Taspine is a natural product that suppresses P2X4 receptor activity via phosphoinositide 3-kinase inhibition

BACKGROUND & PURPOSE

P2X4 is a ligand-gated cation channel activated by extracellular ATP, involved in neuropathic pain, inflammation and arterial tone.

EXPERIMENTAL APPROACH

Natural products were screened against human or mouse P2X4 activity using fura-2 loaded 1321N1 cells for measurement of intracellular Ca²⁺ responses; whole-cell currents were measured by patch clamp electrophysiological. Human primary macrophage chemokine release was used to assess effect of taspine on inflammatory cell function. An enzymatic assay was performed to assess the effect of taspine on recombinant PI3-kinase.

KEY RESULTS

A natural product screen identified taspine as an inhibitor of human P2X4 activity. Taspine inhibits human and mouse P2X4-mediated Ca²⁺ influx in 1321N1 cells expressing receptors (IC₅₀ 1.6±0.4 μM and 1.6±0.3 μM, respectively), but lacked activity at human P2X2, P2X3, P2X2/3 and P2X7 receptors. Taspine inhibited the maximal response at human and mouse P2X4 but had no effect on ATP potency. Taspine has a slow onset rate (~15 mins for half-maximal inhibition), irreversible over 30 minutes of washout. Taspine inhibits P2X4-mediated Ca²⁺ signalling in mouse BV-2 microglia cells and human primary macrophage. Taspine inhibited P2X4-mediated CXCL5 secretion in human primary macrophage. Taspine reversed ivermectin-induced potentiation of P2X4 currents in 1321N1 stably expressing cells. The known PI3-kinase inhibitor LY294002 mimicked the properties of taspine on P2X4-mediated Ca²⁺ influx and whole-cell currents. Taspine directly inhibited the enzymatic activity of recombinant PI3-kinase in a competitive manner.

CONCLUSIONS AND IMPLICATIONS

Taspine is a novel natural product P2X4 inhibitor, mediating its effect through PI3-kinase inhibitor rather than receptor antagonism. Taspine can inhibit the pro-inflammatory signalling by P2X4 in human primary macrophage.

Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set

BACKGROUND

A multi-cancer early detection (MCED) test used to complement existing screening could increase the number of cancers detected through population screening, potentially improving clinical outcomes. The Circulating Cell-free Genome Atlas study (CCGA; NCT02889978) was a prospective, case-controlled, observational study and demonstrated that a blood-based MCED test utilizing cell-free DNA (cfDNA) sequencing in combination with machine learning could detect cancer signals across multiple cancer types and predict cancer signal origin (CSO) with high accuracy. The objective of this third and final CCGA substudy was to validate an MCED test version further refined for use as a screening tool.

PATIENTS AND METHODS

This pre-specified substudy included 4077 participants in an independent validation set (cancer: n = 2823; non-cancer: n = 1254, non-cancer status confirmed at year-one follow-up). Specificity, sensitivity, and CSO prediction accuracy were measured.

RESULTS

Specificity for cancer signal detection was 99.5% [95% confidence interval (CI): 99.0% to 99.8%]. Overall sensitivity for cancer signal detection was 51.5% (49.6% to 53.3%); sensitivity increased with stage [stage I: 16.8% (14.5% to 19.5%), stage II: 40.4% (36.8% to 44.1%), stage III: 77.0% (73.4% to 80.3%), stage IV: 90.1% (87.5% to 92.2%)]. Stage I-III sensitivity was 67.6% (64.4% to 70.6%) in 12 pre-specified cancers that account for approximately two-thirds of annual USA cancer deaths and was 40.7% (38.7% to 42.9%) in all cancers. Cancer signals were detected across >50 cancer types. Overall accuracy of CSO prediction in true positives was 88.7% (87.0% to 90.2%).

CONCLUSION

In this pre-specified, large-scale, clinical validation substudy, the MCED test demonstrated high specificity and accuracy of CSO prediction and detected cancer signals across a wide diversity of cancers. These results support the feasibility of this blood-based MCED test as a complement to existing single-cancer screening tests.

CLINICAL TRIAL NUMBER

NCT02889978.

Role of age, gender and marital status in prognosis for adults with depression: An individual patient data meta-analysis

AIMS

To determine whether age, gender and marital status are associated with prognosis for adults with depression who sought treatment in primary care.

METHODS

Medline, Embase, PsycINFO and Cochrane Central were searched from inception to 1st December 2020 for randomised controlled trials (RCTs) of adults seeking treatment for depression from their general practitioners, that used the Revised Clinical Interview Schedule so that there was uniformity in the measurement of clinical prognostic factors, and that reported on age, gender and marital status. Individual participant data were gathered from all nine eligible RCTs (N = 4864). Two-stage random-effects meta-analyses were conducted to ascertain the independent association between: (i) age, (ii) gender and (iii) marital status, and depressive symptoms at 3-4, 6-8, and 9-12 months post-baseline and remission at 3-4 months. Risk of bias was evaluated using QUIPS and quality was assessed using GRADE. PROSPERO registration: CRD42019129512. Pre-registered protocol https://osf.io/e5zup/.

