POS0893 FACTORS TO CONSIDER FOR MEASURING THE EFFECT OF LUNG FUNCTION ON PATIENT REPORTED OUTCOMES IN SYSTEMIC SCLEROSIS PATIENTS: ANALYSIS OF THE EUSTAR DATABASE

Background

Patient Reported Outcomes (PROs) are central to measure how patients feel and function especially when determining the effect of disease modifying agents. In patients with Systemic Sclerosis associated Interstitial Lung Disease (SSc-ILD), dyspnea is the main driver of HAQ decline but the effect of reduced lung function on both generic and specific measures of functional impairment is not well defined, and there are many potential confounding biases that could distort the apparent extent and direction of this relationship. Moreover, collider biases potentially induced by selection into the cohort and in clinical trials can also play a role.

Objectives

To define within the EUSTAR database, the correlation of Forced Vital Capacity (FVC) and functional impairment PROs and identify potential confounders to be considered in casual inference studies.

Methods

A cross-sectional analysis included for each patient with SSc-ILD (by X-ray and/or HRCT) in the EUSTAR registry the last visit with at least one PRO (Health Assessment Questionnaire Disability Index [HAQ-DI], Cochin hand function scale [CHFS] and/or dyspnoea visual analogue scale [VAS]) and % predicted FVC (%pFVC), if available. Patients with LVEF≤50% or pulmonary arterial hypertension at RHC were excluded. SSc-ILD with restricted lung volume was defined as %pFVC≤70 [1]. Spearman’s correlation analysis was performed. Results of this analysis and literature review were integrated to design a directed acyclic graph (DAG) and identify the appropriate confounder adjustment set for the total causal effect of FVC on functional impairment PROs.

Results

Among 17.338 SSc patients in the EUSTAR registry (extracted in November 2019), 727 SSc-ILD patients fulfilled the inclusion criteria (median %pFVC 90 (IQR 74-104), median %pDLCO 60 (IQR 47-52)). Patients with %pFVC<70 (n=149), as compared to those with %pFVC≥70 (n=578) had worse HAQ-DI, CHFS and VAS-dyspnoea scores (Table 1). In unadjusted analysis, %pFVC showed a weak correlation with HAQ-DI (r=-0.21) and CHFS (r=-0.17), but a stronger correlation with VAS dyspnoea (r=-0.33).

Table 1.

Results are reported as number/number available (%) for dichotomic variables, or as median (IQR) (n available) for continuous variables.

%pFVC≥70 (n=578)%pFVC<70 (n=149)Age at disease onset (years)60.6 (52.3-69.3) (546)52.5 (45.6-63-7) (137)Disease duration (months)134.4 (77.5-212.2) (546)110.3 (66.3-199.7) (137)Male sex84/578 (14.5)32/149 (21.5)Anti-Scl70+231/468 (40.7)81/122 (66.4)Smoker ever52/389 (13.4)17/107 (15.9)Caucasian ethnicity545/569 (95.8)131/145 (90.3)dcSSc167/559 (29.9)74/147 (50.3)Oesophageal symptoms319/571 (55.9)93/147 (63.3)Muscle weakness78/565 (13.8)37/149 (24.8)CRP elevation141/540 (26.1)53/134 (39.6)Elevated sPAP (ECHO)45/456 (9.9)21/121 (17.2)Pericardial effusion2/448 (0.4)4/110 (3.6)Diastolic function abnormality151/431 (35.0)31/102 (30.4)Conduction blocks78/480 (16.3)35/120 (29.2)%pDLCO62 (52-74) (527)42 (35-53) (118)CHFS7 (1-23) (493)16 (2-34.8) (114)HAQ-DI0.63 (0.13-1.13) (578)1.25 (0.38-2) (139)VAS dyspnoea (0-100)15 (10-45) (391)40 (20-70) (109)NYHA stage 3/447/561 (8.4)37/143 (25.9)

Subsequently, we created a DAG showing the proposed causal pathway considered relevant to the relationship between FVC and HAQ (Figure 1).

Conclusion

Lung function as measured by FVC appears to correlate with worse patient-reported function in our unadjusted analysis of the large multicentre EUSTAR dataset. However, to estimate the total causal effect we must consider a multitude of potentially confounding factors, which need to be integrated and analysed in a causal inference framework. The proposed DAG will inform the development of simulations of the potential impact of bias (confounding, collider and omitted variable) on effect estimates we could obtain from EUSTAR cohort.

References

[1]Goh NS, et al. Am J Respir Crit Care Med, 2008.

Disclosure of Interests

Maria Grazia Lazzaroni Grant/research support from: Research grant from Boehringer-Ingelheim, Michelle Wilson Grant/research support from: Research grant from Boehringer-Ingelheim, Elizabeth Hensor: None declared, Jörg H.W. Distler: None declared, Giovanna Cuomo: None declared, Elise Siegert: None declared, Ulf Müller-Ladner: None declared, Yannick Allanore: None declared, Maria Joao Salvador: None declared, Branimir Anic: None declared, Ulrich Walker: None declared, László Czirják: None declared, Camillo Ribi: None declared, Cristina-Mihaela Tanaseanu: None declared, Armando Gabrielli: None declared, Anna-Maria Hoffmann-Vold: None declared, Oliver Distler: None declared, Francesco Del Galdo: None declared

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

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

POS0317 THE PERFORMANCE OF DIFFUSING CAPACITY FOR MONOXIDE CARBON (DLCO) AND FORCED VITAL CAPACITY (FVC) IN PREDICTING THE ONSET OF SYSTEMIC SCLEROSIS (SSc)-INTERSTITIAL LUNG DISEASE (ILD) IN THE EUROPEAN SCLERODERMA TRIALS AND RESEARCH (EUSTAR) DATABASE

Background:

In SSc, ILD is a major cause of morbidity and mortality. High resolution computed tomography (HRCT) is the gold standard for the diagnosis. Predictors of ILD onset are eagerly awaited to improve SSc-ILD management. Pulmonary function test (PFTs) are routinely performed to measure lung function changes.

Objectives:

Our aim was to investigate the performance of DLCO (diffusing capacity of lung carbon monoxide) and FVC (forced vital capacity) in predicting the development of SSc-ILD.

Methods:

The longitudinal data of DLCO, FVC and ILD on HRCT of SSc patients from the EUSTAR database were evaluated at baseline (t0), after 12 (±4) (t1) and 24 (±4) (t2) months. Patients with negative HRCT for any sign of ILD both at t0 and t1 were included. Patients who presented or developed pulmonary hypertension during the study period were excluded. At baseline, demographic data, disease duration from Raynaud’s onset, disease subsets, autoantibodies and other laboratory and instrumental data were recorded.

