Precision Education: The Future of Lifelong Learning in Medicine

ABSTRACT

The goal of medical education is to produce a physician workforce capable of delivering high-quality equitable care to diverse patient populations and communities. To achieve this aim amidst explosive growth in medical knowledge and increasingly complex medical care, a system of personalized and continuous learning, assessment, and feedback for trainees and practicing physicians is urgently needed. In this perspective, the authors build on prior work to advance a conceptual framework for such a system: precision education (PE).PE is a system that uses data and technology to transform lifelong learning by improving personalization, efficiency, and agency at the individual, program, and organization levels. PE "cycles" start with data inputs proactively gathered from new and existing sources, including assessments, educational activities, electronic medical records, patient care outcomes, and clinical practice patterns. Through technology-enabled analytics , insights are generated to drive precision interventions . At the individual level, such interventions include personalized just-in-time educational programming. Coaching is essential to provide feedback and increase learner participation and personalization. Outcomes are measured using assessment and evaluation of interventions at the individual, program, and organizational levels, with ongoing adjustment for repeated cycles of improvement. PE is rooted in patient, health system, and population data; promotes value-based care and health equity; and generates an adaptive learning culture.The authors suggest fundamental principles for PE, including promoting equity in structures and processes, learner agency, and integration with workflow (harmonization). Finally, the authors explore the immediate need to develop consensus-driven standards: rules of engagement between people, products, and entities that interact in these systems to ensure interoperability, data sharing, replicability, and scale of PE innovations.

Mucinous ovarian carcinoma: A survey of practice in Australia and New Zealand

BACKGROUND

Mucinous ovarian carcinoma (MOC) is a rare ovarian cancer with limited evidence to support clinical care.

AIMS

We undertook a clinician survey to better understand current practice in treating MOC in Australia and New Zealand, and to determine any features associated with variation in care. In addition, we aimed to understand future research priorities.

METHODS

A RedCap survey was distributed to clinician members of the Australia New Zealand Gynaecological Oncology Group (ANZGOG). Questions included respondent demographics, three case studies and future research priorities. Clinicians were asked questions specific to their speciality.

RESULTS

Respondents (n = 47) were commonly experienced gynae-oncology specialists, most often surgical (38%) or medical (30%) oncologists. There was good consensus for surgical approaches for stage I disease; however, variation in practice was noted for advanced or recurrent MOC. Variation was also observed for medical oncologists; in early-stage disease there was no clear consensus on whether to offer chemotherapy, or which regimen to recommend. For advanced and recurrent disease a wide range of chemotherapy options was considered, with a trend away from an ovarian-type toward gastrointestinal (GI)-type regimens in advanced MOC. This practice was reflected in future research priorities, with 'Is a GI chemotherapy regimen better than an ovarian regimen?' the most highly ranked option, followed by 'Should stage 1C patients receive chemotherapy?'

CONCLUSIONS

Although the number of respondents limited the analyses, it was clear that chemotherapy selection was a key point of divergence for medical oncologists. Future research is needed to establish well-evidenced guidelines for clinical care of MOC.

Patient involvement in research within the Gynecological Cancer InterGroup: A call to action for a systematic approach: Results from a survey

Background and Aims

Involving patients in research, not only as trial subjects, is not a newly established practice. Over the last two decades, patient roles have gradually expanded to become active research contributors, creating a more patient-centered research landscape. Our survey has explored the scope of patient involvement within the Gynecologic Cancer InterGroup (GCIG), an International Gynecologic Cancer Research Consortium, and identified challenges in developing a systematic, meaningful and sustainable level of patient involvement.

Methods

In late 2019, the GCIG Harmonisation Operations Committee conducted an online survey across 26 national and/or international research cooperative groups, aiming to identify current patient involvement practices implemented by each group. Twelve questions were asked. The results have been generated to support a systematic strategic planning process to increase patient involvement into clinical research projects.

Results

More than half of the 26 participating groups have either already involved (15, [58%]) or are planning (6, [23%]) to involve patients in their research activities. Gaining patient support in raising public awareness around clinical trials appears to be one of the most desired benefits (21, [81%]). Ten respondents managed to integrate patient involvement into their standard practice. When involving patients in research the groups mostly consider that patients bring added value to the study (19, [73%]), although only eight groups (40%) have a well-organized process in doing so.

Conclusion

Even though patient involvement is considered a significant added value to clinical research, its application within GCIG groups is not considered on a regular basis and is predominantly limited to operational aspects of research activities. The lack of resources and expertize, as well as the missing well-organized and structured process of some groups, combined with their ability to ensure process sustainability, are among the main factors affecting implementation and adoption of patient involvement within GCIG research activities.

The big business of sustainable food production and consumption: Exploring the transition to alternative proteins

A widespread sense of the unsustainability of the food system has taken hold in recent years, leading to calls for fundamental change. The role of animal agriculture is central to many of these debates, leading to interest in the possibility of a "protein transition," whereby the production and consumption of animal-derived foods is replaced with plant-based substitutes or "alternative proteins." Despite the potential sustainability implications of this transition, the developmental trajectories and transformative potential of the associated technologies remain underexplored. This article sheds light on these dynamics by addressing two questions: 1) how have alternative protein innovations developed over the past three decades, and 2) what explains their more recent acceleration? To answer these questions, the article makes an empirical analysis of four alternative protein innovations, and the partial destabilization of the animal agriculture system between 1990 and 2021, guided by the multi-level perspective. The analysis highlights an intensification in corporate engagement with alternative protein development and diffusion. This intensification is judged to be consistent with the beginnings of a wider corporate reorientation, occurring alongside a rise in pressures on the animal agriculture system, notably an increasing scientific consensus and societal awareness of the links between climate change and meat-intensive diets. The paper demonstrates how differences in technological maturity across the niche innovations have resulted in potentially transformative pressures, which are consistent with an emerging sustainability transition, manifesting differently in terms of the extent of diffusion of the alternative protein niches.

Rapid determination of levels of the main constituents in e-liquids by near infrared spectroscopy

Use of e-cigarettes is increasing, alongside an expanding variety of devices and e-liquids. To match this growth and in line with the expanding legal and regulatory requirements applicable to manufacturers of e-cigarettes (e.g. disclosure of list of ingredients and quantities thereof in a product), rapid methods for determining levels of the main e-liquid constituents-namely, propylene glycol (PG), vegetable glycerol (VG), water and nicotine-are needed. We have assessed the ability of near infrared (NIR) spectroscopy, coupled with partial least squares (PLS) regression, to predict the levels of these constituents in e-liquid formulations. Using NIR spectral data from a large set of reference e-liquids incorporating working concentration ranges, flavourings, and other ingredients, linear calibration models were established for PG, VG, water and nicotine (predicted vs theoretical values, all R2 > 0.995). The performance of these models was then evaluated on commercial e-liquids using NIR and compared to results obtained by gas chromatography (GC). A strong correlation was observed between NIR-predicted values and measured values for PG, VG and nicotine (all R2 > 0.955). There was less consistency between predicted and GC measured values for water due to the relatively high limit of quantification (LOQ) of the GC method (2.6% w/w) versus the e-liquid content (0-18% w/w). The LOQ of the NIR method for water was 0.6% w/w, suggesting that NIR may be a more accurate method than GC to predict water concentration in e-liquids, especially at low levels (< 2.6% w/w). Collectively, although limitations of the technique have been identified, specifically for e-liquids containing compounds that might interfere with the set calibrations, our findings suggest that NIR combined with PLS regression is a suitable tool for rapid, simultaneous and high-throughput measurement of PG, VG, water and nicotine levels in most commercial e-liquids.

Relationship Between Paraoxonase-1 Genotype and Activity, and Major Adverse Cardiovascular Events and Malignancies in Patients With Rheumatoid Arthritis Receiving Tofacitinib

OBJECTIVE

This posthoc analysis investigated the relationship between paraoxonase-1 (PON1) genotype and activity, and risk of major adverse cardiovascular events (MACE) and malignancies in clinical studies of tofacitinib in patients with rheumatoid arthritis (RA).

METHODS

Data were pooled from 9 phase II/III studies and the associated long-term extension studies (all completed by October 2017). PON1 activities in plasma were measured using paraoxon (paraoxonase activity), dihydrocoumarin (lactonase activity), and phenylacetate (arylesterase activity) as substrates. PON1 Q192R genotype effect on baseline PON1 activity was assessed using linear regression for each study, with fixed-effects metaanalysis across studies. MACE and malignancy risk by time-varying enzyme activity was determined using Cox proportional hazards regression.

RESULTS

The analysis included 1969 patients with RA. Compared with the QQ genotype, the RR genotype had a significant positive association with baseline paraoxonase activity and a significant negative association with baseline lactonase and arylesterase activity (all P < 0.001). Time-varying models demonstrated a significant association of increased paraoxonase activity over time with lower risk of MACE (P < 0.001) and malignancies (excluding nonmelanoma skin cancer [NMSC]; P ≤ 0.05), even after controlling for risk factors identified in univariate analysis and RA disease activity. A similar trend was observed for lactonase and arylesterase for MACE.

