Prehabilitation in Radiation Therapy: A Scoping Review

PURPOSE/OBJECTIVE(S)

Radiation therapy (RT) is a central component of cancer treatment with survival and long-term quality-of-life benefits across a spectrum of oncologic diagnoses. However, for certain cancers, RT has been associated with high levels of fatigue, pain, weight loss, and changes in mental health both during and post-treatment. Prehabilitation aims to optimize health prior to anti-neoplastic therapy in order to reduce complications, increase adherence to treatment, expedite posttreatment recovery, and improve long-term outcomes. Though prehabilitation has been studied in those undergoing cancer-related surgery, literature on prehabilitation in individuals undergoing RT has not been comprehensively explored. Thus, this scoping review aims to summarize the existing literature focused on prehabilitation interventions for patients receiving RT.

MATERIALS/METHODS

The PRISMA-ScR checklist for conducting scoping reviews was adopted to identify and evaluate studies investigating the efficacy of prehabilitation before and during RT for cancer over the past 21 years (10/2002-10/2022). A search of prehabilitation and RT was performed to identify studies investigating prehabilitation interventions in adult cancer patients before or during RT.

RESULTS

A total of 31 articles met inclusion criteria, yielding 4,031 total participants. Nineteen (61%) studies were randomized controlled trials with sample sizes ranging from 26-221. The most commonly studied populations were patients with head and neck cancer, followed by rectal, breast, and lung cancer. A majority (87%) of studies evaluated one prehabilitation intervention (i.e., unimodal). Targeted exercises were the most common intervention, followed by general exercises and technology/apps. Adherence/feasibility was the most common primary outcome, representing 23% of studies. All studies collected data on sex, and six (19%) studies collected data on race and/or ethnicity.

CONCLUSION

Prehabilitation interventions have been successfully implemented in samples of patients with cancer undergoing surgical treatment. Studies demonstrating the efficacy of prehabilitation in RT are evolving. Though our review identified many RCTs, they were frequently small trials with primary outcomes focused on feasibility, rather than functional status. Thus, there is a need for adequately powered, randomized controlled intervention trials to investigate the efficacy of prehabilitation in RT.

POS1445 EARLY DETECTION OF AXIAL PSORIATIC ARTHRITIS IN PATIENTS WITH PSORIASIS: A PROSPECTIVE, MULTICENTER STUDY

Background

In the absence of reliable serological and/or imaging biomarkers that can support an early diagnosis of psoriatic arthritis (PsA) in patients with psoriasis (PsO), and considering the known diagnostic delay there is a need for screening tools for detection of early PsA. While different validated screening/referral tools focusing on peripheral manifestations of PsA exist, validated referral algorithms for PsA with axial involvement (also referred to as axial PsA - axPsA) are still missing.

Objectives

In this prospective, multicenter study we applied a dermatologist-centered screening tool and a structured rheumatologic examination including magnetic resonance imaging (MRI) of sacroiliac joints (SIJs) and spine to detect axPsA in patients with psoriasis (PsO).

Methods

Patients with PsO were systematically screened by their dermatologist for eligibility for referral to a rheumatology clinic. Eligible patients were ≥ 18 years with a confirmed diagnosis of PsO who reported having chronic back pain (≥ 3 months) with onset prior to 45 years of age and who had not been treated with any biologic or targeted synthetic DMARD 12 weeks prior to screening. For those patients who qualified for referral a rheumatologic investigation including clinical, laboratory and genetic assessments as well as imaging with conventional radiography and MRI of sacroiliac joints and spine was performed. The primary outcome of the study was the proportion of patients diagnosed with axPsA among all referred PsO patients.

Results

In total 355 patients were screened at 14 dermatology sites, of whom 151 (42.5%) qualified for referral to rheumatology clinic and 100 (28.2%) were seen by a rheumatologist. The diagnosis of axPsA was confirmed in 14 patients (3/14 with both, axial and peripheral involvement) and the diagnosis of peripheral PsA (pPsA) without axial involvement was made in five patients. The ASAS classification criteria for axSpA were fulfilled in nine (64.3%) of the patients diagnosed with axPsA. All but one patient diagnosed with PsA (13/14 with axPsA and 5/5 with pPsA) fulfilled the CASPAR criteria for PsA.

Patient characteristics are presented in Table 1. All patients diagnosed with axPsA had active inflammatory and/or structural (post)inflammatory changes in the sacroiliac joints and/or spine on imaging. In five patients (35.7%), MRI changes indicative of axial involvement were found only in the spine as illustrated in Figure 1.

Table 1.

Clinical characteristics of all referred patients with PsO and suspicion of axSpA.

Patient characteristicpPsA (N=5)axPsA (N=14)No PsA (N=81)p-value1Age (years) – Mean (SD)42.8 (9.0)46.2 (13.6)45.7 (13.3)0.883Female – n (%)2 (40.0)9 (64.3)45 (55.6)0.543PASI – Mean (SD)3.3 (2.1)4.3 (4.9)4.0 (4.5)0.971Inflammatory back pain – n (%)5 (100.0)8 (57.1)36 (44.4)0.379HLA-B27 positive – n (%)04 (28.6)12 (14.8)0.204Elevated CRP (>5 mg/L) – n (%)1 (20.0)5 (35.7)11 (13.6)0.041Peripheral arthritis, current (last 7 days) – n (%)5 (100.0)3 (21.4)3 (3.7)0.012Radiographic sacroiliitis as per mNY criteria – n (%)04 (28.6)1 (1.2)<0.001Active inflammation, sacroiliac joint (MRI) – n (%)08 (57.1)0<0.001Structural (post)inflammatory changes, sacroiliac joint (MRI) – n (%)08 (57.1)0<0.001Active inflammation, spine (MRI) – n (%)013 (92.9)0<0.001Structural (post)inflammatory changes, spine (MRI) – n (%)08 (57.1)0<0.001

1Statistically significant differences between the axPsA and No PsA groups of patients were determined by using Mann–Whitney U test for continuous data and Chi-square test for categorical data

Figure 1.

Imaging features of axial involvement in PsO patients diagnosed with axPsA

Conclusion

Our study revealed that applying a dermatologist-centered screening tool may be useful for the early detection of patients with a high probability of PsA (and specifically axPsA) in PsO patients. Given the high prevalence of isolated spinal involvement (without SIJs), imaging of the entire axial skeleton may be required as a part of diagnostic procedure in patients with suspected axPsA.

Acknowledgements

Caroline Höppner, Rebecca Bolce, David Sandoval, Hagen Russ, Burkhard Muche, Judith Rademacher, Hildrun Haibel, Laura Spiller and all cooperating dermatologists.

Disclosure of Interests

Fabian Proft: None declared, Susanne Lüders: None declared, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Gustavo Luna: None declared, Valeria Rios Rodriguez: None declared, Mikhail Protopopov: None declared, Katharina Meier: None declared, Georgios Kokolakis: None declared, Kamran Ghoreschi: None declared, Denis Poddubnyy: None declared

POS0984 PREVALENCE OF axSpA IN PATIENTS TREATED FOR CHRONIC BACK PAIN IN CHIROPRACTIC CLINICS: THE OREGON CHIROPRACTIC AXIAL SPONDYLOARTHRITIS STUDY (ORCAS) – AN INTERIM ANALYSIS

Background

Non-rheumatology settings such as chiropractor clinics, where chronic back pain (CBP; including chronic back, buttock, or hip pain) patients are first seen, lack consistency in referral of patients to rheumatologists where the underlying cause may be axial spondyloarthritis (axSpA).

Objectives

Primary objective was to estimate the prevalence of axSpA in CBP patients attending four chiropractic clinics in Portland, Oregon, referred to a rheumatology clinic using a referral strategy identifying features of spondyloarthritis (SpA).

Methods

Adults attending one of four chiropractor clinics between Nov 2020 and Nov 2021 for CBP starting before age of 45, without prior diagnosis of SpA were eligible for inclusion. Patients were referred to rheumatologist for diagnostic assessment via phone consultation, if they had inflammatory back pain (IBP) and/or ≥1 of the following features: a family history of SpA, inflammatory bowel disease (IBD), psoriasis, good response to non-steroidal anti-inflammatory drugs, history of heel pain, uveitis, or joint swelling. The subsequent rheumatology assessment included history, C-reactive protein, HLA-B27, x-ray and MRI of the sacroiliac joints. Based on the assessment, patients were categorized as radiographic axSpA, non-radiographic axSpA, peripheral SpA, or no SpA. Endpoints were summarized using descriptive statistics.

Results

A total of 3,103 visits were recorded at four chiropractic offices between Nov 2020 and Nov 2021. Top ten chief complaints are presented in Figure 1. In total, 115 patients were referred by the chiropractors and 84 patients were confirmed to be eligible. Of the 74 patients who provided consent, 59 (79.7%) had IBP, and 66 (89.2%) had at least one clinical SpA feature. At interim data lock, 63 patients were fully assessed by a rheumatologist, of which 7 (11.1%) were HLA-B27 positive and 24 (38.1%) had rheumatologist-evaluated IBP. Eight (12.7%) patients had SpA, 6 (9.5%) were diagnosed as axSpA and fulfilled Assessment of Spondyloarthritis International Society (ASAS) classification criteria, 1 (1.6%) patient was diagnosed as psoriatic arthritis without imaging evidence of axial involvement and fulfilled Classification Criteria for Psoriatic Arthritis, and 1 (1.6%) had undifferentiated peripheral SpA and fulfilled ASAS Classification Criteria.

Figure 1.

Chief complaints reported by patients at chiropractor visits (n=3103)

Conclusion

More than 10% of patients attending chiropractic clinics for musculoskeletal complaints had undiagnosed SpA conditions, with axSpA being the most common. Educational efforts targeted at chiropractors to suspect and refer appropriate cases to rheumatologists are needed.

Table 1.

