AB0759 Efficacy of secukinumab in patients with non-radiographic axial spondyloarthritis: analysis by symptom duration and age

Background

Patients (pts) with axial spondyloarthritis (axSpA) often experience delayed diagnosis, which can lead to treatment delay1. However, earlier diagnosis and treatment of axSpA pts can lead to a greater clinical response2. Secukinumab (SEC) 150 mg has demonstrated sustained improvement in signs and symptoms over 2 years in non-radiographic (nr)-axSpA pts3.

Objectives

To assess the efficacy of SEC in pts with nr-axSpA [tumour necrosis factor (TNF) naïve] by subgroups of younger versus (vs) older pts and early vs late symptom duration of back pain.

Methods

PREVENT (NCT02696031) is a phase 3, randomised study in pts with nr-axSpA and detailed study design is reported previously4. In this post hoc analysis, efficacy outcomes including Assessment of SpondyloArthritis international Society 40 (ASAS40), ASAS partial remission (ASAS PR), Ankylosing Spondylitis Disease Activity Score-C-reactive protein (ASDAS-CRP) inactive disease (ID) and low disease activity (LDA), Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), and the proportion of pts meeting the minimal clinically important difference criteria for total back pain (improvement of ≥50%) were assessed in the TNF naïve population. Age categories included 4 approximately equally distributed age groups (18 to 33, 34 to 42, 43 to 51 and ≥52 years). The categories for time since onset of back pain as a surrogate of disease symptoms and sign, was based on patients’ distribution and the hypothesis that patients with shorter disease duration will present better results (≤2, >2 to 5, >5 to 10 and >10 years). Missing responses were imputed as non-response up to Week (Wk) 16 and reported as observed at Wks 52 and 104. Data is presented here for categories 18-33 vs ≥52 years and patients with symptom duration ≤2 vs >10 years.

Results

At Wk 104, greater improvements in ASAS40 scores were reported in younger (18-33 years) vs older age categories (>52 years) treated with SEC and also in patients with shorter disease duration (≤2 years) when compared to long term disease (Figure 1 and Table 1).

Table 1.

Efficacy responses with SEC up to Week 104 based on age and symptom duration

Age 18-33 yearsAge >52 years≤2 years of back pain>10 years of back painSEC 150 mg LD (N=61)SEC 150 mg NL (N=59)PBO (N=61)SEC 150 mg LD (N=25)SEC 150 mg NL (N=33)PBO (N=28)SEC 150mg LD (N=51)SEC 150 mg NL (N=33)PBO (N=47)SEC 150 mg LD (N=50)SEC 150 mg NL (N=46)PBO (N=49)ASDAS-CRP ID and LDA50.8*55.9*34.4*36.0*39.4*21.4*51.0*48.5*40.4*44.0*30.4*26.5*77.4#81.1#72.2#45.8#46.7#33.3#77.3#60.0#77.3#53.3#48.7#37.2#71.7†70.2†77.6†50.0†57.1†60.9†74.4†69.2†82.1†55.3†53.3†53.8†BASDAI 5045.9*47.5*27.9*28.0*36.4*17.9*45.1*51.5*29.8*34.0*23.9*20.4*77.8#71.7#72.2#37.5#53.3#37.0#75.6#60.0#75.0#46.7#46.2#43.2#73.5†72.3†77.6†47.6†60.9†52.2†78.0†65.4†76.9†53.8†53.1†51.3†ASAS PR29.5*32.2*8.2*12.0*12.1*7.1*27.5*24.2*8.5*18.0*10.9*12.2*41.5#50.9#38.9#12.5#20.0#22.2#45.5#40.0#38.6#22.2#23.1#20.5#46.9†44.7†59.2†23.8†31.8†21.7†56.1†34.6†46.2†25.6†25.8†23.1†Total back pain50.8*50.8*27.9*24.0*30.3*32.1*51.0*48.5*36.2*32.0*23.9*32.7*74.1#75.5#72.2#58.3#46.7#44.4#73.3#63.3#72.7#53.3#48.7#47.7#71.4†68.1†79.6†61.9†52.2†52.2†75.6†69.2†74.4†61.5†50.0†59.0†

Data is presented as % of responders. Symbols are used to denote the Weeks. *Week 16; #Week 52; †Week 104

. All patients received open-label SEC 150 mg treatment after Week 52 up to Week 104

. ASDAS-CRP ID and LDA (ASDAS-CRP <2.1); Total back pain improvement ≥50%

. LD, loading dose; NL, without loading; PBO, placebo

Conclusion

Efficacy responses were numerically higher with SEC in patients with nr-axSpA with shorter symptom duration and in younger age. These data suggest that earlier treatment improves patient outcomes in nr-axSpA.

