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Background: Amyloid-β (Aβ) may be related to cardiac function. However, there are limited data on the association of plasma Aβ with cardiac function and risk of heart failure (HF) in the general population. Objectives: This study sought to determine the associations of plasma amyloid-β40 (Aβ40) and amyloid-β42 (Aβ42) with echocardiographic measurements of cardiac dysfunction and with incident HF in the general population. Methods: The study included 4,156 participants of the population-based Rotterdam Study, who had plasma Aβ samples collected between 2002 and 2005 and had no established dementia and HF at baseline. Multivariable linear regression models were used to explore the cross-sectional association of plasma Aβ with echocardiographic measures. Participants were followed up until December 2016. Cox proportional hazards models were used to assess the association of Aβ levels with incident HF. Models were adjusted for cardiovascular risk factors. Results: A per 1-SD increase in log-transformed plasma Aβ40 was associated with a 0.39% lower left ventricular ejection fraction and a 0.70 g/m2 larger left ventricular mass indexed by body surface area. Aβ42 was not significantly associated with echocardiographic measures cross-sectionally. During follow-up, 472 incident HF cases were identified. A per 1-SD increase in log-transformed Aβ40 was associated with a 32% greater risk of HF, and the association was significant in men, but not in women. Higher plasma Aβ42 levels were associated with an increased risk of HF, although the association was attenuated after further adjustment for concomitant Aβ40. Conclusions: Higher levels of Aβ40 were associated with worse cardiac function and higher risk of new onset HF in the general population, in particular among men.

Background Brain atrophy is suggested to impair the potential for functional recovery after acute ischemic stroke. We assessed whether the effect of endovascular treatment is modified by brain atrophy in patients with acute ischemic stroke due to large vessel occlusion. Methods We used data from MR CLEAN, a multicenter trial including patients with acute ischemic stroke due to anterior circulation large vessel occlusion randomized to endovascular treatment plus medical care (intervention) versus medical care alone (control). We segmented total brain volume (TBV) and intracranial volume (ICV) on baseline non-contrast computed tomography (n = 410). Next, we determined the degree of atrophy as the proportion of brain volume in relation to head size (1 − TBV/ICV) × 100%, analyzed as continuous variable and in tertiles. The primary outcome was a shift towards better functional outcome on the modified Rankin Scale expressed as adjusted common odds ratio. Treatment effect modification was tested using an interaction term between brain atrophy (as continuous variable) and treatment allocation. Results We found that brain atrophy significantly modified the effect of endovascular treatment on functional outcome (P for interaction = 0.04). Endovascular treatment led to larger shifts towards better functional outcome in the higher compared to the lower range of atrophy (adjusted common odds ratio, 1.86 [95% CI: 0.97–3.56] in the lowest tertile vs. 1.97 [95% CI: 1.03–3.74] in the middle tertile vs. 3.15 [95% CI: 1.59–6.24] in the highest tertile). Conclusion Benefit of endovascular treatment is larger in the higher compared to the lower range of atrophy, demonstrating that advanced atrophy should not be used as an argument to withhold endovascular treatment.

IntroductionEfficient healthcare planning requires reliable projections of the future increase in costs and quality-adjusted life years (QALYs) lost due to dementia.MethodsWe used the microsimulation model MISCAN-Dementia to simulate life histories and dementia occurrence using population-based Rotterdam Study data and nationwide birth cohort demographics. We estimated costs and QALYs lost in the Netherlands from 2020 to 2050, incorporating literature estimates of cost and utility for patients and caregivers by dementia severity and care setting.ResultsSocietal costs and QALYs lost due to dementia are estimated to double between 2020 and 2050. Costs are incurred predominantly through institutional (34%), formal home (31%), and informal home care (20%). Lost QALYs are mostly due to shortened life expectancy (67%) and, to a lesser extent, quality of life with severe dementia (14%).DiscussionTo limit healthcare costs and quality of life losses due to dementia, interventions are needed that slow symptom progression and reduce care dependency.

Introduction: Dementia prevention trials have so far shown little benefit of multidomain interventions against cognitive decline. Recruitment strategies in these trials often centre around dementia risk or cardiovascular risk profile, but it is uncertain whether this leads to inclusion of individuals who may benefit most from the intervention. We determined the effects of eligibility criteria on the recruitment of potential trial participants in the general population. Methods: In a systematic search until January 1, 2022, we identified all published and ongoing large (≥500 participants), phase-3 multidomain trials for the prevention of cognitive decline or dementia. We applied trial eligibility criteria to 5,381 participants of the population-based Rotterdam Study (mean age: 72 years, 58% women), to compare participant characteristics, predicted risk of cardiovascular disease, and dementia risk, between trial eligible and ineligible persons. Results: We identified 10 trials, of which 5 had been published (DR’s EXTRA, FINGER, preDIVA, MAPT, and HATICE) and 5 are ongoing (US-POINTER, MIND-CHINA, MYB, AgeWell.de, and J-Mint). Among all Rotterdam Study participants, eligibility across published trials ranged from 48% for MAPT to 87% for preDIVA, in line with original trial reports. Variability in eligibility was wider for ongoing trials, from 1% for US-POINTER to over 94% for MYB trial. Over 70% of trial eligible individuals are recommended preventive intervention in routine care based on their cardiovascular risk, similar for lipid-lowering (71%) and blood pressure-lowering treatment (73%). Ten-year risks of dementia were similar for eligible compared to ineligible individuals (12 vs. 11%). Conclusion: Multidomain dementia prevention trials fail to preferentially include those at the highest risk of dementia and mostly include individuals who qualify for interventions already on the basis of cardiovascular prevention guidelines. These findings call for better targeted enrolment of individuals for whom trial results can improve clinical decision-making.

