Trajectory of Cognitive Decline Before and After Stroke in 14 Population Cohorts.

Importance: Poststroke cognitive impairment is common, but the cognitive trajectory following a first stroke, relative to prestroke cognitive function, remains unclear. Objective: To map the trajectory of cognitive function before any stroke and after stroke in global cognition and in 4 cognitive domains, as well as to compare the cognitive trajectory prestroke in stroke survivors with the trajectory of individuals without incident stroke over follow-up. Design, Setting, and Participants: The study used harmonized and pooled data from 14 population-based cohort studies included in the Cohort Studies of Memory in an International Consortium collaboration. These studies were conducted from 1993 to 2019 across 11 countries among community-dwelling older adults without a history of stroke or dementia. For this study, linear mixed-effects models were used to estimate trajectories of cognitive function poststroke relative to a stroke-free cognitive trajectory. The full model adjusted for demographic and vascular risk factors. Data were analyzed from July 2022 to March 2024. Exposure: Incident stroke. Main outcomes and measures: The primary outcome was global cognition, defined as the standardized average of 4 cognitive domains (language, memory, processing speed, and executive function). Cognitive domain scores were formed by selecting the most commonly administered test within each domain and standardizing the scores. Results: The study included 20 860 participants (12 261 [58.8%] female) with a mean (SD) age of 72.9 (8.0) years and follow-up of 7.51 (4.2) years. Incident stroke was associated with a substantial acute decline in global cognition (-0.25 SD; 95% CI, -0.33 to -0.17 SD), the Mini-Mental State Examination, and all cognitive domains (ranging from -0.17 SD to -0.22 SD), as well as accelerated decline in global cognition (-0.038 SD per year; 95% CI, -0.057 to -0.019 SD per year) and all domains except memory (ranging from -0.020 to -0.055 SD per year), relative to a stroke-free cognitive trajectory. There was no significant difference in prestroke slope in stroke survivors compared with the rate of decline in individuals without stroke in all cognitive measures. The mean rate of decline without a previous stroke was -0.049 SD per year (95% CI, -0.051 to -0.047 SD) in global cognition. Conclusions and relevance: In this cohort study using pooled data from 14 cohorts, incident stroke was associated with acute and accelerated long-term cognitive decline in older stroke survivors.

Prognostic value of Alzheimer's disease plasma biomarkers in the oldest-old: a prospective primary care-based study.

Background: Blood-based biomarkers offer a promising, less invasive, and more cost-effective alternative for Alzheimer's disease screening compared to cerebrospinal fluid or imaging biomarkers. However, they have been extensively studied only in memory clinic-based cohorts. We aimed to validate them in a more heterogeneous, older patient population from primary care. Methods: We measured plasma Aß42/Aß40, P-tau181, NfL, and GFAP in 1007 individuals without dementia, aged 79-94 years, from the longitudinal, primary care-based German AgeCoDe study. We assessed the association with cognitive decline, disease progression, and the capacity to predict future dementia of the Alzheimer's type (DAT). We also evaluated biomarker dynamics in 305 individuals with a follow-up sample (∼8 years later). Findings: Higher levels of P-tau181 (HR = 1.32 [95% CI: 1.17-1.51]), NfL (HR = 1.19 [95% CI: 1.03-1.36]), and GFAP (HR = 1.36 [95% CI: 1.22-1.52]), and a lower Aß42/Aß40 ratio (HR = 0.80 [95% CI: 0.68-0.95]) were associated with an increased risk of progressing to clinically-diagnosed DAT. Additionally, higher levels of P-tau181 (ß = -0.49 [95% CI: -0.71 to 0.26]), NfL (ß = -0.29 [95% CI: -0.52 to 0.06]), and GFAP (ß = -0.60 [95% CI: -0.83 to 0.38]) were linked to faster cognitive decline. A two-step DAT prediction strategy combining initial MMSE with biomarkers improved the identification of individuals in the prodromal stage for potential treatment eligibility. Biomarker levels changed over time, with increases in P-tau181 (ß = 0.19 [95% CI: 0.14-0.25]), NfL (ß = 2.88 [95% CI: 2.18-3.59]), and GFAP (ß = 8.23 [95% CI: 6.71-9.75]). NfL (ß = 2.47 [95% CI: 1.04-3.89]) and GFAP (ß = 4.45 [95% CI: 1.38-7.51]) exhibited a faster increase in individuals progressing to DAT. Interpretation: Evaluating plasma biomarkers, alongside brief cognitive assessments, might enhance the precision of risk assessment for DAT progression in primary care. Funding: Alzheimer Forschung Initiative, Bundesministerium für Bildung und Forschung.