References

[1]Lapane KL, et al. BMC Fam Pract. 2021;22(1):251

[2]Poddubnyy D, Sieper J. Curr Rheumatol Rep. 2020;22(9):47

[3]Poddubnyy D, et al. Ann Rheum Dis. 2021;80 (suppl1):707

[4]Deodhar A et al. Arthritis Rheumatol. 2021;73(1):110-120

Disclosure of Interests

Atul Deodhar Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Celgene, Eli Lilly, Galapagos, Glaxo Smith & Kline, Janssen, Novartis, Pfizer, UCB, Grant/research support from: AbbVie, Eli Lilly, Glaxo Smith & Kline, Novartis, Pfizer, UCB, Denis Poddubnyy Speakers bureau: AbbVie, BMS, Lilly, MSD, Novartis, Pfizer, UCB, Roche, Consultant of: AbbVie, BMS, Eli Lilly, MSD, Novartis, Pfizer, UCB, Roche, Grant/research support from: AbbVie, MSD, Novartis, Pfizer, Ricardo Blanco Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, UCB pharma, MSD and Lilly, Consultant of: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, UCB pharma and MSD, Grant/research support from: AbbVie, MSD, and Roche, Stephen Hall Speakers bureau: Novartis, Merck, Janssen, Pfizer, Eli Lilly, and UCB, Consultant of: Novartis, Merck, Janssen, Pfizer, Eli Lilly, and UCB, Grant/research support from: AbbVie, UCB, Janssen, and Merck, Marina Magrey Consultant of: Eli Lily, Novartis, Grant/research support from: AbbVie, UCB and Amgen, Erhard Quebe-Fehling Shareholder of: Shareholder of Novartis, Employee of: Novartis, Renato Calheiros Shareholder of: Shareholder of Novartis, Employee of: Novartis, Patricia Pertel Shareholder of: Shareholder of Novartis, Employee of: Novartis, Helena Marzo-Ortega Speakers bureau: AbbVie, Biogen, Celgene, Janssen, Lilly, Novartis, Pfizer, Takeda and UCB, Consultant of: AbbVie, Celgene, Janssen, Moonlake, Lilly, Novartis, Pfizer and UCB, Grant/research support from: Janssen, Novartis and UCB

Adjunctive therapeutic strategies in Obsessive-Compulsive Disorder resistant to serotonin reuptake inhibitors: a literature review

Introduction

Obsessive-Compulsive Disorder (OCD) is a common mental disorder and a major cause of disability worldwide. Typically, it has a chronic course, marked by recurrent intrusive thoughts (obsessions) and repetitive behaviors (compulsions). Its pharmacological first line of treatment has been well established for several years now, with the Serotonin Reuptake Inhibitors (SRIs). However, about half of the patients are resistant to this approach, representing a therapeutic challenge for clinicians. Evidence suggests that other medications can augment SRIs, enhancing its effects and achieving a bigger efficacy in these patients’ treatment. Also, there is an increasing interest in neurosurgical interventions in these patients.

Objectives

The main goal of this work was to assess the clinical efficacy of adjunctive therapeutic strategies in patients with OCD resistant to SRIs.

Methods

A literature review was conducted searching PubMed and ScienceDirect databases from the 1st of January 2000 to the 1st of September 2021 to identify clinical trials comparing an active drug/neurosurgical intervention with placebo as an adjunctive therapeutic strategy in SRI-resistant OCD.

Results

Sixteen studies were selected for data extraction, including a total of 585 patients. Risperidone, aripiprazole, N-acetylcysteine, lamotrigine, pindolol, riluzole, memantine and methylphenidate were efficacious for augmenting SRIs in OCD. Ablative surgery (ABL) and deep brain stimulation (DBS) were equal effective in the treatment of refractory OCD.

Conclusions

Several therapeutic options presented as potentially effective in OCD when it is resistant to SRIs, although this is still an area for further research.

Disclosure

No significant relationships.

