EPIDEEP: Using a Deep Learning Model to Predict In Vivo Electronic Portal Imaging Device (EPID) Transit Images

PURPOSE/OBJECTIVE(S)

To create a deep-learning model to predict in-vivo electronic portal imaging device (EPID) transit images for IMRT treatments. This model was created to predict in-vivo images to identify machine and patient-related errors that occur during beam delivery and are undetectable with current QA approaches. The deep-learning model can make image predictions much faster than Monte Carlo approaches, making image prediction feasible for application in online adaptive radiotherapy. Additionally, the model does not rely on any proprietary information and can be easily utilized by other clinics.

MATERIALS/METHODS

Our approach separates the primary and scatter components of in-vivo transit images. The attenuation of primary radiation reaching the EPID panel is modeled analytically, using attenuation measurements from phantoms of known thicknesses. The scatter component is estimated using a convolutional neural network (CNN). The CNN training uses information from the on-treatment cone-beam CTs (CBCTs), and a pretreatment EPID image with no patient in the beam. We acquired 193 IMRT fields/images from 118 patients previously treated on the Varian Halcyon. Treatment sites included the pelvis, abdomen, lungs, and extremities. CBCTs were collected immediately before treatment, to provide an accurate representation of the anatomy. A 3-channel input image was used, consisting of the pretreatment EPID image, a ray tracing projection through the CBCT to the EPID panel, and a projection to isocenter. Model training:validation:test set ratios were 133:20:40 images. The primary and scatter components are added together to give the predicted transit image. Prediction accuracy was assessed by comparing model-predicted and measured in-vivo EPID images with a 3%/3mm and 5%/3mm gamma pass rate.

RESULTS

The gamma pass rate for the patients in the training:validation:test was 91.5%:90.4%:92.1% for 3%/3mm and 96.7%:96.6%:97.0% for 5%/3mm. The model can make image predictions in 20 milliseconds. The poor passing rates of some images may be due to CBCT artifacts and patient motion that occurs between the time of CBCT and treatment.

CONCLUSION

This model can predict in-vivo EPID images with an average gamma pass rate greater than 90%. Image predictions from this model can be used to detect in-vivo treatment errors and changes in patient anatomy, providing an additional layer of patient-specific quality assurance. The speed of image predictions is 20 milliseconds, making use feasible for online adaptive treatments, which currently do not utilize patient-specific measurements of the delivered radiation. Upcoming studies will assess the model's ability in detecting clinically relevant errors and changes in patient anatomy that can adversely affect treatment. Future goals include acquiring more data to further improve the model and extending the model to make predictions for VMAT treatments.

O-125 Application of artificial intelligence using big data to devise and train a machine learning model on over 63,000 human embryos to automate time-lapse embryo annotation

Study question

Can a machine learning (ML) model, developed using modern neural network architecture produce comparable annotation data; utilisable for algorithmic outcome prediction, to manual time-lapse annotations?

Summary answer

The model automatically annotated unseen embryos with comparable results to manual methods, generating morphokinetic data to enable comparably predictive outputs from an embryo selection algorithm.

What is known already

The application of artificial intelligence across healthcare industries, including fertility, is increasing. Several ML models are available that seek to generate or analyse embryo images and morphokinetic data, and to determine embryo viability potential. Along with photographic images, the use of time-lapse in IVF laboratories has amassed numeric data, resulting predominantly from annotated manual assessment of images over time. Embryo annotation practice is variable in quality, can be subjective and is time-consuming; commonly taking several minutes per embryo. The development of rapid, accurate automatic annotation would represent a significant time-saving as well as an increase in reproducibility and accuracy.

Study design, size, duration

Multicentre quality assured annotation data from 63,383 time-lapse monitored embryos (EmbryoScope®), comprising over 400 million individual images, were used to train a ML model to automatically generate morphokinetic annotations. Data was derived from 8 UK clinics within a cohesive group between 2012-2021. Accuracy was assessed using 900 unseen embryos (with live birth outcome) by comparing the output of an established in-house, prospectively validated embryo selection model when the input was either ML-automated, or manual annotations.

Participants/materials, setting, methods

Multi-focal plane images were processed on the Azure cloud (Microsoft) and resampled to 300x300 pixels. A Laplacian-based focal stacking algorithm merged frames into a single image. The model consisted of an EfficientNetB4 Convolutional Neural Network classifier to extract features and classify the stage of embryo images. A Temporal Convolutional Network  interpreted a time-series of image features; producing annotations from pronuclear fading through to blastocyst. Soft localisation loss function used QA data to integrate annotation subjectivities.

Main results and the role of chance

The ML model rapidly and automatically generated annotations. Efficacy and comparability of the ML model to automate reliable, utilisable annotations was demonstrated by comparison with manual annotation data and the ML model’s ability to auto-generate annotations which could be used to predict live birth by providing annotation data to an established, validated in house embryo selection model. Live birth-predictive capability was measured, and benchmarked against manual annotation, using the area under the receiver operating characteristic curve (AUC).

When tested on time-lapse images, collected from pronuclear fading to full blastulation, representing 900 previously unseen, transferred blastocysts where live birth outcomes were blinded, the in-house developed auto-annotation ML model resulted in an AUC of 0.686 compared with 0.661 for manual annotations, for live birth prediction.