Independent and joint associations of cardiometabolic multimorbidity and depression on cognitive function: findings from multi-regional cohorts and generalisation from community to clinic.

Background: Cardiometabolic multimorbidity (CMM) and depression are often co-occurring in older adults and associated with neurodegenerative outcomes. The present study aimed to estimate the independent and joint associations of CMM and depression on cognitive function in multi-regional cohorts, and to validate the generalizability of the findings in additional settings, including clinical. Methods: Data harmonization was performed across 14 longitudinal cohort studies within the Cohort Studies of Memory in an International Consortium (COSMIC) group, spanning North America, South America, Europe, Africa, Asia, and Australia. Three external validation studies with distinct settings were employed for generalization. Participants were eligible for inclusion if they had data for CMM and were free of dementia at baseline. Baseline CMM was defined as: 1) CMM 5, ≥2 among hypertension, hyperlipidemia, diabetes, stroke, and heart disease and 2) CMM 3 (aligned with previous studies), ≥2 among diabetes, stroke, and heart disease. Baseline depression was primarily characterized by binary classification of depressive symptom measurements, employing the Geriatric Depression Scale and the Center for Epidemiological Studies-Depression scale. Global cognition was standardized as z-scores through harmonizing multiple cognitive measures. Longitudinal cognition was calculated as changes in global cognitive z-scores. A pooled individual participant data (IPD) analysis was utilized to estimate the independent and joint associations of CMM and depression on cognitive outcomes in COSMIC studies, both cross-sectionally and longitudinally. Repeated analyses were performed in three external validation studies. Findings: Of the 32,931 older adults in the 14 COSMIC cohorts, we included 30,382 participants with complete data on baseline CMM, depression, and cognitive assessments for cross-sectional analyses. Among them, 22,599 who had at least 1 follow-up cognitive assessment were included in the longitudinal analyses. The three external studies for validation had 1964 participants from 3 multi-ethnic Asian older adult cohorts in different settings (community-based, memory clinic, and post-stroke study). In COSMIC studies, each of CMM and depression was independently associated with cross-sectional and longitudinal cognitive function, without significant interactions between them (Ps > 0.05). Participants with both CMM and depression had lower cross-sectional cognitive performance (e.g. ß = -0.207, 95% CI = (-0.255, -0.159) for CMM5 (+)/depression (+)) and a faster rate of cognitive decline (e.g. ß = -0.040, 95% CI = (-0.047, -0.034) for CMM5 (+)/depression (+)), compared with those without either condition. These associations remained consistent after additional adjustment for APOE genotype and were robust in two-step random-effects IPD analyses. The findings regarding the joint association of CMM and depression on cognitive function were reproduced in the three external validation studies. Interpretation: Our findings highlighted the importance of investigating age-related co-morbidities in a multi-dimensional perspective. Targeting both cardiometabolic and psychological conditions to prevent cognitive decline could enhance effectiveness. Funding: Natural Science Foundation of China and National Institute on Aging/National Institutes of Health.

Quality over quantity - rethinking social participation in dementia prevention: results from the AgeWell.de trial.

BACKGROUND: Social participation as a protective factor against cognitive decline was one of the targets in the AgeWell.de study, a multi-domain interventional trial in a sample of older adults at increased risk for dementia. This study aimed to examine differential effects of the intervention and other influencing factors on social participation throughout the trial. METHODS: A longitudinal analysis of study data at the primary follow-up after 24 months (n = 819) was conducted. The Lubben Social Network Scale (LSNS-6) was used to assess quantitative aspects of social networks, and self-reported social activities were classified using a three-tiered categorical framework to capture qualitative aspects. RESULTS: A positive effect of the intervention was observed at the qualitative framework level, with an OR of 1.38 [95% CI: 1.05-1.82] for achieving or maintaining higher social participation at follow-up, while no effect could be detected on quantitative social network characteristics. Later phases of the Covid-19 pandemic showed a negative impact on the level of social participation at follow-up with an OR of 0.84 [95% CI: 0.75-0.95]. CONCLUSIONS: These findings suggest that by focusing on qualitative aspects of social participation as a component of dementia prevention, future interventions can promote enriched social interactions within established social networks. TRIAL REGISTRATION: German Clinical Trials Register (DRKS) ID DRKS00013555.

