Unplanned Extubation in the Pediatric Intensive Care Unit

Unplanned extubations (UEs) are common, potentially avoidable complications of endotracheal intubation among pediatric patients. UE can be associated with adverse patient outcomes including increased length of stay, hospitalization cost, and cardiorespiratory decompensation. Inconsistency in the definition of UE has led to underreporting. Staff must be able to recognize and intervene appropriately when an UE occurs. Risk factors have been identified and quality improvement initiatives aimed at reducing UE have shown to be effective in reducing the incidence. The lack of consistent definition may lead to underreporting and may not lead to effective quality improvement initiatives.

POS0873 PERSISTENT INFLAMMATION IN SYSTEMIC SCLEROSIS IS STRONGLY ASSOCIATED WITH SEVERE DISEASE AND MORTALITY: AN ANALYSIS FROM THE EUSTAR DATABASE

Background

Systemic sclerosis (SSc) is a heterogeneous autoimmune disease, with a high disease-related mortality and morbidity. A subset of patients show elevated CRP levels (20-35%), which has been reported as inflammatory SSc. Preliminary data suggest that this subset is characterized by a severe phenotype.

Objectives

To analyse the phenotype and the survival of inflammatory compared with non-inflammatory SSc patient subsets.

Methods

Data from 8571 SSc patients with available CRP measurement from the EUSTAR cohort were analysed. Exclusion criteria included acute infection, missing follow-up and tocilizumab treatment. Patients with a CRP ≥5mg/l at ≥80% of visits were stratified as persistent inflammatory and as non-inflammatory if CRP was ≥5 mg/l at <20% of visits (as described previously (1)). As a sensitivity analysis, patients were defined as inflammatory and non-inflammatory based on a single CRP measurement at baseline only (CRP ≥5 or <5mg/l, respectively). We compared baseline characteristics using Chi-square and non-parametric Kruskal–Wallis tests as appropriate. Kaplan Meier curves with log-rank tests were used to estimate time from baseline to death or censoring, and Cox regression to compare mortality risks adjusted for time from diagnosis to baseline.

Results

Out of 2883 patients with more than two visits, 404 (14%) showed persistent inflammation and 1032 (36%) a non-inflammatory phenotype. Out of 5619 patients with more than one visit, 1830 (33%) were stratified as inflammatory as defined by as single CRP measurement at baseline and 3789 (67%) as non-inflammatory. With both definitions, the inflammatory subset revealed a more severe phenotype than non-inflammatory patients, including more frequent diffuse-cutaneous disease, anti-Scl-70 autoantibodies, pulmonary fibrosis, pulmonary hypertension, higher modified Rodnan skin score, and lower forced vital capacity and diffusing capacity for carbon monoxide. Patients with persistent inflammation had a strongly increased risk of all-cause mortality (HR 7.1 [95%CI 3.7 to 13.5], p<0.001) compared to non-inflammatory patients, whereas this association was weaker when based on a single CRP measurement (HR 2.6 [95%CI 2.1 to 3.2], p<0.001).

Conclusion

The severe phenotype and decreased survival of the inflammatory SSc subset, which was most prominent in patients with persistently elevated CRP levels, suggest a distinct disease subset. Therefore both, the need for more regular monitoring of inflammatory parameters and implications for immune-modulating treatment, needs to be carefully analysed.

References

[1]Mitev, A., et al., Inflammatory stays inflammatory: a subgroup of systemic sclerosis characterized by high morbidity and inflammatory resistance to cyclophosphamide. Arthritis Res Ther, 2019. 21(1): p. 262. PMID: 31791379

Figure 1.

Overall mortality from baseline onward a. by persistent inflammatory phenotype, b. by inflammatory phenotype at baseline

Disclosure of Interests

Adela-Cristina Sarbu: None declared, Sabina Guler: None declared, Odile Stadler: None declared, Yannick Allanore: None declared, Vera Bernardino: None declared, Jörg H.W. Distler: None declared, Armando Gabrielli: None declared, Anna-Maria Hoffmann-Vold: None declared, Marco Matucci-Cerinic: None declared, Ulf Müller-Ladner: None declared, Vera Ortiz-Santamaria: None declared, Simona Rednic: None declared, Valeria Riccieri: None declared, Vanessa Smith: None declared, Susanne Ullman: None declared, Ulrich Walker: None declared, Thomas Geiser: None declared, Oliver Distler: None declared, Britta Maurer Speakers bureau: Boehringer-Ingelheim, Consultant of: Novartis, Boehringer Ingelheim, Janssen-Cilag, Grant/research support from: AbbVie, Protagen, Novartis Biomedical Research, Florian Kollert Shareholder of: Roche, Consultant of: BMS, Actelion, Boehringer-Ingelheim, Pfizer, Grant/research support from: Roche, Gilead, Pfizer, Employee of: Roche

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.

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)

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

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)

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.

OP0150 MACHINE LEARNING APPROACHES FOR RISK MODELLING IN INTERSTITIAL LUNG DISEASE ASSOCIATED WITH SYSTEMIC SCLEROSIS USING HIGH DIMENSIONAL IMAGE ANALYSIS

Background:

The interstitial lung disease (ILD) associated with connective tissue diseases including systemic sclerosis (SSc) is heterogenous disease characterized by reduced survival of approximately 3 years (1). “Radiomics’’ is a field of research which describes the in-depth analysis of tissues by computational retrieval of high-dimensional quantitative features from medical images (2). Our previous study suggested capacity of radiomics features to differentiate between “high” and “low” risk groups for lung function decline in two independent cohorts (3).

Objectives:

  •bTo develop robust, machine learning (ML) workflow for “radiomics” data in SSc-ILD to select optimal methods for prediction.

  •oTo predict the time to individual lung function decline defined as defined by the time to a relative decline of ≥ 15% in Forced Vital Capacity (FVC)% as previously (3), using workflow.

Methods:

We investigated two cohorts of SSc-ILD: 90 patients (76.7% female, median age 57.5 years) from the University Hospital Zurich and 66 patients (75.8% female, median age 61.0 years) from Oslo University Hospital’s. Patients were retrospectively selected if (3): a) diagnosed with early/mild SSc according to the Very Early Diagnosis of Systemic Sclerosis (VEDOSS) criteria, b) presence of ILD on HRCT as determined by a senior radiologist. For every subject, we defined 1,355 robust radiomic features from HRCT images. The follow-up period was defined as the time interval between baseline visit and the last available follow-up visit.