Auto annotation using the developed model took only milliseconds to complete per embryo. The developed auto-annotation model, built and tested on large data, is considered suitable for productionisation with the aim of being validated and integrated into an application to support IVF laboratory practice.

Limitations, reasons for caution

Whilst this model was trained to recognise key morphokinetic events, there are other morphokinetic variables that may be useful in the prediction of live birth and further improve embryo selection, or deselection, ability. Akin to manual interpretation, some embryos may fail to be annotated or need second opinion.

Wider implications of the findings

There is increasing evidence supporting the application of ML to utilise big data from time-lapse imaging and fertility care generally. Whilst promising benefits to IVF clinics and patients, responsible use of data is required alongside large high-quality datasets, and rigorous validation, to ensure safe and robust applications.

Trial registration number

N/A

O-306 LINZAGOLIX FOR ENDOMETRIOSIS-ASSOCIATED PAIN: SAFETY RESULTS FROM EDELWEISS 3, A PHASE 3, RANDOMIZED, DOUBLE-BLIND, PLACEBO-CONTROLLED TRIAL

Study question

Is once-daily linzagolix treatment for women with moderate to severe endometriosis-associated pain (EAP) safe for use for up to 6 months of treatment?

Summary answer

Both doses of linzagolix were well-tolerated with minimal BMD decrease and few TEAEs >5% in either linzagolix arm.

What is known already

Linzagolix (LGX) is an investigational once-daily oral GnRH receptor antagonist that reduces serum estradiol in a dose-dependent manner and is being developed in two dosages for the treatment of endometriosis-associated pain (EAP): 75 mg, and 200 mg dose with hormonal add-back therapy (ABT). 

Study design, size, duration

EDELWEISS 3 is a randomized, double-blind, placebo-controlled, multicenter Phase 3 trial of linzagolix in women with moderate to severe EAP. The trial includes 3 treatment arms: 75 mg LGX, 200 mg LGX with ABT (E2 1 mg/ NETA 0.5 mg), or placebo. Here we present safety results up to 6 months (24 weeks) of treatment.

Participants/materials, setting, methods

Eligible reproductive-aged women with moderate-to-severe EAP were randomized and treated (n = 484) for 6 months with 75 mg LGX, 200 mg LGX with ABT (E2 1 mg/ NETA 0.5 mg), or placebo. Safety and tolerability objectives reported here include 6-month results for treatment emergent adverse events (TEAEs), assessment of mean percent change from baseline (CfB) in lumbar spine (LS) bone mineral density (BMD) and Z-scores.

The safety analysis set included 484 subjects across the 3 treatment groups.

Main results and the role of chance

The overall incidence of TEAEs was similar between the placebo and LGX 75 mg group (46.9%) and slightly higher (56.8%) in the LGX 200 mg + ABT group. There were few (3) serious TEAEs, and none were related to LGX. TEAEs that occurred in over 5% of patients in either active treatment arm included headache (10.5%, 8.1%, and 8.0%), hot flush (6.8%, 7.5%, and 2.5%), and fatigue (6.8%, 3.8%, and 2.5%) for the 200 mg LGX with ABT, 75 mg LGX, and placebo groups, respectively. Mean percent CfB (95% CI) in LS BMD was -0.79% (-1.15,  -0.43%), -0.89% (-1.31, -0.47%), and +0.78% (0.41, 1.15%) for the 200 mg LGX with ABT, 75 mg LGX, and placebo groups, respectively. Z-scores at 6 months remained within the same range as baseline in all groups.

Limitations, reasons for caution

Additional efficacy and safety results from the trial's 24 weeks (6 mo) extension phase are pending. (Edelweiss 6 protocol: NCT04335591)

Wider implications of the findings

These results support further development of ABT and non-ABT doses of linzagolix that have potential to provide flexibility and choice for women seeking treatment for EAP. A non-ABT option is important for women who have a contraindication to, are at increased risk for complications, or prefer not to use ABT.

Trial registration number

ClinicalTrials.gov: NCT02778399

Introduction to the complex intervention concept and the research perspectives

 

Few interventions are truly simple; complexity can arise from various sources, e.g.:

Aspects of the intervention itself, such as the number of intervention components, the number of groups targeted, how dynamic the intervention is permitted to be. The context in which the intervention is developed and delivered, such as the social, political, economic, and geographical context.

Complex intervention research should be approached with an awareness of these sources of complexity. Systems thinking can be helpful to understanding the dynamic interaction between interventions and their context. This presentation will introduce concepts of complex adaptive systems, e.g. feedback loops, adaptation, emergence, that should be considered when developing and evaluating complex interventions. It will then introduce participants to the research perspectives set out in the new framework: efficacy, effectiveness, theory-based, and systems perspectives. Each perspective is associated with a different type of research question, and therefore appropriate in different circumstances. The presentation will provide information to support participants to consider the research perspective(s) most suited to the research challenge that they are aiming to address.

Main messages

There are multiple sources of complexity, each of which can affect how the intervention works or contributes to change. Complex intervention research can take an efficacy, effectiveness, theory-based, or systems perspective, the choice of which is based on what is known already and what further evidence would be most useful.

