Cardiovascular Disorders and Falls Among Older Adults: A Systematic Review and Meta-Analysis.

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.

Informing patterns of health and social care utilisation in Irish older people according to the Clinical Frailty Scale.

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.

Eight Orthostatic Haemodynamic Patterns in The Irish Longitudinal Study on Ageing (TILDA): Stability and Clinical Associations after 4 Years.

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.

'Wish to die' is independently associated with cardiovascular mortality in later life. Data from TILDA.

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.

Leveraging Deep Learning for Visual Odometry Using Optical Flow.

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.

Fatigue following COVID-19 infection is not associated with autonomic dysfunction.

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.

Clinical clustering of eight orthostatic haemodynamic patterns in The Irish Longitudinal Study on Ageing (TILDA).

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.

Efficient Star Identification Using a Neural Network.

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.

Todd's paresis following vasovagal syncope provoked by tilt-table testing.

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.

A Survey of Lost-in-Space Star Identification Algorithms since 2009.

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.

Sports participation and fracture in older Australian men.

Older men who participated in a sporting activity were less likely to sustain any fracture or major osteoporotic fracture over a 6-year follow-up period. PURPOSE: Regular weight-bearing physical activity can reduce fracture risk through an increase in bone strength, as well as reducing falls risk by improving muscle strength and balance. In this study, we aimed to determine whether a specific type of physical activity, sports participation, reduces fracture risk in older Australian men. METHODS: Participation in sporting activities was documented for men aged 60 years and over enrolled in the Geelong Osteoporosis Study situated in south-eastern Australia. Fractures at any skeletal site (excluding skull, face, fingers and toes) and major osteoporotic fracture sites (MOF; wrist, proximal humerus, spine and hip) were ascertained through examination of radiological reports (median follow-up 6.63 years, IQR 5.58-7.29). Multivariable logistic regression was used to investigate the association between sports participation (either binary or continuous) and any fracture or MOF. Other clinical measures and lifestyle variables (such as comorbidity, falls and mobility) were included as potential confounders. RESULTS: During follow-up, 82 of 656 men (12.5%) sustained at least one fracture at any site and 58 sustained at least one MOF (8.8%). Of those who did and did not fracture (any site), 17 (20.7%) and 204 (35.5%) participated in at least one sporting activity. For MOF, the values were 11 (19.0%) and 210 (35.1%), respectively. Participation in any sporting activity was associated with a reduction in the likelihood of any fracture during follow-up (unadjusted: OR 0.47, 95%CI 0.27-0.83), which persisted after adjusting for other factors (adjusted: OR 0.52, 95%CI 0.29-0.91). The results for MOF were similar (unadjusted: OR 0.43, 0.22-0.85; adjusted 0.48, 0.24-0.95). When considering sports participation as a continuous variable, a trend was observed (adjusted: p = 0.051 and p = 0.059 for any and MOF, respectively). A sensitivity analysis showed similar results when excluding men who reported using a walking aid. CONCLUSIONS: In this group of older men, participation in sporting activity was associated with a reduced risk of fracture during the subsequent follow-up period.

Eyes of Things.

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.

Maternal Nutrition During Pregnancy: Intake of Nutrients Important for Bone Health.

Objectives Maternal nutrition during pregnancy plays an important role in predisposing offspring to the development of chronic disease in adulthood, including osteoporosis. Our aim was to investigate maternal dietary intakes during pregnancy, with a focus on nutrients important for skeletal development in the offspring. Methods In this case-control study, cases were pregnant women recruited for the Vitamin D in Pregnancy Study (n = 350, age 20-40 years) and controls were non-pregnant peers participating in the Geelong Osteoporosis Study (n = 305, age 20-40 years). Dietary intakes of nutrients were quantified using a validated food frequency questionnaire. Results Compared to controls, cases consumed more energy [median (interquartile range): 7831 (6506-9461) vs. 7136 (6112-8785) kJ/day]; median intakes for cases were greater for carbohydrates [206.2 (172.5-249.9) vs. 188.2 (147.7-217.5) g/day], fat [77.9 (60.3-96.6) vs. 72.1 (53.3-87.4) g/day], potassium [2860 (2363-3442) vs. 2606 (2166-3442) mg/day] and calcium [1022 (819-1264) vs. 918 (782-1264) mg/day] (all p ≤ 0.05). However, pregnant women were not consuming greater amounts of those nutrients which had an increased demand (protein, magnesium, phosphorus and zinc). Similarly, this translated to the likelihood of achieving national recommendations for corresponding nutrients. Conclusions for Practice Compared to their non-pregnant peers, pregnant women were more likely to meet dietary recommendations for calcium and potassium; however, this was not the pattern observed for protein, magnesium and zinc. Future public health messages should perhaps focus on increasing awareness of the importance of all these nutrients during pregnancy.

Humeral Fractures in South-Eastern Australia: Epidemiology and Risk Factors.

