.4%) between >3- ≤7 years, 752 (33.3%) between >7- ≤15 years and 488 (21.6%) of >15 years (Table 1). Baseline characteristics and treatment patterns differed between the four subgroups, with more younger male patients with diffuse cutaneous SSc, anti-topoisomerase I antibody and higher Rodnan skin score having ≤3 years disease duration. Lung function with FVC and DLCO were similar between the four groups (Table 1). Notably, in the first and second 12+/-3 months periods after first registration in the EUSTAR database, there were no significant difference in FVC decline >10% or composite FVC and DLCO decline within the four subgroups. For example, patients with disease duration >7- ≤15 years and >15 years frequently showed disease progression of FVC >10%: 41/347 (11.8%) and 32/228 (14%) compared to 38/244 (15.6%) and 33/273 (15.6%) for disease duration ≤3 years and >3- ≤7 years (P=0.529), respectively (Figure 1).

Table 1.

Demographics and baseline clinical characteristics of EUSTAR patients

Disease duration≤ years(n=460)>3- ≤7 years(n=550)>7- ≤15 years(n=752)>15 years(n=488)p-valueAge, years (SD)55 (13.5)55 (14.1)57 (13.1)61 (11.5)<0.001Male, n (%)123 (26.2)115 (20.9)112 (14.9)38 (7.8)<0.001DcSSc, n (%)228 (56.4)262 (45.8)311 (45.4)163 (31.2)<0.001ATA, n (%)236 (53.4)293 (55.9)374 (52.8)218 (48.0)0.099mRSS, mean (SD)12.3(10.1)10.4 (8.3)9.4 (8.1)8.7 (7.7)<0.001GERD, n/N (%)273 (58.7)353 (64.4)482 (64.4)344 (71.2)0.001ESR, mean (SD)26.9(21.7)24.2 (19.5)26.2 (19.9)28.3 (21.2)0.022MMF, n/N (%)33 (16.6)43 (25.2)37 (20.4)14 (9.3)0.002MTX, n/N (%)19 (10)17 (10.1)19 (10.6)8 (5.2)0.296Any IS, n/N (%)81 (38.6)89 (47.1)82 (40.8)46 (28.7)0.006FVC % pred, mean (SD)86 (20.9)87 (21.6)86 (21.4)87 (22.8)0.770DLCO % pred, mean (SD)58 (19.3)59 (19.3)59 (19.9)58 (19.7)0.405NYHA class 3&4, n (%)84 (18.6)78 (14.6)125 (17.5)22.6 (7.0)0.090Figure 1.

FVC decline >10% and composite FVC and DLCO decline in the first and second 12+/-3 months within the four subgroups segregated by disease duration

Conclusion

It was long believed that ILD burned out in late disease stages. In our analysis of ILD progression by four disease duration categories, we showed that ILD frequently progressed also in late disease stages. This has important implications for clinical practise, as SSc patients need to be regularly monitored for ILD progression independent of disease duration.

Disclosure of Interests

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, Cathrine Brunborg: None declared, Paolo Airò Speakers bureau: Bristol-Myers-Squibb, Boehringer Ingelheim, Consultant of: Bristol-Myers-Squibb, Grant/research support from: Bristol-Myers-Squibb, Roche, Jannsen, CSL Behring, Lidia P. Ananyeva Speakers bureau: Boehringer Ingelheim, Grant/research support from: Boehringer Ingelheim, László Czirják Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Actelion (now GSK), MSD, Novartis, Pfizer, Roche, Lilly, Grant/research support from: Boehringer Ingelheim, Actelion (now GSK), MSD, Novartis, Pfizer, Serena Guiducci: None declared, Eric Hachulla Speakers bureau: GSK, Roche-Chugai, Johnson & Johnson, Boehringer Ingelheim, Consultant of: CSL Behring, GSK, Roche-Chugai, Johnson & Johnson, Boehringer Ingelheim, Grant/research support from: CSL Behring, Boehringer Ingelheim, GSK, Roche-Chugai, Sanofi Genzyme, Mengtao Li: None declared, Carina Mihai Speakers bureau: MEDtalks Switzerland, Mepha, Grant/research support from: Roche, Boehringer Ingelheim, Janssen, Gabriela Riemekasten Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Petros Sfikakis Consultant of: Boehringer Ingelheim, Gabriele Valentini Consultant of: Boehringer Ingelheim, Grant/research support from: Sanofi/BMS, Otylia Kowal-Bielecka Speakers bureau: Boehringer Ingelheim, Novartis, Pfizer, Gilead Sciences, Janssen-Cilag, MEDAC, MSD, Abbvie, Sandoz, Consultant of: Boehringer Ingelheim, Health Care system Navigator, CSL Behring, MSD, Novartis, Grant/research support from: CSL Behring, Boehringer Ingelheim, Abbvie, Roche, MEDAC, Yannick Allanore Speakers bureau: Boehringer, Abbvie, Consultant of: Boehringer, Bayer, Astra-Zeneca, Prometheus, Sanofi, Genentech/Roche, Boehringer, Grant/research support from: Alpine Immunosciences, OSE Immunotherapeutics, Medsenic, 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

POS0426 BRD3 REGULATES THE INFLAMMATORY AND STRESS RESPONSE IN RHEUMATOID ARTHRITIS SYNOVIAL FIBROBLASTS

Background

Small molecule inhibitors targeting members of the bromodomain and extra-terminal (BET) protein family (BRD2, BRD3, BRD4) have anti-inflammatory properties in rheumatoid arthritis (RA). BET proteins are readers of acetylated histone side chains and activators of transcription. BRD3 is an understudied member of BET proteins.

Objectives

To analyse individual functions of BET proteins and mechanisms underlying BET inhibition in RA synovial fibroblasts (SF).

Methods

The expression of BRD2, BRD3, and BRD4 was silenced by lenti-viral transduction followed by TNF stimulation (10 ng/µl, 24h). Silencing was confirmed by Western blotting. Transcriptomes were determined by RNA-seq (Illumina NovaSeq 6000, n=3). Pathway enrichment analysis for KEGG and Reactome databases was conducted with significantly affected genes (± fold change > 1.5, FDR < 0.05). SF were treated with I-BET (1 µM) and TNF (10 ng/µl, 24h). Autophagy was evaluated by Western blotting using the conversion of LC3B as a marker (n=9). I-BET-induced global changes on post-translational histone modifications were analysed by mass spectrometry (Mod Spec, Active Motif; n=2; 120h protocol) and Western blotting (H3K27ac, H3K18ac, total acH3; n=7; 24h and 120h protocol). For this purpose, SF were stimulated with I-BET (1 µM) for 24h, and either co-stimulated with TNF (24h protocol), or washed with PBS, followed by a 24h stimulation with TNF 120h after the I-BET treatment (120h protocol).

