Using machine learning with passive wearable sensors to pilot the detection of eating disorder behaviors in everyday life

BACKGROUND

Eating disorders (ED) are serious psychiatric disorders, taking a life every 52 minutes, with high relapse. There are currently no support or effective intervention therapeutics for individuals with an ED in their everyday life. The aim of this study is to build idiographic machine learning (ML) models to evaluate the performance of physiological recordings to detect individual ED behaviors in naturalistic settings.

METHODS

From an ongoing study (Final N = 120), we piloted the ability for ML to detect an individual's ED behavioral episodes (e.g. purging) from physiological data in six individuals diagnosed with an ED, all of whom endorsed purging. Participants wore an ambulatory monitor for 30 days and tapped a button to denote ED behavioral episodes. We built idiographic (N = 1) logistic regression classifiers (LRC) ML trained models to identify onset of episodes (~600 windows) v. baseline (~571 windows) physiology (Heart Rate, Electrodermal Activity, and Temperature).

RESULTS

Using physiological data, ML LRC accurately classified on average 91% of cases, with 92% specificity and 90% sensitivity.

CONCLUSIONS

This evidence suggests the ability to build idiographic ML models that detect ED behaviors from physiological indices within everyday life with a high level of accuracy. The novel use of ML with wearable sensors to detect physiological patterns of ED behavior pre-onset can lead to just-in-time clinical interventions to disrupt problematic behaviors and promote ED recovery.

Influence of at-risk family interactions on the course of psychiatric care in adolescence

Dysparenting, referring to inappropriate parental attitudes, is a vulnerability factor for mental disorders during adolescence and a therapeutic leverage, yet clinicians lack reliable tools to assess it in daily clinical practice. Moreover, the effect of this dysparenting on the amount of psychiatric care remains unclear. The Family and Care study aims to develop the at-risk family interactions and levers (ARFIL) scale, a comprehensive 30-item clinical scale, and to assess in a cross-sectional design, the impact of these at-risk family interactions on the care of adolescents (n = 425) hospitalized in psychiatry and aged 13-19 years old. Factorial analysis shows that the ARFIL scale consists of three main dimensions associated with cohesion/conflicts, love/hostility, and autonomy/control with good psychometric properties. Multivariate regressions show that the ARFIL intensity score predicts the duration of hospital care, regardless of age, gender, medical severity on admission, assessed by the Global Assessment of Functioning scale, the presence of maltreatment and psychiatric diagnoses. Moreover, the ARFIL diversity score (number of items present regardless of their severity) predicts both the number and duration of hospitalizations. At-risk family interactions are a determining dimension of psychiatric adolescent care, and the ARFIL scale could constitute a valuable tool, not only for holistic evaluation and treatment, but also for prevention.

89Zr-Trastuzumab PET/CT Imaging of HER2-Positive Breast Cancer for Predicting Pathological Complete Response after Neoadjuvant Systemic Therapy: A Feasibility Study

BACKGROUND

Approximately 20% of invasive ductal breast malignancies are human epidermal growth factor receptor 2 (HER2)-positive. These patients receive neoadjuvant systemic therapy (NAT) including HER2-targeting therapies. Up to 65% of patients achieve a pathological complete response (pCR). These patients might not have needed surgery. However, accurate preoperative identification of a pCR remains challenging. A radiologic complete response (rCR) on MRI corresponds to a pCR in only 73% of patients. The current feasibility study investigates if HER2-targeted PET/CT-imaging using Zirconium-89 (89Zr)-radiolabeled trastuzumab can be used for more accurate NAT response evaluation.

METHODS

HER2-positive breast cancer patients scheduled to undergo NAT and subsequent surgery received a 89Zr-trastuzumab PET/CT both before (PET/CT-1) and after (PET/CT-2) NAT. Qualitative and quantitative response evaluation was performed.

RESULTS

Six patients were enrolled. All primary tumors could be identified on PET/CT-1. Four patients had a pCR and two a pathological partial response (pPR) in the primary tumor. Qualitative assessment of PET/CT resulted in an accuracy of 66.7%, compared to 83.3% of the standard-of-care MRI. Quantitative assessment showed a difference between the SUVR on PET/CT-1 and PET/CT-2 (ΔSUVR) in patients with a pPR and pCR of -48% and -90% (p = 0.133), respectively. The difference in tumor-to-blood ratio on PET/CT-1 and PET/CT-2 (ΔTBR) in patients with pPR and pCR was -79% and -94% (p = 0.133), respectively. Three patients had metastatic lymph nodes at diagnosis that were all identified on PET/CT-1. All three patients achieved a nodal pCR. Qualitative assessment of the lymph nodes with PET/CT resulted in an accuracy of 66.7%, compared to 50% of the MRI.