[Loneliness in unemployed individuals diagnosed with mental illness]. / Einsamkeit bei Arbeitslosen mit psychischen Erkrankungen.

BACKGROUND: Loneliness is a widespread phenomenon, and it is associated with a variety of health problems and diseases. Unemployed individuals diagnosed with a mental illness (UMIs) are at a high risk of experiencing loneliness, with serious repercussions for their health and vocational rehabilitation. With this study we wanted to better understand the associations between sociodemographic variables, mental health, and loneliness in UMIs. METHODS: We analyzed the data of 526 unemployed individuals that received means-tested benefits as well as at least one psychiatric diagnosis. Data were collected between September 2020 and September 2023. We conducted two robust regressions with loneliness (University of California, Los Angeles, Loneliness Scale, UCLA) as an outcome (N = 526). In the first regression, we used social network as a predictor (Lubben Social Network Scale, LSNS-6); in the second regression we included the additional predictors personal debt (yes/no), depression (Patient Health Questionnaire, PHQ-9), anxiety (Mini-Symptom-Checklist,MSCL), and somatization (MSCL) as well as age, gender, education, and living with a partner as control variables. RESULTS: We found a significant negative association between social network and loneliness, and a significant positive association between a high level of education, depression, anxiety, and loneliness. CONCLUSIONS: Unemployed individuals diagnosed with a mental illness in our sample exhibited high levels of depression, anxiety, somatization, and loneliness. The associations between social network, mental health, and loneliness that we found emphasize the importance of psychological screening and/or diagnostics, and they highlight areas for prevention.

[The relationship between obesity, social isolation, and mental health-results from the LIFE adult study]. / Der Zusammenhang zwischen Adipositas, sozialer Isolation und psychischer Gesundheit ­ Ergebnisse der LIFE-Adult-Studie.

BACKGROUND: Population-based studies on the relationship between social isolation and obesity, which also include younger adults, are still lacking in Germany. The aim of this study is to investigate the prevalence of social isolation in people with and without obesity. In addition, socially isolated people with and without obesity are examined with regard to socio-demographic and socio-economic factors as well as with regard to depressive symptoms. METHODS: This study was based on baseline data from the LIFE Adult Study (18-79 years) from the 2011-2014 study period. The sample comprised n = 8350 participants. In addition to socio-demographic characteristics and socio-economic status (SES), data on social isolation (LSNS-6), depression (ADS), and body mass index (BMI) were collected. Evaluations were carried out using inferential statistical analyses. RESULTS: Overall, 13.1% of the total sample were affected by social isolation. Participants with obesity (20.4%) had a significantly (p < 0.001) higher prevalence compared to those without obesity (11.4%). A better social integration was significantly associated with younger age (p < 0.001), female sex (p < 0.001), being married (and cohabiting) (p < 0.001), higher socioeconomic status (p < 0.001), and lower depressive symptoms (p < 0.001). DISCUSSION: A higher BMI was not associated per se with poorer social integration. However, the present study showed that socially isolated people with obesity represent a special risk group for impaired mental health and had twice the prevalence of social isolation compared to those without obesity.

Blood Pressure, Antihypertensive Use, and Late-Life Alzheimer and Non-Alzheimer Dementia Risk: An Individual Participant Data Meta-Analysis.