Results

Silencing of BRD2 and BRD4 in SF was, in contrast to silencing of BRD3, associated with high levels of cell death, and therefore not analyzed further. We detected 257 and 324 differentially expressed genes (DEG) that were affected by BRD3 silencing in unstimulated and TNF-stimulated SF, respectively. 105 DEG overlapped between the two groups. DEG were enriched in inflammatory pathways such as “TNF signaling pathway”, “rheumatoid arthritis”, “Toll-like receptor cascades”, “MAPK signaling pathway”, “IL-17 signaling pathway” and “signaling by interleukins”. Furthermore, pathway enrichment analysis suggested a role for BRD3 in different stress-associated pathways, including “DNA repair”, “chaperone mediated autophagy”, “cellular responses to stress”, and “autophagy”. In line with the pathway enrichment analysis, I-BET induced levels of LC3B-II in unstimulated (4.3 fold, p=0.07) and TNF-stimulated (2.9 fold, p=0.07) SF, indicating a role of BET proteins in the regulation of autophagy. To further study the mechanisms underlying I-BET-mediated suppression of gene expression, we analyzed potential effects of I-BET on histone modifications. Mod Spec analysis indicated that I-BET induced profound changes in chromatin modifications, with a global reduction of acetylation on different histone side chains. We confirmed some of these differences in independent samples. I-BET treatment reduced mean TNF-induced levels of total acH3 by 25.2% (120h; p=0.0303), of H3K18ac by 35.3% (24h; p=0.0288) and by 29.3% (120h; p=0.0373) and of H3K27ac by 41.7% (120h; p=0.0587).

Conclusion

BRD3 acts as an upstream regulatory factor that integrates the response to inflammatory stimuli and stress conditions in SF. Our data suggest that BET inhibitors do not only prevent the reading of acetylated histone side chains, but also directly affect the chromatin structure, in particular by downregulating global levels of histone acetylation.

Disclosure of Interests

Malgorzata Maciukiewicz: None declared, Larissa Moser: None declared, Monika Krosel: None declared, Tanja Seifritz: None declared, Matija Tomsic: None declared, Britta Maurer Speakers bureau: Boehringer-Ingelheim, Consultant of: Novartis, Boehringer Ingelheim, Janssen-Cilag, Grant/research support from: AbbVie, Protagen, Novartis Biomedical Research, Oliver Distler Consultant of: Abbvie, Caroline Ospelt: None declared, Kerstin Klein Grant/research support from: Novartis Foundation for biomedical research (2019)

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

POS0900 SYSTEMIC PHARMACOLOGICAL TREATMENT OF DIGITAL ULCERS IN SYSTEMIC SCLEROSIS: A SYSTEMATIC LITERATURE REVIEW

Background

Digital ulcers (DU) are common in systemic sclerosis (SSc) and associated with reduced survival, high morbidity and poor quality of life. Recommendations have previously been proposed for DU management yet there remains significant unmet patient need. Therefore the World Scleroderma Foundation DU Working Group intends to develop practical evidence based recommendations for DU management.

Objectives

To summarise data on efficacy and safety of systemic treatments for SSc DU.

Methods

A systematic literature review to May 2021 was performed. PubMed, MEDLINE, Embase, Web of Science, Cochrane Library, Emcare (OVID) and Academic Search Premier databases were searched for original studies on adult patients with SSc DU treated with systemic pharmacological treatment. Based on the PICO framework, eligibility criteria were defined and references were independently screened by two reviewers. Reviewers independently assessed the full text of eligible articles. Owing to interstudy heterogeneity narrative summaries were used to present data.

Results

The search strategy identified 1271 references of which 45 eligible articles were included. Seventeen studies were randomised placebo controlled trials (RCT) pertaining to PDE5 antagonists (PDE5i) (n=3), endothelin receptor antagonists (ERA) (n=3), prostanoids (n=7), antiplatelet agents (n=1) and other (n=3) (Table 1). No head to head RCT was retrieved. All other studies were observational studies (OBS). Studies were highly heterogeneous with application of differing definition of DU, variable study eligibility criteria, clinical endpoints and follow up periods. This limited the calculation of effect size and comparison across studies.

Table 1.

Characteristics of placebo controlled randomised controlled trials

Author YearInterventionnFollow upOutcomeFavours interventionHachulla 2016Sildenafil8312 weeksTime to DU healing-Andrigueti 2017Sildenafil4112 weeksDU healing+Shenoy 2010Tadalafil246 weeksNew DU+Khanna 2016Macitentan55416 weeksNew DU-Matucci-Cerinic 2011Bosentan18832 weeksNew DU Time to healing of DU+-Korn 2004Bosentan12212 weeksNew DU+Kawald 2008IV iloprost5012 monthsDU healing-Wigley 1992IV iloprost3510 weeksDU healing+Wigley 1994IV iloprost739 weeks50% reduction in DU score-Seibold 2017Treprostinil14820 weeksNet DU burden-Vayssairat 1999Beraprost10725 weeks% patients with new DU-Denton 2017Selexipag7412 weeksNumber of new DU DU healing-Lau 1993Cicaprost334 weeksNumber of DU-Abou-Raya 2008Atorvastatin844 monthsNumber of DU+Au 2010Cyclophosphamide15812 monthsNumber of patients with DU-Beckett 1984Dipyridamole / aspirin412 yearsChange in general SSc-Nagaraja 2019Riociguat1732 weeksNet DU burden-

+ significantly superior to comparator

- non significantly different from comparator

DU: digital ulcers IV: intravenous SSc: systemic sclerosis

Several RCT found improved DU healing with treatment: two with PDE5i, one with iloprost and one showed improved DU healing and prevention with atorvastatin. Two RCT demonstrated effective prevention of new DU with bosentan. OBS studies with a total of 621 patients showed variable improvements in the healing of DU with CCB, PDE5i, ERA, statins, N-acetylcysteine, prostanoids and ketanserin and prevention of new DU with ERA.