In this study, we report the epidemiology and risk factors for humeral fractures (proximal humerus and shaft) among men and women residing in south-eastern Australia. Incident fractures during 2006 and 2007 were identified using X-ray reports (Geelong Osteoporosis Study Fracture Grid). Risk factors were identified using data from case-control studies conducted as part of the Geelong Osteoporosis Study. Median age of fracture was lower in males than females for proximal humerus (33.0 vs 71.2 years), but not for humeral shaft (8.9 vs 8.5 years). For females, proximal humerus fractures occurred mainly in the 70-79 and 80+ years age groups, whereas humeral shaft fractures followed a U-shaped pattern. Males showed a U-shaped pattern for both proximal humerus and humeral shaft fractures. Overall age-standardised incidence rates for proximal humerus fractures in males and females were 40.6 (95% CI 32.7, 48.5) and 73.2 (95% CI 62.2, 84.1) per 100,000 person years, respectively. For humeral shaft fractures, the age-standardised rate was 69.3 (95% CI 59.0, 79.6) for males and 61.5 (95% CI 51.9, 71.0) for females. There was an increase in risk of proximal humerus fractures in men with a lower femoral neck BMD, younger age, prior fracture and higher milk consumption. In pre-menopausal women, increased height and falls were both risk factors for proximal humerus fractures. For post-menopausal women, risk factors associated with proximal humerus fractures included a lower non-milk dairy consumption and sustaining a prior fracture. Humeral shaft fractures in both sexes were sustained mainly in childhood, while proximal humerus fractures were sustained in older adulthood. The overall age-standardised rates of proximal humerus fractures were nearly twice as high in females compared to males, whereas the incidence rates of humeral shaft fractures were similar.

Muscle strength and areal bone mineral density at the hip in women: a cross-sectional study.

BACKGROUND: Muscle strengthening exercises are promoted for building and maintaining a healthy skeleton. We aimed to investigate the relationship between muscle strength and areal bone mineral density (BMD) at the hip in women aged 26-97 years. METHODS: This cross-sectional study utilises data from 863 women assessed for the Geelong Osteoporosis Study. Measures of hip flexor and abductor strength were made using a hand-held dynamometer (Nicholas Manual Muscle Tester). The maximal measure from three trials on each leg was used for analyses. BMD was measured at the hip using dual energy x-ray absorptiometry (DXA; Lunar DPX-L). Total lean mass, body fat mass and appendicular lean mass were determined from whole body DXA scans. Linear regression techniques were used with muscle strength as the independent variable and BMD as the dependent variable. Models were adjusted for age and indices of body composition. RESULTS: Measures of age-adjusted hip flexor strength and hip abductor strength were positively associated with total hip BMD. For each standard deviation (SD) increase in hip flexor strength, the increase in mean total hip BMD (SD) was 10.4 % (p = 0.009). A similar pattern was observed for hip abductor strength, with an increase in mean total hip BMD of 22.8 % (p = 0.025). All associations between hip muscle strength and total hip BMD were independent of height, but were nullified after adjusting for appendicular lean mass or total lean mass. CONCLUSIONS: There was a positive association observed between muscle strength and BMD at the hip. However, this association was explained by measures of lean mass.

Carpal and scaphoid fracture incidence in south-eastern Australia: an epidemiologic study.

UNLABELLED: Carpal fractures were identified by the Geelong Osteoporosis Study Fracture Grid for 2006-2007. Incidence rates were higher in males than females. Males had a lower median age of fracture than females. Females had more fractures on the left side than males. Most fractures were the result of a fall. PURPOSE: In this study, we report the incidence of carpal bone fractures (scaphoid and non-scaphoid) amongst residents from the Barwon Statistical Division over 2 years. METHODS: X-ray reports from imaging centres in the region were used to identify incident fractures during 2006 and 2007. Data were collected as part of the Geelong Osteoporosis Study Fracture Grid. RESULTS: During 2006 and 2007, there were 171 and 41 carpal fractures in males and females, respectively. Of these, 131 males and 29 females had fractured the scaphoid bone. Females had a higher proportion of left-sided fractures (>70 %) than males (∼40 %). Most fractures were the result of an accidental fall (>87 %). Patterns of incidence for males showed one major peak around 20-29 years. For females, peaks occurred around age 10-19 years and 70-79 years. Incidence rates for males (per 100,000 persons per year) were 54.6 (95 % confidence interval (CI) 53.6, 55.7) and 15.9 (95 % CI 15.4, 16.5) for scaphoid and non-scaphoid fractures, respectively. In females, the corresponding rates were 10.6 (95 % CI 10.2, 11.1) and 4.5 (95 % CI 4.2, 4.8). CONCLUSION: Almost all fractures were the result of a fall. In males, carpal fractures were sustained mainly during early adulthood and in females during adolescence and after menopause. Incidence rates for males were higher than those in females for both scaphoid and non-scaphoid fractures.

Development, validation and clinical assessment of a short questionnaire to assess disease-related knowledge in inflammatory bowel disease patients.

OBJECTIVES: Only two inflammatory bowel disease (IBD) knowledge scales are available, both primarily aimed at evaluating the effectiveness of clinical education programs. The aim of this study was to develop and validate a short knowledge questionnaire for clinical and academic research purposes. MATERIAL AND METHODS: Following initial development, the questionnaire was tested on junior doctors, nurses and administrative staff to assess validity. The questionnaire was then assessed and compared with a previous questionnaire in 31 IBD patients. Three hundred and three further patients completed the questionnaire to establish reliability and determine factors independently associated with disease-related knowledge. RESULTS: Doctors answered more questions correctly than nurses who scored better than administrative staff (p < 0.001). There was a fair correlation in scores between the short knowledge questionnaire and a previously validated long survey (r = 0.488; p = 0.005). The short knowledge questionnaire was quicker to complete (p < 0.001), was rated as less difficult to understand (p = 0.004) and induce less anxiety (p = 0.004). Both questionnaires were rated similarly with regard to relevance (p = 0.71). Internal consistency was demonstrated with a Cronbach's alpha of 0.73. In clinical testing on 301 patients, the final multivariate model identified young age, Crohn's disease, higher educational status and the presence of a first-degree family member with IBD as being independently and significantly associated with disease-related knowledge. CONCLUSIONS: The short knowledge questionnaire is a simple, valid, reliable and easy to understand research instrument for rapidly assessing knowledge in IBD patients.