BACKGROUND AND OBJECTIVES: Previous randomized controlled trials and longitudinal studies have indicated that ongoing antihypertensive use in late life reduces all-cause dementia risk, but the specific impact on Alzheimer dementia (AD) and non-AD risk remains unclear. This study investigates whether previous hypertension or antihypertensive use modifies AD or non-AD risk in late life and the ideal blood pressure (BP) for risk reduction in a diverse consortium of cohort studies. METHODS: This individual participant data meta-analysis included community-based longitudinal studies of aging from a preexisting consortium. The main outcomes were risk of developing AD and non-AD. The main exposures were hypertension history/antihypertensive use and baseline systolic BP/diastolic BP. Mixed-effects Cox proportional hazards models were used to assess risk and natural splines were applied to model the relationship between BP and the dementia outcomes. The main model controlled for age, age2, sex, education, ethnoracial group, and study cohort. Supplementary analyses included a fully adjusted model, an analysis restricting to those with >5 years of follow-up and models that examined the moderating effect of age, sex, and ethnoracial group. RESULTS: There were 31,250 participants from 14 nations in the analysis (41% male) with a mean baseline age of 72 (SD 7.5, range 60-110) years. Participants with untreated hypertension had a 36% (hazard ratio [HR] 1.36, 95% CI 1.01-1.83, p = 0.0406) and 42% (HR 1.42, 95% CI 1.08-1.87, p = 0.0135) increased risk of AD compared with "healthy controls" and those with treated hypertension, respectively. Compared with "healthy controls" both those with treated (HR 1.29, 95% CI 1.03-1.60, p = 0.0267) and untreated hypertension (HR 1.69, 95% CI 1.19-2.40, p = 0.0032) had greater non-AD risk, but there was no difference between the treated and untreated groups. Baseline diastolic BP had a significant U-shaped relationship (p = 0.0227) with non-AD risk in an analysis restricted to those with 5-year follow-up, but otherwise there was no significant relationship between baseline BP and either AD or non-AD risk. DISCUSSION: Antihypertensive use was associated with decreased AD but not non-AD risk throughout late life. This suggests that treating hypertension throughout late life continues to be crucial in AD risk mitigation. A single measure of BP was not associated with AD risk, but DBP may have a U-shaped relationship with non-AD risk over longer periods in late life.

Potential for reducing dementia risk: association of the CAIDE score with additional lifestyle components from the LIBRA score in a population at high risk of dementia.

OBJECTIVES: Various dementia risk scores exist that assess different factors. We investigated the association between the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) score and modifiable risk factors in the Lifestyle for Brain Health (LIBRA) score in a German population at high risk of Alzheimer's disease. METHOD: Baseline data of 807 participants of AgeWell.de (mean age: 68.8 years (SD = 4.9)) were analysed. Stepwise multivariable regression was used to examine the association between the CAIDE score and additional risk factors of the LIBRA score. Additionally, we examined the association between dementia risk models and cognitive performance, as measured by the Montreal Cognitive Assessment. RESULTS: High cognitive activity (ß = -0.016, p < 0.001) and high fruit and vegetable intake (ß = -0.032, p < 0.001) correlated with lower CAIDE scores, while diabetes was associated with higher CAIDE scores (ß = 0.191; p = 0.032). Although all were classified as high risk on CAIDE, 31.5% scored ≤0 points on LIBRA, indicating a lower risk of dementia. Higher CAIDE and LIBRA scores were associated with lower cognitive performance. CONCLUSION: Regular cognitive activities and increased fruit and vegetable intake were associated with lower CAIDE scores. Different participants are classified as being at-risk based on the dementia risk score used.

A meta-analysis of genome-wide studies of resilience in the German population.

Resilience is the capacity to adapt to stressful life events. As such, this trait is associated with physical and mental functions and conditions. Here, we aimed to identify the genetic factors contributing to shape resilience. We performed variant- and gene-based meta-analyses of genome-wide association studies from six German cohorts (N = 15822) using the 11-item version of the Resilience Scale (RS-11) as outcome measure. Variant- and gene-level results were combined to explore the biological context using network analysis. In addition, we conducted tests of correlation between RS-11 and the polygenic scores (PGSs) for 12 personality and mental health traits in one of these cohorts (PROCAM-2, N = 3879). The variant-based analysis found no signals associated with resilience at the genome-wide level (p < 5 × 10-8), but suggested five genomic loci (p < 1 × 10-5). The gene-based analysis identified three genes (ROBO1, CIB3 and LYPD4) associated with resilience at genome-wide level (p < 2.48 × 10-6) and 32 potential candidates (p < 1 × 10-4). Network analysis revealed enrichment of biological pathways related to neuronal proliferation and differentiation, synaptic organization, immune responses and vascular homeostasis. We also found significant correlations (FDR < 0.05) between RS-11 and the PGSs for neuroticism and general happiness. Overall, our observations suggest low heritability of resilience. Large, international efforts will be required to uncover the genetic factors that contribute to shape trait resilience. Nevertheless, as the largest investigation of the genetics of resilience in general population to date, our study already offers valuable insights into the biology potentially underlying resilience and resilience's relationship with other personality traits and mental health.

Associations between person-environment fit and mental health - results from the population-based LIFE-Adult-Study.