CONCLUSION

Higher paraoxonase activity over time was associated with significantly reduced risk of future MACE and malignancies (excluding NMSC), but not NMSC, in patients with RA receiving tofacitinib. Further investigation of PON1 as a novel functional lipid biomarker of MACE/malignancy risk in patients with RA is warranted. (ClinicalTrials.gov: NCT01059864, NCT00550446, NCT00687193, NCT00960440, NCT00814307, NCT00856544, NCT00853385, NCT00847613, NCT01039688, NCT00413699, NCT00661661).

Exercise during CHemotherapy for Ovarian cancer (ECHO) trial: design and implementation of a randomised controlled trial

INTRODUCTION

Epidemiological evidence supports an association between higher levels of physical activity and improved cancer survival. Trial evidence is now needed to demonstrate the effect of exercise in a clinical setting. The Exercise during CHemotherapy for Ovarian cancer (ECHO) trial is a phase III, randomised controlled trial, designed to determine the effect of exercise on progression-free survival and physical well-being for patients receiving first-line chemotherapy for ovarian cancer.

METHODS AND ANALYSIS

Participants (target sample size: n=500) include women with newly diagnosed primary ovarian cancer, scheduled to receive first-line chemotherapy. Consenting participants are randomly allocated (1:1) to either the exercise intervention (plus usual care) or usual care alone, with stratification for recruitment site, age, stage of disease and chemotherapy delivery (neoadjuvant vs adjuvant). The exercise intervention involves individualised exercise prescription with a weekly target of 150 minutes of moderate-intensity, mixed-mode exercise (equivalent to 450 metabolic equivalent minutes per week), delivered for the duration of first-line chemotherapy through weekly telephone sessions with a trial-trained exercise professional. The primary outcomes are progression-free survival and physical well-being. Secondary outcomes include overall survival, physical function, body composition, quality of life, fatigue, sleep, lymphoedema, anxiety, depression, chemotherapy completion rate, chemotherapy-related adverse events, physical activity levels and healthcare usage.

ETHICS AND DISSEMINATION

Ethics approval for the ECHO trial (2019/ETH08923) was granted by the Sydney Local Health District Ethics Review Committee (Royal Prince Alfred Zone) on 21 November 2014. Subsequent approvals were granted for an additional 11 sites across Queensland, New South Wales, Victoria and the Australian Capital Territory. Findings from the ECHO trial are planned to be disseminated via peer-reviewed publications and international exercise and oncology conferences.

TRIAL REGISTRATION NUMBER

Australian New Zealand Clinical Trial Registry (ANZCTRN12614001311640; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=367123&isReview=true).

POS0656 FRAILTY AND RISK OF ADVERSE OUTCOMES IN BIOLOGIC OR TARGETED-SYNTHETIC DMARD TREATED PATIENTS WITH RHEUMATOID ARTHRITIS

Background

Recently, it has been recognized that frailty and pre-frailty are common in patients with rheumatoid arthritis (RA) [1]. Whether frailty status portends an increased risk of adverse outcomes in patients with RA on biologic or targeted synthetic disease modifying anti-rheumatic drugs (b- or tsDMARDs) remains unknown.

Objectives

To evaluate the association between frailty and adverse outcomes in patients with RA exposed to b- or tsDMARDs.

Methods

Using the IBM/Watson MarketScan Commercial Claims and Encounters Databases, we identified all patients with RA who filled new prescriptions (or received infusions) for TNFα antagonists (TNFi), non-TNFi biologics (rituximab, abatacept, tocilizumab) or Janus Kinase inhibitors (JAKi) between 2008-2019. We used a 1-year lookback period without the use of these drugs to identify new users. The date of the first prescription within these three drug categories was the index date. Patients’ frailty risk score was calculated using the Claims-Based Frailty Index (CFI) [2], which estimates a deficit-accumulation frailty index using International Classification of Diseases codes, Current Procedural Terminology codes, and Healthcare Common Procedure Coding System codes in administrative claims data in the 1-year baseline period. The index ranges from 0 (not at all frail) to 1 (severely frail). The primary outcome was time to serious infections (those requiring hospitalization); secondary outcomes: any infection (outpatient or inpatient encounters) and all-cause hospitalizations.

Patients were followed until 1) outcome occurrence; 2) disenrollment; 3) >90 days elapsed (or >180 days for rituximab) without further fills of the first drug categories; 4) they filled/received infusions of b-/tsDMARDs from a different drug category; or 5) 2 years after index. Cox proportional hazards adjusting for demographics, calendar year, serious and/or opportunistic infections in the 12-months prior to index were used to estimate the adjusted hazard ratios (aHR) and 95% confidence intervals (CIs) for each outcome. In separate model, we additionally adjusted for comorbidity burden, and health care utilization (HCU).

Results

A total of 62,246 patients with RA met our inclusion criteria of whom 50,910 (82%) started TNFi as their first biologic, 9525 (15%) non-TNFi biologics, and 1811 (3%) JAKi. Among these, 3928 (6%) were considered frail. In multivariable analyses, frail patients had higher risk of serious infections compared to non-frail patients (aHR 2.37, 95% CI 2.05-2.74) which decreased to aHR 1.34, 95% CI 1.13-1.58 (Table 1) after adjusting for comorbidity burden and the HCU. Similarly, frailty was associated with increased risk of any infection (aHR 1.18, 95% CI 1.11-1.25), and all-cause hospitalizations (aHR 1.34, 95% CI 1.21-1.49) relative to non-frail individuals.

Table 1.

Multivariable models evaluating the association between frailty status and inpatient infections as the outcome

Variable#Hazard Ratio (95% Confidence Interval)@Hazard Ratio (95% Confidence Interval)Frail2.37 (2.05, 2.74)1.34 (1.13, 1.58)

#Model adjusts for age, sex, major infection requiring inpatient admission in 12 months prior, concomitant baseline drugs such as csDMARDs, glucocorticoids, NSAIDs and opioids

@Model additionally adjusts for Chalrson comorbidy score and healthcare utilization

Conclusion

Frailty is an important predictor for the risk of adverse outcomes among patients with RA treated with b- or tsDMARDs. Our findings underscore the need for considering this parameter in patient evaluations (even among younger patients) in the clinic.

References

[1]Salaffi F et al: Prevalence of frailty and its associated factors in patients with rheumatoid arthritis: a cross-sectional analysis. Clin Rheumatol 2019

[2]Kim DH et al. Validation of a Claims-Based Frailty Index Against Physical Performance and Adverse Health Outcomes in the Health and Retirement Study. J Gerontol A Biol Sci Med Sci 2019

Acknowledgements

I have no acknowledgements to declare.

Disclosure of Interests

None declared

IGNITE: A phase II signal-seeking trial of adavosertib targeting recurrent high-grade, serous ovarian cancer with cyclin E1 overexpression with and without gene amplification

5515

Background: Cyclin E1 gene amplification and protein over-expression is a marker of platinum resistance in high grade serous ovarian, fallopian tube or primary peritoneal cancer (HGSC), and may predict response to WEE1 inhibition. Adavosertib, a WEE1 inhibitor, has demonstrated activity in unselected women with recurrent ovarian and serous endometrial cancer. We aimed to evaluate the efficacy of adavosertib in women with recurrent platinum resistant HGSC with cyclin E1 over-expression, with and without gene amplification. Methods: IGNITE is a multicentre, phase 2 trial with 2 cohorts of women with recurrent platinum resistant HGSC. Tumors were assessed for cyclin E1 protein expression by IHC and CCNE1 copy number by FISH. Patients were assigned to Cohort 1 if tumors were cyclin E1 over-expressed (H-score>50) and amplified (≥8 copies), and Cohort 2 if tumors were overexpressed and nonamplified. Patients with evaluable disease by RECIST v1.1 or GCIG CA-125 criteria were included. Adavosertib 300mg PO was given daily on days 1-5 and 8-12 of a 21-day cycle. The primary endpoint was investigator assessed clinical benefit (CB) defined as absence of progression for ≥ 18 weeks. Here we present the 18-week response data for the first 32 patients treated from Cohort 2, with a data cut-off of August 2021. Results: Between Jan-2020 and May-2021, 32 patients were accrued to Cohort 2. Median age was 62 years (range 42-77) and 84% had received ≥2 prior lines of chemotherapy. Median cyclin E1 IHC H-score was 120 and 28 patients (88%) had measurable disease by RECIST. Median number of cycles commenced was 8 (range 1-19). Overall response rate (ORR) was 53% and CB rate was 61% for all evaluable patients. Seventeen patients (53%) required a dose reduction, most commonly for neutropenia or fatigue. Seventeen patients experienced ≥Grade 3 treatment related adverse event, and 4 patients (15%) discontinued due to toxicity. Conclusions: The efficacy results in a biomarker-selected cohort of patients are promising with a higher response rate than reported in previous studies of adavosertib in unselected women with recurrent HGSC. Duration of response and progression free survival data will be presented as data matures. Clinical trial information: ACTRN12619001185156P. [Table: see text]

Vascular inflammation in patients with obstructive sleep apnoea and coronary artery disease shown on coronary computed tomography angiography attenuation

Funding Acknowledgements

Type of funding sources: None.

