Standing middle cerebral artery velocity predicts cognitive function and gait speed in older adults with cognitive impairment, and is impacted by sex differences.

Upright posture challenges the cerebrovascular system, leading to changes in middle cerebral artery velocity (MCAv) dynamics which are less evident at supine rest. Chronic alterations in MCAv have been linked to hypoperfusion states and the effect that this may have on cognition remains unclear. This study aimed to determine if MCAv and oscillatory metrics of MCAv (ex. pulsatility index, PI) during upright posture are i) associated with cognitive function and gait speed (GS) to a greater extent than during supine rest, and ii) are different between sexes. Beat-by-beat MCAv (transcranial Doppler ultrasound) and mean arterial pressure (MAP, plethysmography) were averaged for 30-seconds during supine-rest through a transition to standing for 53 participants (73±6yrs, 17 females). While controlling for age, multiple linear regressions predicting MoCA scores and GS from age, supine MCAv metrics, and standing MCAv metrics, were completed. Simple linear regressions predicting Montreal Cognitive Assessment (MoCA) score and GS from MCAv metrics were performed separately for females and males. Significance was set to p<0.05. Lower standing diastolic MCAv was a significant (p = 0.017) predictor of lower MoCA scores in participants with mild cognitive impairment, and this relationship only remained significant for males. Lower standing PI was associated with slower GS (p = 0.027, r=-0.306) in both sexes. Our results indicate a relationship between blunted MCAv and altered oscillatory flow profiles during standing, with lower MoCA scores and GS. These relationships were not observed in the supine position, indicating a unique relationship between standing measures of MCAv with cognitive and physical functions.

Vascular Brain Lesions, Cognitive Reserve, and Their Association with Cognitive Profile in Persons with Early-Stage Cognitive Decline.

Background: Cognitive reserve may protect against the effects of brain pathology, but few studies have looked at whether cognitive reserve modifies the adverse effects of vascular brain pathology. Objective: We determined if cognitive reserve attenuates the associations of vascular brain lesions with worse cognition in persons with subjective concerns or mild impairment. Methods: We analyzed 200 participants aged 50-90 years from the Comprehensive Assessment of Neurodegeneration and Dementia (COMPASS-ND) study. Cognition was measured using the Montreal Cognitive Assessment and a neuropsychological test battery. High vascular lesion burden was defined as two or more supratentorial infarcts or beginning confluent or confluent white matter hyperintensity. Cognitive reserve proxies included education, occupational attainment, marital status, social activities, physical activity, household income, and multilingualism. Results: Mean age was 72.8 years and 48% were female; 73.5% had mild cognitive impairment and 26.5% had subjective concerns. Professional/managerial occupations, annual household income≥$60,000 per year, not being married/common law, and high physical activity were independently associated with higher cognition. Higher vascular lesion burden was associated with lower executive function, but the association was not modified by cognitive reserve. Conclusion: Markers of cognitive reserve are associated with higher cognition. Vascular lesion burden is associated with lower executive function. However, cognitive reserve does not mitigate the effects of vascular lesion burden on executive function. Public health efforts should focus on preventing vascular brain injury as well as promoting lifestyle factors related to cognitive reserve, as cognitive reserve alone may not mitigate the effects of vascular brain injury.

The impact of chronotype on circadian rest-activity rhythm and sleep characteristics across the week.