Background and ObjectivesAlthough there is evidence of disruption in acute cerebrovascular and cardiovascular care during the coronavirus disease 2019 (COVID-19) pandemic, its downstream effect in primary care is less clear. We investigated how the pandemic affected utilization of cerebrovascular and cardiovascular care in general practices (GPs) and determined changes in GP-recorded diagnoses of selected cerebrovascular and cardiovascular outcomes.MethodsFrom electronic health records of 166,929 primary care patients aged 30 or over within the Rotterdam region, the Netherlands, we extracted the number of consultations related to cerebrovascular and cardiovascular care, and first diagnoses of selected cerebrovascular and cardiovascular risk factors (hypertension, diabetes, lipid disorders), conditions, and events (angina, atrial fibrillation, TIA, myocardial infarction, stroke). We quantified changes in those outcomes during the first COVID-19 wave (March–May 2020) and thereafter (June–December 2020) by comparing them to the same period in 2016–2019. We also estimated the number of potentially missed diagnoses for each outcome.ResultsThe number of GP consultations related to cerebrovascular and cardiovascular care declined by 38% (0.62, 95% confidence interval 0.56–0.68) during the first wave, as compared to expected counts based on prepandemic levels. Substantial declines in the number of new diagnoses were observed for cerebrovascular events: 37% for TIA (0.63, 0.41–0.96) and 29% for stroke (0.71, 0.59–0.84), while no significant changes were observed for cardiovascular events (myocardial infarction [0.91, 0.74–1.14], angina [0.77, 0.48–1.25]). The counts across individual diagnoses recovered following June 2020, but the number of GP consultations related to cerebrovascular and cardiovascular care remained lower than expected throughout the June to December period (0.93, 0.88–0.98).DiscussionWhile new diagnoses of acute cardiovascular events remained stable during the COVID-19 pandemic, diagnoses of cerebrovascular events declined substantially compared to prepandemic levels, possibly due to incorrect perception of risk by patients. These findings emphasize the need to improve symptom recognition of cerebrovascular events among the general public and to encourage urgent presentation despite any physical distancing measures.

Introduction: We hypothesized that subclinical disruption in blood pressure (BP) dynamics, captured by lower complexity and higher variability, may contribute to dementia risk, above and beyond BP levels. Methods: This prospective cohort study followed 1835 older adults from 1997 to 2016, with BP complexity quantified by sample entropy and BP variability quantified by coefficient of variation using beat-to-beat BP measured at baseline. Results: Three hundred thirty-four participants developed dementia over 20 years. Reduced systolic BP (SBP) complexity was associated with a higher risk of dementia (hazard ratio [HR] comparing extreme quintiles: 1.55; 95% confidence interval [CI]: 1.09-2.20). Higher SBP variability was also associated with a higher risk of dementia (HR comparing extreme quintiles: 1.57; 95% CI: 1.11-2.22. These findings were observed after adjusting for age, sex, apolipoprotein E (APOE) genotype, mean SBP, and other confounding factors. Discussions: Our findings suggest that lower complexity and higher variability of beat-to-beat SBP are potential novel risk factors or biomarkers for dementia.

IntroductionIn this study we examine whether social health markers measured at baseline are associated with differences in cognitive capability and in the rate of cognitive decline over an 11-to-18-year period among older adults and compare results across studies.MethodsWe applied an integrated data analysis approach to 16,858 participants (mean age 65 years; 56% female) from the National Survey for Health and Development (NSHD), the English Longitudinal Study of Aging (ELSA), the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), and the Rotterdam Study. We used multilevel models to examine social health in relation to cognitive capability and the rate of cognitive decline.ResultsPooled estimates show distinct relationships between markers of social health and cognitive domains e.g., a large network size (≥6 people vs none) was associated with higher executive function (0.17 SD[95%CI:0.0, 0.34], I2=27%) but not with memory (0.08 SD[95%CI: -0.02, 0.18], I2=19%). We also observed pooled associations between being married or cohabiting, having a large network size and participating in social activities with slower decline in cognitive capability, however estimates were close to zero e.g., 0.01SD/year [95%CI: 0.01 to 0.02] I2=19% for marital status and executive function. There were clear study-specific differences: results for average processing speed were the most homogenous and results for average memory were the most heterogenous.ConclusionOverall, markers of good social health have a positive association with cognitive capability. However, we found differential associations between specific markers of social health and cognitive domains and differences between studies. These findings highlight the importance of examining between study differences and considering context specificity of findings in developing and deploying any interventions.

The improvement of public health relies on effective strategies for disease prevention, but the optimal preventive strategy is often difficult to determine. The population attributable fraction is a tool that allows policy makers to prioritise among different interventions by quantifying the share of disease in the population that is due to one specific risk factor. In this article, we discuss the computation of the population attributable fraction, as well as its advantages, limitations, and challenges for proper interpretation. We further compare the population attributable fraction to the etiologic fraction, which concerns the impact of a risk factor of disease at the individual level. We illustrate the importance of either measure, as well as differences between them, on the basis of scenarios in which community medicine and patient-centred care might not always be in agreement.