Introduction

Obstructive sleep apnoea (OSA) is associated with increased plaque burden in coronary artery disease (CAD), but the role of vascular inflammation in this relationship is unclear. Coronary computed tomography angiography (CTA) enables surrogate assessment of systemic inflammation via subcutaneous adipose tissue attenuation (ScAT-a), and of coronary inflammation via epicardial adipose tissue volume and attenuation (EAT-v and EAT-a) and pericoronary adipose tissue attenuation (PCAT-a).

Purpose

To investigate whether vascular inflammation is increased in patients with severe OSA and high plaque burden.

Methods

Patients with clinically indicated polysomnography and coronary CTA were included. Severe OSA was classified as apnoea/hypopnoea index (AHI) &gt;30. High plaque burden was defined as a CT-Leaman score (CT-LeSc) &gt;8.3. Patients with both severe OSA and high plaque burden were defined as ‘Group 1’, all other patients were classified as ‘Group 2’. ScAT-a, EAT-a, EAT-v and PCAT-a were assessed on semi-automated software.

Results

A total of 91 patients were studied (59.3 ± 11.1 years). Severe OSA was associated with high plaque burden (p = 0.02). AHI correlated with CT-LeSc (r = 0.24, p = 0.023). Group 1 had lower EAT-a and PCAT-a compared to Group 2 (EAT-a: -87.6 vs. -84.0 HU, p = 0.01; PCAT-a: -90.4 vs. -83.4 HU, p &lt; 0.01). However, among patients without high plaque burden, EAT-a was increased in patients with severe OSA versus mild-moderate OSA (-80.3 vs. -84.0 HU, p = 0.020). On multivariable analysis, EAT-a independently associated with severe OSA and high plaque burden (p &lt; 0.02), and PCAT-a associated with severe OSA and high plaque burden, and hypertension (all p &lt; 0.01).

Conclusions

EAT attenuation is decreased in patients with severe OSA and high plaque burden but increased in patients with severe OSA and low plaque burden. These divergent results suggest coronary inflammation may be increased in OSA independent of CAD, but larger studies are required to validate these findings.

In vivo coronary artery thrombus imaging with 18F-GP1 PET-CT

Background

Coronary artery thrombus is typically present in type 1 myocardial infarction, but small volumes in the setting of an uncertain culprit lesion may be beyond the detection limit of current imaging modalities.

Purpose

Using a novel glycoprotein IIb/IIIa-receptor radiotracer, 18F-GP1, we investigated whether positron emission tomography-computed tomography (PET-CT) could detect thrombus formation in coronary arteries.

Methods

In a single centre cross-sectional study, patients over 40 years of age with myocardial infarction were recruited after myocardial infarction and underwent underwent CT angiography and 18F-GP1 PET-CT. Stable patients with and without coronary artery disease formed a control cohort. Coronary artery 18F-GP1 uptake was visually assessed and quantified using maximum target-to-background ratios (TBRmax).

Results

Ninety-four (44 post-myocardial infarction and 50 control patients) were included in the cross-sectional analysis. The mean age of the post-myocardial infarction group was 61±9 years, three-quarters were male and two thirds had presented with ST elevation on electrocardiography. 34 (80%) patients post-myocardial infarction, but none of the control patients, demonstrated focal 18F-GP1 uptake in the coronary arteries.

Of 42 vessels with an angiographic culprit lesion, 35 (83%) had 18F-GP1 uptake which was significantly higher than non-culprit vessels (p&lt;0.0001) as well as control vessels (p&lt;0.0001), while non-culprit vessel uptake was similar to control vessel uptake (p=0.567): culprit vessel median TBRmax 1.2 [interquartile range 0.96–1.44], non-culprit vessel TBRmax 0.96 [0.84–1.03] and control vessel TBRmax 0.9 [0.76 to 0.94]. Linear regression models demonstrated univariable associations between coronary 18F-GP1 TBRmax and time from myocardial infarction, male sex and presence of culprit vessel. On multivariable analysis, only culprit vessel status was associated with TBRmax (adjusted R2= 0.22, P&lt;0.001). Based on the Youden's index of the ROC curves, the optimal cut-off of predicting the presence of a culprit vessel was 1.20 with a specificity of 97%, accuracy of 83%, sensitivity (60%) and c-statictic of 0.74.

A patient with ectatic vessel and visual thrombus demonstrated the most intense 18F-GP1 uptake (TBRmax 2.0, highest in the cohort) in the region of heaviest thrombus burden (Figure 2). Extra-coronary uptake was seen in regions of left ventricular thrombus, left atrial appendage thrombus, pulmonary thromboembolism and intramyocardial microvascular obstruction.

Conclusions

18F-GP1 PET-CT is able to detect coronary artery thrombus in culprit lesions following myocardial infarction, as well as extra-coronary thrombotic pathologies that may be important in guiding patient management. 18F-GP1 is highly specific in recognising a culprit lesion from a non-culprit lesion both visually as well as quantitatively.

Funding Acknowledgement

Type of funding sources: Foundation. Main funding source(s): British Heart Foundation Figure 1Figure 2

Clinical activity of durvalumab for patients with advanced mismatch repair-deficient and repair-proficient endometrial cancer. A nonrandomized phase 2 clinical trial

BACKGROUND

In this study, we assessed the activity of durvalumab, an antibody to programmed death ligand-1, in two cohorts of women with advanced endometrial cancers (AEC)-mismatch repair proficient (pMMR) and mismatch repair deficient (dMMR).

METHODS

A multicenter phase two study was performed in women with AEC with pMMR tumor progressing after one to three lines of chemotherapy and women with AEC with dMMR tumor progressing after zero to three lines of chemotherapy. Mismatch repair status was based on immunohistochemistry expression. All women received durvalumab 1500 mg given every 4 weeks until progression or unacceptable toxicity. The primary endpoint was objective tumor response by RECIST V.1.1 modified for immune-based therapeutics.

RESULTS

Seventy-one women were recruited: 35 dMMR and 36 pMMR. Median follow-up was 19 vs 21 months in dMMR versus pMMR, respectively. Median age was 67 years. Histology in dMMR versus pMMR included endometrioid (94% vs 57%) and serous (0% vs 31%) and was high grade in 26% vs 74%. The objective tumor response rate (OTRR) in the dMMR cohort was 47% (17/36, 95% CI 32 to 63), including 6 complete responses and 11 partial responses (PRs)) vs 3% in the pMMR cohort (1/35, 95% CI 1 to 15, PR). In the dMMR cohort, durvalumab was the first-line therapy in 58% (OTRR 57%) and the second-line therapy in 39% (OTRR 38%). Median progression-free survival was 8.3 months in the dMMR cohort vs 1.8 months in the pMMR cohort. The 12-month overall survival (OS) rate was 71% in dMMR vs 51% in pMMR, with median OS not reached for dMMR vs 12 months for pMMR. Immune-related adverse events occurred in 14 women, mostly grades 1-2.

CONCLUSION

Durvalumab monotherapy showed promising activity and acceptable safety in AEC with dMMR regardless of prior lines of chemotherapy, but activity was limited in AEC with pMMR.

TRIAL REGISTRATION NUMBERS

ANZGOG1601, ACTRN12617000106336, and NCT03015129.

POS1422 CORRELATES OF TESTING POSITIVE FOR SARS-COV-2 IN PATIENTS WITH RHEUMATIC AD MUSCULOSKELETAL DISEASES

Background:

Many studies on COVID-19 outcomes in patients with RMD have either restricted to COVID positive RMD patients or compared them to the general clinic population as a comparator. Given heterogeneity in behaviors and risks, clinical characteristics associated with a positive diagnosis among patients with RMD seeking testing for Sars-CoV-2 remain less well studied.

Objectives:

Among patients with RMD receiving a Sars-CoV-2 PCR test, we aimed to identify RMD-related factors associated with a positive test result.

Methods:

Among patients seen at least once in the University of Washington (UW) rheumatology clinics between March 2018 to March 2020, we reviewed electronic medical records to identify patients undergoing Sars-CoV-2 PCR testing from March 1 through October 31, 2020. Patients with RMD were categorized into two groups: those who tested positive for Sars-CoV-2 and those who tested negative. We randomly selected patients from the negative group in a 2:1 ratio for further data abstraction. Student’s t-test and Chi-squared tests were used to compare continuous and categorical variables, respectively, between the groups. To determine the correlates of testing positive for Sars-CoV-2, specifically RMD medication use and disease activity, we constructed different multivariable logistic regression models adjusted for age, sex, race/ethnicity, presence of comorbidities, body mass index, and smoking.

Results:

A total of 2768 RMD patients underwent SARS-CoV-2 PCR testing within the UW system, of whom 43 (1.5%) were positive at least once. Three patients with incomplete information were excluded. Patients who tested positive had higher prevalence of end stage renal disease (ESRD)/chronic kidney disease (CKD) (24% versus 11%), had higher rates of active disease (24% versus 20%), were older (>55 years) (mean age 57.3 versus 54.8 years), male (63% versus 55%), non-white race/ethnicity (32% versus 26%), and higher prevalence of multiple comorbidities (42% versus 31%) (Table 1). In the multivariable models, neither RMD medication use (versus no use, Table 1) nor high disease activity (vs low disease activity/remission) were statistically significantly associated with COVID-19 positivity. Among the 41 COVID-19 positive patients, a majority recovered without specific treatments, although approximately one third of the positive patients were hospitalized and three deaths were observed.