POS0693 IMPACT OF UPADACITINIB VERSUS ABATACEPT ON INDIVIDUAL DISEASE OUTCOMES IN PATIENTS WITH RHEUMATOID ARTHRITIS AND INADEQUATE RESPONSES TO BIOLOGIC DMARDS

Background

The phase 3 SELECT-CHOICE trial of patients with rheumatoid arthritis (RA) and prior inadequate response to biologic DMARD(s) (bDMARD-IR) demonstrated superiority of the JAK inhibitor upadacitinib (UPA) vs abatacept (ABA) in the mean change from baseline (BL) in DAS28(CRP) and in the proportion achieving DAS28(CRP) <2.6 at week (wk) 12, with higher incidence of serious adverse events reported in the UPA treatment group.

Objectives

To evaluate the impact of UPA vs ABA on individual components of composite measures of disease activity in SELECT-CHOICE.

Methods

In SELECT-CHOICE, a double-blind phase 3 trial, bDMARD-IR patients were randomly assigned to UPA 15 mg once daily or ABA, each with background conventional synthetic DMARDs, for 24 wks. For this post hoc analysis, the proportions of patients achieving improvement from BL through wk 24 in ACR core variables (including SJC, TJC, Patient Global Assessment [PtGA], Physician Global Assessment [PhGA], pain, HAQ-DI, and hsCRP) and Boolean remission criteria were evaluated. Differences in the cumulative distributions of CDAI, DAS28(hsCRP), SDAI, and ACR-n (the lowest of percent change in TJC, percent change in SJC, or median of the other 5 ACR components) were determined using the Kolmogorov-Smirnov test and are reported as observed. For all other variables, non-responder imputation was applied for missing data. Nominal P values are provided throughout.

Results

A total of 616 bDMARD-IR patients with moderate to severe RA were randomized in SELECT-CHOICE (UPA 15 mg, n=303; ABA, n=309). BL demographic and disease characteristics were generally comparable between treatment groups, with a mean disease duration of approximately 12 years and mean CDAI of 39.6. At wk 12, more patients receiving UPA vs ABA achieved ≥50% improvements from BL in TJC68, PtGA, and hsCRP, with comparable proportions observed between UPA and ABA for the remaining ACR components (Figure 1). At wk 24, similar proportions of patients receiving UPA and ABA achieved ≥50% improvements in all but the hsCRP component. Overall, 15% and 26% of patients on UPA compared with 6% and 15% on ABA demonstrated ≥50% improvements across all ACR components at wks 12 and 24, respectively. At wks 12 and 24, Boolean remission was achieved by 6% and 14% of patients on UPA vs 2% and 10% of patients on ABA, respectively; the proportion of patients in both treatment groups achieving the individual Boolean components were also reported (Table 1). While comparable at BL, cumulative distributions of CDAI, SDAI, DAS28(hsCRP), and ACR-n were improved on UPA vs ABA at wk 12 (all nominal P <0.05); differences persisted for most measures at wk 24.

Table 1.

Proportions of Patients Achieving Boolean Remission and Its Components at Week 12 and 24 (NRI)

Week 12Week 24n (%)UPA 15 mgABAUPA 15 mgABA(N=303)(N=309)(N=303)(N=309)Boolean Remission19 (6)***5 (2)42 (14)*30 (10) PtGA ≤1054 (18)***29 (9)80 (26)*66 (21) TJC ≤189 (29)***64 (21)134 (44)*115 (37) SJC ≤1127 (42)**106 (34)169 (56)*152 (49) hsCRP ≤1 mg/dL257 (85)***209 (68)244 (81)***199 (64)

Nominal ***P <.001, **P <.01, *P <.05 for UPA vs ABA. ABA, abatacept; PtGA, Patient’s Global Assessment of disease severity; UPA, upadacitinib.

Conclusion

In this post hoc analysis of bDMARD-IR RA patients, improvements in components of disease measures were reported for both UPA and ABA through 24 weeks, with numeric differences noted for several components. Nominally higher attainment of Boolean remission and its components were observed for UPA over ABA.

References

[1]Rubbert-Roth A, et al. N Engl J Med 2020; 383:1511-21.

Acknowledgements

AbbVie and the authors thank the patients, study sites, and investigators who participated in these clinical trials. AbbVie funded these studies and participated in the study design, research, analysis, data collection, interpretation of data, reviewing, and approval of the publication. All authors had access to relevant data and participated in the drafting, review, and approval of this publication. No honoraria or payments were made for authorship. Medical writing support was provided by Matthew Eckwahl, PhD, of AbbVie.