Results:

474/17805 patients were eligible for the study (403 females, 71 males): 26.0% dcSSc, 58.3% lcSSc, 220 (48.0%) patients with positive anticentromere antibodies (ACA) and 117 (25.4%) with positive antitopoisomerase I antibodies (Topo-I abs). Among all enrolled patients, 46 (9.7%) developed HRCT signs of ILD at t2. Patients with Topo-I abs showed an association with ILD development at t2 (16.7% vs 7.8%, p=0.0031), contrarily ACA positive patients were negatively associated with ILD appearance after 2 years of follow-up (4.4% vs 14.4%, p=0.0001). Positive t2 HRCT patients had a significant lower value of DLCO and FVC at all three assessments when compared to patients with a negative HRCT at t2 (Table 1) and both t0 DLCO and FVC values negatively correlated with ILD development (Table 1). The mean t0 to t1 change (Δ) of DLCO in patients with negative t2 HRTC and positive t2 HRCT were -0.5 (±12.6) and -1.0 (±15.1), respectively. The mean t0 to t1 ΔFVC in patients with negative t2 HRTC and positive t2 HRCT were -0.2 (±10.6) and 0.1 (±11.5), respectively. None of them predicted the appearance of ILD at t2 (ΔDLCO: OR (IC) 0.997 (0.97-1.02), p=0.8024; ΔFVC OR (IC) 1.002 (0.97-1.03), p=0.8664). The data showed an association between t0 DLCO value<80% and ILD appearance after 2 years of follow-up [OR(IC): 3.09(1.49-6.40), p=0.0023]. Such association was not observed for t0 FVC value<80% [OR(IC): 1.95(0.81-4.68), p=0.1329]. The predictive capability of t0 DLCO<80% was moderate but stronger than FVC<80% [AU ROC: 0.62 (0.56-0.69), 0.53 (0.48-0.59) respectively, p=0.0205].

Conclusion:

Our data suggest that an impaired baseline DLCO (<80%) may have a predictive value for the development of ILD on HRCT after 2 years of follow-up. Further rigorous prospective studies are warranted to understand the role of DLCO evaluation in the course of SSc.

Table 1.

DLCO and FVC values at t0, t1 and t2 values in patients with positive or negative HRCT for ILD at t2 and their statistical differences.

Patients without ILD at t2 (mean±SD)Patients with ILD at t2 (mean±SD)OR (95%CL)p-valueDLCO at t079.0 ± 16.669.9 ± 17.40.97 (0.95 - 0.99)0.0006DLCO at t178.4 ± 16.868.9 ± 18.60.97 (0.95 - 0.98)0.0005DLCO at t278.0 ± 17.065.1 ± 19.10.95 (0.93 - 0.97)<0.0001FVC at t0102.2 ± 17.394.6 ± 16.20.97 (0.96 - 0.99)0.0052FVC at t1101.9 ± 17.994.7 ± 16.50.98 (0.96 - 0.99)0.0092FVC at t2101.6 ± 17.694.5 ± 20.00.98 (0.96 - 1)0.0126

Disclosure of Interests:

Gemma Lepri: None declared, Cosimo Bruni Speakers bureau: CB reports personal fees from Actelion, personal fees from Eli Lilly, Grant/research support from: CB reports personal fees from Actelion, personal fees from Eli Lilly, grants from European Scleroderma Trial and Research (EUSTAR) group, grants from New Horizon Fellowship, grants from Foundation for Research in Rheumatology (FOREUM), grants from Fondazione Italiana per la Ricerca sull’Artrite (FIRA), outside the submitted work, Lorenzo Tofani: None declared, Alberto Moggi Pignone: None declared, Martina Orlandi: None declared, Tomasetti Sara Speakers bureau: Speaker’s fees for Roche and Boehringer Ingelheim, Mike Hughes: None declared, Francesco Del Galdo: None declared, Rosaria Irace: None declared, Oliver Distler Grant/research support from: OD (last three years) has/had consultancy relationship and/or has received research funding in the area of potential treatments for systemic sclerosis and its complications from (last three years): Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, iQone, Kymera Therapeutics, Lilly, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Valeria Riccieri: None declared, Yannick Allanore Speakers bureau: YA received personal fees from Boehringer, Sanofi, Menarini and Medsenic and grants from Alpine with regards to the management of systemic sclerosis, Grant/research support from: YA received personal fees from Boehringer, Sanofi, Menarini and Medsenic and grants from Alpine with regards to the management of systemic sclerosis, Ana Maria Gheorghiu: None declared, Elise Siegert: None declared, Jeska de Vries-Bouwstra: None declared, Eric Hachulla: None declared, Mohammed Tikly: None declared, Nemanja Damjanov: None declared, Francois Spertini: None declared, Luc Mouthon: None declared, Anna-Maria Hoffmann-Vold Speakers bureau: AMHV: received consulting fees from Actelion, ARXX, Bayer, Boehringer Ingelheim, Lilly, Medscape, Merck Sharp & Dohme and Roche; and grants from Boehringer Ingelheim., Consultant of: AMHV: received consulting fees from Actelion, ARXX, Bayer, Boehringer Ingelheim, Lilly, Medscape, Merck Sharp & Dohme and Roche; and grants from Boehringer Ingelheim., Grant/research support from: AMHV: received consulting fees from Actelion, ARXX, Bayer, Boehringer Ingelheim, Lilly, Medscape, Merck Sharp & Dohme and Roche; and grants from Boehringer Ingelheim., Armando Gabrielli: None declared, Serena Guiducci: None declared, Marco Matucci-Cerinic Speakers bureau: has received consulting fees or honorarium from Actelion, Janssen, Inventiva, Bayer, Biogen, Boehringer, CSL Behring, Corbus, Galapagos, Mitsubishi, Samsung, Regeneron, Acceleron, MSD, Chemomab, Lilly, Pfizer, Roche, Grant/research support from: has received consulting fees or honorarium from Actelion, Janssen, Inventiva, Bayer, Biogen, Boehringer, CSL Behring, Corbus, Galapagos, Mitsubishi, Samsung, Regeneron, Acceleron, MSD, Chemomab, Lilly, Pfizer, Roche, Daniel Furst: None declared, Silvia Bellando Randone: None declared

POS0318 CLINICAL PHENOTYPE IN SCLERODERMA PATIENTS WITH ANTI-TOPOISOMERASE I POSITIVITY AND LIMITED CUTANEOUS FORM: DATA FROM THE EUSTAR DATABASE

Background:

There is renewed interest in the role of autoantibodies to predict outcomes in systemic sclerosis (SSc). Among the newly identified subsets, patients with limited cutaneous form (lcSSc) but anti-topoisomerase I antibodies (Scl70) positivity draw particular attention, and namely, assessing the risk of developing interstitial lung disease (ILD) —the main cause of death in SSc—to improve the management of Scl70-lcSSc patients.

Objectives:

We aimed to characterize patients with Scl70-lcSSc in the large multicenter European Scleroderma Trial and Research (EUSTAR) cohort.

Methods:

The EUSTAR database was locked in July 2019. We included all patients fulfilling 1980 ACR and/or 2013 ACR/EULAR criteria for SSc, with disease duration at database entry ≤3 yrs and known and stable skin form during the first 3 yrs. Patients with lcSSc were compared: Scl70-lcSSc (target group) vs. ACA-lcSSc and ANA-lcSSc (Step 1); and Scl70-lcSSc vs. Scl70-dcSSc (Step 2). In the ANA subgroup we included ANA+ patients with negative SSc-specific antibodies (Scl70, ACA, RNA polymerase III). In each step, we performed 5 generalized mixed models (GMM) for the risk of the new onset of ILD (defined by imaging), primary myocardial involvement (PMI), pulmonary hypertension (PH), “any severe” (ILD+PMI+PH+scleroderma renal crisis) and all-cause-mortality. An additional GMM assessed the risk of forced vital capacity (FVC) decline ≥10% vs. FVC value at ILD onset. Each GMM was adjusted for age, sex and confounders.

Results:

Overall, 1285 SSc patients were included: 1068 (83%) females, 860 (67%) lcSSc and 425 (33%) dcSSc. Among patients with lcSSc, 537 (62%) had ACA+, 194 (23%) Scl70+ and 129 (15%) ANA+; 425 patients had dcSSc and Scl70+. Median follow-up was similar in all 4 groups: 7.2 to 8.1 yrs.