RESULTS

There was no evidence of an association between age and prognosis before or after adjusting for depressive 'disorder characteristics' that are associated with prognosis (symptom severity, durations of depression and anxiety, comorbid panic disorderand a history of antidepressant treatment). Difference in mean depressive symptom score at 3-4 months post-baseline per-5-year increase in age = 0(95% CI: -0.02 to 0.02). There was no evidence for a difference in prognoses for men and women at 3-4 months or 9-12 months post-baseline, but men had worse prognoses at 6-8 months (percentage difference in depressive symptoms for men compared to women: 15.08% (95% CI: 4.82 to 26.35)). However, this was largely driven by a single study that contributed data at 6-8 months and not the other time points. Further, there was little evidence for an association after adjusting for depressive 'disorder characteristics' and employment status (12.23% (-1.69 to 28.12)). Participants that were either single (percentage difference in depressive symptoms for single participants: 9.25% (95% CI: 2.78 to 16.13) or no longer married (8.02% (95% CI: 1.31 to 15.18)) had worse prognoses than those that were married, even after adjusting for depressive 'disorder characteristics' and all available confounders.

CONCLUSION

Clinicians and researchers will continue to routinely record age and gender, but despite their importance for incidence and prevalence of depression, they appear to offer little information regarding prognosis. Patients that are single or no longer married may be expected to have slightly worse prognoses than those that are married. Ensuring this is recorded routinely alongside depressive 'disorder characteristics' in clinic may be important.

Nurses' and physicians' experiences with diabetes consultations and the use of dialogue tools in the DiaPROM pilot trial: A qualitative study

AIM

To explore nurses' and physicians' experiences with diabetes consultations in general and the use of dialogue tools in the Diabetes Patient-Related Outcome Measures (DiaPROM) pilot trial.

METHODS

We used a qualitative explorative design by conducting semi-structured in-depth interviews with five nurses and nine physicians engaged in the DiaPROM pilot trial. The pilot trial aimed to test an intervention utilizing the patient-reported Problem Areas In Diabetes (PAID) scale and person-centred communication skills as dialogue tools in clinical consultations with adults with type 1 diabetes. We used thematic analysis to analyse the data.

RESULTS

We generated three themes (each including two subthemes) from the analysis of participants' experiences: (1) 'Conflicting demands and priorities' (subthemes: 'Balancing guideline recommendations with patients' main concerns' and 'Experiencing that patients need more support to disclose their emotional concerns'); (2) 'Insights about using dialogue tools' (subthemes: 'The benefits and challenges of using the PAID as a dialogue tool' and 'Communication techniques are helpful'); and (3) 'Facilitating new interventions is challenging' (subthemes: 'Unclear roles and responsibilities in the multidisciplinary teamwork' and 'The capacity sets the limit, not the willingness').

CONCLUSIONS

Our findings indicate that the physicians and nurses experienced substantial challenges related to time and resources in the use of dialogue tools to support people's emotional concerns in clinical diabetes consultations. Thus, there is a need for healthcare organizations to adjust priorities to focus on the emotional burden of diabetes if the multidisciplinary diabetes teams are to successfully integrate psychosocial support into routine diabetes care.

The contribution of depressive 'disorder characteristics' to determinations of prognosis for adults with depression: an individual patient data meta-analysis

BACKGROUND

This study aimed to investigate general factors associated with prognosis regardless of the type of treatment received, for adults with depression in primary care.

METHODS

We searched Medline, Embase, PsycINFO and Cochrane Central (inception to 12/01/2020) for RCTs that included the most commonly used comprehensive measure of depressive and anxiety disorder symptoms and diagnoses, in primary care depression RCTs (the Revised Clinical Interview Schedule: CIS-R). Two-stage random-effects meta-analyses were conducted.

RESULTS

Twelve (n = 6024) of thirteen eligible studies (n = 6175) provided individual patient data. There was a 31% (95%CI: 25 to 37) difference in depressive symptoms at 3-4 months per standard deviation increase in baseline depressive symptoms. Four additional factors: the duration of anxiety; duration of depression; comorbid panic disorder; and a history of antidepressant treatment were also independently associated with poorer prognosis. There was evidence that the difference in prognosis when these factors were combined could be of clinical importance. Adding these variables improved the amount of variance explained in 3-4 month depressive symptoms from 16% using depressive symptom severity alone to 27%. Risk of bias (assessed with QUIPS) was low in all studies and quality (assessed with GRADE) was high. Sensitivity analyses did not alter our conclusions.

CONCLUSIONS

When adults seek treatment for depression clinicians should routinely assess for the duration of anxiety, duration of depression, comorbid panic disorder, and a history of antidepressant treatment alongside depressive symptom severity. This could provide clinicians and patients with useful and desired information to elucidate prognosis and aid the clinical management of depression.

Cardiac magnetic resonance derived left atrial strain after ST-elevation myocardial infarction: an independent prognostic indicator

Background

The prognostic value of cardiac magnetic resonance (CMR) derived left atrial (LA) strain, ejection fraction (LAEF) and indexed volumes (LAVI_max and LAVI_min) after ST-elevation myocardial infarction (STEMI) remains controversial. The aim of this study was to assess the relationship between LA function and major adverse cardiovascular events (MACE) after STEMI.