Within occupational settings, mental health of employees can be affected by complex interactions between individuals and their work environment. The aim of this cross-sectional analysis was to investigate the association between person-environment fit and mental health in employees. Data of n = 568 participants from the LIFE adult cohort study was analysed, including socio-demographic characteristics, three dimensions of person-environment fit (P-E fit), symptoms of depression and anxiety. Assessment took place between 2017 and 2021. Statistical analysis included descriptive analyses as well as generalized linear regression models adjusted for age, gender, socioeconomic status, marital status, and job status. Correlational analysis revealed significant associations between age, marital status, SES, employment status, symptoms of depression and anxiety and P-E fit. According to regression models, greater perceived fit between person and organization was associated with lower depression scores and lower symptoms of anxiety. Higher perceived fit between demands and abilities was significantly related to lower severity of depression and anxiety. Similarly, participants reporting a higher fit between needs and supplies, exhibited less symptom severity regarding depression and anxiety. These results underline the importance of person-environment fit regarding mental health. Finding ways to obtain an optimal balance should not only be recognized as an important factor for health and well-being, but might also be beneficial for organizations and employers in the long-term.

Development, validation and application of an LC-MS/MS method quantifying free forms of the micronutrients queuine and queuosine in human plasma using a surrogate matrix approach.

Queuosine (Q) is a hypermodified 7-deaza-guanosine nucleoside exclusively synthesized by bacteria. This micronutrient and its respective nucleobase form queuine (q) are salvaged by humans either from gut microflora or digested food. Depletion of Q-tRNA in human or mouse cells causes protein misfolding that triggers endoplasmic reticular stress and the activation of the unfolded protein responses. In vivo, this reduces the neuronal architecture of the mouse brain affecting learning and memory. Herein, a sensitive method for quantifying free q and Q in human blood was developed, optimised and validated. After evaluating q/Q extraction efficiency in several different solid-phase sorbents, Bond Elut PBA (phenylboronic acid) cartridges were found to have the highest extraction recovery for q (82%) and Q (71%) from pooled human plasma. PBS with 4% BSA was used as surrogate matrix for method development and validation. An LC-MS/MS method was validated across the concentration range of 0.0003-1 µM for both q and Q, showing excellent linearity (r2 = 0.997 (q) and r2 = 0.998 (Q)), limit of quantification (0.0003 µM), accuracy (100.39-125.71%) and precision (CV% < 15.68%). In a sampling of healthy volunteers (n = 44), there was no significant difference in q levels between male (n = 14; mean = 0.0068 µM) and female (n = 30; mean = 0.0080 µM) participants (p = 0.50). Q was not detected in human plasma. This validated method can now be used to further substantiate the role of q/Q in nutrition, physiology and pathology.

Profiles of met and unmet care needs in the oldest-old primary care patients with cognitive disorders and dementia - results of the AgeCoDe and AgeQualiDe study.

INTRODUCTION: The prevalence of MCI and dementia is increasing as the oldest-old population grows, requiring a nuanced understanding of their care needs. Few studies have examined need profiles of oldest-old patients with MCI or dementia. Therefore, this study aims to identify patients' need profiles. METHODS: The data analysis included cross-sectional baseline data from N = 716 primary care patients without cognitive impairment (n = 575), with MCI (n = 97), and with dementia (n = 44) aged 85+ years from the multicenter cohort AgeQualiDe study "Needs, Health Service Use, Costs and Health-Related Quality of Life in a Large Sample of Oldest-Old Primary Care Patients [85+]". Patients' needs were assessed using the Camberwell Assessment of Need for the Elderly (CANE), and latent class analysis identified need profiles. Multinomial logistic regression analyzed the association of MCI and dementia with need profiles, adjusting for sociodemographic factors, social network (Lubben Social Network Scale, LSNS-6), and frailty (Clinical Frailty Scale, CSHA-CFS). RESULTS: Results indicated three profiles: 'no needs', 'met physical and environmental needs', and 'unmet physical and environmental needs'. MCI was associated with the met and unmet physical and environmental needs profiles; dementia was associated with the unmet physical and environmental needs profile. Patients without MCI or dementia had larger social networks (LSNS-6). Frailty was associated with dementia. CONCLUSIONS: Integrated care should address the needs of the oldest-old and support social networks for people with MCI or dementia. Assessing frailty can help clinicians to identify the most vulnerable patients and develop beneficial interventions for cognitive disorders.

Predictors of dementia among the oldest old: longitudinal findings from the representative "survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)".