Step 1: At baseline, Scl70-lcSSc patients had significantly shorter time from Raynaud’s phenomenon (RP) to SSc onset, higher mRSS (5.8±4.8 vs. 4.3±4, p=0.001), and higher rate of articular and muscular involvement vs. ACA-lcSSc patients (Figure 1). No differences were found between Scl70-lcSSc and ANA-lcSSc comparing the aforementioned variables. ILD was more frequent in Scl70-lcSSc (46%) than in ACA-lcSSc (10%) and ANA-lcSSc (25%), as well as restrictive lung disease. GMM showed that Scl70-lcSSc carries a higher risk of ILD than both ACA-lcSSc (HR 4.55, 95%CI 3.23-6.67) and ANA-lcSSc (HR 2.17, 95%CI 1.39-3.45), with a rate of FVC decline ≥10% over time similar to the other limited forms. In Scl70-lcSSc patients the risk of “any severe” organ involvement was similar to ANA-lcSSc and higher than ACA-lcSSc (HR 1.89, 95%CI 1.40-2.50). In particular, Scl70-lcSSc shows a risk of PMI similar to ANA-lcSSc and lower than ACA-lcSSc; no differences regarding PH risk. The mortality risk in patients with Scl70-lcSSc was similar to the other limited forms’.

Step 2: At baseline, time from RP to SSc onset was longer in patients with Scl70-lcSSc, with less frequent joint synovitis and tendon friction rubs vs. patients with Scl70-dcSSc. Conversely, the frequency of muscular, cardiac and pulmonary involvement was similar. The risk of ILD in Scl70-lcSSc patients was similar to Scl70-dcSSc, with a lower risk of FVC decline ≥10% over time. The risk of “any severe” involvement (HR 0.66, 95%CI 0.49-0.83), PMI and PH was lower and the mortality risk tended to be lower (HR 0.57, 95%CI 0.33-1.01, p=0.053) vs. Scl70-dcSSc.

Conclusion:

In our large multicenter EUSTAR cohort one quarter of lcSSc patients were Scl70+. We show a ranking for major organ involvement within lcSSc: Scl70 the most severe, ANA+ intermediate and ACA the milder form. Scl70-dcSSc patients present the most severe phenotype, and Scl70 positivity, more than the cutaneous subset, is strongly predictive of ILD, whereas other variables may influence progression. These results may provide new insight to improve the management of Scl70-lcSSc patients.

Disclosure of Interests:

Elisabetta Zanatta: None declared, Dörte Huscher: None declared, Paolo Airò: None declared, Alexandra Balbir-Gurman: None declared, Elise Siegert: None declared, Augusta Ortolan: None declared, Marco Matucci-Cerinic: None declared, Franco Cozzi: None declared, Gabriela Riemekasten: None declared, Anna-Maria Hoffmann-Vold: None declared, Oliver Distler Speakers bureau: has/had consultancy relationship and/or has received research funding in the area of potential treatments for systemic sclerosis and its complications from (last three years): Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, iQone, Kymera Therapeutics, Lilly, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Consultant of: has/had consultancy relationship and/or has received research funding in the area of potential treatments for systemic sclerosis and its complications from (last three years): Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, iQone, Kymera Therapeutics, Lilly, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Grant/research support from: Kymera Therapeutics, Mitsubishi Tanabe, Armando Gabrielli: None declared, Stefan Heitmann: None declared, Nicolas Hunzelmann: None declared, Carlomaurizio Montecucco: None declared, Jadranka Morovic-Vergles: None declared, Camillo Ribi: None declared, Andrea Doria: None declared, Yannick Allanore: None declared

POS0861 EFFECTIVENESS AND SAFETY OF TOCILIZUMAB IN PATIENTS WITH SYSTEMIC SCLEROSIS: A PROPENSITY SCORE CONTROL MATCHED OBSERVATIONAL STUDY OF THE EUSTAR COHORT

Background:

Tocilizumab (TCZ) showed trends for improving skin fibrosis and prevented progression of lung fibrosis in patients with systemic sclerosis (SSc) in placebo-controlled randomised clinical trials (RCTs). However, safety and effectiveness of TCZ beyond these selected and enriched clinical trial populations in SSc is still unknown.

Objectives:

To assess safety and effectiveness of TCZ treatment compared to standard of care in SSc patients from the large, multicentre, observational, real-life EUSTAR network/database using propensity score matching.

Methods:

SSc patients from the EUSTAR network/database, who fulfilled the ACR/EULAR 2013 classification criteria, with a baseline and a follow-up visit at 12±3 months, receiving TCZ or standard of care (controls), were selected. The following variables were used for the propensity score matching (1:1): age at diagnosis, gender, disease subtype, baseline modified Rodnan skin score (mRSS), forced vital capacity (FVC), and diffusing capacity for carbon monoxide (DLCO), co-therapy with immunosuppressives, disease duration, and year of treatment. Primary endpoints were mRSS and FVC at 12±3 months follow-up compared between the groups, using paired t-tests. Secondary endpoints were the percentage of progressive/regressive patients for skin and lung at 12±3 months follow-up according to standard definitions (1,2). Sensitivity analyses assessed pre-processing decisions (selection of most recent vs. random observation for control patients with multiple suitable time intervals), as well as the matching method (optimal vs. exact matching). Missing values were addressed with 100-fold multiple imputation using chained equations. Safety data were analysed in all patients. The study including the statistical analysis plan was pre-registered at www.drks.de (DRKS-ID: DRKS00015537).

Results:

We identified 93 SSc patients treated with TCZ and 2370 SSc patients with standard of care who fulfilled the inclusion criteria. Forty nine (57.7%) of the TCZ treated patients were diffuse, eight patients were not classified, disease duration was (mean±SD) 6.35±5.40 years, their baseline mRSS was 15.05±10.85, and 76 (81.7%) received immunosuppressive therapy in addition to TCZ.Through multiple imputation and propensity score matching, 100 imputed sets of 93 pairs of TCZ/controls were generated. Comparison between groups showed consistent effects of TCZ across all pre-defined primary and secondary endpoints: mRSS was lower in the TCZ group (mean difference (95% confidence interval (CI)) -1.8 (-4.79 to 1.19), p=0.24, Figure 1A). Similarly, FVC % predicted was higher in the TCZ group mean difference (2.25, 95% CI -4.57 to 9.06), p=0.51, Figure 1B). Considering secondary endpoints, the percentage of skin progressors as well as lung progressors at follow up was lower in the TCZ group (odds ratio OR 0.67 (95% CI 0.07 to 6.41), p=0.74 and OR 0.53 (95% CI 0.16 to 1.7); p=0.2, respectively. Consistently, the percentage of regressors for skin (OR 1.6 (95% CI 0.56 to 4.54), p=0.38) and for lung (OR 1.74 (95% CI 0.66 to 4.58), p=0.26) was higher in TCZ. These results were robust regarding the sensitivity analyses. Safety analysis confirmed previously reported adverse event profiles.

Conclusion:

In this large, observational, controlled, real-life EUSTAR study, effectiveness of TCZ did not reach statistical significance compared to standard of care treatment but showed consistent positive effects of TCZ on skin and lung fibrosis across all pre-defined primary and secondary endpoints confirming data from recent RCTs.

References:

[1]Prediction of improvement in skin fibrosis in diffuse cutaneous systemic sclerosis: a EUSTAR analysis. Ann Rheum Dis 2016:1743-8.