Demographic and clinical characteristics stratified by diagnosis as confirmed by Rheumatologist

Radiographic axSpA (N = 1)Non-radiographic axSpA (N = 5)Peripheral SpA Including PsA (N= 2)No SpA (N = 55)Age, years (Mean; SD)73 (-)36.8 (6.4)46 (1.4)45.1 (12.1)Sex, Female – n (%)04 (80.0)2 (100)32 (58.2)Family history of spondyloarthritis, Yes – n (%)01 (20.0)1 (50.0)9 (16.4)Chronic back pain duration, years (Mean; SD)49 (-)12.4 (6.0)11 (7.0)15 (10.8)Confirmed during rheumatology visit – n (%) IBP* (4 out of 5 criteria as checked by patient)1 (100)3 (60.0)1 (50.0)27 (49.1) IBP* (4 out of 5 criteria per rheumatologist’s opinion)02 (40.0)022 (40.0) History of plantar fasciitis or Achilles tendinitis04 (80.0)2 (100)14 (25.5) History of peripheral joint swelling001 (50.0)8 (14.6) Positive response to NSAIDs1 (100)1 (20.0)2 (100)21 (38.2) Psoriasis1 (100)01 (50.0)2 (3.6) Inflammatory bowel disease0001 (1.9) Uveitis0001 (1.8) HLA-B27 positive02 (40.0)1 (50.0)4 (7.3) CRP, Above 10.0 mg/L02 (40.0)1 (50.0)1 (1.8) SI Joints X-ray positive for sacroiliitis (modified New York criteria)1 (100)001 (1.8) SI Joints MRI positive for active inflammation1 (100)3 (60.0)00

*According to the Assessment of SpondyloArthritis international Society (ASAS) classification criteria for axSpA

Disclosure of Interests

Sonam Kiwalkar: None declared, Shireesh Bhalerao Consultant of: Eli Lilly and Company, Kim Phung Nguyen: None declared, Rose Quinn: None declared, Dave Perham: None declared, William Malatestinic Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Rebecca Bolce Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Theresa Hunter Employee of: Eli Lilly and Company, Pragya Khurana Consultant of: Eli Lilly and Company; ICON plc has received funding from several pharmaceutical companies involved in the marketing products for treatment of spondyloarthritis., Atul Deodhar Speakers bureau: Janssen, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Aurinia, Bristol Myers Squibb, Celgene, Eli Lilly, Glaxo Smith & Kline, Janssen, MoonLake, Novartis, Pfizer, UCB, Grant/research support from: AbbVie, Bristol Myers Squibb, Celgene, Eli Lilly, Glaxo Smith & Kline, Novartis, Pfizer, UCB

POS0228 BASELINE CHARACTERISTICS AND TREATMENT RESPONSE TO IXEKIZUMAB CATEGORISED BY SEX IN RADIOGRAPHIC AND NON-RADIOGRAPHIC AXIAL SPONDYLARTHRITIS PATIENTS THROUGH 52 WEEKS: DATA FROM 3 PHASE III, RANDOMIZED, CONTROLLED TRIALS

Background:

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease of the axial skeleton comprising two subtypes within the same spectrum: radiographic (r-axSpA) and non-radiographic (nr-axSpA). Previous studies have shown that clinical presentation and treatment response of males and females may differ1 despite similar disease burden.2 Ixekizumab (IXE), a high-affinity monoclonal antibody that selectively targets interleukin-17A, has demonstrated superior efficacy to placebo in the treatment of patients with r-axSpA (COAST-V/W [bDMARD- naïve/TNFi-experienced]) and nr-axSpA (COAST-X [bDMARD-naïve]).3

Objectives:

Assess baseline characteristics and treatment response to IXE categorised by sex in patients with r-axSpA and nr-axSpA for up to 52 weeks.

Methods:

Patients fulfilled the ASAS classification criteria for r-axSpA or nr-axSpA. Patients were randomized to receive 80 mg subcutaneous IXE every 2 weeks (Q2W) or 4 weeks (Q4W), or to placebo (PBO) [16 weeks COAST-V/W; 52 weeks COAST-X]. Baseline characteristics and treatment outcomes were assessed. Patients were categorised by sex, missing data was controlled for using non-responder imputation (NRI) and modified baseline observation carried forward (mBOCF) analysis was conducted on continuous efficacy variables.

Results:

At baseline, females were older, with significantly higher pain and fatigue scores and peripheral joint symptoms (table 1). ASAS40 response rate with IXEQ4W was achieved in 39% of males with r-axSpA by week 16, and 44% by week 52. Females achieved 16.7% at week 16, and 33.3% at week 52. In nr-axSpA, 46% of IXEQ4W males achieved ASAS40 at week 16 and 30% at week 52. 23.9% of females achieved ASAS40 at week 16, increasing to 30.4% at week 52.

Table 1.

Baseline Characteristics of Patients Categorised by Sex

Patients with r-axSpA(COAST-V/W)(n=376)Patients with nr-axSpA(COAST-X)(n=198)CharacteristicMale (n=298)Female (n=78)p valueMale (n=99)Female (n=99)p valueAge at onset (yrs), mean (SD)26.5 (8.7)30.1 (10.1)0.002*27.9 (7.7)32.0 (10.7)0.002*Symptom duration (yrs), mean (SD)16.7 (10.5)17.8 (12.2)0.4209.5 (9.2)12.3 (11.3)0.057ASDAS, mean (SD)4.0 (0.8)3.9 (0.7)0.3043.7 (0.8)3.9 (0.8)0.143BASDAI, mean (SD)7.10 (1.4)7.4 (1.5)0.1796.9 (1.4)7.4 1.4)0.013*Fatigue/tiredness (BASDAI Q1), mean (SD)7.4 (1.6)7.8 (1.5)0.036*7.0 (1.6)7.9 (1.5)<0.001*Spinal pain (BASDAI Q2), mean (SD)7.9 (1.5)8.0 (1.5)0.6827.5 (1.4)7.9 (1.5)0.029*Pain/swelling in other joints (BASDAI Q3), mean (SD)6.5 (2.1)6.9 (2.2)0.1296.6 (2.3)7.2 (1.9)0.039*Tenderness to touch/pressure (BASDAI Q4), mean (SD)6.8 (1.8)7.0 (1.9)0.3396.6 (1.9)6.8 (1.8)0.404Morning stiffness (BASDAI Q5), mean (SD)7.5 (1.6)7.7 (1.8)0.5047.3 (1.7)7.7 (1.9)0.137Morning stiffness duration (BASDAI Q6), mean (SD)6.5 (2.3)6.5 (2.8)0.9446.3 (2.3)6.6 (2.5)0.392Spinal pain at night NRS, mean (SD)7.4 (1.5)7.8 (1.7)0.033*7.0 (1.8)7.6 (1.8)0.027*BASFI, mean (SD)6.8 (1.8)7.0 (2.0)0.4666.2 (1.8)6.7 (2.1)0.108SF-36 PCS, mean (SD)30.9 (8.3)28.9 (8.2)0.07533.1 (7.7)32.1 (7.2)0.348

p-value from Fisher’s exact test analysis of variance (ANOVA) with sex as a factor for continuous data. Data includes pooled IXEQ2W and IXEQ4W.

Conclusion:

This analysis demonstrates that for the axSpA disease spectrum, females present with higher disease burden as reflected by higher scores in fatigue/tiredness, and spinal pain at night. Our findings indicate that males and females respond to IXE; however, females experience this benefit later in their treatment course, with a more prolonged attainment of peak response.

References:

[1]van der Horst-Bruinsma IE, et al. Ann Rheum Dis. 2019;78:1550-1558.

[2]Zhao SS, et al. Rheumatology. 2019;58:2025-2030.

[3]Deodhar A, et al. Lancet. 2020;395:53-64.

Figure 1.

COAST-V/W ASAS40 (ITT, NRI) Patients initially randomized to PBO in COAST-V/W switched to IXEQ2W or Q4W at week 16 by study design; PBO data are summarised up to week 16.

Acknowledgements:

Writing support was provided by Dr Geraldine Fahy, an employee of Eli Lilly and Company

Disclosure of Interests:

Irene van der Horst-Bruinsma Speakers bureau: BMS, AbbVie, Pfizer, UCB, MSD, Consultant of: Abbvie, UCB, MSD, Lilly, Novartis, Grant/research support from: MSD, Pfizer, AbbVie, Rebecca Bolce Shareholder of: Eli Lilly, Employee of: Eli Lilly, Theresa Hunter Shareholder of: Eli Lilly, Employee of: Eli Lilly, David Sandoval Shareholder of: Eli Lilly, Employee of: Eli Lilly, Danting Zhu Employee of: Eli Lilly, Vladimir J. Geneus Employee of: Eli Lilly, Jeffrey Lisse Shareholder of: Eli Lilly, Employee of: Eli Lilly, Soyi Liu Leage Shareholder of: Eli Lilly, Employee of: Eli Lilly, Marina Magrey Consultant of: Novartis, Eli Lilly, Pfizer, Abbvie, UCB and Jansen, Grant/research support from: Amgen, AbbVie, and UCB Pharma

POS0904 FACTORS ASSOCIATED WITH SWITCHING FROM ONE ANTI-TNF AGENT TO ANOTHER ANTI-TNF, OR IL17 AGENT IN PATIENT WITH ANKYLOSING SPONDYLITIS

Background:

A recent study examining Commercial Claims Insurance database found that many patients with ankylosing spondylitis (AS) do not remain on their initial TNF inhibitor two years after initiation, particularly women and those taking opioids.

Objectives:

To examine factors associated with switching from one TNF inhibitor (i)agent to either another TNFi, IL-17i or JAKi over time (at <2years and >2 years) in a longitudinal cohort of AS patients.

Methods:

Patients enrolled in the Prospective Study of Outcomes in AS (PSOAS), an observational longitudinal study of predictors of AS severity operative since 2002-2020 including over 1250 patients meeting modified New York criteria. Data collected included age, gender, ethnicity, HLA-B27 status, disease activity (BASDAI or ASDAS), erythocyte sedimentation rate (ESR), C-reactive protein (CRP), disease severity,(functional (BASFI) or radiographic (mSASSS)), comorbidities, smoking, exercise, disease duration, depression (either by self report or by the Center for Epidemiologic Studies Depression Scale (CES-D) and other medication usage (NSAIDs, including the NSAID index, nonbiologic DMARDs, opioids, anti-depressants, anxiolytics and hypnotics). Logistic regression models were built to identify clinical and sociodemographic characterstics associated with medication switching to another TNFi, IL-17i, or other biologic therapy (another TNFi, Il-17i, or JAKi) within 2 years and after 2 years of initiation).