BACKGROUND/AIMS: Our current study aimed to investigate the determinants of dementia among the oldest old using longitudinal data from a representative sample covering both community-dwelling and institutionalized individuals. METHODS/DESIGN: Longitudinal representative data were taken from the "Survey on quality of life and subjective well-being of the very old in North Rhine-Westphalia (NRW80+)" that surveyed community-dwelling and institutionalized individuals aged 80 years and above (n = 1,296 observations in the analytic sample), living in North Rhine-Westphalia (most populous state of Germany). The established DemTect was used to measure cognitive impairment (i.e., probable dementia). A logistic random effects model was used to examine the determinants of probable dementia. RESULTS: The mean age was 86.3 years (SD: 4.2 years). Multiple logistic regressions revealed that a higher likelihood of probable dementia was positively associated with lower education (e.g., low education compared to medium education: OR: 3.31 [95% CI: 1.10-9.98]), a smaller network size (OR: 0.87 [95% CI: 0.79-0.96]), lower health literacy (OR: 0.29 [95% CI: 0.14-0.60]), and higher functional impairment (OR: 13.45 [3.86-46.92]), whereas it was not significantly associated with sex, age, marital status, loneliness, and depressive symptoms in the total sample. Regressions stratified by sex were also reported. DISCUSSION: Our study identified factors associated with dementia among the oldest old. This study extends current knowledge by using data from the oldest old; and by presenting findings based on longitudinal, representative data (also including individuals residing in institutionalized settings). CONCLUSIONS: Efforts to increase, among other things, formal education, network size, and health literacy may be fruitful in postponing dementia, particularly among older women. Developing health literacy programs, for example, may be beneficial to reduce the burden associated with dementia.

Motivation to work and attitudes towards retirement among physicians.

BACKGROUND: The healthcare system is currently in a state of tension due to a shortage of physicians, the early retirement of health care professionals and an increasing need for care within an (aging) society. Therefore, the aim of the present study was to examine physicians' attitudes towards retirement and possible influencing factors on their motivation to work. METHOD: Data were collected as part of a baseline survey of a long-term study. The sample includes a variety of physicians (n = 625), working in outpatient or inpatient care, who have not yet reached the retirement age of 67. The primary outcome was to survey attitudes towards retirement using the Motivation to Work scale. Work-related characteristics (e.g., with regard to contract or working hour) as well as job satisfaction, overall health, and burnout were also included in the analyses (correlations and linear regression models). RESULTS: According to the results, sociodemographic characteristics are not significantly related to motivation to work, whereas the other parameters (satisfaction, health, and burnout) influence attitudes towards retirement significantly. CONCLUSIONS: The results underline the need to improve the occupational conditions of physicians across different medical settings. More research is needed to understand physicians' decision-making with regard to retirement, especially in terms of work-related characteristics and differences.

[Health Literacy, Contact Points, Unmet Subjective Needs and Treatment Satisfaction of those Affected by Long Covid with Long-Lasting Neuropsychiatric Symptoms]. / Gesundheitskompetenz, Anlaufstellen, ungedeckte subjektive Bedarfe und Behandlungszufriedenheit von Long-COVID-Betroffenen mit langanhaltender neuropsychiatrischer Symptomatik.

OBJECTIVE: The bejective was to determine health literacy (HL) and care aspects of those affected by Long-COVID. METHOD: 407 patients with Long-COVID and long-term neuropsychiatric symptoms were interviewed in the LIFE study center. In addition to descriptive analyses, regression models were calculated to examine the relationships between health literacy (HLS-EU-Q16) and various aspects of care (RehaQ-N1). RESULTS: The results show that 35.8% had problematic and 17.9% had inadequate HL. The majority of subjective needs were unmet and 47.7% of those affected were dissatisfied with the therapy they received. DISCUSSION: Among those affected by Long-COVID, subjective HL is rather reduced. The healthcare system appears to be unprepared for these patients, which is reflected in unmet needs and low treatment satisfaction. This was even more pronounced among those exhibiting lower HL.

Awareness of Social Functioning in People with Dementia and Its Association with Dementia Severity: Multi-Center Cross-Sectional Study.