We have developed a systematic computational workflow to build predictive ML models. To reduce the number of redundant radiomic features, we applied correlation thresholds. We applied distinct methods including 1) Lasso Penalized Regression for feature selection, and 2) Random Forest (RF) for modeling using the R package ‘caret’. To select the optimal ML model, we randomly divided derivation cohort into Training (70%) and Holdout (30%) sets and applied fivefold cross-validation (5kCV) for feature and classifier selection on Training set only.

Results:

We have investigated various methods to select the optimal set of predictive radiomic features. Since the ML model performance is affected by both, feature, and classifier selection, we assessed these factors first.

Results from feature filtering and selection, suggested that the combination of correlation threshold of 0.9 with Lasso regression proved best. As we perform feature selection in 5k CV workflow, features present in at least 2 sets entered model optimization step.

During model selection, we selected RF classifier. We detected positive correlation between actual and predicted values with Spearman’s rho = 0.313, p = 0.167 and Spearman’s rho = 0.341, p = 0.015 in Oslo and Holdout sets respectively, as shown on Figure 1. The percentage of variance remained modest for both Holdout (Rsq = 0.104) and Oslo (Rsq = 0.126) datasets.

Figure 1.

Performance of the best, RF classifier shown as scatterplot between actual and predicted values of individual time to lung decline.

Conclusion:

In summary, we: (1) developed ML workflow that allowed to select o optimal methodology for modeling (i.e., feature and classifier selection), and (2) provide models that predicted time to individual lung function decline, characterized by significant correlation between predicted and actual values.

References:

[1]Hansell DM, Goldin JG, King TE, Jr., Lynch DA, Richeldi L, Wells AU. CT staging and monitoring of fibrotic interstitial lung diseases in clinical practice and treatment trials: a position paper from the Fleischner Society. Lancet Respir Med. 2015;3(6):483-96.

[2]Lambin, P. et al. Radiomics: extracting more information from medical images using advanced feature analysis. Eur. J. Cancer 48, 441–446 (2012).

[3]Schniering J. et al. Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics. https://www.medrxiv.org/content/10.1101/2020.06.09.20124800v1

Disclosure of Interests:

None declared

AB0411 CHALLENGES IN THE MANAGEMENT OF MIXED CONNECTIVE TISSUE DISEASE: A RETROSPECTIVE ANALYSIS OF THE MCTD COHORT IN A TERTIARY REFERRAL CENTRE

Background:

As a rare, complex, and heterogeneous disease, mixed connective tissue disease (MCTD) represents a challenge for clinical practice.

Objectives:

We aimed to unravel potential pitfalls including correct referral diagnosis, fulfilment of diagnostic criteria, distinction from other CTDs, disease course and activity, and treatment modalities.

Methods:

We analysed the prospectively collected MCTD cohort at our tertiary referral centre. The patients’ medical histories were investigated for fulfilment of Sharp’s (1), Kasukawa’s (2), and Alarcón-Segovia’s (3) diagnostic MCTD criteria. We defined overlap syndromes as simultaneous fulfilment of clinical as well as immunological criteria of two defined rheumatic diseases. Disease conversion was defined as emergence of new symptoms and autoantibodies consistent with another rheumatic disease. Remission was defined by simultaneous systemic lupus erythematosus disease activity index 2000 (SLEDAI-2 K) of 0 and European League Against Rheumatism scleroderma trial and research (EUSTAR) activity index <2.5. Disease phenotype and disease activity were monitored over time and all patients were evaluated for fulfilment of classification criteria of various connective tissue diseases.

Results:

Out of 85 patients initially referred as MCTD, only one third fulfilled the diagnostic MCTD criteria. Most of the remaining patients had undifferentiated CTD (29%) or overlap syndromes (20%). In our final cohort of 33 MCTD patients, 6 (48%) also met the classification criteria of systemic sclerosis, 13 (39%) those of systemic lupus erythematosus (SLE), 6 (18%) those of rheumatoid arthritis, and 3 (9%) those of primary myositis. Over the median observation period of 4.6 (1.6, 9.9) years, only two patients (6%) underwent disease conversion from MCTD to SLE and no patient converted towards other diseases. The number of patients in remission increased from 6 (18%) to 15 (45%) due to introduction of immune modulatory treatment. Combination therapy was favoured in most cases (17 patients, 52%), whereas monotherapy was less frequent (12 patients, 36%), and only 4 (12%) patients remained without immune modulators until the end of the follow-up period. Hydroxychloroquine, prednisone, and methotrexate were the most frequently used medications in our cohort.

Conclusion:

Our study showed a high risk for misdiagnosis for patients with MCTD. Phenotype conversion was a very rare event. As a multi-organ disease, MCTD required prolonged (combined) immunosuppressive therapy to achieve remission. The establishment of an international registry with longitudinal data from observational multi-centre cohorts might represent a first step to address the many unmet needs of MCTD.

References:

[1]Sharp GC. Diagnostic criteria for classification of MCTD. In: Kasukawa R, Sharp GC, editors. Mixed connective tissue disease and anti-nuclear antibodies: proceedings of the International Symposium on Mixed Connective Tissue Disease and Anti-nuclear Antibodies, Tokyo, 29-30 August 1986. no. 719. Amsterdam: Elsevier Science Publishers B.V. (Biomedical Division); 1987. p. 23-30.

[2]Kasukawa R, Tojo T, Miyawaki S, Yoshida H, Tanimoto K, Nobunaga M, et al. Preliminary diagnostic criteria for classification of mixed connective tissue disease. In: Kasukawa R, Sharp GC, editors. Mixed connective tissue disease and anti-nuclear antibodies: proceedings of the International Symposium on Mixed Connective Tissue Disease and Anti-nuclear Antibodies, Tokyo, 29-30 August 1986. no. 719. Amsterdam: Elsevier Science Publishers B.V. (Biomedical Division); 1987. p. 41-7.

[3]Alarcón-Segovia D, Villarreal M. Classification and diagnostic criteria for mixed connective tissue disease. In: Kasukawa R, Sharp GC, editors. Mixed connective tissue disease and anti-nuclear antibodies: proceedings of the International Symposium on Mixed Connective Tissue Disease and Anti-nuclear Antibodies, Tokyo, 29-30 August 1986. no. 719. Amsterdam: Elsevier Science Publishers B.V. (Biomedical Division); 1987. p. 33-40.

