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Background: Falls are a common cause of injury, hospitalization, functional decline, and residential care admission among older adults. Cardiovascular disorders are recognized risk factors for falls. This systematic review assesses the association between cardiovascular disorders and falls in older adults., Methods: Systematic searches were conducted on MEDLINE and Embase, encompassing all literature published prior to December 31, 2022. Included studies addressed persons aged 50 years and older, and assessed the association between cardiovascular disorders and falls or the efficacy of cardiovascular-based interventions to reduce falls. Two reviewers independently extracted data and assessed study quality utilizing a modified Newcastle-Ottawa scale for observational studies, and the Cochrane Risk of Bias 2 tool for interventional studies. A systematic narrative analysis of all cardiovascular outcomes, and meta-analyses of unadjusted odds ratios (ORs) were performed., Results: One hundred and eighty-four studies were included: 181 observational and 3 interventional. Several cardiovascular disorders, including stroke, coronary artery disease, valvular heart disease, arterial stiffness, arrhythmia, orthostatic hypotension, and carotid sinus hypersensitivity, were consistently associated with falls. In meta-analysis of unadjusted ORs, the largest positive pooled associations with falls during a 12-month reporting interval were for stroke (OR: 1.90, 95% confidence interval [CI]: 1.70-2.11), peripheral arterial disease (OR: 1.82, 95% CI: 1.12-2.95), atrial fibrillation (OR: 1.52, 95% CI: 1.27-1.82), and orthostatic hypotension (OR: 1.39, 95% CI: 1.18-1.64)., Conclusions: Several cardiovascular disorders are associated with falls. These results suggest the need to incorporate cardiovascular assessments for patients with falls. This review informed the cardiovascular recommendations in the new World Guidelines for falls in older adults.Clinical Trials Registration Number: CRD42021272245., (© The Author(s) 2023. Published by Oxford University Press on behalf of The Gerontological Society of America.)

Competing Interests: Competing interests: None declared.

Background: There is an established bidirectional relationship between mental and heart health in later life but the link between wish to die (WTD) and cardiovascular mortality is less well-defined., Methods: This is a longitudinal study examining the association between WTD and mortality over 9-year follow-up in a large population-representative sample of older adults. Individual-level survey data was linked to official death registration data, divided into cardiovascular and noncardiovascular causes. WTD was defined as answering affirmatively when asked 'In the last month, have you felt that you would rather be dead?' Regression models were used to obtain hazard ratios for the association between WTD at Wave 1 and mortality. Kaplan-Meier plots were used to compare survival across groups., Results: Just over 3% (275/8124) of participants reported WTD. Mortality data was available for 9% of participants (755/8124). WTD was significantly associated with all-cause mortality, with a hazard ratio of 1.41 (95% confidence interval [CI]: 1.00-1.99). Findings were attenuated and no longer significant after excluding participants with heart disease or depression/anxiety/other psychiatric illness. WTD was significantly associated with cardiovascular mortality (hazard ratio: 2.14 [95% CI: 1.21-3.78]), even after excluding participants with depression/anxiety/other illnesses but not heart disease. WTD was not associated with an increased risk of death due to non-cardiovascular causes., Conclusions: Older people who report a wish to die have double the risk of death from cardiovascular disease in the following 9 years, even when those with depression, anxiety or other mental health problems are excluded., (© 2021 The Authors. International Journal of Geria=tricPsychiatry published by John Wiley & Sons Ltd.)