[2]Progressive interstitial lung disease in patients with systemic sclerosis-associated interstitial lung disease in the EUSTAR database. Ann Rheum Dis 2021:219-227.

Disclosure of Interests:

Simon Kuster: None declared, Suzana Jordan: None declared, Muriel Daniele Elhai: None declared, Ulrike Held: None declared, Klaus Steigmiller: None declared, Cosimo Bruni: None declared, Florenzo Iannone: None declared, Serena Vettori: None declared, Elise Siegert: None declared, Simona Rednic: None declared, Veronica Codullo: None declared, Paolo Airò Consultant of: Dr. Airo’ reports personal fees (consultancies) from Bristol Myers Squibb, Bohringer Ingelheim, non-financial support from CSL Behring, SOBI, Janssen, Roche, Sanofi, Pfizer, Yolanda Braun-Moscovici: None declared, Nicolas Hunzelmann: None declared, Maria Joao Salvador: None declared, Valeria Riccieri: None declared, Ana Maria Gheorghiu: None declared, Juan Jose Alegre Sancho: None declared, Katarzyna Romanowska-Prochnicka: None declared, Ivan Castellví: None declared, Ina Koetter: None declared, Marie-Elise Truchetet Consultant of: Marie-Elise Truchetet has had consultancy relationships and/or has received research funding from Boehringer Ingelheim, Genentech/Roche, and Sanofi in the area of potential treatments of scleroderma and its complications., Grant/research support from: Marie-Elise Truchetet has had consultancy relationships and/or has received research funding from Boehringer Ingelheim, Genentech/Roche, and Sanofi in the area of potential treatments of scleroderma and its complications., Francisco J López-Longo: None declared, Pavel Novikov: None declared, Alessandro Giollo: None declared, Yuichiro Shirai: None declared, Laura Belloli: None declared, Elisabetta Zanatta: None declared, Eric Hachulla: None declared, Vanessa Smith: None declared, Christopher Denton: None declared, Ruxandra Ionescu: None declared, Tim Schmeiser: None declared, Jörg H.W. Distler: None declared, Armando Gabrielli: None declared, Anna-Maria Hoffmann-Vold Consultant of: AMHV has received research funding and/or consulting fees and/or other remuneration from Actelion, Boehringer Ingelheim, Roche, Bayer, Merck Sharp & Dohme, ARXX, Lilly and Medscape, Grant/research support from: AMHV has received research funding and/or consulting fees and/or other remuneration from Actelion, Boehringer Ingelheim, Roche, Bayer, Merck Sharp & Dohme, ARXX, Lilly and Medscape. Masataka Kuwana: None declared, Yannick Allanore: None declared, Oliver Distler Speakers bureau: Oliver Distler has/had consultancy relationship and/or has received research funding in the area of potential treatments for systemic sclerosis and its complications from (last three years): Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, iQone, Kymera Therapeutics, Lilly, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Consultant of: Oliver Distler has/had consultancy relationship and/or has received research funding in the area of potential treatments for systemic sclerosis and its complications from (last three years): Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, ChemomAb, Corbus Pharmaceuticals, CSL Behring, Galapagos NV, Glenmark Pharmaceuticals, GSK, Horizon (Curzion) Pharmaceuticals, Inventiva, iQvia, Italfarmaco, iQone, Kymera Therapeutics, Lilly, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Serodapharm, Topadur, Target Bioscience and UCB. Patent issued “mir-29 for the treatment of systemic sclerosis” (US8247389, EP2331143)., Grant/research support from: The study was partially supported by a grant from Roche. Roche was not involved in analysis or interpretation of the results.

POS0834 LONG-TERM OUTCOME OF SSC ASSOCIATED ILD: IMPROVED SURVIVAL IN PPI TREATED PATIENTS

Background:

Gastroesophageal reflux disease (GERD) occurs frequently in patients with systemic sclerosis (SSc) and SSc-associated interstitial lung disease (SSc-ILD). PPI use has to been shown to improve survival in patients with idiopathic pulmonary fibrosis, whereas to date there are no data on the use of PPI in SSc-ILD.

Objectives:

This study was aimed to assess whether use of PPI is associated with progression of SSc-ILD and survival.

Methods:

We retrospectively analysed 1931 patients with SSc and SSc-ILD from the German Network for Systemic Sclerosis (DNSS) database (2003 onwards). Kaplan–Meier analysis compared overall survival (OS) and progression-free survival (PFS) in patients with vs. without GERD (SSc and SSc-ILD), and PPI vs. no PPI use (SSc-ILD only). Progression was defined as a decrease in either % predicted forced vital capacity ≥10% or single-breath diffusing capacity for carbon monoxide ≥15%, or death.

Results:

GERD was not associated with decreased OS or PFS in patients with either SSc or SSc-ILD. In patients with SSc-ILD, PPI use was associated with improved OS vs. no PPI use after 1 year (98.4% [95% confidence interval: 97.6–99.3]; n=760 vs. 90.8% [87.9–93.8]; n=290) and after 5 years (91.4% [89.2–93.8]; n=357 vs. 70.9% [65.2–77.1]; n=106; p<0.0001). PPI use was also associated with improved PFS vs. no PPI use after 1 year (95.9% [94.6–97.3]; n=745 vs. 86.4% [82.9–90.1]; n=278) and after 5 years (66.8% [63.0–70.8]; n=286 vs. 45.9% [39.6–53.2]; n=69; p<0.0001).

Conclusion:

GERD had no effect on survival in SSc or SSc-ILD. PPIs improved survival in patients with SSc-ILD; however, controlled, prospective trials are needed to confirm this finding.

Disclosure of Interests:

Michael Kreuter Speakers bureau: Boehringer, Consultant of: Boehringer, Grant/research support from: Boehringer, Francesco Bonella Speakers bureau: Boehringer, Roche, GSK, Consultant of: Boehringer, Roche, GSK, Grant/research support from: Boehringer, Kuhr Kathrin: None declared, Jörg Henes Speakers bureau: Abbvie, Boehringer, Chugai, Roche, Janssen, Novartis, SOBI, Pfizer and UCB, Consultant of: Boehringer, Celgene, Chugai, Roche, Janssen, Novartis, SOBI, Grant/research support from: Chugai, Roche, Janssen, Novartis, SOBI, Pfizer, Elise Siegert: None declared, Gabriela Riemekasten Speakers bureau: Novartis, Janssen, Roche, GSK, Boehringer, Consultant of: Janssen, Actelion, Boehringer, Norbert Blank Consultant of: Sobi, Novartis, Roche, UCB, MSD, Pfizer, Actelion, Abbvie, Boehringer, Grant/research support from: Novartis, Sobi, Christiane Pfeiffer: None declared, Ulf Müller-Ladner: None declared, Alexander Kreuter Speakers bureau: MSD, Boehringer, InfectoPharm, Paid instructor for: MSD, PETER KORSTEN Consultant of: Glaxo, Abbvie, Pfizer, BMS, Chugai, Sanofi, Lilly, Boehringer, Novartis, Grant/research support from: Glaxo, Aaron Juche: None declared, Marc Schmalzing Speakers bureau: Chugai Roche, Boehringer, Celgene, Medac, UCB, Paid instructor for: Novartis, Abbvie, Astra Zeneca, Chugai Roche, Janssen, Consultant of: Chugai Roche, Hexal Sandoz, Gilead, Abbvie, Janssen, Boehringer, Margitta Worm Speakers bureau: Boehringer, Ilona Jandova Speakers bureau: Boehringer, Novartis, Abbvie, Laura Susok Speakers bureau: MSD, Novartis, BMS, Sunpharma, Consultant of: MSD, Tim Schmeiser Consultant of: Abbvie, Boehringer, Novartis, UCB, Claudia Guenther Paid instructor for: Advisory Board Boehringer January 2020, Employee of: Novartis 2002-2005, Gernot Keyszer Consultant of: Boehringer, Jan Ehrchen Speakers bureau: Boehringer, Janssen, Chugai, Sobi, Employee of: Pfizer, Actelion (now Janssen), Andreas Ramming Speakers bureau: Boehringer, Gilead, Janssen, Pfizer, Roche, Consultant of: Boehringer, Pfizer, Grant/research support from: Novartis, Pfizer, Ina Kötter Speakers bureau: several companies, Consultant of: several companies, Grant/research support from: several companies, Hanns-Martin Lorenz Speakers bureau: Abbvie, Astra Zeneca, Actelion, Alexion Amgen, Bayer Vital, Baxter, Biogen, Boehringer, BMS, Celgene, Fresenius, Genzyme, GSK, Gilead, Hexal, Janssen, Lilly, Medac, MSD, Mundipharm, Mylan, Novartis, Octapharm, Pfizer, Roche Chugai, Sandoz, Sanofi, Shire SOBI, Thermo Fischer, UCB, Grant/research support from: basic research studies: Pfizer, Novartis, Abbvie, Gilead, Lilly, MSD, Roche Chugai, Pia Moinzadeh Speakers bureau: Boehringer, Actelion, Grant/research support from: Actelion, Nicolas Hunzelmann Speakers bureau: Boehringer Janssen, Roche, Sanofi, Consultant of: Boehringer