Conclusion:

In this study, patients who tested positive did not differ in many ways from those who tested negative.

Table 1.

Baseline characteristics of the patients prior to COVID testing

VariablesAll(N=126)COVID Positive (N=41)COVID Negative(N=85)P valueAge in years – mean (SD)55.6 (15.3)57.3 (16.3)54.8 (14.9)0.40Sex0.39 Male73 (57.9)26 (63.4)47 (55.3) Female53 (42.1)15 (36.6)38 (44.7)Race0.39 White89 (71.2)26 (63.4)63 (74.1) Other race35 (28.2)13 (31.7)22 (25.9) Missing2 (1.6)2 (4.9)0 (0.0)Rheumatic disease0.64 OA/Crystal/Fibromyalgia37 (29.4)11 (26.8)26 (30.6) RA/SpA32 (25.4)9 (22.0)23 (27.1) All others57 (45.2)21 (51.2)36 (42.3)Rheumatic disease activity0.57 Active27 (21.4)10 (24.4)17 (20.0) Not active99 (78.6)31 (75.6)68 (80.0)Co-morbidities  Diabetes mellitus (%)25 (19.8)9 (22.0)16 (18.8)0.68  Hypertension48 (38.1)20 (48.8)28 (32.9)0.09  Cardiovascular disease23 (18.3)9 (22.0)14 (16.5)0.46  Lung disease25 (19.8)10 (24.4)15 (17.7)0.37  Cancer10 (7.9)3 (7.3)7 (8.2)0.86  ESRD/CKD19 (15.1)10 (24.4)9 (10.6)0.04*

BMI: Body mass index; SD: Standard deviation; OA: Osteoarthritis; Crystal: Crystalline diseases; RA: Rheumatoid arthritis; SpA: Spondyloarthritis

Acknowledgements:

The work in this study was supported by grant UL1 TR002319 to Dr Singh from the Institute of Translational Health Sciences of the University of Washington.

Disclosure of Interests:

None declared

POS0443 EXPLORING NOVEL TENOSYNOVITIS AND COMBINED INFLAMMATION IMAGING OUTCOMES: RESULTS FROM A RANDOMISED CONTROLLED TRIAL IN EARLY RHEUMATOID ARTHRITIS

Background:

Magnetic resonance imaging (MRI) trial outcomes have largely focused on synovitis, bone marrow oedema (BME) and erosions. Tenosynovitis is a common manifestation of rheumatoid arthritis (RA), but is relatively understudied; a combined inflammation score (CIS) summing synovitis, BME and tenosynovitis may be a highly responsive measure. We previously showed the responsiveness of the Outcome Measures in Rheumatology (OMERACT) RA MRI scoring system (RAMRIS) and a machine-learning derived automated tool (RAMRIQ) in a randomised controlled trial (RCT) of tofacitinib and methotrexate (MTX) in MTX-naïve patients (pts) with early RA.1

Objectives:

This post hoc analysis assessed the impact of tofacitinib ± MTX on MRI tenosynovitis and CIS in pts with early RA using semiquantitative and quantitative MRI outcomes.

Methods:

Study A3921068 (NCT01164579), a 1-year, exploratory, Phase 2, RCT, compared tofacitinib 10 mg twice daily (BID) ± MTX, and MTX monotherapy, in MTX-naïve pts with early RA.1 MRI of unilateral wrist and metacarpophalangeal joints was performed at screening/baseline (BL) and Months (M)1/3/6/12. MRI tenosynovitis and CIS were assessed using RAMRIS and RAMRIQ. Changes from BL (Δ) in RAMRIS and RAMRIQ tenosynovitis and CIS were evaluated at M1/3/6/12. Data were assessed using a mixed-effect model for repeated measures, with treatment arms as factors and BL values as covariates. Using data pooled across treatment arms, Spearman’s rank correlation coefficients were calculated for associations between BL RAMRIS and BL RAMRIQ tenosynovitis and CIS vs BL Disease Activity Score in 28 joints, C-reactive protein (DAS28-4[CRP]), and ΔRAMRIS and ΔRAMRIQ tenosynovitis and CIS at M12 vs ΔDAS28-4(CRP) at M12.

Results:

In total, 109 pts were randomised and treated. ΔRAMRIS and ΔRAMRIQ tenosynovitis and CIS were generally significantly greater at M3/6/12 in pts receiving tofacitinib ± MTX vs MTX, while ΔRAMRIQ CIS was also significantly greater at M1 (Figure 1). Compared with RAMRIS, RAMRIQ outcomes were generally more responsive to treatment with tofacitinib ± MTX. Significant correlations were seen between BL RAMRIS and BL RAMRIQ tenosynovitis and BL RAMRIS CIS vs BL DAS28-4(CRP), and between ΔRAMRIS and ΔRAMRIQ tenosynovitis and CIS at M12 vs ΔDAS28-4(CRP) at M12 (Table 1). In general, stronger correlations were seen between BL DAS28-4(CRP) and BL RAMRIS vs BL RAMRIQ parameters, while correlations were similar between ΔDAS28-4(CRP) at M12 and ΔRAMRIS and ΔRAMRIQ parameters at M12.

Table 1.

Correlations between a) BL RAMRIS and BL RAMRIQ tenosynovitis and CIS vs BL DAS28-4(CRP) (N=109) and b) ΔRAMRIS and ΔRAMRIQ tenosynovitis and CIS at M12 vs ΔDAS28-4(CRP) at M12 (N=73) across treatment armsa

a)BL DAS28-4(CRP)b)ΔDAS28-4(CRP)BL imaging featureCorrelationp valueΔImaging featureCorrelationp valueRAMRIStenosynovitis0.3660.0001RAMRIStenosynovitis0.531<0.0001RAMRIS CIS0.399<0.0001RAMRIS CIS0.554<0.0001RAMRIQtenosynovitis0.2050.037RAMRIQtenosynovitis0.543<0.0001RAMRIQ CIS0.1800.062RAMRIQ CIS0.564<0.0001

aData were pooled across the tofacitinib 10 mg BID ± MTX and MTX monotherapy arms

Spearman’s rank correlation coefficients and p values were calculated for associations between RAMRIS and RAMRIQ parameters and DAS28-4(CRP); tenosynovitis and CIS were assessed using combined data from metacarpophalangeal and wrist joints; CIS is the sum of synovitis, BME and tenosynovitis values

Δ, change from BL; N, number of pts with values at BL/timepoint of interest

Conclusion:

Responsiveness of RAMRIS and RAMRIQ tenosynovitis and CIS was demonstrated with significant improvements through M12 in pts receiving tofacitinib 10 mg BID ± MTX vs MTX. Construct validity for RAMRIS and RAMRIQ tenosynovitis and CIS was evident from correlations with DAS28-4(CRP). Further work is needed to validate these novel imaging biomarkers in terms of relative responsiveness and prediction of later structural progression.

References:

[1]Conaghan et al. Ann Rheum Dis 2016; 75: 1024-1033.

Acknowledgements:

Study sponsored by Pfizer Inc. Medical writing support was provided by Jennifer Arnold, CMC Connect, and funded by Pfizer Inc.

Disclosure of Interests:

Philip G Conaghan Speakers bureau: AbbVie, Novartis, Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly, Flexion, Galapagos, Gilead Sciences, GlaxoSmithKline, Janssen, Novartis, Pfizer Inc, Regeneron, Mikkel Østergaard Speakers bureau: AbbVie, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Centocor, Eli Lilly, GlaxoSmithKline, Hospira, Janssen, Merck, Mundipharma, Novartis, Novo, Orion, Pfizer Inc, Regeneron, Roche, Schering-Plough, Takeda, UCB, Wyeth, Consultant of: AbbVie, Boehringer Ingelheim, Bristol-Myers Squibb, Celgene, Centocor, Eli Lilly, GlaxoSmithKline, Hospira, Janssen, Merck, Mundipharma, Novartis, Novo, Orion, Pfizer Inc, Regeneron, Roche, Schering-Plough, Takeda, UCB, Wyeth, Grant/research support from: AbbVie, Centocor, Merck, Orrin Troum Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Horizon, Novartis, Pfizer Inc, Sanofi-Genzyme, Consultant of: AbbVie, Amgen, Bristol-Myers Squibb, Eli Lilly, Horizon, Pfizer Inc, Grant/research support from: AbbVie, Amgen, Bristol-Myers Squibb, Centocor, Corrona, Novartis, Pfizer Inc, Zhiyong Xie Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Alan Brett Shareholder of: Stryker Corp, Employee of: Stryker Corp, Mark Snyder Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Abbas Ebrahim Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Douglass Chapman Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Gosford Sawyerr Consultant of: Pfizer Inc, Employee of: Syneos Health, John Andrews Shareholder of: Pfizer Inc, Employee of: Pfizer Inc

POS0442 RELATIONSHIP BETWEEN PARAOXONASE-1 GENOTYPE, ACTIVITY AND MAJOR ADVERSE CARDIOVASCULAR EVENTS IN PATIENTS WITH RHEUMATOID ARTHRITIS RECEIVING TOFACITINIB

Background:

Paraoxonase-1 (PON1) is a high-density lipoprotein (HDL)-associated enzyme with paraoxonase, lactonase and arylesterase activities.1 PON1 contributes to the antioxidant properties of HDL, and is being investigated for its atheroprotective properties.1 Patients (pts) with rheumatoid arthritis (RA) who are homozygous for the RR genotype of the Q192R gene polymorphism on PON1 (rs662) have increased paraoxonase activity, and lower risk of carotid plaques, vs those with QQ or QR genotypes.2 Tofacitinib is an oral Janus kinase inhibitor for the treatment of RA.