Disclosure of Interests:

Adrian Wanzenried: None declared, Alexandru Garaiman: None declared, Suzana Jordan: None declared, Oliver Distler Consultant of: O.D. had consultancy relationship and/or has received research funding from Abbvie, Actelion, Acceleron Pharma, Amgen, AnaMar, Baecon Discovery, Blade Therapeutics, Bayer, Boehringer Ingelheim, Catenion, Competitive Drug Development International Ltd, CSL Behring, ChemomAb, Curzion Pharmaceuticals, Ergonex, Ga-lapagos NV, Glenmark Pharmaceuticals, GSK, Inventiva, Italfarmaco, iQone, iQvia, Lilly, medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Novartis, Pfizer, Roche, Sanofi, Target Bio Science and UCB in the area of potential treatments of scleroderma and its complications., Britta Maurer Consultant of: Boehringer-Ingelheim, Grant/research support from: AbbVie, Protagen, and Novartis Biomedical Research as well as congress support from Pfizer, Roche, Actelion, mepha, and MSD.

POS0795 ULTRASOUND-GUIDED CORE NEEDLE BIOPSY: AN EFFECTIVE AND SAFE TOOL TO DIAGNOSE SJÖGREN`S SYNDROME AND LYMPHOMA OF THE MAJOR SALIVARY GLANDS

Background:

Histopathology is a cornerstone of diagnostics in Sjögren`s syndrome (SjS). The current widely accepted standard, minor salivary gland (lip) biopsy, is a surgical procedure with several disadvantages including permanent sensory loss of the lips as a well-known complication (reviewed in 1). Moreover, lymphoma of salivary glands cannot be excluded. Ultrasound-guided core needle biopsy (CNB) is an excellent diagnostic tool with good safety (2) and encouraging results as compared to open biopsy (3).

Objectives:

To retrospectively analyze safety and diagnostic outcome of ultrasound-guided CNB in patients with known or suspected SjS.

Methods:

A retrospective analysis of a case series of four patients with known or suspected SjS. All patients were treated at the outpatient clinic of the Department of Rheumatology & Immunology, and the Department of Otorhinolaryngology. All patients underwent ultrasound-guided CNB: We clean and disinfect the ultrasound transducer and the skin of the patient before and after the procedure. We use a sterile probe cover and gloves. Only sterile ultrasound gel or ultrasound compatible disinfectant should be used. Core-needle biopsy was performed using a 20 g needle (Bard). A Logiq S8 GE ultrasound device with a 6-15 MHz matrix linear transducer was used. We performed a local anesthesia at the entry point and a 2mm skin incision. The sampling length was set on 20mm. The CNB was performed at the most suspicious focal sonographic lesion. 2-3 needle passes were carried out through the same skin access.

Results:

Representative histopathological samples were obtained from all patients. In patient 1 (62y) with known SjS and parotid swelling, mucosa-associated lymphoid tissue (MALT) lymphoma was diagnosed (previous lip biopsy with no proof of malignancy). Also in patient 2 (35y) with known SjS and a 20-years history of parotid swelling, MALT lymphoma was diagnosed. In this patient a lip biopsy was performed in the previous year supporting the diagnosis of SjS, but without proof of malignancy. In patient 3 (64y) with SSc, anti-Ro/SSA positivity and dry eyes and mouth, the biopsy established the diagnosis of SjS. In patient 4 (59y) with SSc, negative anti-Ro/SSA antibodies and dry eyes/mouths, SjS could be excluded. In the corresponding ultrasound, all patients showed hypoechogenic lesions and inhomogeneous parenchyma of major salivary glands reflecting OMERACT grade II-III SjS ultrasound score (4). No safety signals were observed. Patients with prior lip biopsies perceived ultrasound-guided CNB as preferable.

Conclusion:

This pilot study suggests that ultrasound-guided CNB in SjS is a safe procedure with an excellent diagnostic yield allowing the diagnosis of lymphoma of the salivary glands, which is superior to lip biopsy. Given these encouraging results, we will now increase patient numbers for further validation.

References:

[1]Pijpe, J., et al., Parotid gland biopsy compared with labial biopsy in the diagnosis of patients with primary Sjogren’s syndrome. Rheumatology (Oxford), 2007. 46(2): p. 335-41.

[2]Kim, H.J. et al., Ultrasound-guided core needle biopsy in salivary glands: A meta-analysis. Laryngoscope, 2018. 128(1): p. 118-125.

[3]Zabotti, A. et al., Ultrasound-guided core needle biopsy compared with open biopsy: a new diagnostic approach to salivary gland enlargement in Sjögren’s syndrome? Rheumatology (Oxford). 2020.17:keaa441. Epub ahead of print.

[4]Jousse-Joulin, S., et al., Video clip assessment of a salivary gland ultrasound scoring system in Sjogren’s syndrome using consensual definitions: an OMERACT ultrasound working group reliability exercise. Ann Rheum Dis, 2019. 78(7): p. 967-973.

Disclosure of Interests:

Urs Borner: None declared, Lluis Nisa Hernandez: None declared, Adela-Cristina Sarbu: None declared, Lisa Christ Shareholder of: Roche, Grant/research support from: Gilead, Roche, Pfizer, Yara Banz: None declared, Britta Maurer Speakers bureau: Boehringer-Ingelheim, Grant/research support from: Abbvie, Protagen, Novartis Biomedical Research and congress support from Pfizer, Roche, Actelion, mepha, and MSD. BM has a patent for mir-29 for the treatment of systemic sclerosis issued (US8247389, EP233143)., Marco D. Caversaccio Grant/research support from: Medel, Cochlear, Oticon, Storz, Florian Kollert Shareholder of: Roche, Consultant of: Actelion, BMS, Boehringer-Ingelheim, Pfizer, Grant/research support from: Gilead, Pfizer, Employee of: In the past at Novartis, currently at Roche

POS0866 TWO-DIMENSIONAL HRCT-BASED RADIOMIC FEATURES IN SSC-ILD DISTINGUISH DRUG RESPONDERS FROM NON-RESPONDERS

Background:

Management of patients with systemic sclerosis-associated interstitial lung disease (SSc-ILD) is complicated by high inter-patient variability. To date, no validated predictors of treatment response are available for routine use. High resolution computed tomography (HRCT)-based radiomics, i.e. the high-dimensional, quantitative analysis of imaging metadata, have previously been shown to be successful in discriminating (SSc-)ILD phenotypes in preclinical and clinical studies1. Since HRCT is an integral part of the routine work-up in SSc, HRCT-based radiomic features may hold potential as non-invasive biomarkers.

Objectives:

To predict treatment response using two-dimensional (2D) HRCT-based radiomics in SSc-ILD patients from a prospectively followed cohort.

