Metal Ion Release in Cancer Patients Following Megaprosthesis Salvage Surgery

BACKGROUND

Megaprostheses contain many more modular components than conventional total hip and knee arthroplasty, which may lead to higher serum levels of metal ions. The aim of this study was to determine serum concentrations of titanium, chromium, and cobalt ions in cancer patients after limb salvage surgery with a megaprosthesis.

METHODS

A retrospective, descriptive cohort analysis consisting of patients who underwent cancer-related limb salvage surgery with a megaprosthesis at our hospital between 2010 and 2020 was conducted. Baseline and follow-up data were extracted from clinical and surgical records. Blood samples were prospectively obtained. Descriptive statistics were used for the analysis.

RESULTS

A total of 71 patients underwent limb salvage surgery during the study period. Of these, 22 (10 women, 12 men) were included in the study. The mean age was 52 years (range, 21 to 80). Most cases (n = 16; 72.7%) involved the femur. Most patients (n = 14, 63.6%) underwent total knee megaprosthesis surgery. Implant revision surgery was required in 45% of cases (n = 10), with a mean interval of 4.32 years between the initial and revision surgeries. The mean follow-up time after revision surgery was 4.05 years. High levels of chromium were observed in 22.7% of patients (n = 5). High cobalt levels were found in 68.2% (n = 15) of patients, with toxic levels in 9.1% (n =2). Titanium levels were high in 77.3% (n = 17) of cases and toxic in 22.7% (n = 5). Postoperative chemotherapy was significantly associated with titanium levels (P = 0.017). No correlation was observed between metal ion levels and time from primary or revision surgery or time from the first to revision surgery.

CONCLUSION

This study shows that cancer-related limb salvage surgery with megaprosthesis is associated with metal ion levels that exceed established safe thresholds. Compared to conventional hip arthroplasty, a higher proportion of the patients in this cohort presented elevated levels of metal ions.

Exploring Scaffold Hopping for Novel 2-(Quinolin-4-yloxy)acetamides with Enhanced Antimycobacterial Activity

Utilizing a scaffold-hopping strategy from the drug candidate telacebec, a novel series of 2-(quinolin-4-yloxy)acetamides was synthesized and evaluated as inhibitors of Mycobacterium tuberculosis (Mtb) growth. These compounds demonstrated potent activity against drug-sensitive and multidrug-resistant strains (MIC ≤ 0.02 μM). Leading compounds were evaluated against a known qcrB resistant strain (T313A), and their loss in activity suggested that the cytochrome bc1 complex is the likely target. Additionally, these structures showed high selectivity regarding mammalian cells (selectivity index > 500) and stability across different aqueous media. Furthermore, some of the synthesized quinolines demonstrated aqueous solubility values that exceeded those of telacebec, while maintaining low rates of metabolism. Finally, a selected compound prevented Mtb growth by more than 1.7 log10 colony forming units in a macrophage model of tuberculosis (TB) infection. These findings validate the proposed design and introduce new 2-(quinolin-4-yloxy)acetamides with potential for development in TB drug discovery campaigns.

The Silent Threat-Alkali Foot Burn: A Case Report

Despite current workplace protection measures, chemical burn accidents are not uncommon. Among these, alkali burn is the most challenging due to its silent behaviour and aggressive mechanism. Characterized by its initial painless onset, allowing a prolonged exposure, it tends to result in deeper and more destructive burns, creating major reconstructive and therapeutic challenges. This case concerns a 53-year-old male who sustained a full thickness burn of his left instep foot after prolonged contact with an alkali substance. The wound was submitted to several surgical debridement procedures, with preservation of the major tendinous and vascular-nervous structures. The skin defect was then repaired with skin graft. Early recognition and prompt management with copious and prolonged wound irrigation is paramount. As in this type of burn it is difficult to initially assess its true depth, even after initial surgical debridement, a more cautious approach is recommended. Chronic pain is associated with chemical burns and it should be treated early in the process with the use of multimodal analgesia in order to prevent future complications. No matter the absence of major complaints in the 4 week-postoperative evaluation, the possible long-term consequences are still unknown. Despite the prolonged exposure time and the initial presentation with a deep burn, after several surgical debridement procedures, preservation of major tendon and neurovascular structures was assured, which allowed a plain approach for reconstruction of the wound with a skin graft. The case illustrates different challenges associated with evaluation and treatment of patients with deep alkali burns. Also, usage auditing and awareness of regular users appear to be essential.

The Integration of Proteogenomics and Ribosome Profiling Circumvents Key Limitations to Increase the Coverage and Confidence of Novel Microproteins

There has been a dramatic increase in the identification of non-conical translation and a significant expansion of the protein-coding genome and proteome. Among the strategies used to identify novel small ORFs (smORFs), Ribosome profiling (Ribo-Seq) is the gold standard for the annotation of novel coding sequences by reporting on smORF translation. In Ribo-Seq, ribosome-protected footprints (RPFs) that map to multiple sites in the genome are computationally removed since they cannot unambiguously be assigned to a specific genomic location, or to a specific transcript in the case of multiple isoforms. Furthermore, RPFs necessarily result in short (25-34 nucleotides) reads, increasing the chance of ambiguous and multi-mapping alignments, such that smORFs that reside in these regions cannot be identified by Ribo-Seq. Here, we show that the inclusion of proteogenomics to create a Ribosome Profiling and Proteogenomics Pipeline (RP3) bypasses this limitation to identify a group of microprotein-encoding smORFs that are missed by current Ribo-Seq pipelines. Moreover, we show that the microproteins identified by RP3 have different sequence compositions from the ones identified by Ribo-Seq-only pipelines, which can affect proteomics identification. In aggregate, the development of RP3 maximizes the detection and confidence of protein-encoding smORFs and microproteins.

Technological features of smartphone apps for physical activity promotion in patients with COPD: A systematic review

INTRODUCTION

Low physical activity (PA) levels have a negative impact on the health status of patients with Chronic Obstructive Pulmonary Disease (COPD). Smartphone applications (apps) focused on PA promotion may mitigate this problem; however, their effectiveness depends on patient adherence, which can be influenced by the technological features of the apps. This systematic review identified the technological features of smartphone apps aiming to promote PA in patients with COPD.

METHODS

A literature search was performed in the databases ACM Digital Library, IEEE Xplore, PubMed, Scopus and Web of Science. Papers including the description of a smartphone app for PA promotion in patients with COPD were included. Two researchers independently selected studies and scored the apps features based on a previously developed framework (38 possible features).

RESULTS

Twenty-three studies were included and 19 apps identified, with an average of 10 technological features implemented. Eight apps could be connected to wearables to collect data. The categories 'Measuring and monitoring' and 'Support and Feedback' were present in all apps. Overall, the most implemented features were 'progress in visual format' (n = 13), 'advice on PA' (n = 14) and 'data in visual format' (n = 10). Only three apps included social features, and two included a web-based version of the app.

CONCLUSIONS

The existing smartphone apps include a relatively small number of features to promote PA, which are mostly related to monitoring and providing feedback. Further research is warranted to explore the relationship between the presence/absence of specific features and the impact of interventions on patients' PA levels.

Nanoscale LiZnN - Luminescent Half-Heusler Quantum Dots

Colloidal semiconductor quantum dots are a well-established technology, with numerous materials available either commercially or through the vast body of literature. The prevalent materials are cadmium-based and are unlikely to find general acceptance in most applications. While the III-V family of materials is a likely substitute, issues remain about its long-term suitability, and other earth-abundant materials are being explored. In this report, we highlight a nanoscale half-Heusler semiconductor, LiZnN, composed of readily available elements as a potential alternative system to luminescent II-VI and III-V nanoparticle quantum dots.

Identification of potential inhibitors of Mycobacterium tuberculosis shikimate kinase: molecular docking, in silico toxicity and in vitro experiments

Tuberculosis (TB) is one of the main causes of death from a single pathological agent, Mycobacterium tuberculosis (Mtb). In addition, the emergence of drug-resistant TB strains has exacerbated even further the treatment outcome of TB patients. It is thus needed the search for new therapeutic strategies to improve the current treatment and to circumvent the resistance mechanisms of Mtb. The shikimate kinase (SK) is the fifth enzyme of the shikimate pathway, which is essential for the survival of Mtb. The shikimate pathway is absent in humans, thereby indicating SK as an attractive target for the development of anti-TB drugs. In this work, a combination of in silico and in vitro techniques was used to identify potential inhibitors for SK from Mtb (MtSK). All compounds of our in-house database (Centro de Pesquisas em Biologia Molecular e Funcional, CPBMF) were submitted to in silico toxicity analysis to evaluate the risk of hepatotoxicity. Docking experiments were performed to identify the potential inhibitors of MtSK according to the predicted binding energy. In vitro inhibitory activity of MtSK-catalyzed chemical reaction at a single compound concentration was assessed. Minimum inhibitory concentration values for in vitro growth of pan-sensitive Mtb H37Rv strain were also determined. The mixed approach implemented in this work was able to identify five compounds that inhibit both MtSK and the in vitro growth of Mtb.

SARS-CoV-2 immune complex triggers human monocyte necroptosis

We analyzed the ability of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) itself and SARS-CoV-2-IgG immune complexes to trigger human monocyte necroptosis. SARS-CoV-2 was able to induce monocyte necroptosis dependently of MLKL activation. Necroptosis-associated proteins (RIPK1, RIPK3 and MLKL) were involved in SARS-CoV-2N1 gene expression in monocytes. SARS-CoV-2 immune complexes promoted monocyte necroptosis in a RIPK3- and MLKL-dependent manner, and Syk tyrosine kinase was necessary for SARS-CoV-2 immune complex-induced monocyte necroptosis, indicating the involvement of Fcγ receptors on necroptosis. Finally, we provide evidence that elevated LDH levels as a marker of lytic cell death are associated with COVID-19 pathogenesis.

Potential reductions in ultra-processed food consumption substantially improve population cardiometabolic-related dietary nutrient profiles in eight countries

BACKGROUND AND AIMS

The negative effect on dietary nutrient profiles is the most obvious mechanism explaining the higher risk of cardiometabolic diseases associated with increased dietary share of UPF observed in large cohort studies. We estimate the proportion of diets with excessive energy density, excessive free sugars or saturated fat contents and insufficient fiber that could be avoided, if UPF consumption was reduced to levels among lowest consumers across eight countries, as well as the proportion of diets with multiple inadequacies.

METHODS AND RESULTS

Using nationally-representative cross-sectional surveys from Brazil (2008-09), Chile (2010), Colombia (2005), Mexico (2012), Australia (2011-12), the UK (2008-16), Canada (2015), and the US (2015-16), inadequate energy density (≥2.25 kcal/g) or contents of free sugars (>10% of total energy intake), saturated fats (>10% of total energy intake) and fiber (<25 g/2000 kcal) population attributable fractions were quantified. Substantial reductions in nutrient inadequacies would be observed ranging from 50.4% in Chile to 76.8% in US for dietary energy density, from 15.5% in Colombia to 68.4% in Australia for free sugars, from 9.5% in Canada to 35.0% in Mexico for saturated fats, and from 10.3% in UK to 37.9% in Mexico for fiber. Higher reductions would be observed for diets with multiple nutrient inadequacies: from 27.3% in UK to 77.7% in Australia for ≥3 and from 69.4% in Canada to 92.1% in US, for 4 inadequacies.

CONCLUSIONS

Lowering dietary contribution of UPF to levels among country-specific lowest consumers is a way to improve population cardiometabolic-related dietary nutrient profiles.

Antitubercular Activity of Novel 2-(Quinoline-4-yloxy)acetamides with Improved Drug-Like Properties

Using cycloalkyl and electron-donating groups to decrease the carbonyl electrophilicity, a novel series of 2-(quinoline-4-yloxy)acetamides was synthesized and evaluated as in vitro inhibitors of Mycobacterium tuberculosis (Mtb) growth. Structure-activity relationship studies led to selective and potent antitubercular agents with minimum inhibitory concentrations in the submicromolar range against drug-sensitive and drug-resistant Mtb strains. An evaluation of the activity of the lead compounds against a spontaneous qcrB mutant strain indicated that the structures targeted the cytochrome bc 1 complex. In addition, selected molecules inhibited Mtb growth in a macrophage model of tuberculosis infection. Furthermore, the leading compound was chemically stable depending on the context and showed good kinetic solubility, high permeability, and a low rate of in vitro metabolism. Finally, the pharmacokinetic profile of the compound was assessed after oral administration to mice. To the best of our knowledge, for the first time, a 2-(quinoline-4-yloxy)acetamide was obtained with a sufficient exposure, which may enable in vivo effectiveness and its further development as an antituberculosis drug candidate.

Scintillation light detection in the 6-m drift-length ProtoDUNE Dual Phase liquid argon TPC

DUNE is a dual-site experiment for long-baseline neutrino oscillation studies, neutrino astrophysics and nucleon decay searches. ProtoDUNE Dual Phase (DP) is a 6  ×  6  ×  6 m 3 liquid argon time-projection-chamber (LArTPC) that recorded cosmic-muon data at the CERN Neutrino Platform in 2019-2020 as a prototype of the DUNE Far Detector. Charged particles propagating through the LArTPC produce ionization and scintillation light. The scintillation light signal in these detectors can provide the trigger for non-beam events. In addition, it adds precise timing capabilities and improves the calorimetry measurements. In ProtoDUNE-DP, scintillation and electroluminescence light produced by cosmic muons in the LArTPC is collected by photomultiplier tubes placed up to 7 m away from the ionizing track. In this paper, the ProtoDUNE-DP photon detection system performance is evaluated with a particular focus on the different wavelength shifters, such as PEN and TPB, and the use of Xe-doped LAr, considering its future use in giant LArTPCs. The scintillation light production and propagation processes are analyzed and a comparison of simulation to data is performed, improving understanding of the liquid argon properties.

Viral isolation allows characterization of early samples of SARS-CoV-2 lineage B1.1.33 with unique mutations (S: H655Y and T63N) circulating in Southern Brazil in 2020

Different approaches are in use to improve our knowledge about the causative agent of coronavirus disease (COVID-19). Cell culture-based methods are the better way to perform viral isolation, evaluate viral infectivity, and amplify the virus. Furthermore, next-generation sequencing (NGS) have been essential to analyze a complete genome and to describe new viral species and lineages that have arisen over time. Four naso-oropharyngeal swab samples, collected from April to July of 2020, were isolated and sequenced aiming to produce viral stocks and analyze the mutational profile of the found lineage. B.1.1.33 was the lineage detected in all sequences. Although the samples belong to the same lineage, it was possible to evaluate different mutations found including some that were first described in these sequences, like the S:H655Y and T63N. The results described here can help to elicit how the pandemic started to spread and how it has been evolving in south Brazil.