Background: There is increasing policy interest in the consideration of frailty measures (rather than chronological age alone) to inform more equitable allocation of health and social care resources. In this study the Clinical Frailty Scale (CFS) classification tree was applied to data from The Irish Longitudinal Study on Ageing (TILDA) and correlated with health and social care utilisation. CFS transitions over time were also explored. Methods: Applying the CFS classification tree algorithm, secondary analyses of TILDA data were performed to examine distributions of health and social care by CFS categories using descriptive statistics weighted to the population of Ireland aged ≥65 years at Wave 5 (n=3,441; mean age 74.5 (SD ±7.0) years, 54.7% female). CFS transitions over 8 years and (Waves 1-5) were investigated using multi-state Markov models and alluvial charts. Results : The prevalence of CFS categories at Wave 5 were: 6% 'very fit', 36% 'fit', 31% 'managing well', 16% 'vulnerable', 6% 'mildly frail', 4% 'moderately frail' and 1% 'severely frail'. No participants were 'very severely frail' or 'terminally ill'. Increasing CFS categories were associated with increasing hospital and community health services use and increasing hours of formal and informal social care provision. The transitions analyses suggested CFS transitions are dynamic, with 2-year probability of transitioning from 'fit' (CFS1-3) to 'vulnerable' (CFS4), and 'fit' to 'frail' (CFS5+) at 34% and 6%, respectively. 'Vulnerable' and 'frail' had a 22% and 17% probability of reversal to 'fit' and 'vulnerable', respectively. Conclusions: Our results suggest that the CFS classification tree stratified the TILDA population aged ≥65 years into subgroups with increasing health and social care needs. The CFS could be used to aid the allocation of health and social care resources in older people in Ireland. We recommend that CFS status in individuals is reviewed at least every 2 years., Competing Interests: No competing interests were disclosed., (Copyright: © 2021 O'Halloran AM et al.)

Previous research cross-sectionally characterised eight morphological systolic blood pressure (SBP) active stand (AS) patterns using a clinical clustering approach at Wave 1 (W1) of the Irish Longitudinal Study on Ageing. We explored the longitudinal stability and clinical associations of these groupings at Wave 3 (W3), four years later. Eight AS groups had their clinical characteristics and AS patterns at W3 compared to W1. We explored longitudinal associations (new cognitive decline, falls, syncope, disability, and mortality) using multivariate logistic regression models. In total, 2938 participants (60% of Wave 1 sample) had adequate AS data from both W1 and 3 for analysis. We found no longitudinal stability of the eight AS groups or their morphological patterns between the waves. A pattern of impaired stabilisation and late deficit seemed more preserved and was seen in association with new cognitive decline (OR 1.63, 95% CI: 1.12-2.36, p = 0.011). An increase in antihypertensive usage seemed associated with reduced immediate SBP drops, improved AS patterns, and reduced orthostatic intolerance (OI). In pure longitudinal groups, AS patterns were not preserved after 4 years. AS patterns are longitudinally dynamic, and improvements after 4 years are possible even in the presence of higher antihypertensive burden.

Background: Orthostatic hypotension (OH) can be assessed with non-invasive continuous beat-to-beat haemodynamic monitoring during active stand (AS) testing; this yields large volumes of data outside the scope of the traditional OH definition. We explored clinical associations of different AS patterns in participants from Wave 1 of the Irish Longitudinal Study on Ageing., Methods: AS patterns were generated based on three sequential binary systolic blood pressure features: drop ≥40 mmHg within 10 sec post-stand ("immediate deficit"), failure to return to within 20 mmHg of supine level at 40 sec after standing ("stabilisation deficit") and drop ≥20 mmHg between >40 and 120 sec post-stand ("late deficit"). Eight AS groups resulted from combining the presence/absence of these three features. The groups were cross-sectionally characterised, and their ability to independently predict orthostatic intolerance (OI) during AS, and falls or syncope in the past year, was evaluated using multivariate logistic regression models., Results: A total of 4,899 participants were included (mean age 61), of which 3,312 (68%) had no deficits. Older age was associated with stabilisation deficit and late deficits were seen in groups with higher proportions of beta blockers and psychotropic medications. Regression models identified independent associations between OI and three immediate-deficit groups; associations seemed stronger as more deficits were present. There was a significant association between falls history and the three-deficit group (odds ratio 1.54, 95% confidence interval: 1.15-2.07, P = 0.004)., Conclusions: More deficits seemed associated with the higher risk of OI and falls history. Observations are not causal but the recognition of these patterns may help clinicians focus on careful prescribing., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Geriatrics Society. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: The long-term clinical and physiological consequences of COVID-19 infection remain unclear. While fatigue has emerged as a common symptom following infection, little is known about its links with autonomic dysfunction. SARS-CoV-2 is known to infect endothelial cells in acute infection, resulting in autonomic dysfunction. Here we set out to test the hypothesis that this results in persistent autonomic dysfunction and is associated with post-COVID fatigue in convalescent patients., Methods: We recruited 20 fatigued and 20 non-fatigued post-COVID patients (median age 44.5 years, 36/40 (90%) female, median time to follow up 166.5 days). Fatigue was assessed using the Chalder Fatigue Scale. These underwent the Ewing's autonomic function test battery, including deep breathing, active standing, Valsalva manoeuvre and cold-pressor testing, with continuous electrocardiogram and blood pressure monitoring, as well as near-infrared spectroscopy-based cerebral oxygenation. 24-hour ambulatory blood pressure monitoring was also conducted, and patients completed the generalised anxiety disorder-7 questionnaire. We assessed between-group differences in autonomic function test results and used unadjusted and adjusted linear regression to investigate the relationship between fatigue, anxiety, and autonomic test results., Results: We found no pathological differences between fatigued and non-fatigued patients on autonomic testing or on 24-hour blood pressure monitoring. Symptoms of orthostatic intolerance were reported by 70% of the fatigued cohort at the time of active standing, with no associated physiological abnormality detected. Fatigue was strongly associated with increased anxiety (p <0.001), with no patients having a pre-existing diagnosis of anxiety., Conclusions: These results demonstrate the significant burden of fatigue, symptoms of autonomic dysfunction and anxiety in the aftermath of COVID-19 infection, but reassuringly do not demonstrate pathological findings on autonomic testing., Competing Interests: The authors have declared that no competing interests exist.