Circadian rhythms are maintained by a complex "system of systems" that continuously coordinates biological processes with each other and the environment. Although humans predominantly entrain to solar time, individual persons vary in their precise behavioral timing due to endogenous and exogenous factors. Endogenous differences in the timing of individual circadian rhythms relative to a common environmental cue are known as chronotypes, ranging from earlier than average (Morningness) to later than average (Eveningness). Furthermore, individual behavior is often constrained by social constructs such as the 7-day week, and the "sociogenic" impact our social calendar has on our behavioral rhythms is likely modified by chronotype. Our aim in this study was to identify and characterize differences in sleep and rest-activity rhythms (RAR) between weekends and weekdays and between-chronotypes. Male volunteers (n = 24, mean age = 23.46 y) were actigraphically monitored for 4 weeks to derive objective behavioral measures of sleep and RARs. Chronotype was assessed through self-report on the Morningness-Eveningness Questionnaire. Sleep characteristics were derived using Actiware; daily rest-activity rhythms were modeled using a basic 3-parameter cosinor function. We observed that both Eveningness and Morningness Chronotypes were more active and slept later on the weekends than on weekdays. Significant between-chronotype differences in sleep timing and duration were observed within individual days of the week, especially during transitions between weekends and the workweek. Moreover, chronotypes significantly varied in their weekly rhythms: e.g. Morningness Chronotypes generally shifted their sleep duration, timing and quality across work/rest transitions quicker than Eveningness Chronotypes. Although our results should be interpreted with caution due to the limitations of our cosinor model and a homogenous cohort, they reinforce a growing body of evidence that day of the week, chronotype and their interactions must be accounted for in observational studies of human behavior, especially when circadian rhythms are of interest.

Corrigendum: Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis.

[This corrects the article DOI: 10.3389/fmed.2020.501104.].

Development of digital measures for nighttime scratch and sleep using wrist-worn wearable devices.

Patients with atopic dermatitis experience increased nocturnal pruritus which leads to scratching and sleep disturbances that significantly contribute to poor quality of life. Objective measurements of nighttime scratching and sleep quantity can help assess the efficacy of an intervention. Wearable sensors can provide novel, objective measures of nighttime scratching and sleep; however, many current approaches were not designed for passive, unsupervised monitoring during daily life. In this work, we present the development and analytical validation of a method that sequentially processes epochs of sample-level accelerometer data from a wrist-worn device to provide continuous digital measures of nighttime scratching and sleep quantity. This approach uses heuristic and machine learning algorithms in a hierarchical paradigm by first determining when the patient intends to sleep, then detecting sleep-wake states along with scratching episodes, and lastly deriving objective measures of both sleep and scratch. Leveraging reference data collected in a sleep laboratory (NCT ID: NCT03490877), results show that sensor-derived measures of total sleep opportunity (TSO; time when patient intends to sleep) and total sleep time (TST) correlate well with reference polysomnography data (TSO: r = 0.72, p < 0.001; TST: r = 0.76, p < 0.001; N = 32). Log transformed sensor derived measures of total scratching duration achieve strong agreement with reference annotated video recordings (r = 0.82, p < 0.001; N = 25). These results support the use of wearable sensors for objective, continuous measurement of nighttime scratching and sleep during daily life.

The Hawthorne Effect in Eye-blinking: Awareness that One's Blinks are Being Counted Alters Blink Behavior.

Purpose: Spontaneous eye-blink rate is the number of involuntary blinks performed during a certain period of time. Assessing blink rate in humans provides valuable physiological and behavioral data for studying neuropathology and emotional states. Cognitive states, including awareness on the part of the subject that his or her blinks are being counted, may influence blink activity and confound blink rate measurements. The goal of this study was to provide direct experimental evaluation of the hypothesis that subject awareness affects tasked-based blink activity. Materials and methods: 30 young healthy adult males with normal vision underwent a series of tasks - viewing images, talking, sitting quietly, and cross fixation - while being video recorded. Each subject completed the tasks naively, then repeated them after being explicitly told their blink rate was being measured. Blink rate was measured through minute-by-minute blink counts by human raters. Results: We found a transitory impact on blink count during the first and third minute of a passive image-viewing task that occurred immediately after subjects were informed of their eye blinks being counted. However, the overall blink rate across the 7-min passive image-viewing task was not influenced. In three other tasks - fixation, silence, and conversation - we observed no statistically significant difference in minute-by-minute blink count or overall blink rate. Conclusions: We conclude that informing a subject that his eye blinks are being counted exerts a modest but significant acute influence on blinking activity, but critically does not appear to confound blink rate over prolonged tasks.

mHealth and wearable technology should replace motor diaries to track motor fluctuations in Parkinson's disease.