Methods:

Inclusion criteria were diagnosis of SSc-ILD in HRCT, availability of a suitable chest HRCT scan within 12 months prior to initiation of a new treatment, and availability of clinical baseline and follow-up information. Treatment response was defined as the absence of all of the following over a follow-up period of 12-24 months: relative decrease in forced vital capacity (FVC) ≥5%, increase of ILD in HRCT as assessed by a radiologist, change in treatment regimen due to insufficient response, ILD-related death or lung transplantation. Of each pre-treatment HRCT, 6 slices (15±5 mm apart, starting from the basal lung margin) were manually segmented and 1513 2D radiomic features were extracted using the in-house software Z-Rad (Python 2.7). Features were Z-score transformed and pre-filtered for inter- and intra-reader robustness (intraclass correlation coefficient >0.85) and inter-feature correlation (Spearman’s rho <0.9). A categorical linear regression model was created using 3-fold cross-validated elastic nets for feature selection. Features were then summarized and divided by their number. For generation of a score cut-off, Youden’s score was used. For two-group analyses of continuous variables, Wilcoxon’s test was performed, whereas categorical data was assessed using Fisher’s exact test.

Results:

A total of 64 pre-treatment HRCTs from 54 patients were analyzed. In 9 patients, >1 asynchronous treatments were assessed, while 45 patients had only 1 eligible treatment approach. The response rate within the assessed follow-up period was 45.3% (n=29). For score generation, 13 radiomic features were selected and an optimal cut-off value of -0.1589 was determined. Univariate linear regression showed significant association between our categorical radiomics-based score and treatment response (p=0.007, area under the curve = 0.65 (0.51-0.79), sensitivity=0.90, specificity=0.43), whereby a high score was predictive for treatment response.

No differences between patients with high (n=46) or low (n=18) scores were detected for baseline age (mean±SD=55.5±12.0 and 55.5±13.6 years, p=0.84), duration of SSc (mean±SD=6.2±8.4 and 4.7±4.4 years, p=0.79), time since ILD diagnosis (2.7±2.9 and 2.4±3.1 years, p=0.59), FVC (77.6±20.6 and 80.1±17.9, p=0.41) or DLco (54.4±21.0 and 57.6±18.9, p=0.40). Distribution of anti-Scl-70 positivity (45.7% vs. 55.6%, p=0.58) and diffuse cutaneous disease (47.7% vs. 61.1%, p=0.41) was not significantly different between patients with high and low scores, respectively, although a trend towards higher percentages in the high score group was observed.

Conclusion:

Our results indicate that, following validation in external cohorts, radiomics may be a promising tool for future pre-treatment patient stratification. Moreover, our radiomics-based score seems not to be associated with commonly studied clinical predictors such as anti-Scl-70 positivity or lung function, underlining a possible additive value to ‘traditional’ clinical parameters.

References:

[1]Schniering, J., et al. Resolving phenotypic and prognostic differences in interstitial lung disease related to systemic sclerosis by computed tomography-based radiomics. medRxiv [Preprint] doi:10.1101/2020.06.09.20124800 (2020).

Disclosure of Interests:

Chantal Meier: None declared, Malgorzata Maciukiewicz: None declared, Matthias Brunner: None declared, Janine Schniering: None declared, Hubert Gabrys: None declared, Anja Kühnis: None declared, Oliver Distler Speakers bureau: Speaker fee on Scleroderma and related complications: Bayer, Boehringer Ingelheim, Medscape, Novartis, Roche. Speaker fee on rheumatology topic other than Scleroderma: MSD, iQone, Novartis, Pfizer, Roche, Consultant of: Consultancy fee for Scleroderma and its complications: Abbvie, Acceleron Pharma, Amgen, AnaMar, Arxx Therapeutics, Bayer, Baecon Discovery, Boehringer, CSL Behring, ChemomAb, Corbus Pharmaceuticals, Horizon Pharmaceuticals, Galapagos NV, GSK, Glenmark Pharmaceuticals, Inventiva, Italfarmaco, iQvia, Kymera, Medac, Medscape, Mitsubishi Tanabe Pharma, MSD, Roche, Roivant Sciences, Sanofi, UCB. Consultancy fee for rheumatology topic other than Scleroderma: Abbvie, Amgen, Lilly, Pfizer, Grant/research support from: Research Grants to investigate the pathophysiology and potential treatment of Scleroderma and its complications: Kymera Therapeutics, Mitsubishi Tanabe, Thomas Frauenfelder: None declared, Stephanie Tanadini-Lang: None declared, Britta Maurer Speakers bureau: Speaker fees from Boehringer-Ingelheim, Grant/research support from: Grant/research support from AbbVie, Protagen, Novartis Biomedical Research, congress support from Pfizer, Roche, Actelion, mepha, and MSD

Serum metabolites as biomarkers in systemic sclerosis-associated interstitial lung disease

Systemic sclerosis (SSc) is a severe multi-organ disease with interstitial lung disease (ILD) being the major cause of death. While targeted therapies are emerging, biomarkers for sub-stratifying patients based on individual profiles are lacking. Herein, we investigated how levels of serum metabolites correlated with different stages of SSc and SSc-ILD. Serum samples of patients with SSc without ILD, stable and progressive SSc-ILD as well as of healthy controls (HC) were analysed using liquid targeted tandem mass spectrometry. The best discriminating profile consisted of 4 amino acids (AA) and 3 purine metabolites. L-tyrosine, L-tryptophan, and 1-methyl-adenosine distinguished HC from SSc patients. L-leucine, L-isoleucine, xanthosine, and adenosine monophosphate differentiated between progressing and stable SSc-ILD. In SSc-ILD, both, L-leucine and xanthosine negatively correlated with changes in FVC% predicted. Additionally, xanthosine was negatively correlated with changes in DLco% predicted and positively with the prognostic GAP index. Validation of L-leucine and L-isoleucine by an enzymatic assay confirmed both the sub-stratification of SSc-ILD patients and correlation with lung function and prognosis score. Serum metabolites may have potential as biomarkers for discriminating SSc patients based on the presence and severity of ILD. Confirmation in larger cohorts will be needed to appreciate their value for routine clinical care.

FRI0240 HOSPITAL ANXIETY AND DEPRESSION SCALE AND SENSE OF COHERENCE 13-ITEM SCALE IN A SWISS COHORT OF SYSTEMIC SCLEROSIS PATIENTS: VALIDITY, RELIABILITY AND SENSITIVITY TO CHANGE

Background:

Depression, anxiety and distress affect the quality of life of patients with systemic sclerosis (SSc) [1]. The Hospital Anxiety and Depression Scale (HADS) and Sense of Coherence 13-item scale (SOC-13, measuring comprehensibility, manageability and meaningfulness) are screening tools used in patients with different medical conditions. However, their validity, reliability and sensitivity to change in SSc patients has not been evaluated yet.