In this paper, we study deep learning approaches for monocular visual odometry (VO). Deep learning solutions have shown to be effective in VO applications, replacing the need for highly engineered steps, such as feature extraction and outlier rejection in a traditional pipeline. We propose a new architecture combining ego-motion estimation and sequence-based learning using deep neural networks. We estimate camera motion from optical flow using Convolutional Neural Networks (CNNs) and model the motion dynamics using Recurrent Neural Networks (RNNs). The network outputs the relative 6-DOF camera poses for a sequence, and implicitly learns the absolute scale without the need for camera intrinsics. The entire trajectory is then integrated without any post-calibration. We evaluate the proposed method on the KITTI dataset and compare it with traditional and other deep learning approaches in the literature.

WHAT IS ALREADY KNOWN ABOUT THE TOPIC?: MHST represents transformation at the forefront of policing and mental health to people in crisis with the aim of providing a better and more efficient response. Current knowledge has largely focused on service development, informed by narratives of risk, and this study applies an alternative focus by considering the interplay in practice. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: This paper adds to emerging work on mental health street triage, offering original insights into the interplay of police officers and mental health nurses in practice. The evidence presented shows how the dynamics between officers and nurses were informed by perceptions of trust, belonging and legitimacy which shaped decision-making and outcomes. This study also reveals the impacts of leadership continuity and staff turnover to service efficacy and the potential of strategic "drift." WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Nurses who work in MHST operations should be prepared to share knowledge, learning and insight into how different mental health conditions present in practice and support the assessment of risk posed to officers. Alternative pathways available to detainment by police under the Mental Health Act should be identified and communicated to officers, both in the control room and in situ, to avoid unnecessary detentions. Strategies should be developed to extend the communication of mental health education and knowledge beyond those immediately involved in MHST to support the police to better respond to mental health. ABSTRACT: Introduction The limited evidence on mental health street triage (MHST) is largely focused on service development and is overly police-centric dominated by narratives of risk. This paper considers the interplay between officers and CPNs in practice situated within strategic and operational contexts, illustrating the importance of place to service developments and trust within practice. Aim This study was conducted to compare the processes, experiences and perceptions of MHST in three sites in England. Method Semi-structured interviews were completed with 27 police and health service staff in strategic and operational roles over a three-month period in three sites in England. Results Four themes were identified: "Reducing and improving the use of mental health detainments," "Importance of local contexts and partnerships," "Enhancing officer confidence" and "Developing street triage." Discussion Mental health street triage decision-making and outcomes were influenced by issues of trust, belonging and legitimacy within the interplay between officers and nurses. Continuity and staff turnover influenced strategic and operational development. However, MHST was perceived to be an effective and cost-saving model. Implications for practice Mental health nurses are well positioned to lead awareness and education of officers in relation to mental health crisis response. Staff need to develop communication strategies that extend beyond those immediately involved in MHST., (© 2019 John Wiley & Sons Ltd.)