Accurately monitoring motor and non-motor symptoms as well as complications in people with Parkinson's disease (PD) is a major challenge, both during clinical management and when conducting clinical trials investigating new treatments. A variety of strategies have been relied upon including questionnaires, motor diaries, and the serial administration of structured clinical exams like part III of the MDS-UPDRS. To evaluate the potential use of mobile and wearable technologies in clinical trials of new pharmacotherapies targeting PD symptoms, we carried out a project (project BlueSky) encompassing four clinical studies, in which 60 healthy volunteers (aged 23-69; 33 females) and 95 people with PD (aged 42-80; 37 females; years since diagnosis 1-24 years; Hoehn and Yahr 1-3) participated and were monitored in either a laboratory environment, a simulated apartment, or at home and in the community. In this paper, we investigated (i) the utility and reliability of self-reports for describing motor fluctuations; (ii) the agreement between participants and clinical raters on the presence of motor complications; (iii) the ability of video raters to accurately assess motor symptoms, and (iv) the dynamics of tremor, dyskinesia, and bradykinesia as they evolve over the medication cycle. Future papers will explore methods for estimating symptom severity based on sensor data. We found that 38% of participants who were asked to complete an electronic motor diary at home missed ~25% of total possible entries and otherwise made entries with an average delay of >4 h. During clinical evaluations by PD specialists, self-reports of dyskinesia were marked by ~35% false negatives and 15% false positives. Compared with live evaluation, the video evaluation of part III of the MDS-UPDRS significantly underestimated the subtle features of tremor and extremity bradykinesia, suggesting that these aspects of the disease may be underappreciated during remote assessments. On the other hand, live and video raters agreed on aspects of postural instability and gait. Our results highlight the significant opportunity for objective, high-resolution, continuous monitoring afforded by wearable technology to improve upon the monitoring of PD symptoms.

Variations in rest-activity rhythm are associated with clinically measured disease severity in Parkinson's disease.

The continuous, longitudinal nature of accelerometry monitoring is well-suited to capturing the regular 24-hour oscillations in human activity across the day, the cumulative effect of our circadian rhythm and behavior. Disruption of the circadian rhythm in turn disrupts rest-activity rhythms. Although circadian disruption is a major feature of Parkinson's disease (PD), rest-activity rhythms and their relationship with disease severity have not been well characterized in PD. 13 PD participants (Hoehn & Yahr Stage [H&Y] 1-3) wore a Philips Actiwatch Spectrum PRO continuously for two separate weeks. Rest-activity rhythms were quantified by fitting an oscillating 24-hour cosinor model to each participant-day of activity data. One-way ANOVAs adjusted for demographics revealed significant variation in the amount (MESOR, F = 12.76, p < .01), range (Amplitude, F = 9.62, p < .01), and timing (Acrophase, F = 2.7, p = .05) of activity across H&Y Stages. Those with higher H&Y Stages were significantly more likely to be active later in the day, where-as those who shifted between H&Y Stages during the study were significantly more active than those who did not change H&Y Stage. Being active later in the day was also significantly associated with higher scores on the Movement Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-UPDRS) Section III (motor symptom severity, p = .02), Section II (self-reported impact of motor symptoms on daily living, p = .01), and Total Score (p = .01) in an adjusted linear regression model; significant associations between MDS-UPDRS scores and activity levels were observed only in the unadjusted model. These findings demonstrate that continuous actigraphy is capable of detecting rest-activity disruption in PD, and provides preliminary evidence that rest-activity rhythms are associated with motor symptom severity and H&Y Stage.

Evaluation of Wearable Technology in Dementia: A Systematic Review and Meta-Analysis.

