Revisiting unstable disability and the fluctuations of frailty: a measurement burst approach.

BACKGROUND: It has been hypothesised that frailty is the root cause of clinically observed but rarely systematically measured unstable disability among older adults. In this study, we measure the extent of short-term disability fluctuations and estimate their association with frailty using intensive longitudinal data. METHODS: Repeated measurements of disability were collected under a measurement burst design in the FRequent health Assessment In Later life (FRAIL70+) study. A total of 426 community-dwelling older adults (70+) in Austria were interviewed about difficulties with basic, instrumental and mobility-related activities of daily living biweekly up to a total of 14 times in two measurement bursts (2891 and 2192 observations). Baseline frailty was assessed with both physical frailty (FP) and the frailty index (FI). Disability fluctuations were measured with the intra-individual interquartile range (iIQR) and estimated with a two-step generalised mixed regression procedure. RESULTS: Fewer participants were frail at baseline according to FP (11%) than FI (32%). Frail study participants reported not only more severe disability but also had more short-term disability fluctuations (iIQR = 1.0-1.5) compared with their robust counterparts (iIQR = 0). Regression models indicated that baseline frailty was associated with 2-3 times larger short-term disability fluctuations, which were also more prevalent among women, and increased with age and disability severity. CONCLUSION: Compared with those who were robust, frail older adults were characterised by not only more severe but also more unstable disability. Short-term disability fluctuations are closely tied to disability severity. Future studies should assess both stressors that may cause disability fluctuations among frail older adults as well as their potential consequences to inform frailty-centred care.

Frailty predicts all-cause and cause-specific mortality among older adults in Austria: 8-year mortality follow-up of the Austrian Health Interview Survey (ATHIS 2014).

BACKGROUND: The frailty index (FI) is an established predictor of all-cause mortality among older adults, but less is known with regard to cause-specific mortality, and whether the predictive power of the FI varies between men and women and by socio-economic position. METHODS: We assessed all-cause and cause-specific mortality during 8 years of follow-up (median = 7 years) among the population-representative sample of older adults (65 + , n = 2,561) from the European Health Interview Survey in Austria (ATHIS 2014). A FI at baseline was constructed from 41 health deficits. Official cause of death information from Statistics Austria was linked with the survey data by the Austrian Micro Data Center (AMDC). Next to all-cause mortality, we differentiated between mortality from cardiovascular diseases (CVD), cancer, and other causes. Cox proportional hazard models adjusted for socio-demographic variables and causes of death as competing risks were used to assess mortality prediction. RESULTS: Among the participants, 43.5% were robust (FI < 0.10), 37.7% pre-frail (FI = 0.10-0.21), and 18.7% were frail (FI > 0.21). 405 (15.8%) participants died during follow-up. Among the deceased, 148 (36.5%) died from CVD, 127 (31.4%) died from cancer, and 130 (32.1%) died from other causes of death. The FI predicted all-cause (hazard ratio, HR = 1.33 per 0.1 FI and HR = 2.4 for frail compared to robust older adults) and cause-specific mortality risk (HRCVD = 1.25/2.46, HRcancer = 1.19/1.47, HRother = 1.49/3.59). Area under the curve (AUC) values were acceptable for CVD mortality (0.78) and other causes of death (0.74), and poor for cancer mortality (0.64). CONCLUSIONS: The FI predicts all-cause and cause-specific mortality (CVD, other causes) well, which points to its relevance as a potential screening tool for risk stratification among community-dwelling older adults.

Consultation Requests and Satisfaction with a Telehealth Network for Epilepsy: Longitudinal Analysis of the Epilepsy Network Hessen Evaluation.