CONCLUSIONS

NAT response evaluation using 89Zr-trastuzumab PET/CT is feasible. In the current study, qualitative assessment of the PET/CT images is not superior to standard-of-care MRI. Our results suggest that quantitative assessment of 89Zr-trastuzumab PET/CT has potential for a more accurate response evaluation of the primary tumor after NAT in HER2-positive breast cancer.

[Prevention and treatment of antipsychotic induced weight gain]

BACKGROUND

Metformin is the most investigated pharmacological treatment of antipsychotics-induced weight gain (AIWG). Based on a systematic literature review, the first guideline for the treatment of AIWG with metformin was recently published.

AIM

To present a step-by-step plan, based on recent literature and clinical experience to monitor, prevent, and treat AIWG.

METHOD

Literature search to give specific advice on the choice of antipsychotic medication, stop, dose reduction or switch of antipsychotic, screening, non-pharmacological and pharmacological interventions to prevent and treat AIWG.

RESULTS

Especially in the first year of antipsychotic treatment timely detection of AIWG through regular monitoring is pivotal. The best way to treat AIWG is to prevent its emergence by choosing an antipsychotic with a favourable metabolic profile. Secondly, by titration of antipsychotic medication to the lowest dose possible. Achieving a healthy lifestyle shows a limited beneficial effect on AIWG. Drug-induced weight loss can be attained by the addition of metformin, topiramate, or aripiprazole. Topiramate and aripiprazole can improve positive and negative residual symptoms of schizophrenia. The evidence on liraglutide is scarce. All augmentation strategies may cause side effects. Besides, in case of nonresponse augmentation therapy should be stopped to prevent unnecessary polypharmacy.

CONCLUSION

In the revision of the Dutch multidisciplinary guideline for schizophrenia, the detection, prevention, and treatment of AIWG deserves more attention.

Virtual Reality Cognitive Remediation for Mood disorders: RCT pilot study

Introduction

Mood disorders interrupt well-being and participation in everyday activities through, among others, a mechanism of cognitive impairments. Ample evidence was found for cognitive remediation (CR) effectiveness in various mental health conditions. However, its contribution to improvement of functional outcomes in mood disorders was little investigated. Virtual Reality (VR)-based CR has a potential to overcome limitations by enabling training on daily-life tasks in ecological environments.

Objectives

Test the effectiveness of VR-based vs standard CR for improvement of cognition, functional capacity and participation in daily-life activities in mood disorders.

Methods

Twenty-two individuals (female: N=13, 59.1%; Age: M=39, SD=13.4) diagnosed with major depression or bipolar disorder were randomly assigned either to the standard or VR-based CR. The participants completed 6 half-an-hour sessions using the Functional Brain Trainer (Intendu©), a body-controlled, adaptive tool for training of inhibition, planning, working memory, shifting, self-initiation, persistence, and attention in functional tasks and environments. Standard assessments were used to evaluate cognition, functional capacity, mood symptoms and participation dimensions in pre-post design.

Results

VR-based CR contributes to improvement in memory, executive functions and construction (2<Z<2.23, p<.05), functional capacity (Z=-2.44, p<.01) and satisfaction with participation (Z= -1.9, p<.01). Standard CR contributes to executive functions (Z=2.33, p<.05), and functional capacity (Z=-2.35, p<.05).

Conclusions

This study provides initial evidence for contribution of CR to functional outcomes in mood disorders, with advantages of VR-based modality, suggesting the potential of CR to improve treatment outcomes and well-being in this population. Larger, controlled trials are needed to further expand evidence for VR-based CR effectiveness.

Disclosure

No significant relationships.

Cognitive Remediation and Social Recovery in Early Psychosis (CReSt-R): protocol for a pilot randomised controlled study

BACKGROUND

Psychosis, even in its early stages, is associated with significant disability, causing it to be ranked ahead of paraplegia and blindness in those aged 18-35 in terms of years lived with disability. Current pharmacological and psychological interventions intervention have focused primarily on the reduction of positive symptoms (hallucinations and delusions), with little benefit to domains of psychosis such as cognitive difficulties and social and occupational functioning.