Background and aims: Familial dysbetalipoproteinemia (FD), characterized by remnant lipoprotein accumulation and premature cardiovascular disease, occurs in homozygous carriers of the APOE epsilon 2 allele, but genetic predisposition alone does not suffice for the clinical phenotype. Cross-sectional studies suggest that a second metabolic hit-notably adiposity or insulin resistance-is required, but the association between these risk factors and development of FD has not been studied prospectively.Methods: For this study, we evaluated 18,987 subjects from two large prospective Dutch population-based cohorts (PREVEND and Rotterdam Study) of whom 118 were homozygous APOE epsilon 2 carriers. Of these, 69 subjects were available for prospective analyses. Dyslipidemia-likely to be FD-was defined as fasting triglyceride (TG) levels >3 mmol/L in untreated subjects or use of lipid lowering medication. The effect of weight, body mass index (BMI), waist circumference, type 2 diabetes mellitus and non-TG metabolic syndrome on development of dyslipidemia was investigated.Results: Eleven of the 69 epsilon 2 epsilon 2 subjects (16%) developed dyslipidemia-likely FD-during follow-up. Age-, sexand cohort-adjusted risk factors for the development of FD were BMI (OR 1.19; 95%CI 1.04-1.39), waist circumference (OR 1.26 95%CI 1.01-1.61) and presence of non-TG metabolic syndrome (OR 4.39; 95%CI 1.04-18.4) at baseline. Change in adiposity during follow-up was not associated with development of dyslipidemia.Conclusions: Adiposity increases the risk of developing an FD-like lipid phenotype in homozygous APOE epsilon 2 subjects. These results stress the importance of healthy body weight in subjects at risk of developing FD.

OBJECTIVES: Stroke severity is an important prognostic indicator of morbidity and mortality, but often not recorded outside of specialised stroke centres. We aimed to develop a scoring rule and validate standardised assessment of the National Institutes of Health Stroke Scale (NIHSS) from medical records.METHODS: We developed a standardised assessment of the NIHSS from medical records. Four trained raters independently assessed the charts of 100 patients with first-ever stroke, randomly selected from the population-based Rotterdam Study cohort. Interrater agreement was determined using the intraclass correlation coefficient (ICC), and Fleiss' kappa for major versus minor stroke. We validated the scoring method against 29 prospective, clinical NIHSS ratings, using Kendall's tau and Cohen's kappa.RESULTS: Of 100 included patients with stroke (mean age 80 years, 62% women), 71 (71%) were admitted to hospital and 9 (9%) were seen in outpatient clinic, whereas 20 (20%) were treated exclusively by their general practitioner or nursing home physician. Interrater agreement for retrospective, chart-based NIHSS ratings was excellent when assessed continuously (ICC: 0.90), and for minor versus major stroke (for NIHSS>3: κ=0.79, NIHSS>5: κ=0.78). Interrater agreement was good both for hospital-based and out-of-hospital settings (ICC: 0.97 and 0.75 respectively). Overall, assessment from medical records was in excellent agreement with prospective NIHSS ratings (τ=0.83; NIHSS>3: κ=0.93, and NIHSS>5: κ=0.93). However, for severe stroke (NIHSS>10) retrospective assessment tended to underestimate severity by 1-3 points on the NIHSS, which was accompanied by a somewhat lower interrater agreement for those more severe cases (NIHSS>10: κ=0.62).CONCLUSIONS: Assessment of stroke severity according to the NIHSS on the basis of medical records is feasible and reliable in population-based cohorts of patients with stroke. These findings facilitate more individualised risk estimates in observational studies that lack prospective ascertainment of stroke severity.

BACKGROUND AND AIMS: We aimed to determine associations of plasma amyloid-β40 (Aβ40) with subclinical atherosclerosis and risk of atherosclerotic cardiovascular disease (ASCVD) in the general population. METHODS: Between 2002 and 2005, plasma Aβ40 was measured by single molecule array (SiMoA®) in 3879 participants of the population-based Rotterdam Study (mean age: 71 years, 61% female). Subclinical atherosclerosis was quantified as computed tomography-assessed calcification volumes. We determined the association of Aβ40 with calcification volumes and clinical ASCVD event risk, and repeated the analyses for ASCVD in a replication cohort of 1467 individuals. RESULTS: Higher levels of Aβ40 were associated with increased volumes of calcification in the coronary arteries and to a lesser extent extracranial carotid arteries, independent of traditional cardiovascular risk factors. Of all 3879 participants, 748 developed ASCVD during a median 9.7 years of follow-up. In age- and sex-adjusted models, higher Aβ40 predisposed to a minor increase in ASCVD risk (HR [95%CI]: 1.11[1.02-1.21] per 1-SD increase in Aβ40), driven by coronary heart disease (HR: 1.17[1.05-1.29]) rather than stroke (HR: 1.04[0.93-1.16]). However, excess risk of clinical outcomes was largely explained by baseline differences in cardiovascular risk factors and attenuated after further adjustment (for ASCVD- HR: 1.05[0.96-1.15] and for CHD- HR: 1.08[0.96-1.20]). Results were similar in the replication cohort, with highest risk estimates for CHD (HR: 1.24[1.04-1.48]) in age- and sex-adjusted models, attenuated after adjustment for cardiovascular risk factors (HR: 1.15[0.96-1.39]). CONCLUSIONS: In this population-based study, higher plasma amyloid-β40 is associated with subclinical atherosclerosis, but not risk of first-ever ASCVD after accounting for traditional cardiovascular risk factors. ispartof: ATHEROSCLEROSIS vol:348 pages:44-50 ispartof: location:Ireland status: published