Results:

Of those patients in PSOAS who had at least two years of follow-up, 496 were prescribed anti-TNF, 34 anti-IL-17 and 3 anti-JAK agents. According to the multinomial logistic regression analysis, patients who switched from their original TNFito another TNFi, IL-17i or JAKi within two years after initiating their original TNFi were more likely to be older, have higher baseline subjective disease activity (BASDAI), less radiographic severity by MSASSS, exercise > 120 minutes/week and less likely to be currently smoking. Patients who switched after two years were less likely be depressed, had shorter disease duration, had greater subjective disease activity, were more likely to be exercising > 120 minutes/week, and had more comorbidities.

Conclusion:

Different factors were encountered in AS patients who switched from their initial TNFi to another TNFi, IL-17i or JAKi within 2 years versus after 2 years of treatment.

Table 1.

Factors Associated With Switching From One TNFi To A Second TNFi or IL-17i or JAKi Before or After Two Years Based On Multinomial Logistic Regression Model (N=496 Patients)

VariableSwitched within 2 years vs. not switchedp-value*Switched after 2 years vs. not switchedp-value*Gender (Male vs. Female)0.99(0.637, 1.549)0.980.95 (0.528, 1.719)0.87HLA-B27_(+ vs. -)0.99 (0.639, 1.523)0.950.66 (0.365, 1.192)0.17Depression (CESD≥ 16 or self-report)(Yes vs. No)0.99 (0.676, 1.445)0.950.35 (0.182, 0.672)0.002Disease duration at baseline (≥20 vs. <20 years)0.72 (0.485, 1.062)0.100.27 (0.146, 0.491)<0.001Age at baseline (≥40 vs. <40) (years)2.00 (1.291, 3.101)0.0021.23 (0.693, 2.193)0.48CRP (≥0.8 vs. <0.8)1.94 (1.230, 3.056)0.0040.90 (0.454, 1.789)0.77BASFI (≥40 vs. <40)1.34 0.852, 2.118)0.200.87 (0.450, 1.688)0.68BASDAI (≥4 vs. <4)1.73 (1.064, 2.797)0.032.31 (1.202, 4.427)0.01NSAID index (≥50 vs. <50)1.32 (0.822, 2.128)0.250.83 (0.437, 1.586)0.58NSAIDs used (Yes vs. No)0.84 (0.534, 1.309)0.430.85 (0.479, 1.510)0.58Exercise (≥120 vs. <120) (minutes/week)1.95 (1.396, 2.731)<0.0011.66(1.057, 2.613)0.03ASDAS (≥3 vs. <3)0.78 (0.454, 1.356)0.391.07 (0.478, 2.399)0.87Number of comorbidities (≥2 vs. <2)1.40 (0.997, 1.951)0.051.63 (1.029, 2.575)0.04mSASSS (≥4, vs. <4)0.63 (0.421, 0.957)0.030.81(0.474, 1.392)0.03Current smoker (Yes vs No)0.69 (0.385, 1.225)<0.0010.79 (0.297, 2.076)0.20

*p-values calculated based on multinomial logistic regression model when switching is defined as being prescribed a second TNFi or taking IL-17i or JAKi before or after 2 years from first TNFi initiation

Disclosure of Interests:

Mark Hwang Consultant of: UCB, Novartis, Michael Weisman Consultant of: Novartis, GSK, UCB, Lilly, Lianne S. Gensler Consultant of: AbbVie, GlaxoSmithKline, Eli Lilly, Novartis, Pfizer, UCB Pharma, Amirali Tahanan: None declared, Mariko Ishimori: None declared, Theresa Hunter Employee of: Eli Lilly, Rebecca Bolce Employee of: Eli Lilly, Jeffrey Lisse Employee of: Eli Lilly, Mohammad Rahbar: None declared, Minyang Shan Employee of: Eli Lilly, John D Reveille Consultant of: UCB, Grant/research support from: Eli Lilly

POS1499-PARE PATIENT PERSPECTIVES OF BIOLOGIC TREATMENTS FOR AXIAL SPONDYLOARTHRITIS: SATISFACTION, WEAR-OFF BETWEEN DOSES, AND USE OF SUPPLEMENTAL MEDICATIONS

Background:

Biologic disease-modifying antirheumatic drug (bDMARD) therapy has been shown to be effective in the treatment of axial spondyloarthritis (axSpA).1,2 Little is understood about patients’ experience of axSpA treatment from their own perspective.

Objectives:

To characterize patient experiences and perspectives with bDMARD treatments for axSpA, including satisfaction, and use of supplementary treatments when wear-off between doses is perceived among those currently treated with bDMARD therapy.

Methods:

Adult US participants (pts) within the ArthritisPower registry with physician-diagnosed axSpA were invited to complete electronic PRO measures, such as the BASDAI (0-10 scale, score ≥4 indicates suboptimal disease control), and an online survey about their perspectives of treatment. Analysis compared pt characteristics and treatment satisfaction by whether or not pt reported wear-off between bDMARD doses.

Results:

128 pts with axSpA and on bDMARD therapy met inclusion criteria of whom 82.8% were female, with mean age of 47 years. Mean BASDAI scores indicated poor disease control (6.4, SD 1.8), worse for those perceiving wear-off between doses compared with those who did not [6.8 (1.6) vs. 5.9 (2.0), p=0.01]. A majority of pts on a bDMARD reported being somewhat (57.8%) or very satisfied (26.6%) with their current axSpA treatment, and about 53.1% were satisfied with how well it controls axSpA-related pain. However, 60.9% (n=78) of pts reported that their current bDMARD typically wears off before the next dose. Treatment satisfaction was lower for pts experiencing wear-off compared to pts without wear-off (highly satisfied: 21.8% vs. 34%; somewhat satisfied: 60.3% vs. 54%; dissatisfied: 17.9% vs. 12%). 82.1% (n=64) of pts reporting wear-off used additional medications or supplements when that happened, chiefly NSAIDs (68.8%, n=44), muscle relaxers (42.2%, n=27) and/or opioids (37.5%, n=24). Among the 20 pts not satisfied with current axSpA treatment, side effects (6/20, 30.0%), or worry about risk of side effects (2/20, 10%) were the main reasons.

Conclusion:

In a predominantly female sample of bDMARD-treated axSpA patients with high disease activity, most expressed satisfaction with treatment. However, most experienced wear-off between doses and took supplementary medications, including opioids, to manage.

References:

[1]Dubash S, et al. Ther Adv Chronic Dis. 2018;9(3):77–8.

[2]Van Der Heijde D, et al. Ann Rheum Dis. 2017;76(6):978–91.

Table 1.

Demographic and clinical characteristics by wear-off between bDMARD doses (n=128)

Pts currently on bDMARD(N=128)Wear-off between bDMARD oses(N=78)No wear-off / Not sure(N=50)p-valueNumber or mean (% or SD)Age46.9 (10.3)46.1 (9.2)48.2 (11.8)0.25Female106 (82.8)69 (88.5)37(74.0)0.03White115 (89.8)70 (89.7)45 (90.0)0.96Body Mass Index30.9 (7.8)31.2 (8.5)30.4 (6.6)0.57Current Medications, addition to bDMARDConventional Synthetic DMARD (e.g. methotrexate, sulfasalazine)17 (13.3)15 (19.2)2 (4.0)0.01Prescription NSAID59 (46.1)39 (50.0)20 (40.0)0.27Other prescription medication¥70 (54.7)44 (56.4)26 (52.0)0.62Noticed improvement in symptoms related to axSpA since starting current bDMARD80 (62.5)51 (65.4)29 (58.0)0.40Noticed improvement in symptoms NOT related to axSpA since starting current bDMARD40 (31.3)22 (28.2)18 (36.0)0.35BASDAI‡6.4 (1.8)6.8 (1.6)5.9 (2.0)0.01PROMIS Pain Interference ł65.3 (5.7)66.0 (5.1)64.3 (6.4)0.09PROMIS Physical Function ł36.7 (5.6)36.1 (5.3)37.7 (5.8)0.11PROMIS Sleep Disturbance ł59.8 (8.5)61.2 (7.7)57.6 (9.3)0.02

* Statistical significance between groups of pts who experienced wear-off between bDMARD or not, p < 0.05

¥ Other prescription medications: muscle relaxers, nerve pain medications or anti-depressants, and opioids

‡ BASDAI is scored on a 0-10 scale with score ≥4 indicating suboptimal control of disease

ł PROMIS measures use T-score metric in which 50 is mean, 10 is standard deviation (SD), of US population; higher T-score = more of concept measured

Acknowledgements:

This study was sponsored by Eli Lilly and Company. We thank the patients who participated in this study.

Disclosure of Interests:

W. Benjamin Nowell Grant/research support from: Full-time employee of Global Healthy Living Foundation, an independent nonprofit research organization, which received funding pursuant to a contract from Eli Lilly to conduct the study that is the subject of this abstract; Principal Investigator for studies with grant support from AbbVie, Amgen and Eli Lilly, Kelly Gavigan Grant/research support from: Full-time employee of Global Healthy Living Foundation, an independent nonprofit research organization, which received funding pursuant to a contract from Eli Lilly to conduct the study that is the subject of this abstract, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, William Malatestinic Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Rebecca Bolce Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jeffrey Lisse Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Carol Himelein Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jeffrey Curtis Consultant of: AbbVie, Amgen, BMS, Corrona, Eli Lilly, Janssen, Myriad, Pfizer, Roche, Regeneron, Radius, UCB, Grant/research support from: AbbVie, Amgen, BMS, Corrona, Eli Lilly, Janssen, Myriad, Pfizer, Roche, Regeneron, Radius, UCB, Jessica A. Walsh Consultant of: AbbVie, Amgen, Eli Lilly and Company, Janssen, Merck, Novartis, Pfizer, UCB, Grant/research support from: AbbVie, Merck, Pfizer

THU0396 IMPACT OF IXEKIZUMAB ON WORK PRODUCTIVITY IN PATIENTS WITH ANKYLOSING SPONDYLITIS: RESULTS FROM THE COAST-V AND COAST-W TRIALS AT 52 WEEKS

Background:

Patients with ankylosing spondylitis (AS) are burdened with decreased work productivity.1Ixekizumab (IXE), a high-affinity monoclonal antibody selectively targeting interleukin-17A, has been shown to improve disease signs and symptoms in 2 phase 3 trials assessing patients with active AS.2, 3

Objectives:

This study investigated the effect of IXE treatment for 52 weeks on work productivity and activity impairment as measured by absenteeism, presenteeism, overall work impairment, and activity impairment in patients with active AS.