METHODS/DESIGN

The CReSt-R intervention trial is a single center, pilot randomised controlled study based at the National University of Ireland (NUI), Galway. The trial will recruit participants from four clinical sites with assessment and intervention completed by the primary NUI Galway team. The trial will explore the feasibility, acceptability, and effectiveness of a novel psychosocial intervention for early psychosis based on a combined cognitive remediation training and cognitive behavioural therapy approach focused on social recovery. Participants, aged 16-35 within the first 5 years of a diagnosed psychotic disorder, will be recruited from the Children and Adolescent Mental Health Service and the Adult Mental Health Services in the region.

DISCUSSION

Cognitive remediation training (for improving cognition) and social recovery focused cognitive behavioural therapy, have both separately demonstrated effectiveness. This trial will evaluate the feasibility, acceptability, and explore the efficacy of a treatment approach that combines both approaches as part of an integrated, multicomponent intervention.

TRIAL REGISTRATION

Cognitive Remediation & Social Recovery in Early Psychosis (CReSt-R): ClincialTrials.gov Identifier NCT04273685. Trial registered Feb 18th, 2020. Last updated April 14th, 2021.

[COVID-19 and severe mental illness, especially in clozapine use]

The Clozapine Plus Working Group is frequently consulted for advice on measures in case of infection with SARSCoV-2 and on vaccination against COVID-19 in patients receiving clozapine. <p> AIM: Inform about risks of infection with SARS-CoV-2 in patients with severe mental illness (SMI), patients with schizophrenia spectrum disorders (SSD), and patients treated with clozapine. Advise on monitoring of clozapine plasma levels and white blood cell count and differential in COVID-19 and after vaccination, as well as measures to be taken. <p> METHOD: Literature research and case studies. <p> RESULTS: SMI patients and in particular SSD patients have an increased risk of infection with SARS-CoV-2 with more hospitalizations and higher mortality than non-psychiatric patients. Patients using clozapine may be at greater risk of infection. SARS-CoV-2 infection may cause a dangerous increase of clozapine plasma levels and generally mild and short-term granulocytopenia and lymphocytopenia, which are usually not a result of clozapine treatment. <p> CONCLUSION: In case of COVID-19 extra alertness is required in patients with SMI and especially SSD. In clozapine users, in case of COVID-19, reduction in dose by half to three quarters of the original dose is recommended. When patients develop granulocytopenia, SARS-CoV-2 should be considered as the cause and not immediately clozapine. SMI patients and clozapine users in particular belong to a high risk group with a medical indication for early vaccination.

[Validation of the Dutch Glasgow Anti- psychotic Side-Effect Scale for Clozapine]

BACKGROUND

To monitor the unique side effect pattern of clozapine, the Glasgow Antipsychotic Side-effect Scale for Clozapine (GASS-C) was developed in English and validated. This questionnaire was previously translated to Dutch, and revised, but not yet validated.

AIM

The current study concerns the validation of the second revision of the GASS-C-NL-R2 for the Dutch language.

METHOD

Two Spearman correlation tests were conducted to compare GASS-C-NL-R2 with the Dutch version of the Liverpool University Neuroleptic Side-Effect Rating Scale (LUNSERS) at two time p´oints. There was one week between these two time points. The test-retest reliability was determined using a Spearman correlation test and Cronbach's alpha on the GASS-C-NL-R2 between the two time points. In addition, a factor analysis was performed.

RESULTS

Spearman's correlation coefficient between the GASS-C-NL-R2 and the LUNSERS was 0.830 (p < 0.001, n = 72) at the first time point and 0.684 (p < 0.001, n = 50) at the second time point. GASS-C-NL-R2 also had a strong test-retest reliability: Spearman's correlation coefficient was 0.680 (p < 0.001; n = 46), and Cronbach's alpha was 0.847, n = 78. Factor analysis showed that all questions were relevant.

CONCLUSION

The current study shows that GASS-C-NL-R2 is a valid and reliable questionnaire to monitor side effects related to clozapine with a relatively high prevalence. Future studies should focus on the practical utility of GASS-C-NL-R2 with a larger sample size.