Background Previous studies have suggested that the association between APOE ɛ 4 and dementia is moderated by physical activity (PA), but the results remain inconclusive and longitudinal data on cognitive decline are missing. In this study, we examine whether there is a gene–environment interaction between APOE and PA on cognitive decline in older adults using 9-year follow-up data of three cohort studies. Methods We followed 7,176 participants from three longitudinal cohort studies: Longitudinal Aging Study Amsterdam (LASA), InCHIANTI, and Rotterdam Study for 9 years. PA was assessed with self-reported questionnaires and was categorized in low, moderate, and high PA. Cognitive function was assessed with the Mini-Mental State Examination (MMSE) and cognitive decline was defined as a decrease of three points or more on the MMSE during 3 years follow-up. We fitted logistic regression models using generalized estimating equations adjusting for age, sex, education, depressive symptoms, and number of chronic disease. Interaction between APOE and PA was tested on multiplicative and additive scale. Results Cohorts were similar in most aspects but InCHIANTI participants were on average older and had lower education. APOE ɛ 4 carriers had higher odds of cognitive decline (odds ratio [OR] = 1.46, 95% confidence interval [CI]: 1.29–1.64) while PA was not significantly associated with cognitive decline overall (moderate PA: OR = 0.87, 0.67–1.13; high PA: OR = 0.71, 0.36–1.40). There was no evidence for an interaction effect between PA and APOE ɛ 4 in cognitive decline in older adults (APOE × moderate PA: p = .83; APOE × high PA: p = .90). Conclusions Previous claims of a gene–environment interaction between APOE ɛ 4 and PA in cognitive decline are not supported by our results.

ObjectiveThe disconnectivity hypothesis postulates that partial loss of connecting white matter fibers between brain regions contributes to the development of dementia. Using diffusion MRI to quantify global and tract-specific white matter microstructural integrity, we tested this hypothesis in a longitudinal population-based study.MethodsGlobal and tract-specific fractional anisotropy (FA) and mean diffusivity (MD) were obtained in 4,415 people without dementia (mean age 63.9 years, 55.0% women) from the prospective population-based Rotterdam Study with brain MRI between 2005 and 2011. We modeled the association of these diffusion measures with risk of dementia (follow-up until 2016) and with changes on repeated cognitive assessment after on average 5.4 years, adjusting for age, sex, education, macrostructural MRI markers, depressive symptoms, cardiovascular risk factors, and APOE genotype.ResultsDuring a median follow-up of 6.8 years, 101 participants had incident dementia, of whom 83 had clinical Alzheimer disease (AD). Lower global values of FA and higher values of MD were associated with an increased risk of dementia (adjusted hazard ratio [95% confidence interval (CI)] per SD increase for MD 1.79 [1.44–2.23] and FA 0.65 [0.52–0.80]). Similarly, lower global values of FA and higher values of MD related to more cognitive decline in people without dementia (difference in global cognition per SD increase in MD [95% CI] was −0.04 [−0.07 to −0.01]). Associations were most profound in the projection, association, and limbic system tracts.ConclusionsStructural disconnectivity is associated with an increased risk of dementia and more pronounced cognitive decline in the general population.

ObjectiveTo determine changes in the incidence of dementia between 1988 and 2015.MethodsThis analysis was performed in aggregated data from individuals >65 years of age in 7 population-based cohort studies in the United States and Europe from the Alzheimer Cohort Consortium. First, we calculated age- and sex-specific incidence rates for all-cause dementia, and then defined nonoverlapping 5-year epochs within each study to determine trends in incidence. Estimates of change per 10-year interval were pooled and results are presented combined and stratified by sex.ResultsOf 49,202 individuals, 4,253 (8.6%) developed dementia. The incidence rate of dementia increased with age, similarly for women and men, ranging from about 4 per 1,000 person-years in individuals aged 65–69 years to 65 per 1,000 person-years for those aged 85–89 years. The incidence rate of dementia declined by 13% per calendar decade (95% confidence interval [CI], 7%–19%), consistently across studies, and somewhat more pronouncedly in men than in women (24% [95% CI 14%–32%] vs 8% [0%–15%]).ConclusionThe incidence rate of dementia in Europe and North America has declined by 13% per decade over the past 25 years, consistently across studies. Incidence is similar for men and women, although declines were somewhat more profound in men. These observations call for sustained efforts to finding the causes for this decline, as well as determining their validity in geographically and ethnically diverse populations.

Background: Various clinical studies have provided estimates of life expectancy of patients with mild cognitive impairment (MCI) from outpatient clinics, but whether these apply to community-dwelling individuals at home or in primary care is uncertain. Methods: Within the population-based Rotterdam Study, we studied life expectancy with and without dementia in 648 community-dwelling persons with MCI and 6410 without MCI. Participants aged 60 years and older were assessed for MCI at baseline (2002–2014) and subsequently followed for the onset of dementia and death. We used multistate life tables to determine age-specific life expectancy with and without dementia by sex, educational attainment, and MCI subtype. Results: Total life expectancy for MCI ranged from 21.4 years (95% CI: 19.0–23.6) at age 60 to 2.6 years (1.6–3.6) at age 95. With advancing age, an increasing proportion of these years was lived with dementia (2.9 years [1.8–4.0] at age 60; 1.2 [0.2–2.2] at age 95). Women and higher educated individuals lived longer and lived more years with dementia. No differences in total life expectancy were observed by MCI subtype, although individuals with amnestic MCI lived a larger proportion of those years with dementia. Conclusions: Prognosis of MCI, in terms of life years lived with and without dementia, is more favorable in the general population than described in prior clinical observations, due likely to a substantial proportion of individuals with MCI in the clinic not seeking medical attention in an earlier stage.