Methods:

COAST-V (NCT02696785) and COAST-W (NCT02696798) were phase 3, multicenter, randomized, double-blind, placebo (PBO)-controlled (COAST-V active-controlled with adalimumab) trials investigating the efficacy of IXE every 4 weeks (Q4W) and every 2 weeks (Q2W) in 341 patients with active AS naïve to biologic disease-modifying antirheumatic drugs (bDMARDs; COAST-V) and in 316 patients who were inadequate responders or intolerant to 1 or 2 tumor necrosis factor inhibitors (TNFi; COAST-W). Patients receiving PBO were switched to IXE Q4W or Q2W at Week 16; patients receiving adalimumab (ADA) were switched to IXE Q4W or Q2W at Week 20. Data for IXE Q4W and Q2W were combined for PBO/IXE and ADA/IXE groups. Changes from baseline in work productivity were measured for those reporting full- or part-time work at Weeks 16 and 52 with the Work Productivity and Activity Impairment (WPAI) Questionnaire for Spondyloarthritis.

Results:

Compared to bDMARD-naïve patients (COAST-V), TNFi-experienced patients (COAST-W) were slightly older, had longer disease duration, reported less paid employment, and had greater scores for impaired work productivity, signifying more severe baseline disease. At Week 16, bDMARD-naïve patients treated with IXE Q4W or Q2W had significant improvements in activity impairment compared to placebo (p<0.01); TNFi-experienced patients treated with IXE Q4W or Q2W had significant improvements in presenteeism (p<0.05) and overall work impairment (p<0.05; Figure). TNFi-experienced patients treated with IXE Q2W also had significant improvement in activity impairment at Week 16 (p<0.05; Figure). Improvements were sustained through Week 52 (Figure).

Conclusion:

Both bDMARD-naïve and TNFi-experienced patients with AS receiving IXE had greater improvements in aspects of work productivity compared to placebo. Improvements were sustained through Week 52.

References:

[1]Boonen, van der Linden. (2006).J Rheumatol Suppl.78:4-11.

[2]Van der Heijde, et al. (2018)Lancet. 392(10163):2441-51.

[3]Deodhar, et al. (2019)Arthritis Rheumatol.71(4):599-611.

Disclosure of Interests:

Helena Marzo-Ortega Grant/research support from: Janssen, Novartis, Consultant of: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, UCB, Speakers bureau: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Takeda, UCB, Philip J Mease Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Janssen, Eli Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Janssen, Eli Lilly, Galapagos, Gilead, Novartis, Pfizer, Sun Pharma, UCB Pharma, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Genentech, Janssen, Novartis, Pfizer, UCB Pharma, Proton Rahman Grant/research support from: Janssen and Novartis, Consultant of: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Speakers bureau: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Victoria Navarro-Compán Consultant of: Abbvie, Lilly, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, MSD, Lilly, Novartis, Pfizer, UCB, Vibeke Strand Consultant of: AbbVie, Amgen, Biogen, Celltrion, Consortium of Rheumatology Researchers of North America, Crescendo Bioscience, Eli Lilly, Genentech/Roche, GlaxoSmithKline, Hospira, Janssen, Merck, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Sanofi, UCB, Maxime Dougados Grant/research support from: AbbVie, Eli Lilly, Merck, Novartis, Pfizer and UCB Pharma, Consultant of: AbbVie, Eli Lilly, Merck, Novartis, Pfizer and UCB Pharma, Speakers bureau: AbbVie, Eli Lilly, Merck, Novartis, Pfizer and UCB Pharma, Bernard Combe Grant/research support from: Novartis, Pfizer, Roche-Chugai, Consultant of: AbbVie; Gilead Sciences, Inc.; Janssen; Eli Lilly and Company; Pfizer; Roche-Chugai; Sanofi, Speakers bureau: Bristol-Myers Squibb; Gilead Sciences, Inc.; Eli Lilly and Company; Merck Sharp & Dohme; Pfizer; Roche-Chugai; UCB, James Cheng-Chung Wei Grant/research support from: AbbVie, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Novartis, Pfizer Inc, UCB, Consultant of: AbbVie, Bristol-Myers Squibb, Celgene, Chugai, Eisai, Janssen, Novartis, Pfizer Inc, Sanofi-Aventis, UCB Pharma, Xenofon Baraliakos Grant/research support from: Grant/research support from: AbbVie, BMS, Celgene, Chugai, Merck, Novartis, Pfizer, UCB and Werfen, Consultant of: AbbVie, BMS, Celgene, Chugai, Merck, Novartis, Pfizer, UCB and Werfen, Speakers bureau: AbbVie, BMS, Celgene, Chugai, Merck, Novartis, Pfizer, UCB and Werfen, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, David Sandoval Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Xiaoqi Li Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Baojin Zhu Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Louis Bessette Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, Roche, Sanofi, UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, Roche, Sanofi, UCB Pharma, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Janssen, Merck, Novartis, Pfizer, Sanofi, Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB

Figure.

Changes from baseline in Overall Work Impairment in A) bDMARD-naïve (COAST-V) and B) TNFi-experienced (COAST-W) patients and Activity Impairment in C) bDMARD-naïve and D) TNFi-experienced patients.

PARE0026 WHICH PATIENT-REPORTED OUTCOMES DO RHEUMATOLOGY PATIENTS FIND IMPORTANT TO TRACK DIGITALLY? A REAL-WORLD LONGITUDINAL STUDY IN ARTHRITISPOWER

Background:

Development of a standardized approach to assess key elements of disease activity in rheumatology clinical trials has been the goal of Outcome Measures in Rheumatology Clinical Trials (OMERACT), American College of Rheumatology (ACR), and European League Against Rheumatism (EULAR).1,2,3The core sets of measures developed include assessments and composite indices incorporating use of patient-reported outcomes (PROs) and clinical measures and clinicians’ assessments to quantify disease activity over time.2PROs are important indicators of disease activity and variability, and they are increasingly used to evaluate treatment effectiveness. Little is known about PROs that patients with rheumatic conditions find most important to convey their experience with their condition and its treatment.

Objectives:

To examine PROs selected by patients with rheumatic conditions in the ArthritisPower registry to identify symptoms they found most important to track digitally.

Methods:

Adult US patients within the ArthritisPower registry with rheumatoid arthritis (RA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), systemic lupus erythematosus (SLE), osteoporosis (OP), osteoarthritis (OA), and fibromyalgia syndrome (FMS) were invited via email to participate in this study. Enrolled participants (pts) were prompted to select ≤10 PRO symptom measures they felt were important to track for their condition at baseline via the ArthritisPower app. At 3 subsequent time points (Month [m] 1, m2, m3), pts were given the option to continue tracking their previously selected PRO measures or to add, remove and/or select different measures. At m3, pts completed an exit survey to prioritize ≤5 measures from all measures selected during study participation and to specify other symptoms not available that they would have wanted to track. Measures were rank-ordered based on number of pts rating the item as their 1st, 2nd, 3rd, 4th or 5th choice and weighted by multiplying the rank number by its inverse for a single, weighted summary score for each measure. Values were summed across all pts to produce a summary score for each measure.

Results:

Among pts who completed initial selection of PRO assessments at baseline (N=253), 184 pts confirmed or changed PRO selections across m1-3. Mean (SD) age of pts was 55.7 (9.2) yrs, 89.3% female, 91.3% White, mean disease duration of 11.6 (10.6) yrs. The majority (64.8%) self-reported OA, followed by RA (48.6%), FMS (40.3%), PsA (26.1%), OP (21.0%), AS (15.8%) and SLE (5.9%), not mutually exclusive, and were similar to the overall ArthritisPower population. The average number of instruments (SD) selected for baseline completion was 7.0 (2.5), 7.1 (2.4) at m1, 7.2 (2.4) at m2, and 7.0 (2.5) at m3. The top 5 PROs ranked by pts overall as most important (weighted summary score) for tracking were Fatigue (71), Physical Function (58), Pain Intensity (50), Pain Interference (49), Duration of Morning Joint Stiffness (41) (Figure 1). Fatigue, Physical Function, and Pain were consistently in the top 5 across diseases while Depression was more frequent among pts with OA, AS and FMS. Pts’ PRO selections showed stability over time except for the RA Flare measure which decreased from 70.5% of RA pts at baseline to 13.6% at m3.

Conclusion:

The symptoms prioritized by pts included fatigue, physical function, pain, and joint stiffness. Pts‘ choices were consistent over time. These findings provide insights into symptoms rheumatology patients find most important and will be useful to inform design of future patient-centric clinical trials and real-world evidence generation.

References:

[1]Boers M, et al. J Rheumatol Suppl. 1994;41:86–89.

[2]Felson DT, et al. Arthritis Rheum. 1993;36:729–740.

[3]Tugwell P, et al. J Rheumatol. 1993;20:555–556.

Disclosure of Interests:

W. Benjamin Nowell: None declared, Carol L. Kannowski Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Kelly Gavigan: None declared, Zhihong Cai Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Anabela Cardoso Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Shilpa Venkatachalam: None declared, Julie Birt Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jennifer Workman Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Corrona, Janssen, Lilly, Myriad, Pfizer, Regeneron, Roche, UCB

AB0648 COMPARING SYMPTOMS, TREATMENT PATTERNS, AND QUALITY OF LIFE OF ANKYLOSING SPONDYLITIS PATIENTS AND NON-RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS IN JAPAN

Background:

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease of the axial skeleton associated with impaired health-related quality of life (QoL) and disability.

Objectives:

To better understand the symptoms, clinical characteristics, treatment patterns, and quality of life (QoL), of non-radiographic axial spondyloarthritis (nr-axSpA) patients and how they compare to ankylosing spondylitis (AS) patients in Japan.