Bacterial Enoyl-Reductases: The Ever-Growing List of Fabs, Their Mechanisms and Inhibition

Enoyl-ACP reductases (ENRs) are enzymes that catalyze the last step of the elongation cycle during fatty acid synthesis. In recent years, new bacterial ENR types were discovered, some of them with structures and mechanisms that differ from the canonical bacterial FabI enzymes. Here, we briefly review the diversity of structural and catalytic properties of the canonical FabI and the new FabK, FabV, FabL, and novel ENRs identified in a soil metagenome study. We also highlight recent efforts to use the newly discovered Fabs as targets for drug development and consider the complex evolutionary history of this diverse set of bacterial ENRs.

POS0152 DIRECT AND INDIRECT EFFECT OF TNF INHIBITORS ON SPINAL MOBILITY IN PEOPLE WITH AXIAL SPONDYLOARTHRITIS AND THE MEDIATOR ROLE OF DISEASE ACTIVITY

Background

Although it may be difficult to detect changes in spinal mobility on the short term, spinal mobility is considered an important measure to assess the efficacy of drugs used to treat axial spondyloarthritis (axSpA). However, few studies evaluated the long-term impact of biologic treatment on spinal mobility.

Objectives

To describe the long-term effect of TNF inhibitors (TNFi) on spinal mobility in patients with axSpA, and to determine whether the use of TNFi treatment influences spinal mobility, and if this due to a direct or indirect effect (mediated by disease activity).

Methods

We performed a retrospective observational study, using data collected from patients with a clinical diagnosis of axSpA treated with TNFi at a tertiary care centre where disease activity and metrology assessments are routinely done. Adult patients with at least two Bath Ankylosing Spondylitis Metrology Index (BASMI) measurements were included. Disease activity was measured using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) and Ankylosing Spondylitis Disease Activity Score C-reactive protein (ASDAS). The longitudinal association between TNFi and improvement in BASDAI/ASDAS was tested using a linear mixed effects model with BASMI as dependent variable. To test whether TNFi had a direct effect on BASMI, not mediated by disease activity, we tested that TNFi treatment was not conditionally independent of BASMI given BASDAI/ASDAS (Figure 1). We tested whether the nodes TNFi and BASMI were disconnected if we removed BASDAI and ASDAS. To test this conditional independence, we first built a linear mixed effects model for BASMI given BASDAI or ASDAS when the patient was under TNFi and used this model to predict a 95% confidence interval (CI) for BASMI given the data for BASDAI/ASDAS when the patient was without TNFi. We checked whether the true value of BASMI lay within this 95% CI and performed a hypothesis test for binomial distribution where H0: p=0.95. To test for the indirect effect of TNFi on BASMI reduction, mediated through the disease activity, we regressed BASMI on BASDAI/ASDAS, TNFi (if there was a direct effect), demographics, presence of radiographic (r-) axSpA and HLA-B27 positivity, using a linear mixed effects model adjusted for within-patient correlation.

Figure 1.

Indirect effect of TNFi on BASMI (represented by the full line), through the influence of TNFi on disease activity, adjusted by other confounders and direct effect of TNFi on BASMI (dashed line), independently of disease activity.

Results

Data from 188 patients and 1326 visits were analysed. Mean age was 45.6 (SD 11.6) years, mean disease duration was 15.8 (SD 9.64) years, 152 (80.9%) were male, 120 (73.6%) had r-axSpA, and 83 (74.8%) were HLA-B27 positive. Mean follow-up time was 8.0 (SD 4.4) years, ranging from 0.8 to 18.2 years. Treatment with TNFi was significantly associated with long-term improvement in BASMI (B=-0.423, 95% CI=[-0.553,-0.292], p<0.001). An indirect effect of TNFi on BASMI improvement was observed, mediated by reduction in disease activity, measured by BASDAI (B=0.146, 95% CI=[0.092, 0.200], p<0.001) or ASDAS (B=0.405, 95% CI=[0.260, 0.549], p<0.001). Using conditional independence tests, a direct effect of TNFi on BASMI improvement was also observed, independently of disease activity, when BASDAI was used (p<0.001) as a covariate, but not when ASDAS was used (p=0.3104). The direct effect of TNFi (B=-0.300, 95% CI=[-0.576,-0.025], p<0.001) on BASMI was estimated in the BASDAI-adjusted mixed effects model.

Conclusion

TNFi are effective at improving BASMI in patients with axSpA, in a real-life setting. This effect is mainly explained by the reduction in disease activity. However, a direct effect of TNFi on BASMI could also be demonstrated, when disease activity was measured by BASDAI, suggesting that ASDAS captures additional factors that can influence spinal mobility. These potential factors deserve further investigation, but they could for example include biomechanical properties of tendons and myofascial tissue.

Disclosure of Interests

Ana Sofia Pinto: None declared, Bohao Yao: None declared, Claire Harris: None declared, Rhys Hayward: None declared, Andrew Keat: None declared, Pedro Machado Speakers bureau: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this

manuscript, Consultant of: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this

manuscript

POS0950 LONG-TERM FOLLOW-UP OF STARTING AND SWITCHING FROM ORIGINAL ADALIMUMAB TO ADALIMUMAB BIOSIMILAR: REAL-WORLD DATA IN AXIAL SPONDYLOARTHRITIS

Background

Biological drugs have revolutionized the treatment of rheumatic diseases, and the recent expiry of the patents for many biological agents has led to the marketing of highly similar, low-cost versions known as biosimilars. However, questions regarding its efficacy compared to bio-originator drugs, in a real-life setting, have been raised. National Institute for Health and Care Excellence (NICE) guidelines state that the response to biologic disease-modifying anti-rheumatic drugs (bDMARDs) should be assessed 12 weeks after the beginning of the drug. Treatment should only be continued if there is clear evidence of response, defined as a reduction in the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score to 50% of the pre-treatment value or by 2 or more units and a reduction in the 10-cm spinal pain visual analogue scale (VAS) by 2 cm or more.

Objectives

To compare the response to adalimumab (ADA) originator and biosimilar in bDMARD-naïve patients with axial spondyloarthritis (axSpA) and in patients who switched from originator to biosimilar drug, accordingly to NICE guidelines; to compare the effectiveness and safety of the originator and biosimilar drugs in patients with axSpA, measured by persistence rates (PR) over three years.

Methods

A retrospective observational single-centre UK study was performed in bDMARD-naïve patients with a clinical diagnosis of axSpA who initiated treatment with ADA (original or biosimilar) and in patients who switched from originator to biosimilar drug. Descriptive statistics were used. Disease activity at baseline and follow-up data at 3 and 6 months of treatment was compared using the chi-square test. The Kaplan-Meier method was used to calculate persistence rates in biologic treatment over time. Reasons for discontinuing therapy were summarized using descriptive statistics and stratified by treatment.

Results

A total of 153 patients were included: 83 patients started on original ADA, 31 started on biosimilar ADA and 40 switched from original to biosimilar drug. The population’s baseline characteristics are similar in the three groups. However, some differences were found, namely disease duration was longer in the group that did switch and the disease activity is similar in patients who started original and biosimilar ADA and was lower in the group of patients who switched from original to the biosimilar. The 3-year PR was not significantly different between originator and biosimilar ADA in bDMARD naïve patients and in the group of patients that switched from original drug to biosimilar drug (p=0.080), as shown in Figure 1. In the original ADA group, 3-years PR was 67.5% with a median time-on-drug (TOD) of 29.5 months; for biosimilar drug, 3-years PR was 64.5%, with a median TOD of 24.2 months. In patients who switched from original to biosimilar drug, 3-years PR was 77.5% with a median TOD of 30.3 months. Response to treatment according to NICE guidelines was similar between original and biosimilar drugs (p>0.05). Overall, 47 (30.7%) patients stopped adalimumab (27 patients on original drug and 20 on biosimilar drug). Discontinuations due to adverse events and inefficacy were the most frequent, and there were no significant differences between original and biosimilar drugs. Other reasons for discontinuation were less frequent, such as patient choice, loss of follow-up and death, and again without differences between original and biosimilar drugs.

Figure 1.

Drug survival in the three adalimumab groups (original adalimumab – blue line, biosimilar adalimumab – red line, and switch from original to biosimilar adalimumab – green line)

Conclusion

Adalimumab original and biosimilar used as a first-line biological treatment showed similar effectiveness and safety in our long-term cohort of patients with axSpA. Switch from original to biosimilar drug showed to have a good persistence on drug after three years of follow-up (77.5%).

Disclosure of Interests

Ana Sofia Pinto: None declared, Kalveer Flora: None declared, Dilpreet Matharu: None declared, Anthony Isaacs: None declared, Pedro Machado Speakers bureau: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this manuscript, Consultant of: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this manuscript

OP0155 DO FATTY LESIONS EXPLAIN THE ASSOCIATION BETWEEN INFLAMMATION AND NEW SYNDESMOPHYTES IN PATIENTS WITH RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS?

Background

Presence of vertebral corner inflammation (VCI) increases the likelihood of a new syndesmophyte in the same vertebral corner (VC) in patients with r-axSpA. It was suggested that subsequent vertebral corner fat deposition (VCFD) partially explains this effect. However, this has not been formally tested.

Objectives

To determine how much of the effect of VCI on the development of new syndesmophytes is explained by new VCFD.

Methods

Two datasets (SIAS cohort, ASSERT clinical trial) were analyzed. Patients with r-axSpA were assessed at baseline (T0), an intermediate visit (T1) (SIAS: 1 year; ASSERT: 24 weeks) and the end of follow-up (T2) (SIAS: 2 years; ASSERT: 102 weeks). Syndesmophytes were assessed on whole spine low dose CT (SIAS) or spinal radiographs (ASSERT) at T0 and T2 and considered present if seen by 2 of 2 readers. VCI (T0) and VCFD (T0 and T1) on spinal MRI were present if seen by ≥2 of 3 readers (SIAS) or 2 of 2 readers (ASSERT). VCs with VCFD or a syndesmophyte at baseline were excluded. We used the counterfactual approach1 to decompose the total effect of VCI at T0 (binary exposure) on the formation of a new syndesmophyte in the same VC at T2 (binary outcome) into the effect that is explained (natural indirect effect, NIE) and the effect that is not explained (natural direct effect, NDE) by new VCFD (binary mediator) at T1. Because there was no interaction between the exposure and mediator (p=0.88 for SIAS; p=0.82 for ASSERT), the average NIE (aNIE) and average NDE (aNDE) are reported. The aNIE, aNDE and total effect, expressed as absolute increase in risk, were estimated in R using the ‘mediation’ package, which takes into account the 2-level structure of the data (VCs nested within patients).

Results

In total, 49 patients (2,667 corners) in SIAS and 168 patients (2,918 corners) in ASSERT were included. A new syndesmophyte occurred at T2 in 124/2,667 (5%) corners in SIAS and 91/2,918 (3%) corners in ASSERT (Table 1). New VCFD at T1 was also uncommon (SIAS: 4%; ASSERT: 2%), but occurred more often in corners with (SIAS: 12%; ASSERT: 18%) than without VCI at T0 (SIAS: 3%; ASSERT: 1%). Applying the mediation formula, in SIAS, the presence of VCI at T0 increased the probability of a new syndesmophyte in the same VC at T2 by 9.3% [total effect (95% CI)=9.3% (4.5; 15.0)]. There was only a 0.2% increase in this probability that was mediated by the formation of new VCFDs at T1 [aNIE=0.2% (-0.4; 1.0)]. In contrast, 9.1% of the increase in probability remained unexplained [aNDE=9.1 (4.3; 15.0)]. This means that only 2% (0.2/9.3) of the total effect of VCI on the formation of new syndesmophytes was explained by new VCFD [% mediated=2.0% (-4.1; 13)]. In ASSERT, the total effect was somewhat lower than in SIAS [total effect=7.3% (2.0; 16.0)], and again the aNIE was small [aNIE=0.8% (-0.2; 3.0)], and the aNDE composed most of the total effect [aNDE=6.5% (1.3; 14.0)]. The proportion of the total effect explained by VCFD (0.8/7.3=10% (-3.1;44)) was larger than in SIAS but still non-significant.

Table 1.

Marginal and conditional probabilities

SIASVCI T0New VCFD T1New SYND T2nP (SYND|VCI, VCFD)P(VCFD|VCI)0002302P (SYND|0,0) =90/2392= 0.038P(VCFD|0) = 74/2466=0.0300019001070P (SYND|0,1) =4/74 = 0.0540114100152P (SYND|1,0) = 25/177 = 0.141P(VCFD|1) = 24/201 =0.1191012511019P (SYND|1,1) = 5/24 = 0.2081115ASSERTVCI T0New VCFD T1New SYND T2nP (SYND|VCI, VCFD)P(VCFD|VCI)0002660P (SYND|0,0) = 76/2736= 0.028P(VCFD|0) = 35/2771 =0.0130017601034P (SYND|0,1) =1/35= 0.0290111100112P (SYND|1,0) = 9/121= 0.074P(VCFD|1) = 26/147 =0.177101911021P (SYND|1,1) = 5/26 = 0.1921115

VCI, vertebral corner inflammation; VCFD, vertebral corner fat deposition; Synd, syndesmophytes; T0, baseline; T1, intermediate visit; T2, end of follow-up; n, number of vertebral corners; P, probability

Conclusion

In these two datasets we see that VCI only infrequently leads to syndesmophyte formation via visible VCFD.

References

[1]Pearl, The mediation formula, 2011

Figure 1.

The pathways under study. VCI, vertebral corner inflammation; VCFD, vertebral corner fat deposition

Disclosure of Interests

Rosalinde Stal: None declared, Alexandre Sepriano Speakers bureau: Novartis, Consultant of: UCB, Sofia Ramiro Speakers bureau: Eli Lilly, MSD, Novartis, UCB, Consultant of: AbbVie, Eli Lilly, MSD, Novartis, Pfizer, UCB, Sanofi, Grant/research support from: AbbVi, Galapagos, MSD, Novartis, Pfizer, UCB, Floris A. van Gaalen Consultant of: Novartis, MSD, AbbVie, Bristol Myers Squibb, Eli Lilly, Grant/research support from: Stichting vrienden van Sole Mio, Stichting ASAS, Jacobus Stichting, Novartis, UCB, Pedro Machado Consultant of: Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, Xenofon Baraliakos: None declared, Rosaline van den Berg: None declared, Monique Reijnierse Grant/research support from: reader for ASAS CLASSIC study, Juergen Braun: None declared, Robert B.M. Landewé Consultant of: AbbVie, Amgen, BMS, GSK, Janssen, Eli Lilly, Novartis, Pfizer, UCB, Désirée van der Heijde Consultant of: AbbVie, Gilead, Glaxo-Smith-Kline, Lilly, Novartis, UCB Pharma, Grant/research support from: Dutch Rheumatism Association

POS1212 SARS-CoV-2 VACCINE SAFETY IN ADOLESCENTS WITH INFLAMMATORY RHEUMATIC AND MUSCULOSKELETAL DISEASES AND ADULTS WITH JUVENILE IDIOPATHIC ARTHRITIS

Background

There is a lack of data on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) vaccination safety in children and young people (CYP) with rheumatic and musculoskeletal diseases (RMDs). Current vaccination guidance is based on data from adults with RMDs or CYP without RMDs.