Disclosure of Interests

Ronald van Vollenhoven Speakers bureau: AbbVie, Galapagos, GSK, Janssen, Pfizer, R-Pharma, UCB, Consultant of: AbbVie, AstraZeneca, Biogen, BMS, Galapagos, Janssen, Miltenyi, Pfizer, UCB, Grant/research support from: Research: BMS, GSK, UCB; Educational programs: MSD, Pfizer, Roche, Andrea Rubbert-Roth Speakers bureau: AbbVie, Pfizer, Sanofi, UCB, BMS, Lilly, Gilead, Roche, Consultant of: AbbVie, Gilead, Lilly, BMS, Sanofi, R-Pharm, Stephen Hall Consultant of: AbbVie, BMS, Lilly, Janssen, Pfizer, UCB, Novartis, Grant/research support from: AbbVie, BMS, Lilly, Janssen, Pfizer, UCB, Novartis, Ricardo Xavier Consultant of: AbbVie, Amgen, BMS, Lilly, Janssen, Novartis, Pfizer, UCB, Anna Shmagel Shareholder of: AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: AbbVie, Employee of: AbbVie, Vibeke Strand Consultant of: AbbVie, Amgen, Arena, AstraZeneca, Bayer, BMS, Boehringer Ingelheim, Chemocentryx, BMS, Celltrion, Lilly, Genentech/Roche, Gilead, GlaxoSmithKline, Ichnos, Inmedix, Janssen, Kiniksa, Lilly, Merck, Myriad Genetics, Novartis, Pfizer, Regeneron Pharmaceuticals, Rheos, R-Pharma, Samsung, Sandoz, Sanofi, Scipher, Setpoint, Sorrento, Spherix, UCB

Identifying a therapeutic target for vancomycin against staphylococci in young infants

OBJECTIVES

To determine the therapeutic target of vancomycin in young infants with staphylococcal infections.

METHODS

Retrospective data were collected for infants aged 0 to 90 days with CoNS or MRSA bacteraemia over a 4 year period at the Royal Children's Hospital Melbourne, Australia. Vancomycin broth microdilution MICs were determined. A published pharmacokinetic model was externally validated using the study dataset and a time-to-event (TTE) pharmacodynamic model developed to link the AUC of vancomycin with the event being the first negative blood culture. Simulations were performed to determine the trough vancomycin concentration that correlates with a 90% PTA of the target AUC24.

RESULTS

Thirty infants, 28 with CoNS and 2 with MRSA bacteraemia, who had 165 vancomycin concentrations determined were included. The vancomycin broth microdilution MIC was determined for 24 CoNS and 1 MRSA isolate, both with a median MIC of 1 mg/L (CoNS range = 0.5-4.0). An AUC0-24 target of ≥300 mg/L·h or AUC24-48 of ≥424 mg/L·h. increased the chance of bacteriological cure by 7.8- and 7.3-fold, respectively. However, AUC0-24 performed best in the pharmacokinetic-pharmacodynamic model. This correlates with 24 to 48 h trough concentrations of >15-18 mg/L and >10-15 mg/L for 6- and 12-hourly dosing, respectively, and can be used to guide vancomycin therapy in this population.

CONCLUSIONS

An AUC0-24 ≥300 mg/L·h or AUC24-48 ≥424 mg/L·h was associated with an increase in bacteriological cure in young infants with staphylococcal bloodstream infections.

An atrioventricular septal defect with an Ebsteinoid right atrioventricular valve

Funding Acknowledgements

Type of funding sources: None.

The combination of an atrioventricular septal defect (AVSD) with an Ebsteinoid atrioventricular valve is incredibly rare with only a handful of cases being described in the literature (1, 2). In this poster we describe the diagnosis of this anatomy in a neonate born at our centre.

The baby was antenatally diagnosed with a chromosome 8p23.1 microdeletion which is associated with congenital heart disease and developmental delay (3). Although fetal echo had revealed a high suspicion of congenital heart disease, maternal BMI had prevented a precise diagnosis. The baby was born in good condition at thirty-nine weeks gestation weighing 2.4kg. She had been admitted to the neonatal unit where she was self-ventilating in room air with saturations above 90%. The echocardiogram was performed at one hour of age.

The initial echo revealed a normal atrial arrangement with the heart in the left chest and the apex pointing to the left. There was normal pulmonary and systemic venous drainage. There was a complete AVSD with sizeable atrial and ventricular components. The left atrioventricular valve was dysplastic with at least moderate regurgitation. The right atrioventricular valve was displaced caudally and rotated into the right ventricular outflow tract. The right atrioventricular valve was also regurgitant. The right ventricle above the displaced atrioventricular valve was atrialized with the true right ventricle limited to the outlet portion. The great arteries were normally related. The ventricular component of the AVSD opened into the sub-pulmonary area along with two smaller muscular ventricular septal defects.