GW190521: A Binary Black Hole Merger with a Total Mass of 150 M_{⊙}

On May 21, 2019 at 03:02:29 UTC Advanced LIGO and Advanced Virgo observed a short duration gravitational-wave signal, GW190521, with a three-detector network signal-to-noise ratio of 14.7, and an estimated false-alarm rate of 1 in 4900 yr using a search sensitive to generic transients. If GW190521 is from a quasicircular binary inspiral, then the detected signal is consistent with the merger of two black holes with masses of 85_{-14}^{+21}  M_{⊙} and 66_{-18}^{+17}  M_{⊙} (90% credible intervals). We infer that the primary black hole mass lies within the gap produced by (pulsational) pair-instability supernova processes, with only a 0.32% probability of being below 65  M_{⊙}. We calculate the mass of the remnant to be 142_{-16}^{+28}  M_{⊙}, which can be considered an intermediate mass black hole (IMBH). The luminosity distance of the source is 5.3_{-2.6}^{+2.4}  Gpc, corresponding to a redshift of 0.82_{-0.34}^{+0.28}. The inferred rate of mergers similar to GW190521 is 0.13_{-0.11}^{+0.30}  Gpc^{-3} yr^{-1}.

[Appreciating COVID-19 as a child and adolescent psychiatrist on the move]

COVID-19 is a multi-organ disease due to an infection with the SARS-CoV2 virus. It has become a pandemic in early 2020. The disease appears less devastating in children and adolescents. However, stress, quarantine and eventually mourning have major impacts on development. It is difficult to describe what this pandemic implies for a child psychiatrist, other than by giving a first-hand account. I propose to go through the main ethical questions that have arisen; to describe how my hospital team has reorganized itself to meet the new demands and questions, in particular by opening a unit dedicated to people with autism and challenging behaviors affected by COVID-19; and to address, in a context of national discussion, how the discipline has sought to understand the conditions of a certain well-being during quarantine. Finally, I will try to conclude with more speculative reflections on re-opening.

Baseline low ALT activity is associated with increased long-term mortality after COPD exacerbations

BACKGROUND

COPD exacerbations have negative impact on patients' survival. Several risk factors for grave outcomes of such exacerbations have been descried. Muscle dysfunction and mass loss were shown to impact negatively on prognosis and survival. Low activity of the enzyme ALT (Alanine amino-transferase) in the blood is a known indicator for sarcopenia and frailty, however, no previous studies addressed the association of low ALT amongst patients hospitalized due to COPD exacerbation and long-term survival.

METHODS

This is a historic prospective cohort study of patients hospitalized due to acute COPD exacerbation.

RESULTS

Included were 232 consecutive COPD exacerbation patients. The median time of follow-up was 34.9 months (IQR 23.13-41.73 months). During this period 104 (44.8%) patients died. All patients were grouped to quartiles according to blood ALT levels (after exclusion of cases considered to have hepatic tissue damage (ALT > 40 IU)). The risk of long-term mortality increased, in a statistically significant manner, amongst patients with low ALT values: the median survival of patients with ALT < 11 IU was 18.5 months only while the median survival for the rest of the study group was not reached. For ALT < 11 IU; 12-16 IU; 17-20 IU and > 21 IU the mortality rates were 69%; 40.9%; 36.3 and 25% respectively (p <  0.001 for comparison of lower quartile with upper three quartiles). The crude hazard ratio for mortality amongst patients with ALT levels lower than 11 IU was 2.37 (95% CI; 1.6-3.5). This increased risk of mortality remained significant after adjustment for age, weight, creatinine, albumin concentration and cardiovascular diseases (HR = 1.83; 95% CI 1.08-3.1, p <  0.05).

CONCLUSIONS

Low ALT values, a biomarker of sarcopenia and frailty, are associated with poor long-term survival amongst patients hospitalized due to COPD exacerbation.

Prospects for observing and localizing gravitational-wave transients with Advanced LIGO, Advanced Virgo and KAGRA