Regarding safety, all treatments were generally tolerated with few serious adverse events. Treatment was ceased in 6.25-17.5% of patients in RCT due to treatment related side effects.

Conclusion

Despite several studies assessing the efficacy and safety of systemic pharmacological treatment of SSc DU, it is not possible to draw solid conclusions due to study heterogeneity. Small RCT have shown treatment benefit with PDE5i, iloprost and atorvastatin. Large studies demonstrated effective prevention of new DU with bosentan. Our results highlight the urgent need for improved clinical trial design to generate more robust evidence and novel therapies to guide the management SSc DU.

Acknowledgements

This work was supported by the World Scleroderma Foundation.

Disclosure of Interests

Nancy Maltez: None declared, Laura Ross: None declared, Michael Hughes Speakers bureau: Actelion Pharmaceuticals, Eli Lilly and Pfizer outside of the submitted work., Jan Schoones: None declared, Murray Baron: None declared, Lorinda Chung Consultant of: Eicos, Corrado Campochiaro: None declared, Yossra A. Suliman: None declared, Dilia Giuggioli: None declared, Pia Moinzadeh Speakers bureau: Actelion Pharmaceuticals, Boehringer Ingelheim, Yannick Allanore: None declared, Christopher P Denton: None declared, Oliver Distler Speakers bureau: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur., Consultant of: Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur., Grant/research support from: Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143), Abbvie, Acceleron, Alcimed, Amgen, AnaMar, Arxx, AstraZeneca, Baecon, Blade, Bayer, Boehringer Ingelheim, Corbus, CSL Behring, Galapagos, Glenmark, Horizon, Inventiva, Kymera, Lupin, Medscape, Miltenyi Biotec, Mitsubishi Tanabe, MSD, Novartis, Prometheus, Roivant, Sanofi and Topadur., Tracy Frech: None declared, Daniel Furst: None declared, Dinesh Khanna Consultant of: Eicos Sciences Inc, Janssen, Thomas Krieg: None declared, Masataka Kuwana Speakers bureau: Speaker fees from AbbVie, Asahi Kasei Pharma, Astellas, Boehringer Ingelheim, Chugai, Eisai, GlaxoSmithKline, Janssen, Nippon Shinyaku, Ono Pharmaceuticals, Tanabe-Mitsubishi, and consultancy fees from AstraZeneca, Boehringer Ingelheim, Corbus, Kissei, Mochida outside of the submitted work., Marco Matucci-Cerinic: None declared, Janet Pope: None declared, Alessia Alunno: None declared

POS0880 CHARACTERISTICS AND DISEASE COURSE OF UNTREATED PATIENTS WITH INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS

Background

Interstitial lung disease (ILD) is the leading cause of death in systemic sclerosis (SSc). European consensus guidelines consider that some patients with mild disease might not need pharmacological treatment (1). Up to now, the disease characteristics and the disease course of non-treated SSc-ILD patients remain unknown.

Objectives

To describe disease characteristics and the disease course of non-treated SSc patients with ILD.

Methods

We included patients from our local EUSTAR center registered since 2008, who had a diagnosis of ILD on high-resolution computed tomography (HRCT) and available data on pulmonary function tests and treatment. Longitudinal study included patients with at least one follow-up visit. Patients were classified as treated if they received a potential ILD modifying drug (immunosuppressive therapy or nintedanib). Treated and untreated patients were compared at baseline. Progression in the untreated group was defined as (i) forced vital capacity (FVC) decline from baseline of ≥10% or (ii) an FVC decline of 5-9% in association with a decline in diffusing capacity for carbon monoxide (DLCO) of ≥15%, or (iii) start of a ILD modifying treatment during follow-up. In the untreated group, patients who progressed at any time were compared with patients with stable disease during follow-up. Multivariable logistic regression was performed to identify (i) factors associated with non-prescription of a treatment in ILD patients at baseline and (ii) factors associated with progression in the untreated patients. Covariates were selected according to clinical experience and literature evidence.

Results

Among 496 patients included in our cohort, 209 (42%) patients had ILD on baseline HRCT: 48/209 (23%) were males, median disease duration 8 [IQR: 4-12] years, 67/209 (32%) of diffuse cutaneous subset and 86/209 (41%) had anti-Scl70 antibodies.

Among them, 142/209 (68%) did not receive any potentially ILD modifying treatments at baseline. Untreated patients were older (59 vs. 54 years), had a longer disease duration, were less frequently smokers, had more frequently anticentromere antibodies and lower levels of CRP. They had more frequently a limited extent (<20%) of lung fibrosis on HRCT, higher FVC (97.02 (±19.76) % vs. 78.29 (±19.23) %) and DLCO (72.10 (±18.97) % vs. 57.57 (±20.81) %), better performances in the 6 minute walking test and were less frequently treated with low dose of glucocorticoids.

In multivariable logistic regression, older age (OR: 1.04 [1.01-1.08], p=0.021), a less extensive disease on HRCT (OR: 0.29 [0.09-0.90], p=0.037) and less frequent prescription of glucocorticoids (OR: 0.036 [0.12-0.92], p=0.037) were independently associated with absence of ILD modifying treatment prescription in our cohort.

From the 142 untreated patients, 96 were followed-up for 64 [39-96] months. Of these, 56 (58%) patients showed progression of ILD, of whom 43 progressed by lung function parameters. Of these 56 patients, 31 (56%) progressed in the first 18 months. Diffuse cutaneous subtype (OR: 5.26 [1.26-27.62], p=0.031), shorter disease duration (OR: 0.95 [0.90-0.99], p=0.035) and oesophageal symptoms (reflux, dysphagia) (OR: 3.51 [1.12-12.18], p=0.036) at baseline were independent predictors of progression during follow-up in untreated patients.

Conclusion

A considerable number of SSc patients with ILD are not treated in clinical practice, in particular patients with limited cutaneous SSc, older age and an overall less extensive ILD. However, during a follow-up of 5 years, contrary to the common belief, about 60% of the untreated patients showed ILD-progression. The diffuse cutaneous subtype, shorter disease duration and oesophageal symptoms at baseline characterized these patients. With the development of effective and safe therapies for SSc-ILD, our results support a change in practice for selecting patients for treatment.

References

[1]Hoffmann-Vold A-M, et al. The Lancet Rheumatology. 2020;2(2):e71-e83.