Methods:

Data from a cross-sectional survey conducted with physician (rheumatologists, orthopedic surgeon, and internal medicine) and their consulting patients in Japan were analyzed. Data were collected from Jun-Aug 2018 via physician-completed patient record forms and patient self-completed forms. Patients who had physician confirmed diagnoses of AS and nr-axSpA were eligible to participate. Demographics, disease status (improving, stable, unstable, deteriorating), symptoms, and medication use were reported by the physician, while work disability and QoL measures were reported by the patient using validated questionnaires. QoL and treatment patterns of nr-axSpA and AS patients were compared using parametric tests and non-parametric tests where appropriate.

Results:

Data from 41 physician, 72 AS patients, and 91 nr-axSpA patients were included in this analysis. A higher proportion of AS patients were male (70.8% vs. 58.2%; p=0.1040), yet this was not statistically significant. AS patients had a similar mean age (55.0 vs. 55.1; p=0.9762) compared to nr-axSpA patients. The majority of AS and nr-axSpA patients (61.1% vs. 62.9%; p=0.872) were not receiving a biologic. On average, AS and nr-axSpA patients reported similar rates of symptoms (Table 1). Patient reported outcomes such as the Assessment of SpondyloArthritis international Society Health Index (ASAS HI;6.0 vs. 6.4; p=0.6103), Patient Global Assessment (18.7 vs 22.7; p=0.4239), and the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI; 3.1 vs. 3.4; p=0.3453) were similar between AS and nr-axSpA patients. AS patients reported a lower EQ-5D VAS (62.6 vs. 71.3; p=0.0237) when compared to nr-axSpA patients.

Table 1.

Characteristics of AS and nr-axSpA Patients in Japan

ASN=72Nr-axSpAN=91p-valueMean age, (SD)55.0 (17.5)55.1 (16.5)0.9762Gender, males; n (%)51 (70.8%)53 (58.2%)0.1040BMI, mean (SD)23.4 (3.5)22.7 (3.1)0.1890Joint Inflammation or Stiffness; n (%)25 (34.7%)32 (35.2%)1.0000Inflammatory Back Pain; n(%)25 (34.7%)34 (37.4%)0.7456HLA-B27 positive; n (%)7 (9.7%)4 (4.4%)0.2169Alternating Buttock Pain; n (%)6 (8.3%)5 (5.5%)0.5390Dactylitis; n (%)5 (6.9%)6 (6.6%)1.0000Enthesitis; n (%)5 (6.9%)9 (9.9%)0.5825Tendonitis; n (%)0 (0.0%)2 (2.2%)0.5037Synovitis; n (%)3 (4.2%)4 (4.4%)1.0000Arthritis; n (%)15 (20.8%)26 (28.6%)0.2806Osteoporosis; n (%)8 (11.1%)13 (14.3%)0.6412Physician’s Global VAS, mean (SD)12.1 (11.2)22.6 (11.0)0.0100Patient Global VAS, mean (SD)18.7 (18.5)22.7 (11.7)0.4239EQ-5D VAS, mean (SD)62.6 (25.0)71.3 (20.2)0.0237BASDAI, mean (SD)3.1 (1.8)3.4 (2.6)0.3453ASAS HI, mean (SD)6.0 (4.3)6.4 (5.1)0.6103

Conclusion:

Nr-axSpA and AS being part of the same disease spectrum (i.e. axial spondyloarthritis) share the same clinical features. The burden of the disease, as assessed by QoL measurements, is also similar in AS and nr-axSpA patients.

Figure 1.

Medication Use among AS and nr-axSpA Patients in Japan

Disclosure of Interests:

Tetsuya Tomita Consultant of: Eli Lilly and Company, Toshihiko Aranishi Employee of: Eli Lilly Japan, Kohei Hagimori Employee of: Eli Lilly Japan, Ko Nakajo Employee of: Eli Lilly Japan, Nicola Booth Consultant of: Janssen, Elizabeth Holdsworth Employee of: Adelphi Real World, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company

THU0384 IMPACT OF IXEKIZUMAB ON WORK PRODUCTIVITY IN NON-RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS PATIENTS: RESULTS FROM THE COAST-X TRIAL AT 52 WEEKS

Background:

Patients with non-radiographic axial spondyloarthritis (nr-axSpA) experience impairments in health-related quality of life comparable to those seen in ankylosing spondylitis, including impacts on work productivity. Ixekizumab (IXE) is a high-affinity monoclonal antibody that selectively targets interleukin-17A and effectively treats axial spondyloarthritis.1,2,3

Objectives:

This analysis evaluated the effect of IXE treatment for 52 weeks on work productivity and activity impairment as measured by absenteeism, presenteeism, overall work impairment, and activity impairment in patients with active nr-axSpA.

Methods:

COAST-X (NCT02757352) was a phase 3, multicenter, randomized, double-blind, placebo-controlled, parallel-group outpatient study investigating the efficacy and safety of 80 mg IXE every 2 weeks (Q2W) and every 4 weeks (Q4W) compared to placebo (PBO) in 303 patients naïve to biologic disease-modifying anti-rheumatic drugs with active nr-axSpA during a 52-week treatment period. From Weeks 16 through 44, if patients’ disease activity required escalation of treatment at investigator discretion, patients were switched to open-label IXE Q2W or subsequent tumor necrosis factor inhibitor treatment. Analysis was performed for the intent-to-treat population, which included data up to the time of biologic switching. Patients who switched to open-label IXE were considered non-responders. Changes from baseline in work productivity were measured for patients reporting full- or part-time work at Weeks 16 and 52 with the Work Productivity and Activity Impairment (WPAI) Questionnaire for Spondyloarthritis and analyzed with an analysis of covariance model including treatment, geographic region, screening magnetic resonance imaging and C-reactive protein level status, and baseline value as factors. Missing data was imputed using the modified baseline observation carried forward.

Results:

A majority of patients (63.5–65.7%) reported part-time or full-time paid work at baseline, with baseline scores for presenteeism and overall work activity slightly higher for patients in the PBO arm (p<0.05). Patients treated with IXE Q4W had significantly greater improvement than PBO in activity impairment at Weeks 16 (p=0.003) and 52 (p=0.004), presenteeism at Weeks 16 (p=0.007) and 52 (p=0.003), and overall work impairment at Weeks 16 (p=0.014) and 52 (p=0.005; Figure). Patients treated with IXE Q2W had significantly greater improvement than PBO in activity impairment at Weeks 16 (p=0.007) and 52 (p=0.006; Figure). Patients treated with either IXE regimen had numeric improvements in all WPAI measures compared to those receiving PBO at Weeks 16 and 52 (Figure).

Conclusion:

Patients with nr-axSpA treated with either IXE regimen had significant improvements in activity impairment compared to PBO. Patients receiving IXE Q4W also had significant improvements in presenteeism and overall work impairment.

References:

[1]Sieper, et al. (2016)Clin Exp Rheumatol.34(6):975-83.

[2]Van der Heijde, et al. (2018)Lancet. 392(10163):2441-51.

[3]Deodhar, et al. (2019)Arthritis Rheumatol.71(4):599-611.

Figure.

Changes from baseline in A) Absenteeism, B) Presenteeism, C) Overall Work Impairment, and D) Activity Impairment.

Disclosure of Interests:

Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Philip J Mease Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Janssen, Eli Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Janssen, Eli Lilly, Galapagos, Gilead, Novartis, Pfizer, Sun Pharma, UCB Pharma, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Genentech, Janssen, Novartis, Pfizer, UCB Pharma, Lianne S. Gensler Grant/research support from: Pfizer, Novartis, UCB, Consultant of: AbbVie, Eli Lilly, GSK, Novartis, UCB, Proton Rahman Grant/research support from: Janssen and Novartis, Consultant of: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Speakers bureau: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Victoria Navarro-Compán Consultant of: Abbvie, Lilly, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, MSD, Lilly, Novartis, Pfizer, UCB, Helena Marzo-Ortega Grant/research support from: Janssen, Novartis, Consultant of: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, UCB, Speakers bureau: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Takeda, UCB, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, David Sandoval Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Andris Kronbergs Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Baojin Zhu Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Ann Leung: None declared, Vibeke Strand Consultant of: AbbVie, Amgen, Biogen, Celltrion, Consortium of Rheumatology Researchers of North America, Crescendo Bioscience, Eli Lilly, Genentech/Roche, GlaxoSmithKline, Hospira, Janssen, Merck, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Sanofi, UCB

FRI0277 EFFECTIVENESS OF BDMARDS IN AS AND NR-AXSPA PATIENT POPULATIONS: EXPERIENCE FROM THE CORRONA REGISTRY

Background:

Axial spondyloarthritis (axSpA) consists of ankylosing spondylitis (AS), also referred to as radiographic axSpA (r-axSpA) and non-radiographic axSpA (nr-axSpA). AxSpA can lead to reduced mobility, pain, fatigue, and impact quality of life. While bDMARDs are available for treatment, the literature lacks studies exploring their real-world effectiveness in clinical registry patients with axSpA.

Table 1.

Demographic characteristics and clinical response rates of AxSpA patients

Table 2.

TNFi drug survival rate results of early and late disease course

Objectives:

To describe patient characteristics of bDMARD initiators among the AS and nr-axSpA populations and the effectiveness of bDMARDs at the 6-month (± 3) post-initiation follow-up (FU) visit in the Corrona PsA/SpA Registry.

Methods:

This study included patients aged ≥ 18 years with AS per modified NY criteria and nr-axSpA per ASAS criteria enrolled between 3/2013 and 9/2019. Concurrently diagnosed patients with PsA were excluded. Baseline characteristics, such as demographic, clinical, disease activity, treatment, and patient-reported outcomes (PRO), were collected for those initiating a bDMARD at enrollment or during FU; response rates and mean change in disease activity and PRO between initiation and 6-month FU were calculated.

Results:

The AS (n=179) and nr-axSpA (n=32) bDMARD initiators groups were similar at initiation for mean age (AS: 49.1 yrs, nr-axSpA: 48.9 yrs), ASDAS scores (AS: 2.9, nr-axSpA: 2.8) and patient global assessment (AS: 59.6, nr-axSpA: 60.0). The two groups were different for time from disease duration (AS 8.5 yrs, nr-axSpA, 6.6 yrs), current NSAID use (AS: 64.2%, nr-axSpA: 46.9%) and naivete to cDMARDS (AS: 70.4%, nr-axSpA: 40.6%), TNFs (AS: 47.5%, nr-axSpA: 21.9%), non-TNFs (AS: 96.1%, nr-axSpA: 93.8%) and bDMARDs (AS: 46.9%, nr-axSpA: 21.9%). Patients were similarly impacted by their condition for BASDAI (AS: 5.0, nr-axSpA, 5.6), pain (AS: 55.8, nr-axSpA, 60.8) and fatigue (AS: 51.6, nr-axSpA, 59.9), but there was an imbalance in tender joint count (AS: 2.6, nr-axSpA, 13.4).