Objectives:

To investigate the relationship between PON1 genotype/activity and risk of major adverse cardiovascular events (MACE) in the tofacitinib RA clinical programme.

Methods:

In this post hoc analysis, data were pooled from pts enrolled in nine Phase 2/3 studies of tofacitinib in RA. Enzyme activities in pt plasma samples were measured at individual study baseline (BL) and at follow-up visits using three substrates: paraoxon (paraoxonase activity), dihydrocoumarin (lactonase activity) and phenylacetate (arylesterase activity). The effect of the PON1 Q192R genotype (QQ, QR or RR) on BL paraoxonase/lactonase/arylesterase activity was assessed using linear regression for each study, with age and sex as covariates, and then fixed-effect meta-analysis assessed effects across studies. The risk of MACE by enzyme activity was determined using Cox proportional hazards regression stratified by clinical studies. Univariate regression against BL enzyme activity and other risk factors, as well as both minimally and fully adjusted multivariable regressions against time-varying enzyme activity, are presented.

Results:

The analysis included 1969 pts with RA who received ≥1 dose of tofacitinib and had PON1 activity measures available at BL; 39 pts had ≥1 MACE event. Compared with the QQ genotype, the RR genotype had a highly significant positive association with BL paraoxonase activity, and a highly significant negative association with BL lactonase and arylesterase activity (Table 1). A univariate analysis identified several BL covariates significantly associated with risk of MACE (Figure 1a). Time-varying models found a highly significant association of increased paraoxonase activity over time with lower risk of future MACE, even after controlling for low-density lipoprotein or HDL cholesterol levels, and other traditional cardiovascular (CV) risk factors identified in univariate analysis (Figure 1b), with similar findings for lactonase and arylesterase (data not shown).

Table 1.

Effect of PON1 genotype (RR vs QQ) on BL enzyme activity

nEstimate95% CIp valueCochran’s Q testParaoxonase12291.0350.93, 1.141<0.00010.209Lactonase1188-0.375-0.505, -0.246<0.00010.025Arylesterase1231-1.016-1.382, -0.649<0.00010.251

Fixed-effects model; estimate >0 favours RR genotype and <0 favours QQ genotype

BL, baseline; CI, confidence interval

Conclusion:

Higher activity of the HDL-associated protein PON1 over time was associated with a significantly reduced risk of future MACE in pts with RA receiving tofacitinib, after controlling for traditional CV risk factors and cholesterol levels. Further investigation of PON1 as a novel functional lipid biomarker to assess CV risk in pts with RA is warranted.

References:

[1]Mackness & Mackness. Gene 2015; 567: 12-21.

[2]Charles-Schoeman et al. Arthritis Rheum 2013; 65: 2765-2772.

Acknowledgements:

Study sponsored by Pfizer Inc. Medical writing support was provided by Jennifer Higginson, CMC Connect, and funded by Pfizer Inc.

Disclosure of Interests:

Christina Charles-Schoeman Consultant of: AbbVie, Gilead, Pfizer Inc, Regeneron-Sanofi, Grant/research support from: AbbVie, Bristol-Myers Squibb, Pfizer Inc, Craig Hyde Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Shunjie Guan Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, Neil Parikh: None declared, Jennifer Wang: None declared, Ani Shahbazian: None declared, Lori Stockert Shareholder of: Pfizer Inc, Employee of: Pfizer Inc, John Andrews Shareholder of: Pfizer Inc, Employee of: Pfizer Inc

POS0459 UNSUPERVISED CLUSTERING IDENTIFIES UNIQUE SUBSETS OF PATIENTS IN A RACIALLY AND ETHNICALLY DIVERSE RHEUMATOID ARTHRITIS COHORT

Background:

Single biomarkers have limited utility to date in guiding RA clinical care. Machine learning algorithms may better identify and stratify RA patients with differential outcomes.

Objectives:

To determine if unsupervised machine learning methods can be employed in a racially and ethnically diverse RA cohort to identify clusters of patients with different disease activity trajectories, as measured by DAS28ESR.

Methods:

Data are derived from the longitudinal, observational University of California, San Francisco RA Cohort. Along with routine labs, medications and disease activity assessments, a multiple biomarker of disease activity (MBDA) panel was obtained at each visit. The MBDA measures 12 serum biomarkers. Four patient clusters were identified by unsupervised K-prototype clustering after collapsing all observations into a cross sectional dataset. Plots were created to display longitudinal disease activity trajectories for each cluster. Lasso regression was applied to identify biomarkers associated with DAS28ESR.

Results:

We identified 4 distinct clusters in our cohort (Table 1) with visually different disease activity trajectories (Fig. 1). Cluster 1 (n=116) was older (63.6±9.7), had the highest proportion of Asian participants (n=73, 63%) with the most study visits and longest disease duration. Cluster 2 (n=70) had the highest mean DAS28ESR (5.5±0.7), and the highest mean dose of prednisone (8.6±4.9 mg/day). Cluster 3 had the lowest number of participants (n=14), study visits and lowest biologic use (28.6%). Cluster 4 was the largest cluster (n=173) with the shortest disease duration (4.9±3.8 years) and highest biologic use (61.3%). In the Lasso regressions, leptin was found to have significant positive associations with DAS28ESR in the whole group as well as Clusters 2 and 4. EGF had negative associations with DAS28ESR in the whole group, Cluster 1 and 4. CRP had positive associations with DAS28ESR in the whole group and Cluster 1. YKL40 and VCAM1 were found to have significant associations in Clusters 1 and 3, respectively.

Conclusion:

We identified 4 unique clusters of RA patients in a racially and ethnically diverse longitudinal cohort with different disease activity trajectories and biomarkers associated with disease activity. Although additional work is needed to explore longitudinal outcomes in each cluster, the application of machine learning methods may identify unique combinations of patient and disease characteristics influencing RA clinical outcomes.

Table 1.

Demographics and clinical characteristics of the RA cohort. Biomarkers significantly associated with DAS28ESR were determined by Lasso regression Values listed are per standard deviation of each biomarker.

Overall(N=373)Cluster 1 (N=116)Cluster 2 (N=70)Cluster 3 (N=14)Cluster 4 (N=173)Demographics:Age54.8 ± 3.663.6 ± 9.750.8 ± 14.958.2 ± 15.850.3 ± 12.1Female Sex318 (85%)101 (87%)57 (81%)11 (79%)149 (86%)Race: Hispanic/Latino181 (49%)22 (19%)47 (67%)5 (36%)107 (62%) Asian123 (33%)73 (63%)8 (11%)6 (43%)36 (21%) Black35 (9%)12 (10%)8 (11%)2 (14%)13 (8%) White & Other34 (9%)9 (7%)7 (10%)1 (7%)17 (10%)Clinical Characteristics:Rheumatoid Factor315 (85%)104 (90%)56 (80%)13 (93%)142 (82%)ACPA297 (80%)98 (85%)54 (77%)12 (86%)133 (77%)Disease Duration7.8 ± 7.613.7 ± 9.75.4 ± 4.66.7 ± 5.74.9 ± 3.8csDMARD344 (92%)108 (93%)63 (90%)13 (93%)160 (93%)Biologic DMARD185 (50%)45 (39%)30 (43%)4 (29%)106 (61%)Prednisone Dose6.7 ± 3.86.0 ± 4.08.6 ± 4.95.8 ± 1.46.3 ± 2.8Body Mass Index28.2 ± 4.526.6 ± 3.828.7 ± 3.828.0 ± 6.229.1 ± 4.7DAS28ESR4.2 ± 1.14.2 ± 1.05.5 ± 0.83.9 ± 0.83.7 ± 0.9Lasso Results:EGF-0.16*-0.41***-----0.20**Leptin0.15**--0.21*--0.21**c-reactive protein0.34**0.51***------VCAM1-------0.73*--YKL40--0.26*------

-EGF: epidermal growth factor; VCAM1: Vascular cell adhesion protein 1; YKL40: Chitinase-3-like protein 1.

-*p<0.05, **p<0.01, ***p<0.001

Figure 1.

DAS28ESR trajectory plots with 95%CIs for the whole cohort and by cluster.

Acknowledgements:

This work was supported by the Rheumatology Research Foundation Scientist Development Award.

Disclosure of Interests:

None declared

An alternative approach to railway asset management value analysis: application to a UK railway corridor

Railway networks are complex systems, and the management of such systems is a challenging task for railway asset managers. It is their responsibility to ensure that the network delivers the highest level of performance for all stakeholders while adhering to strict safety regulations and financial constraints. Historically, reliability, availability, maintainability and safety (RAMS) analysis has been used to assess the performance and safety of railway networks. Nonetheless, there is a lack of consistency in approaches across the industry, with analysis often influenced by the key stakeholders at the time. This research demonstrates an application of an extended RAMS (ExRAMS) framework on the UK railway network. The ExRAMS framework aims to consolidate various extensions to the traditional RAMS approach into a single universal approach, which is beneficial to all stakeholders. This paper explores the data currently available within the rail industry and how these can be used to assess the ten metrics within the framework. The final part of the paper explores how the parameters within the ExRAMS framework can be used as the bases of a value analysis, which can then be used to assist with asset-management decisions.