Background: The objective of this analysis was to systematically review studies employing wearable technology in patients with dementia by quantifying differences in digitally captured physiological endpoints. Methods: This systematic review and meta-analysis was based on web searches of Cochrane Database, PsycInfo, Pubmed, Embase, and IEEE between October 25-31st, 2017. Observational studies providing physiological data measured by wearable technology on participants with dementia with a mean age ≥50. Data were extracted according to PRISMA guidelines and methodological quality assessed independently using Downs and Black criteria. Standardized mean differences between cases and controls were estimated using random-effects models. Results: Forty-eight studies from 18,456 screened abstracts (Dementia: n = 2,516, Control: n = 1,224) met inclusion criteria for the systematic review. Nineteen of these studies were included in one or multiple meta-analyses (Dementia: n = 617, Control: n = 406). Participants with dementia demonstrated lower levels of daily activity (standardized mean difference (SMD), -1.60; 95% CI, -2.66 to -0.55), decreased sleep efficiency (SMD, -0.52; 95% CI, -0.89 to -0.16), and greater intradaily circadian variability (SMD, 0.46; 95% CI, 0.27 to 0.65) than controls, among other measures. Statistical between-study heterogeneity was observed, possibly due to variation in testing duration, device type or patient setting. Conclusions and Relevance: Digitally captured data using wearable devices revealed that adults with dementia were less active, demonstrated increased fragmentation of their sleep-wake cycle and a loss of typical diurnal variation in circadian rhythm as compared to controls.

Use of Predictive Modeling to Plan for Special Event Medical Care During Mass Gathering Events.

OBJECTIVES: In 2010, South Africa (SA) hosted the Fédération Internationale de Football Association (FIFA) World Cup (soccer). Emergency Medical Services (EMS) used the SA mass gathering medicine (MGM) resource model to predict resource allocation. This study analyzed data from the World Cup and compared them with the resource allocation predicted by the SA mass gathering model. METHODS: Prospectively, data were collected from patient contacts at 9 venues across the Western Cape province of South Africa. Required resources were based on the number of patients seeking basic life support (BLS), intermediate life support (ILS), and advanced life support (ALS). Overall patient presentation rates (PPRs) and transport to hospital rates (TTHRs) were also calculated. RESULTS: BLS services were required for 78.4% (n = 1279) of patients and were consistently overestimated using the SA mass gathering model. ILS services were required for 14.0% (n = 228), and ALS services were required for 3.1% (n = 51) of patients. Both ILS and ALS services, and TTHR were underestimated at smaller venues. CONCLUSIONS: The MGM predictive model overestimated BLS requirements and inconsistently predicted ILS and ALS requirements. MGM resource models, which are heavily based on predicted attendance levels, have inherent limitations, which may be improved by using research-based outcomes.

A systematic review of the risk of motor vehicle collision after stroke or transient ischemic attack.

BACKGROUND: Returning to driving after stroke is one of the key goals in stroke rehabilitation, and fitness to drive guidelines must be informed by evidence pertaining to risk of motor vehicle collision (MVC) in this population. OBJECTIVES: The purpose of the present study was to determine whether stroke and/or transient ischemic attack (TIA) are associated with an increased MVC risk. METHODS: We searched MEDLINE, CINAHL, EMBASE, PsycINFO, and TRID through December 2016. Pairs of reviewers came to consensus on inclusion, based on an iterative review of abstracts and full-text manuscripts, on data extraction, and on the quality of evidence. RESULTS: Reviewers identified 5,605 citations, and 12 articles met inclusion criteria. Only one of three case-control studies showed an association between stroke and MVC (OR 1.9, 95% CI 1.0-3.9). Of five cohort reports, only one study, limited to self-report, found an increased risk of MVC associated with stroke or TIA (RR 2.71, 95% CI 1.11-6.61). Two of four cross-sectional studies using computerized driving simulators identified a more than two-fold risk of MVCs among participants with stroke compared with controls. The difference in one of the studies was restricted to those with middle cerebral artery stroke. CONCLUSIONS: The evidence does not support a robust increase in risk of MVCs. While stroke clearly prevents some patients from driving at all and impairs driving performance in others, individualized assessment and clinical judgment must continue to be used in assessing and advising those stroke patients who return to driving about their MVC risk.

The prevalence of unexplained falls and syncope in older adults presenting to an Irish urban emergency department.