The new Framework and the Core Elements of complex intervention research

 

The new framework will be presented. The main phases of intervention research: development or identification, feasibility, evaluation and implementation are connected to 6 core elements:

Context: any feature of the circumstances in which an intervention is conceived, developed, evaluated and implemented Programme theory: how an intervention is expected to lead to its effects and under what conditions. Programme theory should be tested and refined at all stages and used to guide the identification of uncertainties and research questions Stakeholders: those who are targeted by the intervention, involved in its development or delivery, or more broadly those whose personal or professional interests are affected, that is who have a stake in the topic. This includes patients, the public, and professionals Refinement: the process of ‘fine tuning' or making changes to the intervention once a preliminary version has been developed Uncertainties: identifying key uncertainties that exist given what is already known and what the programme theory, researchers and stakeholders identify as being most important to find out. These judgements inform the framing of research questions that, in turn, govern research perspective choice Economic considerations: exploring the comparative resource and outcome consequences of the interventions for those people and organisations affected

The presentation will discuss how to use the framework, highlighting that complex intervention research can be an iterative process. Repeating of phases is preferable to automatic progression to the next phase if uncertainties remain unresolved.

Main messages

Complex intervention research may begin at any phase, depending on what is appropriate for the intervention in question, and does not necessarily move sequentially through the phases. The core elements should be considered early and revisited continually throughout, as this will make it most likely that the intervention will be implementable in practice.

Global upper-atmospheric heating on Jupiter by the polar aurorae

Jupiter's upper atmosphere is considerably hotter than expected from the amount of sunlight that it receives1-3. Processes that couple the magnetosphere to the atmosphere give rise to intense auroral emissions and enormous deposition of energy in the magnetic polar regions, so it has been presumed that redistribution of this energy could heat the rest of the planet4-6. Instead, most thermospheric global circulation models demonstrate that auroral energy is trapped at high latitudes by the strong winds on this rapidly rotating planet3,5,7-10. Consequently, other possible heat sources have continued to be studied, such as heating by gravity waves and acoustic waves emanating from the lower atmosphere2,11-13. Each mechanism would imprint a unique signature on the global Jovian temperature gradients, thus revealing the dominant heat source, but a lack of planet-wide, high-resolution data has meant that these gradients have not been determined. Here we report infrared spectroscopy of Jupiter with a spatial resolution of 2 degrees in longitude and latitude, extending from pole to equator. We find that temperatures decrease steadily from the auroral polar regions to the equator. Furthermore, during a period of enhanced activity possibly driven by a solar wind compression, a high-temperature planetary-scale structure was observed that may be propagating from the aurora. These observations indicate that Jupiter's upper atmosphere is predominantly heated by the redistribution of auroral energy.

Influence of concomitant injuries on post-concussion symptoms after a mild traumatic brain injury - a prospective multicentre cohort study

Objectives: To compare post-concussion symptoms (PCS) and return to normal activities between mild Traumatic Brain Injury (mTBI) patients with or without concomitant injuries at 7-and 90 days post-mTBI.Methods: Design: Sub-analysis of a multicentre prospective cohort study.

PARTICIPANTS AND SETTING

patients with mTBI from 7 Canadian Emergency Departments.

PROCEDURE

Research assistants conducted telephone follow-ups using the Rivermead Postconcussion Symptoms Questionnaire (RPQ) at 7-, 30- and 90 days post-mTBI.

MAIN OUTCOME

Presence of PCS (RPQ: ≥3 symptoms) at 90 days.

SECONDARY OUTCOMES

RPQ score ≥21, prevalence of individual RPQ symptoms and patients' return to normal activities, at 7- and 90-days. Adjusted risk ratios (RR) were calculated.Results: 1725 mTBI patients were included and 1055 (61.1%) had concomitant injuries. Patients with concomitant injuries were at higher risk of having ≥3 symptoms on the RPQ (RR:1.26 [95% CI 1.01-1.58]) at 90 days. They were also at higher risk of experiencing specific symptoms (dizziness, fatigue, headaches and taking longer to think) and of non-return to their normal activities (RR:2.11 [95% CI 1.30-3.45]).Conclusion: Patients with concomitant injuries have slightly more PCS and seemed to be at higher risk of non-return to their normal activities 90 days, compared to patients without concomitant injuries.

540 Point of Care Testing for Tetanus Immunity: A Systematic Review

Introduction

All patients presenting to emergency departments (EDs) with traumatic injuries require tetanus immunity assessments. Inaccurate tetanus vaccination history based on patient recall incurs unnecessary costs on the NHS. Point-of-care immunochromatographic tests (Tetanus Quick Sticks [TQS]) quickly identify tetanus immunity status. We aim to evaluate the diagnostic accuracy and cost-efficacy of TQS to assess their relevance in emergency care.

Method

The systematic review followed PRISMA guidelines. A retrospective search of MEDLINE, Embase, Global Health, HMIC and The Cochrane Library was conducted. Studies were eligible if sensitivity, specificity, or cost-efficacy of TQS were reported. At least two authors independently analysed the data from each study.