Objectives:

To examine the psychometric properties of HADS and its subscales HADS-A and HADS-D (measuring anxiety and depression symptoms, respectively), and unidimensional SOC-13 in a large cohort of Swiss SSc patients.

Methods:

Consecutive patients fulfilling the ACR/EULAR 2013 classification criteria for SSc who completed the HADS, SOC-13, Short Form-36 Health Survey (SF-36) and Scleroderma Health Assessment Questionnaire (SHAQ) were included in a cross-sectional and longitudinal analysis. Cronbach’s α, split-half reliability and construct validity were measured. Sensitivity to change (Cohen’s d coefficient) was assessed in patients who worsened within 12±3 months, defined as occurrence of any of the following events: decline in forced vital capacity (FVC)≥10%, new diagnosis of interstitial lung disease (ILD) on high-resolution computed tomography (HRCT), progression of known ILD to >20% lung involvement on HRCT (ILD20), new-onset pulmonary hypertension (PH), increase in European Scleroderma Study Group activity index (EScSG-AI) >3 points, new active digital ulcers, increase in modified Rodnan skin score (mRSS) > 7 points.

Results:

Of 345 patients (aged 59.34±14.17, 82.9% female, 18.8% with diffuse cutaneous SSc, 47.6% anti-centromere Ab-positive, 23.5% anti-Scl-70 Ab-positive, 13% anti-U1RNP Ab-positive and 11.3% anti-RNA polymerase III Ab-positive) 85 participated with a second visit to the sensitivity to change analysis.

Internal consistency was excellent for the HADS (Cronbach’s α=0.91; split-half reliability r=0.92), and very good for HADS-A, HADS-D and SOC-13 (Cronbach’s α=0.85-0.89; split-half reliability r=0.86-0.89).

Regarding construct validity, all four scales showed a strong to very strong correlation to each other, as well as with the mental components of SF-36 (Spearman’s r=0.63-0.85). There was a moderate to strong correlation with the SHAQ (Spearman’s r=0.45-0.64).

Regarding sensitivity to change: HADS-A showed a large to very large effect size (ES) for progression of ILD as assessed on HRCT and increase in EScSG-AI (Cohen’s d=1-1.63), and a very small to small ES for changes in FVC, DU and mRSS (Cohen’s d=0.02-0.45). HADS-D showed a large ES for changes in the ILD20, mRSS and EScSG-AI (Cohen’s d=0.82-1), and moderate ES for changes of FVC, ILD, PH, DU (Cohen’s d=0.1-0.49). SOC-13 showed generally a very small to small EF, except for change in mRSS (Cohen’s d=0.56).

Conclusion:

The HADS(A/D) and SOC-13 are valid and easy-to-use tools to detect depression, anxiety and distress in SSc. However, their sensitivity to change might be limited by the respective type of organ involvement and its impact on the patients’ psychological wellbeing.

References:

[1]Legendre C, Allanore Y, Ferrand I, Kahan A. Evaluation of depression and anxiety in patients with systemic sclerosis. Joint Bone Spine. 2005;72(5):408–411.

Disclosure of Interests:

Alexandru Garaiman: None declared, Carina Mihai: None declared, Rucsandra Dobrota: None declared, Suzana Jordan: None declared, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis, 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, Mike-Oliver Becker: None declared

THU0331 INTERSTITIAL LUNG DISEASE IN SYSTEMIC SCLEROSIS: DECLINE IN FORCED VITAL CAPACITY DOES NOT PREDICT FURTHER PROGRESSION IN THE FOLLOWING PERIOD

Background:

In systemic sclerosis (SSc) patients with interstitial lung disease (ILD) approximately 30% show progressive ILD. It is unknown whether a progressive ILD period is followed by further lung function decline. In clinical practice, treatment is frequently initiated after observation of lung function decline over 6-12 months and lung function stabilization at follow up is often interpreted as treatment effect.

Objectives:

Assess the predictive ability of lung function decline over 12 months for further deterioration adjusted for known risk factors for ILD and treatment in two large and well characterized SSc cohorts.

Methods:

Patients with SSc-ILD by HRCT, fulfilling SSc classification criteria, from the Oslo and Zurich University Hospital were included. The first period with three consecutive annual forced vital capacity (FVC) measurements (i.e. at 0, 12 and 24 months, +/- 3 months) was used. Lung function decline was assessed by absolute changes in FVC% predicted. Moderately progressive ILD was defined as FVC decline of >5-<10% and significantly progressive ILD as FVC decline ≥10% in 12 months. Candidate predictors by experts (including SSc subtype, autoantibodies, disease duration, baseline and FVC decline in the first period, extent of lung and skin (mRSS) fibrosis, CRP, reflux, tendon friction rubs, O2 desaturation, dyspnea) for FVC decline in the second period were tested using logistic regression analysis. Treatment included low dose corticosteroids, mycophenolate mofetil; and other immunosuppressive treatment (cyclophosphamide, Rituximab and Tocilizumab).

Results:

In total, 240 SSc-ILD patients met the inclusion criteria (table). Of these 69 (29%) SSc-ILD patients showed progressive ILD in the first 12 months period; 34 (14%) with moderate (5-10%) and 35 (15%) with significant FVC decline (≥10%). Independent of FVC changes in the first period, 77 (32%) showed progressive ILD in the second period; 44 (18%) moderate and 33 (14%) significant FVC decline. Only 21 (9%) SSc-ILD patients had two progressive periods, and 115 (48%) were stable in the two 12 month’s periods; all independent of treatment. In multivariable logistic regression, progressive ILD in the first period (moderate, significant or combined FVC decline) was not predictive for progression in the following period. Of all applied risk factors, only mRSS was significantly predictive for further FVC decline, also when adjusted for age, gender and treatment (OR 1.03, 95%CI 1.00-1.08, p=0.035).

Conclusion:

Decline of FVC in one 12 months period did not predict further ILD progression in the following 12 months independent of treatment. These results have important clinical implications. Firstly, a decline of lung function in one period seems not to be the right indicator for initiating treatment. Secondly, stabilization of lung function under treatment initiated after ILD progression cannot necessarily be interpreted as a treatment response on the individual patient level.