These findings raised many clinical concerns including the insufficiency of the right ventricle to support a biventricular repair. Similarly, the severe left atrioventricular valve regurgitation precluded single ventricle palliative surgical techniques. After discussion between the multidisciplinary team and a second opinion sought from another centre, the family was counselled that this was a complex and life limiting form of congenital heart disease. Although surgical options were discussed with the family, the family opted for comfort care and the baby passed away at three weeks of age.

Image 1: A complete AVSD with an Ebsteinoid right atrioventricular valve displaced caudally (a) resulting in an atrialized right ventricle (b). In addition, the left atrioventricular valve which straddles the ventricular septum is severely dysplastic (c) and regurgitant (d). Abstract Figure. Image 1: An Ebsteinoid AVSD

Early medical abortion by telemedicine in the United Kingdom: a costing analysis

OBJECTIVE

To determine the potential cost savings resulting from the introduction of routine early medical abortion (EMA) at home by telemedicine in the UK.

DESIGN

A costing study.

SETTING

The UK.

POPULATION

Women in 2020 undergoing EMA provided by three independent abortion providers and two National Health Service (NHS) abortion clinics.

METHODS

Computation of the costs of each abortion procedure and of managing failed or incomplete abortion and haemorrhage requiring blood transfusion.

MAIN OUTCOME MEASURES

Cost savings.

RESULTS

Overall estimated cost savings are £15.80 per abortion undertaken by independent abortion providers, representing a saving to the NHS of over £3 million per year. Limited data from NHS services resulted in an estimated average saving of £188.84 per abortion.

CONCLUSIONS

Were telemedicine EMA to become routine, an increase in the number of women eligible for medical rather than surgical abortion, and a reduction in adverse events resulting from earlier abortion, could result in significant cost savings.

TWEETABLE ABSTRACT

Early medical abortion at home using telemedicine could save the NHS £3 million per year.

Characterizing and Comparing Emissions of Dust, Respirable Crystalline Silica, and Volatile Organic Compounds from Natural and Artificial Stones

The frequency of cases of accelerated silicosis associated with exposure to dust from processing artificial stones is rapidly increasing globally. Artificial stones are increasingly popular materials, commonly used to fabricate kitchen and bathroom worktops. Artificial stones can contain very high levels of crystalline silica, hence cutting and polishing them without adequate exposure controls represents a significant health risk. The aim of this research was to determine any differences in the emission profiles of dust generated from artificial and natural stones when cutting and polishing. For artificial stones containing resins, the nature of the volatile organic compounds (VOCs) emitted during processing was also investigated. A selection of stones (two natural, two artificial containing resin, and one artificial sintered) were cut and polished inside a large dust tunnel to characterize the emissions produced. The inhalable, thoracic, and respirable mass concentrations of emissions were measured gravimetrically and the amount of crystalline silica in different size fractions was determined by X-ray diffraction. Emissions were viewed using scanning electron microscopy and the particle size distribution was measured using a wide range aerosol spectrometer. VOCs emitted when cutting resin-artificial stones were also sampled. The mass of dust emitted when cutting stones was higher than that emitted when polishing. For each process, the mass of dust generated was similar whether the stone was artificial or natural. The percentage of crystalline silica in bulk stone is likely to be a reasonable, or conservative, estimate of that in stone dust generated by cutting or polishing. Larger particles were produced when cutting compared with when polishing. For each process, normalized particle size distributions were similar whether the stone was artificial or natural. VOCs were released when cutting resin-artificial stones. The higher the level of silica in the bulk material, the higher the level of silica in any dust emissions produced when processing the stone. When working with new stones containing higher levels of silica, existing control measures may need to be adapted and improved in order to achieve adequate control.

POS0222 PREDICTORS OF RESPONSE: BASELINE CHARACTERISTICS AND EARLY TREATMENT RESPONSES ASSOCIATED WITH ACHIEVEMENT OF REMISSION AND LOW DISEASE ACTIVITY AMONG UPADACITINIB-TREATED PATIENTS WITH RHEUMATOID ARTHRITIS

Background:

Upadacitinib (UPA) 15 mg once daily (QD) has demonstrated efficacy in phase 3 studies of patients with rheumatoid arthritis (RA).1–4 Early prediction of response to treatment with UPA could help to optimize therapy.