AIM: There is growing evidence of an overlap between unexplained falls and syncope in older adults. Our aim was to examine the prevalence and associated resource utilization of these conditions in an urban emergency department (ED). PATIENTS AND METHODS: A single-centre, prospective, observational study was carried out over a 6-month period. Consecutive patients older than 50 years who presented to the ED because of a fall, collapse or syncope were included. Univariate analysis of demographic data is presented as percentages, mean (SD), 95% confidence intervals (CIs) and medians (interquartile range). Logistic regression modelling was used to examine the association between falls and resource utilization. RESULTS: A total of 561 patients fulfilled the inclusion criteria during the study period. Unexplained fallers accounted for 14.3% (n=80; 95% CI: 13.3-15.3) and syncope for 12.7% (n=71; 95% CI: 11.7-13.6) of all fall presentations. Overall, 50% (n=282; 95% CI: 48.20-52.34) of patients required admission to hospital. Patients with syncope [odds ratio (OR)=2.48, 95% CI: 1.45-4.23], and unexplained falls (OR=2.36, 95% CI: 1.37-4.08) were more likely to require admission than those with an explained falls. Unexplained fallers were nearly five times more likely to suffer recurrent falls (OR=4.97, 95% CI: 2.89-8.56). CONCLUSION: One in four older fallers presenting to ED have symptoms suggestive of syncope or an unexplained fall. There are significant biological consequences of recurrent falls including greater rates of cognitive decline, gait and mobility disturbances, depression and frailty. Recognition that syncope can present as an unexplained fall in older adults is important to ensure that appropriate early modifiable interventions are initiated.

Quantification of discrete behavioral components of the MDS-UPDRS.

INTRODUCTION: The Movement Disorder Society's Unified Parkinson's Disease Rating Scale (MDS-UPDRS) is the current gold standard means of assessing disease state in Parkinson's disease (PD). Objective measures in the form of wearable sensors have the potential to improve our ability to monitor symptomology in PD, but numerous methodological challenges remain, including integration into the MDS-UPDRS. We applied a structured video coding scheme to temporally quantify clinical, scripted, motor tasks in the MDS-UPDRS for the alignment and integration of objective measures collected in parallel. METHODS: 25 PD subjects completed two video-recorded MDS-UPDRS administrations. Visual cues of task performance reliably identifiable in video recordings were used to construct a structured video coding scheme. Postural transitions were also defined and coded. Videos were independently coded by two trained non-expert coders and a third expert coder to derive indices of inter-rater agreement. RESULTS: 50 videos of MDS-UPDRS performance were fully coded. Non-expert coders achieved a high level of agreement (Cohen's κ > 0.8) on all postural transitions and scripted motor tasks except for Postural Stability (κ = 0.617); this level of agreement was largely maintained even when more stringent thresholds for agreement were applied. Durations coded by non-expert coders and expert coders were significantly different (p < 0.05) for only Postural Stability and Rigidity, Left Upper Limb. CONCLUSIONS: Non-expert coders consistently and accurately quantified discrete behavioral components of the MDS-UPDRS using a structured video coding scheme; this represents a novel, promising approach for integrating objective and clinical measures into unified, longitudinal datasets.

Barriers to effective, safe communication and workflow between nurses and non-consultant hospital doctors during out-of-hours.

OBJECTIVE: This study aimed to evaluate the nature and type of communication and workflow arrangements between nurses and doctors out-of-hours (OOH). Effective communication and workflow arrangements between nurses and doctors are essential to minimize risk in hospital settings, particularly in the out-of-hour's period. Timely patient flow is a priority for all healthcare organizations and the quality of communication and workflow arrangements influences patient safety. DESIGN: Qualitative descriptive design and data collection methods included focus groups and individual interviews. SETTING: A 500 bed tertiary referral acute hospital in Ireland. PARTICIPANTS: Junior and senior Non-Consultant Hospital Doctors, staff nurses and nurse managers. RESULTS: Both nurses and doctors acknowledged the importance of good interdisciplinary communication and collaborative working, in sustaining effective workflow and enabling a supportive working environment and patient safety. Indeed, issues of safety and missed care OOH were found to be primarily due to difficulties of communication and workflow. Medical workflow OOH is often dependent on cues and communication to/from nursing. However, communication systems and, in particular the bleep system, considered central to the process of communication between doctors and nurses OOH, can contribute to workflow challenges and increased staff stress. It was reported as commonplace for routine work, that should be completed during normal hours, to fall into OOH when resources were most limited, further compounding risk to patient safety. CONCLUSION: Enhancement of communication strategies between nurses and doctors has the potential to remove barriers to effective decision-making and patient flow.