Table:

First periodBoth periodsSSc-ILD (n=240)ILD progression (n=69)ILD progression (n=21)Stable ILD (n=115)Age, years (SD)48 (14.7)49 (13.8)50 (14.3)46 (15.3)Male, n (%)57 (24)18 (26)5 (24)27 (24)Disease duration yrs, mean (SD)10.2 (11.4)9.8 (10.2)8.8 (11.0)10.8 (12.3)Disease duration <3 years, n (%)68 (28)22 (32)8 (38)29 (25)Diffuse cutaneous SSc, n (%)95 (40)30 (44)11 (52)43 (27)Anti-topoisomerase I Ab, n (%)84 (35)27 (40)9 (43)42 (37)mRSS, mean (SD)10 (9.3)11 (10.2)16 (13.0)8 (8.3)CRPml, mean (SD)3.6 (7.2)3.3 (6.2)4.4 (9.1)3.1 (5.1)GERD, n (%)148 (62)44 (64)15 (74)70 (61)FVC % predicted90 (20.3)90 (21.9)92 (21.7)89 (19.3)DLCO% predicted64 (17.9)64 (16.6)70 (11.3)65 (17.5)Lung fibrosis >20%, n (%)55 (23)16 (23)4 (19)27 (24)Mycophenolate Mofetil, n (%)47 (20)15 (22)5 (24)23 (20)Other immunosuppression, n (%)79 (33)22 (32)9 (43)42 (37)Corticosteroids, n (%)62 (26)18 (26)8 (38)28 (24)

Disclosure of Interests:

Anna-Maria Hoffmann-Vold Grant/research support from: Boehringer Ingelheim, Consultant of: Boehringer Ingelheim, Actelion, Bayer, GlaxoSmithKline, Speakers bureau: Boehringer Ingelheim, Actelion, Roche, Håvard Fretheim: None declared, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis, Mike Durheim Grant/research support from: BI, Consultant of: BI, Speakers bureau: BI, Øyvind Midtvedt: None declared, Mike O. Becker: None declared, Rucsandra Dobrota: None declared, Øyvind Molberg: None declared, Suzana Jordan: 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

OP0252 CIRCULATING COLLAGEN TURNOVER MARKERS ARE SPECIFICALLY CHANGED IN VERY EARLY SYSTEMIC SCLEROSIS

Background:

Timely diagnosis of patients with very early systemic sclerosis (veSSc) is essential for their personalized and optimal management. We hypothesise that changes in serum-based extracellular matrix (ECM) turnover biomarkers are already detectable in patients with veSSc, even before occurrence of specific clinical signs.

Objectives:

To investigate circulating ECM turnover markers as potential biomarkers for veSSc.

Methods:

Patients with veSSc, n=42, defined as presence of Raynaud’s syndrome and at least one of puffy fingers, positive antinuclear antibodies or pathological nailfold capillaroscopy, who did not meet any classification criteria for SSc, were compared to healthy controls (HC, n=29). Longitudinal assessment, data and sera collection were conducted by EUSTAR standards. ECM-degradation (BGM, C3M, C4M, C6M) and ECM-formation biomarkers (PRO-C3, PRO-C4, PRO-C5) were measured in serum using ELISA assays. The statistical analyses included Mann-Whitney U, Spearman correlation and ROC analysis. Using Kaplan-Meier plots and univariable Cox regression, we explored if biomarkers can predict progression towards definite SSc (fulfillment of ACR/EULAR criteria or minimum two points increase in the criteria score) during the longitudinal follow-up.

Results:

Compared to HC, veSSc patients showed a deregulated turnover of type III and IV collagen, with higher degradation (higher C3M, C4M, both p<0.0001 and PRO-C3, p=0.004, Figure 1a, resulting in lower turnover ratios PRO-C3/C3M and PRO-C4/C4M, both p<0.0001). The biglycan degradation biomarker BGM was also higher in veSSc (p=0.006), whereas the degradation biomarker for type VI collagen, C6M, was lower than in HC (p=0.002). In the ROC analysis, biomarkers of type III and IV collagen distinguished between veSSc and HC: C3M, AUC=0.95, p<0.0001; C4M, AUC=0.97, p<0.0001; turnover ratios PRO-C3/C3M, AUC=0.80, p<0.0001; PRO-C4/C4M, AUC=0.97; p<0.0001 (Figure 1b).

Median follow up was 4.5 years (range 0.5-7.9 years), mean age was 50±2.2 years, 88% female gender, 24% with puffy fingers, 92% were ANA positive, 64% had an abnormal capillaroscopy, none had organ involvement or skin fibrosis. 14/42 veSSc patients fulfilled the ACR/EULAR classification criteria at follow-up (time to fulfilment of criteria ranged between 0.5 and 6.8 years from inclusion) and in addition, 18/42 veSSc patients gained at least two classification criteria-points. This resulted in 14, respectively 18 progressors for the longitudinal analysis. However, in univariable Cox regression, the baseline levels of the markers did not predict progression over time.

Conclusion:

ECM turnover is already altered in veSSc patients compared to HC. Biomarkes of type III and IV collagen distinguished between veSSc patients and HC, which may indicate them as potential biomarkers for the detection of veSSc in addition to the established immunological and capillaroscopic criteria.

Disclosure of Interests:

Rucsandra Dobrota: None declared, Suzana Jordan: None declared, Pernille Juhl Employee of: Nordic Bioscience, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis, Mike O. Becker: None declared, Carina Mihai: None declared, Anne-Christine Bay-Jensen Shareholder of: Nordic Bioscience A/S, Employee of: Full time employee at Nordic Bioscience A/S., Morten Karsdal Shareholder of: Nordic Bioscience A/S., Employee of: Full time employee at Nordic Bioscience A/S., Anne Sofie Siebuhr Employee of: Nordic Bioscience, 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

SAT0569 “IMAGES ARE MORE THAN PICTURES, THEY ARE DATA” [1] – EXPLORATION OF RADIOMICS ANALYSIS FOR SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE

Background:

Interstitial lung disease (ILD) affects 60% of patients with systemic sclerosis (SSc) and is the primary cause of death. Medical imaging is an integral part of the routine work-up for diagnosis and monitoring of SSc-ILD and includes high-resolution computed tomography (HRCT). Radiomics is a novel research area that describes the in-depth analysis of tissue phenotypes in medical images with computational retrieval of quantitative, mineable metadata appropriate for statistical analyses.

Objectives:

To explore the performance of HRCT-derived radiomic features for the assessment of SSc-associated ILD (i.e. diagnosis, staging, and lung function).