Objectives:

To identify baseline (BL) characteristics or Week (Wk) 12 disease activity measures that may predict the achievement of remission (REM) or low disease activity (LDA) at 6 months in patients with RA receiving UPA 15 mg.

Methods:

This ad hoc analysis included patients who were randomized to UPA 15 mg QD, as monotherapy in methotrexate (MTX)-naïve patients (SELECT-EARLY) or in combination with conventional synthetic disease-modifying antirheumatic drugs (csDMARDs), in patients with an inadequate response (IR) to MTX (SELECT-COMPARE) or ≥1 tumor necrosis factor inhibitors (TNFis) (SELECT-BEYOND and SELECT-CHOICE). The association of BL characteristics (including age, disease duration, prior/concomitant treatments, C-reactive protein [CRP], seropositivity, and disease activity) and Wk 12 disease activity parameters with the achievement of Clinical Disease Activity Index (CDAI) REM (≤2.8) or LDA (≤10) at Wk 24 (or Wk 26 in SELECT-COMPARE) was assessed by concordance statistics (C-statistics), or area under the receiver operator characteristic curve. C-index values and 95% confidence intervals were calculated by fitting a univariate logistic regression model for: demographic and BL characteristics, Wk 12 disease activity measures, and change from BL at Wk 12 in disease activity measures. A multivariate logistic regression with stepwise model selection was also performed. The proportion of patients achieving Wk 24/26 CDAI REM/LDA was stratified by ≥50% improvement from BL in swollen and/or tender joint count in 66/68 joints (SJC66/TJC68).

Results:

A total of 1377 patients were included in the analysis. Across the 4 studies, CDAI REM and LDA were achieved in 11.0–28.4% and 50.0–58.6% of patients, respectively (Table 1). BL demographics and disease characteristics were weakly predictive (C-index <0.70) of Wk 24/26 CDAI REM (C-index 0.49–0.69) or LDA (C-index 0.47–0.65), with the exception of BL Health Assessment Questionnaire-Disability Index in SELECT-BEYOND, which was moderately predictive of CDAI REM (C-index 0.73). Changes from BL in disease activity measures at Wk 12 were weakly or moderately predictive of Wk 24/26 CDAI REM (Figure 1) or LDA. CDAI value at Wk 12 was strongly predictive (C-index >0.80) of Wk 24/26 CDAI REM or LDA. Disease Activity Score in 28 joints using CRP and pain at Wk 12 were strongly predictive of Wk 24/26 CDAI REM (except in SELECT-CHOICE). Physician’s global assessment at Wk 12 was the only common predictor in the multivariate regression models for CDAI REM/LDA at Wk 24/26 across the 4 studies. A greater proportion of patients achieving ≥50% improvement in SJC66 and TJC68 at Wk 12 achieved CDAI REM (16.5–37.8% vs 0–9.4%) or LDA (66.0–72.8% vs 20.9–35.7%) at Wk 24/26 than those who did not.

Table 1.

Achievement of CDAI LDA and REM at Wk 24/26a

SELECT-EARLYSELECT-COMPARESELECT-BEYONDSELECT-CHOICEPatient populationMTX-naïveMTX-IRTNFi-IRTNFi-IRTreatmentUPA 15 mg monotherapy (n=317)UPA 15 mg + MTX(n=651)UPA 15 mg + csDMARD(n=146)UPA 15 mg + csDMARD(n=263)Efficacy at Wk 24/26a, n (%)CDAI REM (≤2.8)90 (28.4)150 (23.0)16 (11.0)60 (22.8)CDAI LDA (≤10)178 (56.2)343 (52.7)73 (50.0)154 (58.6)

a Wk 26 for SELECT-COMPARE only

Conclusion:

BL characteristics did not strongly predict response to UPA, but composite disease activity scores at Wk 12 predicted Wk 24/26 REM/LDA with UPA 15 mg QD across MTX-naïve, MTX-IR, and TNFi-IR patients. ≥50% improvement in SJC/TJC at Wk 12 was also associated with Wk 24/26 REM/LDA.

References:

[1]van Vollenhoven R, et al. Arthritis Rheumatol 2020;72:1607–20; 2. Genovese MC, et al. Lancet 2018;391:2513–24; 3. Fleischmann R, et al. Arthritis Rheumatol 2019;71:1788–800; 4. Rubbert-Roth A, et al. N Engl J Med 2020;383:1511–21.