POS0537 TRENDS AND PREDICTORS OF INPATIENT MORTALITY IN PATIENTS WITH CLOSTRIDIODES DIFFICILE INFECTION AMONG THOSE WITH AND WITHOUT RHEUMATOID ARTHRITIS: A NATIONWIDE ANALYSIS

Background:

People with rheumatoid arthritis (RA) have a higher risk of serious infections. The most common nosocomial infection in the United States (US) is Clostridioides difficile infection (CDI) and yet, little is known regarding the impact of comorbid RA on outcomes in persons hospitalized with CDI.

Objectives:

To evaluate the trends over time and predictors of inpatient mortality in hospitalized patients with CDI comparing those with and without RA.

Methods:

We used the National Inpatient Sample (NIS) database, the largest available all-payer database of inpatient hospitalizations in the US. Patients aged ≥18 years admitted with CDI from 2006-2018 were included. Patients with RA were identified using the International Classification of Diseases (ICD) 9 and 10 codes. Categorical variables between CDI patients with and without RA were compared using Chi-squared test. Temporal trends of hospitalization charges, length of stay (LOS) and inpatient mortality were assessed using the Cochrane Armitage test. Predictors of inpatient mortality were assessed using multivariable logistic regression adjusting for: age ≥65, sex, race, presence of RA, and Elixhauser comorbidity index.

Results:

There were 4,396,945 hospitalizations with a discharge diagnosis of CDI in the study period, of which 111,336 (2.5%) had a coexisting diagnosis of RA. Over the study period, the proportion of CDI patients with a diagnosis of RA increased from 1.7% in 2006 to 3.3% in 2018 with a statistically significant trend of rise (p trend<0.001). There were significantly more females in the RA group (78.2%) than without RA (57.5%), p <0.001. RA group was significantly younger (68.0 vs 70.7, P<0.001). Races were similar between the groups.

The inflation-adjusted average charge for hospitalization for CDI without RA was significantly higher than for CDI with RA ($95,863 vs $73,025, p<0.001). There was an increasing trend in inflation-adjusted average charge for hospitalization for both CDI without RA ($76,966 in 2006 to $104,552 in 2018, p<0.001) and CDI with RA ($55,689 in 2006 to $77,295 in 2018, p<0.001). Patients with or without RA had the same median length of stay (LOS) of 7 days. But when trended over time, for patients without RA, the median LOS decreased from 8 days in 2006-08 to 6 days in 2016-18 whereas for patients with RA, the median LOS fluctuated between 6 and 7 days over the course of study period.

CDI patients without RA had a significantly higher mortality over the study period than those with RA (7.8% vs 6.1%, p<0.001). Among non-RA CDI patients, mortality decreased from 9.3% in 2006 to 6.3% in 2018 (p trend <0.001). Hospitalizations of people with CDI and comorbid RA showed an overall decreasing trend (p trend <0.001).

The multivariable analyses found age≥65 was associated with increased inpatient mortality (adjusted odds ratio [aOR], 1.77, 95% confidence interval [CI], 1.73-1.80), whereas a diagnosis of RA was associated with a decreased mortality (aOR 0.86, 95% CI, 0.81-0.91) (Table 1).

Table 1.

Predictors of inpatient mortality

aOR95% C.I. for aORP-valueLowerUpperAge ≥ 651.7651.7301.801<0.001Hospitalization years -Years 2006-2011Ref -Years 2011-20140.7070.6930.721<0.001 -Years 2015-20180.5820.5690.594<0.001Elixhauser Comorbidity Index1.0561.0551.056<0.001Rheumatoid Arthritis0.8590.8100.911<0.001Female0.8700.8550.885<0.001Race -WhiteRef -African American1.0711.0441.099<0.001 -Hispanic1.1441.1081.180<0.001 -Asian/Pacific Islander1.2671.2001.337<0.001 -Native American1.0220.9101.1470.716 -Other races1.2631.2011.329<0.001

aOR = Adjusted Odds Ratio; C.I.= confidence interval

Conclusion:

In this nationwide study, among hospitalized patients with CDI, those with comorbid RA had significantly decreased odds of inpatient mortality than those without RA. Further studies are needed to understand this association.

Figure 1.

Disclosure of Interests:

None declared

Clinical trials site recruitment optimisation: Guidance from Clinical Trials: Impact and Quality

Background/Aims:

Participants are integral to the success of any clinical research study, yet participant recruitment into clinical trials poses ongoing and complex challenges. It is widely accepted and recognised that clinical trial sites often find it difficult to meet recruitment goals, both in terms of accrual targets and timelines. This can impact the validity of trials or cause major delays for research. There are very few frameworks available to clinical trial sites to improve recruitment. The GREET project (Guidance to Recruitment: Examining Experiences at clinical Trial sites) sought to identify barriers to recruitment and produce formal guidance to optimise recruitment outcomes.

Methods:

Clinical Trials: Impact and Quality, a collaborative of sector stakeholders, convened a project team with comprehensive knowledge of the Australian clinical trials sector to undertake the GREET project. The project scope included exploration of recruitment issues at a site level across all phases of clinical trials and all types of trial sites. The scope excluded upstream issues such as protocol design and general public clinical trial awareness, participant retention and elements of recruitment outside a site’s capacity to directly influence or control. The project team’s extensive knowledge and experience conducting clinical trials in Australia was used to collaboratively identify a list of 24 key barriers and 12 enablers to site recruitment which formed the basis of the project. Key stakeholder groups were surveyed to challenge project team assumptions. A national and international environmental scan and literature review was conducted to identify best-practice recruitment solutions.

Results:

A total of 343 people responded to a survey sent to sites, sponsors, and contract research organisations, and 162 people responded to a survey sent to consumers via consumer networks. The key barriers and enablers initially identified by the project team aligned with the key outcomes of the surveys, which in turn assisted in the development of best-practice recommendations in the form of a Clinical Trial Site Recruitment Guide. Recommendations were grouped into four key themes; conducting accurate study feasibility; proactive planning during start-up; selecting optimal recruitment methods; and participant involvement. Early intervention was identified as a key facilitator in maximising improved recruitment outcomes. The GREET Clinical Trial Site Recruitment Guide is publicly accessible on the Clinical Trials: Impact and Quality website.

Conclusion:

Participant recruitment challenges experienced at a site level are widespread and varied, and there is no universal recruitment solution. However, this project identified that there are interventions and assessments that can be proactively implemented and selectively applied to facilitate improved recruitment outcomes.

Tumor-associated immune cells and progression-free survival in advanced endometrial cancer (EC), results from the PHAEDRA trial (ANZGOG 1601)

5584

Background: Activity of durvalumab in patients with deficient mismatch repair (dMMR) advanced endometrial carcinoma (EC) was confirmed in the PHAEDRA trial (ANZGOG 1601). This study investigated the association between immune biomarkers and clinical outcomes in PHAEDRA. Methods: Formalin-fixed paraffin embedded sections immunohistochemically stained for PD-L1 using the Ventana platform, were with matched H&E slides scored independently by two pathologists according to the Ventana PD-L1 (SP263) algorithm for urothelial carcinoma (UC). Immune biomarkers assessed were PD-L1 staining of tumor cells (TCP) and immune cells (IC), and presence of tumor-associated immune cells (ICP). Results: Sixty-seven of the 71 patients had sufficient tumor for PD-L1 testing. AUC were 0.667, 0.726 and 0.644 for TCP, ICP and IC, respectively for predicting tumor response. Optimal cutpoints were TCP≥1%, ICP≥10% and IC≥35%. ICP≥10% achieved the highest sensitivity (53%) and specificity (82%) of the individual cutpoints. The optimal cutpoint algorithm was able to identify patients who would not respond, (sensitivity 88%, negative predictive value 92%), but had low specificity (48%) and positive predictive value (37%). Differences in PFS were found using ICP≥10% (logrank p = 0.01), compared to TCP (p = 0.25), IC (p = 0.48) and the UC algorithm (p = 0.08) (Figure 1). PFS was shorter in patients with pMMR than dMMR after adjusting for ICP (HR 2.99, 95%CI: 1.61-5.57, p < 0.001). Adjustment for MMR reduced the prognostic significance of ICP≥10% for PFS (HR 0.59, 95% CI: 0.28-1.23, p = 0.16). For OS, differences were seen for the UC algorithm (p = 0.02), but not ICP (p = 0.07), TCP (p = 0.18) or IC (p = 0.23). Similarly to PFS, adjustment for MMR reduced the prognostic significance of the UC algorithm for OS (HR: 0.53, 95% CI: 0.25-1.12, p = 0.10). Conclusions: In this exploratory analysis, ICP was more closely associated with tumor response and PFS than TCP or IC. ICP alone was better than the UC algorithm for predicting PFS. The optimum cutpoint algorithm was promising for identifying non-responders, but requires external validation. Clinical trial information: ACTRN12617000106336.