Background: People with dementia commonly have impaired social functioning and may not recognize this. This lack of awareness may result in worse outcomes for the person and their family carers. Objective: We aimed to characterize awareness of social functioning in dementia and describe its association with dementia severity. Methods: Multi-center cross-sectional study of people aged >65 years with dementia and family informants recruited from Germany, Japan and the United Kingdom. We used the Social Functioning in Dementia (SF-DEM) scale, assessing "spending time with other people" (domain 1), "communicating with other people" (domain 2), and "sensitivity to other people" (domain 3), and calculated lack of awareness into social functioning as the discrepancy between patient and informant ratings. Results: 108 participants with dementia (50.9% women), mean age = 78.9 years, and mean MMSE score = 22.7. Patient and informant domain 1 ratings did not differ, but patient-rating was higher than carers for domain 2 (11.2 versus 10.1; p = 0.003) and domain 3 (9.7 versus 8.1; p < 0.001). Sixty people with dementia overestimated their overall social functioning, 30 underestimated, and 18 gave ratings congruent with their informant. Performance on the MMSE and its sub-domains was not associated with SF-DEM discrepancy score. Conclusions: We found that awareness of social functioning in dementia was a multidimensional concept, which varies according to subdomains of social functioning. Clinicians should help family members understand and adapt by explaining their relative with dementia's lack of awareness about aspects of their social functioning.

Effects of a multidomain intervention against cognitive decline on dementia risk profiles - Results from the AgeWell.de trial.

INTRODUCTION: Dementia risk scores constitute promising surrogate outcomes for lifestyle interventions targeting cognitive function. We investigated whether dementia risk, assessed using the LIfestyle for BRAin health (LIBRA) index, was reduced by the AgeWell.de intervention. METHODS: Secondary analyses of the AgeWell trial, testing a multicomponent intervention (including optimization of nutrition, medication, and physical, social, and cognitive activity) in older adults with increased dementia risk. We analyzed data from n = 461 participants with complete information on risk/protective factors comprised by LIBRA at the 24-month follow-up. Intervention effects on LIBRA and LIBRA components were assessed using generalized linear models. RESULTS: The intervention reduced LIBRA scores, indicating decreased dementia risk at follow-up (b = -0.63, 95% confidence interval [CI]: -1.14, -0.12). Intervention effects were particularly due to improvements in diet (odds ratio [OR]: 1.60, 95% CI: 1.16, 2.22) and hypertension (OR: 1.61, 95% CI: 1.19, 2.18). DISCUSSION: The AgeWell.de intervention reduced dementia risk. However, several risk factors did not improve, possibly requiring more intensive interventions. HIGHLIGHTS: The AgeWell.de intervention reduced dementia risk according to LIfestyle for BRAin health (LIBRA) scores. Beneficial effects on LIBRA are mainly due to changes in diet and blood pressure. A pragmatic lifestyle intervention is apt to reduce dementia risk in an at-risk population.

Validation of MyFORTA: An Automated Tool to Improve Medications in Older People Based on the FORTA List.

BACKGROUND: Listing tools have been developed to improve medications in older patients, including the Fit fOR The Aged (FORTA) list, a clinically validated, positive-negative list of medication appropriateness. Here, we aim to validate MyFORTA, an automated tool for individualized application of the FORTA list. METHODS: 331 participants of a multi-center cohort study (AgeCoDe) for whom the FORTA score (sum of overtreatment and undertreatment errors) had been determined manually (gold standard [GS]) were reassessed using the automated MyFORTA (MF) tool. This tool determines the score from ATC and ICD codes combined with clinical parameters. RESULTS: The FORTA scores were 9.01 ± 2.91 (mean ± SD, MF) versus 6.02 ± 2.52 (GS) (p < 0.00001). Removing undertreatment errors for calcium/vitamin D (controversial guidelines) and influenza/pneumococcal vaccinations (no robust information in the database), the difference decreased: 7.5 ± 2.7 (MF) versus 5.98 ± 2.55 (GS) (p < 0.00001). The remaining difference was driven by, for example, missing nitro spray in coronary heart disease/acute coronary syndrome as the related information was rarely found in the database, but notoriously detected by MF. Three hundred and forty errors from those 100 patients with the largest score deviation accounted for 68% of excess errors by MF. CONCLUSION: MF was more sensitive to detect medication errors than GS, all frequent errors only detected by MF were plausible, and almost no adaptations of the MF algorithm seem indicated. This automated tool to check medication appropriateness according to the FORTA list is now validated and represents the first clinically directed algorithm in this context. It should ease the application of FORTA and help to implement the proven beneficial effects of FORTA on clinical endpoints.