Methods:

Radiomics analysis was performed on HRCT scans from 98 SSc patients, including n=33 SSc patients without ILD, n=33 with limited and n=32 with extensive ILD as defined by 0%, <20% and ≥20% visual extent of fibrosis on HRCT, respectively. Following semi-automated segmentation of lung tissue on 3D reconstructed HRCT scans, 1386 radiomic features, including 17 intensity, 137 texture, and 1232 wavelet features were extracted using the in-house developed software Z-Rad (Python 2.7). In order to identify robust features, we conducted intra- and inter-reader correlation analysis (ICC) in a subgroup of patients. Only features with good reproducibility (ICC ≥ 0.75) entered subsequent analyses. We applied the Wilcoxon test, followed by Receiver Operating Characteristic ROC) curve analyses, to identify features significantly different between a) ILD and non-ILD and b) limited vs. extensive ILD patients. Spearman rank correlation was performed to reveal significant associations of radiomic features from a) and b) with lung function as measured by percentage of predicted forced vital capacity (FVC% predicted).

Results:

In total, 1355/1386 radiomic features passed the test of robustness and were eligible for further, exploratory analyses. Radiomic features with good performance (area under the ROC curve (AUC) ≥ 0.7 and p-value ≤ 0.05) were considered as potential candidate discriminators. Under this criterion, we identified 288/1355 (21.3%) radiomic features that were significantly different between ILD and non-ILD patients and 409/1355 (30.2%) features that significantly discriminated between limited and extensive ILD (Fig. 1). For diagnosis, the texture featuredependence count entropywas the top parameter to distinguish ILD patients from healthy controls (AUC = 0.89, p = 1.83x10-10), whereas for staging the wavelet featureHHH long run high grey level emphasisproved to be best suited to separate limited from extensive ILD (AUC = 0.88, p = 7.76x10-9).

Fig 1.

Correlation analysis of the most significant (best performing) discriminative radiomic features with lung function revealed a significant negative correlation ofdependence count entropy(rho = -0.51, p = 9.89x10-8) andHHH long run high grey level emphasis(rho = -0.51, p = 1.73x10-5) with FVC% predicted.

Conclusion:

Our study adds novelty to the field of SSc-ILD showing that radiomic features have great potential as quantitative imaging biomarkers for diagnosis and staging of SSc-ILD and that they may reflect lung function. As the next step, we are planning to build predictive models, using machine learning, for diagnosis, staging, and lung function and validate them in external patient cohorts. If validated such models will pave the way for computer-aided management in SSc-ILD and thus improve patients’ outcome.

References:

[1]Gillies, R. J., Kinahan, P. E. & Hricak, H. Radiomics: Images Are More than Pictures, They Are Data. Radiology 278, 563-577, doi:10.1148/radiol.2015151169 (2016).

Disclosure of Interests:

Janine Schniering: None declared, Malgorzata Maciukiewicz: None declared, Hubert Gabrys: None declared, Matthias Brunner: None declared, Christian Blüthgen: 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, Matthias Guckenberger: None declared, Thomas Frauenfelder: None declared, Stephanie Tanadini-Lang: None declared, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis

SAT0333 SERUM METABOLITES AS BIOMARKERS IN SYSTEMIC SCLEROSIS-ASSOCIATED INTERSTITIAL LUNG DISEASE

Background:

In fibrotic diseases, metabolic processes are altered with a tendency towards an anabolic state, which is partially reflected in serum. Circulating biomarkers for interstitial lung disease (ILD), the leading cause of death in systemic sclerosis (SSc), are still sparse and not established in routine care.

Objectives:

To assess the potential of serum metabolites as biomarkers for the presence and progression of SSc-ILD.

Methods:

Age and sex matched serum samples of SSc patients from the Zurich cohort and of healthy controls (HC) were analyzed. Progressive SSc-ILD was defined as either a relative decrease in forced vital capacity (FVC) >10%, a decrease in FVC of 5-9% and a concomitant decrease of carbon dioxide diffusion capacity >15%, or an increase of the extent of lung fibrosis on computed tomography from <20% to ≥20% compared to the last visit (mean follow-up interval = 14 months (range = 9-26)). Sera of HC, non-ILD SSc and stable vs. progressive SSc-ILD patients (n = 12 per group; total n = 48) were screened for 110 metabolites by targeted liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). Peak areas were analyzed with R 3.6. For univariate analysis, FDR-corrected one-way ANOVA was used. In multivariate group-wise partial least squares discriminant analysis (PLS-DA), variable importance in the projection (VIP) scores ≥2 were considered significant.

Results:

In total, 85 metabolites were detected. Univariate analysis of all groups were suggestive of changes for 1-methyladenosine, L-tryptophan, L-tyrosine, L-leucine and xanthosine (p = 0.077, 0.028, 0.077, 0.028 and 0.032, respectively). In PLS-DA, HCs and SSc patients differed in their levels of L-tyrosine and L-tryptophan, while levels of L-threonine, 3-aminoisobutyric acid, adenosine monophosphate and xanthosine were changed when comparing non-ILD and SSc-ILD patients. Receiver operating curve (ROC) analysis of significant metabolites from uni- and multivariate testing resulted in separation of SSc patients from HCs by L-tyrosine (area under the curve (AUC) = 0.81, 95% confidence interval (CI): 0.67-0.96), L-tryptophan (AUC = 0.86, CI: 0.75-0.97) and 1-methyladenosine (AUC = 0.82, CI: 0.71-0.94). Progressive SSc-ILD patients were separated from stable patients by their levels of L-isoleucine, L-leucine, adenosine monophosphate and xanthosine (AUC = 0.83, 0.85, 0.79 and 0.77; CI: 0.66-1.00, 0.70-1.00, 0.60-0.97 and 0.55-0.99, respectively). Validation of increased values of the branched-chain amino acids L-leucine and L-isoleucine in progressive SSc-ILD vs. stable ILD using an enzymatic assay resulted in similar results as LC-MS/MS analysis, with higher values detected in progressive vs. stable patients (mean = 286.5 and 235.5 nM, respectively; p = 0.005). In ROC analysis (AUC = 0.81, CI: 0.62-1.00), a cut-off value of 250.3 nM separated stable from progressive patients with a sensitivity of 72.7% and a specificity of 83.3%.

Conclusion:

This study in SSc(-ILD) patients suggested alterations in serum metabolite levels corresponding with their current state of disease, indicating the potential use of serum metabolites as discriminating biomarkers upon further confirmation in larger multicenter studies.

Disclosure of Interests:

Chantal Meier: None declared, Katrin Freiburghaus: None declared, Cédric Bovet: None declared, Janine Schniering: 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, Christos Nakas: None declared, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis

FRI0267 CLINICAL CORRELATES AND RELEVANCE OF UCLA GIT 2.0 FOR ESOPHAGITIS AND INDICATION FOR ESOPHAGOGASTRODUODENOSCOPY IN REAL-LIFE PATIENTS WITH SYSTEMIC SCLEROSIS

Background:

The gastrointestinal (GI) tract is frequently involved in systemic sclerosis (SSc). The University of California Los Angeles Scleroderma Clinical Trial Consortium Gastrointestinal Tract Instrument 2.0 (UCLA GIT 2.0) is validated to capture GI morbidity in patients with SSc (1). The routine clinical investigation of GI involvement in these patients is not standardized and there is no consensus about when and how frequently an esophagogastroduodenoscopy (EGD) should be performed.