We present our current best estimate of the plausible observing scenarios for the Advanced LIGO, Advanced Virgo and KAGRA gravitational-wave detectors over the next several years, with the intention of providing information to facilitate planning for multi-messenger astronomy with gravitational waves. We estimate the sensitivity of the network to transient gravitational-wave signals for the third (O3), fourth (O4) and fifth observing (O5) runs, including the planned upgrades of the Advanced LIGO and Advanced Virgo detectors. We study the capability of the network to determine the sky location of the source for gravitational-wave signals from the inspiral of binary systems of compact objects, that is binary neutron star, neutron star-black hole, and binary black hole systems. The ability to localize the sources is given as a sky-area probability, luminosity distance, and comoving volume. The median sky localization area (90% credible region) is expected to be a few hundreds of square degrees for all types of binary systems during O3 with the Advanced LIGO and Virgo (HLV) network. The median sky localization area will improve to a few tens of square degrees during O4 with the Advanced LIGO, Virgo, and KAGRA (HLVK) network. During O3, the median localization volume (90% credible region) is expected to be on the order of 10 5 , 10 6 , 10 7 Mpc 3 for binary neutron star, neutron star-black hole, and binary black hole systems, respectively. The localization volume in O4 is expected to be about a factor two smaller than in O3. We predict a detection count of 1 - 1 + 12 ( 10 - 10 + 52 ) for binary neutron star mergers, of 0 - 0 + 19 ( 1 - 1 + 91 ) for neutron star-black hole mergers, and 17 - 11 + 22 ( 79 - 44 + 89 ) for binary black hole mergers in a one-calendar-year observing run of the HLV network during O3 (HLVK network during O4). We evaluate sensitivity and localization expectations for unmodeled signal searches, including the search for intermediate mass black hole binary mergers.

P1423 Significantly higher 1-year mortality rate in patients undergoing TAVR with higher right ventricular volumes, as calculated by pre-procedural CT angiography

Background

Cardiac gated computed tomography angiography (CCTA) is the mandatory pre-interventional imaging planning procedure in patients eligible for trans-catheter valve implantation (TAVR). Automated analysis of the cardiac chambers" volumes including the right ventricle (RV), can be obtained from the CCTA and thus contribute to patient selection.

Objectives

To assess the prognostic implications of increased RV volume using a fast automated volumetric analysis software on preprocedural CCTA data among patients undergoing TAVR.

Methods

CCTA of patients who underwent TAVR at two medical centers – Stanford University Medical Center (California, USA) and Tel Aviv Medical Center (Israel) – between 2013 and 2016 were analyzed by an automatic four chamber volumetric analysis (4CVA) software, and grouped according to their RV volume index, into those with the largest RV (upper 5th percentile of RV volume index (&gt;120 ml/m2; n = 16) versus those within the 95th percentile lower volumes index (≤120 ml/m2; n = 307). Differences in baseline characteristics between the groups were adjusted for with a propensity score. The risk for one year mortality following the TAVR was compared between the two groups.

Results

In total 323 patients were included. There were no major differences in background and demographic characteristics between the study groups. A significantly higher 1-year mortality rate was found for patients with large RV (31.3% vs. 7.5%, p = 0.008). After adjustment for clinical characteristics, patients with RV volume index &gt;120 ml/m2 were at almost a 5 times higher risk for 1-year mortality compared to patients with smaller RV (HR 4.9, 95% CI 1.8-13.1, p = 0.002). The addition of echocardiographic parameters to the propensity score did not eliminate the significance of RV volume index &gt;120 ml/m2 as an independent predictor for mortality at 1-year. An analysis of RV as a continuous variable demonstrated that the risk for 1-year mortality increased by 2% for every 1 ml/m2 RV volume enlargement (p = 0.013).

Conclusions

Cardiac volumetric data by CCTA performed for procedural planning may help predict outcome in patients undergoing TAVR.

Abstract P1423 Figure. Cox survival curves according to RVi

Increasing the Astrophysical Reach of the Advanced Virgo Detector via the Application of Squeezed Vacuum States of Light

Current interferometric gravitational-wave detectors are limited by quantum noise over a wide range of their measurement bandwidth. One method to overcome the quantum limit is the injection of squeezed vacuum states of light into the interferometer's dark port. Here, we report on the successful application of this quantum technology to improve the shot noise limited sensitivity of the Advanced Virgo gravitational-wave detector. A sensitivity enhancement of up to 3.2±0.1  dB beyond the shot noise limit is achieved. This nonclassical improvement corresponds to a 5%-8% increase of the binary neutron star horizon. The squeezing injection was fully automated and over the first 5 months of the third joint LIGO-Virgo observation run O3 squeezing was applied for more than 99% of the science time. During this period several gravitational-wave candidates have been recorded.

Maternal immigrant status and signs of neurodevelopmental problems in early childhood

Background

A growing body of evidence suggests that children of immigrants may have increased risks of neurodevelopmental disorders. However, evidence based on parent report and on very young children is lacking. We therefore investigated the association between maternal immigrant status and early signs of neurodevelopmental problems in a population-based sample of two-year-old children using standardized parent-report instruments.