At 6-month FU, both populations experienced minimal or no change in ASDAS scores (AS: -0.3, nr-axSpA: 0.0) remaining in a high state of disease activity (ASDAS, ≥2.2). A small percent of both groups achieved ASAS20 (AS: 20.1%; nr-axSpA: 21.9%) and ASAS40 (AS: 14 %, nr-axSpA: 15.6%). Further, bDMARD initiators had minimal decreases in BASDAI (AS: -0.6, nr-axSpA: -0.8), pain (AS: -8.5, nr-axSpA: -12.2), and fatigue (AS: -5.0, nr-axSpA: -7.9) scores.

Conclusion:

AS and nr-axSpA bDMARD initiators had a modest improvement in outcomes at six months. Twenty percent or fewer patients achieved ASAS20 or ASAS40, with many having residual impairment based on ASDAS, BASDAI, pain, and fatigue outcomes at six months. While patients are initiating biologic agents, room for improvement exists as many are not achieving optimal treatment response of inactive (ASDAS, <1.3) or low disease activity (ASDAS, <2.1).

Disclosure of Interests:

Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Taylor Blachley Employee of: Corrona, LLC, William Malatestinic Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Leslie Harrold Shareholder of: Corrona, LLC – shareholder, Grant/research support from: Pfizer – grant/research support, Consultant of: AbbVie, BMS, Roche – consultant, Employee of: Corrona, LLC – employment, Blessing Dube Employee of: Corrona, LLC, Meghan Glynn Shareholder of: Corrona, LLC – shareholder, Grant/research support from: Pfizer – grant/research support, Employee of: Corrona, LLC – employment, Jeffrey Lisse Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Rebecca Bolce Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Philip J Mease Grant/research support from: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – grant/research support, Consultant of: Abbott, Amgen, Biogen Idec, BMS, Celgene Corporation, Eli Lilly, Novartis, Pfizer, Sun Pharmaceutical, UCB – consultant, Speakers bureau: Abbott, Amgen, Biogen Idec, BMS, Eli Lilly, Genentech, Janssen, Pfizer, UCB – speakers bureau

FRI0286 IXEKIZUMAB TREATMENT IMPROVES FATIGUE, SPINAL PAIN, STIFFNESS, AND SLEEP IN PATIENTS WITH NON-RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS

Background:

Common symptoms of axial spondyloarthritis (axSpA) include fatigue, spinal pain, stiffness, and sleep problems, which can impair health-related quality of life. Ixekizumab (IXE) treatment shows efficacy in active non-radiographic axSpA (nr-axSpA).1

Objectives:

To assess fatigue, spinal pain, stiffness, and sleep with IXE treatment versus (vs) placebo (PBO) in patients (pts) with active nr-axSpA up to 16 and 52 weeks (wks).

Methods:

In COAST-X, pts with active nr-axSpA were randomized to 52 wks of double-blind IXE 80 mg once every 4 wks (Q4W) or 2 wks (Q2W), or PBO. Data were collected from baseline to Wk 52.

Results:

At Wk 16, IXE Q4W significantly improved fatigue, spinal pain, and stiffness, and IXE Q2W improved spinal pain, spinal pain at night, and stiffness vs PBO (Table). At Wk 52, IXE Q4W significantly improved stiffness, and IXE Q2W improved spinal pain, spinal pain at night, and stiffness vs PBO. Numeric improvements in sleep were not significant vs PBO. Wk 1, and up to Wk 16, IXE Q4W and Q2W significantly reduced spinal pain and stiffness vs PBO; stiffness was significantly reduced vs PBO up to Wk 52 (Figure).

Least squares mean (standard error) change from BL-ITT population (mixed-effect model of repeated measures)

MeasureTimepointPBO N=105IXE Q4W N=96IXE Q2W N=102Spinal painaWk 16-1.45 (0.244)-2.35 (0.248)*-2.59 (0.244)†Wk 52-2.29 (0.350)-2.92 (0.305)-3.32 (0.304)*Spinal pain at nightaWk 16-1.71 (0.262)-2.43 (0.267)-2.79 (0.263)*Wk 52-2.25 (0.358)-3.04 (0.312)-3.58 (0.311)*BASDAI-stiffnessb,cWk 16-1.44 (0.242)-2.44 (0.246)*-2.89 (0.242)†Wk 52-1.94 (0.332)-3.15 (0.290)*-3.48 (0.289)†Fatigue severity NRSdWk 16-1.4 (0.24)-2.1 (0.24)*-1.9 (0.24)Wk 52-2.1 (0.38)-2.6 (0.32)-2.7 (0.32)Sleep disturbanceeWk 16-2.3 (0.45)-2.0 (0.45)-2.5 (0.45)Wk 52-2.9 (0.63)-3.6 (0.52)-3.6 (0.53)Pt Global Assessment of Disease ActivityfWk 16-1.30 (0.246)-2.32 (0.251)*-2.64 (0.247)†Wk 52-1.81 (0.378)-2.77 (0.320)-3.30 (0.321)*

*P<.05 vs PBO;†P≤.001 vs PBO. ITT population: all randomized pts. Pts needing rescue treatment after Wk 16 per investigator could switch to open-label IXE Q2W; observations at visits thereafter not included in analyses. BL values similar across treatments. Numerical improvements in BASDAI-fatigue not significant vs PBO.

aScored 0 (no pain) to 10 (most severe pain) on NRS

bMean score BASDAI questions 5 (intensity) and 6 (duration)

cScored 1–10 on NRS

dScored 0 (no fatigue) to 10 (as bad as you can imagine)

eJenkins Sleep Evaluation Questionnaire scored 0 to 20: each of 4 items scored 0 (0 days) to 5 (22–30 days)

fScored 0 (not active) to 10 (very active) on NRS

BASDAI=Bath Ankylosing Spondylitis Disease Activity IndexBL=baselineITT=intent-to-treatIXE=ixekizumabN=number of pts in ITT populationNRS= numeric rating scalePBO=placebopt=patientQ2W=every 2 wksQ4W=every 4 wksvs=versuswk=week

Conclusion:

IXE Q4W and/or Q2W significantly improved spinal pain, spinal pain at night, and stiffness vs PBO at 16 and 52 wks in pts with nr-axSpA. IXE Q4W also improved fatigue at 16 wks in these pts. Numerical improvements in sleep were not significant vs PBO.

References:

[1]Deodhar A, et al. Lancet. 2019

Disclosure of Interests:

Philip J Mease Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Janssen, Eli Lilly, Novartis, Pfizer, Sun Pharma, UCB Pharma, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Janssen, Eli Lilly, Galapagos, Gilead, Novartis, Pfizer, Sun Pharma, UCB Pharma, Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Genentech, Janssen, Novartis, Pfizer, UCB Pharma, Atul Deodhar Grant/research support from: AbbVie, Eli Lilly, GSK, Novartis, Pfizer, UCB, Consultant of: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, Amgen, Boehringer Ingelheim, Bristol Myer Squibb (BMS), Eli Lilly, GSK, Janssen, Novartis, Pfizer, UCB, Proton Rahman Grant/research support from: Janssen and Novartis, Consultant of: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, and Pfizer., Speakers bureau: Abbott, AbbVie, Amgen, BMS, Celgene, Lilly, Janssen, Novartis, Pfizer, Helena Marzo-Ortega Grant/research support from: Janssen, Novartis, Consultant of: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, UCB, Speakers bureau: Abbvie, Celgene, Eli Lilly, Janssen, Novartis, Pfizer, Takeda, UCB, Vibeke Strand Consultant of: AbbVie, Amgen, Biogen, Celltrion, Consortium of Rheumatology Researchers of North America, Crescendo Bioscience, Eli Lilly, Genentech/Roche, GlaxoSmithKline, Hospira, Janssen, Merck, Novartis, Pfizer, Regeneron Pharmaceuticals, Inc., Sanofi, UCB, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, David Adams Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, David Sandoval Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Andris Kronbergs Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Baojin Zhu Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Ann Leung: None declared, Soyi Liu Leage Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Victoria Navarro-Compán Consultant of: Abbvie, Lilly, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, MSD, Lilly, Novartis, Pfizer, UCB

FRI0278 IXEKIZUMAB IMPROVES SELF-REPORTED OVERALL FUNCTIONING AND HEALTH AS MEASURED BY THE ASAS HEALTH INDEX IN PATIENTS WITH NON-RADIOGRAPHIC AXIAL SPONDYLOARTHRITIS: 52-WEEK RESULTS OF A PHASE 3 RANDOMIZED, ACTIVE AND PLACEBO-CONTROLLED TRIAL (COAST-X)

Background:

Ixekizumab has demonstrated efficacy in treating signs and symptoms of patients with non-radiographic axial spondyloarthritis (nr-axSpA).1The Assessment of SpondyloArthritis International Society Health Index (ASAS HI) is a composite measure consisting of 17 dichotomous items to assess overall functioning and health in patients with spondyloarthritis.2

Objectives:

To assess health outcomes using ASAS HI in patients with nr-axSpA treated with ixekizumab (IXE) for 52 weeks.

Methods:

COAST-X (NCT02757352) was a 52-week, randomized, double-blind, placebo (PBO)-controlled study enrolling adults with an established diagnosis of axSpA (ASAS classification criteria, but not modified New York criteria for sacroiliitis), had Bath Ankylosing Spondylitis Disease Activity Index (BASDAI) score ≥4, back pain score ≥4, inflammation (sacroiliitis on magnetic resonance imaging [MRI] per ASAS criteria) or an elevated C-reactive protein [CRP] level >5 mg/L), and inadequate response or intolerance to nonsteroidal anti-inflammatory drugs. Patients were randomized 1:1:1 to receive PBO or 80 mg IXE every 4 weeks (Q4W) or every 2 weeks (Q2W). Changing background medications or switching to open-label IXE Q2W, or both, was allowed after week 16 at investigator discretion. Change from baseline in ASAS HI (score 0-17 with higher score indicating worse health) was analyzed using logistic regression analysis at Weeks 0, 4, 8, 16, 36, and 52. For the ASAS HI, the smallest detectable change was calculated as 3.0. Patients having an ASAS HI score ≤5 were defined as being in a good health state.3Comparisons between IXE treatments and PBO were made using logistic regression analysis. Non-responder imputation was used for missing data. Patients who switched to open label IXEQ2W were considered non-responders after they switched.