Methods

A total of 202 prospectively recruited patients who underwent CMR at median day 4 after STEMI had complete CMR data for feature tracking assessment. LA reservoir and booster strain were quantified based on the average of three independently repeated measurements.

Results

MACE occurred in 35 patients during a median follow up of 607 days. Patients with MACE had lower median LA reservoir strain (18.9% vs. 29.4%, P<0.001), LA booster strain (9.4% vs. 13.0%, P=0.002) and LAEF (41.5% vs. 49.2%, P<0.001) than patients without MACE. Kaplan-Meier analyses demonstrated a difference in MACE between high- and low-risk groups for LA reservoir strain (cutoff 19.2%, P<0.001), LA booster strain (cutoff 9.7%, P<0.001) and LAEF (cutoff 38.5%, P<0.001). The AUC increased from 0.713 (95% CI: 0.608-0.818) for LVEF to 0.775 (95% CI: 0.680-0.870) when LA reservoir strain was added to LVEF (P=0.047). Univariate Cox regression analysis showed that all LA parameters had a significant effect on MACE, while multivariate analysis found LA reservoir strain was an independent predictor of MACE (HR 0.905; 95% CI: 0.843-0.972, P=0.006).

Conclusions

CMR derived LA reservoir strain independently predicted MACE after STEMI when adjusted for standard risk measures.

English Devolution and the Covid-19 Pandemic: Governing Dilemmas in the Shadow of the Treasury

This article explores the question of devolution in the light of the Covid-19 pandemic's impact on English local government. Criticism of the government's handling of the crisis is widespread and tends to focus on the highly centralised nature of the British state. Here, we attribute the challenges faced by regional and local government in responding to the pandemic primarily to the asymmetric nature of power relations that characterise financial planning and control mechanisms, devised and overseen by the Treasury. We argue that the ongoing crisis underlines the need for a democratic form of devolution-including further fiscal powers for regional and local government-to support the economic recovery. In a context of increasing fiscal uncertainty, the Treasury should seek to unlock the existing powers of local leaders by reforming centralised budgetary constraints and taking accountability and monitoring mechanisms closer to citizens.

Cardiac magnetic resonance derived left atrial function after ST-elevation myocardial infarction: an important prognostic indicator

Background

The prognostic value of cardiac magnetic resonance (CMR) derived left atrial (LA) strain, ejection fraction (LAEF) and volumes (LAVImax and LAVImin) after STEMI is controversial.

Aim

To assess the relationship between LA function and major adverse cardiovascular events (MACE) within 2 years after STEMI.

Methods

We prospectively recruited 213 consecutive STEMI patients who underwent CMR at median day 4. 202 patients had complete CMR data for feature tracking assessment. LA reservoir and booster strain were quantified by one blinded observer based on the average of three independently repeated measurements from two- and four-chamber views. MACE was a composite of all-cause mortality, reinfarction, new or worsening heart failure, stroke and sustained ventricular arrhythmias.

Results

The cohort included 174 (86.1%) males, median age 56 years (IQR 50–65 years). MACE occurred in 35 (17.3%) patients. Patients with MACE had lower median reservoir strain (18.9 vs 29.4%, p&lt;0.001), booster strain (9.4 vs 13.0%, p=0.002) and LAEF (41.5 vs 49.2%, p&lt;0.001), and higher LAVImax (43.5 vs 38.6ml/m2, p=0.019) and LAVImin (23.7 vs 19.3ml/m2, p&lt;0.001) than patients without MACE. Patients with reduced left ventricular ejection fraction (LVEF≤40%) had lower median reservoir strain (22.5 vs 30.1%, p&lt;0.001), booster strain (11.3 vs 12.9%, p=0.021) and LAEF (43.3 vs 50.3%, p&lt;0.001) than patients with LVEF&gt;40%. AUC analyses showed reservoir strain (AUC 0.769; 95% CI 0.676–0.861, p&lt;0.001), booster strain (AUC 0.684; 95% CI 0.558–0.810, p=0.002) and LAEF (AUC 0.698; 95% CI 0.596–0.800, p&lt;0.001) predicted MACE. Kaplan Meier analyses showed a difference in MACE between high- and low-risk groups for reservoir strain (cutoff 21%, p&lt;0.001), booster strain (cutoff 9.6%, p&lt;0.001) and LAEF (cutoff 41%, p&lt;0.001). Univariate Cox regression analyses showed all LA parameters had a significant effect on MACE, while multivariate analyses found additional prognostic utility using reservoir strain.

Conclusion

LA reservoir strain provided incremental prognostic value beyond established clinical and CMR parameters for predicting MACE after STEMI.

Kaplan Meier analyses

Funding Acknowledgement

Type of funding source: None

Emergency department management of traumatic brain injuries: A resource tiered review

Introduction

Traumatic brain injury is a leading cause of death and disability globally with an estimated African incidence of approximately 8 million cases annually. A person suffering from a TBI is often aged 20–30, contributing to sustained disability and large negative economic impacts of TBI. Effective emergency care has the potential to decrease morbidity from this multisystem trauma.