Objectives

To describe the characteristics and outcomes of adolescents with inflammatory RMDs and adults with juvenile idiopathic arthritis (JIA) vaccinated against SARS-CoV-2.

Methods

We described patient characteristics, flares, and adverse events in adolescent cases under 18 with inflammatory RMDs and adult cases aged 18 or above with JIA submitted to the European Alliance of Associations for Rheumatology (EULAR) COVAX registry.

Results

Thirty-six adolescent cases were reported from 4 countries, the most frequent diagnosis was JIA (42%). Over half (56%) reported early reactogenic-like adverse events (AEs) experienced within 7 days of vaccination. One mild polyarthralgia flare and one serious AE (malaise) were reported. No CYP reported SARS-CoV-2 infection post-vaccination.

In addition to the adolescent cases, eleven countries reported 74 adult JIA cases. Among these, 62% reported early reactogenic-like AEs and two flares were reported (mild polyarthralgia and moderate uveitis). No serious AEs of special interest were reported among adults with JIA. Three 20-30 year old females were diagnosed with SARS-CoV-2 post-vaccination; all fully recovered.

Conclusion

In this observational registry dataset, SARS-CoV-2 vaccines appeared safe in adolescents with RMDs and adults with JIA, with a low frequency of disease flares, serious AEs, and SARS-CoV-2 re-infection seen in both populations.

Table 1.

Characteristics of adolescents with RMDs and adults with JIA reported to the EULAR COVAX registry

Adolescents with RMDs (N=36)Adults with JIA (N=74)SexFemale21 (58)54 (73)Male15 (42)20 (27)Age (median [IQR])15 [14.5, 17]26 [23, 31]Primary RMD diagnosisNon-systemic JIA10 (28)63 (85)Systemic JIA5 (14)11 (15)Systemic lupus erythematosus5 (14)Spondyloarthritis/psoriatic arthritis5 (14)Vasculitis/other RMD #11 (30)RMD disease activityRemission23 (64)33 (45)Minimal8 (22)21 (28)Moderate2 (6)12 (16)Severe1 (3)1 (1)Not applicable/missing2 (6)7 (10)RMD medicationNone9 (25)3 (4)b-DMARD9 (25)50 (68)cs-DMARD21 (58)25 (34)ts-DMARD5 (14)2 (3)Systemic glucocorticoids5 (14)1 (1)Colchicine7 (10)Other immunosuppressant *COVAX typePfizer/BioNTech33 (92)50 (68)Moderna2 (6)10 (14)AstraZeneca/Oxford1 (3)10 (14)Janssen1 (1)CoronaVac2 (3)UNK1 (1)COVAX doses111 (31)8 (11)22 (24)61 (82)31 (3)5 (7)RMD flareYes1 (3)2 (3)AEYes20 (56)46 (62)Early AEInjection site pain8 (22)16 (22)Redness6 (17)2 (3)Muscle pain1 (3)9 (12)Joint pain4 (11)3 (4)Headache9 (25)10 (14)Fever1 (3)26 (35)Chills2 (6)5 (7)Fatigue1 (3)13 (18)VomitingAE of special interestNon-serious1 (3)1 (1)Serious – important medical event1 (3)

All data are N(%) of the column unless stated otherwise.

# Other RMD includes Sjogren’s syndrome, systemic sclerosis, undifferentiated connective tissue disease, non-monogenic auto-inflammatory syndrome, chronic recurrent multifocal osteomyelitis, and other inflammatory arthritis

* Other immunosuppressant includes ciclosporin, mycophenolate mofetil/mycophenolic acid.

RMD, rheumatic and musculoskeletal disease; JIA, juvenile idiopathic arthritis; EULAR, European Alliance of Associations for Rheumatology; ANCA-associated vasculitis, anti-neutrophil cytoplasmic antibody-associated vasculitis; cs-, conventional synthetic; b-, biological; ts-, targeted synthetic; DMARD, disease-modifying anti-rheumatic drug; COVAX, Coronavirus vaccine; AE, adverse event.

Acknowledgements

We wish to thank all healthcare providers who entered data into the registry.

Disclosure of Interests

Saskia Lawson-Tovey: None declared, Anja Strangfeld Speakers bureau: AbbVie, MSD, Roche, BMS, Pfizer, Elsa Mateus: None declared, Laure Gossec Consultant of: AbbVie, Amgen, BMS, Galapagos, Gilead, GSK, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, UCB, Grant/research support from: Amgen, Galapagos, Lilly, Pfizer, Sandoz, Loreto Carmona: None declared, Pedro Machado Speakers bureau: AbbVie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche, UCB, Consultant of: AbbVie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche, UCB, BERND RAFFEINER: None declared, Inita Bulina Speakers bureau: AbbVie, Pfizer, Janssen, Boehringer Ingelheim, Daniel Clemente Speakers bureau: Novartis, GSK, Julija Zepa Speakers bureau: AbbVie, Novartis, Janssen/Johnson & Johnson, Ana Maria Rodrigues Speakers bureau: Amgen, AbbVie, Grant/research support from: Amgen, Pfizer, AstraZeneca, Xavier Mariette Consultant of: BMS, Galapagos, Gilead, Janssen, Novartis, Pfizer, Sanofi-Aventis, UCB, Grant/research support from: Ose, Kimme Hyrich Speakers bureau: AbbVie, Grant/research support from: Pfizer, BMS, UCB

OP0252 FACTORS ASSOCIATED WITH SEVERE COVID-19 OUTCOMES IN PATIENTS WITH IDIOPATHIC INFLAMMATORY MYOPATHY: RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE PHYSICIAN-REPORTED REGISTRY

Background

There is a paucity of data in the literature about the outcome of patients with idiopathic inflammatory myopathy (IIM) who have been infected with SARS-CoV-2.

Objectives

To investigate factors associated with severe COVID-19 outcomes in patients with IIM.

Methods

Data on demographics, number of comorbidities, region, COVID-19 time period, physician-reported disease activity, anti-rheumatic medication exposure at the clinical onset of COVID-19, and COVID-19 outcomes of IIM patients were obtained from the voluntary COVID-19 Global Rheumatology Alliance physician-reported registry of adults with rheumatic disease (from 17 March 2020 to 27 August 2021). An ordinal COVID-19 severity scale was used as primary outcome of interest, with each outcome category being mutually exclusive from the other:a) no hospitalization, b) hospitalization (and no death), or c) death. Odds ratios (OR) were estimated using multivariable ordinal logistic regression. In ordinal logistic regression, the effect size of a categorical predictor can be interpreted as the odds of being one level higher on the ordinal COVID-19 severity scale than the reference category.

Results

Complete hospitalization and death outcome data was available in 348 IIM cases. Mean age was 53 years, and 223 (64.1%) were female. Overall, 167/348 (48.0%) people were not hospitalized, 136/348 (39.1%) were hospitalized (and did not die), and 45/348 (12.9%) died. Older age (OR=1.59 per decade of life, 95%CI 1.32-1.93), male sex (OR=1.63, 95%CI 1.004-2.64; versus female), high disease activity (OR=4.05, 95%CI 1.29-12.76; versus remission), presence of two or more comorbidities (OR=2.39, 95%CI 1.22-4.68; versus none), prednisolone-equivalent dose >7.5 mg/day (OR=2.37, 95%CI 1.27-4.44; versus no glucocorticoid intake), and exposure to rituximab (OR=2.60, 95%CI 1.23-5.47; versus csDMARDs only) were associated with worse COVID-19 outcomes (Table 1).

Table 1.

Multivariable logistic regression analysis of factors associated with the ordinal COVID-19 severity outcomes. AZA, azathioprine; CI, confidence interval; combo, combination; CSA, ciclosporin; CYC, cyclophosphamide; DMARD, disease-modifying anti-rheumatic drug; b/tsDMARD, biologic/targeted synthetic DMARD, csDMARD, conventional synthetic DMARD; HCQ, hydroxychloroquine; IVIg, intravenous immunoglobulin; LEF, leflunomide; MMF, mycophenolate mofetil; mono, monotherapy; MTX, methotrexate; OR, odds ratio; Ref, reference; RTX, rituximab; SSZ, sulfasalazine; TAC, tacrolimus.

VariableOR (95%CI)P-valueVariableOR (95%CI)P-valueAge (per decade)1.59 (1.32-1.93)<0.001ComorbiditiesMale sex1.63 (1.004-2.64)0.048NoneRefNAPrednisolone-equivalent doseOne1.46 (0.79-2.72)0.228NoneRefNATwo or more2.39 (1.22-4.68)0.011>0 to 7.5mg/day1.10 (0.57-2.11)0.779Physician-reported disease activity>7.5mg/day2.37 (1.27-4.44)0.007RemissionRefNAIVIg0.41 (0.15-1.16)0.093Low/moderate1.23 (0.67-2.28)0.504DMARDsHigh4.05 (1.29-12.76)0.018csDMARD only (mono or combi - HCQ, MTX, LEF, SSZ)RefNARegionNo DMARD1.84 (0.90-3.75)0.094EuropeRefNAb/tsDMARD mono or combi (except RTX)1.60 (0.49-5.26)0.435North America0.89 (0.49-1.61)0.694CSA/CYC/TAC mono or combi (except RTX or b/tsDMARDs)1.55 (0.52-4.58)0.429Other4.25 (2.21-8.16)<0.001AZA mono1.70 (0.69-4.19)0.249Time periodMMF mono1.22 (0.53-2.82)0.634Before 15 June 2020RefNAAZA/MMF combi (except RTX or b/tsDMARDs)0.71 (0.25-2.00)0.51716 June - 30 September 20200.58 (0.26-1.27)0.171RTX mono or combi2.60 (1.23-5.47)0.012After 1 October 20200.58 (0.35-0.95)0.032

Conclusion

These are the first global registry data on the impact of COVID-19 on IIM patients. Older age, male gender, higher comorbidity burden, higher disease activity, higher glucocorticoid intake and rituximab exposure were associated with worse outcomes. These findings will inform risk stratification and management decisions for IIM patients.

References

None

Disclosure of Interests

Su-Ann Yeoh: None declared, Milena Gianfrancesco: None declared, Saskia Lawson-Tovey: None declared, Kimme Hyrich Speakers bureau: AbbVie unrelated to this work, Grant/research support from: Pfizer, BMS, both unrelated to this work, Anja Strangfeld Speakers bureau: AbbVie, Celltrion, MSD, Janssen, Lilly, Roche, BMS, Pfizer, all unrelated to this work, Laure Gossec Consultant of: AbbVie, Amgen, BMS, Galapagos, Gilead, GSK, Janssen, Lilly, Novartis, Pfizer, Samsung Bioepis, Sanofi-Aventis, UCB, all unrelated to this work, Grant/research support from: Amgen, Galapagos, Lilly, Pfizer, Sandoz, all unrelated to this work, Loreto Carmona: None declared, Elsa Mateus Consultant of: Boehringer Ingelheim Portugal, not related to this work, Martin Schaefer: None declared, Christophe Richez Speakers bureau: Abbvie, Amgen, Astra Zeneca, Biogen, BMS, Celltrion, Eli Lilly, Galapagos, GSK, MSD, Novartis, and Pfizer, all unrelated to this abstract, Consultant of: Abbvie, Amgen, Astra Zeneca, Biogen, BMS, Celltrion, Eli Lilly, Galapagos, GSK, MSD, Novartis, and Pfizer, all unrelated to this abstract, Eric Hachulla Speakers bureau: Johnson & Johnson, GlaxoSmithKline, Roche-Chugai, all unrelated to this work, Consultant of: Bayer, Boehringer Ingelheim, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, all unrelated to this work, Grant/research support from: CSL Behring, GlaxoSmithKline, Johnson & Johnson, Roche-Chugai, Sanofi-Genzyme, all unrelated to this work, Marie Holmqvist: None declared, Carlo Alberto Scirè Grant/research support from: AbbVie, Lilly, both unrelated to this work, Rebecca Hasseli: None declared, Arundathi Jayatilleke: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Victor Pimentel-Quiroz: None declared, Monica Vasquez del Mercado: None declared, Samuel Katsuyuki Shinjo: None declared, Edgard Reis Neto: None declared, Laurindo Rocha Jr: None declared, Ana Carolina de Oliveira e Silva Montandon Speakers bureau: GSK, not related to this work, Paula Jordan: None declared, Emily Sirotich: None declared, Jonathan Hausmann Speakers bureau: Novartis, Biogen, Pfizer, not related to this work, Consultant of: Novartis, Biogen, Pfizer, not related to this work, Jean Liew Grant/research support from: Pfizer research grant, completed in 2021, not related to this work, Lindsay Jacobsohn: None declared, Monique Gore-Massy Speakers bureau: Aurinia Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, not related to this work, Consultant of: Aurinia Pharmaceuticals, Boehringer Ingelheim, Bristol-Myers Squibb, not related to this work, Paul Sufka: None declared, Rebecca Grainger Speakers bureau: AbbVie, Janssen, Novartis, Pfizer and Cornerstones, all unrelated to this work, Consultant of: AbbVie, Novartis, both unrelated to this work, Suleman Bhana Shareholder of: Pfizer, Inc, Speakers bureau: AbbVie, Horizon, Novartis, and Pfizer, all unrelated to this work, Consultant of: AbbVie, Horizon, Novartis, and Pfizer, all unrelated to this work, Employee of: Pfizer, Inc, Zachary Wallace: None declared, Philip Robinson Speakers bureau: Abbvie, Janssen, Roche, GSK, Novartis, Lilly, UCB, all unrelated to this work, Paid instructor for: Lilly, unrelated to this work, Consultant of: GSK, Kukdong, Atom Biosciences, UCB, all unrelated to this work, Grant/research support from: Janssen, Pfizer, UCB and Novartis, all unrelated to this work, Jinoos Yazdany Consultant of: Aurinia, Astra Zeneca, Pfizer, all unrelated to this work, Grant/research support from: Astra Zeneca, Gilead, BMS Foundation, all unrelated to this work, Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this work., Consultant of: Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this work.