Disclosure of Interests

Moritz Scheidegger: None declared, Alexandru Garaiman: None declared, Carina Mihai Speakers bureau: Boehringer-Ingelheim, MED Talks Switzerland, Consultant of: Boehringer-Ingelheim (advisory board), Janssen (advisory board), Mike O. Becker Speakers bureau: Mepha, MSD, Novartis, GSK, Bayer and Vifor, Consultant of: Mepha, MSD, Novartis, GSK, Bayer and Vifor (advisory board fees), Rucsandra Dobrota Consultant of: Boehringer-Ingelheim (Advisory Board), Cosimo Bruni Speakers bureau: Eli-Lilly2018-2021, Actelion2019, Boehringer-Ingelheim2020-2021, Grant/research support from: AbbVie (educational grant 2021), Suzana Jordan: None declared, Håvard Fretheim Speakers bureau: Personal fees form Bayer and non-financial support from GSK and Actelion, outside the submitted work., Øyvind Midtvedt: None declared, Hilde Jenssen Bjørkekjær: None declared, Imon Barua: 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, 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, Muriel Elhai Speakers bureau: Speaker fees: BMS outside the submitted work

OP0003 DOES IMMUNOSUPPRESSIVE THERAPY IMPROVE GASTROINTESTINAL SYMPTOMS IN PATIENTS WITH SYSTEMIC SCLEROSIS?

Background

The gastrointestinal (GI) tract is frequently affected in systemic sclerosis (SSc), leading to considerable morbidity and even mortality. While important progress has been made in the last years regarding treatment of SSc, there is no disease-modifying treatment available for SSc-related GI involvement.

Objectives

We aimed to identify, in an observational cohort study of real-life patients with SSc, an association between immunosuppressive therapy and the severity of GI symptoms, measured by the University of California at Los Angeles / Scleroderma Clinical Trial Consortium Gastro-Intestinal Tract instrument 2.0 (UCLA GIT 2.0).

Methods

We selected patients from our EUSTAR centre who met the 2013 ACR/EULAR classification criteria for SSc and had at least two visits with completed UCLA GIT 2.0 questionnaires, with an interval of 12±3 months between visits. We defined the first visit with a completed UCLA GIT 2.0 questionnaire as baseline visit. Immunosuppressive therapy was defined as exposure for at least 6 months between the two visits to at least one of the following drugs, regardless of indication: mycophenolate mofetil (MMF), cyclophosphamide, methotrexate, azathioprine, leflunomide, glucocorticoids (>10mg/d prednisone-equivalent), rituximab, tocilizumab, and abatacept. The study outcome was the UCLA GIT 2.0 score at the follow-up visit. We performed multivariable linear regression with this outcome as dependent variable and immunosuppressive therapy during follow-up, immunosuppressive therapy before baseline, baseline UCLA GIT 2.0 score and several baseline parameters selected by clinical judgment as potentially influencing GI symptoms, as independent variables. Multiple imputation was implemented to handle missing values.

Results

We included 209 patients. Baseline characteristics were: 82.3% female, median (IQR) age 59.0 (48.6, 68.2) years, median disease duration 6.0 (2.7, 12.5) years, 40 (19.1%) diffuse cutaneous SSc, median baseline UCLA GIT 2.0 score 0.19 (0.06, 0.43). Of these, 71 patients were exposed to immunosuppressive therapy during the observation period: 27/71 methotrexate, 1/71 cyclophosphamide, 17/71 MMF, 3/71 leflunomide, 3/71 azathioprine, 6/71 glucocorticoids >10mg/d, 16/34 rituximab, 18/34 tocilizumab. Patients on immunosuppressive therapy during the observation period had, compared to patients without such treatment, overall more severe SSc, higher prevalence of treatment with proton pump inhibitors, similar UCLA GIT 2.0 scores at baseline and at follow up and tendentially less severe GI symptoms at baseline and follow-up by medical history. In multivariable linear regression, immunosuppressive therapy, lower body mass index, longer disease duration and lower baseline UCLA GIT 2.0 score were significantly associated with lower (better) UCLA GIT 2.0 scores at follow-up (Table 1).

Table 1.Predictors of UCLA GIT 2.0 score at follow-upEstimates95% CIpAge0.002-0.001 – 0.0060.136Sex [male]-0.056-0.172 – 0.0610.347Disease duration-0.005-0.009 – -0.0000.030Body mass index0.0140.002 – 0.0250.017UCLA GIT 2.0 total score baseline0.6900.571 – 0.809<0.001Immunosuppressive therapy during observation period-0.119-0.228 – -0.0100.032Immunosuppressive therapy before baseline0.080-0.032 – 0.1920.160Modified Rodnan Skin Score-0.001-0.008 – 0.0070.860Forced vital capacity-0.001-0.004 – 0.0010.302Erythrocyte sedimentation rate0.003-0.001 – 0.0060.116Proton pump inhibitors-0.034-0.120 – 0.0520.435(Intercept)-0.120-0.531 – 0.2910.566

Baseline factors associated with the total UCLA GIT 2.0 score at the end of the observation period. Multiple linear regression model with imputation for missing variables. N=209 patients

Conclusion

Immunosuppressive treatment was associated with lower UCLA GIT 2.0 scores, which suggests potential effects of immunosuppressants on GI manifestations in patients with SSc. These results need verification in additional studies and randomised controlled clinical trials.

References

[1]Khanna D et al. Arthritis Rheum, 2009; 61: 1257-63.

Disclosure of Interests

Lea Stamm: None declared, Alexandru Garaiman: None declared, Norina Zampatti: None declared, Mike O. Becker Speakers bureau: Mepha, MSD, Novartis, GSK, Bayer and Vifor, Consultant of: Mepha, MSD, Novartis, GSK, Bayer and Vifor, Grant/research support from: Mepha, MSD, Novartis, GSK, Bayer and Vifor, Cosimo Bruni Speakers bureau: Actelion, Eli-Lilly, Boehringer-Ingelheim, Grant/research support from: Abbvie, EUSTAR, Gruppo Italiano Lotta alla Sclerodermia (GILS), SCTC, Rucsandra Dobrota Consultant of: Boehringer-Ingelheim, Grant/research support from: Iten-Kohaut Foundation, Muriel Elhai: None declared, Sherif Ismail Grant/research support from: EULAR scientific training grant for young fellows 2021, Suzana Jordan: None declared, Aurora Tatu: None declared, 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, Carina Mihai Speakers bureau: Boehringer-Ingelheim, Mepha, MED Talks Switzerland, Consultant of: Boehringer-Ingelheim, Janssen, Grant/research support from: Boehringer-Ingelheim, Janssen, Roche.