Objectives

Identify and summarize key recommendations for emergency care of patients with traumatic brain injuries using a resource tiered framework.

Methods

A literature review was conducted on clinical care of brain-injured patients in resource-limited settings, with a focus on the first 48 h of injury. Using the AfJEM resource tiered review and PRISMA guidelines, articles were identified and used to describe best practice care and management of the brain-injured patient in resource-limited settings.

Key recommendations

Optimal management of the brain-injured patient begins with early and appropriate triage. A complete history and physical can identify high-risk patients who present with mild or moderate TBI. Clinical decision rules can aid in the identification of low-risk patients who require no neuroimaging or only a brief period of observation. The management of the severely brain-injured patient requires a systematic approach focused on the avoidance of secondary injury, including hypotension, hypoxia, and hypoglycaemia. Most interventions to prevent secondary injury can be implemented at all facility levels. Urgent neuroimaging is recommended for patients with severe TBI followed by consultation with a neurosurgeon and transfer to an intensive care unit. The high incidence and poor outcomes of traumatic brain injury in Africa make this subject an important focus for future research and intervention to further guide optimal clinical care.

Behavioural activation therapy for depression in adults

BACKGROUND

Behavioural activation is a brief psychotherapeutic approach that seeks to change the way a person interacts with their environment. Behavioural activation is increasingly receiving attention as a potentially cost-effective intervention for depression, which may require less resources and may be easier to deliver and implement than other types of psychotherapy.

OBJECTIVES

To examine the effects of behavioural activation compared with other psychological therapies for depression in adults. To examine the effects of behavioural activation compared with medication for depression in adults. To examine the effects of behavioural activation compared with treatment as usual/waiting list/placebo no treatment for depression in adults.

SEARCH METHODS

We searched CCMD-CTR (all available years), CENTRAL (current issue), Ovid MEDLINE (1946 onwards), Ovid EMBASE (1980 onwards), and Ovid PsycINFO (1806 onwards) on the 17 January 2020 to identify randomised controlled trials (RCTs) of 'behavioural activation', or the main elements of behavioural activation for depression in participants with clinically diagnosed depression or subthreshold depression. We did not apply any restrictions on date, language or publication status to the searches. We searched international trials registries via the World Health Organization's trials portal (ICTRP) and ClinicalTrials.gov to identify unpublished or ongoing trials.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) of behavioural activation for the treatment of depression or symptoms of depression in adults aged 18 or over. We excluded RCTs conducted in inpatient settings and with trial participants selected because of a physical comorbidity. Studies were included regardless of reported outcomes.

DATA COLLECTION AND ANALYSIS

Two review authors independently screened all titles/abstracts and full-text manuscripts for inclusion. Data extraction and 'Risk of bias' assessments were also performed by two review authors in duplicate. Where necessary, we contacted study authors for more information.

MAIN RESULTS

Fifty-three studies with 5495 participants were included; 51 parallel group RCTs and two cluster-RCTs. We found moderate-certainty evidence that behavioural activation had greater short-term efficacy than treatment as usual (risk ratio (RR) 1.40, 95% confidence interval (CI) 1.10 to 1.78; 7 RCTs, 1533 participants), although this difference was no longer evident in sensitivity analyses using a worst-case or intention-to-treat scenario. Compared with waiting list, behavioural activation may be more effective, but there were fewer data in this comparison and evidence was of low certainty (RR 2.14, 95% CI 0.90 to 5.09; 1 RCT, 26 participants). No evidence on treatment efficacy was available for behavioural activation versus placebo and behavioural activation versus no treatment. We found moderate-certainty evidence suggesting no evidence of a difference in short-term treatment efficacy between behavioural activation and CBT (RR 0.99, 95% CI 0.92 to 1.07; 5 RCTs, 601 participants). Fewer data were available for other comparators. No evidence of a difference in short term-efficacy was found between behavioural activation and third-wave CBT (RR 1.10, 95% CI 0.91 to 1.33; 2 RCTs, 98 participants; low certainty), and psychodynamic therapy (RR 1.21, 95% CI 0.74 to 1.99; 1 RCT,60 participants; very low certainty). Behavioural activation was more effective than humanistic therapy (RR 1.84, 95% CI 1.15 to 2.95; 2 RCTs, 46 participants; low certainty) and medication (RR 1.77, 95% CI 1.14 to 2.76; 1 RCT; 141 participants; moderate certainty), but both of these results were based on a small number of trials and participants. No evidence on treatment efficacy was available for comparisons between behavioural activation versus interpersonal, cognitive analytic, and integrative therapies. There was moderate-certainty evidence that behavioural activation might have lower treatment acceptability (based on dropout rate) than treatment as usual in the short term, although the data did not confirm a difference and results lacked precision (RR 1.64, 95% CI 0.81 to 3.31; 14 RCTs, 2518 participants). Moderate-certainty evidence did not suggest any difference in short-term acceptability between behavioural activation and waiting list (RR 1.17, 95% CI 0.70 to 1.93; 8 RCTs. 359 participants), no treatment (RR 0.97, 95% CI 0.45 to 2.09; 3 RCTs, 187 participants), medication (RR 0.52, 95% CI 0.23 to 1.16; 2 RCTs, 243 participants), or placebo (RR 0.72, 95% CI 0.31 to 1.67; 1 RCT; 96 participants; low-certainty evidence). No evidence on treatment acceptability was available comparing behavioural activation versus psychodynamic therapy. Low-certainty evidence did not show a difference in short-term treatment acceptability (dropout rate) between behavioural activation and CBT (RR 1.03, 95% CI 0.85 to 1.25; 12 RCTs, 1195 participants), third-wave CBT (RR 0.84, 95% CI 0.33 to 2.10; 3 RCTs, 147 participants); humanistic therapy (RR 1.06, 95% CI 0.20 to 5.55; 2 RCTs, 96 participants) (very low certainty), and interpersonal, cognitive analytic, and integrative therapy (RR 0.84, 95% CI 0.32 to 2.20; 4 RCTs, 123 participants). Results from medium- and long-term primary outcomes, secondary outcomes, subgroup analyses, and sensitivity analyses are summarised in the text.