The required precision for attitude determination in spacecraft is increasing, providing a need for more accurate attitude determination sensors. The star sensor or star tracker provides unmatched arc-second precision and with the rise of micro satellites these sensors are becoming smaller, faster and more efficient. The most critical component in the star sensor system is the lost-in-space star identification algorithm which identifies stars in a scene without a priori attitude information. In this paper, we present an efficient lost-in-space star identification algorithm using a neural network and a robust and novel feature extraction method. Since a neural network implicitly stores the patterns associated with a guide star, a database lookup is eliminated from the matching process. The search time is therefore not influenced by the number of patterns stored in the network, making it constant (O(1)). This search time is unrivalled by other star identification algorithms. The presented algorithm provides excellent performance in a simple and lightweight design, making neural networks the preferred choice for star identification algorithms.

A 38-year-old woman presented with a history of recurrent episodes of transient loss of consciousness (TLOC) with seizure-like activity and post-TLOC left sided paresis. Electroencephalogram and MRI of the brain were normal, and events were not controlled by anti-convulsant therapy. Tilt testing produced reflex mixed pattern vasovagal syncope, with exact symptom reproduction, including bilateral upper and lower limb myoclonic movements and post-TLOC left hemiparesis that persisted for 27 min. A witness for the tilt event confirmed reproduction of patients 'typical' TLOC event. Syncope is the most frequent cause of TLOC. Myoclonic movements during syncope are not uncommon and can be misdiagnosed as epilepsy. It is rare to experience paresis after syncope, which in this case, lead to misdiagnosis and unnecessary anti-convulsant treatment., Competing Interests: Competing interests: None declared., (© BMJ Publishing Group Limited 2020. No commercial re-use. See rights and permissions. Published by BMJ.)

The lost-in-space star identification algorithm is able to identify stars without a priori attitude information and is arguably the most critical component of a star sensor system. In this paper, the 2009 survey by Spratling and Mortari is extended and recent lost-in-space star identification algorithms are surveyed. The covered literature is a qualitative representation of the current research in the field. A taxonomy of these algorithms based on their feature extraction method is defined. Furthermore, we show that in current literature the comparison of these algorithms can produce inconsistent conclusions. In order to mitigate these inconsistencies, this paper lists the considerations related to the relative performance evaluation of these algorithms using simulation.

Purpose: Circulating tumor cells (CTCs) have clinical relevance, but their study has been limited by their low frequency. Experimental Design: We evaluated liquid biopsies by apheresis to increase CTC yield from patients suffering from metastatic prostate cancer, allow precise gene copy-number calls, and study disease heterogeneity. Results: Apheresis was well tolerated and allowed the separation of large numbers of CTCs; the average CTC yield from 7.5 mL of peripheral blood was 167 CTCs, whereas the average CTC yield per apheresis (mean volume: 59.5 mL) was 12,546 CTCs. Purified single CTCs could be isolated from apheresis product by FACS sorting; copy-number aberration (CNA) profiles of 185 single CTCs from 14 patients revealed the genomic landscape of lethal prostate cancer and identified complex intrapatient, intercell, genomic heterogeneity missed on bulk biopsy analyses. Conclusions: Apheresis facilitated the capture of large numbers of CTCs noninvasively with minimal morbidity and allowed the deconvolution of intrapatient heterogeneity and clonal evolution. Clin Cancer Res; 24(22); 5635-44. ©2018 AACR ., (©2018 American Association for Cancer Research.)