Methods

We used data from the French representative ELFE birth cohort, initiated in 2011. The study sample included 9,900 children of non-immigrant French, 1,403 children of 2nd, and 1,171 children of 1st generation immigrant women followed-up to age two years. Neurodevelopment was assessed using the Modified Checklist for Autism in Toddlers (M-CHAT) and an adaptation of the MacArthur-Bates Communicative Development Inventories (MB-CDI).

Results

In fully adjusted linear regression models, maternal immigrant status was positively associated with M-CHAT scores, with stronger associations in children of 1st (β-coefficient: 0.19; 95% CI 0.08-0.29) than 2nd generation immigrants (0.09; 0.01-0.17). This association was especially strong among children of 1st generation immigrant mothers native of North Africa (vs. non-immigrant French: 0.33; 0.16-0.49) or French-speaking Sub-Saharan Africa (0.26; 0.07-0.45). MB-CDI scores were lowest among children of 1st generation immigrant mothers, particularly from mostly non-francophone regions. Children of 1st generation immigrant mothers were most likely to have simultaneously low MB-CDI and high M-CHAT scores.

Conclusions

Our findings suggest that maternal immigrant status is associated with higher risks of early signs of neurodevelopmental difficulties, with strong variations according to maternal region of origin. Standardized screening instruments may aid the early detection and treatment of these difficulties, helping to address inequalities in neurodevelopmental health in children of immigrants.

Key messages

Children of immigrant mothers in a population-based sample appear to have elevated neurodevelopmental risks, as assessed by maternal report. This is in line with evidence from clinical samples. We found strong variations according to maternal region of origin, with the highest risks in children of 1st generation immigrant mothers from North Africa and French-speaking Sub-Saharan Africa.

Search for Subsolar Mass Ultracompact Binaries in Advanced LIGO's Second Observing Run

We present a search for subsolar mass ultracompact objects in data obtained during Advanced LIGO's second observing run. In contrast to a previous search of Advanced LIGO data from the first observing run, this search includes the effects of component spin on the gravitational waveform. We identify no viable gravitational-wave candidates consistent with subsolar mass ultracompact binaries with at least one component between 0.2  M_{⊙}-1.0  M_{⊙}. We use the null result to constrain the binary merger rate of (0.2  M_{⊙}, 0.2  M_{⊙}) binaries to be less than 3.7×10^{5}  Gpc^{-3} yr^{-1} and the binary merger rate of (1.0  M_{⊙}, 1.0  M_{⊙}) binaries to be less than 5.2×10^{3}  Gpc^{-3} yr^{-1}. Subsolar mass ultracompact objects are not expected to form via known stellar evolution channels, though it has been suggested that primordial density fluctuations or particle dark matter with cooling mechanisms and/or nuclear interactions could form black holes with subsolar masses. Assuming a particular primordial black hole (PBH) formation model, we constrain a population of merging 0.2  M_{⊙} black holes to account for less than 16% of the dark matter density and a population of merging 1.0  M_{⊙} black holes to account for less than 2% of the dark matter density. We discuss how constraints on the merger rate and dark matter fraction may be extended to arbitrary black hole population models that predict subsolar mass binaries.

4071Early changes in quality of life after transcatheter aortic valve replacement: One-year results from the 3M TAVR Study

Background

In patients with severe calcific aortic stenosis, transcatheter aortic valve replacement (TAVR) has been shown to significantly improve quality of life (QOL). However, changes in QOL at early follow-up (<1 month), and following next-day discharge are poorly understood.

Methods

A total of 411 patients at 13 centers were enrolled in the Multimodality, Multidisciplinary but Minimalist TAVR (3M TAVR) study in 2015–2017. QOL was evaluated using the Kansas City Cardiomyopathy Questionnaire (KCCQ-12) in participants with a baseline score and at least one score at 2 weeks, 30 days and 1 year. Study endpoints were change in (1) KCCQ-Overall Summary Score (KCCQ-OS) and (2) minimal clinically important differences (MCID). Mixed effects models were used to explore patterns of change from baseline, with fixed terms for time, status at 1-year and their interaction terms, and a random intercept for subject to account for within subject correlation. Descriptive statistics were used to report MCID.

Results

Data were available for 358 (87.1%) participants. 216 (60.3%) were men with a median age 84.0 and STS 5.0 There was significant increase in QOL 2 weeks after TAVR (p≤0.01), and further significant improvement at the 1-month timepoint (p<0.01) for participants who were alive at 1 year. Sex, age category, and STS score category did not have a significant effect on the change in QOL (p>0.05). In the first 2 weeks, moderate (10–20 points) and large (>20 points) improvements were observed in 19.9% and 49.0% of the surviving patients, respectively; at 1-year, similar MCID were seen in 14.6% and 64.0% respectively.