Results

12 studies were suitable for inclusion (n = 1,662,865 participants): one retrospective and 11 prospective observational cohort studies. Eight studies assessed diagnostic accuracy with the median sensitivity at 86% (55-100) and the median specificity at 97.5% (1-100). All six studies investigating cost-efficacy reported greater savings when using TQS instead of using vaccination history, due to a decrease in unnecessary tetanus vaccine and immunoglobulin administration.

Conclusions

TQS is a safe diagnostic tool, especially when used by trained operators. TQS widely reduces costs in comparison to traditional vaccination history. We recommend the use of TQS in Emergency Departments throughout the NHS.

The effect of ego depletion on challenge and threat evaluations during a potentially stressful public speaking task

It has been well established that challenge and threat evaluations affect the performance of potentially stressful tasks. However, the factors that influence these evaluations have rarely been examined. Objective: This study examined the effects of ego depletion on challenge and threat evaluations during a public speaking task. Method: 262 participants (150 males, 112 females; M_age = 20.5, SD = 4.3) were randomly assigned to either an ego depletion or control group. Participants then completed self-report measures of trait self-control. The ego depletion group performed a written transcription task requiring self-control, while the control group transcribed the text normally. Before the public speaking task, participant's challenge and threat evaluations and subjective ratings of performance were assessed via self-report items. Results: The results of independent t-tests supported the effectiveness of the self-control manipulation. There were no significant differences between the ego depletion and control groups in terms of challenge and threat evaluations or subjective performance. Additional correlation analyses revealed that trait measures of self-control were significantly and negatively related to challenge and threat evaluations and subjective performance. Conclusion: Findings suggest that ego depletion might not influence appraisals of potentially stressful tasks, and thus add to recent evidence questioning the ego-depletion phenomenon.

Atmospheric implications of the lack of H3+ detection at Neptune

H3+ has been detected at all of the solar system giant planets aside from Neptune. Current observational upper limits imply that there is far less H3+ emission at Neptune than rudimentary modelling would suggest. Here, we explore via modelling a range of atmospheric conditions in order to find some that could be consistent with observational constraints. In particular, we consider that the upper atmosphere might be much cooler than it was during the 1989 Voyager 2 encounter, and we examine the impact of an enhanced influx of external material that could act to reduce H3+ density. Resulting ionosphere models that are consistent with existing H3+ observational constraints have an exospheric temperature of 450 K or less, 300 K lower than the Voyager 2 value. Alternatively, if a topside CO influx of 2 × 108 cm-2 s-1 is imposed, the upper atmospheric temperature can be higher, up to 550 K. The potential cooling of Neptune's atmosphere is relevant for poorly understood giant planet thermospheric energetics, and would also impact aerobreaking manoeuvers for any future spacecraft. Such a large CO influx, if present, could imply Triton is a very active moon with prominent atmospheric escape, and/or that Neptune's rings significantly modify its upper atmosphere, and the introduction of so much exogenic material would complicate interpretation of the origin of species observed in Neptune's lower atmosphere. This article is part a discussion meeting issue 'Future exploration of ice giant systems'.

Group Cognitive Behaviour Therapy for Depression - Does it Help Bipolar Patients Too?

Aims:

To compare the effectiveness of a manualised group cognitive behaviour therapy (CBT) programme for people with bipolar disorder (BPD) and major depressive disorder (MDD).

Method:

In addition to treatment as usual (TAU), 17 people with BPD and 17 matched controls with MDD completed 8 or 12 sessions of twice weekly group CBT, followed by 6 booster sessions, held at monthly intervals. Participants completed the Structured Clinical Interview for DSM-IV Axis 1 Disorders, Clinician Version (SCID-1) and the University of Rhode Island Change Assessment (URICA) prior to therapy. They completed the Beck Depression Inventory - II (BDI), the Beck Anxiety Inventory (BAI), the Clinical Outcomes in Routine Evaluation (CORE), the World Health Organisation Quality of Life Brief Version (WHOQoL - BREF) and the Dysfunctional Attitudes Scale (DAS) before and after therapy and at the final follow-up session. The BDI and BAI were also completed at each group session.

Results:

Both groups showed statistically and clinically significant improvement on the BDI and BAI after treatment and at follow-up. Both groups showed a significant improvement on the psychological health sub-scale on the WHOQoL-BREF.

Conclusions:

Manualised group CBT leads to a reduction in the symptoms of depression and anxiety in people with both BPD and MDD and helps improve their perceived quality of life.

Declaration of interest:

None.

P256 Reproductive health outcomes in women with PsA

Background

There is quality data showing rheumatoid arthritis (RA) improves in pregnancy and flares postpartum and that active disease is associated with adverse foetal outcomes. For psoriatic arthritis (PsA), the data is less clear, with previous studies giving contrasting results. We prospectively monitored disease control, maternal and foetal outcomes in women with PsA attending our multidisciplinary service.

Methods

Age, medications, disease control, maternal and foetal outcomes were reviewed and descripitive statistics applied.

Results

14 patients were reviewed. 12 became pregnant. There were 20 pregnancies in total. Eight patients had 1 pregnancy. Two patients had 3 pregnancies, 1 patient was pregnant twice and 1 patient had 4 pregnancies and is currently pregnant. Two patients failed to become pregnant.