Falls, non-accidental falls and syncope in community-dwelling adults aged 50 years and older: Implications for cardiovascular assessment.

OBJECTIVES: To calculate the prevalence of all falls, non-accidental falls and syncope in an older population and characterize cardiovascular risk profiles. DESIGN: Prospective, longitudinal cohort study. SETTING: The first two waves of data from the Irish Longitudinal Study on Ageing (TILDA). PARTICIPANTS: 8172 community-dwelling adults aged 50 years and older resident in the Republic of Ireland. MEASUREMENTS: Self-reported history of all falls, non-accidental falls and syncope in the year preceding the first two waves of data collection. Demographic factors and self-reported cardiovascular conditions were used to characterize cardiovascular risk profiles. RESULTS: The prevalence of all falls in the past year was 19.2% or 192 per thousand persons and increased with age (50-64 years 17.5%; 65-74 years 19.4%; 75+ years 24.4%). Non-accidental falls had an estimated prevalence of 5.1% or 51 falls per thousand persons and accounted for 26.5% of all falls reported and also increased with age (50-64 years 4.0%; 65-74 years 5.5%; 75+ years 8.0%). The prevalence for syncope was estimated to be 4.4% or 44per thousand persons but did not show a similar age gradient. Participants with at least 5 cardiovascular conditions were more likely to report all falls (OR = 2.07, 95% CI 1.18-3.64, p<0.05) and NAF (OR = 2.89, 95%CI 1.28-6.52, p<0.05). CONCLUSIONS: The prevalence of all falls and non-accidental falls increases with age but the same pattern was not consistently observed for syncope. There is an increased odds of reporting all three outcomes with increasing number of self-reported cardiovascular conditions. Further work is needed to uncover the interplay between cardiovascular disease and subsequent falls.

Long-term cardiac monitoring in older adults with unexplained falls and syncope.

AIMS: Unexplained falls account for 20% of falls in older cohorts. The role of the implantable loop recorder (ILR) in the detection of arrhythmias in patients with unexplained falls is unknown. We aimed to examine the diagnostic utility of the ILR in detection of arrhythmogenic causes of unexplained falls in older patients. METHODS: A single centre, prospective, observational cohort study of recurrent fallers over the age of 50 years with two or more unexplained falls presenting to an emergency department. Insertion of an ILR (Reveal, Medtronic, Minnesota, USA) was used to detect arrhythmia. The primary outcome was detection of cardiac arrhythmia associated with a fall or syncope. The secondary outcome was detection of cardiac arrhythmia independent of falls or syncope, and falls or syncope without associated arrhythmia. RESULTS: Seventy patients, mean age 70 years (51-85 years) received an ILR. In 70% of patients cardiac arrhythmias were detected at a mean time of 47.3 days (SD 48.25). In 20%, falls were attributable to a modifiable cardiac arrhythmia; 10 (14%) received a cardiac pacemaker, 4 (6%) had treatment for supraventricular tachycardia. Patients who had a cardiac arrhythmia detected were more likely to experience a further fall. CONCLUSIONS: 14 (20%) patients demonstrated an arrhythmia which was attributable as the cause of their fall. Patients who have cardiac arrhythmia are significantly more likely to experience future falls. Further research is important to investigate if early detection of arrhythmogenic causes of falls using the ILR prevents future falls in older patients.

The Association of Cardiovascular Disorders and Falls: A Systematic Review.