Objective: To assess risk of dementia after first-ever hemorrhagic or ischemic strokes in three prospective cohort studies (Three City, Framingham Heart Study and Rotterdam Study). Methods: Prospective data on incident hemorrhagic or ischemic strokes and matched stroke free comparison was used for each stroke subtype. 5-year risk of dementia after hemorrhagic or ischemic stroke was assessed using a matched case-cohort design. A random effects meta-analysis was used to combine hazard ratios for each study and variations in risk stratified by APOE ε4 allele were assessed. A direct comparison of risk of dementia after hemorrhagic compared with ischemic strokes was evaluated. In a sensitivity analysis Fine & Gray models were conducted after adjusting for competing deaths and subdistribution hazard ratios were computed. Pre-event and post-event cumulative incidence of dementia at 3, 6, 12, 24, 36 and 60 months were assessed. Results: A total of 4,922 persons, including 247 incident hemorrhagic strokes and 1,427 ischemic strokes were included. The combined hazard ratios of dementia were 2.78 (95% CI 1.28, 6.03) after hemorrhagic and 3.35 (1.51, 7.43) after ischemic stroke compared to stroke free individuals. The combined risk of dementia was 0.71 (0.14, 3.68) after hemorrhagic compared with ischemic stroke. Among individuals with APOE ε4 allele, the risk of dementia was 3.88 (1.16, 12.98) after hemorrhagic stroke and 2.10 (1.28, 3.42) after ischemic stroke compared to stroke-free individuals. The cumulative incidence post-event for hemorrhagic strokes flattened between 6 and 24 months with slight increase thereafter, in-contrast to a steady increase in dementia risk over time after ischemic strokes. Conclusions: No difference was observed in overall 5-year risk of dementia after hemorrhagic or ischemic stroke, while the risk was about 3 times higher compared to stroke-free individuals of similar risk profiles. APOE ε4 allele doubles the risk of dementia among hemorrhagic stroke survivors. Risk of dementia after ischemic stroke follows a stepwise pattern overtime, in contrast, dementia risk after hemorrhagic stroke is highest in the early phase.

INTRODUCTION: Impact of white matter hyperintensities (WMH) on cognition likely depends on lesion location, but a comprehensive map of strategic locations is lacking. We aimed to identify these locations in a large multicenter study.METHODS: Individual patient data (n = 3525) from 11 memory clinic cohorts were harmonized. We determined the association of WMH location with attention and executive functioning, information processing speed, language, and verbal memory performance using voxel-based and region of interest tract-based analyses.RESULTS: WMH in the left and right anterior thalamic radiation, forceps major, and left inferior fronto-occipital fasciculus were significantly related to domain-specific impairment, independent of total WMH volume and atrophy. A strategic WMH score based on these tracts inversely correlated with performance in all domains.DISCUSSION: The data show that the impact of WMH on cognition is location-dependent, primarily involving four strategic white matter tracts. Evaluation of WMH location may support diagnosing vascular cognitive impairment.HIGHLIGHTS: We analyzed white matter hyperintensities (WMH) in 3525 memory clinic patients from 11 cohorts The impact of WMH on cognition depends on location We identified four strategic white matter tracts A single strategic WMH score was derived from these four strategic tracts The strategic WMH score was an independent determinant of four cognitive domains.

Background: Previous studies suggest poor pulmonary function is associated with increased burden of cerebral white matter hyperintensities and brain atrophy among elderly individuals, but the results are inconsistent. Objective: To study the cross-sectional associations of pulmonary function with structural brain variables. Methods: Data from six large community-based samples (N = 11,091) were analyzed. Spirometric measurements were standardized with respect to age, sex, height, and ethnicity using reference equations of the Global Lung Function Initiative. Associations of forced expiratory volume in 1 second (FEV1), forced vital capacity (FVC), and their ratio FEV1/FVC with brain volume, gray matter volume, hippocampal volume, and volume of white matter hyperintensities were investigated using multivariable linear regressions for each study separately and then combined using random-effect meta-analyses. Results: FEV1 and FVC were positively associated with brain volume, gray matter volume, and hippocampal volume, and negatively associated with white matter hyperintensities volume after multiple testing correction, with little heterogeneity present between the studies. For instance, an increase of FVC by one unit was associated with 3.5 ml higher brain volume (95% CI: [2.2, 4.9]). In contrast, results for FEV1/FVC were more heterogeneous across studies, with significant positive associations with brain volume, gray matter volume, and hippocampal volume, but not white matter hyperintensities volume. Associations of brain variables with both FEV1 and FVC were consistently stronger than with FEV1/FVC, specifically with brain volume and white matter hyperintensities volume. Conclusion: In cross-sectional analyses, worse pulmonary function is associated with smaller brain volumes and higher white matter hyperintensities burden.