AUTHORS' CONCLUSIONS

This systematic review suggests that behavioural activation may be more effective than humanistic therapy, medication, and treatment as usual, and that it may be no less effective than CBT, psychodynamic therapy, or being placed on a waiting list. However, our confidence in these findings is limited due to concerns about the certainty of the evidence. We found no evidence of a difference in short-term treatment acceptability (based on dropouts) between behavioural activation and most comparison groups (CBT, humanistic therapy, waiting list, placebo, medication, no treatment or treatment as usual). Again, our confidence in all these findings is limited due to concerns about the certainty of the evidence. No data were available about the efficacy of behaioural activation compared with placebo, or about treatment acceptability comparing behavioural activation and psychodynamic therapy, interpersonal, cognitive analytic and integrative therapies. The evidence could be strengthened by better reporting and better quality RCTs of behavioural activation and by assessing working mechanisms of behavioural activation.

OP0196-PARE #ARTHRITISATWORK: USING TWITTER TO ENGAGE THE INTERNATIONAL ARTHRITIS COMMUNITY

Background:

In 2019, EULAR launched the #Time2Work campaign [1] to raise awareness of the impact of rheumatic and musculoskeletal diseases on individuals, society, and the economy. Building on this theme, the Canadian Arthritis Patient Alliance (CAPA) developed a social media campaign and Twitter chat in collaboration with international patient advocates and organizations. The Twitter chat built upon CAPA’s successful development of workplace resources for people living with arthritis [2].

Objectives:

To deliver an international #ArthritisAtWork social media campaign on Twitter, in support of the #Time2Work campaign.

Methods:

A one-hour Twitter Chat was held on World Arthritis Day (October 12, 2019) on arthritis in the workplace (#ArthritisAtWork) from 18:00 to 19:00 UTC. The chat was hosted by CAPA and co-hosted by Simon Stones, a patient advocate from the United Kingdom (UK) and CreakyJoints, patient-driven arthritis organization in the United States (US). The Twitter Chat questions were co-developed in advance by the hosts, and blog posts were shared from CAPA’s website. Each host also promoted the Twitter Chat through their websites, newsletters and online communities. A social media analytical tool, Symplur, was used to measure audience engagement using the hashtag #ArthritisAtWork. In addition, pertinent Tweets before, during, and after the chat were obtained. The analysis of themes was undertaken to identify common issues and questions.

Results:

One hundred and ten users participated in the Twitter chat between 17:20 and 19:20 UTC. Participants included people living with arthritis, researchers, patient organizations, health information outlets and academic institutions. During this period, 565 tweets were shared between participants in Australia, Canada, Ireland, Spain, UK and US. There were 3.352 million Twitter impressions. This represents the number of times a tweet appears to users in either their timeline or search results. Emergent themes of the analysis include:

Conclusion:

The social media campaign was successful in reaching a diverse audience and supporting the #Time2Work campaign. Social media tools can provide an important social support for people living with arthritis as they navigate workplace challenges. It also offers a more contemporary platform to engage the international community on issues of common interest. Working together, internationally helps expand reach and reduce barriers in communication. Research can be conducted to measure potential behavior change that leverages digital social support for people living with arthritis.