POS0153 MRI SPINAL LESIONS IN PATIENTS WITHOUT MRI OR RADIOGRAPHIC LESIONS IN THE SACROILIAC JOINTS TYPICAL OF AXIAL SPONDYLOARTHRITIS

Background

There are limited data as to the frequency of spinal lesions on MRI in patients without MRI or radiographic features typical of sacroiliac joint (SIJ) disease and to what degree spine MRI might enhance diagnostic evaluation.

Objectives

To assess the frequency of MRI lesions of the spine in the ASAS-Classification Cohort according to the presence of MRI SIJ lesions typical of axSpA and/or radiographic sacroiliitis (mNY+).

Methods

MRI spine lesions were recorded by 9 central readers in an eCRF that captures global assessment of the spine (“Is the MRI consistent with axSpA: yes/no”) (yes=MRIglobal spine+) and detailed anatomical-based scoring of each discovertebral unit plus lateral and posterior structures. Independently, readers globally assessed SIJ scans for active and/or structural lesions typical of axSpA. We compared the frequency of MRIglobal spine+ and frequencies of different types of spinal lesions according to the presence/absence of axSpA on global evaluation of SIJ scans by ≥5 of 9 readers (MRIglobal SIJ+) and mNY+ sacroiliitis using Fisher’s exact test. Analysis was also stratified by rheumatologist diagnosis.

Results

Among 51 cases with SIJ as well as spine MRI scans and radiographs of the SIJ,19 (37.3%) had MRIglobal SIJ+, and 12 (23.5%) and 7 (13.7%) had MRIglobal spine+ by ≥2 and ≥5 reader agreement, respectively. MRIglobal spine+ occurred significantly more frequently in the presence of mNY+ sacroiliitis and MRIglobal SIJ+ but was also recorded in 4 of 32(12.5%) (≥2 readers) and 1 of 32(3.4%) (≥5 readers) cases that were MRIglobal SIJ- and x-ray negative, all 4 cases being diagnosed with axSpA. Moreover, vertebral corner BME lesions, but not spinal structural lesions, were significantly more frequent in MRIglobal SIJ- cases that had been clinically diagnosed as axSpA versus non-axSpA (Table 1).

Table 1.

Frequency of Spinal MRI lesions According to SIJ Imaging Positive for AxSpA

MRI Spinal Lesions, N (%)MRIglobalSIJ+ (n=19)MRIglobalSIJ- (n=32)P valueMRIglobal SIJ+ and/or mNY+ (n=22)MRIglobal SIJ- and mNY- (n=29)P valueMRIglobal SIJ- and SpA Diagnosis+(n=17)MRIglobal SIJ- and SpA Diagnosis- (n=15)P valueMRIglobal consistent with axSpA (≥2/9 readers agree)8 (42.1%)4 (12.5%)0.048(36.4%)4(13.8%)0.104 (23.5%)0 (0%)0.10MRIglobal consistent with axSpA (≥5/9 readers agree)6 (31.6%)1 (3.1%)0.016 (27.3%)1 (3.4%)0.031 (5.9%)0 (0%)1.0VC BME ≥19 (47.4%)15 (46.9%)46.9% RT 62.5% CT 29.4% GT1.010(45.5%)14(48.3%)1.011 (64.7%)4 (26.7%)0.04VC BME ≥26 (31.6%)10 (31.3%)31.2% RT 55.6% CT 19.6% GT1.06(27.3%)10(34.5%)0.769 (52.9%)1 (6.7%)0.007VC BME ≥36 (31.6%)7 (21.9%)21.9% RT 53.8% CT 13.7% GT0.526(27.3%)7(24.1%)1.07 (41.2%)0 (0%)0.008VC BME ≥45 (26.3%)5 (15.6%)0.475(22.7%)5(17.2%)0.735 (29.4%)0 (0%)0.046Vertebral Endplate BME ≥12 (10.5%)3 (9.4%)1.02(9.1%)3(10.3%)1.02 (11.8%)1 (6.7%)1.0Lateral vertebral BME3 (15.8%)3 (9.4%)0.663(13.6%)3(10.3%)1.03 (17.6%)0 (0%)0.23Facet BME ≥14 (21.1%)1 (3.1%)3.1% RT 20.0% CT 2.0% GT0.064(18.2%)1(3.4%)0.151 (5.9%)0 (0%)1.0Posterior BME ≥15 (26.3%)2 (6.3%)0.095(22.7%)2(6.9%)0.221 (5.9%)1 (6.7%)1.0VC Fat ≥18 (42.1%)42.1% RT 44.4% CT 15.7% GT10 (31.3%)31.2% RT 55.6% CT 19.6% GT0.558(36.4%)10(34.5%)1.05 (29.4%)5 (33.3%)1.0VC Fat ≥27 (36.8%)5 (15.6%)0.107(31.8%)5(17.2%)0.323 (17.6%)2 (13.3%)1.0VC Fat ≥36 (31.6%)31.6% RT 66.7% CT 11.8% GT3 (9.4%)0.066(27.3%)3(10.3%)0.151 (5.9%)2 (13.3%)0.59VC Fat ≥46 (31.6%)1 (3.1%)0.016(27.3%)1(3.4%)0.030 (0%)1 (6.7%)0.47Lateral Fat ≥16 (31.6%)2 (6.3%)0.046(27.3%)2(6.9%)0.060 (0%)2 (13.3%)0.21Erosion ≥13 (15.8%)2 (6.3%)0.353(13.6%)2(6.9%)0.641 (5.9%)1 (6.7%)1.0Bone Spur ≥14 (21.1%)5 (15.6%)0.714(18.2%)5(17.2%)1.04 (23.5%)1 (6.7%)0.34Ankylosis ≥12 (10.5%)0 (0%)0.132(9.1%)0(0%)0.180 (0%)0 (0%)-

Conclusion

Spinal lesions on MRI indicative of axSpA per majority read occurred in about 3% of patients without positive imaging in the SIJ. Frequency of spinal BME lesions was higher in cases with negative SIJ imaging but clinically diagnosed with axSpA.

Disclosure of Interests

None declared

AB0818 PREDICTORS OF REMISSION IN PATIENTS WITH AXIAL SPONDYLOARTHRITIS: A SYSTEMATIC LITERATURE REVIEW

Background

Achievement of remission is a desirable outcome in axSpA, and the identification of remission predictors may further aid in the clinical and personalised management of the disease.

Objectives

To systematically review and summarize the predictors of remission in patients with axSpA.

Methods

A comprehensive search was performed in MEDLINE, EMBASE, Cochrane CENTRAL, and 2020-2021 abstracts of ACR and the EULAR annual meetings. To identify the relevant studies, medical subject headings and keywords related to “axial spondyloarthritis”, “remission,” and “prognostic study” were used. Studies were included if: patients were diagnosed with axSpA by a physician; age ≥18 years; the study assessed the potential predictive or prognostic factors related to remission, according to any definition; and the statistical analysis included multivariable analysis. The methodological quality of the included studies was assessed using the Quality of Prognosis Studies in Systematic Reviews tool.

Results

The systematic literature review (SLR) comprised 22 articles from 4245 citations identified in our search (Figure 1). Two studies investigated “sustained remission” (at least in 3 consecutive follow-up visits), while the others assessed “point remission” (at single points in time). The most commonly used remission criteria were Ankylosing Spondylitis Disease Activity Score (ASDAS) inactive disease (14 studies) and Assessment of SpondyloArthritis international Society partial remission (ASAS-PR; 11 studies) criteria. However, other non-validated definitions, most of them including Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) cut-offs, were also used. In 19 studies, subjects were treated with biological disease-modifying antirheumatic drugs (bDMARDs) with or without concomitant conventional synthetic disease-modifying antirheumatic drugs (csDMARDs) or non-steroidal anti-inflammatory drugs (NSAIDs), while in one study patients were treated with a Janus kinase inhibitor, upadacitinib. Study duration ranged from 12 weeks to 8 years. Younger age, HLA-B27 positivity, male gender, lower baseline BASDAI, lower baseline Bath Ankylosing Spondylitis Functional Index (BASFI) and treatment with tumour necrosis factor inhibitor (TNFi), were the most consistent predictors of remission. Additionally, lower baseline ASDAS-CRP, lower body mass index (BMI), shorter disease duration, TNFi naivety, and concomitant use of csDMARDs were found to be predictors of remission in two studies each. Other predictors were only found to be associated with remission in single studies, namely: higher education level, more intense morning stiffness, lower baseline total back pain score, history of peripheral arthritis, no smoking, higher pain catastrophizing, lower modified Rheumatic Disease Comorbidity Index, fulfilment of ASAS clinical arm criteria, fulfilment of European Spondyloarthropathy Study Group criteria, lower erythrocyte sedimentation rate, higher Spondyloarthritis Research Consortium of Canada magnetic resonance imaging (MRI) sacroiliac joint (SIJ) and spinal inflammation score, positive MRI of the SIJ, lower Bath Ankylosing Spondylitis Metrology Index, lower Health Assessment Questionnaire for the Spondyloarthropaties, lower global pain, lower back pain score and lower enthesitis index. Of note, contradictory data were found regarding CRP and NSAIDs usage.

Figure 1.

Flow chart of study selection

Conclusion

Thirty-four predictors of remission in axSpA were identified. However, many of these predictors were only identified in one or two studies. Considering the differences in study design, particularly characteristics of the population, duration of remission and remission criteria, further well-designed studies are needed to allow generalisation of the identified predictors to the general axSpA population.

Acknowledgements

We would like to thank Kate Brunskill, librarian of University College of London, for the support and review of the search strategy.

Disclosure of Interests

Ana Sofia Pinto: None declared, Bayram Farisogullari: None declared, Pedro Machado Speakers bureau: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this manuscript, Consultant of: Received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Galapagos, Janssen, MSD, Novartis, Orphazyme, Pfizer, Roche and UCB, all unrelated to this manuscript

Electrocardiographic imaging a valid tool or an inaccurate toy?

Funding Acknowledgements

Type of funding sources: Private hospital(s). Main funding source(s): Learning Health

Background and aim

Electrocardiographic imaging (ECGI) is capable of performing an activation map with a single beat. However, previous studies using the epicardial-only system, have suggested a bad accuracy for the assessment of the epicardial breakthrough. Recent systems using endo-epicardial analysis have shown promising results. The aim of this study was to assess the accuracy and reproducibility of two endo-epicardial ECGI systems using different cardiac sources one based on the extracellular-potential, and the other on the equivalent double layer model, respectively the AMYCARD (EP Solutions SA, Switzerland) and VIVO (Catheter Precision, NJ USA) systems.

Methods

We studied 11 consecutive patients referred for ablation of frequent idiopathic premature ventricular contractions at our center that had an ECGI performed using both systems on the same day. The AMYCARD system uses a dense array of body-surface electrocardiograms with up to 224 leads and VIVO uses just the 12-leads ECG. Both systems use a patient-specific heart torso geometry obtained with a CT-scan or cardiac magnetic resonance. The localisation of the PVCs based on ECGI was done using a segmental model with 22 segments on the left ventricle, to include the classical 17 segment model plus the aortic cusps and the papillary muscles, and 12 segments on the right ventricle including 4 on the right ventricular outflow tract (RVOT): (anterior, lateral, right septum and left septum). A perfect match was defined as a predicted location within the same anatomic segment, whereas a near match as a predicted location within the same segment or a contiguous one.

Results

The median (Q1-Q3) number of leads used for the AMYCARD was 131 (118-144). Seven patients underwent ablation and in 4 ablation is pending. The predicted locations and the ablation site are depicted on the Table. We found a perfect match between both systems in 73% (Figure) and near match in 91% of cases. In patients that underwent ablation the systems localised the site of origin of the PVCs within the same segment or the contiguous segment in all patients with VIVO and in six out of seven with AMYCARD.

Conclusions

ECGI is an accurate diagnostic tool with reproducible results regardless the cardiac source used for analysis.

Application of cellulosic materials as supports for single-step purification and immobilization of a recombinant β-galactosidase via cellulose-binding domain

This study aimed to develop single-step purification and immobilization processes on cellulosic supports of β-galactosidase from Kluyveromyces sp. combined with the Cellulose-Binding Domain (CBD) tag. After 15 min of immobilization, with an enzymatic load of 150 U/g_support, expressed activity values reached 106.88 (microcrystalline cellulose), 115.03 (alkaline nanocellulose), and 108.47 IU/g (acid nanocellulose). The derivatives produced were less sensitive to the presence of galactose in comparison with the soluble purified enzyme. Among the cations assessed (Na⁺, K⁺, Mg²⁺, and Ca²⁺), magnesium provided the highest increase in the enzymatic activity of β-galactosidases immobilized on cellulosic supports. Supports and derivatives showed no cytotoxic effect on the investigated cell cultures (HepG2 and Vero). Derivatives showed high operational stability in the hydrolysis of milk lactose and retained from 53 to 64% of their hydrolysis capacity after 40 reuse cycles. This study obtained biocatalyzers with promising characteristics for application in the food industry. Biocatalyzers were obtained through a low-cost one-step sustainable bioprocess of purification and immobilization of a β-galactosidase on cellulose via CBD.

One-step purification of a recombinant beta-galactosidase using magnetic cellulose as a support: Rapid immobilization and high thermal stability

For the first time, this work reported the one-step purification and targeted immobilization process of a β-galactosidase (Gal) with the Cellulose Binding Domain (CBD) tag, by binding it to different magnetic cellulose supports. The process efficiency after β-galactosidase-CBD immobilization on magnetic cellulose-based supports showed values of approximately 90% for all evaluated enzymatic loads. Compared with free Gal, derivatives showed affinity values between β-galactosidase and the substrate 1.2 × higher in the lactose hydrolysis of milk. β-Galactosidase-CBD's oriented immobilization process on supports increased the thermal stability of the immobilized enzyme by up to 7 × . After 15 cycles of reuse, both enzyme preparations showed a relative hydrolysis percentage of 50% of lactose in milk. The oriented immobilization process developed for purifying recombinant proteins containing the CBD tag enabled the execution of both steps simultaneously and quickly and the obtention of β-galactosidases with promising catalytic characteristics for application in the food and pharmaceutical industries.

8-Mercaptoguanine-based inhibitors of Mycobacterium tuberculosis dihydroneopterin aldolase: synthesis, in vitro inhibition and docking studies

The dihydroneopterin aldolase (DHNA, EC 4.1.2.25) activity of FolB protein is required for the conversion of 7,8-dihydroneopterin (DHNP) to 6-hydroxymethyl-7,8-dihydropterin (HP) and glycolaldehyde (GA) in the folate pathway. FolB protein from Mycobacterium tuberculosis (MtFolB) is essential for bacilli survival and represents an important molecular target for drug development. S8-functionalized 8-mercaptoguanine derivatives were synthesised and evaluated for inhibitory activity against MtFolB. The compounds showed IC₅₀ values in the submicromolar range. The inhibition mode and inhibition constants were determined for compounds that exhibited the strongest inhibition. Additionally, molecular docking analyses were performed to suggest enzyme-inhibitor interactions and ligand conformations. To the best of our knowledge, this study describes the first class of MtFolB inhibitors.