POS0321 USE OF HYDROXYCHLOROQUINE AND SYSTEMIC SCLEROSIS: RESULTS FROM A PROSPECTIVE OBSERVATIONAL STUDY ON THE EUSTAR COHORT

Background:

Hydroxychloroquine (HCQ) is a well-tolerated drug that contributes to downregulating the immune response against autoantigens and it has been used in several autoimmune diseases. In systemic sclerosis (SSc) it is used to treat inflammatory arthritis without proof of efficacy.

Objectives:

Our aim was to evaluate the use of HCQ and its impact on Health Assessment Questionnaire disability index (HAQ-DI) and the Cochin Hand Function Status (CHFS). in a large SSc cohort compared to a propensity matched group of SSc patients not using HCQ.

Methods:

SSc patients from the European Scleroderma Trials and Research (EUSTAR) data base treated with HCQ for at least 6 months were evaluated. Demographic and clinical data, concomitant drugs, duration of HCQ treatment and reasons for its discontinuation, HAQ-DI and CHFS (at least 2 evaluation) were recorded and were the outcome variables of interest. Statistical analysis was performed using propensity score matching for age, gender, disease duration, corticosteroids, immunosuppressives, vasoactive drugs, DMARDs in a 3:1 control:HCQ ratio. Standard descriptive statistics and Student’s t-test and Chi-square test were used to assess the propensity-matched groups.

Results:

1,636 of 17,805 SSc patients (9.2%) were treated with HCQ for at least 6 months; out of these 3% (50/1636). had at least a baseline and follow-up HAQ-DI evaluation, (and 44/1636 (2.7%) had at least a baseline and follow-up CHFS evaluation. Propensity matching assured that pts were matched for demographic variables such as gender (mean on HCQ vs no HCQ:femals:92.0 vs 85.3), age(49.8 vs 49.97yrs) disease duration(8.3 vs 9.1 yrs), limited disease(55.3 vs 62.6%) as well as background medications (P>0.1-0.9). We did not find any significant changes in HAQ or CHFS (difference in slope) over 365 days of treatment, comparing the HCQ-treated group to the non-HCQ treated patients (p=0.240 for both (Figure 1).

Conclusion:

Results from the EUSTAR registry showed that HCQ was used by 9.2% of SSc patients. HCQ use did not improve the HAQ or CHFS, comparing HCQ users to non-HCQ users.

Disclosure of Interests:

Silvia Bellando Randone: None declared, Holly Wilhalme: None declared, Cosimo Bruni: None declared, Elise Siegert: None declared, Paolo Airò: None declared, Rosaria Irace: None declared, Oliver Distler: None declared, Andrea Doria: None declared, Lidia P. Ananieva: None declared, László Czirják: None declared, Christopher Denton: None declared, Yannick Allanore: None declared, Valeria Riccieri: None declared, ALESSANDRA VACCA: None declared, Ivan Foeldvari Consultant of: Gilead, Novartis, Pfizer, Hexal, BMS, Sanofi, MEDAC, Anna-Maria Hoffmann-Vold Speakers bureau: Actelion, Boehringer Ingelheim, Roche, Merck Sharp & Dohme, Lilly and Medscape, Consultant of: Actelion, Boehringer Ingelheim, Roche, Bayer, ARXX, and Medscape, Grant/research support from: Boehringer Ingelheim, Armando Gabrielli: None declared, Marco Matucci-Cerinic: None declared, Daniel Furst: None declared

[Reality of inpatient vasoactive treatment with prostacyclin derivatives in patients with acral circulation disorders due to systemic sclerosis in Germany]

Hintergrund

Das Raynaud-Phänomen und die damit häufig einhergehenden digitalen Ulzerationen stellen für Patienten mit systemischer Sklerose (Sklerodermie [SSc]) ein frühes und sehr belastendes Symptom mit bedeutenden Einschränkungen der Arbeitsfähigkeit und Lebensqualität dar. Der Einsatz vasoaktiver Medikamente (insbesondere intravenöser Prostazyklinderivate) soll helfen, das Risiko hypoxischer Gewebeschäden bis hin zum Verlust der Finger zu reduzieren.

Methoden

Um Aufschluss über die aktuelle Versorgung von Patienten mit Prostazyklinderivaten im klinischen Alltag in Deutschland zu erhalten, führten wir eine Umfrage unter den im Deutschen Netzwerk für systemische Sklerodermie (DNSS) zusammengeschlossenen Kliniken durch. Zusätzlich erfolgte eine separate Patientenbefragung über die Sklerodermie Selbsthilfe e. V., die sich nur auf die Symptome „Raynaud-Phänomen“ und „Digitale Ulzera“ und den Einsatz intravenöser Prostazyklinderivate bezog.

Ergebnisse

Von den befragten 433 Patienten gaben 56 % an, dass sie bereits aufgrund ihrer Erkrankung und Symptome mit Prostazyklinderivaten behandelt wurden. Insgesamt 61 % erhielten die Therapie aufgrund starker Raynaud-Symptomatik und 39 % aufgrund digitaler Ulzerationen. Die meisten Befragten erfuhren durch die Therapie nicht nur eine Verbesserung des Raynaud-Phänomens und der digitalen Ulzera, sondern auch eine wesentliche Verbesserung von Einschränkungen im Alltag. Sie gaben zudem an, wesentlich weniger fremde Hilfe in Anspruch genommen sowie wesentlich weniger Fehlzeiten bei der Arbeit gehabt zu haben.

Schlussfolgerung

Die Patienten empfanden durchweg einen positiven Effekt der Therapie mit Prostazyklinderivaten auf das Raynaud-Phänomen, ihre digitalen Ulzerationen, Schmerzen und Alltagseinschränkung und fühlten sich durch die stationäre Therapie gut und sicher betreut. Diese positiven Effekte in der Patientenwahrnehmung sind eine eindrückliche Stütze und bestätigen nachdrücklich die auf europäischer und internationaler Ebene erarbeiteten Therapieempfehlungen.