Background: Telemedicine improves access to specialized medical expertise, as required for paroxysmal disorders. The Epilepsy Network Hessen Evaluation (ENHE) is a pilot cross-sectoral teleconsultation network connecting primary neurologists and pediatricians with epilepsy centers in Hessen, a federal German state. Methods: We prospectively and longitudinally evaluated telehealthcare in the ENHE. Participating physicians rated each consultation for satisfaction and impact on further management. The survey was administered at each consultation and 3 months later. Results: We analyzed 129 consultations involving 114 adult and pediatric patients. Their mean age was 34 years (standard deviation: 26, range: 0.1-91 years), 48% were female, and 34% were children and adolescents. The most common consultation requests were co-evaluation of an electroencephalogram (electroencephalogram [EEG]; 76%) and therapeutic (33%) and differential diagnosis (24%) concerns. Physicians transmitted one paraclinical examination on average (range: 1-4), predominantly EEG (85%), followed by magnetic resonance imaging (17%) and written records (9%). Response rates were 72% for the initial and 67% for the follow-up survey. Across respondents, 99% (n = 92) were satisfied with the ENHE. Overall, 80% of the consultations contributed to the diagnosis, and 90% were considered helpful for treatment, influencing it in 71% of cases. Seizure frequency had decreased more often (96%) than increased (4%) at 3 months. The initial diagnosis was confirmed in 78% of patients. Discussion: In this pilot teleconsultation network for paroxysmal disorders, diagnostic and therapeutic advice was perceived as helpful. Clinical outcomes were largely positive, suggesting tele-epileptology is viable for paroxysmal (seizure) disorders.

Short-term dynamics of loneliness and depressive symptoms: Gender differences in older adults.

BACKGROUND: Previous research examining the relationship between loneliness and depressive symptoms often treated these constructs as static traits rather than dynamic states. The current study focused on the short-term, prospective link between loneliness and depressive symptoms, while also analyzing potential gender differences. METHODS: We modeled panel data from seven bi-weekly assessments gathered in the FRequent health Assessment In Later life (FRAIL70+) study. At baseline, the sample size amounted to N = 426 community-dwelling older adults aged 70 years or older in Austria. The relationship between loneliness and depressive symptoms was analyzed using a latent change score modeling framework. RESULTS: As regards depressive symptoms, women showed higher initial levels and more change across the three months than men. Loneliness did not considerably change across time for both sexes. Moreover, greater levels of loneliness at a given point in time were associated with an accelerated increase in depressive symptoms two weeks later in women but not in men. CONCLUSION: Loneliness appeared to be a potential determinant of future increases in depressive symptoms. The varying effects observed between men and women suggest potential gender differences in short-term fluctuations of depressive symptoms and their underlying mechanisms.

Longitudinal Quantiles of Frailty Trajectories Considering Death: New Insights into Sex and Cohort Differences in the Reference Curves for Frailty Progression of Older European.

BACKGROUND: Most previous studies of frailty trajectories in older adults focus on the average trajectory and ignore death. Longitudinal quantile analysis of frailty trajectories permits the definition of reference curves, and the application of mortal cohort inference provides more realistic estimates than models that ignore death. METHODS: Using data from individuals aged 65 or older (n = 25 446) from the Survey of Health, Ageing, and Retirement in Europe (SHARE) from 2004 to 2020, we derived repeated values of the Frailty Index (FI) based on the accumulation of health deficits. We applied weighted Generalized Estimating Equations to estimate the quantiles of the FI trajectory, adjusting for sample attrition due to death, sex, education, and cohort. RESULTS: The FI quantiles increased with age and progressed faster for those with the highest level of frailty (ß^a0.9 = 0.0229, p < .001; ß^a0.5 = 0.0067, p < .001; H0: ßa0.5=ßa0.9, p < .001). Education was consistently associated with a slower progression of the FI in all quantiles (ß^ae0.1 = -0.0001, p < .001; ß^ae0.5 =-0.0004, p < .001; ß^ae0.9 = -0.0003, p < .001) but sex differences varied across the quantiles. Women with the highest level of frailty showed a slower progression of the FI than men when considering death. Finally, no cohort effects were observed for the FI progression. CONCLUSIONS: Quantile FI trajectories varied by age, sex, education, and cohort. These differences could inform the practice of interventions aimed at older adults with the highest level of frailty.

The mediating effect of after-midnight use of digital media devices on the association of internet-related addictive behavior and insomnia in adolescents.