POS0032 SCORING MRI STRUCTURAL LESIONS IN SACROILIAC JOINTS OF PATIENTS WITH AXIAL SPONDYLOARTHRITIS: HOW MANY SLICES ARE OPTIMAL?

Background:

There is no international consensus on the optimal number of slices for evaluation of MRI structural lesions in the SIJ. An “all slice” method evaluates lesions from the most anterior slice, defined as the first slice with vertical height of ≥1cm of the SIJ joint cavity, up to the most posterior slice, defined as the most posterior slice where ≥1cm vertical height of the cartilaginous portion is still visible. The SPARCC method scores the transitional slice between cartilaginous and ligamentous compartments as the first slice and then an additional 4 slices anterior to the transitional slice.

Objectives:

We aimed to investigate inter-reader reliability, the extent of detection of lesions, and frequency of cases with a positive MRI for structural lesions when using an “all slice” approach versus the SPARCC scoring of 5 central slices.

Methods:

MRI T1W images with DICOM series were available from 148 cases who had MRI performed in the ASAS-Classification Cohort. Seven central readers recorded MRI lesions in an eCRF that recorded global assessments of presence/absence of changes suggestive of axSpA and structural lesions typical of axSpA. Structural lesions per the ASAS definitions were also recorded in consecutive semicoronal slices using the “all slice” approach, but also recording the transitional slice, according to their presence/absence in SIJ quadrants (erosion, fat lesion, sclerosis) or halves (backfill, ankylosis). Structural lesion frequencies were assessed descriptively according to majority agreement (≥4/7) of central readers and also any 2 central readers. Reliability for detection of MRI lesions was compared between central and local readers using the ICC.

Results:

The mean (SD) (range) number of anterior and posterior slices peripheral to the 5 central slices was 1.0 (1.0) (0-4) and 2.2 (1.8) (0-6) per case, respectively. There were 2 cases (1.4%) where ≥2 readers scored structural lesions in peripheral slices but not in the 5 central slices. The mean percentage of the total structural lesion score that was captured by the 5 central slices was >75% for all types of lesions except ankylosis (59%) (Table 1). Inter-reader reliability was greater for all lesions when assessing the 5 central slices and especially for erosion and backfill (Table 1).

Conclusion:

The major component of structural lesion data is captured by assessment of 5 slices, which includes the transitional slice and the subsequent 4 anterior slices. Moreover, reliability for detection of structural lesions is substantially worse in peripheral slices.

MRI Lesion“All slice”Central 5 slicesPeripheral slicesP value central vs peripheral slicesP value“all slice” vs central slicesMean (SD) Lesion Score Per CaseErosion2.4 (4.5) (0-22.9)1.8(3.4) (0-17.1)0.6 (1.4) (0-10.1)<0.001< 0.001Fat lesion2.5 (5.9) (0-34.0)1.8 (4.5) (0-25.1)0.7 (1.8) (0-9.9)< 0.001<0.001Sclerosis2.0 (4.9) (0-39.0)1.5 (3.6) (0-26.1)0.5 (1.5) (0-12.9)< 0.001<0.001Backfill0.5 (1.5) (0-12)0.4 (1.2) (0.0-9.3)0.1 (0.4) (0-2.7)< 0.0010.84Ankylosis0.5 (3.4) (0-30.7)0.3 (2.3) (0-20.0)0.2 (1.2) (0-11.3)0.100.18Mean (SD) (Range) % of Total Lesion Score in Central vs Peripheral slicesErosion100%76.4% (28.9%) (0-100%)23.6% (28.9%) (0-100%)<0.001NAFat lesion100%75.4% (26.5%) (0-100%)24.6% (26.5%) (0-100%)<0.001NASclerosis100%79.5% (22.9%) (0-100%)20.5% (22.9%) (0-100%)<0.001NABackfill100%86.0% (20.2%) (0-100%)14.0% (20.2%)(0-100%)<0.001NAAnkylosis100%59.0% (36.4%) (0-100%)41.0% (36.4%) (0-100%)0.56NAICC of 7 readers (Mean (SD) (Range))MRI lesionAll slicesCentral 5 slicesPeripheral slicesErosion0.54 (0.15) (0.28-0.84)0.58 (0.13) (0.34-0.85)0.40 (0.17) (0.10-0.66)Fat lesion0.61 (0.18) (0.30-0.89)0.63 (0.16) (0.35-0.88)0.52 (0.20) (0.19-0.82)Sclerosis0.73 (0.18) (0.36-0.94)0.73 (0.16) (0.36-0.91)0.67 (0.19) (0.27-0.94)Backfill0.37 (0.21) (0.10-0.85)0.39 (0.19) (0.14-0.83)0.18 (0.23) (0.0-0.80)Ankylosis0.97 (0.02) (0.91-0.99)0.99 (0.01) (0.97-1.0)0.85 (0.10) (0.62-0.98)

Disclosure of Interests:

None declared.

OP0286 CHARACTERISTICS ASSOCIATED WITH SEVERE COVID-19 OUTCOMES IN SYSTEMIC LUPUS ERYTHEMATOSUS (SLE): RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE (COVID-19 GRA)

Background:

An increased risk of severe COVID-19 outcomes may be seen in patients with autoimmune diseases on moderate to high daily doses of glucocorticoids, as well as in those with comorbidities. However, specific information about COVID-19 outcomes in SLE is scarce.

Objectives:

To determine the characteristics associated with severe COVID-19 outcomes in a multi-national cross-sectional registry of COVID-19 patients with SLE.

Methods:

SLE adult patients from a physician-reported registry of the COVID-19 GRA were studied. Variables collected at COVID-19 diagnosis included age, sex, race/ethnicity, region, comorbidities, disease activity, time period of COVID-19 diagnosis, glucocorticoid (GC) dose, and immunomodulatory therapy. Immunomodulatory therapy was categorized as: antimalarials only, no SLE therapy, traditional immunosuppressive (IS) drug monotherapy, biologics/targeted synthetic IS drug monotherapy, and biologic and traditional IS drug combination therapy. We used an ordinal COVID-19 severity outcome defined as: not hospitalized/hospitalized without supplementary oxygen; hospitalized with non-invasive ventilation; hospitalized with mechanical ventilation/extracorporeal membrane oxygenation; and death. An ordinal logistic regression model was constructed to assess the association between demographic characteristics, comorbidities, medications, disease activity and COVID-19 severity. This assumed that the relationship between each pair of outcome groups is of the same direction and magnitude.

Results:

Of 1069 SLE patients included, 1047 (89.6%) were female, with a mean age of 44.5 (SD: 14.1) years. Patient outcomes included 815 (78.8%) not hospitalized/hospitalized without supplementary oxygen; 116 (11.2) hospitalized with non-invasive ventilation, 25 (2.4%) hospitalized with mechanical ventilation/extracorporeal membrane oxygenation and 78 (7.5%) died. In a multivariate model (n=804), increased age [OR=1.03 (1.01, 1.04)], male sex [OR =1.93 (1.21, 3.08)], COVID-19 diagnosis between June 2020 and January 2021 (OR =1.87 (1.17, 3.00)), no IS drug use [OR =2.29 (1.34, 3.91)], chronic renal disease [OR =2.34 (1.48, 3.70)], cardiovascular disease [OR =1.93 (1.34, 3.91)] and moderate/high disease activity [OR =2.24 (1.46, 3.43)] were associated with more severe COVID-19 outcomes. Compared with no use of GC, patients using GC had a higher odds of poor outcome: 0-5 mg/d, OR =1.98 (1.33, 2.96); 5-10 mg/d, OR =2.88 (1.27, 6.56); >10 mg/d, OR =2.01 (1.26, 3.21) (Table 1).

Table 1.

Characteristics associated with more severe COVID-19 outcomes in SLE. (N=804)

OR (95% CI)Age, years1.03 (1.01, 1.04)Sex, Male1.93 (1.21, 3.08)Race/Ethnicity, Non-White vs White1.47 (0.87, 2.50)RegionEuropeRef.North America0.67 (0.29, 1.54)South America0.67 (0.29, 1.54)Other1.93 (0.85, 4.39)Season, June 16th 2020-January 8th 2021 vs January-June 15th 20201.87 (1.17, 3.00)Glucocorticoids0 mg/dayRef.0-5 mg/day1.98 (1.33, 2.96)5-10 mg/day2.88 (1.27, 6.56)=>10 mg/day2.01 (1.26, 3.21)Medication CategoryAntimalarial onlyRef.No IS drugs2.29 (1.34, 3.91)Traditional IS drugs as monotherapy1.17 (0.77, 1.77)b/ts IS drugs as monotherapy1.00 (0.37, 2.71)Combination of traditional and b/ts IS1.00 (0.55, 1.82)Comorbidity BurdenNumber of Comorbidities (excluding renal and cardiovascular disease)1.39 (0.97, 1.99)Chronic renal disease2.34 (1.48, 3.70)Cardiovascular disease1.93 (1.34, 3.91)Disease Activity, Moderate/ high vs Remission/ low 2.24 (1.46, 3.43)

IS: immunosuppressive. b/ts: biologics/targeted synthetics

Conclusion:

Increased age, male sex, glucocorticoid use, chronic renal disease, cardiovascular disease and moderate/high disease activity at time of COVID-19 diagnosis were associated with more severe COVID-19 outcomes in SLE. Potential limitations include possible selection bias (physician reporting), the cross-sectional nature of the data, and the assumptions underlying the outcomes modelling.

Acknowledgements:

The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance and do not necessarily represent the views of the ACR, EULAR) the UK National Health Service, the National Institute for Health Research (NIHR), or the UK Department of Health, or any other organization.

Disclosure of Interests:

Manuel F. Ugarte-Gil Grant/research support from: Pfizer, Janssen, Graciela S Alarcon: None declared, Andrea Seet: None declared, Zara Izadi: None declared, Cristina Reategui Sokolova: None declared, Ann E Clarke Consultant of: AstraZeneca, BristolMyersSquibb, GlaxoSmithKline, Exagen Diagnostics, Leanna Wise: None declared, Guillermo Pons-Estel: None declared, Maria Jose Santos: None declared, Sasha Bernatsky: None declared, Lauren Mathias: None declared, Nathan Lim: None declared, Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum unrelated to this work., Grant/research support from: Amgen and Bristol-Myers Squibb, Zachary Wallace Consultant of: Viela Bio and MedPace, Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi, Kimme Hyrich Speakers bureau: Abbvie, Grant/research support from: MS, UCB, and Pfizer, Anja Strangfeld Speakers bureau: AbbVie, MSD, Roche, BMS, Pfizer, Grant/research support from: AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB, Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB, Grant/research support from: Lilly, Mylan, Pfizer, Loreto Carmona: None declared, Elsa Mateus Grant/research support from: Pfizer, Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA, Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Patti Katz: None declared, Lindsay Jacobsohn: None declared, Samar Al Emadi: None declared, Emily Gilbert: None declared, Ali Duarte-Garcia: None declared, Maria Valenzuela-Almada: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Philippe Dieudé Consultant of: Boerhinger Ingelheim, Bristol-Myers Squibb, Lilly, Sanofi, Pfizer, Chugai, Roche, Janssen unrelated to this work, Grant/research support from: Bristol-Myers Squibb, Chugaii, Pfizer, unrelated to this work, Elena Nikiphorou: None declared, Vanessa Kronzer: None declared, Namrata Singh: None declared, Beth Wallace: None declared, Akpabio Akpabio: None declared, Ranjeny Thomas: None declared, Suleman Bhana Consultant of: AbbVie, Horizon, Novartis, and Pfizer (all <$10,000) unrelated to this work, Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones, Jonathan Hausmann Consultant of: Novartis, Sobi, Biogen, all unrelated to this work (<$10,000), Jean Liew Grant/research support from: Pfizer outside the submitted work, Emily Sirotich Grant/research support from: Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer based organization whose activities are largely supported by independent grants from pharmaceutical companies, Paul Sufka: None declared, Philip Robinson Speakers bureau: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Consultant of: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000), Milena Gianfrancesco: None declared, Jinoos Yazdany Consultant of: Eli Lilly and AstraZeneca unrelated to this project

OP0287 IMMUNOMODULATORY THERAPIES FOR SEVERE FORMS OF COVID-19: A SYSTEMATIC LITERATURE REVIEW TO INFORM EULAR POINTS TO CONSIDER

Background:

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) pandemic is a global health problem. Beside the specific pathogenic effect of SARS-CoV-2, a deleterious aberrant non-effective host immune response plays an important role especially in severe forms of COVID-19. There is intense investigation to explore the utility of immunomodulatory drugs commonly used in the Rheumatology arena as agents that may mitigate against COVID-19 to improve disease prognosis. Rheumatologists are used to the utilization of these immune targeted therapies.

Objectives:

To summarize the available information on the use of immunomodulatory agents in severe COVID-19.

Methods:

As part of a EULAR taskforce, a systematic literature search was conducted from January 2019 up to December 11, 2020. Two reviewers independently identified eligible studies according to the PICO framework P (population): patients with SARS-CoV-2 infection; I (intervention): any immunomodulator agent/strategy; C (comparator): any comparator; O (outcome) any clinical outcome including but not limited to mortality, admission to intensive care unit and clinical improvement. Data on efficacy and safety of immunomodulatory agents utilized therapeutically in SARS-CoV-2 infection at any stage were extracted. The risk of bias was assessed using validated tools.

Results:

Of 60372 records, 401 articles were eligible for inclusion. Studies were at variable risk of bias. Randomised controlled trials (RCTs) were available for the following drugs: hydroxychloroquine (N=12), glucocorticoids (N=6), tocilizumab (N= 4), convalescent plasma (N=4), interferon beta (N=2), IVIg (N=2) and N=1 each for anakinra, baricitinib, colchicine, leflunomide, ruxolitinib, interferon kappa, and vilobelimab. For glucocorticoids, dexamethasone reduced mortality only in patients requiring respiratory support; while methylprednisolone reduced mortality in patients aged 60 years or over. Data from RCTs on tocilizumab are conflicting and definite conclusions cannot be drawn at this point in time, but recent studies suggest possible benefit in patients requiring respiratory support. Hydroxychloroquine was not beneficial at any disease stage, one RCT with anakinra was negative, one RCT with baricitinib+remdesivir was positive, and individual trials testing some other compounds provided interesting, albeit preliminary, results.