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AB0584 DOES ANTI-ACID TREATMENT INFLUENCE DISEASE PROGRESSION IN SYSTEMIC SCLEROSIS INTERSTITIAL LUNG DISEASE (SSC-ILD)? DATA FROM THE GERMAN SSC-NETWORK

Background:

Gastroesophageal reflux (GER) is common in SSc and thus treatment with anti-acid therapy (AAT) is frequent. An association between GER and the development / progression of SSc-ILD has been hypothesized. However, outcomes of AAT on disease progression in SSc-ILD has only sparsely been studied.

Objectives:

Methods:

The German Network for Systemic Scleroderma (DNSS), which includes SSc pts. prospectively, was analyzed for SSc-ILD. Those without progression at ILD 1stdiagnosis were categorized in AAT vs. no-AAT users and disease outcome was assessed.

Results:

SSc-ILD was reported in 1165 (28.2%) out of 4131 pts. 712 of SSc-ILD pts had no disease progression at ILD 1stdiagnosis. 567 used AAT while 145 did not. Baseline characteristics were similar between groups with regards to age (mean 54.7 years), BMI, time since SSc diagnosis and immunosuppressant use. Significant differences in no-AAT vs. AAT were found for gender (male 18% vs. 25%, p=0.05), SSc subtype (p=0.002, diffuse more common in AAT), lung function (DLCO 66% vs. 58%, p=0.001; FVC 86% vs. 77%, p=0.001), mRSS (8 vs. 11.5, p<0.01), esophageal involvement (32% vs. 56%, p<0.01) and steroid use (30% vs. 43%, p=0.005). While mortality did not differ between groups (3.9%, p= 0.59), disease progression was more common in the AAT group than in no-AAT users (24.5% vs. 13%, p=0.03). Furthermore, there was a significant difference in decline of FVC≥10% with 30% in the AAT compared to 14% in no-AAT (p=0.018); a decline in DLCO≥15% was more common in the AAT group by trend (23% vs. 14%, p=0.087).

Conclusion:

While results may have partially been biased by differences in baseline characteristics, this current analysis disfavors the approach of AAT use for SSc-ILD.

Disclosure of Interests:

Michael Kreuter Grant/research support from: Roche, Boehringer, Consultant of: Roche, Boehringer, Speakers bureau: Boehringer, Roche, Francesco Bonella Grant/research support from: Boehringer, Consultant of: Boehringer, Roche, Bristol MS, Galapagos, Speakers bureau: Boehringer, Roche, Gabriela Riemekasten Consultant of: Cell Trend GmbH, Janssen, Actelion, Boehringer Ingelheim, Speakers bureau: Actelion, Novartis, Janssen, Roche, GlaxoSmithKline, Boehringer Ingelheim, Pfizer, Ulf Müller-Ladner Speakers bureau: Biogen, Jörg Henes Grant/research support from: Novartis, Roche-Chugai, Consultant of: Novartis, Roche, Celgene, Pfizer, Abbvie, Sanofi, Boehringer-Ingelheim,, Elise Siegert Grant/research support from: Actelion, Consultant of: AEC, Speakers bureau: NA, Claudia Guenther: None declared, Ina Koetter Grant/research support from: Novartis, Roche, Speakers bureau: Abbvie, Actelion, Celgene, MSD, UCB, Sanofi, Lilly, Pfizer, Novartis, Chugai, Roche, Boehringer, Norbert Blank Speakers bureau: Actelion, Roche, Boehringer, Pfizer, Chugai, Christiane Pfeiffer: None declared, Marc Schmalzing: None declared, Gabriele Zeidler: None declared, PETER KORSTEN Grant/research support from: Novartis, Juarms GmbH, Consultant of: Abbvie, Pfizer, Lilly, BMS, Speakers bureau: Abbvie, Pfizer, chugai, BMS, Lilly, Sanofi aventis, Laura Susok: None declared, Aaron Juche: None declared, Margitta Worm Consultant of: Mylan Gemany, Bencard Allergie, BBV Technologies S.A., Novartis, Biotest, Sanofi, Aimmune Therapies, Regeneron, Speakers bureau: ALK-Abello, Novartis, Sanofi, Biotest, Mylan, Actelion, HAL Allergie, Aimmune Bencard Allergie, Ilona Jandova: None declared, Jan Ehrchen: None declared, Cord Sunderkoetter: None declared, Gernot Keyszer: None declared, Andreas Ramming Grant/research support from: Pfizer, Novartis, Consultant of: Boehringer Ingelheim, Novartis, Gilead, Pfizer, Speakers bureau: Boehringer Ingelheim, Roche, Janssen, Tim Schmeiser Speakers bureau: Actelion, UCB, Pfizer, Alexander Kreuter Speakers bureau: Sanofi, Abbvie, Merck Sharp&Dohme, Boehringer, Kathrin Kuhr: None declared, Hanns-Martin Lorenz Grant/research support from: Consultancy and/or speaker fees and/or travel reimbursements: Abbvie, MSD, BMS, Pfizer, Celgene, Medac, GSK, Roche, Chugai, Novartis, UCB, Janssen-Cilag, Astra-Zeneca, Lilly. Scientific support and/or educational seminars and/or clinical studies: Abbvie, MSD, BMS, Pfizer, Celgene, Medac, GSK, Roche, Chugai, Novartis, UCB, Janssen-Cilag, Astra-Zeneca, Lilly, Baxter, SOBI, Biogen, Actelion, Bayer Vital, Shire, Octapharm, Sanofi, Hexal, Mundipharm, Thermo Fisher., Consultant of: see above, Pia Moinzadeh: None declared, Nicolas Hunzelmann Speakers bureau: Actelion, Boehringer

FRI0265 IS AN IMPROVEMENT IN SKIN FIBROSIS ASSOCIATED WITH BETTER OUTCOME IN PATIENTS WITH SYSTEMIC SCLEROSIS? A EUSTAR ANALYSIS

Background:

In previous studies, we showed that in patients with diffuse cutaneous systemic sclerosis (dcSSc), worsening of skin fibrosis predicts later decline in lung function and worse survival. However, in many patients, an improvement of skin fibrosis is the natural course of dcSSc, and many current clinical trials are designed to show improvement of skin fibrosis rather than prevention of skin fibrosis progression.

Objectives:

To investigate whether an improvement in skin fibrosis is associated with less progression of visceral organ involvement and better overall-survival during follow-up.

Methods:

We evaluated patients from the European Scleroderma Trials and Research Group (EUSTAR) database with diffuse cutaneous systemic (dcSSc), baseline modified Rodnan skin score (mRSS) ≥7, valid mRSS at 12±3 months after baseline and ≥1 follow-up visit. Regression of skin fibrosis was defined as a decrease in mRSS >5 and ≥25% and progression as increase by the respective numbers from baseline to 12±3 months. Outcomes were pulmonary progression, cardiac progression, intestinal progression, new onset of scleroderma renal crisis and all-cause death using recently specified definitions (1). Associations between skin changes and outcomes were evaluated by Kaplan-Meier analysis and multivariable Cox regression.

Results:

Of 1257 included patients, 282 (22.4%) showed a regression of skin fibrosis, 883 (70.2%) were categorized as stable patients and 92 (7.3%) showed progression of skin fibrosis at 12±3 months. Median long-term follow-up for organ involvement/death was 4.2 years. Cox regression analyses indicated that skin fibrosis regression had a significantly lower probability of later FVC decline ≥10% than non-regressive (stable and progressive) patients when controlled for baseline mRSS (p=0.013). No significant association of skin fibrosis regression was found with other organ manifestations or all-cause death. Conversely, associations of skin fibrosis progression were found for later FVC decline ≥10% with a more significant p-value (p<0.001, Figure 1), and there was also an association with all cause death (p=0.026).