Figure 1

Conclusion

This is the first study to report significant increase in QOL 2 weeks after TAVR, with sustained improvement during the first year in patients treated with the Vancouver TAVR Clinical Pathway with a goal of next-day discharge. Further studies are necessary to determine whether alternative TAVR clinical pathways yield similar findings.

Acknowledgement/Funding

Investigator-initiated unrestricted research grant, Edwards

Tests of General Relativity with GW170817

The recent discovery by Advanced LIGO and Advanced Virgo of a gravitational wave signal from a binary neutron star inspiral has enabled tests of general relativity (GR) with this new type of source. This source, for the first time, permits tests of strong-field dynamics of compact binaries in the presence of matter. In this Letter, we place constraints on the dipole radiation and possible deviations from GR in the post-Newtonian coefficients that govern the inspiral regime. Bounds on modified dispersion of gravitational waves are obtained; in combination with information from the observed electromagnetic counterpart we can also constrain effects due to large extra dimensions. Finally, the polarization content of the gravitational wave signal is studied. The results of all tests performed here show good agreement with GR.

Doctors' decisions when disclosing their mental ill-health

BACKGROUND

Understanding of what prevents doctors from seeking help for mental ill-health has improved. However, less is known about what promotes timely disclosure and the nature of doctors' decision making.

AIMS

This study aimed to define how doctors make decisions about their own mental ill-health, and what facilitates disclosure. It explored the disclosure experiences of doctors and medical students; their attitudes to their decisions, and how they evaluate potential outcomes.

METHODS

Qualitative, semi-structured interviews with UK doctors and medical students with personal experience of mental ill-health. Participants were recruited through relevant organizations, utilizing regular communications such as newsletters, e-mails and social media. Data were subject to a thematic analysis.

RESULTS

Forty-six interviews were conducted. All participants had disclosed their mental ill-health to someone; not all to their workplace. Decision making was complex, with many participants facing multiple decisions throughout their careers. Disclosures were made despite the many obstacles identified in the literature; participants described enablers to and benefits of disclosing. The importance of appropriate responses to first disclosures was highlighted.

CONCLUSIONS

Motivations to disclose mental ill-health are complex and multifactorial. An obstacle for one was an enabler for another. Understanding this and the importance of the first disclosure has important implications for how best to support doctors and medical students in need.

Higher ER load is not associated with better outcome in stage 1-3 breast cancer: a descriptive overview of quantitative HR analysis in operable breast cancer

Purpose

In breast cancer, hormone receptor (HR) status is generally a qualitative measure; positive or negative. Quantitatively measured oestrogen and progesterone receptors (ER and PR) are frequently proposed prognostic and predictive markers, some guidelines even provide different treatment options for patients with strong versus weak expression.

Aim

To evaluate quantitative HR load assessed by immunohistochemistry as a prognostic and predictive measure in stage 1–3 breast cancer.

Methods

We reviewed all the available literature on quantitatively measured HRs using immunohistochemistry.

Results

All included studies (n = 19) comprised a cohort of 30,754 patients. Only 2 out of 17 studies found a clear correlation between higher quantitative ER and better disease outcome. Only one trial examined quantitative ER both as prognostic and predictive marker and found no association between ER% and survival. Ten studies examined quantitative PR load, only two of those found a significant correlation between higher PR load and better disease outcome. Two trials examined quantitative PR both as prognostic and predictive marker, neither found any association between PR% and disease outcome.

Conclusions

There is no clear evidence for using quantitatively assessed ER and PR as prognostic nor predictive marker in patients with stage 1–3 breast cancer. We recommend only using a qualitative HR status in future guidelines and treatment considerations.

Electronic supplementary material

The online version of this article (10.1007/s10549-019-05233-9) contains supplementary material, which is available to authorized users.

Toward a motor signature in autism: Studies from human-machine interaction

BACKGROUND

Autism spectrum disorder (ASD) is a heterogeneous group of neurodevelopmental disorders which core symptoms are impairments in socio-communication and repetitive symptoms and stereotypies. Although not cardinal symptoms per se, motor impairments are fundamental aspects of ASD. These impairments are associated with postural and motor control disabilities that we investigated using computational modeling and developmental robotics through human-machine interaction paradigms.