Background During the Coronavirus Disease 2019 (COVID-19) pandemic, the number of consultations and diagnoses in primary care and referrals to specialist care declined substantially compared to prepandemic levels. Beyond deferral of elective non-COVID-19 care by healthcare providers, it is unclear to what extent healthcare avoidance by community-dwelling individuals contributed to this decline in routine healthcare utilisation. Moreover, it is uncertain which specific symptoms were left unheeded by patients and which determinants predispose to healthcare avoidance in the general population. In this cross-sectional study, we assessed prevalence of healthcare avoidance during the pandemic from a patient perspective, including symptoms that were left unheeded, as well as determinants of healthcare avoidance. Methods and findings On April 20, 2020, a paper COVID-19 survey addressing healthcare utilisation, socioeconomic factors, mental and physical health, medication use, and COVID-19–specific symptoms was sent out to 8,732 participants from the population-based Rotterdam Study (response rate 73%). All questionnaires were returned before July 10, 2020. By hand, prevalence of healthcare avoidance was subsequently verified through free text analysis of medical records of general practitioners. Odds ratios (ORs) for avoidance were determined using logistic regression models, adjusted for age, sex, and history of chronic diseases. We found that 1,142 of 5,656 included participants (20.2%) reported having avoided healthcare. Of those, 414 participants (36.3%) reported symptoms that potentially warranted urgent evaluation, including limb weakness (13.6%), palpitations (10.8%), and chest pain (10.2%). Determinants related to avoidance were older age (adjusted OR 1.14 [95% confidence interval (CI) 1.08 to 1.21]), female sex (1.58 [1.38 to 1.82]), low educational level (primary education versus higher vocational/university 1.21 [1.01 to 1.46), poor self-appreciated health (per level decrease 2.00 [1.80 to 2.22]), unemployment (versus employed 2.29 [1.54 to 3.39]), smoking (1.34 [1.08 to 1.65]), concern about contracting COVID-19 (per level increase 1.28 [1.19 to 1.38]) and symptoms of depression (per point increase 1.13 [1.11 to 1.14]) and anxiety (per point increase 1.16 [1.14 to 1.18]). Study limitations included uncertainty about (perceived) severity of the reported symptoms and potentially limited generalisability given the ethnically homogeneous study population. Conclusions In this population-based cross-sectional study, 1 in 5 individuals avoided healthcare during lockdown in the COVID-19 pandemic, often for potentially urgent symptoms. Healthcare avoidance was strongly associated with female sex, fragile self-appreciated health, and high levels of depression and anxiety. These results emphasise the need for targeted public education urging these vulnerable patients to timely seek medical care for their symptoms to mitigate major health consequences., Marije J. Splinter and colleagues assess the prevalence of healthcare avoidance during the COIVD-19 pandemic and investigate related determinants, Author summary Why was this study done? ➢ During the Coronavirus Disease 2019 (COVID-19) pandemic, consultation rates in both primary and specialist care declined compared to prepandemic levels, which can partially be attributed to the postponement or cancellation of elective and nonurgent medical care. ➢ It is unclear to what extent these declines in consultation rates could be related to healthcare avoidance by patients in the general population. ➢ To evaluate the collateral health damage of the COVID-19 pandemic, it is important to not only assess the prevalence of healthcare avoidance, but also for what symptoms healthcare was avoided and which determinants are associated with this behaviour. What did the researchers do and find? ➢ We sent out a paper questionnaire to 8,732 participants of the population-based Rotterdam Study containing several COVID-19–related subjects, such as healthcare utilisation, work status, mental and physical health, and concerns about contracting COVID-19. ➢ About 6,241 participants (73%) returned the questionnaire, of whom 5,656 participants (90.6%) were included in our analyses. We found that 1,142 of them (20.2%) avoided healthcare during the COVID-19 pandemic, often for symptoms that might have needed urgent medical evaluation, such as limb weakness (13.6%), palpitations (10.8%), and chest pain (10.2%). ➢ Determinants that were most strongly associated with healthcare avoidance were female sex, poor self-appreciated health, and high levels of depression and anxiety. What do these findings mean? ➢ The results of this population-based study suggest that healthcare avoidance contributed to the decline in consultation rates during the COVID-19 pandemic. Importantly, our findings suggest that this behaviour may be associated with certain vulnerable groups within the population. ➢ These findings should be interpreted in light of the limitations of this study, which include that the actual severity of the symptoms that were reported by participants is unknown, since they were not medically evaluated when they experienced these symptoms. ➢ The findings of this study can be used to develop policy interventions targeted to vulnerable individuals who may be more likely to exhibit healthcare avoiding behaviours.