Therapeutic Drug Monitoring for Current and Investigational Inflammatory Bowel Disease Treatments

This article reviews therapeutic drug monitoring (TDM) use for current inflammatory bowel disease (IBD) treatments. IBD comprises Crohn's disease and ulcerative colitis-chronic gastrointestinal inflammatory disorders. Treatment options for moderate to severe IBD include thiopurines; methotrexate; biologic agents targeting tumor necrosis factor, α4β7 integrin or interleukins 12 and 23; and Janus kinase inhibitors. TDM is recommended to guide treatment decisions for some of these agents. Published literature concerning TDM for IBD treatments was reviewed. S.D.L., R.S., and E.V.L. drew on their clinical experiences. Polymorphisms resulting in altered enzymatic activity inactivating thiopurine metabolites can lead to myelotoxicity and hepatotoxicity. Increased elimination of biologic agents can result from immunogenicity or higher disease activity, leading to low drug concentration and consequent nonresponse or loss of response. TDM may aid treatment and dose decisions for individual patients, based on monitoring metabolite levels for thiopurines, or serum drug trough concentration and antidrug antibody levels for biologic agents. Challenges remain around TDM implementation in IBD, including the lack of uniform assay methods and guidance for interpreting results. The Janus kinase inhibitor tofacitinib is not impacted by enzyme polymorphisms or disease activity, and is not expected to stimulate the formation of neutralizing antidrug antibodies. TDM is associated with implementation challenges, despite the recommendation of its use for guiding many IBD treatments. Newer small molecules with less susceptibility to patient variability factors may fulfill the unmet need of treatment options that do not require TDM, although further study is required to confirm this.

Assessing the potential of purple phototrophic microbial community for nitrogen recycling from ammonia-rich medium and anaerobic digestate

Purple phototrophic bacteria (PPB) community, enriched from municipal wastewater, was characterized to assess their growth, tolerance, composition and potential for resource recovery from NH₄⁺-rich medium. Batch experiments were conducted in tissue culture flasks and glass bottles under anaerobic conditions with infra-red lights. PPBs showed remarkable tolerance to high concentrations of NH₄⁺-N and acetate. Below 1.5 g/L, growth was unaffected by NH₄⁺-N with optical density at 590 nm (OD₅₉₀) reaching 2.6-2.9, while they could tolerate 4.5 g/L NH₄⁺-N. Similarly, PPB growth was unaffected at acetate concentrations below 4 g/L and they could tolerate >20 g/L acetate. Taxonomic characterization showed that the community comprised of 37-52% PPBs (with 15-20% proteins) under different conditions, with Rhodobacter sp. over Rhodopseudomonas sp. dominating at higher NH₄⁺-N concentrations. PPBs showed growth and removal rates in anaerobic digestate and accumulated 26% proteins. These results indicated the potential of PPBs in resource recovery from NH₄⁺-rich wastewater.

Activity of murine surrogate antibodies for durvalumab and tremelimumab lacking effector function and the ability to deplete regulatory T cells in mouse models of cancer

Preclinical studies of PD-L1 and CTLA-4 blockade have relied heavily on mouse syngeneic tumor models with intact immune systems, which facilitate dissection of immunosuppressive mechanisms in the tumor microenvironment. Commercially developed monoclonal antibodies (mAbs) targeting human PD-L1, PD-1, and CTLA-4 may not demonstrate cross-reactive binding to their mouse orthologs, and surrogate anti-mouse antibodies are often used in their place to inhibit these immune checkpoints. In each case, multiple choices exist for surrogate antibodies, which differ with respect to species of origin, affinity, and effector function. To develop relevant murine surrogate antibodies for the anti-human PD-L1 mAb durvalumab and the anti-human CTLA-4 mAb tremelimumab, rat/mouse chimeric or fully murine mAbs engineered for reduced effector function were developed and compared with durvalumab and tremelimumab. Characterization included determination of target affinity, in vivo effector function, pharmacokinetic profile, and anti-tumor efficacy in mouse syngeneic tumor models. Results showed that anti-PD-L1 and anti-CTLA-4 murine surrogates with pharmacologic properties similar to those of durvalumab and tremelimumab demonstrated anti-tumor activity in a subset of commonly used mouse syngeneic tumor models. This activity was not entirely dependent on antibody-dependent cellular cytotoxicity, antibody-dependent cellular phagocytosis effector function, or regulatory T-cell depletion, as antibodies engineered to lack these features showed activity in models historically sensitive to checkpoint inhibition, albeit at a significantly lower level than antibodies with intact effector function.

SURG-40. SURGICAL RESECTIONS IN BROCA’S AREA DO NOT LEAD TO BROCA’S APHASIA

Brodmann’s areas 44/45 of the inferior frontal gyrus (IFG), are the seat of Broca’s area. The Western Aphasia Battery is a commonly used language battery that diagnoses aphasias based on fluency, comprehension, naming and repetition. Broca’s aphasia is defined as low fluency (0-4/10), retained comprehension (4-10/10), and variable deficits in repetition (0-7.9/10) and naming (0-8/10). The purpose of this study was to find anatomic areas associated with Broca’s aphasia. Patients who underwent resective brain surgery in the dominant hemisphere were evaluated with standardized language batteries pre-op, POD 2, and 1-month post-op. The resection cavities were outlined to construct 3D-volumes of interest. These were aligned using an affine transformation to MNI brain space. A voxel-based lesion-symptom mapping (VLSM) algorithm determined areas associated with Broca’s aphasia when incorporated into a resection. Post-op MRIs were reviewed blindly and percent involvement of pars orbitalis, triangularis and opercularis was recorded. 287 patients had pre-op and POD 2 language evaluations and 178 had 1 month post-op language evaluation. 82/287 patients had IFG involvement in resections. Only 5/82 IFG resections led to Broca’s aphasia. 11/16 patients with Broca’s aphasia at POD 2 had no involvement of IFG in resection. 35% of IFG resections were associated with non-specific dysnomia and 36% were normal. By one-month, 76% of patients had normal speech. 80% of patients with Broca’s aphasia at POD 2 improved to normal speech at 1-month, with 20% improved to non-specific dysnomia. The most highly correlated (P&lt; 0.005) anatomic areas with Broca’s aphasia were juxta-sylvian pre- and post-central gyrus extending to supramarginal gyrus. While Broca’s area resections were rarely associated with Broca’s aphasia, juxta-sylvian pre- and post-central gyri extending to the supramarginal gyrus were statistically associated with Broca’s type aphasia when resected. These results have implications for planning resective brain surgery in these presumed eloquent brain areas.

Thrombus formation on bioprosthetic aortic valves

Background

18F-GP1 is a novel radiotracer with a high affinity for the platelet glycoprotein IIb/IIIa receptor. Subclinical bioprosthetic valve thrombus has been postulated as a trigger for accelerated valve degeneration.

Purpose

To determine the feasibility of 18F-GP1 positron-emission tomography-computed tomography (PET-CT) for the detection of subclinical bioprosthetic aortic valve thrombus.

Methods

(i) Explanted degenerated aortic valve prostheses underwent histology and imaging. (ii) In a prospective observational study, patients with bioprosthetic aortic valve replacement (AVR) underwent echocardiography and 18F-GP1 PET-CT. Valves were assessed for hypoattenuating leaflet thickening (HALT), hypo-attenuation affection leaflet motion (HAM) and GP1 uptake.

Results

(i) GP1 correlated with thrombus on explanted valves (Figure). (ii) The first 6 patients (Table) were asymptomatic and had normally functioning surgical bioprostheses on echocardiography. At a median of 166 (range 122–189) days post-AVR, no patients had HALT or HAM on CT. There was avid focal GP1 uptake on the leaflets of all 6 patients which appeared most prominent along the leaflet edges (Figure). Only one patient had focal uptake in the valve frame, remote from the leaflets. In a separate cohort undergoing 18F-GP1 PET-CT for other conditions, there was no uptake on normal, native aortic valves (n=8).

Conclusion

For the first time, we demonstrate that 18F-GP1 PET-CT is a highly sensitive method of assessing platelet activation on bioprosthetic aortic valves. Despite the absence of CT evidence, early thrombus appeared to be a universal finding on recently implanted valve prostheses. The biological and clinical implications of subclinical bioprosthetic aortic valve thrombus have yet to be established.

GP1 uptake in AVR

Funding Acknowledgement

Type of funding source: Foundation. Main funding source(s): British Heart Foundation

Coronary artery echo-attenuated plaques in acute coronary syndromes: a serial intravascular ultrasound imaging study

Background

Echo attenuation of atherosclerotic plaque (EAP) identified with intravascular ultrasound (IVUS) has been shown to correlate with vulnerable plaque morphologies and their presence is predictive of future cardiovascular events. EAP have predominantly been assessed at a single time point and their natural history in the immediate post acute coronary syndrome (ACS) period remains unknown. We aimed to assess this and whether their presence correlated with a more modifiable plaque composition in the immediate post-ACS setting.

Methods

Serial IVUS imaging was performed in non-culprit vessels of 270 patients undergoing angiogram for ACS and at 3 month follow up. IVUS analysis of plaque burden and EAP was performed.