References:

[1]EULAR (2019). Press release “EULAR launches Time2Work campaign to highlight the importance of keeping people with rheumatic and musculoskeletal diseases in work. Available from:https://www.eular.org/sysModules/obxContent/files/www.eular.2015/1_42291DEB-50E5-49AE-5726D0FAAA83A7D4/time2work_campaign_press_release_final.pdf2. CAPA (2019). Arthritis in the Workplace: Resources for Patients by Patients. Available from:http://arthritispatient.ca/arthritis-in-the-workplace-resources-for-patients-by-patients/

Disclosure of Interests:

Laurie Proulx Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Speakers bureau: I have provided speaking services to Sanofi and Eli Lilly. These engagements do not relate to this abstract., Simon Stones Consultant of: I have been a paid consultant for Envision Pharma Group and Parexel. This does not relate to this abstract., Speakers bureau: I have been a paid speaker for Actelion and Janssen. These do not relate to this abstract., Joseph Coe: None declared, Dawn Richards Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Consultant of: Dawn has done small consulting projects on patient engagement for companies., Speakers bureau: Dawn has been a paid speaker for several companies., Linda Wilhelm Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Nathalie Robertson Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Janet Gunderson Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Alexandra Sirois Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma., Annette McKinnon Grant/research support from: Sources of grants and support received by the Canadian Arthritis Patient Alliance (including in-kind support) in the last two years include: AbbVie Canada, Alliance for Safe Biologic Medicines, Amgen Canada, Arthritis Alliance of Canada, The Arthritis Society, Best Medicines Coalition, CADTH, Canadian Rheumatology Association, Eli Lilly Canada, European League Against Rheumatism, Janssen Canada, Manulife, Novartis Canada, Ontario Rheumatology Association, Pfizer Canada (including Pfizer Hospira), Purdue Pharma Canada, Sanofi, and UCB Pharma.

AB0488 CAN A GCA RISK STRATIFICATION SCORE BE HELPFUL IN CLINICAL PRACTICE?

Background:

Giant cell arteritis (GCA) is the most common type of large vessel vasculitis. Typically it presents in patients over the age of 50 with a combination of temporal headaches, scalp tenderness, jaw claudication, raised inflammatory markers and visual disturbance. The diagnosis of GCA is often challenging and there is a difficult balance of over and under investigation. There have been several proposed scoring systems to help clinicians risk stratify patients who may present with suspected GCA. One such scoring system, published in 2017, showed clinical utility in a large international multi-centre study. Following analysis by logistic regression on data from 530 biopsies, Ing et al. developed a parsimonious prediction model comprising 5 candidate criteria: age, jaw claudication, ischemia-related loss of visual acuity, platelet count and logCRP (Figure 1).[1]

Objectives:

Increasingly, ultrasound doppler imaging is recognised and accepted as satisfactory means of confirming the diagnosis of GCA, with the presence of the halo sign characteristic for GCA. The aim of our study was to determine whether this GCA prediction model accurately predicts positive temporal artery biopsies in a large, real world UK cohort. In addition, we assessed whether this model accurately predicts positive temporal artery ultrasounds.

Methods:

A retrospective cohort study was performed using electronic medical records of patients referred for temporal artery biopsy (TAB) and temporal artery ultrasound (USTA) for suspected GCA. All TAB performed at the Royal Wolverhampton NHS Trust between June 2014 - June 2018 and all USTA performed between January 2015 - January 2019 were analysed. Patients who undergo USTA for suspected GCA at our centre routinely have bilateral temporal and axillary arteries scanned. Patients were excluded if they already had a previous diagnosis of GCA (and the clinical question was suspected flare), or if there was insufficient information available.

Results:

The total number of patients who underwent a confirmatory diagnostic test (either TAB or USTA) for suspected GCA was 187. Thirteen of these patients met the exclusion criteria, the remaining 174 patients were included for analysis. 126/174 patients underwent a TAB, 63/174 had an USTA. 15/174 had both these were included in the USS cohort because for all these patients the ultrasound was the first diagnostic test performed (Table 1). Our results appear to closely mirror the original multi-centre results with regards to prediction of biopsy positive GCA, with the centiles closely following those in the inception cohort. 0% of the ‘low’ risk probability biopsy cohort were misclassified - none had a positive biopsy. However, 8% of the ‘low’ risk probability ultrasound cohort were misclassified - 2 had a positive ultrasound.

Table 1.

Investigation outcome summary

Total number of patients who underwent TAB +/or USS TA for?GCA187 - 13 patients rejectedN = 174TAB = 111USS = 63Of these 15 patients hadbothUSS & TABPositive TAB =31 (28%)Negative TAB =80 (72%)Positive USS =24 (38%)Negative USS =39 (62%)

Conclusion:

Our study, highlights that a probability score for GCA derived from a large multi-centre cohort of patients who were biopsy positive, predicts ultrasound positivity with similar accuracy. Our work reveals that scoring systems are not infallible but can be helpful in guiding clinical decision making

References:

[1]Ing EB, Lahaie Luna G, Toren A, et al. Multivariable prediction model for suspected giant cell arteritis: development and validation.Clin Ophthalmol. 2017;11:2031–2042. Published 2017 Nov 22.