Importance For informed decision making on diagnosis and treatment of dementia, physicians and their patients rely on the generalizability of evidence from published studies to clinical practice. However, it is uncertain whether everyday care of elderly patients with dementia is sufficiently captured in contemporary research. Objective To systematically review contemporary dementia research in terms of study and patient characteristics in order to assess generalizability of research findings. Evidence Review PubMed was searched for dementia studies published in the top 100 journals in the fields of neurology and neuroscience, geriatrics, psychiatry, and general medicine between September 1, 2018, and August 31, 2019. Two reviewers extracted study characteristics, including setting, number of participants, age at diagnosis, and use of biomarkers. Findings Among 513 identified studies, 211 (41%) included fewer than 50 individuals with dementia and were excluded. The remaining 302 studies included a median (interquartile range) of 214 patients (98-628) with a mean (SD) age at diagnosis of 74.1 years (8.0). Age at diagnosis differed with study setting. Patients in the 180 clinic-based studies had a mean (SD) age of 71.8 (6.4) years at time of diagnosis compared with 80.6 (4.7) years among patients in the 79 population-based studies (mean difference, 8.8 years; 95% CI, 7.3-10.2). Use of magnetic resonance imaging, positron emission tomography imaging, and cerebrospinal fluid imaging was mostly done in clinic-based studies (80% to 96%) and consequently in relatively young patients (mean [SD] age, 71.6 [5.1] years). A longitudinal design was more common in population-based studies than in clinic-based studies (82 % vs 40%). Most studies originated from North America and Europe (89%), including almost exclusively White participants (among 74 studies [22%] reporting on ethnicity: median [interquartile range], 89% [78-97]). The 3 most studied cohorts represented 21% of all included study populations. Conclusions and Relevance Contemporary dementia research is limited in terms of racial and geographic diversity and draws largely from clinic-based populations with relatively young patients. Greater inclusivity and deeper phenotyping in unselected cohorts could improve generalizability as well as diagnosis and development of effective treatments for all patients with dementia.

Introduction Poor gait has recently emerged as a potential prodromal feature of cognitive decline and dementia. We assessed to what extent various aspects of poor gait are independently associated with cognitive decline and incident dementia. Methods We leveraged detailed quantitative gait (GAITRite™) and cognitive assessments in 4258 dementia-free participants (median age 67 years, 55% women) of the population-based Rotterdam Study (baseline 2009–2013). We summarized 30 gait parameters into seven mutually independent gait domains and a Global Gait score. Participants underwent follow-up cognitive assessments between 2014 and 2016 and were followed up for incident dementia until 2016 (median 4 years). Results Three independent gait domains (Base of Support, Pace, and Rhythm) and Global Gait were associated with cognitive decline. Two independent gait domains (Pace and Variability) and Global Gait were associated with incident dementia. Associations of gait with cognitive decline and incident dementia were only present in individuals who had been cognitively unimpaired at baseline. Discussion Poor performance on several independent gait domains precedes cognitive decline and incident dementia.

The notion of what qualifies as vascular dementia has varied greatly since the first mention of dementia after apoplexy in ancient literature. Current insight points towards a multifactorial cause of cognitive decline at old age, in which vascular components like atherosclerosis, arterio(lo)sclerosis, (micro)infarcts, and amyloid angiopathy play an important role alongside other markers of neurodegeneration. Cerebrovascular disease will be present in most individuals with dementia, but—just like other causes—rarely a cause on its own. The consequent limitations of nosology may be alleviated by addition of a vascular component to the recently introduced amyloid/tau/neurodegeneration etiological classification system for dementia. Meanwhile, risk of dementia is increased about 2-fold after stroke, and the prevention of (recurrent) stroke remains a cornerstone in the prevention of vascular dementia. Similarly, control of cardiovascular risk factors from middle age onwards is likely to have contributed to the reported decline in the age-specific incidence of dementia over the past decades. In conjunction with experimental studies, large-scale observational evidence from imaging, genomics, metabolomics, and alike will continue to improve our understanding of the underlying pathophysiological processes. To prevent ecological fallacies, such etiological studies in patients with dementia are best served by inclusion of subjects regardless of the presumed (single) cause of their disease.

Reliable population estimates of life expectancy with dementia are required for shaping health-care policy. From the Dutch, population-based Rotterdam Study, 10,348 persons were followed during 1990-2015 for dementia and death. We created multistate lifetables, and assessed the effect of postponing disease onset. During 120,673 person-years, 1,666 persons developed dementia, and 6,150 died. Overall life expectancy of women ranged from 18.0 years (95% confidence interval (CI): 17.8, 18.2) at age 65 to 2.3 years (95% CI: 2.2, 2.3) at age 95. Of total life expectancy at age 65, 5.7% (1.0 year (95% CI: 1.0, 1.1)) was lived with dementia, increasing with age to 42.1% (1.0 year, 95% CI: 0.9, 1.0) at age 95. For men, life expectancy ranged from 15.6 years (95% CI: 15.4, 15.9) at age 65 to 1.8 years (95% CI: 1.7, 1.8) at age 95, of which 3.7% (95% CI: 0.6 year, 0.5, 0.6) and 35.3% (95% CI: 0.6 year, 0.5, 0.7), respectively, was lived with dementia. Postponing dementia onset by 1-3 years resulted in 25%-57% reductions in years lived with dementia. Survival after diagnosis ranged from 6.7 years (95% CI: 5.3, 8.1) before age 70, to 2.6 years (95% CI: 2.3, 2.9) after age 90. The burden of dementia on individuals and society in terms of healthy life-years lost is large but could potentially be mitigated by preventive interventions at the population level.