METHOD

First, in a set of studies involving a human-robot posture imitation, we explored the impact of 3 different groups of partners (including a group of children with ASD) on robot learning by imitation. Second, using an ecological task, i.e. a real-time motor imitation with a tightrope walker (TW) avatar, we investigated interpersonal synchronization, motor coordination and motor control during the task in children with ASD (n=29), TD children (n=39) and children with developmental coordination disorder (n=17, DCD).

RESULTS

From the human-robot experiments, we evidenced that motor signature at both groups' and individuals' levels had a key influence on imitation learning, posture recognition and identity recognition. From the more dynamic motor imitation paradigm with a TW avatar, we found that interpersonal synchronization, motor coordination and motor control were more impaired in children with ASD compared to both TD children and children with DCD. Taken together these results confirm the motor peculiarities of children with ASD despite imitation tasks were adequately performed.

DISCUSSION

Studies from human-machine interaction support the idea of a behavioral signature in children with ASD. However, several issues need to be addressed. Is this behavioral signature motoric in essence? Is it possible to ascertain that these peculiarities occur during all motor tasks (e.g. posture, voluntary movement)? Could this motor signature be considered as specific to autism, notably in comparison to DCD that also display poor motor coordination skills? We suggest that more work comparing the two conditions should be implemented, including analysis of kinematics and movement smoothness with sufficient measurement quality to allow spectral analysis.

Constraining the p-Mode-g-Mode Tidal Instability with GW170817

We analyze the impact of a proposed tidal instability coupling p modes and g modes within neutron stars on GW170817. This nonresonant instability transfers energy from the orbit of the binary to internal modes of the stars, accelerating the gravitational-wave driven inspiral. We model the impact of this instability on the phasing of the gravitational wave signal using three parameters per star: an overall amplitude, a saturation frequency, and a spectral index. Incorporating these additional parameters, we compute the Bayes factor (lnB_{!pg}^{pg}) comparing our p-g model to a standard one. We find that the observed signal is consistent with waveform models that neglect p-g effects, with lnB_{!pg}^{pg}=0.03_{-0.58}^{+0.70} (maximum a posteriori and 90% credible region). By injecting simulated signals that do not include p-g effects and recovering them with the p-g model, we show that there is a ≃50% probability of obtaining similar lnB_{!pg}^{pg} even when p-g effects are absent. We find that the p-g amplitude for 1.4  M_{⊙} neutron stars is constrained to less than a few tenths of the theoretical maximum, with maxima a posteriori near one-tenth this maximum and p-g saturation frequency ∼70  Hz. This suggests that there are less than a few hundred excited modes, assuming they all saturate by wave breaking. For comparison, theoretical upper bounds suggest ≲10^{3} modes saturate by wave breaking. Thus, the measured constraints only rule out extreme values of the p-g parameters. They also imply that the instability dissipates ≲10^{51}  erg over the entire inspiral, i.e., less than a few percent of the energy radiated as gravitational waves.

Search for Subsolar-Mass Ultracompact Binaries in Advanced LIGO's First Observing Run

We present the first Advanced LIGO and Advanced Virgo search for ultracompact binary systems with component masses between 0.2  M_{⊙}-1.0  M_{⊙} using data taken between September 12, 2015 and January 19, 2016. We find no viable gravitational wave candidates. Our null result constrains the coalescence rate of monochromatic (delta function) distributions of nonspinning (0.2  M_{⊙}, 0.2  M_{⊙}) ultracompact binaries to be less than 1.0×10^{6}  Gpc^{-3}  yr^{-1} and the coalescence rate of a similar distribution of (1.0  M_{⊙}, 1.0  M_{⊙}) ultracompact binaries to be less than 1.9×10^{4}  Gpc^{-3}  yr^{-1} (at 90% confidence). Neither black holes nor neutron stars are expected to form below ∼1  M_{⊙} through conventional stellar evolution, though it has been proposed that similarly low mass black holes could be formed primordially through density fluctuations in the early Universe and contribute to the dark matter density. The interpretation of our constraints in the primordial black hole dark matter paradigm is highly model dependent; however, under a particular primordial black hole binary formation scenario we constrain monochromatic primordial black hole populations of 0.2  M_{⊙} to be less than 33% of the total dark matter density and monochromatic populations of 1.0  M_{⊙} to be less than 5% of the dark matter density. The latter strengthens the presently placed bounds from microlensing surveys of massive compact halo objects (MACHOs) provided by the MACHO and EROS Collaborations.