Acknowledgments:

Many thanks to the Rheumatology, Opthalmology & Ultrasound teams at Royal Wolverhampton NHS Trust

Disclosure of Interests:

None declared

Pressurised disc refining of wheat straw as a pre-treatment approach for agricultural residues: A preliminary assessment of energy consumption and fibre composition

This preliminary study assesses a potential pre-treatment approach for agricultural residues, in order to improve enzyme access and cellulose digestibility that increased with increasing refining pressure. Wheat straw, an important European agri-residue, was chopped then refined at pilot-scale under different pressures (4-10 bar) and two refiner plate configurations. The most energy efficient runs used 0.94-0.96 kWh electricity; 8.9-11.0 MJ heat per kg dry matter fibre. A scaling factor specific to the machinery used in the trial suggested that wheat straw could be refined using approximately 160 kWh electricity and 980-1900 MJ heat per tonne DM yield at commercial-scale. Hemicellulose content in wheat straw at 31.8% decreased to the lowest level of 14.6% after refining at 10 bar. Pressurised disc refining did not appear to produce significant quantities of acetic acid, a key fermentation inhibitor, that could limit microbial fermentation.

Exascale applications: skin in the game

As noted in Wikipedia, skin in the game refers to having 'incurred risk by being involved in achieving a goal', where 'skin is a synecdoche for the person involved, and game is the metaphor for actions on the field of play under discussion'. For exascale applications under development in the US Department of Energy Exascale Computing Project, nothing could be more apt, with the skin being exascale applications and the game being delivering comprehensive science-based computational applications that effectively exploit exascale high-performance computing technologies to provide breakthrough modelling and simulation and data science solutions. These solutions will yield high-confidence insights and answers to the most critical problems and challenges for the USA in scientific discovery, national security, energy assurance, economic competitiveness and advanced healthcare. This article is part of a discussion meeting issue 'Numerical algorithms for high-performance computational science'.

Interlaboratory Study of a Thermospray-Liquid Chromatographic/Mass Spectrometric Method for Selected N-Methyl Carbamates, N-Methyl Carbamoyloximes, and Substituted Urea Pesticides

A thermospray-liquid chromatographic/mass spectrometric (TS-LC/MS) method was evaluated in an interlaboratory study for determining 3 N-methyl carbamates (bendiocarb, carbaryl, and carbofuran), 3 N-methyl carbamoyloximes (aldicarb, methomyl, and oxamyl), 2 substituted urea pesticides (diuron and linuron), and 1 ester of a substituted carbamic acid (carbendazim). The purpose of this study was to establish whether these 9 compounds can be reliably detected and quantitated with this method, and to establish the interlaboratory precision and accuracy of the method with currently available instrumentation. The study design was based on AOAC INTERNATIONAL’S blind replicate design with balanced replicates. The samples consisted of solutions of the 9 test compounds in methanol at 3 concentrations that were unknown to the participating laboratories and that covered the linear range of the method. Nine volunteer laboratories participated in the study. Linear regression equations are presented that calculate the accuracy of the method, i.e., the percent recovery of each of the 9 compounds at any concentration within the range of concentrations tested (5–90 (μg/mL for each compound, except carbendazim, for which the range was 1.25–22.5 μg/mL). The intra laboratory precisions of the TS-LC/MS method ranged from 6.5 to 33.1 % relative standard deviation, depending on the compound. The interlaboratory method precisions ranged from 29.8 to 98.2% relative standard deviation over the concentration range tested. Analysis of variance indicates that for all compounds tested, the variation from laboratory to laboratory is greater than that attributed to analytical error displayed within laboratories. There are many operational parameters that could contribute to interlaboratory variability; one of them, the thermospray tip temperature, can play a major role in adduct formation and ion fragmentation in the case of thermally labile carbamate pesticides and, therefore, needs to be monitored and controlled carefully. The correlation of mass spectral data with the thermospray tip temperature was attempted using principal component analysis.

P309 The use of echocardiographic parameters to predict clinical outcomes in AL-amyloidosis cardiomyopathy

Background

AL-amyloidosis has a rapid clinical progression, with cardiac involvement associated with a particularly poor prognosis. Cardiac amyloidosis is diagnosed by either invasive biopsy or conventional echocardiographic parameters such as increased wall thickness, in the absence of other causes. More recently, novel parameters including 2D longitudinal strain have demonstrated diagnostic utility in a range of infiltrative cardiomyopathies including cardiac amyloidosis.

Aim/Method: We sought to evaluate traditional and novel echocardiographic parameters in their ability to predict adverse outcomes in a cohort of AL-amyloid patients. 80 patients who had transthoracic echocardiograms at a single centre were included. Comprehensive echocardiographic assessment was performed, including left ventricular ejection fraction (LVEF), LV Global Longitudinal Strain (GLS), LV mass (indexed to BSA). The primary endpoint was a composite of of major adverse cardiac events (MACE) and all-cause mortality, that was assessed by interrogation of the medical records on a specified censor date.

Results

At a mean follow-up (time from echo to censor date) of 5.4 ± 2.6years, 38/80 (47.5%) of patients experienced the primary endpoint of MACE or death, of which 25/80 (31%) were deaths. LVEF (59 ± 5.6%vs56 ± 6.4%, p = 0.04), GLS (17.4 ± 3.9%vs14.8 ± 4.9%, p = 0.01) basal longitudinal strain (12.3 ± 3.2%vs9.6 ± 3.9%, p = 0.002), indexed LV mass (107 ± 36g/m2vs130 ± 34g/m2, p = 0.06) and E/E’ (13.7 ± 4.9vs20.6 ± 9.6, p &lt; 0.001) were all significantly different between patients who experienced the primary endpoint and those that didn’t. The strongest predictors of outcome were E/E’ (AUC 0.74), LV mass (AUC 0.73) and the ratio GLS:LV mass (AUC 0.73). An E/E’ of 15 had a sensitivity of 71% and specificity of 69%, while an indexed LV mass of 108 had a sensitivity and specificity of 74% and 67% respectively. GLS to LV mass as a cutoff of 0.16 had a sensitivity and specificity of 70% and 69% respectively.