Background: There is evidence that overexposure to digital media devices (DMD) can not only lead to addictive patterns of internet use, but also cause insomnia symptoms. The aim of this cross-sectional study among adolescents is to provide an estimate of the prevalence of sleep impairments and to explore the mediating role of after-midnight use of DMD between internet-related addictive behavior (IRAB) and insomnia. Methods: 2,712 school students from Styrian schools participated in a population-representative online survey in a supervised school setting in spring 2022. School students were screened using established and validated scales. Data analysis was carried out using multiple imputation, linear multilevel regression and mediation analysis. Results: Prevalence estimation indicates high proportions of clinically relevant moderate [12.6% (11.3%; 14.1%)] and severe [3.6% (2.9%; 4.4%)] insomnia, with an additional 30.6% (29.0%; 32.2%) at subthreshold level. DMD are typically used after midnight an average of 1.66 (1.58; 1.75) evenings with subsequent school day per school week. Linear multilevel regression analysis shows significant associations for sleep disparities as outcome variable e.g., with generalized anxiety [b = 0.329 (0.287; 0.371)], after-midnight use of DMD [b = 0.470 (0.369; 0.572)] and IRAB [b = 0.131 (0.097; 0.165)]. Mediation analysis shows a mediated proportion of 18.2% (13.0%; 25.0%) of the association of IRAB and insomnia by after-midnight use of DMD [Indirect effect: b = 0.032 (0.023; 0.040), direct effect: b = 0.127 (0.083; 0.170)]. Conclusions: Although the cross-sectional nature of this study limits causal inference, the results indicate a need for policies, which are already in preparation in Styria as part of a respective action plan.

Frailty trajectories preceding dementia: an individual-level analysis of four cohort studies in the United States and United Kingdom.

Frailty may represent a modifiable risk factor for dementia, but the direction of that association remains uncertain. We investigated frailty trajectories in the years preceding dementia onset using data from 23,672 participants (242,760 person-years of follow-up, 2,906 cases of incident dementia) across four cohort studies in the United States and United Kingdom. Bayesian non-linear models revealed accelerations in frailty trajectories 4-9 years before incident dementia. Among participants whose time between frailty measurement and incident dementia exceeded that prodromal period, frailty remained positively associated with dementia risk (adjusted hazard ratios ranged from 1.20 [95% confidence interval, CI = 1.15-1.26] to 1.43 [95% CI = 1.14-1.81]). This observational evidence suggests that frailty increases dementia risk independently of any reverse causality. These findings indicate that frailty measurements can be used to identify high-risk population groups for preferential enrolment into clinical trials for dementia prevention and treatment. Frailty itself may represent a useful upstream target for behavioural and societal approaches to dementia prevention.

Aluminium Chloride instead of Ferric chloride for inducing superior sagittal sinus thrombosis to reduce ferromagnetic artifacts on MRI-imaging in experimental models.

Using ferric chloride (FeCl3) to induce experimental superior sagittal sinus (SSS) thrombosis might interfere with magnetic resonance imaging (MRI)-assisted visualization and evaluation of the thrombus, the brain parenchyma, and the quality of the occlusion. The aim of this study was to investigate whether aluminum chloride (AlCl3)-induced thrombosis of the SSS has comparable properties to those of FeCl3 without causing artifacts in MRI. SSS thrombosis was induced in 14 male Wistar rats by exposure of the SSS and subsequent topical application of a filter paper strip soaked in AlCl3 (n = 7) or FeCl3 (n = 7) over a period of 15 min. The animals with AlCl3-induced SSS thrombosis showed a constant and complete occlusion with in histological analysis large thrombi. Blood flow measurements indicated a significant reduction on the first and seventh postoperative day compared to preoperative measurements. MRI enabled visualization and subsequent evaluation of the thrombus and the surrounding parenchyma. In comparison, FeCl3-induced SSS thrombosis could not be evaluated by MRI due to artifacts caused by the paramagnetic properties and increased susceptibility of FeCl3. The occluded sinus and the surrounding area appeared hypointense. The quality of SSS occlusion by AlCl3 was comparable to that of FeCl3. AlCl3 therefore represents a significant alternative substance in experimental SSS thrombosis ideally suited for studies using MRI.