Acknowledgements:

AbbVie funded this study; contributed to its design; participated in data collection, analysis, and interpretation of the data; and participated in the writing, review, and approval of the abstract. No honoraria or payments were made for authorship. Medical writing support was provided by Laura Chalmers, PhD, of 2 the Nth (Cheshire, UK), and was funded by AbbVie.

Disclosure of Interests:

Arthur Kavanaugh Consultant of: Janssen, Grant/research support from: Janssen, Zoltán Szekanecz: None declared, Edward C. Keystone Speakers bureau: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Consultant of: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Grant/research support from: Abbott, Amgen, AstraZeneca, Biotest, Bristol-Myers Squibb, Eli Lilly, Genentech, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB, Andrea Rubbert-Roth Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Chugai, Eli Lilly, Janssen, Novartis, Pfizer, Roche, and Sanofi, Stephen Hall Grant/research support from: Pfizer, Ricardo Xavier: None declared, Joaquim Polido-Pereira: None declared, In-Ho Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Naomi Martin Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Yanna Song Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Samuel Anyanwu Shareholder of: May own stock or options in AbbVie, Employee of: AbbVie, Peter Nash Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, Janssen, MSD, Novartis, Pfizer, Roche, Sanofi, and UCB.

POS0900 SECUKINUMAB 150 MG PROVIDES SUSTAINED IMPROVEMENT IN SIGNS AND SYMPTOMS OF NON-RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS: 2-YEAR RESULTS FROM THE PREVENT STUDY

Background:

Axial spondyloarthritis (axSpA) is an inflammatory disease characterised by chronic back pain, and it comprises radiographic axSpA and non-radiographic axSpA (nr-axSpA).1 Secukinumab (SEC) 150 mg, with (LD) or without loading (NL), dose significantly improved the signs and symptoms of patients with nr-axSpA in the PREVENT (NCT02696031) study through Week 52.2

Objectives:

To report the long-term clinical efficacy and safety of secukinumab from the PREVENT study through 2 years.

Methods:

A detailed study design, key primary and secondary endpoints have been reported previously.2 In total, 555 patients fulfilling ASAS criteria for axSpA plus abnormal C-reactive protein (CRP) and/or MRI, without evidence of radiographic changes in sacroiliac (SI) joints according to modified New York Criteria for AS were randomised (1:1:1) to receive SEC 150 mg with LD, NL, or placebo (PBO) at baseline. LD patients received SEC 150 mg at Weeks 1, 2, 3, and 4, and then every 4 weeks (q4wk) starting at Week 4. NL patients received SEC 150 mg at baseline and PBO at weeks 1, 2, and 3, and then 150 mg q4wk. 90% patients were anti-tumour necrosis factor (anti-TNF) naïve, 57% had elevated CRP and 73% had evidence of SI joint inflammation on MRI. All images were assessed centrally before inclusion. All patients continued to receive open-label SEC 150 mg treatment after Week 52. Efficacy assessments through Week 104 included ASAS40 in anti-TNF-naïve patients, ASAS40, BASDAI change from baseline, BASDAI50, ASAS partial remission, and ASDAS-CRP inactive disease in the overall population. The safety analyses included all patients who received ≥1 dose of study treatment for the entire treatment period up to Week 104. Data are presented as observed.

Results:

Overall, 438 patients completed 104 weeks of study: 78.9% (146/185; LD), 77.7% (143/184; NL) and 80.1% (149/186; PBO). Efficacy results at Week 52 were sustained through Week 104 and are reported in the Table 1. The safety profile was consistent with the previous reports with no deaths reported during the entire treatment period up to Week 104.2

Conclusion:

Secukinumab 150 mg demonstrated sustained improvement in the signs and symptoms of patients with nr-axSpA through 2 years. Secukinumab was well tolerated with no new or unexpected safety signals.

References:

[1]Strand V, et al. J Clin Rheumatol. 2017; 23(7):383–91.

[2]Deodhar A, et al. Arthritis Rheumatol. 2020. Online ahead of print.

Figure 1.

ASAS40 response was maintained through Week 104 in the overall population

Table 1.