Conclusion

In a cohort of 80 patients with AL-amyloid cardiomyopathy, almost half (47.5%) reached the primary composite endpoint. Diastolic dysfunction as expressed as E/E’, and LV mass were the most powerful predictors of outcome, while global longitudinal strain and LV basal strain were also reduced, and showed superiority over LV ejection fraction in predicting prognosis.

P1543 The assessment of regional myocardial strain in classifying amyloid cardiomyopathy

Background

An infiltrative cardiomyopathy is a common manifestation of AL-amyloidosis, with cardiac involvement associated with a poor prognosis. Wild-type transthyretin amyloidosis (wt-TTR), is a distinct clinical entity occurring predominantly in men &gt; 65 yrs, that has gained interest recently due to novel treatment options. Regional strain analysis has been shown to discriminate both forms of cardiac amyloidosis from other causes of concentric left ventricular hypertrophy, with a characteristic pattern of ‘apical sparing’. Due to the significant difference in both the course of the disease and treatment options between groups, a non-invasive echocardiographic method of determining subtype would be valuable.

Aim/Method: We sought to compare traditional and novel echocardiographic parameters in a cohort of AL ( n = 80) and wild type (wt-TTR) amyloid ( n = 32) patients. All amyloid patients underwent comprehensive transthoracic echocardiography, including both conventional parameters and LV longitudinal strain. Further novel parameters were computed including the ratio of global longitudinal strain (GLS) to LV ejection fraction (LVEF), as well as GLS to indexed LV mass.

Results

wt-TTR patients had significantly greater LV mass (176 ± 59g/m2vs118 ± 37g/m2, p &lt; 0.001), and worse diastolic dysfunction as expressed as E/E’ (21.5 ± 11vs17 ± 8, p = 0.04). LVEF was significantly lower in wt-TTR patients however remained in the normal range in both groups (53 ± 6%vs57 ± 6%, p = 0.001), whilst GLS was significantly reduced compared to AL-amyloid patients (11.5 ± 3.4%vs16.2 ± 4.6%, p &lt; 0.001). LVEF:GLS was significantly higher in wt-TTR patients (4.93 ± 1.4vs3.87 ± 1.3, p = 0.001) reflecting a more profound reduction in strain with a relatively preserved ejection fraction. Similarly, the ratio of GLS to LV mass was significantly lower in wt-TTR amyloidosis (0.078 ± 0.05vs0.155 ± 0.07, p &lt; 0.001), reflecting a more significant reduction in strain for a given wall thickness in wt-TTR patients. GLS:LV mass was the strongest discriminator between subtypes (AUC 0.82), with a cutoff of 0.09 giving a sensitivity and specificity of 71% and 80% respectively, for detecting wt-TTR.

Conclusion

In this cohort, patients with wt-TTR had significantly greater increase in LV wall thickness and diastolic dysfunction, which may in part reflect their increased age (77vs62). However, GLS was also significantly reduced compared to AL-amyloid, even when accounting for LV ejection fraction and LV mass, suggesting these composite parameters may have value in determining the subtype of cardiac amyloidosis.

Solenodon genome reveals convergent evolution of venom in eulipotyphlan mammals

Venom systems are key adaptations that have evolved throughout the tree of life and typically facilitate predation or defense. Despite venoms being model systems for studying a variety of evolutionary and physiological processes, many taxonomic groups remain understudied, including venomous mammals. Within the order Eulipotyphla, multiple shrew species and solenodons have oral venom systems. Despite morphological variation of their delivery systems, it remains unclear whether venom represents the ancestral state in this group or is the result of multiple independent origins. We investigated the origin and evolution of venom in eulipotyphlans by characterizing the venom system of the endangered Hispaniolan solenodon (Solenodon paradoxus). We constructed a genome to underpin proteomic identifications of solenodon venom toxins, before undertaking evolutionary analyses of those constituents, and functional assessments of the secreted venom. Our findings show that solenodon venom consists of multiple paralogous kallikrein 1 (KLK1) serine proteases, which cause hypotensive effects in vivo, and seem likely to have evolved to facilitate vertebrate prey capture. Comparative analyses provide convincing evidence that the oral venom systems of solenodons and shrews have evolved convergently, with the 4 independent origins of venom in eulipotyphlans outnumbering all other venom origins in mammals. We find that KLK1s have been independently coopted into the venom of shrews and solenodons following their divergence during the late Cretaceous, suggesting that evolutionary constraints may be acting on these genes. Consequently, our findings represent a striking example of convergent molecular evolution and demonstrate that distinct structural backgrounds can yield equivalent functions.