OP0212-HPR PATIENT ASSESSMENT CHRONIC ILLNESS CARE (PACIC) AND ITS ASSOCIATIONS WITH QUALITY OF LIFE AMONG SWISS PATIENTS WITH SYSTEMIC SCLEROSIS – A MIXED METHODS STUDY

Background

Variable disease presentation and symptom burden in patients living with systemic sclerosis (SSc) require a chronic care approach including competent, coordinated, multidisciplinary collaboration as well as self-management support targeting individual patient needs. The Chronic Care Model (CCM) is a longstanding and widely adopted model guiding chronic illness management.1 Little is known about how CCM elements are implemented in SSc care or how patients’ care experiences relate to health-related quality of life (HRQoL).

Objectives

First, to describe current SSc care in Switzerland according to the CCM from the patient perspective and examine relationships with HRQoL. Second, to explain these results by patients’ illness and care experiences.

Methods

We employed an explanatory sequential mixed methods design (Figure 1). First, we conducted a cross-sectional quantitative survey (n=101 Swiss patients) using the Patient Assessment of Chronic Illness Care (PACIC-20)2 and Systemic Sclerosis Quality of Life (SScQoL)3 questionnaires. Because PACIC has not been used in the context of SSc, we used the Mokken model to test the construct validity of the PACIC scale and its subscales. After excluding five problematic items, H coefficients were ‘strong’ for the subscales and the global scale (0.52) suggesting a robust unidimensional scale.

Figure 1.

Schematic of the explanatory, sequential mixed methods design

Next, we used data from individual patient interviews (n=4) and one patient focus group (n=4) to further explore care experiences of people living with SSc with a focus on the PACIC dimensions.

Results

The mean overall PACIC-15 score was 3.0 / 5.0 (95% CI: 2.8–3.2, n= 100), indicating care was ‘never’ to ‘generally not’ aligned with the CCM. Lowest subscale scores related to ‘goal setting/tailoring’ (mean = 2.5, 95% CI: 2.2–2.7) and ‘problem solving/contextual counselling’ (mean = 2.9, 95% CI: 2.7–3.2) (Table 1). No significant associations were identified between the mean PACIC-15 and SScQoL scores.

Table 1.

Summary of scores (n=101) for the 15-item PACIC scale (adapted version of the original 20-item scale)

PACIC mean scores (95% CI)PACIC 15-item mean score3.0 (2.8–3.2)1: Patient activation(mean of items 1–3)3.4 (3.1–3.6)2: Delivery system design/ Decision Support(items 4–6)3.2 (3.0–3.4)3: Goal setting/ Tailoring(items 7–9)2.5 (2.2–2.7)4: Problem solving/ Contextual Counselling(items 12–15)2.9 (2.7–3.2)5: Follow-up/ Coordination(items 19–20)3.3 (3.0–3.5)

Note: CI=Confidence interval; PACIC=Patient Assessment of Chronic Illness Care

Interviews revealed patients frequently encounter major shortcomings in care including experiencing organized care with limited participation, not knowing which strategies are effective or harmful and feeling left alone with disease and psychosocial consequences. Patients often responded to challenges by dealing with the illness in tailored measure, taking over complex coordination of care and relying on an accessible and trustworthy team.

Conclusion

The low PACIC mean overall score is comparable to findings in patients with common chronic diseases. Key elements of the CCM have yet to be systematically implemented in Swiss SSc management. Identified gaps in care related to lack of shared decision-making, goal-setting and individual counselling –aspects that are essential for supporting patient self-management skills. Furthermore, there appears to be a lack of complex care coordination tailored to individual patient needs.

References

[1]Wagner EH. Chronic disease management: what will it take to improve care for chronic illness? Eff Clin Pract 1998;1(1):2-4.

[2]Glasgow RE, Wagner EH, Schaefer J, et al. Development and validation of the Patient Assessment of Chronic Illness Care (PACIC). Med Care 2005;43(5):436-44.

[3]Ndosi M, Alcacer-Pitarch B, Allanore Y, et al. Common measure of quality of life for people with systemic sclerosis across seven European countries: a cross-sectional study. Ann Rheum Dis 2018;77(7):1032-38.

Acknowledgements

We wish to thank the participating patients, the Swiss Scleroderma patient association, and the focus group participants for their generosity and collaboration.

Disclosure of Interests

Agnes Kocher Consultant of: Pfizer, Grant/research support from: Boehringer Ingelheim, Swiss Nursing Science Foundation, Swiss League Against Rheumatism, University of Basel, Michael Simon: None declared, Andrew A. Dwyer Grant/research support from: Boston College, U.S. National Institutes of Health (U.S.A.), Catherine Blatter: None declared, Jasmina Bogdanovic: None declared, Patrizia Künzler-Heule: None declared, Peter Villiger: None declared, Diana Dan: None declared, 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, Ulrich Walker: None declared, Dunja Nicca: None declared

OP0158 COHORT ENRICHMENT STRATEGIES FOR PROGRESSIVE INTERSTITIAL LUNG DISEASE IN SYSTEMIC SCLEROSIS FROM EUSTAR

Background

Enrichment strategies from clinical trials for progressive systemic sclerosis-associated interstitial lung disease (SSc-ILD) have been partly successful but have not been tested in a real life cohort.

Objectives

Analyse the efficacy, representativeness and feasibility of enrichment strategies in SSc-ILD patients from the EUSTAR cohort.

Methods

We applied the inclusion criteria of major recent SSc-ILD trials (focuSSced, SLS II and SENSCIS) in SSc-ILD patients and assessed progressive ILD, defined as absolute change in forced vital capacity (FVC) and as significant progression (FVC decline >10%) over time. Data were compared to all patients and patients not fulfilling any inclusion criteria.

Results

In total, 2258 SSc-ILD patients were included, with 31.2% meeting SENSCIS, 5.8% SLS II, 1.6% focuSSced criteria and 1529 (67.7%) not meeting any criteria (Table 1). In the first 12+/-3 months, a slow FVC% decline of –0.1% was seen in the total, unselected cohort and in patients fulfilling SENSCIS criteria. Patients fulfilling criteria from focuSSced showed a strong FVC decline of –3.7%. Notably, patients enriched for SLS II criteria showed FVC improvement of +2.3% (Figure 1). Similarly, compared to the total unselected cohort, the number of significant progressive events was numerically higher in patients fulfilling focuSSced criteria, the same for SENSCIS criteria and even slightly lower for patients fulfilling the SLS2 criteria.