Conclusion:

Although there is emerging evidence about immunomodulatory therapies for the management of COVID-19, conclusive data is scarce with some conflicting data. Since glucocorticoids seem to improve survival in some subsets of patients, RCTs comparing glucocorticoids alone versus glucocorticoids plus anti-cytokine/immunomodulatory treatment are warranted. This SLR informed the initiative to formulate EULAR points to consider on pathophysiology and use of immunomodulatory therapies in COVID-19.

Figure 1.

Forest plots showing the risk ratio (RR) and 95% confidence interval for mortality in randomized controlled trials divided by intervention. The latest follow-up available is reported in the timing column.

Disclosure of Interests:

None declared

OP0251 DATA-DRIVEN DEFINITIONS BASED ON INFLAMMATORY LESIONS FOR A POSITIVE MRI OF THE SPINE CONSISTENT WITH AXIAL SPONDYLOARTHRITIS

Background:

The ASAS definition of a positive MRI for inflammation in the spine (ASAS-MRIspine+) is intended for classification of patients as having axSpA but is often misused for diagnostic purposes. This is problematic because bone marrow edema (BME) in the spine may occur in 20-40% of those with mechanical back disorders. The ASAS MRI group has generated updated consensus lesion definitions which have been validated on MRI spine images from the ASAS Classification Cohort.

Objectives:

We aimed to identify quantitative cut-offs based on numbers of vertebral corners that define ASAS-MRIspine+, there being two gold standards: A. majority central reader decision as to the presence of spine MRI findings consistent with axSpA B. rheumatologist expert opinion diagnosis of axSpA.

Methods:

Eight ASAS-MRI readers recorded MRI lesions in the spine according to recently updated ASAS definitions from 62 cases in an eCRF that comprises global assessment (MRI consistent with axSpA? (yes/no)), and detailed scoring of lesions for all sites in the spine. We calculated sensitivity and specificity for numbers of vertebral corners with BME where a majority of readers (≥5/8) agreed as to the presence of MRI findings consistent with axSpA. We selected cut-offs with ≥95% specificity. These cut-offs were analyzed for their predictive utility for rheumatologist diagnosis of axSpA by calculating positive and negative predictive values (PPV, NPV) and selecting cut-offs with PPV ≥95%. Both criteria were considered requirements for designation of MRI cut-offs defining ASAS-MRIspine+.

Results:

MRI findings consistent with axSpA were observed by majority read in 8 (20%) of 40 cases diagnosed with axSpA, and 0 (0%) of 19 cases without axSpA. Cut-offs achieving specificity of ≥95% for MRI findings consistent with axSpA were 4 vertebral corners (sensitivity 75%) for all cases, 3 vertebral corners (sensitivity 37.5%) for cases with ≥1 additional location with inflammation, 1 vertebral corner (sensitivity 62.5%) in cases with ≥2 vertebral corner fat lesions (Table 1). All of the above cut-offs also had very high PPV (≥95%) for diagnosis of axSpA in cases diagnosed by the rheumatologist (Table 2).

Table 1.

Majority readers agree MRI findings consistent with axSpA are present is the gold-standard external reference

MRI cut-offsSensitivity (95%CI)Specificity (95%CI)BME in ≥2 vertebral corners87.5 (47.3 - 99.7)87.0 (75.1 - 94.6)BME in ≥ 3 vertebral corners87.5 (47.3 - 99.7)94.4 (84.6 - 98.8)BME in ≥4 vertebral corners75.0 (34.9 - 96.8)98.2 (90.1 - 100.0)Cases with ≥1 additional non-corner site inflammatory lesionBME in ≥2 vertebral corners37.5 (8.5 - 75.5)94.4 (84.6 - 98.8)BME in ≥3 vertebral corners37.5 (8.5 - 75.5)98.2 (90.1-100.0)Cases with ≥2 vertebral corner fat lesionsBME in ≥1 vertebral corner62.5 (24.5 - 91.5)100.0 (93.4-100.0)BME in ≥2 vertebral corners62.5 (24.5 - 91.5)100.0 (93.4-100.0)Table 2.

Predictive values of cut-offs for number of vertebral corners with BME according to the diagnostic ascertainment of the rheumatologist

MRI cut-offsSensitivity (95%CI)Specificity (95%CI)PPVNPVMRI findings consistent with axSpA ≥any 2 readers52.5 (36.1 - 68.5)94.7 (74.0 - 99.9)95.5 (75.3 - 99.3)48.6 (40.2 - 57.2)MRI findings consistent with axSpA ≥majority read20.0 (9.1 - 35.6)100.0 (82.4 - 100.0)100.037.3 (33.7 - 40.9)BME in ≥ 4 vertebral corners17.5 (7.3 - 32.8100.0 (82.4 - 100.0)100.036.5 (33.3 - 39.9)Cases with ≥1 additional inflammatory lesionBME in ≥ 3 vertebral corners10.00 (2.8 - 23.7)100.00 (82.4 - 100.0)100.034.5 (32.2 - 36.9)Cases with ≥2 vertebral corner fat lesionsBME in ≥1 vertebral corner12.50 (4.2 - 26.8)100.00 (82.4 - 100.0)100.035.2 (32.6 - 37.9)

Conclusion:

A cut-off of BME in ≥4 vertebral corners, or ≥3 corners in the setting of additional inflammatory lesions at other locations or corner fat, are primary candidates for defining ASAS-MRIspine+. These cut-offs apply to typical patients referred to a rheumatologist with a high index of suspicion of axSpA and may not be appropriate in other populations.

Disclosure of Interests:

None declared

POS0055 SARS-COV-2 OUTBREAK IN AUTOIMMUNE DISEASES: THE EURO-COVIMID STUDY

Background:

Coronavirus disease 2019 (COVID-19), has raised several questions in patients with immune-mediated inflammatory diseases (IMID). Whether the seroprevalence and factors associated with symptomatic COVID-19 are similar in IMID patients and in the general population is still unknown.

Objectives:

To assess the serological and clinical prevalence of COVID-19 in European IMID patients, along with the factors associated with its risk and the impacts the pandemic had on the IMID management.

Methods:

Prospective multicentre cross-sectional study among patients with five IMID (i.e. systemic lupus erythematous, Sjögren’s syndrome, rheumatoid arthritis, axial spondylarthritis or giant cell arteritis) from six tertiary-referral centers from France, Germany, Italy, Portugal, Spain and United Kingdom. Demographics, comorbidities, IMID, treatments, flares and COVID-19 details were collected. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) serological tests were systematically performed.

Results:

Between June 7 and December 8, 2020, 3028 patients were included (median age 58 years, 73.9% females). SARS-CoV-2 antibodies were detected in 166 (5.5%) patients. Symptomatic COVID-19 was seen in 122 patients (prevalence: 4.0%, 95% CI 3.4-4.8%); 23 (24.2%) of them were hospitalized and four (3.2%) died. In multivariate logistic regression analysis, symptomatic COVID-19 was more likely to be observed in patients with higher levels of C-reactive protein (OR: 1.18; 95% CI 1.05-1.33; p = 0.006), and increased with the number of IMID flares (OR: 1.27; 95% CI 1.02-1.58; p = 0.03). Conversely, it was less likely to occur in patients treated with biological therapy (OR: 0.51; 95% CI 0.32-0.82; p = 0.006). During the pandemic, at least one self-reported disease flare was seen in 654 (21.6%) patients. Also, 519 (20.6%) patients experienced changes in their treatment, with 125 of these (24.1%) being due to COVID-19.

Conclusion:

The SARS-CoV-2 prevalence in IMID patients over the study period seems to be similar to that of the general population1. The IMID inflammatory status seems to be independently associated with the development of COVID-19.

References:

[1]Pollán M, Pérez-Gómez B, Pastor-Barriuso R, Oteo J, Hernán MA, Pérez-Olmeda M, et al. Prevalence of SARS-CoV-2 in Spain (ENE-COVID): a nationwide, population-based seroepidemiological study. Lancet Lond Engl. 2020 Aug 22;396(10250):535–44.

Disclosure of Interests:

None declared.

OP0288 MACHINE LEARNING ALGORITHMS TO PREDICT COVID-19 ACUTE RESPIRATORY DISTRESS SYNDROME IN PATIENTS WITH RHEUMATIC DISEASES: RESULTS FROM THE GLOBAL RHEUMATOLOGY ALLIANCE PROVIDER REGISTRY

Background:

Acute Respiratory Distress Syndrome (ARDS) is a life-threatening complication of COVID-19 and has been reported in approximately one-third of hospitalized patients with COVID-191. Risk factors associated with the development of ARDS include older age and diabetes2. However, little is known about factors associated with ARDS in the setting of COVID-19, in patients with rheumatic disease or those receiving immunosuppressive medications. Prediction algorithms using traditional regression methods perform poorly with rare outcomes, often yielding high specificity but very low sensitivity. Machine learning algorithms optimized for rare events are an alternative approach with potentially improved sensitivity for rare events, such as ARDS in COVID-19 among patients with rheumatic disease.

Objectives:

We aimed to develop a prediction model for ARDS in people with COVID-19 and pre-existing rheumatic disease using a series of machine learning algorithms and to identify risk factors associated with ARDS in this population.

Methods:

We used data from the COVID-19 Global Rheumatology Alliance (GRA) Registry from March 24 to Nov 1, 2020. ARDS diagnosis was indicated by the reporting clinician. Five machine learning algorithms optimized for rare events predicted ARDS using 42 variables covering patient demographics, rheumatic disease diagnoses, medications used at the time of COVID-19 diagnosis, and comorbidities. Model performance was assessed using accuracy, area under curve, sensitivity, specificity, positive predictive value, and negative predictive value. Adjusted odds ratios corresponding to the 10 most influential predictors from the best performing model were derived using hierarchical multivariate mixed-effects logistic regression that accounted for within-country correlations.

Results:

A total of 5,931 COVID-19 cases from 67 countries were included in the analysis. Mean (SD) age was 54.9 (16.0) years, 4,152 (70.0%) were female, and 2,399 (40.5%) were hospitalized. ARDS was reported in 388 (6.5% of total and 15.6% of hospitalized) cases. Statistically significant differences in the risk of ARDS were observed by demographics, diagnoses, medications, and comorbidities using unadjusted univariate comparisons (data not shown). Gradient boosting machine (GBM) had the highest sensitivity (0.81) and was considered the best performing model (Table 1). Hypertension, interstitial lung disease, kidney disease, diabetes, older age, glucocorticoids, and anti-CD20 monoclonal antibodies were associated with the development of ARDS while tumor necrosis factor inhibitors were associated with a protective effect (Figure 1).

Table 1.

Performance of machine learning algorithms.

GBMSVMGLMNETNNETRFAccuracy0.790.680.660.660.67AUC0.750.700.740.580.74Sensitivity0.810.680.650.680.67Specificity0.490.600.730.480.68PPV0.960.960.970.950.97NPV0.160.120.130.090.13

GBM: Gradient Boosting Machine, SVM: Support vector machines, GLMNET: Lasso and Elastic-Net Regularized Generalized Linear Models, NNET: Neural Networks, RF: Random Forest. AUC: Area Under Curve; PPV: Positive Predictive Value; NPV: Negative Predictive Value.

Conclusion:

In this global cohort of patients with rheumatic disease, a machine learning model, GBM, predicted the onset of ARDS with 81% sensitivity using baseline information obtained at the time of COVID-19 diagnosis. These results identify patients who may be at higher risk of severe COVID-19 outcomes. Further studies are necessary to validate the proposed prediction model in external cohorts and to evaluate its clinical utility. Disclaimer: The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance, and do not necessarily represent the views of the ACR, NIH, (UK) NHS, NIHR, or the department of Health.

References:

[1]Tzotzos SJ, Fischer B, Fischer H, Zeitlinger M. 2020;24(1):516.

[2]Wu C, Chen X, Cai Y, et al. JAMA Intern Med. 2020;180(7):934-943.

Acknowledgements:

The COVID-19 Global Rheumatology Alliance.

Disclosure of Interests:

Zara Izadi: None declared, Milena Gianfrancesco: None declared, Kimme Hyrich Speakers bureau: Abbvie and grant income from BMS, UCB, and Pfizer, all unrelated to this study., Anja Strangfeld Speakers bureau: AbbVie, MSD, Roche, BMS, Pfizer, outside the submitted work., Grant/research support from: A consortium of 13 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB) supporting the German RABBIT register., Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB., Grant/research support from: Lilly, Mylan, Pfizer, all unrelated to this study., Loreto Carmona Consultant of: Loreto Carmona’s institute works by contract for laboratories among other institutions, such as Abbvie Spain, Eisai, Gebro Pharma, Merck Sharp & Dohme España, S.A., Novartis, Farmaceutica, Pfizer, Roche Farma, Sanofi Aventis, Astellas Pharma, Actelion Pharmaceuticals España, Grünenthal GmbH, and UCB Pharma., Elsa Mateus Grant/research support from: LPCDR received grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA and Pfizer., Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Lindsay Jacobsohn: None declared, Patti Katz: None declared, Samar Al Emadi: None declared, Leanna Wise: None declared, Emily Gilbert: None declared, Maria Valenzuela-Almada: None declared, Ali Duarte-Garcia: None declared, Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum unrelated to this work., Grant/research support from: Amgen and Bristol-Myers Squibb., Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Suleman Bhana Employee of: Suleman Bhana reports non-branded marketing campaigns for Novartis (<$10,000)., Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones and travel assistance from Pfizer (all < $10,000)., Jonathan Hausmann Consultant of: Novartis, unrelated to this work (<$10,000)., Jean Liew Grant/research support from: Pfizer, outside the submitted work., Emily Sirotich Grant/research support from: Emily Sirotich is a Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer-based organization whose activities are largely supported by independent grants from pharmaceutical companies., Paul Sufka: None declared, Zachary Wallace Consultant of: Viela Bio and MedPace, outside the submitted work., Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi., Pedro Machado Speakers bureau: Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Philip Robinson Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB and travel assistance from Roche (all < $10,000)., Jinoos Yazdany Consultant of: Eli Lilly and Astra Zeneca, unrelated to this project.

POS1183 OUTCOMES OF COVID-19 INFECTION AMONG CHILDREN AND YOUNG PEOPLE WITH PRE-EXISTING RHEUMATIC AND MUSCULOSKELETAL DISEASES

Background:

It remains unknown whether children and young people with rheumatic and musculoskeletal diseases (RMD) who acquire COVID-19 infection have a more severe COVID-19 course, due to either underlying disease or immunosuppressive treatments.

Objectives:

To describe outcomes among children and young people with underlying RMD who acquire COVID-19 infection.