Results

Baseline characteristics are described in Table 1. EAP were present at baseline in 62 patients (23%) with these patients more likely to be male (89.1% vs. 76.7%, p=0.03) but no differences in other atherosclerotic risk factors. There was no difference in baseline plaque burden between patients with EAP and those without (Percent atheroma volume [PAV] 38.9% vs. 37.8%, p=0.32). At follow up IVUS change in PAV was not statistically significantly different between patients with baseline EAP and those without (ΔPAV 0.09% vs. −0.36%, p=0.43), and neither was there a difference in the frequency of plaque regressors (42.7% vs 50%, p=0.31). EAP had resolved in 25 patients (40%) within 3 months at the follow up IVUS. Despite contemporary post-ACS therapy 18 patients who had not had EAP present at baseline (9%) developed new EAP at the follow up IVUS.

Conclusion

EAP were present in a quarter of ACS patients and were not associated with baseline plaque burden or a more modifiable plaque phenotype. In the setting of contemporary ACS treatments the natural history of high risk IVUS plaque characteristics such as EAP is dynamic with significant change even over a 3 month period in the post ACS setting.

Funding Acknowledgement

Type of funding source: Foundation. Main funding source(s): Royal Adelaide Hospital Research Fund AR Clarkson Scholarship

Optimising rail-replacement bus services during infrastructure possessions

Providing rail-replacement bus services is a common strategy applied to handle track blockage situations in railway networks. Previously, a great deal of research has focused on modelling this strategy, particularly in the case of unplanned disruptions. However, little attention has been paid to planned disruptions where passengers know the situation in advance and the duration of the disruption is significantly longer. In this study, the authors propose a model that can be used to investigate the optimal solution of implementing a replacement bus service to minimise the impact of infrastructure possessions. The model is developed based on a discrete-event simulation technique and uses a genetic algorithm to minimise passenger delays and the cost of operations. The interaction between trains and buses is taken into account. Thus, the passenger flow within the network can be simulated in microscopic detail. Finally, an application of the proposed model is presented using the Liverpool railway network in the UK.

A Petri net approach to assess the effects of railway maintenance on track availability

The railway infrastructure includes a portfolio of assets that are subjected to degradation and failure processes due to both usage and ageing. As a consequence of degradation and failures, speed restrictions and line closures may be imposed to control the risk of derailment. Such actions have a direct impact on service, as they lead to delays and journey cancellations. Maintenance is implemented to control the state of the assets. Different maintenance strategies determine different asset conditions and performance profiles and, consequently, a different impact on service. This paper presents a simulation tool based on Petri nets, which combines degradation and maintenance processes to predict future track geometry conditions, including the probability of those failure modes leading to speed restrictions and line closures. Such a model is a valuable feature of an effective infrastructure-asset-management system that intends to support cost-effective informed decisions on railway maintenance.

Cardiovascular MRI evidence of reduced systolic function and reduced LV mass in rheumatoid arthritis: impact of disease phenotype

The accelerated risk of cardiovascular disease (CVD) in Rheumatoid Arthritis (RA) requires further study of the underlying pathophysiology and determination of the at-risk RA phenotype. Our objectives were to describe the cardiac structure and function and arterial stiffness, and association with disease phenotype in patients with established) RA, in comparison to healthy controls, as measured by cardiovascular magnetic resonance imaging (CMR). 76 patients with established RA and no history of CVD/diabetes mellitus were assessed for RA and cardiovascular profile and underwent a non-contrast 3T-CMR, and compared to 26 healthy controls. A univariable analysis and multivariable linear regression model determined associations between baseline variables and CMR-measures. Ten-year cardiovascular risk scores were increased in RA compared with controls. Adjusting for age, sex and traditional cardiovascular risk factors, patients with RA had reduced left ventricular ejection fraction (mean difference - 2.86% (- 5.17, - 0.55) p = 0.016), reduced absolute values of mid systolic strain rate (p < 0.001) and lower late/active diastolic strain rate (p < 0.001) compared to controls. There was evidence of reduced LV mass index (LVMI) (- 4.56 g/m2 (- 8.92, - 0.20), p = 0.041). CMR-measures predominantly associated with traditional cardiovascular risk factors; male sex and systolic blood pressure independently with increasing LVMI. Patients with established RA and no history of CVD have evidence of reduced LV systolic function and LVMI after adjustment for traditional cardiovascular risk factors; the latter suggesting cardiac pathology other than atherosclerosis in RA. Traditional cardiovascular risk factors, rather than RA disease phenotype, appear to be key determinants of subclinical CVD in RA potentially warranting more effective cardiovascular risk reduction programs.

Qualitative Ampule and Multitest for Beta-Lactam Residues in Fluid Milk Products: Collaborative Study

A collaborative study was performed on a rapid Bacillus stearothermophilus agar diffusion ampule method to detect low levels of penicillin G in 7 types of fluid milk products. A multitest technique for processing a large number of samples simultaneously was also studied. Slight modifications were made in the original method to establish more uniformity and to eliminate doubtful responses by specifying a confirmation procedure. Twenty samples spiked with penicillin G (0.000 to 0.008 IU/mL) and tetracycline hydrochloride were frozen and sent to 20 laboratories in the ampule test, and 16 laboratories in the multitest. Each analyst was asked to do a screening run and a confirmation run. Results were reported by color reaction and also as positive or negative for β-lactam inhibitors. The concentrations (penicillin G) where percent positive results equal 100 or not significantly less than 100 (α = 0.05) ranged from 0.005 to 0.007 IU/mi in the ampule test and from 0.004 to 0.007 IU/mL in the multitest. Both techniques have been adopted official first action.

Very early MRI responses to therapy as a predictor of later radiographic progression in early rheumatoid arthritis

Background

The objective of this study was to evaluate early changes in magnetic resonance imaging (MRI) and clinical disease activity measures as predictors of later structural progression in early rheumatoid arthritis (RA).

Methods

This was a post hoc analysis of data pooled across treatments from a three-arm (tofacitinib monotherapy, tofacitinib with methotrexate [MTX], or MTX monotherapy) trial of MTX-naïve patients with early, active RA. Synovitis, osteitis and erosions were assessed with the Outcome Measures in Rheumatology (OMERACT) RA MRI scoring system (RAMRIS) and RAMRIQ (automated quantitative RA MRI assessment system; automated RAMRIS) at months 0, 1, 3, 6 and 12. Radiographs were assessed at months 0, 6 and 12, and clinical endpoints were assessed at all timepoints. Univariate and multivariate analyses explored the predictive value of early changes in RAMRIS/RAMRIQ parameters and disease activity measures, with respect to subsequent radiographic progression.

Results

Data from 109 patients with a mean RA duration of 0.7 years were included. In univariate analyses, changes in RAMRIS erosions at months 1 and 3 significantly predicted radiographic progression at month 12 (both p <  0.01); changes in RAMRIQ synovitis and osteitis at months 1 and 3 were significant predictors of RAMRIS erosions and radiographic progression at month 12 (all p <  0.01). In subsequent multivariate analyses, RAMRIS erosion change at month 1 (p <  0.05) and RAMRIQ osteitis changes at months 1 and 3 (both p <  0.01) were significant independent predictors of radiographic progression at month 12. Univariate analyses demonstrated that changes in Clinical Disease Activity Index (CDAI) and Disease Activity Score in 28 joints, erythrocyte sedimentation rate (DAS28-4[ESR]) at months 1 and 3 were not predictive of month 12 radiographic progression.

Conclusions

MRI changes seen as early as 1 month after RA treatment initiation have the potential to better predict long-term radiographic progression than changes in disease activity measures.

Trial registration

ClinicalTrials.gov, NCT01164579.

Phase 2 study of anastrozole in recurrent estrogen (ER)/progesterone (PR) positive endometrial cancer: The PARAGON trial - ANZGOG 0903

BACKGROUND

The clinical benefit rate with aromatase inhibitors and the impact of treatment on quality of life (QOL) in endometrial cancer is unclear. We report the results of a phase 2 trial of anastrozole in endometrial cancer.

METHODS

Investigator initiated single-arm, open label trial of anastrozole, 1 mg/d in patients with ER and/or PR positive hormonal therapy naive metastatic endometrial cancer. Patients were treated until progressive disease (PD) or unacceptable toxicity. The primary end-point was clinical benefit (response + stable disease) at 3 months. Secondary endpoints include progression-free survival (PFS), quality of life (QOL) and toxicity.

RESULTS

Clinical benefit rate in 82 evaluable patients at 3 months was 44% (95% CI: 34-55%) with a best response by RECIST of partial response in 6 pts. (7%; 95% CI: 3-15%). The median PFS was 3.2 months (95% CI: 2.8-5.4). Median duration of clinical benefit was 5.6 months (95% CI: 3.0-13.7). Treatment was well tolerated. Patients who had clinical benefit at 3 months reported clinically significant improvements in several QOL domains compared to those with PD; this was evident by 2 months including improvements in: emotional functioning (39 vs 6%: p = 0.002), cognitive functioning (45 vs 19%: p = 0.021), fatigue (47 vs 19%: p = 0.015) and global health status (42 vs 9%: p = 0.003).

CONCLUSION

Although the objective response rate to anastrozole was relatively low, clinical benefit was observed in 44% of patients with ER/PR positive metastatic endometrial cancer and associated with an improvement in QOL.