Conclusion:

Progression of skin fibrosis is stronger associated with organ changes and all-cause death at follow up than improvement of skin fibrosis. These data suggest a prevention of progression paradigm for clinical practice. They also suggest that clinical trials designed for prevention of skin fibrosis progression are more meaningful for long-term outcome of SSc patients than trials designed to show improvement of skin fibrosis

References:

[1]Progressive skin fibrosis is associated with a decline in lung function and worse survival in patients with diffuse cutaneous systemic sclerosis in the European Scleroderma Trials and Research (EUSTAR) cohort. Wu W, Jordan S, Graf N, de Oliveira Pena J, Curram J, Allanore Y, Matucci-Cerinic M, Pope JE, Denton CP, Khanna D, Distler O; EUSTAR Collaborators. Ann Rheum Dis. 2019 May;78(5):648-656

Disclosure of Interests:

Anja Wyss: None declared, Suzana Jordan: None declared, Nicole Graf: None declared, Elise Siegert Grant/research support from: Actelion, Consultant of: AEC, Speakers bureau: NA, László Czirják Consultant of: Actelion, BI, Roche-Genentech, Lilly, Medac, Novartis, Pfizer, Bayer AG, Andrea Doria Consultant of: GSK, Pfizer, Abbvie, Novartis, Ely Lilly, Speakers bureau: UCB pharma, GSK, Pfizer, Janssen, Abbvie, Novartis, Ely Lilly, BMS, Alessandro Giollo: None declared, Edoardo Rosato: None declared, Anna-Maria Hoffmann-Vold Grant/research support from: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Actelion, Bayer, GlaxoSmithKline, Speakers bureau: Boehringer Ingelheim, Actelion, Roche, Armando Gabrielli: None declared, Oliver Distler Grant/research support from: Grants/Research support from Actelion, Bayer, Boehringer Ingelheim, Competitive Drug Development International Ltd. and Mitsubishi Tanabe; he also holds the issued Patent on mir-29 for the treatment of systemic sclerosis (US8247389, EP2331143)., Consultant of: Consultancy fees from Actelion, Acceleron Pharma, AnaMar, Bayer, Baecon Discovery, Blade Therapeutics, Boehringer, CSL Behring, Catenion, ChemomAb, Curzion Pharmaceuticals, Ergonex, Galapagos NV, GSK, Glenmark Pharmaceuticals, Inventiva, Italfarmaco, iQvia, medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Roche, Sanofi and UCB, Speakers bureau: Speaker fees from Actelion, Bayer, Boehringer Ingelheim, Medscape, Pfizer and Roche

Classification, categorization and essential items for digital ulcer evaluation in systemic sclerosis: a DeSScipher/European Scleroderma Trials and Research group (EUSTAR) survey

BACKGROUND

A consensus on digital ulcer (DU) definition in systemic sclerosis (SSc) has been recently reached (Suliman et al., J Scleroderma Relat Disord 2:115-20, 2017), while for their evaluation, classification and categorisation, it is still missing. The aims of this study were to identify a set of essential items for digital ulcer (DU) evaluation, to assess if the existing DU classification was useful and feasible in clinical practice and to investigate if the new categorisation was preferred to the simple distinction of DU in recurrent and not recurrent, in patients with systemic sclerosis (SSc).

METHODS

DeSScipher is the largest European multicentre study on SSc. It consists of five observational trials (OTs), and one of them, OT1, is focused on DU management. The DeSScipher OT1 items on DU that reached ≥ 60% of completion rate were administered to EUSTAR (European Scleroderma Trials and Research group) centres via online survey. Questions about feasibility and usefulness of the existing DU classification (DU due to digital pitting scars, to loss of tissue, derived from calcinosis and gangrene) and newly proposed categorisation (episodic, recurrent and chronic) were also asked.

RESULTS

A total of 84/148 (56.8%) EUSTAR centres completed the questionnaire. DeSScipher items scored by ≥ 70% of the participants as essential and feasible for DU evaluation were the number of DU defined as a loss of tissue (level of agreement 92%), recurrent DU (84%) and number of new DU (74%). For 65% of the centres, the proposed classification of DU was considered useful and feasible in clinical practice. Moreover, 80% of the centres preferred the categorisation of DU in episodic, recurrent and chronic to simple distinction in recurrent/not recurrent DU.

CONCLUSIONS

For clinical practice, EUSTAR centres identified only three essential items for DU evaluation and considered the proposed classification and categorisation as useful and feasible. The set of items needs to be validated while further implementation of DU classification and categorisation is warranted.

TRIAL REGISTRATION

Observational trial on DU (OT1) is one of the five trials of the DeSScipher project (ClinicalTrials.gov; OT1 Identifier: NCT01836263 , posted on April 19, 2013).

[Pulmonary fibrosis in rheumatic diseases]

Rheumatic diseases are frequently complicated by secondary pulmonary diseases, which often impair the quality of life and increase the mortality of patients. A correct classification of such pulmonary complications is important to ensure appropriate treatment and optimal prognosis. The diagnostic and therapeutic challenge is to find the precise diagnosis and appropriate therapy among the multitude of potential causes for respiratory symptoms. It is important to maintain a cautious approach to invasive diagnostics, even though the differential diagnostics of infections or toxic lung disease might be crucial. The situation is further complicated by the frequent lack of evidence for therapies. Especially in the case of pulmonary fibrosis which is comparable to cancer in its complexity and high mortality, the diagnostics and therapy should be discussed in appropriate interdisciplinary boards.

Interstitial lung disease increases mortality in systemic sclerosis patients with pulmonary arterial hypertension without affecting hemodynamics and exercise capacity

Published data suggest that coexisting interstitial lung disease (ILD) has an impact on mortality in patients with systemic sclerosis (SSc) and pulmonary arterial hypertension (PAH), but there is scarce knowledge if this is reflected by hemodynamics, exercise capacity, autoantibody profile, or pulmonary function. In this partially retrospective study, 27 SSc-PAH patients were compared to 24 SSc-PAH patients with coexisting ILD respecting to survival, pulmonary function, hemodynamics, exercise capacity, and laboratory parameters. Survival was significantly worse in SSc-PAH-ILD patients than in SSc patients with isolated PAH (1, 5, and 10-year survival rates 86, 54, and 54% versus 96, 92, and 82%, p = 0.013). Compared to isolated SSc-PAH patients, patients with SSc-PAH-ILD revealed lower forced expiratory volume after 1 s (FEV1) values at the time of PAH diagnosis as well as 1 and 2 years later (p = 0.002) without significant decrease in the PAH course in both groups. At PAH diagnosis, diffusion capacity for carbon monoxide (DLCO) values were lower in the ILD-PAH group. Coexisting ILD was not associated with lower exercise capacity, different FEV1/forced vital capacity (FVC) ratio, higher WHO functional class, or reduced hemodynamics. Higher levels of antibodies against angiotensin and endothelin receptors predict mortality in all SSc-PAH patients but could not differentiate between PAH patients with and without ILD. Our study confirmed an impact of ILD on mortality in SSc-PAH patients. Pulmonary function parameters can be used to distinguish PAH from PAH-ILD. The higher mortality rate cannot be explained by differences in hemodynamics, exercise capacity, or autoantibody levels. Mechanisms of mortality remain to be studied.