There were 13 live births (one set of twins), 7 vaginal deliveries and 5 Caesarean sections. There were 6 intrauterine deaths (4 1st trimester, 2 2nd trimester). Two patients had postpartum complications (grade 4 vaginal tear and Caesarean wound infection). Mean foetal birth weight was 3.54kg (national average 3.49kg). 8 infants (55%) were breastfeeding at 6 weeks (national average 62%). 14 patients were on a DMARD (including oral steroids) in pregnancy. There were 8 pregnancies on a bDMARD alone, one on a bDMARD plus prednisolone. The bDMARDs used were certolizumab (five times), adalimumab (twice), infliximab (once) and etanercept (once). Two patients were on prednisolone alone. One patient on sulfasalazine plus prednisolone. One pregnancy on sulfasalazine plus hydroxychloroquine, 1 on sulfasalazine alone. Two patients were on NSAIDs. Disease activity was measured using DAS28-CRP 3 as this is validated for use in RA during pregnancy. Overall, the mean disease activity scores decreased during pregnancy and increased postpartum. After applying the European League Against Rheumatism-defined response criteria disease activity, almost half of the women had at least a moderate response during pregnancy and more than one-third had at least a moderate flare post partum, particularly at 6 weeks. The postpartum flare may be underestimated as medication use was remarkably increased after delivery. At 6 weeks, in five cases the bDMARD therapies had already been restarted. In two cases, the patients missed this appointment. One patient was started on methotrexate at their 6-week review.

Conclusion

Disease activity generally improved during pregnancy and flared postpartum. Miscarriage rates were higher than the general population (32% v 20%). Birth weights and breastfeeding rates at six weeks were similar.

Disclosures

K. Murray None. L. Moore None. F. Young None. F. McAulliffe None. D. Veale None.

P208 A multidisciplinary approach to reproductive healthcare in women with rheumatic disease

Background

Rheumatic disease (RD) patients when family planning must consider fertility, disease activity, and management from preconception to lactation. A clear understanding is necessary, especially for those receiving disease-modifying antirheumatic medications. Previous studies have highlighted unmet needs in the care of women with RDs with reproductive healthcare needs. This study describes, to our knowledge, the first published standardised reproductive care pathway for women with RDs and the outcomes of this approach.

Methods

We developed the care pathway with multidisciplinary input from rheumatologists, rheumatology nurse specialists, obstetricians, midwives, maternal medicine specialists, and pharmacists. We identified patients’ emotional and healthcare needs, ensured access to expert advice, maintenance of good disease control, and positive reproductive outcomes. We prospectively followed the patients and report the results of the service.

Results

Ninety-eight women with median age (range) of 35 years (19-48) were assessed. The majority had an inflammatory arthritis. Seventy-six babies were born to 62 mothers. There were 12 miscarriages and one perinatal death. Breastfeeding rates at 6 weeks were low (28%).

Conclusion

We describe the first published evidence-based integrated multidisciplinary reproductive care pathway for women with RDs and the results of this approach. Seventy percent of women successful in trying to conceive delivered a healthy baby, and 90% of patients were ‘very satisfied’ with the service.

Disclosures

K. Murray: None. L. Moore: None. C. O'Brien: None. A. Clohessy: None. C. Brophy: None. F. McAuliffe: None. D. Veale: None.

Abstract WP195: Accelerated Repetitive Transcranial Magnetic Stimulation (rTMS) as a Treatment for Subacute Post-Stroke Depression (PSD)

Introduction: Depression affects more than 50% of stroke survivors, reducing quality of life and increasing adverse outcomes. As stroke survivorship improves, the need for innovative treatments for associated stroke morbidity such as PSD is even more urgent. Alternative therapies are necessary due to the limited efficacy of antidepressants and counseling. rTMS is well established as an effective treatment for Major Depressive Disorder (MDD) and some small trials have shown that rTMS may be effective for chronic PSD; however, no trials have looked at an accelerated rTMS protocol in the subacute stroke period for PSD.

Hypothesis: An accelerated rTMS protocol will be a safe and feasible option to effectively reduce PSD symptoms within 6 months of ischemic stroke onset.

Methods: Patients (N = 6) with radiographic evidence of ischemic stroke within the last 2 weeks to 6 months who had Hamilton Depression Rating Scale (HAMD-17) scores ≥ 8 were recruited for an open label study using an accelerated rTMS protocol as follows: High frequency (20 Hz) rTMS at 110% resting motor threshold (RMT) was applied to the left dorsolateral prefrontal cortex (DLPFC) during 5 sessions per day over 4 consecutive days for a total of 20 sessions. Forty trains of 2 second duration were applied with a 12 second intertrain interval for a total of 1560 pulses per session. Before and after the 4-day neurostimulation protocol, outcome measures were obtained for the HAMD, modified Rankin Scale (mRS), functional independence measures (FIM), and National Institutes of Health Stroke Scales (NIHSS). These same measures were obtained at 3-month follow up.

Results: HAMD significantly decreased (Wilcoxon p = 0.03) from M=15.5 (2.81) to 4.17 (0.98) following rTMS, a difference which persisted to the 3-month follow-up (p=0.03). No statistically significant difference in FIM, mRS, or NIHSS were observed. No significant adverse events related to the treatment were observed.