Purpose: CHD1 deletions and SPOP mutations frequently cooccur in prostate cancer with lower frequencies reported in castration-resistant prostate cancer (CRPC). We monitored CHD1 expression during disease progression and assessed the molecular and clinical characteristics of CHD1 -deleted/ SPOP -mutated metastatic CRPC (mCRPC). Experimental Design: We identified 89 patients with mCRPC who had hormone-naive and castration-resistant tumor samples available: These were analyzed for CHD1, PTEN, and ERG expression by IHC. SPOP status was determined by targeted next-generation sequencing (NGS). We studied the correlations between these biomarkers and (i) overall survival from diagnosis; (ii) overall survival from CRPC; (iii) duration of abiraterone treatment; and (iv) response to abiraterone. Relationship with outcome was analyzed using Cox regression and log-rank analyses. Results: CHD1 protein loss was detected in 11 (15%) and 13 (17%) of hormone-sensitive prostate cancer (HSPC) and CRPC biopsies, respectively. Comparison of CHD1 expression was feasible in 56 matched, same patient HSPC and CRPC biopsies. CHD1 protein status in HSPC and CRPC correlated in 55 of 56 cases (98%). We identified 22 patients with somatic SPOP mutations, with six of these mutations not reported previously in prostate cancer. SPOP mutations and/or CHD1 loss was associated with a higher response rate to abiraterone (SPOP: OR, 14.50 P = 0.001; CHD1: OR, 7.30, P = 0.08) and a longer time on abiraterone (SPOP: HR, 0.37, P = 0.002, CHD1: HR, 0.50, P = 0.06). Conclusions: SPOP -mutated mCRPCs are strongly enriched for CHD1 loss. These tumors appear highly sensitive to abiraterone treatment. Clin Cancer Res; 24(22); 5585-93. ©2018 AACR ., (©2018 American Association for Cancer Research.)

Objectives: There is potential for high radiation exposure during neurointerventional procedures. Increasing regulatory requirements mandate dose monitoring of patients and staff, and justification of high levels of radiation exposure. This paper demonstrates the potential to use radiation dose-tracking software to establish local diagnostic reference levels., Methods: Consecutive neurointerventional procedures, performed in a single institution within a one-year period, were retrospectively studied. Dose area product (DAP) data were collected using dose-tracking software and clinical data obtained from a prospectively generated patient treatment database., Results: Two hundred and sixty-four procedures met the selection criteria. Median DAP was 100 Gy.cm 2 for aneurysm coiling procedures, 259 Gy.cm 2 for arteriovenous malformation (AVM) embolisation procedures, 87 Gy.cm 2 for stroke thrombolysis/thrombectomy, and 74 Gy.cm 2 for four-vessel angiography. One hundred and nine aneurysm coiling procedures were further studied. Six significant variables were assessed using stepwise regression analysis to determine effect on DAP. Aneurysm location (anterior vs posterior circulation) had the single biggest effect (p = 0.004)., Conclusions: This paper confirms variable radiation exposures during neurointerventional procedures. The 75th percentile (used to define diagnostic reference levels) of DAP measurements represents a reasonable guidance metric for monitoring purposes. Results indicate that aneurysm location has the greatest impact on dose during coiling procedures and that anterior and posterior circulation coiling procedures should have separate diagnostic reference levels., Key Points: • Dose-tracking software is useful for monitoring patient radiation dose during neurointerventional procedures • This paper provides a template for methodology applicable to any interventional suite • Local diagnostic reference levels were defined by using the 75th percentile of DAP as per International Commission on Radiological Protection recommendations • Aneurysm location is the biggest determinant of radiation dose during coiling procedures. • Anterior and posterior circulation coiling procedures should have separate diagnostic reference levels.

Embedded systems control and monitor a great deal of our reality. While some "classic" features are intrinsically necessary, such as low power consumption, rugged operating ranges, fast response and low cost, these systems have evolved in the last few years to emphasize connectivity functions, thus contributing to the Internet of Things paradigm. A myriad of sensing/computing devices are being attached to everyday objects, each able to send and receive data and to act as a unique node in the Internet. Apart from the obvious necessity to process at least some data at the edge (to increase security and reduce power consumption and latency), a major breakthrough will arguably come when such devices are endowed with some level of autonomous "intelligence". Intelligent computing aims to solve problems for which no efficient exact algorithm can exist or for which we cannot conceive an exact algorithm. Central to such intelligence is Computer Vision (CV), i.e., extracting meaning from images and video. While not everything needs CV, visual information is the richest source of information about the real world: people, places and things. The possibilities of embedded CV are endless if we consider new applications and technologies, such as deep learning, drones, home robotics, intelligent surveillance, intelligent toys, wearable cameras, etc. This paper describes the Eyes of Things (EoT) platform, a versatile computer vision platform tackling those challenges and opportunities., Competing Interests: The authors declare no conflict of interest.