Methods:

All children and young people <18 years of age with COVID-19 (presumptive or confirmed) reported to the EULAR COVID-19 Database, which collects details regarding RMD diagnosis and treatment, COVID infection and outcomes, between 27 March 2020 and 29 January 2021 (cutoff date for this analysis) were included. Patient characteristics and COVID-19 outcomes are presented.

Results:

A total of 151 children and young people (age range 2-17 years; Table 1) have been reported to the database from 12 countries; mostly Spain (N=30), France (N=29), Israel (N=29), and Czechia (N=25). Most patients had a diagnosis of juvenile idiopathic arthritis (JIA; N=92; 61%). Other diagnoses were autoinflammatory syndrome (including TRAPS, CAPS, FMF; 12%), and systemic lupus erythematosus (4%). There were 14 (9%) hospitalisations and 1 (0.7%) death reported due to COVID-19. The most commonly reported symptoms were fever (46%), cough (34%), anosmia (19%), and headache (19%). Only 19 (13%) patients reported glucocorticoid use. DMARD therapy was used by 104 (69%) patients; 67 (44%) were on csDMARDs (methotrexate [N=54], antimalarials [N=7]), 45 (30%) on anti-TNF, 9 (6%) on IL-6 inhibitors, and 7 (5%) on IL-1 inhibitors. Among the 145 patients with hospitalisation data, patients on any DMARD therapy (cs/b/tsDMARDs) had similar odds for hospitalisation compared with those not on therapy, adjusted for age (odds ratio 0.7; 95% CI 0.2, 2.4).

All PatientsN151GenderFemale94 (62%)Male56 (37%)Unknown1 (<1%)Age, yearsMedian (IQR)12 (8, 15)Range2 to 17Top Rheumatology DiagnosesJuvenile Idiopathic Arthritis (JIA)92 (61%)Polyarthritis50 (33%)Oligoarthritis31 (21%)Systemic11 (7%)Autoinflammatory syndrome (e.g.18 (12%)TRAPS, CAPS, FMF)6 (4%)Systemic Lupus ErythematosusComorbiditiesNone stated112 (74%)Obesity9 (6%)Ocular inflammationAsthma9 (6%)3 (2%)Required HospitalisationYes14 (9%)No131 (87%)Missing6 (4%)Top 5 Symptoms ReportedFever69 (46%)Cough51 (34%)Anosmia28 (19%)Headache28 (19%)Fatigue23 (15%)Deaths due to COVID-19Yes1 (<1%)Treatment at onset of COVID-19 infectionGlucocorticoids19 (13%)csDMARDs67 (44%)Methotrexate54 (36%)Antimalarials7 (5%)Mycophenolate5 (3%)bDMARDs64 (42%)Anti-TNF45 (30%)IL-69 (6%)IL-18 (5%)Any DMARD104 (69%)

Conclusion:

These initial data on outcomes of COVID-19 in paediatric RMDs are very reassuring, with less than 1 in 10 patients reporting hospitalisation. Due to the database design and inherent reporting bias, this is likely an overestimate, suggesting that overall outcomes among this population appear to be generally good, with mild infection. Increasing case reports to the database will allow further exploration of drug- and disease-specific outcomes.

Disclosure of Interests:

None declared.

POS0952 RESPONSIVENESS OF SPINAL MOBILITY MEASUREMENTS IN AXIAL SPONDYLOARTHRITIS USING CONVENTIONAL AND ADVANCED METROLOGY: A PILOT STUDY

Background:

Spinal mobility is an important outcome in axial spondyloarthritis (axSpA). Standardized metrology tests have been defined and validated. Nevertheless, conventional metrology measures lack responsiveness, particularly in the context of assessing short term response to treatments. Advanced metrology devices have also been used in axSpA, namely optical motion capture systems (MoCap) and Inertial Measurement Systems (IMU). These systems have better psychometric properties in terms of accuracy and reliability for analysing spinal mobility.

Objectives:

To compare the responsiveness of spinal mobility using conventional and advanced metrology.

Methods:

Spinal mobility was measured using an IMU based system (ViMove©) with sensors located at: occiput and T3 for cervical mobility, L1 and sacrum for lumbar mobility, and T3 and sacrum for thoracic+lumbar mobility. A MoCap system (UCOTrack©) using 13 markers was also used to record the movements in 3 planes (flexion+extension, rotation, and lateral flexion). The UCOASMI [1] index was calculated using measures obtained by MoCap and by the IMU system. Other metrology indexes based on IMU measures developed by the authors [2} were also calculated. Patients were assessed before (PRE) and 3 months after (POST) TNF blocker treatment. The Wilcoxon signed-rank test was used to test differences between pairs of pre- and post-treatment. Cohen’s d was use for calculating the effect size of improvement.

Results:

12 axSpA patients were recruited from the CASTRO cohort (42% female, age 46±11 years, disease duration 16±13 years). Results PRE and POST are shown in Table 1: means (sd), statistical significance, and effect size. Disease activity and functional indexes were lower in POST and these differences were significant, especially in ASDAS. Conventional metrology lacked responsiveness, except for cervical rotation. MoCap showed moderate responsiveness in cervical rotation, in thoracolumbar mobility and with regards to the UCOASMI. Using IMU measures, responsiveness was good in terms of cervical flexion and rotation. For Lumbar (L_) and Lumbar Thoracic (LT_), lateral flexion shown significant improvement and lumbar rotation shown the best responsiveness.

PREPOSTSignESPREPOSTSignESActivityIMUBASDAI6.5 (1.6)4.9 (2.7)*0.64C_FLEX77 (22)83 (19)*-0.25BASFI6.5 (2.3)4.8 (3.2)*0.58C_ROT78 (25)84 (22)*-0.22ASDAS3.6 (1.0)2.5 (1.2)**0.87C_FL54 (19)54 (17)NSMetrologyL_FLEX46 (16)44 (19)NSLatFlex9.3 (4.1)10.6 (3.3)NSL_ROT21 (9)27 (9)***-0.66TWD13.2 (4.2)12.8 (3.6)*0.06L_FL32 (1)38 (10)*-0.52Schober4.7 (1.5)4.9 (1.5)NSLT_FLEX62 (28)63 (24)NSIMD89 (15)90 (15)NSLT_ROT63 (19)70 (19)NSCervRot104 (28)118 (24)**-0.51LT_FL52 (15)60 (15)**-0.51BASMI3.8 (1.3)3.4 (1.2)NSTrk_FLEX109 (28)112 (24)NSMoCapTrk_ROT98 (31)116 (21)**-0.59C_FLEX81 (22)87 (20)*-0.28Trk_FL39 (9)46 (10)**-0.7C_ROT101 (28)112 (25)***-0.38TTrk_FLEX119 (36)128 (30)NSC_FL58 (20)58 (18)NSTTrk_ROT137 (34)161 (35)**-0.67L_FLEX107 (24)114 (21)***-0.26TTrk_FL59 (15)69 (16)**-0.6L_ROT67 (21)73 (20)NSiUCOASMIL5.7 (1.5)5.0 (1.4)***0.48L_FL57 (18)65 (20)**-0.41iUCOASMILT6.0 (1.5)5.4 (1.3)**0.39UCOASMI6.1 (1.6)5.3 (1.6)**0.50iCxLPASMI3.9 (1.8)3.2 (1.5)**0.40iCxLuASMI3.2 (1.4)2.7 (1.3)***0.40

NS, not significant; *, p<0.05; **, p<0.01

Conclusion:

Conventional metrology lacks short-term responsiveness. Advanced metrology using MoCap and IMU showed, in this pilot study, better responsiveness compared to conventional measures. Furthermore, IMU provide a feasibility similar to conventional metrology, and could be easily implemented in the context of clinical trials and observational studies.

References:

[1]Validation of a new objective index to measure spinal mobility: the University of Cordoba Ankylosing Spondylitis Metrology Index (UCOASMI). Rheumatol Int. 2014 Mar;34(3):401-6.

[2]Validity and Reliability of a Sensor-Based Electronic Spinal Mobility Index for Axial Spondyloarthritis. Rheumatology (Oxford). 2020 Apr 28;keaa122.

Disclosure of Interests:

None declared

OP0006 ASSOCIATIONS OF BASELINE USE OF BIOLOGIC OR TARGETED SYNTHETIC DMARDS WITH COVID-19 SEVERITY IN RHEUMATOID ARTHRITIS: RESULTS FROM THE COVID-19 GLOBAL RHEUMATOLOGY ALLIANCE

Background:

Targeted DMARDs may dampen the inflammatory response in COVID-19, perhaps leading to a less severe clinical course. However, some DMARD targets may impair viral immune defenses. Due to sample size limitations, previous studies of DMARD use and COVID-19 outcomes have combined several heterogeneous rheumatic diseases and medications, investigating a single outcome (e.g., hospitalization).

Objectives:

To investigate the associations of baseline use of biologic or targeted synthetic (b/ts) DMARDs with a range of poor COVID-19 outcomes in rheumatoid arthritis (RA).

Methods:

We analyzed voluntarily reported cases of COVID-19 in patients with rheumatic diseases in the COVID-19 Global Rheumatology Alliance physician registry (March 12, 2020 - January 6, 2021). We investigated RA treated with b/tsDMARD at the clinical onset of COVID-19 (baseline): abatacept (ABA), rituximab (RTX), Janus kinase inhibitors (JAK), interleukin-6 inhibitors (IL6i), or tumor necrosis factor inhibitors (TNFi). The outcome was an ordinal scale (1-4) for COVID-19 severity: 1) no hospitalization, 2) hospitalization without oxygen need, 3) hospitalization with any oxygen need or ventilation, or 4) death. Baseline covariates including age, sex, smoking, obesity, comorbidities (e.g., cardiovascular disease, cancer, interstitial lung disease [ILD]), concomitant non-biologic DMARD use, glucocorticoid use/dose, RA disease activity, country, and calendar time were used to estimate propensity scores (PS) for b/tsDMARD. The primary analysis used PS matching to compare each drug class to TNFi. Ordinal logistic regression estimated ORs for the COVID-19 severity outcome. In a sensitivity analysis, we used traditional multivariable ordinal logistic regression adjusting for covariates without matching.

Results:

Of the 1,673 patients with RA on b/tsDMARDs at the onset of COVID-19, (mean age 56.7 years, 79.6% female) there were n=154 on ABA, n=224 on RTX, n=306 on JAK, n=180 on IL6i, and n=809 on TNFi. Overall, 498 (34.3%) were hospitalized and 112 (6.7%) died. Among all patients, 353 (25.3%) were ever smokers, 197 (11.8%) were obese, 462 (27.6%) were on glucocorticoids, 1,002 (59.8%) were on concomitant DMARDs, and 299 (21.7%) had moderate/high RA disease activity. RTX users were more likely than TNFi users to have ILD (11.6% vs. 1.7%) and history of cancer (7.1% vs. 2.0%); JAK users were more likely than TNFi users to be obese (17.3% vs. 9.0%). After propensity score matching, RTX was strongly associated with greater odds of having a worse outcome compared to TNFi (OR 3.80, 95% CI 2.47, 5.85; Figure). Among RTX users, 42 (18.8%) died compared to 27 (3.3%) of TNFi users (Table). JAK use was also associated with greater odds of having a worse COVID-19 severity (OR 1.52, 95%CI 1.02, 2.28). ABA or IL6i use were not associated with COVID-19 severity compared to TNFi. Results were similar in the sensitivity analysis and after excluding cancer or ILD.

Table 1.

Frequencies for the ordinal COVID-19 severity outcome for patients with RA on biologic or targeted synthetic DMARDs (n=1673).

COVID-19 outcomes by severity scale (n,%)ABAn=154RTXn=224JAKn=306IL6in=180TNFi n=8091)Not hospitalized113 (73.3%)121 (54.0%)220 (71.9%)150 (83.3%)666 (82.3%)2)Hospitalization without oxygenation10 (6.5%)14 (6.2%)11 (3.6%)9 (5.0%)53 (6.5%)3)Hospitalization with any oxygenation or ventilation16 (10.4%)47 (21.0%)52 (17.0%)16 (8.9%)63 (7.8%)4)Death15 (9.7%)42 (18.8%)23 (7.5%)5 (2.8%)27 (3.3%)

Conclusion:

In this large global registry of patients with RA and COVID-19, baseline use of RTX or JAK was associated with worse severity of COVID-19 compared to TNFi use. The very elevated odds for poor COVID-19 outcomes in RTX users highlights the urgent need for risk-mitigation strategies, such as the optimal timing of vaccination. The novel association of JAK with poor COVID-19 outcomes requires replication.

Acknowledgements:

The views expressed here are those of the authors and participating members of the COVID-19 Global Rheumatology Alliance and do not necessarily represent the views of the ACR, EULAR, the UK National Health Service, the National Institute for Health Research, the UK Department of Health, or any other organization.