Conclusions: Our preliminary results indicate that an accelerated rTMS protocol is safe and feasible, and may be an effective alternative or adjunctive therapy for patients suffering from PSD. Future planned studies include a larger, randomized controlled trial in this population.

Trends of clinical outcomes in patients with a Traumatic Brain Injury (TBI) in Canada between 2006 and 2012

BACKGROUND

Traumatic brain injuries (TBI) are the leading cause of death for people aged <40 years. In Canada, the structure of trauma care has evolved independently across provinces during the last decade. However, little is known about the evolution of clinical outcomes. We aimed to compare trends in hospital mortality, unplanned readmission, hospital length of stay (LOS) and intensive care unit (ICU) LOS for TBI between 2006 and 2012 across Canadian provinces.

METHODS

We conducted a retrospective multicentre cohort study based on TBI admissions across Canadian level I and II trauma centres. Data were extracted from the National Trauma Registry linked to hospital discharge databases. All adults with an injury severity score ≥12 were included. Multilevel generalized linear models were used to evaluate trends in clinical outcomes.

RESULTS

Between 2006 and 2012, we observed a decrease in mortality in Canada (odd ratio [OR] = 0.95; 95% confidence intervals [CI] = 0.92-0.98) mostly driven by Ontario (OR = 0.95; 95% CI = 0.93-0.98). We observed a significant decrease in hospital length of stay in Canada (hazard ratio [HR]: hazard of being discharged alive from hospital = 1.02; 95% CI = 1.01-1.02) mostly driven by a decrease in Quebec (HR = 1.03; 95% CI = 1.01-1.04). We observed a decrease in ICU Length of stay only in Alberta (HR = 1.05; 95% CI = 1.01-1.09). No trend was observed for hospital readmissions.

CONCLUSION

We observed significant decreases in mortality, hospital and ICU length of stay for TBI in Canada between 2006 and 2012 but only in certain provinces. This study may represent the first step towards a better understanding of the influence of trauma system configuration on the burden of injuries in Canada.

A qualitative study of e-cigarette emergence and the potential for renormalisation of smoking in UK youth

Background

Growth of e-cigarette use among smokers has raised concerns over uptake by non-smokers, particularly young people. Legislative changes aimed in part at reducing youth exposure to e-cigarettes include the EU Tobacco Products Directive (TPD). A core justification for such measures is the belief that e-cigarettes can lead to tobacco smoking through mechanisms of renormalisation including: mimicking and normalizing the act of smoking; increasing product acceptability via marketing; nicotine exposure. These mechanisms are here explored in relation to findings from qualitative research.

Methods

This paper reports results from twenty-one group interviews with 14–15 year olds in Wales, England and Scotland, conducted as part of an ongoing evaluation of the impact of the TPD on youth smoking and e-cigarette use. Interviews were conducted around the end of the transitional period for TPD implementation, and explored perceptions of e-cigarettes and tobacco, as well as similarities and differences between them.

Results

Young people differentiated between tobacco and e-cigarettes, rejecting the term e-cigarette in favour of alternatives such as ‘vapes’. Experimental or occasional use was common and generally approved of where occurring within social activity with peers. However, regular use outside of this context was widely disapproved of, unless for the purpose of stopping smoking. Increased prevalence of e-cigarettes did not challenge strongly negative views of smoking or reduce perceived harms caused by it, with disapproval of smoking remaining high. Nicotine use was variable, with flavour a stronger driver for choice of e-liquid, and interest more generally.

Conclusion

The extent to which participants differentiated between vaping and smoking, including styles and reasons for use in adults and young people; absence of marketing awareness; and continued strong disapproval of smoking provides limited support for some of the potential mechanisms through which e-cigarettes may renormalise smoking. However caution over nicotine exposure is still necessary.

The H3+ ionosphere of Uranus: decades-long cooling and local-time morphology

The upper atmosphere of Uranus has been observed to be slowly cooling between 1993 and 2011. New analysis of near-infrared observations of emission from H3+ obtained between 2012 and 2018 reveals that this cooling trend has continued, showing that the upper atmosphere has cooled for 27 years, longer than the length of a nominal season of 21 years. The new observations have offered greater spatial resolution and higher sensitivity than previous ones, enabling the characterization of the H3+ intensity as a function of local time. These profiles peak between 13 and 15 h local time, later than models suggest. The NASA Infrared Telescope Facility iSHELL instrument also provides the detection of a bright H3+ signal on 16 October 2016, rotating into view from the dawn sector. This feature is consistent with an auroral signal, but is the only of its kind present in this comprehensive dataset. This article is part of a discussion meeting issue 'Advances in hydrogen molecular ions: H3+, H5+ and beyond'.