Table 1.

Demographics and baseline clinical characteristics of EUSTAR patients

Not fulfilling any criteria (n=1529)focuSSced (n=36)SLS II (n=132)SENSCIS (n=704)Age, years (SD)58.4 (2.9)51.5 (12.2)†51.2 (12.7) †54.2 (13.8) †Male, n (%)231 (15.1)7 (19)35 (27)**156 (21)*Disease duration, months (SD)156.3 (99.4)16.1 (13.9)†40.7 (25.2) †39.4 (23.9) †DcSSc, n (%)597 (43.8)36 (100) †85 (65) †35 (52) †ATA, n (%)735 (51.1)24 (67)*85 (69) †370 (56)mRSS, mean (SD)9.5 (8.3)21 (6.5)*13 (9.6)*11 (9.2)GERD, n (%)1002 (65.9)25 (69)92 (70)430 (62)ESR, mean (SD)27 (20.5)43.1 (23) †29.6 (19.6) †24.7 (20.7)MMF, n (%)75 (16.5)0 (0) †0 (0) †52 (22) †MTX, n (%)42 (9.2)0 (0) †2 (5)20 (9)FVC % predicted, mean (SD)85.7 (22.5)88 (13.6)*66 (9.1) †88 (19.8)DLCO% predicted, mean (SD)58.9 (21.5)61 (12.7)49(14.6)†59 (14.2)NYHA class, n (%)3261 (17.8)6 (19)28 (21)72 (10)*440 (2.7)0 (0)3 (2)4 (1)*

*P-value: 0.001–0.05; †P<0.001, between focuSSced, SENSCIS or SLS compared with not fulfilling any study criteria.

In the second 12 months period, SENSCIS enriched patients had a further absolute FVC% decline as described for the total cohort. In contrast, patients fulfilling the focuSSced and SLS II inclusion criteria showed numerical improvement of lung function in the second period (Figure 1). There were no significant associations of enrichment criteria and ILD progression in the second period.

Over the mean observation period of 2.3 years, patients not fulfilling any inclusion criteria showed the same FVC decline of –0.9 (12.1) as observed for the total cohort (–0.9% (12.6)). There were numerical differences in FVC changes in the enriched patient cohorts, varying from –2.8% FVC decline in patients fulfilling the focuSSced criteria to +3.4% FVC improvement with SLS II criteria.

Conclusion

Application of enrichment criteria from previous clinical trials showed enrichment for progression with variable success but led to selected patient populations reducing feasibility of recruitment. These findings are important for future clinical trial design and interpretation of the results of published trials.

Acknowledgements

We thank all EUSTAR collaborators.

Disclosure of Interests

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, Cathrine Brunborg: None declared, Paolo Airò Speakers bureau: Bristol-Myers-Squibb, Boehringer Ingelheim, Consultant of: Bristol-Myers-Squibb, Grant/research support from: Bristol-Myers-Squibb, Roche, Jannsen, CSL Behring, Lidia P. Ananyeva Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, László Czirják Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Actelion (now GSK), MSD, Novartis, Pfizer, Roche, Lilly, Grant/research support from: Boehringer Ingelheim, Actelion (now GSK), MSD, Novartis, Pfizer, Serena Guiducci: None declared, Eric Hachulla Speakers bureau: GSK, Roche-Chugai, Johnson & Johnson, Boehringer Ingelheim, Consultant of: CSL Behring, GSK, Roche-Chugai, Johnson & Johnson, Boehringer Ingelheim, Grant/research support from: CSL Behring, Boehringer Ingelheim, GSK, Roche-Chugai, Sanofi Genzyme, Mengtao Li: None declared, Carina Mihai Speakers bureau: MEDtalks Switzerland, Mepha, Grant/research support from: Roche, Boehringer Ingelheim, Janssen, Gabriela Riemekasten Speakers bureau: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Petros Sfikakis Consultant of: Boehringer Ingelheim, Gabriele Valentini Consultant of: Boehringer Ingelheim, Sanofi, Grant/research support from: BMS, Otylia Kowal-Bielecka Speakers bureau: Boehringer Ingelheim, Novartis, Pfizer, Gilead Sciences, Janssen-Cilag, MEDAC, MSD, Abbvie, Sandoz, Consultant of: Boehringer Ingelheim, Health Care system Navigator, CSL Behring, MSD, Novartis, Grant/research support from: CSL Behring, Boehringer Ingelheim, Abbvie, Roche, MEDAC, Yannick Allanore Speakers bureau: Boehringer, Abbvie, Consultant of: Boehringer, Bayer, Astra-Zeneca, Prometheus, Sanofi, Genentech/Roche, Boehringer, Grant/research support from: Alpine Immunosciences, OSE Immunotherapeutics, Medsenic, 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

OP0092 DECIPHERING THE SYNOVIAL TISSUE AND FIBROBLAST SUBSETS IN SYSTEMIC SCLEROSIS

Background

Articular involvement is underestimated in systemic sclerosis (SSc), but represents a major cause of disability and is a marker of disease severity. There is no approved effective therapy for arthritis in SSc and immunosuppressive treatments are given to SSc patients by analogy with rheumatoid arthritis (RA), but with limited effect. The last few years have revolutionized the understanding of the pathogenesis of RA by deciphering the heterogeneity of synovium at both the cellular and molecular levels. Nevertheless, the pathogenesis of joint involvement in SSc remains largely unknown.

Objectives

To characterize the synovium in SSc at tissue and cellular levels and to compare it with RA synovium.

Methods

Nine consecutive patients fulfilling SSc classification criteria and having joint synovitis were included. Patients with overlap with other autoimmune rheumatic diseases were excluded. Synovial tissues (8 wrists, 1 knee) were obtained by ultrasound-guided biopsy and were compared to those obtained from five RF and CCP positive RA patients (3 wrists, 3 knees). Tolerance of the procedure was assessed after 3-5 days. Histological analysis of the synovium determined the Krenn synovitis score (0-9) and stratified the synovial tissue according to previously published histological features1. One biopsy, without synovial tissue, was not processed further. ScRNA-seq libraries were prepared with 10X Genomics technology and sequenced on NovaSeq 6000. Integrated bioinformatics analysis used Cell Ranger and Seurat software. Overexpressed genes were selected using log2 ratio (>0.25) and false discovery rate adjusted p value (< 0.05). For pathway enrichment analysis, Enrichr software was used.