Summary of clinical efficacy (Observed data)

EndpointsWeekSEC 150 mg LD(N=185)SEC 150 mg NL(N=184)PBO-SEC 150 mg(N=186)*ASAS40 in anti-TNF-naïve patients, n/M (%)52a90/137 (65.7)95/145 (65.5)85/151 (56.3)10478/123 (63.4)83/123 (67.5)83/134 (61.9)BASDAI change from baseline, mean±SD52a−3.7±2.8−3.7±2.6−3.3±2.4104−4.1±2.6−3.9±2.6−3.7±2.5BASDAI50, n/M (%)52a90/153 (58.8)92/163 (56.4)90/161 (55.9)10488/137 (64.2)84/136 (61.8)87/142 (61.3)ASAS partial remission,n/M (%)52a46/152 (30.3)56/163 (34.4)46/161 (28.6)10451/137 (37.2)50/135 (37.0)50/142 (35.2)ASDAS CRP inactive disease, n/M (%)52a49/152 (32.2)58/163 (35.6)48/160 (30.0)10450/132 (37.9)53/133 (39.8)53/142 (37.3)

*For anti-TNF-naïve patients, N=164, LD; 166, NL; 171, PBO-SEC.

a total number of evaluable patients including open-label SEC and standard of care (SOC; 2 patients in LD, 1 patient in NL continued on SOC). After Week 52, only patients who continued to receive open-label SEC are presented.

ASAS, Assessment of SpondyloArthritis International Society; ASDAS, Ankylosing Spondylitis Disease Activity Score; BASDAI, Bath Ankylosing Spondylitis Disease Activity Index; M, number of patients with evaluation; N, total randomised patients; n, number of patients who are responders; SD, standard deviation

Disclosure of Interests:

Denis Poddubnyy Speakers bureau: AbbVie, BMS, Eli Lilly, MSD, Novartis, Pfizer, UCB, Consultant of: AbbVie, Biocad, BMS, Eli Lilly, Gilead, MSD, Novartis, Pfizer, Samsung Bioepis, UCB, Grant/research support from: AbbVie, MSD, Novartis, Pfizer, Atul Deodhar Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, and UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Eli Lilly, Gilead, GSK, Janssen, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, and UCB, Xenofon Baraliakos Speakers bureau: AbbVie, BMS, Celgene, Chugai, MSD, Novartis, Pfizer, and UCB, Consultant of: AbbVie, BMS, Celgene, Chugai, Galapagos, Gilead, MSD, Novartis, Pfizer, and UCB, Grant/research support from: AbbVie and Novartis, Ricardo Blanco Speakers bureau: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, UCB pharma and MSD and Eli Lilly, Consultant of: AbbVie, Pfizer, Roche, Bristol-Myers, Janssen, UCB pharma and MSD, Grant/research support from: AbbVie, MSD, and Roche, Eva Dokoupilova Grant/research support from: AbbVie, Affibody AB, Eli Lilly, Galapagos, Gilead, GSK, Hexal AG, MSD, Novartis, Pfizer, R-Pharm, Sanofi-Aventis, and UCB, Stephen Hall Speakers bureau: Novartis, Merck, Janssen, Pfizer, Eli Lilly, and UCB, Consultant of: Novartis, Merck, Janssen, Pfizer, Eli Lilly, and UCB, Grant/research support from: AbbVie, UCB, Janssen, and Merck, Alan Kivitz Shareholder of: Pfizer, Sanofi, Novartis, Amgen, GlaxoSmithKline, Gilead Sciences, Inc., Speakers bureau: Celgene, GlaxoSmithKline, Eli Lilly, Merck, Novartis, Pfizer, Sanofi, Genzyme, Flexion, AbbVie, UCB, Consultant of: AbbVie, Boehringer Ingelheim, Flexion, Janssen, Pfizer, Sanofi, Regeneron, SUN Pharma Advanced Research, Gilead Sciences, Inc., Marleen G.H. van de Sande Speakers bureau: Novartis, MSD, Consultant of: Abbvie, Novartis, Eli Lily, Grant/research support from: Novartis, Eli Lilly, Janssen, UCB, Anna Stefanska Shareholder of: Novartis, Employee of: Novartis, Patricia Pertel Shareholder of: Novartis, Employee of: Novartis, Hanno Richards Shareholder of: Novartis, Employee of: Novartis, Juergen Braun Speakers bureau: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Medac, MSD (Schering-Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi-Aventis and UCB pharma, Eli Lilly, Consultant of: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, EBEWE Pharma, Medac, MSD (Schering-Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi-Aventis and UCB, Eli Lilly, Grant/research support from: Abbvie (Abbott), Amgen, BMS, Boehringer, Celgene, Celltrion, Centocor, Chugai, Medac, MSD (Schering-Plough), Mundipharma, Novartis, Pfizer (Wyeth), Roche, Sanofi-Aventis and UCB, Eli Lilly

Left Ventricular Assist Device Implantation in a COVID-19 Positive Patient

Introduction

Case Report

Summary