Modelling H3+ in planetary atmospheres: effects of vertical gradients on observed quantities

Since its detection in the aurorae of Jupiter approximately 30 years ago, the H3+ ion has served as an invaluable probe of giant planet upper atmospheres. However, the vast majority of monitoring of planetary H3+ radiation has followed from observations that rely on deriving parameters from column-integrated paths through the emitting layer. Here, we investigate the effects of density and temperature gradients along such paths on the measured H3+ spectrum and its resulting interpretation. In a non-isothermal atmosphere, H3+ column densities retrieved from such observations are found to represent a lower limit, reduced by 20% or more from the true atmospheric value. Global simulations of Uranus' ionosphere reveal that measured H3+ temperature variations are often attributable to well-understood solar zenith angle effects rather than indications of real atmospheric variability. Finally, based on these insights, a preliminary method of deriving vertical temperature structure is demonstrated at Jupiter using model reproductions of electron density and H3+ measurements. The sheer diversity and uncertainty of conditions in planetary atmospheres prohibits this work from providing blanket quantitative correction factors; nonetheless, we illustrate a few simple ways in which the already formidable utility of H3+ observations in understanding planetary atmospheres can be enhanced. This article is part of a discussion meeting issue 'Advances in hydrogen molecular ions: H3+, H5+ and beyond'.

Migration, ethnicity and mental health: evidence from mothers participating in the Millennium Cohort Study

OBJECTIVES

Over a quarter of UK births are to women who were born outside of the UK. Black and Minority Ethnic (BME) women are disproportionately affected by poor mental health and inequitable access to mental health care in the perinatal period, yet the influence of the migrant status (mothers' UK vs. non-UK birth) is poorly understood. This study aimed to explore the relationship between ethnicity, migration and mental health indicators among mothers participating in a large nationally representative cohort study.

STUDY DESIGN

This is a secondary analysis of data from the Millennium Cohort Study.

METHODS

Logistic regression quantified the crude and adjusted effects of self-reported ethnicity and migrant status on prevalence of psychological distress and treatment for anxiety/depression at 9-month and 5-year postpartum.

RESULTS

We found substantial variation in the prevalence of distress according to ethnicity and migrant status, with Indian and Pakistani women at greatest risk. Despite equal or greater risk, BME and migrant women were less likely to report treatment for anxiety/depression. Mutually adjusted analyses showed ethnicity to be a stronger predictor of both outcomes than migrant status; however, at 5 years, being a migrant independently predicted lower odds of treatment, for a statistically similar level of distress.

CONCLUSIONS

Migrant women are likely to be at high risk of poor mental health in the perinatal period and beyond, yet may face significant barriers to accessing mental health care. A better understanding of ethnicity and migration as interrelated risk factors for perinatal mental ill-health is needed to help National Health Service organisations develop policy and practice that is flexible and responsive to diversity.

Performance of predictive tools to identify individuals at risk of non-traumatic fracture: a systematic review, meta-analysis, and meta-regression

There is no consensus on which tool is the most accurate to assess fracture risk. The results of this systematic review suggest that QFracture, Fracture Risk Assessment Tool (FRAX) with BMD, and Garvan with BMD are the tools with the best discriminative ability. More studies assessing the comparative performance of current tools are needed.

INTRODUCTION

Many tools exist to assess fracture risk. This review aims to determine which tools have the best predictive accuracy to identify individuals at high risk of non-traumatic fracture.

METHODS

Studies assessing the accuracy of tools for prediction of fracture were searched in MEDLINE, EMBASE, Evidence-Based Medicine Reviews, and Global Health. Studies were eligible if discrimination was assessed in a population independent of the derivation cohort. Meta-analyses and meta-regressions were performed on areas under the ROC curve (AUCs). Gender, mean age, age range, and study quality were used as adjustment variables.

RESULTS

We identified 53 validation studies assessing the discriminative ability of 14 tools. Given the small number of studies on some tools, only FRAX, Garvan, and QFracture were compared using meta-regression models. In the unadjusted analyses, QFracture had the best discriminative ability to predict hip fracture (AUC = 0.88). In the adjusted analysis, FRAX with BMD (AUC = 0.81) and Garvan with BMD (AUC = 0.79) had the highest AUCs. For prediction of major osteoporotic fracture, QFracture had the best discriminative ability (AUC = 0.77). For prediction of osteoporotic or any fracture, FRAX with BMD and Garvan with BMD had higher discriminative ability than their versions without BMD (FRAX: AUC = 0.72 vs 0.69, Garvan: AUC = 0.72 vs 0.65). A significant amount of heterogeneity was present in the analyses.

CONCLUSIONS

QFracture, FRAX with BMD, and Garvan with BMD have the highest discriminative performance for predicting fracture. Additional studies in which the performance of current tools is assessed in the same individuals may be performed to confirm this conclusion.

Correction: Safety and utility of image-guided research biopsies in relapsed high-grade serous ovarian carcinoma-experience of the BriTROC consortium

This article was originally published under a CC BY NC SA License, but has now been made available under a CC BY 4.0 License.

'Why us?' Causal attributions of childhood cancer survivors, survivors' parents and community comparisons - a mixed methods analysis

INTRODUCTION

Understanding the cause of their cancer is important for many cancer patients. Childhood cancer survivors'/survivors' parents' beliefs about cancer etiology are understudied. We aimed to assess survivors'/parents' beliefs about what causes childhood cancer, compared with beliefs in the community. We also investigated the influence of clinical and socio-demographic characteristics on the participants' beliefs about cancer etiology.

METHODS

This two-stage study investigated the participants' beliefs, by using questionnaires assessing causal attributions related to childhood cancer (stage 1) and then undertaking telephone interviews (stage 2; survivors/survivors' parents only) to get an in-depth understanding of survivors'/survivors' parents beliefs. We computed multivariable regressions to identify factors associated with the most commonly endorsed attributions: bad luck/chance, environmental factors and genetics. We analyzed interviews using thematic analysis.