Results

Of the nine SSc-patients, 6 were women, median age was 65 [IQR: 58-67] years, median disease duration was 2 [0.5-5] years and 2 had diffuse cutaneous subtype. The antibody status was as follows: anti-Scl70 (2), anti-centromere (2), anti-RNA polymerase III (3), anti-Ku (1) and isolated ANA (1). In the RA cohort, 4/5 were women, median age was 56 [54-59] years and median disease duration 6.5 [5-7.5] years. Synovial biopsy was well-tolerated by all the patients. Krenn synovitis score was lower in SSc as compared to RA across the three components of the synovitis score (lining layer, stroma and inflammatory infiltrate). In SSc, 7/8 (87.5%) biopsies were characterized by a pauci-immune pathotype, whereas in RA 3/6 (50%) were pauci-immune. Due to the low inflammatory pauci-immune pathotype in all but one SSc patients, we focused the scRNA sequencing analysis on synovial fibroblasts (SF) (number of SF studied: 4876 in SSc and 5885 in RA). We identified four clusters of SF with respective marker genes: SF1 (CXCL12, APOE, RARRES2, CCL2), SF2 (PRG4, MMP1, MMP3, CD55), SF3 (POSTN, ASPN, COMP, COL1A1) and SF4 (FN1, TIMP1, SERPIN2, PRELP). Comparison between SSc and RA SF subtypes showed differences in the proportion of the clusters between both diseases with higher enrichment of SF2 corresponding to the lining SF in SSc. 741 genes were differentially expressed between SSc and RA SF with 414 genes overexpressed in SSc SF. Pathway enrichment analysis of these 414 genes identified TGF-β (p.adj: 3.708e-18) and interferon (p.adj: 1.071e-8) signaling pathways. TGF-β signaling was enriched across all the clusters of SF, whereas interferon signaling mostly in sublining SF. The most overexpressed genes in SSc included PLCG2 (encoding the signaling enzyme PLCγ2, which plays a regulatory role in various immune pathways), PCOLCE2 (encoding a procollagen C-endopeptidase enhancer) and the transcription factor AHR (negative regulator of TGF-β).

Conclusion

Synovitis in SSc differs from RA synovitis both at histological and molecular levels. By highlighting the low inflammatory nature of the synovium and the enrichment in TGF-β and interferon signaling pathways in SSc SF, our study questions the use of the same immunosuppressive therapies in RA and SSc. These results are the basis for the development of specific targeted therapies for arthritis in SSc.

References

[1]Humby F, et al. Ann Rheum Dis 2019;78:761–72.

Disclosure of Interests

Miranda Houtman: None declared, Raphael Micheroli: None declared, Kristina Bürki: None declared, Chantal Pauli: None declared, Sam G. Edalat: None declared, Mojca Frank Bertoncelj: None declared, 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, Caroline Ospelt: None declared, Muriel Elhai Speakers bureau: BMS.

No evidence for an effect of the first COVID-19 lockdown on work stress conditions in office workers

Background

The COVID-19 pandemic has forced around 50 % of employees of Switzerland into a working from home setting during March and April 2020. Working from home appears to change the work experience of office workers considerably. The aim of this analysis was to investigate the effect of the first COVID-19 lockdown on work stress conditions.

Methods

We based this longitudinal analysis on control group data from an ongoing stepped-wedge cluster randomized controlled trial. Office workers from two Swiss organizations, aged 18-65 years, were included. Baseline data from January 2020 (before the COVID-19 pandemic) were compared with follow-up data collected during the fourth and fifth week of the first lockdown (April 2020). Work stress conditions were measured using the Job-Stress-Index (JSI). The JSI indicates the ratio of work-related resources (e.g., appreciation at work) and stressors (e.g., work organisation) on a scale from 0 (stressors < resources) to 100 (stressors > resources). Paired sample t-tests were performed for statistical analysis.

Results

Data from 75 participants were analysed. Fifty-three participants were female (70.7 %). The mean age was 42.8 years (range from 21.8 to 62.7) at baseline. At baseline, the mean JSI was 47.6 (SD = 5.0), with 77.7 (SD = 12.4) for resources and 22.3 (SD = 10.1) for stressors. At follow-up, the mean JSI was 47.4 SD = 4.5), with 77.5 (SD = 11.7) for resources and 21.4 (SD = 9.6) for stressors. We found no evidence for a difference in JSI (estimate = 0.67, 95 % CI: -0.33 to 0.66, p-value = 0.50), its index of resources (estimate = 0.23, 95 % CI: -1.32 to 1.69, p-value = 0.82) or the index of work stressors (estimate = 1.4, 95 % CI: -0.32 to 2.02, p-value = 0.15) between measurement time points.

Conclusions

The first COVID-19 lockdown did not result in a difference of work stress conditions among our sample of Swiss office workers. Improved working times and work-life balance may have contributed to this finding.

Key messages

Improved working times and work-life balance may have contributed to stable task-related stressors and resources in the early phase of the lockdown.

Other, non-work-related environmental stressors should be investigated to explain COVID-19-related changes in mental and physical health.

Sex-specific difference in cardiac function in patients with systemic sclerosis: association with cardiovascular outcomes

Background

Cardiac involvement is an important cause of hospitalization and mortality in patients with systemic sclerosis (SSc) and advanced echocardiographic measures such as left ventricular (LV) global longitudinal strain (GLS) have already demonstrated to improve risk-stratification. However, possible sex differences in echocardiographic parameters including LV GLS have not been explored so far.

Purpose

To compare standard and advanced echocardiographic parameters between men and women with SSc and evaluate their association with cardiovascular outcomes.

Methods

A total of 746 SSc patients from four different centers were included of which 628 (84%, 54±13 years) women and 118 (16%, 55±15 years) men. Baseline transthoracic echocardiographic (TTE) data with standard and advanced (LV GLS) measurements as well as clinical characteristics were analysed. The study endpoint was the composite of all-cause mortality and cardiovascular hospitalisations.