Results:

At baseline, ASAS HI scores were similar between the three groups (PBO 9.0 ± 3.7; IXE Q4W 8.6 ± 3.4; IXE Q2W 9.6 ± 3.4). Significantly more patients receiving IXE Q4W versus PBO achieved ASAS HI score ≤5 at Week 16 (p<0.05; Fig. A). From Week 36 to 52, significantly more patients receiving IXE Q4W and Q2W achieved ASAS HI score ≤5 (p<0.05; Fig. A). Significantly more patients receiving IXE Q2W versus PBO achieved a clinically meaningful improvement in ASAS HI score ≥3 at Week 16 (p<0.05; Fig. B). From Week 36 to 52 significantly more patients receiving IXE Q4W and Q2W achieved a clinically meaningful improvement in ASAS HI score ≥3 compared with PBO (p<0.05; Fig. B).

Figure.

Improvement in ASAS HI scores through Week 52.A: Proportion of patients who achieved an ASAS HI score ≤5 in patients with baseline ASAS HI score >5. B: Proportion of patients who achieved ≥3-point improvement in ASAS HI in patients with baseline ASAS HI score ≥3. ***p<0.001, **p<0.01, *p<0.05 versus PBO. Asterisk color indicates which IXE treatment group was compared with PBO. ASAS HI= Assessment of SpondyloArthritis International Society Health Index; IXE=ixekizumab; PBO=placebo; Q2W=every 2 weeks; Q4W=every 4 weeks

Conclusion:

Ixekizumab improves overall functioning and health in patients with nr-axSpA as assessed by ASAS HI, with significantly more patients achieving good health status.

References:

[1]Deodhar A, van der Heijde D, Gensler LS, et al.Lancet. 2020; 395(10217):53-64.

[2]Kiltz U, van der Heijde D, Boonen A, et al.Ann Rheum Dis. 2015;74(5):830-5.

[3]Kiltz U, van der Heijde D, Boonen A, et al.Ann Rheum Dis. 2018;77(9):1311-7.

Disclosure of Interests:

Uta Kiltz Grant/research support from: AbbVie, Amgen, Biogen, Novartis, Pfizer, Consultant of: AbbVie, Biocad, Eli Lilly and Company, Grünenthal, Janssen, Novartis, Pfizer, UCB, Speakers bureau: AbbVie, MSD, Novartis, Pfizer, Roche, UCB, Jessica A. Walsh Grant/research support from: AbbVie, Pfizer, Janssen, Consultant of: AbbVie, Novartis, Eli Lilly and Company, UCB, Ruben Burgos Vargas: None declared, Theresa Hunter Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Rebecca Bolce Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, David Sandoval Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Soyi Liu Leage Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Ann Leung: None declared, Xiaoqi Li Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, Emily Blue Shareholder of: Eli Lilly and Company, Employee of: Eli Lilly and Company, 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

Atomic Absorption Determination of Serum Copper: Collaborative Study

Preliminary to conducting a collaborative study on a method for copper in serum, methods used by a selected group of laboratories were surveyed. The responding laboratories were supplied with a Youden pair of bovine serum samples and requested to use their current method for serum copper. Results of the analyses and the methods used were evaluated; hypotheses were developed in our laboratory to explain some of the interlaboratory variation. For the AAS method chosen, each of 12 collaborating laboratories analyzed one blind duplicate and 2 Youden pair of serum samples. A commercially available external control serum with a certified level of copper and a 1000 mg copper/L standard were also submitted. The method requires the serum to be diluted 1 + 1 with distilled water and the standards to be diluted with 10% glycerin to approximate the viscosity of the diluted serum. The intralaboratory coefficients of variation (CV) ranged from 2.24 to 4.40% and the interlaboratory CV ranged from 2.56% to 6.05%. The method has been adopted official first action.

Breastfeeding-related social media: an online survey of UK mothers’ perceptions

Background

Breastfeeding is beneficial for both maternal and infant health, contributing to reduced risk of infections and chronic disease. Despite public health efforts, just 1% of mother-infant dyads in the UK meet international recommendations to breastfeed exclusively until six months. Numerous studies have investigated the influences on suboptimal breastfeeding rates, exposing a myriad of interconnected physiological, psychological and social barriers. Conversely, social support has been shown to be positively associated with breastfeeding duration. The objective of this study was to determine whether and how UK mothers use social media to access breastfeeding advice and support.

Methods

An online survey was developed, piloted and distributed via social media using a snowball sampling approach. Responses to closed questions were analysed using SPSS and appropriate statistical tests performed. Free-text responses were analysed manually using thematic analysis.

Results

The survey was completed by 1012 mothers, with 992 (98%) reporting use of social media for breastfeeding advice and/or support. Responses revealed a largely positive perception of breastfeeding-related social media. Supportive peer networks and easily accessible information were highlighted as unique features that help to encourage and normalise breastfeeding. Non-university educated mothers were significantly more likely to report this support as “very influential” with regard to how comfortable they felt breastfeeding in public (p = 0.006). Peer-led groups were preferentially used over professional-led groups, particularly by younger women (p = 0.007).

Conclusions

There is growing interest in social media as a health platform, particularly in light of recent funding cuts impacting on access to formal support services. By supporting mothers and normalising breastfeeding, social media may help to increase UK breastfeeding rates and reduce health inequalities.

Key messages

Many mothers successfully use breastfeeding-related social media for information and support, with a preference for peer-led as opposed to professional-led groups. Future research should explore how public health services can update their practice to better harness these platforms for breastfeeding promotion.

P2835Feasibility and safety of same day discharge after radiofrequency catheter ablation for paroxysmal atrial fibrillation

Background

Atrial fibrillation catheter ablation (CA) is the most frequent arrhythmia ablation and accounts for a significant proportion of treatment cost. Same day discharge (SDD) after paroxysmal atrial fibrillation (PAF) ablation is an attractive strategy for both patients and hospitals.

Objective

To understand the eligibility criteria and outcomes for PAF patients who can safely undergo same day discharge after radiofrequency catheter ablation.

Methods

Patients undergoing CA for PAF were evaluated for SDD at a pre-procedure visit to assess the risk of groin, respiratory, cardiac or bleeding complications. Eligibility criteria for SDD were stable anticoagulation and absence of bleeding history, systolic/diastolic heart failure, or interventional procedures within 60 days, with recommended BMI <35. Patient proximity to the hospital was also considered. Anesthesia included propofol with endotracheal intubation and all patients were ablated with a porous tip contact force catheter (STSF). Patients were on bed rest for 6 hours post-procedure, then ambulated intermittently for 1–2 hours. Discharge followed if they were stable with no evidence of vascular access complications or bleeding. A dedicated RN telephoned patients the following morning to ask a series of standard questions designed to elicit evidence of any complications.

Results

52 procedures were identified for SDD, with 7 patients declining. 45 planned SDD procedures for 43 patients occurred 4/17–6/18. Average age was 57±11 years and CHA2DS2-VASc was 1.5±1.1 at procedure. Procedure time was 69±26 min (IQR: 49 - 84 min) with maximum fluoroscopy usage of 0.2 min and 508±149 mL of fluid infused through the catheter. Two patients stayed overnight due a groin bleed and atelectasis with fever, and one chose to stay for comfort. The remaining 42 discharges occurred after 7.2±1.0 hours in recovery, with no SDD-related complications and no required return visits after the follow-up call. There were 3 AF recurrences (6.7%) as of the 10 week visit.

Conclusion

Appropriate low risk patients identified by simple clinical criteria can be safely discharged the same day after CA of PAF. Further evaluation is required for higher risk patients.

Acknowledgement/Funding

The study was funded by Biosense Webster Inc.

Decreasing spine implant costs and inter-physician cost variation

The demand for spinal surgery and its costs have both risen over the past decade. In 2008 the aggregate hospital bill for surgical care of all spinal procedures was reported to be $33.9 billion. One key driver of rising costs is spinal implants. In 2011 our institution implemented a cost containment programme for spinal implants which was designed to reduce the prices of individual spinal implants and to reduce the inter-surgeon variation in implant costs. Between February 2012 and January 2013, our spinal surgeons performed 1493 spinal procedures using implants from eight different vendors. By applying market analysis and implant cost data from the previous year, we established references prices for each individual type of spinal implant, regardless of vendor, who were required to meet these unit prices. We found that despite the complexity of spinal surgery and the initial reluctance of vendors to reduce prices, significant savings were made to the medical centre.

Cite this article: 2015; 97-B:1102–5.

Safer mobile fluoroscopy in the trauma theatre: a survey of orthopaedic registrars and theatre staff

The Ionising Radiation (Protection of Persons Undergoing Medical Examination or Treatment) Regulations 1988 (POPUMET) made it compulsory from June 1990 for all staff directing medical exposures to ionising radiation to receive formal tuition at a core knowledge course. This course described the hazards of ionising radiation and the safe use of x-ray equipment. It instructed on the nature of ionising radiation and its interaction with tissues, principles and means of dose reduction to patient and operator, the importance of using the patient’s existing radiological information and statutory responsibilities. The POPUMET course was discontinued following the Ionising Radiation (Medical Exposure) Regulations 2000 (IR(ME)R). IR(ME)R training for healthcare professionals is available as a half-day theoretical course suitable for those designated as ‘referrer’ by their employers. Other locally run ionising radiation protection courses are tailored to the varied requirements of a spectrum of healthcare professionals.

Socially induced placebo analgesia: a comparison of a pre-recorded versus live face-to-face observation

BACKGROUND

Recently, it has been shown that live, face-to-face social observation induces marked placebo analgesia. Despite the phenomenal growth of video sharing platforms, the potential analgesic effects of video-based social observation are largely unknown. This study compared video-based and live social observation induced placebo analgesia and whether there was a similar relationship between analgesic responses and empathy traits for both conditions.