RESULTS

Six hundred one individuals (64.6% survivors and 35.4% survivors' parents) and 510 community comparisons (53.1% community adults, 46.9% community parents) completed the question on causal attributions. We conducted 87 in-depth interviews. Survivors/survivors' parents (73.9%) were more likely to believe that chance/bad luck caused childhood cancer than community participants (42.4%). Community participants more frequently endorsed that genetics (75.3%) and environmental factors (65.3%) played a major role in childhood cancer etiology (versus survivors' and survivors' parents: genetics 20.6%, environmental factors: 19.3%). Community participants, participants with a first language other than English, and reporting a lower quality of life were less likely to attribute bad luck as a cause of childhood cancer. Community participants, all participants with a higher income and higher education were more likely to attribute childhood cancer etiology to environmental factors.

CONCLUSION

Causal attributions differed between survivors/survivors' parents and community participants. Most of the parents and survivors seem to understand that there is nothing they have done to cause the cancer. Understanding survivors' and survivors' parents' causal attributions may be crucial to address misconceptions, offer access to services and to adapt current and future health behaviors.

Chemical interactions between Saturn’s atmosphere and its rings

The Pioneer and Voyager spacecraft made close-up measurements of Saturn’s ionosphere and upper atmosphere in the 1970s and 1980s that suggested a chemical interaction between the rings and atmosphere. Exploring this interaction provides information on ring composition and the influence on Saturn’s atmosphere from infalling material. The Cassini Ion Neutral Mass Spectrometer sampled in situ the region between the D ring and Saturn during the spacecraft’s Grand Finale phase. We used these measurements to characterize the atmospheric structure and material influx from the rings. The atmospheric He/H2 ratio is 10 to 16%. Volatile compounds from the rings (methane; carbon monoxide and/or molecular nitrogen), as well as larger organic-bearing grains, are flowing inward at a rate of 4800 to 45,000 kilograms per second.

Faecal calprotectin effectively excludes inflammatory bowel disease in 789 symptomatic young adults with/without alarm symptoms: a prospective UK primary care cohort study

BACKGROUND

Primary care faecal calprotectin testing distinguishes inflammatory bowel disease (IBD) from functional gut disorder in young patients presenting with abdominal symptoms; however, previous evaluations have excluded patients with alarm symptoms.

AIMS

We sought to evaluate the diagnostic accuracy of calprotectin to distinguish IBD from functional gut disorder in young adults in whom general practitioners (GPs) suspected IBD; including patients reporting gastrointestinal alarm symptoms. We hypothesised that calprotectin would reduce secondary care referrals and healthcare costs.

METHODS

We undertook a prospective cohort study of 789 young adults (18-46 years old) presenting with gastrointestinal symptoms to 49 local general practices that had undergone calprotectin testing (1053 tests: between Jan 2014 and May 2016) because of suspected IBD. We considered calprotectin levels of ≥100 μg/g positive. Primary and secondary care records over 12 months from the point of calprotectin testing were used as the reference standard.

RESULTS

Overall, 39% (308/789) patients reported gastrointestinal alarm symptoms and 6% (50/789) tested patients were diagnosed with IBD. The positive and negative predictive values of calprotectin testing for distinguishing IBD from functional gut disorder in patients with gastrointestinal alarm symptoms were 50% (95% CI 36%-64%) and 98% (96%-100%): and in patients without gastrointestinal alarm symptoms were 27% (16%-41%) and 99% (98%-100%), respectively. We estimate savings of 279 referrals and £160 per patient.

CONCLUSIONS

Calprotectin testing of young adults with suspected IBD in primary care accurately distinguishes IBD from functional gut disorder, even in patients with gastrointestinal alarm symptoms and reduces secondary care referrals and diagnostic healthcare costs.

Investigation of the HotDog patient warming system: detection of thermal gradients

OBJECTIVE

To assess the performance of an active patient-warming device.

MATERIALS AND METHODS

Temperatures of an active patient-warming device (HotDog system) were measured at various time points using an infrared thermometer. The study was conducted in two phases: Phase 1 compared temperatures among four different areas of the warming blanket. Phase 2 compared conditions simulating different scenarios using a weighted patient simulator.

RESULTS

Phase 1: Three out of four positions on the warming blanket had significantly different temperature measurements. Phase 2: Temperature output by the warming blanket was reduced: (1) in the absence of the patient simulator placed across the blanket (-1·9°C, P=0·013); (2) if the patient simulator was placed away from the blanket sensor (-2·0°C, P=0·009); and (3) if there was fluid between the patient simulator and warming blanket (-2·2°C, P=0·004). In a majority of measurements (95%), the set temperature of 43°C on the control unit was not reached (range, 29·8 to 42·9°C) and 2·3% of measurements were higher (range, 43·1 to 45·8°C) than the control unit set temperature of 43°C.

CLINICAL SIGNIFICANCE

Measured temperatures on the active warming blanket did not reflect control unit settings. This could result in the potential for hyperthermic injury, ineffectual heating and uneven heat distribution.