Results

Men and women showed several differences in terms of disease characteristics: greater modified Rodnan skin score, higher prevalence of diffuse cutaneous SSc, lung fibrosis and myositis, more impaired pulmonary function (DLCO) and higher creatine phosphokinase were observed in men, while women were characterized by longer disease duration, higher NT-proBNP and lower glomerular filtration rate. By TTE, men showed larger LV indexed volumes, lower LV ejection fraction and more impaired LV GLS [−19% (IQR −20% to −17%) vs. −21% (IQR: −22% to −19%, p&lt;0.001)]. Considering the significant differences in clinical characteristics between men and women, a propensity matching score was applied to explore whether sex-differences in TTE parameters were maintained. The matching was performed according to age, disease duration, presence of diffuse SSc, lung fibrosis, DLCO and NT-proBNP (n=140); after matching, LV GLS still showed significant difference between men and women [−19% (IQR −20% to −18%) vs. −20% (IQR −22% to −18%, p=0.03)] while LV volumes and ejection fraction did not. After a median follow-up of 48 months (IQR: 26–80), the combined endpoint occurred in 182 patients and Kaplan-Meier survival analysis (Figure) showed that men experienced higher cumulative event rates as compared to women (Chi-square 8.648; Log rank 0.003) even after matching for clinical characteristics (Chi-square 7.211; Log rank 0.007); however, sex difference in outcomes was neutralized after matching groups according to LV GLS. Furthermore, LV GLS showed a significant association with prognosis in the overall group (HR: 1.173; 95% CI: 1.106–1.244, p&lt;0.001) without significant interaction with sex (p=0.373), indicating a consistent prognostic value of LVGLS for both men and women.

Conclusions

Among patients with SSc, LV GLS is more impaired in men as compared to women even after matching for clinical characteristics, and its impairment is associated with higher prevalence of death and cardiovascular hospitalization.

Funding Acknowledgement

Type of funding sources: None.

ISHLT consensus document on lung transplantation in patients with connective tissue disease: Part III: Pharmacology, medical and surgical management of post-transplant extrapulmonary conditions statements

Patients with connective tissues disease (CTD) are often on immunomodulatory agents before lung transplantation (LTx). Till now, there's no consensus on the safety of using these agents perioperative and post-transplant. The International Society for Heart and Lung Transplantation-supported consensus document on LTx in patients with CTD addresses the risk and contraindications of perioperative and post-transplant management of the biologic disease-modifying antirheumatic drugs (bDMARD), kinase inhibitor DMARD, and biologic agents used for LTx candidates with underlying CTD, and the recommendations and management of non-gastrointestinal extrapulmonary manifestations, and esophageal disorders by medical and surgical approaches for CTD transplant recipients.

Diffuse myocardial fibrosis precedes impairment of myocardial strain in patients with systemic sclerosis

Funding Acknowledgements

Type of funding sources: None.

Background - Myocardial involvement is common in patients with systemic sclerosis (SSc) and causes myocardial fibrosis and subtle ventricular dysfunction. However, the temporal onset of myocardial involvement during the progression of the disease is yet unknown.

Purpose - To investigated the presence of subclinical functional impairment and diffuse myocardial fibrosis in patients with very early diagnosis of SSc (VEDOSS) and to compared the findings to patients with established SSc and healthy controls.

Methods - 110 SSc patients (86 with established SSc and 24 with VEDOSS) and 15 healthy controls were prospectively recruited. The study subjects underwent cardiovascular magnetic resonance on a clinical 1.5T system. Pre- and post-contrast T1 mapping was performed using a MOLLI (Modified Look-Locker Inversion Recovery) sequence. For extracellular volume (ECV) measurements, a single bolus protocol with image acquisition 15-20 min. post-contrast injection was used. For the assessment of subtle functional impairment, global longitudinal (GLS) and circumferential (GCS) myocardial strain were evaluated.

Results - Native T1 values and ECV were elevated in VEDOSS and in patients with established SSc compared to controls (p &lt; 0.001; Figure 1 A & B). GLS was similar in VEDOSS and controls but significantly reduced in patients with established SSc (p &lt; 0.001; Figure 1 C). GCS was similar over all groups (p = 0.88). Patients with clinical evidence of pulmonary or gastrointestinal involvement had higher ECV or T1 values, respectively. Patients with clinical signs of cardiac involvement had lower absolute GLS. SSc subtype, classification or disease duration were not associated with the extent of myocardial fibrosis or impaired strain.

Conclusion - Subclinical myocardial involvement first manifests as diffuse myocardial fibrosis identified by expansion of ECV and increased native T1 in VEDOSS patients while subtle functional impairment as measured by GLS only occurs in established SSc. No single clinical feature of SSc shows a strong association with subtle myocardial involvement.

Pro-fibrotic phenotype of bone marrow stromal cells in Modic type 1 changes

Modic type 1 changes (MC1) are painful vertebral bone marrow lesions frequently found in patients suffering from chronic low-back pain. Marrow fibrosis is a hallmark of MC1. Bone marrow stromal cells (BMSCs) are key players in other fibrotic bone marrow pathologies, yet their role in MC1 is unknown. The present study aimed to characterise MC1 BMSCs and hypothesised a pro-fibrotic role of BMSCs in MC1. BMSCs were isolated from patients undergoing lumbar spinal fusion from MC1 and adjacent control vertebrae. Frequency of colony-forming unit fibroblast (CFU-F), expression of stem cell surface markers, differentiation capacity, transcriptome, matrix adhesion, cell contractility as well as expression of pro-collagen type I alpha 1, α-smooth muscle actin, integrins and focal adhesion kinase (FAK) were compared. More CFU-F and increased expression of C-X-C-motif-chemokine 12 were found in MC1 BMSCs, possibly indicating overrepresentation of a perisinusoidal BMSC population. RNA sequencing analysis showed enrichment in extracellular matrix proteins and fibrosis-related signalling genes. Increases in pro-collagen type I alpha 1 expression, cell adhesion, cell contractility and phosphorylation of FAK provided further evidence for their pro-fibrotic phenotype. Moreover, a leptin receptor high expressing (LEPRhigh) BMSC population was identified that differentiated under transforming growth factor beta 1 stimulation into myofibroblasts in MC1 but not in control BMSCs. In conclusion, pro-fibrotic changes in MC1 BMSCs and a LEPRhigh MC1 BMSC subpopulation susceptible to myofibroblast differentiation were found. Fibrosis is a hallmark of MC1 and a potential therapeutic target. A causal link between the pro-fibrotic phenotype and clinical characteristics needs to be demonstrated.