METHODS

Here, we compared placebo analgesia in four groups: social observation through a video (SOV group), social observation in person (SOP group), verbal suggestion alone (VS group) and a natural history group (NH group). The SOV and SOP groups underwent a placebo treatment and painful stimuli following respectively a video-based and live observation of a demonstrator showing analgesic effects when the painful stimuli were paired to a green light but not a red light. The VS group received painful stimuli after they had been verbally instructed to expect less pain after the green light. The NH group received painful stimuli, but was told nothing about the meaning of the lights. Individual pain reports and empathy traits were measured.

RESULTS

We found that video-based observation induced substantial placebo analgesic responses that were of similar magnitude to live observation. Notably, the analgesic scores were strongly correlated with empathetic concern in the live observation group but not in the video replay group.

CONCLUSIONS

These findings add evidence that placebo analgesia can be induced by social observation and that empathy interacts with these effects in a context-dependent manner.

Identificación de una nueva mutación como causa del síndrome de Lesch-Nyhan en una familia peruana: utilidad del examen molecular para el consejo genético

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TMEM106B regulates progranulin levels and the penetrance of FTLD in GRN mutation carriers

OBJECTIVES

To determine whether TMEM106B single nucleotide polymorphisms (SNPs) are associated with frontotemporal lobar degeneration (FTLD) in patients with and without mutations in progranulin (GRN) and to determine whether TMEM106B modulates GRN expression.

METHODS

We performed a case-control study of 3 SNPs in TMEM106B in 482 patients with clinical and 80 patients with pathologic FTLD-TAR DNA-binding protein 43 without GRN mutations, 78 patients with FTLD with GRN mutations, and 822 controls. Association analysis of TMEM106B with GRN plasma levels was performed in 1,013 controls and TMEM106B and GRN mRNA expression levels were correlated in peripheral blood samples from 33 patients with FTLD and 150 controls.

RESULTS

In our complete FTLD patient cohort, nominal significance was identified for 2 TMEM106B SNPs (top SNP rs1990622, p(allelic) = 0.036). However, the most significant association with risk of FTLD was observed in the subgroup of GRN mutation carriers compared to controls (corrected p(allelic) = 0.0009), where there was a highly significant decrease in the frequency of homozygote carriers of the minor alleles of all TMEM106B SNPs (top SNP rs1990622, CC genotype frequency 2.6% vs 19.1%, corrected p(recessive) = 0.009). We further identified a significant association of TMEM106B SNPs with plasma GRN levels in controls (top SNP rs1990622, corrected p = 0.002) and in peripheral blood samples a highly significant correlation was observed between TMEM106B and GRN mRNA expression in patients with FTLD (r = -0.63, p = 7.7 × 10(-5)) and controls (r = -0.49, p = 2.2 × 10(-10)).

CONCLUSIONS

In our study, TMEM106B SNPs significantly reduced the disease penetrance in patients with GRN mutations, potentially by modulating GRN levels. These findings hold promise for the development of future protective therapies for FTLD.

Combination of bortezomib with a FLT3 inhibitor potentiates inhibition of proliferation and apoptosis of AML in vitro

e14551

Background: FLT3 receptor tyrosine kinase activating mutations contribute to leukemogenesis and poor prognosis in approximately 30% of acute myeloid leukemia (AML). An internal tandem duplication (ITD) mutation in the juxtamembrane domain of FLT3 results in loss of autoinhibition that leads to constitutive, ligand-independent activation of the receptor, with subsequent activation of multiple downstream signaling pathways, including RAS/MAPK and STAT5. Early phase clinical trials of FLT3 inhibitors show a lack of durability of responses, suggesting combination therapy may work better. Methods: In the course of conducting a synthetic lethality screen with a FLT3 inhibitor on the Ba/F3 murine cell line stably expressing human FLT3 or FLT3-ITD, we identified bortezomib, a proteasome inhibitor, as having potent activity against FLT3-ITD cells. The effects of drugs on proliferation, apoptosis, and phosphosignaling were quantified in Ba/F3 cells and in the HL60 (WT FLT3) and MV4–11 (FLT3-ITD) human cell lines, using an MTS- based colorimetric assay, caspase 3 and 7 activity assays, and immunoblotting, respectively. Results: A highly potent and specific FLT3 inhibitor was shown to have an IC50 of 1.9 nM, inhibiting proliferation, inducing apoptosis, and abrogating downstream STAT5 and ERK phosphorylation in FLT3-ITD cells. The IC50 of bortezomib for FLT3-ITD cells was 10 nM as compared to an IC50 of 40 nM for WT FLT3 cells. Surprisingly, bortezomib abrogated tyrosine phosphorylation of FLT3, STAT5, and ERK within 60 min of adding drug. When the FLT3 inhibitor and bortezomib were used at IC25 concentrations, a more pronounced inhibition of cell proliferation was observed when they were used in combination than with either alone. Conclusions: Bortezomib preferentially kills FLT3- ITD cells, showing a four-fold more potent inhibition of cell proliferation, induces apoptosis, and abrogates activation of FLT3 and its downstream effector pathways. The combination of proteasome inhibition with FLT3 inhibition results in enhanced cytotoxicity. The mechanism by which bortezomib affects the FLT3-ITD signaling axis and the possible synergy with FLT3 inhibitors remains to be elucidated.

No significant financial relationships to disclose.

Protein phosphorylation and growth control

Many growth factor receptors and retroviral transforming proteins share the property of phosphorylating proteins on tyrosine. Several substrates for both types of protein-tyrosine kinase have been identified. Treatment of quiescent cells with growth factors such as EGF and PDGF, whose receptors have ligand-stimulated protein-tyrosine kinase activities, induces tyrosine phosphorylation of three proteins, p45, p42 and p41. Two phosphorylated forms of p42 are found, the more basic of which is present in some but not all cells transformed by viral protein-tyrosine kinases. p42 is rapidly (as early as 1 min) but transiently (decreased to baseline by 2h) phosphorylated following PGDF or EGF treatment of quiescent fibroblasts. At saturating levels of mitogen the stoichiometry of p42 phosphorylation is greater than 50%. p42 is a highly conserved, rare (0.002% of total cell protein), soluble cytoplasmic protein. IGF I and insulin, whose receptors also have ligand-stimulated protein-tyrosine kinase activity, induce p42 phosphorylation in appropriate cells. In the case of insulin this effect has been observed in cells with large numbers of insulin receptors. p42 is also phosphorylated in response to mitogens whose receptors lack protein-tyrosine kinase activity, for example 12-O-tetradecanoylphorbol-13-acetate (TPA) and thrombin. For TPA there is evidence that this is an indirect effect due to the activation of a protein-serine/threonine kinase. On the basis of the highly conserved nature of this response and its generality, it seems likely that tyrosine phosphorylation of p42 is important for at least early responses to mitogens.

Phosphopeptide mapping and identification of phosphorylation sites

Protein phosphorylation is a common modification for many proteins in the cell. Phosphorylation can affect localization of a protein, its stability, and its ability to dimerize or form stable complexes with other molecules. To understand the underlying mechanisms behind the phosphorylation of a given protein, it is often necessary to precisely identify which amino acid residues are phosphorylated. This unit describes the technique of phosphopeptide mapping. In this procedure, a radiolabeled protein is proteolytically digested, and the resulting phosphopeptides are separated in two dimensions on a TLC plate. The phosphopeptides are also analyzed by HPLC and mass spectrometry or peptide microsequencing. Such mapping gives information about the number of phosphorylation sites present in the protein, and can also be used to find out if sites of phosphorylation on a protein change upon treatment of cells with specific agents.

Phosphopeptide mapping and identification of phosphorylation sites

This unit describes a procedure for proteolytic digestion of a (32)P-labeled protein, followed by separation of the digestion products in two dimensions on a TLC plate, which gives rise to a phosphopeptide map. Phosphopeptides present on the TLC plate are visualized by autoradiography. These maps give information about the number of phosphate-containing peptides in the digest, and this is related to the number of phosphorylation sites present in the protein. Phosphopeptide maps can also be used to find out whether the sites of phosphorylation on a protein change upon treatment of cells with certain agents. Procedures are also provided for the identification of the sites of phosphorylation from the phosphopeptide maps. A support protocol details purification of phosphopeptides by HPLC and subsequent analysis by mass spectrometry or peptide microsequencing.

Crosstalk between the SUMO and ubiquitin pathways

Several ways in which the SUMO and ubiquitin pathways can intersect and communicate have recently been discovered. This review discusses the principles of crosstalk between SUMOylation and ubiquitination, focusing on the RNF4 family of RING finger E3 ubiquitin ligases, which specifically recognize SUMOylated proteins via their SUMO moiety for ubiquitination.

Akt inhibitor A-443654 induces rapid Akt Ser-473 phosphorylation independent of mTORC1 inhibition

Rapamycin, a natural product inhibitor of the Raptor-mammalian target of rapamycin complex (mTORC1), is known to induce Protein kinase B (Akt/PKB) Ser-473 phosphorylation in a subset of human cancer cell lines through inactivation of S6K1, stabilization of insulin receptor substrate (IRS)-1, and increased signaling through the insulin/insulin-like growth factor-I/phosphatidylinositol 3-kinase (PI3K) axis. We report that A-443654, a potent small-molecule inhibitor of Akt serine/threonine kinases, induces Akt Ser-473 phosphorylation in all human cancer cell lines tested, including PTEN- and TSC2-deficient lines. This phenomenon is dose-dependent, manifests coincident with Akt inhibition and likely represents an alternative, rapid-feedback pathway that can be functionally dissociated from mTORC1 inhibition. Experiments performed in TSC2-/- cells indicate that TSC2 and IRS-1 cooperate with, but are dispensable for, A-443654-mediated Akt phosphorylation. This feedback event does require PI3K activity, however, as it can be inhibited by LY294002 or wortmannin. Small interfering RNA-mediated knockdown of mTOR or Rictor, components of the rapamycin-insensitive mTORC2 complex, but not the mTORC1 component Raptor, also inhibited Akt Ser-473 phosphorylation induced by A-443654. Our data thus indicate that Akt phosphorylation and activity are coupled in a manner not previously appreciated and provide a novel mode of Akt regulation that is distinct from the previously described rapamycin-induced IRS-1 stabilization mechanism.