OBJECTIVE: Cardiovascular disorders are recognized as risk factors for falls in older adults. The aim of this systematic review was to identify cardiovascular disorders that are associated with falls, thus providing angles for optimization of fall-preventive care. DESIGN: Systematic review. DATA SOURCES: Medline and Embase. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: studies addressing persons aged 50 years and older that described cardiovascular risk factors for falls. Key search terms for cardiovascular abnormalities included all synonyms for the following groups: structural cardiac abnormalities, cardiac arrhythmia, blood pressure abnormalities, carotid sinus hypersensitivity (CSH), orthostatic hypotension (OH), vasovagal syncope (VVS), postprandial hypotension (PPH), arterial stiffness, heart failure, and cardiovascular disease. Quality of studies was assed using the Newcastle-Ottawa Scale. RESULTS: Eighty-six studies were included. Of studies that used a control group, most consistent associations with falls were observed for low blood pressure (BP) (4/5 studies showing a positive association), heart failure (4/5), and cardiac arrhythmia (4/6). Higher prevalences of CSH (4/6), VVS (2/2), and PPH (3/4) were reported in fallers compared with controls in most studies, but most of these studies failed to show clear association measures. Coronary artery disease (6/10), orthostatic hypotension (9/25), general cardiovascular disease (4/9), and hypertension (7/25) all showed inconsistent associations with falls. Arterial stiffness was identified as an independent predictor for falls in one study, as were several echocardiographic abnormalities. CONCLUSION: Several cardiovascular associations with falls were identified, including low BP, heart failure, and arrhythmia. These results provide several angles for optimizing fall-preventive care, but further work on standard definitions, as well as the exact contribution of individual risk factors on fall incidence is now important to find potential areas for preventive interventions.

The relationship between syncope, depression and anti-depressant use in older adults.

BACKGROUND: syncope is a common problem which increases in older age groups. In syncope clinics, patients who are depressed have higher rates of unexplained syncope and higher rates of recurrent syncope. OBJECTIVES: : we aim to examine the rates of depression in older patients reporting syncope and the effect of anti-depressants (ADs) on the rates of syncope. DESIGN: : epidemiological, point-prevalence study. SETTING AND PARTICIPANTS: : data came from the Irish Longitudinal Study on Ageing, which includes 8,175 adults aged 50 and older, living in the community in Ireland. MEASUREMENTS: : the Centre for Epidemiological Studies Depression scale was used to assess levels of depression. Multinomial regression was used to analyse the data with a P-value of <0.05 determining significance. RESULTS: : 7,993 participants aged 50 and older were included, and of these 349 reported at least one syncopal episode in the last year. Prevalence of syncope was 4.4%. After controlling for participant characteristics and general health, those with severe depression had a greater risk of single and multiple syncopal events (relative risk ratios [RRR]: 2.78 and 2.84, respectively, P < 0.050) and participants treated with tricyclic anti-depressants (TCAs) were also at greater risk for single and multiple syncopal episode in the last year (RRR: 2.31, P = 0.062; RRR: 2.95, P < 0.05). CONCLUSIONS: : this study demonstrates an increased risk of syncope in patients with depression, with higher rates of syncope reported with increasing severity of depression. Treatment with TCAs increases both the risk and frequency of syncope in the community. Depression is a potentially modifiable risk factor for syncope but treatment options need to be tailored in the older patient population.

Epidemiology of syncope/collapse in younger and older Western patient populations.

Syncope is a common problem which can be remarkably debilitating and associated with high health care costs; its true incidence is difficult to estimate due to variation in definition, differences in population prevalence and under reporting in the general population. The median peak of first syncope is around 15 years with a sharp increase after 70 years. Vasovagal syncope is the commonest cause of syncope for all age groups, but cardiac causes become more common with advancing age. The cumulative incidence of syncope ranges from 5% in females aged 20 to 29, up to 50% in females aged 80 and above. One-third of medical students report at least one syncopal episode in their life-time. The life-time cumulative incidence of syncope in women is almost twice that of men. Syncope accounts for up to 1-3% of hospital admissions and Emergency Room (ER) visits and in these settings is associated with cardiovascular co-morbidity and cardiovascular pharmacotherapy. In older adults syncope is a major cause of morbidity and mortality with enormous personal and wider health economic costs. Prevalence and incidence figures for syncope in older adults are confounded by an overlap with presentations classified as falls. In addition to injury and increasing dependency, quality-of-life studies consistently show that functional impairment in persons with recurrent syncope is similar to other chronic diseases.