Objectives:

The main aim of this study was to analyze the capacity of UCLA GIT 2.0 to identify patients with erosive esophagitis in an unselected, real-life SSc patients’ cohort. Secondary aim was to determine whether the UCLA GIT 2.0 could discriminate SSc patients for whom an expert rheumatologist would recommend an EGD.

Methods:

We selected patients fulfilling the ACR/EULAR 2013 criteria for SSc from the Zurich cohort, having completed at least once the UCLA GIT 2.0 questionnaire. We reviewed the medical charts of SSc patients from 2013 to 2019 and recorded data on EGD. We analyzed by univariable logistic regression several parameters, including UCLA GIT 2.0, considered as potentially associated with 1) the referral to EGD and 2) macroscopic esophagitis according to the Los Angeles criteria.

Results:

We identified 346 patients (82.7% female, median age 63 years, median disease duration 10 years, 23% with diffuse cutaneous SSc) satisfying the inclusion criteria, who filled in 940 UCLA GIT 2.0 questionnaires.

From 940 visits, 31 were excluded because EGD was done within 3 months before completing the UCLA GIT 2.0. In the 909 remaining visits, EGD was recommended by the expert rheumatologists in 128 cases. In logistic regression, UCLA GIT 2.0 total score and some of its subscales, but also the modified Rodnan skin score (mRSS) and esophageal and stomach symptoms by past medical history, associated with the referral to EGD (Table 1).

Table 1.

Logistic regression of factors associated with referral to EGD

OR (95% CI)p-valuemRSS1.04 (1.01 - 1.06)0.009Hemoglobin (Hb)1.00 (0.96 - 1.04)0.978Proton pump inhibitor (PPI)0.37 (0.12 - 1.15)0.086Esophageal symptoms3.37 (2.28 - 4.96)<0.001Stomach symptoms2.93 (2.02 - 4.26)<0.001Reflux subscale2.04 (1.52 - 2.73)<0.001Distention/bloating subscale1.53 (1.24 - 1.89)<0.001Social functioning2.20 (1.57 - 3.07)<0.001Emotional wellbeing1.42 (1.03 - 1.97)0.034Total score of UCLA GIT 2.02.27 (1.55 - 3.32)<0.001

We found data on 177 EGD performed in 150 patients, meaning that 49 EGD were performed on indication by another physician. In logistic regression, mRSS and esophageal symptoms correlated with esophagitis, while neither the total ULCA GIT 2.0 score nor the reflux subscale or any of the other subscales showed an association with esophagitis (Table 2).

Table 2.

Logistic regression of factors associated with esophagitis

OR (95% CI)p-valuemRSS1.09 (1.03 - 1.15)0.001Hb1.03 (0.99 - 1.06)0.126PPI0.52 (0.27 - 1.03)0.059Esophageal symptoms2.92 (1.29 - 6.61)0.010Stomach symptoms1.60 (0.80 - 3.21)0.183Reflux subscale1.07 (0.60 - 1.93)0.816Distention/Bloating subscale0.63 (0.39 - 1.01)0.054Social functioning0.65 (0.31 - 1.35)0.245Emotional wellbeing0.77 (0.36 - 1.61)0.483Total score of UCLA GIT 2.00.67 (0.28 - 1.60)0.367

Conclusion:

In a real-life setting, UCLA GIT 2.0 subscales (reflux, distention/bloating, social functioning, emotional wellbeing) and total score strongly associated with expert interpretation of gastroesophageal symptoms and consecutive referral to EGD. However, they showed no correlation with esophagitis on EGD. The main clinical association of esophagitis was the presence of esophageal symptoms.

References:

[1]Khanna D, et al. Reliability and validity of the University of California, Los Angeles Scleroderma Clinical Trial Consortium Gastrointestinal Tract Instrument. Arthritis Rheum. 2009;61(9):1257-63.

Disclosure of Interests:

Norina Zampatti: None declared, Alexandru Garaiman: None declared, Suzana Jordan: None declared, Mike O. Becker: None declared, Britta Maurer Grant/research support from: AbbVie, Protagen, Novartis, congress support from Pfizer, Roche, Actelion, and MSD, Speakers bureau: Novartis, Rucsandra Dobrota: 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, Carina Mihai: None declared

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).

Assessment of liposome bupivacaine infiltration versus continuous femoral nerve block for postsurgical analgesia following total knee arthroplasty: a retrospective cohort study

OBJECTIVE

Perioperative pain management is an important aspect of recovery from total knee arthroplasty (TKA) because severe pain can delay ambulation and hospital discharge. The objective of this retrospective sequential cohort study was to determine the impact of local infiltration analgesia using liposome bupivacaine (Exparel ¹ ) when compared with a continuous femoral nerve block (FNB) following TKA.

METHODS

This retrospective cohort study included consecutive patients who underwent TKA between April 2011 and April 2014, and received one of three interventions. Study Group A received adductor canal infiltration with bupivacaine HCl and knee infiltration with liposome bupivacaine. Study Group B received adductor canal infiltration with liposome bupivacaine and knee infiltration with liposome bupivacaine. The control group received a continuous FNB with ropivacaine HCl delivered via an elastomeric pump. Numeric pain rating scores (NPRS), distance walked, length of stay (LOS), and dose of narcotic medication were the key efficacy variables of interest.

RESULTS

A total of 237 patients were included in this study: 98 in Group A, 34 in Group B, and 105 controls. On postoperative day (POD) 0, mean (standard deviation [SD]) NPRSs were similar between Group A (1.8 [1.7]), Group B (2.7 [1.8]), and the control group (2.3 [2.4]). Significantly (p < 0.05) more patients in Group A (58%) and Group B (44%) walked on POD0 than in the control group (0%); almost all patients walked on POD1. The mean (SD) distance walked was also significantly greater (p < 0.05) on POD1 in Group A (193 [203] feet) and Group B (211 [144] feet) than in the control group (46 [73] feet). Mean (SD) LOS was significantly (p < 0.05) shorter in Group B (2.2 [1.2] days), than in the control group (3.2 [0.7] days) and Group A (3.0 [1.7] days).

CONCLUSIONS

Local infiltration analgesia using liposome bupivacaine was associated with improved ambulation and shorter LOS following TKA when compared with continuous FNB in this retrospective cohort study.