Disclosure of Interests:

Jeffrey Sparks Consultant of: Bristol-Myers Squibb, Gilead, Inova, Janssen, and Optum, unrelated to this work, Grant/research support from: Amgen and Bristol-Myers Squibb, unrelated to this work, Zachary Wallace Consultant of: Viela Bio and MedPace, outside the submitted work., Grant/research support from: Bristol-Myers Squibb and Principia/Sanofi, Andrea Seet: None declared, Milena Gianfrancesco: None declared, Zara Izadi: None declared, Kimme Hyrich Speakers bureau: Abbvie unrelated to this study, Grant/research support from: BMS, UCB, and Pfizer, all unrelated to this study, Anja Strangfeld Paid instructor for: AbbVie, MSD, Roche, BMS, Pfizer, outside the submitted work, Grant/research support from: grants from a consortium of 13 companies (among them AbbVie, BMS, Celltrion, Fresenius Kabi, Lilly, Mylan, Hexal, MSD, Pfizer, Roche, Samsung, Sanofi-Aventis, and UCB) supporting the German RABBIT register, outside the submitted work, Laure Gossec Consultant of: Abbvie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Sanofi-Aventis, UCB, unrelated to this study, Grant/research support from: Lilly, Mylan, Pfizer, all unrelated to this study, Loreto Carmona: None declared, Elsa Mateus Grant/research support from: grants from Abbvie, Novartis, Janssen-Cilag, Lilly Portugal, Sanofi, Grünenthal S.A., MSD, Celgene, Medac, Pharmakern, GAfPA; grants and non-financial support from Pfizer, outside the submitted work, Saskia Lawson-Tovey: None declared, Laura Trupin: None declared, Stephanie Rush: None declared, Gabriela Schmajuk: None declared, Patti Katz: None declared, Lindsay Jacobsohn: None declared, Samar Al Emadi: None declared, Leanna Wise: None declared, Emily Gilbert: None declared, Ali Duarte-Garcia: None declared, Maria Valenzuela-Almada: None declared, Tiffany Hsu: None declared, Kristin D’Silva: None declared, Naomi Serling-Boyd: None declared, Philippe Dieudé Consultant of: Boerhinger Ingelheim, Bristol-Myers Squibb, Lilly, Sanofi, Pfizer, Chugai, Roche, Janssen unrelated to this work, Grant/research support from: Bristol-Myers Squibb, Chugaii, Pfizer, unrelated to this work, Elena Nikiphorou: None declared, Vanessa Kronzer: None declared, Namrata Singh: None declared, Manuel F. Ugarte-Gil Grant/research support from: Janssen and Pfizer, Beth Wallace: None declared, Akpabio Akpabio: None declared, Ranjeny Thomas: None declared, Suleman Bhana Consultant of: AbbVie, Horizon, Novartis, and Pfizer (all <$10,000) unrelated to this work, Wendy Costello: None declared, Rebecca Grainger Speakers bureau: Abbvie, Janssen, Novartis, Pfizer, Cornerstones, Jonathan Hausmann Consultant of: Novartis, Sobi, Biogen, all unrelated to this work (<$10,000), Jean Liew Grant/research support from: Yes, I have received research funding from Pfizer outside the submitted work., Emily Sirotich Grant/research support from: Board Member of the Canadian Arthritis Patient Alliance, a patient run, volunteer based organization whose activities are largely supported by independent grants from pharmaceutical companies, Paul Sufka: None declared, Philip Robinson Speakers bureau: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Consultant of: Abbvie, Eli Lilly, Janssen, Novartis, Pfizer and UCB (all < $10,000), Pedro Machado Speakers bureau: Yes, I have received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Consultant of: Yes, I have received consulting/speaker’s fees from Abbvie, BMS, Celgene, Eli Lilly, Janssen, MSD, Novartis, Pfizer, Roche and UCB, all unrelated to this study (all < $10,000)., Jinoos Yazdany Consultant of: Eli Lilly and AstraZeneca unrelated to this project

Effects of tafenoquine against active, dormant and resistant Mycobacterium tuberculosis

Antimalarial drugs have been suggested as promising scaffolds with anti-tubercular activities. In this work, we demonstrated, for the first time, the effectiveness of tafenoquine against mycobacteria. Firstly, tafenoquine inhibited the growth of Mycobacterium smegmatis and Mycobacterium tuberculosis with lower MICs values as compared to other antimalarial drugs, such as mefloquine, chloroquine, and primaquine. Importantly, tafenoquine was active against three multi-drug resistant strains of M. tuberculosis with MIC values similar to pan-sensitive strains, suggesting that tafenoquine is capable of evading the major mechanisms of resistance found in drug-resistant clinical isolates of M. tuberculosis. Importantly, tafenoquine displayed a synergistic effect when combined with mefloquine. In addition, tafenoquine displayed an improved activity compared to the groups treated with both isoniazid and rifampicin in the six-week nutrient starved M. tuberculosis cultures. This finding suggests that further investigations of tafenoquine against dormant mycobacteria are worth pursuing. Moreover, different concentrations of tafenoquine ranging from 1.25 to 80 μM displayed different effects against M. tuberculosis, from moderate (reduction of a 1.8 log CFU/mL) to potent bactericidal (reduction of a 4.2 log CFU/mL) activities. Tafenoquine may represent a hit for further drug optimization and for future clinical development as a new anti-mycobacterial agent, especially in cases of resistant and/or dormant forms of tuberculosis.

Prospects for beyond the Standard Model physics searches at the Deep Underground Neutrino Experiment: DUNE Collaboration

The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.

Ultrasound-Assisted Synthesis of 4-Alkoxy-2-methylquinolines: An Efficient Method toward Antitubercular Drug Candidates

Tuberculosis (TB) has been described as a global health crisis since the second half of the 1990s. Mycobacterium tuberculosis (Mtb), the etiologic agent of TB in humans, is a very successful pathogen, being the main cause of death in the population among infectious agents. In 2019, it was estimated that around 10 million individuals were contaminated by this bacillus and about 1.2 million succumbed to the disease. In recent years, our research group has reported the design and synthesis of quinoline derivatives as drug candidates for the treatment of TB. These compounds have demonstrated potent and selective growth inhibition of drug-susceptible and drug-resistant Mtb strains. Herein, a new synthetic approach was established providing efficient and rapid access (15 min) to a series of 4-alkoxy-6-methoxy-2-methylquinolines using ultrasound energy. The new synthetic protocol provides a simple procedure utilizing an open vessel system that affords the target products at satisfactory yields (45–84%) and elevated purities (≥95%). The methodology allows the evaluation of a larger number of molecules in assays against the bacillus, facilitating the determination of the structure–activity relationship with a reduced environmental cost.

Design, Synthesis and Antitubercular Activity of 2-(Benzylthio)-1H-benzo[d]imidazoles

Using molecular simplification and molecular hybridization approaches, a series of 2-(benzylthio)-1H-benzo[d]imidazoles was synthesized and evaluated as in vitro inhibitors of Mycobacterium tuberculosis (M. tuberculosis) growth. Compounds 6p and 6z were considered the lead compounds from this series of molecules, with minimal inhibitory concentration (MIC) values of 6.9 and 3.8 μM against M. tuberculosis H37Rv, respectively. Additionally, the leading compounds were active against multidrug-resistant strains and were devoid of apparent toxicity to Vero and HepG2 cells, from 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) and neutral red assays. Finally, the compounds presented good aqueous solubility and high plasma stability. These data together indicate that this class of molecules may furnish new anti-tuberculosis drug candidates for future development.

Handling the Hurdles on the Way to Anti-tuberculosis Drug Development

The global epidemic of tuberculosis (TB) imposes a sustained epidemiologic vigilance and investments in research by governments. Mycobacterium tuberculosis, the main causative agent of TB in human beings, is a very successful pathogen, being the main cause of death in the population among infectious agents. In 2018, ~10 million individuals were contaminated with this bacillus and became ill with TB, and about 1.2 million succumbed to the disease. Most of the success of the M. tuberculosis to linger in the population comes from its ability to persist in an asymptomatic latent state into the host and, in fact, the majority of the individuals are unaware of being contaminated. Even though TB is a treatable disease and is curable in most cases, the treatment is lengthy and laborious. In addition, the rise of resistance to first-line anti-TB drugs elicits a response from TB research groups to discover new chemical entities, preferably with novel mechanisms of action. The pathway to find a new TB drug, however, is arduous and has many barriers that are difficult to overcome. Fortunately, several approaches are available today to be pursued by scientists interested in anti-TB drug development, which goes from massively testing chemical compounds against mycobacteria, to discovering new molecular targets by genetic manipulation. This review presents some difficulties found along the TB drug development process and illustrates different approaches that might be used to try to identify new molecules or targets that are able to impair M. tuberculosis survival.

Therapeutic effect of uridine phosphorylase 1 (UPP1) inhibitor on liver fibrosis in vitro and in vivo

Potassium 5-cyano-4-methyl-6-oxo-1,6-dihydropyridine-2-olate (CPBMF65) is a potent inhibitor of the uridine phosphorylase 1 (UPP1) enzyme. Its non-ionized analog has already demonstrated biological properties by reducing adverse effects caused by the chemotherapeutic 5-fluorouracil (5-FU). In addition, it has been demonstrated that uridine inhibits inflammation and fibrosis in bleomycin lung injury, decreasing collagen production. The purpose of this study was to investigate the in vitro and in vivo effects of CPBMF65 on activated hepatic stellate cells (HSC) and on carbon tetrachloride-induced liver fibrosis in mice. After incubation with CPBMF65, decreased cell proliferation and phenotype reversion were observed in vitro. In addition, CPBMF65 promoted a protective effect on tetrachloride-induced liver fibrosis in mice, demonstrated by its antifibrotic and anti-inflammatory actions. The results of the present study indicate that the UPP1 inhibitor (CPBMF65) may have potential as a novel therapeutic agent for the treatment of liver fibrosis.

Anti-tubercular profile of new selenium-menadione conjugates against Mycobacterium tuberculosis H37Rv (ATCC 27294) strain and multidrug-resistant clinical isolates

Tuberculosis (TB) is one of the most fatal diseases and is responsible for the infection of millions of people around the world. Most recently, scientific frontiers have been engaged to develop new drugs that can overcome drug-resistant TB. Following this direction, using a designed scaffold based on the combination of two separate pharmacophoric groups, a series of menadione-derived selenoesters was developed with good yields. All products were evaluated for their in vitro activity against Mycobacterium tuberculosis H37Rv and attractive results were observed, especially for the compounds 8a, 8c and 8f (MICs 2.1, 8.0 and 8.1 μM, respectively). In addition, 8a, 8c and 8f demonstrated potent in vitro activity against multidrug-resistant clinical isolates (CDCT-16 and CDCT-27) with promising MIC values ranging from 0.8 to 3.1 μM. Importantly, compounds 8a and 8c were found to be non-toxic against the Vero cell line. The SI value of 8a (>23.8) was found to be comparable to that of isoniazid (>22.7), which suggests the possibility of carrying out advanced studies on this derivative. Therefore, these menadione-derived selenoesters obtained as hybrid compounds represent promising new anti-tubercular agents to overcome TB multidrug resistance.

•

New menadione-derived selenoesters were synthesized.

•

The compounds demonstrated excellent activity against M. tuberculosis H37Rv.

•

8a, 8c and 8f showed potent activity against multidrug resistant clinical isolates.

•

Compounds 8a and 8c were found to be non-toxic.

•

These organoselenium compounds represent promising new anti-tubercular agents.

OP0060 MACHINE LEARNING BASED BERLIN SCORING OF MAGNETIC RESONANCE IMAGES OF THE SPINE IN PATIENTS WITH ANKYLOSING SPONDYLITIS FROM THE MEASURE 1 STUDY

Background:

Magnetic resonance imaging (MRI) offers a non-invasive and objective method of early diagnosis and classification, monitoring disease burden and treatment response for patients (pts) with axial spondyloarthritis (axSpA) including ankylosing spondylitis (AS).1Numerous scoring schemes such as the AS Spine MRI Activity (ASspiMRIa) score are available for the quantitative assessment of MRI, but are subject to intra- and inter-rater variability, labor intensive and costly. Nevertheless, quantification of MRI changes has become an important tool to demonstrate treatment success of biologic drugs in axSpA.

Objectives:

To evaluate the performance of machine learning (ML) based software for automated Berlin grading of spinal MRI bone marrow oedema in pts with AS and compare with expert scoring.

Methods:

Fully automated ML software (Figure) was developed to detect and label 23 vertebrae, define vertebral units (VU) as per the Berlin modification of the ASspiMRIa score, and score each VU as either 0 (score of 0) or 1 (score of 1, 2 or 3). The ML algorithm was based on the previously developed SpineNet software.2Analysis included 108 pts from the secukinumab MEASURE 1 study3, in which imaging was done using T1 and STIR sagittal MRI at baseline and Weeks 16, 52, 104, 156 and 208. Two expert readers, blinded to treatment and visit, evaluated all images by ASspiMRIa score. The scores from Reader 2 (R2) were binned into two groups: 0 vs 1, 2, or 3. As a result of multiple pt time points and expert reading sessions, the complete dataset comprised of 10,988 VU. Ten-way cross-validation at per-VU was used to train and validate the ML software. The dataset was split into 10 randomly selected subsets, ensuring that each pt appears in only one subset, after which 8 subsets were used for training the ML software, 1 was used to check for correct training and 1 was used for validation. The process was repeated ten times such that all 10 subsets were used for validation. Accuracy weighted for the frequency of each category, sensitivity and specificity were calculated using scores from R2 as reference. Intra-reader accuracy was also calculated.

Results:

Accuracy of the software in relation to expert reader scores was 67% with a sensitivity of 0.63 and specificity of 0.70. The intra-reader accuracy was 71% and 77% for R1 and R2, respectively. Individual VU scoring of the Software vs. R2 are presented in the Table as a confusion matrix.

Conclusion:

Automated scoring of MR images in AS pts provided moderate agreement to that of expert reader-based assessments. ML software has potential to provide an automated guided-reading approach to scoring MR images, which may enable further clinical insights.

References:

[1]Lukas C, et al. J Rheumatol. 2007;34:862-70.

[2]Jamaludin A, et al. Eur Spine J. 2017;26:1374-83.

[3]Baeten D, et al. N Engl J Med. 2015;373,2534-48.

Figure.

Processing pipeline of automated Berlin scoring software

Table.

Confusion matrix between the software and R2

SoftwareScore = 0SoftwareScore = 1, 2 or 3Total VU scoredR2 Score = 07199 (70%)3068 (30%)10,267R2 Score = 1, 2 or 3251 (35%)475 (65%)7267,4503,54310,993

Percentages calculated as a fraction over the total in each row. Overall accuracy is the average of the highlighted percentages.

Disclosure of Interests:

Amir Jamaludin: None declared, Rhydian Windsor: None declared, Sarim Ather: None declared, Timor Kadir: None declared, Andrew Zisserman: None declared, Juergen Braun Grant/research support from: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, Eli Lilly and Company, Medac, MSD (Schering Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi- Aventis, and UCB Pharma, Consultant of: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Eli Lilly and Company, Medac, MSD (Schering-Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi-Aventis, and UCB Pharma, Speakers bureau: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Eli Lilly and Company, Medac, MSD (Schering-Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi-Aventis, and UCB Pharma, Lianne S. Gensler Grant/research support from: Pfizer, Novartis, UCB, Consultant of: AbbVie, Eli Lilly, GSK, Novartis, UCB, Pedro Machado Consultant of: Abbvie, Celgene, Janssen, Lilly, MSD, BMS, Novartis, Pfizer, Roche and UCB, Speakers bureau: AbbVie, Centocor, Eli Lilly, Janssen, MSD, Novartis, Pfizer and UCB Pharma, Mikkel Ǿstergaard Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Merck, and Novartis, Consultant of: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Boehringer Ingelheim, Celgene, Eli Lilly, Hospira, Janssen, Merck, Novartis, Novo Nordisk, Orion, Pfizer, Regeneron, Roche, Sandoz, Sanofi, and UCB, Denis Poddubnyy Grant/research support from: AbbVie, MSD, Novartis, and Pfizer, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, MSD, Novartis, Pfizer, Roche, UCB, Speakers bureau: AbbVie, Bristol-Myers Squibb, Eli Lilly, MSD, Novartis, Pfizer, Roche, UCB, Thibaud Coroller Shareholder of: Novartis, Employee of: Novartis, Brian Porter Shareholder of: Novartis, Employee of: Novartis, Shephard Mpofu Shareholder of: Novartis, Employee of: Novartis, Aimee Readie Shareholder of: Novartis, Employee of: Novartis