ObjectiveTo quantify the burden of common neurological disease in older adults in terms of lifetime risks, including their co-occurrence and preventive potential, within a competing risk framework.MethodsWithin the prospective population-based Rotterdam Study, we studied lifetime risk of dementia, stroke and parkinsonism between 1990 and 2016. Among 12 102 individuals (57.7% women) aged ≥45 years free from these diseases at baseline, we studied co-occurrence, and quantified the combined, and disease-specific remaining lifetime risk of these diseases at various ages for men and women separately. We also projected effects on lifetime risk of hypothetical preventive strategies that delay disease onset by 1, 2 and 3 years, respectively.ResultsDuring follow-up of up to 26 years (156 088 person-years of follow-up), 1489 individuals were diagnosed with dementia, 1285 with stroke and 263 with parkinsonism. Of these individuals, 438 (14.6%) were diagnosed with multiple diseases. Women were almost twice as likely as men to be diagnosed with both stroke and dementia during their lifetime. The lifetime risk for any of these diseases at age 45 was 48.2% (95% CI 47.1% to 51.5%) in women and 36.2% (35.1% to 39.3%) in men. This difference was driven by a higher risk of dementia as the first manifesting disease in women than in men (25.9% vs 13.7%; pConclusionOne in two women and one in three men will develop dementia, stroke or parkinsonism during their life. These findings strengthen the call for prioritising the focus on preventive interventions at population level which could substantially reduce the burden of common neurological diseases in the ageing population.

To determine secular trends in the number of doctoral degrees among medical doctors in the Netherlands, and assess their future career perspectives.Retrospective cohort study.Data on awarded doctoral degrees in the period 1992-2018 were acquired from all medical faculties in the Netherlands. For the 2008 cohort of graduates, I assessed 10-year career perspectives by determining their job affiliation and number of scientific publications in PubMed as of 2019.The average number of doctorate degrees awarded per medical faculty increased from 64 in 1992 to 198 in 2018, largely due to an increase in the number of female graduates, who comprised 60-65% of graduates in recent years. Nearly half of all PhD graduates were medical doctors. Of 368 medical doctors in the year 2008, 43% had an academic affiliation 10 years after graduation, similar for men and women (odds ratio [95% CI] for women: 1.40 [0.92-2.14]). During the intermediate 10 years, they published a median 7 scientific papers (interquartile range: 2-20), of which 1 (0-3) were written as lead author and 0 (0-2) as senior author. Men published more often than women (9 [3-27] vs. 6 [2-15] papers, P=0.03), in particular when situated in an academic work environment (23 [11-47] vs. 12 [5-25], P=0.005).The number of doctoral degrees awarded at medical faculties in the Netherlands has increased threefold over the past 30 years. While 10-year career perspectives after their viva were similar across gender, scientific output of men during this period exceeded that of women.

Background Subjects who carry one or two ɛ2 alleles of the APOE gene are protected from cardiovascular disease due to low LDL-cholesterol levels. However, 10–18% of ɛ2 homozygotes (ɛ2ɛ2) develop Familial Dysbetalipoproteinemia (FD), which is characterized by extensive remnant lipoprotein accumulation, making it a good model to study the effect of remnants on atherosclerosis and cardiovascular disease. Important causal factors for FD, or an “FD like phenotype” in ɛ2 heterozygotes (ɛ2ɛ3), are thought to be adiposity and insulin resistance. However, to date this relation was only evaluated in cross-sectional studies. Purpose To evaluate the cross-sectional and longitudinal association of adiposity and insulin resistance on the presence and development of FD in ɛ2ɛ2 or an “FD-like” phenotype in ɛ2ɛ3 subjects. Methods For this study we included 18042 subjects with an APOE measurement from two Dutch population-based cohorts; the PREVEND cohort (follow-up 4.1 (interquartile range (IQR) 4.0–4.4) years) and the Rotterdam Study (follow-up 10.1 (IQR 5.6–10.8) years). Subjects with an ɛ3ɛ3 genotype (n=10391) and ɛ4 carriers were excluded (n=5265). FD and “FD like” phenotype were defined as triglyceride levels >3 mmol/l or use of lipid lowering medication. Logistic regression models were used to evaluate the effect of age, sex, BMI, waist circumference, type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) on FD lipid phenotype. Changes in adiposity measures and insulin resistance between baseline and follow-up were compared in subjects with and without development of FD at follow-up. Results In total, 2386 subjects were included of whom 118 participants had ɛ2ɛ2 and 2268 had ɛ2ɛ3 of whom 68% completed a follow-up visit. Subjects mean age was 59±14 years and 44% were male. In ɛ2ɛ2 subjects, 19% (n=23) had FD at baseline and 16% (n=11) developed FD during follow-up. In ɛ2ɛ3 subjects 13% (n=305) had an “FD like” phenotype at baseline and 11% (n=146) at follow-up. Cross-sectional determinants for the presence of an FD or “FD like” phenotype at baseline were male sex, BMI, waist circumference and non-lipid MetS criteria. In ɛ2ɛ2 subjects who developed FD during follow-up, markers of adiposity and insulin resistance did not change compared to baseline. However, these FD patients more often had adiposity (BMI, weight and waist circumference) and T2DM at baseline, compared to those and who did not developed FD. Conclusions These results show for the first time that adiposity and insulin resistance are important risk markers for future development of FD or “FD like” phenotype in ɛ2ɛ2- and ɛ2ɛ3 subjects. The increased susceptibility of ɛ2 carriers for development of an FD lipid phenotype by adiposity and insulin resistance might be due to impaired remnant clearance consequent to decreased binding affinity of APOɛ2 to the LDL-receptor in combination with degradation of the heparan sulfate receptor by insulin resistance (mediated by sulfatase 2 activation). Odds Ratios for FD lipid phenotype Funding Acknowledgement Type of funding source: Public hospital(s). Main funding source(s): UMC Utrecht; Erasmus MC; UMC Groningen