[Sex-specific differences of the immune system]

BACKGROUND

Sex-specific differences in the prevalence and severity of immune disorders are well-known phenomena; however, it is only recently that we have begun to understand the possible causes of such differences.

MATERIAL AND METHODS

A literature search on this topic was carried out and the results are summarized.

RESULTS

In the last few years research has been guided by technological advances in gene sequencing and new insights into the microbiome of the gut, as well as an awareness of sex- and gender-specific risk factors for infections and autoimmunity.

CONCLUSION

The knowledge acquired in recent years will not only improve diagnostics and early identification of these disorders but also influence future research, prevention and therapy of infections and autoimmune diseases.

The development of lymphomas in families with autoimmune lymphoproliferative syndrome with germline Fas mutations and defective lymphocyte apoptosis

Lymphomas were studied in kindreds with autoimmune lymphoproliferative syndrome (ALPS; Canale-Smith syndrome), a disorder of lymphocyte homeostasis usually associated with germline Fas mutations. Fas (CD95/APO-1) is a cell surface receptor that initiates programmed cell death, or apoptosis, of activated lymphocytes. Lymphoma phenotype was determined by immunohistochemistry, frequency of CD3(+)CD4(-)CD8(-) T-cell-receptor alpha/beta cells by flow cytometry, nucleotide sequences of the gene encoding Fas (APT1, TNFRSF6), and the percentage of lymphocytes undergoing apoptosis in vitro. Of 223 members of 39 families, 130 individuals possessed heterozygous germline Fas mutations. Eleven B-cell and T-cell lymphomas of diverse types developed in 10 individuals with mutations in 8 families, up to 48 years after lymphoproliferation was first documented. Their risk of non-Hodgkin and Hodgkin lymphomas, respectively, was 14 and 51 times greater than expected (each P <.001). Investigation of these 10 patients and their relatives with Fas mutations revealed that all had defective lymphocyte apoptosis and most had other features of ALPS. The tumor cells retained the heterozygous Fas mutations found in the peripheral blood and manifested defective Fas-mediated killing. These data implicate a role for Fas-mediated apoptosis in preventing B-cell and T-cell lymphomas. Inherited defects in receptor-mediated lymphocyte apoptosis represent a newly appreciated risk factor for lymphomas.

Shift of aberrant antigen expression at relapse or at treatment failure in acute leukemia

The flow cytometric detection of aberrant antigen expression is one method proposed for the quantification of minimal residual disease (MRD) in acute leukemias. The present study was designed to investigate the stability of the aberrant antigen expression at relapse or at treatment failure of initial chemotherapy. For this purpose, multiparameter immunophenotyping with a panel of 15 monoclonal antibodies was used at diagnosis as well as at relapse (43 patients with overall 65 aberrations) and at treatment failure (35 patients with overall 66 aberrations). There was a significant decrease in the percentage of the initially described aberrant antigen expression on leukemia blasts at relapse (P = 0.001; n = 65) as well as at treatment failure (P = 0.0001; n = 66) considering all aberrations in the whole leukemia population. Concerning only patients with acute myelogenous leukemia (AML), significant decreases in the aberrant expression could be detected at relapse (P = 0.031; n = 42) and at treatment failure (P = 0.0001; n = 52). The changes in patients with acute lymphoblastic leukemia (ALL) were significant only at relapse (P = 0.006; n = 23). Initially, the most informative aberration was not detectable in four patients at relapse and in seven patients at treatment failure. A decrease of under 50% of the initial value was observed in another 8 patients at relapse and in 10 patients at treatment failure. In further studies assessing the detection of aberrant antigen expression for MRD, quantification of the relapses should be explicitly analyzed regarding the persistence of the initially described aberrant antigen expression.

Clinical importance of prothrombotic risk factors in pediatric patients with malignancy--impact of central venous lines

To evaluate the role of inherited thrombophilia in the development of central venous line (CVL)-related thrombosis, the following parameters were determined in 77 pediatric-oncologic patients with CVL: activated protein C (APC)-ratio, factor V (FV) G1691A and prothrombin G20210A mutation, protein C, protein S, antithrombin, coagulation factor XII, lipoprotein (a) and homocysteine. An inherited prothrombotic risk factor was found in 17 patients (23%). Four out of 14 patients with a single detect (hyperlipoproteinemia, heterozygous FV G1691A and prothrombin G20210A mutation, protein C deficiency type I) and all three patients with combined defects (heterozygous FV G1691A mutation combined with heterozygous prothrombin G20210A variant, protein S deficiency or hyperlipoproteinemia) suffered from CVL-related thrombosis. In 11 out of 77 patients (14%) a CVL-related thrombosis was detected. In 2 children thrombosis occurred a few days after asparaginase therapy and in another three thrombosis was associated with CVL-related septicemia caused by Staphylococcus epidermidis. After removal of CVL, thrombosis was detected in 5 children, in 2 without clinical symptoms but in the presence of inherited prothrombotic risk factors.

CONCLUSION

The present study demonstrates the clinical importance of CVL in combination with inherited thrombophilia in the development of thrombosis in pediatric-oncologic patients. Before or shortly after insertion of CVL, patients should be tested for the presence of factor V G1691A mutation, prothrombin G20210A variant and increased lipoprotein (a) values.

Non-Hodgkin lymphoma (NHL) as a second neoplasm occurring after neuroblastoma treatment

As far as we know, this is the first report of a non-Hodgkin lymphoma developing after successful treatment of neuroblastoma. A boy was found to have a mediastinal T-cell lymphoma at the age of 5. He had been treated for a neuroblastoma of the left adrenal region 4 years before, when by intensive chemotherapy and radiation a complete remission of the primary tumor was achieved. The second malignancy has also been controlled without evidence of recurrence 1 year after termination of treatment. We conclude that treatment of a neuroblastoma by cytostatic drugs and radiation may lead to a non-Hodgkin lymphoma as a second malignancy.

[Encephalopathy in leukemia treatment in children]

Side effects on the central nervous system by antileukemic treatment have been well known for a long time. We report on 2 patients suffering from a severe encephalopathy during antileukemic therapy. Furthermore the results of cerebral computer tomography in 50 children with acute leukemia have been analysed. In 21 patients morphological findings were evident. Four patients had CCT-changes already before the beginning of their treatment. Initially in 2 patients leukemic cerebral infiltrations were detected. The importance of the computer tomography for the detection of cerebral affections by disease and treatment is demonstrated.

Atrial and ventricular myosins from human hearts. I. Isoenzyme distribution during development and in the adult

Two distinct types of native isomyosins, referred to as human fetal HF and human ventricular myosin HV-3, have been identified in the human fetal heart during two different periods of gestation and in the neonatal state, whose relative parts change with development. In the adult ventricle, only HV-3 was found. Two myosin isoforms designated as HA-3 and HA-1 occur in the atrial myocardium of the normal human heart, which are electrophoretically distinct from the fetal isoenzymes. In fetal tissue, the myosin light chain complement is composed of atrial and ventricular light chains. In support of recent results, we also found identical spots from the atrial ALC-1 and the fetal light chain FLC, suggesting a homology between them. Apart from the light chains typical for this tissue, the atrial myocardium also contains ventricular light chains. Therefore we hypothesize that atrial myosin consists of two atrial isoenzymes and presumably of a ventricular type, too. Differences between atrial and ventricular myosin from human hearts were demonstrated by measuring the temperature dependence of the Ca2+-ATPase.