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Background Recent reports have suggested declining age-specific incidence rates of dementia in high-income countries over time. Improved education and cardiovascular health in early age have been suggested to be bringing about this effect. The aim of this study was to estimate the age-specific dementia incidence trend in primary care records from a large population in the Netherlands. Methods and findings A dynamic cohort representative of the Dutch population was composed using primary care records from general practice registration networks (GPRNs) across the country. Data regarding dementia incidence were obtained using general-practitioner-recorded diagnosis of dementia within the electronic health records. Age-specific dementia incidence rates were calculated for all persons aged 60 y and over; negative binomial regression analysis was used to estimate the time trend. Nine out of eleven GPRNs provided data on more than 800,000 older people for the years 1992 to 2014, corresponding to over 4 million person-years and 23,186 incident dementia cases. The annual growth in dementia incidence rate was estimated to be 2.1% (95% CI 0.5% to 3.8%), and incidence rates were 1.08 (95% CI 1.04 to 1.13) times higher for women compared to men. Despite their relatively low numbers of person-years, the highest age groups contributed most to the increasing trend. There was no significant overall change in incidence rates since the start of a national dementia program in 2003 (-0.025; 95% CI -0.062 to 0.011). Increased awareness of dementia by patients and doctors in more recent years may have influenced dementia diagnosis by general practitioners in electronic health records, and needs to be taken into account when interpreting the data. Conclusions Within the clinical records of a large, representative sample of the Dutch population, we found no evidence for a declining incidence trend of dementia in the Netherlands. This could indicate true stability in incidence rates, or a balance between increased detection and a true reduction. Irrespective of the exact rates and mechanisms underlying these findings, they illustrate that the burden of work for physicians and nurses in general practice associated with newly diagnosed dementia has not been subject to substantial change in the past two decades. Hence, with the ageing of Western societies, we still need to anticipate a dramatic absolute increase in dementia occurrence over the years to come., Author(s): Emma F. van Bussel 1,*, Edo Richard 2,3, Derk L. Arts 1, Astrid C. J. Nooyens 4, Preciosa M. Coloma 5, Margot W. M. de Waal 6, Marjan van [...]

Longitudinal observational cohort studies are being conducted worldwide to understand cognition, biomarkers, and the health of the aging population better. Cross-cohort comparisons and networks of registries in Alzheimer's disease (AD) foster scientific exchange, generate insights, and contribute to the evolving clinical science in AD. A scientific working group was convened with invited investigators from established cohort studies in AD, in order to form a research collaboration network as a resource to address important research questions. The Connecting Cohorts to Diminish Alzheimer's Disease (CONCORD-AD) collaboration network was created to bring together global resources and expertise, to generate insights and improve understanding of the natural history of AD, to inform design of clinical trials in all disease stages, and to plan for optimal patient access to disease-modifying therapies once they become available. The network brings together expertise and data insights from 7 cohorts across Australia, Europe, and North America. Notably, the network includes populations recruited through memory clinics as well as population-based cohorts, representing observations from individuals across the AD spectrum. This report aims to introduce the CONCORD-AD network, providing an overview of the cohorts involved, reporting the common assessments used, and describing the key characteristics of the cohort populations. Cohort study designs and baseline population characteristics are compared, and available cognitive, functional, and neuropsychiatric symptom data, as well as the frequency of biomarker assessments, are summarized. Finally, the challenges and opportunities of cross-cohort studies in AD are discussed. [ABSTRACT FROM AUTHOR]

Background: Multimorbidity (defined as ≥2 chronic conditions) has been associated with increased risk of mild cognitive impairment and cross-sectionally with imaging biomarkers of neurodegeneration in cognitively unimpaired persons aged ≥70 years. Its association with preclinical Alzheimer's disease stages has not been studied in detail yet. The objective of the study was to assess the cross-sectional association of multimorbidity with preclinical Alzheimer's disease stages and suspected non-amyloid pathophysiology in cognitively unimpaired participants of the Mayo Clinic Study of Aging (≥50 years of age).Methods: The study included 1,535 cognitively unimpaired participants with multimorbidity, 11C-PiB positron emission topography and magnetic resonance imaging data available. Abnormal (elevated) 11C-PiB-positron emission topography retention ratio (A+; standardized uptake value ratio >1.42) and abnormal (reduced) Alzheimer's disease signature cortical thickness (N+; <2.67 mm) were used to define biomarker combinations (A-N-, A+N-, A-N+, A+N+). Chronic medical conditions were ascertained by using the Rochester Epidemiology Project medical records linkage system and International Classification of Diseases criteria. Cross-sectional associations were examined using multinomial logistic regression models adjusting for age, sex, education, and apolipoprotein E ɛ4 allele status.Results: Frequency of A+, N+, A+N+, and A-N+ biomarker groups increased significantly with increasing number of chronic conditions. Multimorbidity was significantly associated with A+N+ (vs A-N-; odds ratio, 1.76, 95% confidence interval 1.02, 2.90) and A-N+ (vs A-N-; odds ratio, 2.16, 95% confidence interval 1.47, 3.18). There was a dose-response relationship between increasing number of chronic conditions (eg, 0-1, 2-3, and 4+) and the odds of A+N+ and A-N+ (vs A-N-).Conclusions: Multimorbidity was associated with biomarker combinations that included neurodegeneration with or without elevated amyloid deposition (ie, A-N+, A+N+). The associations should be validated in longitudinal studies. [ABSTRACT FROM AUTHOR]

Aim Electronic healthcare record (EHR)-based surveillance systems are increasingly being developed to support early detection of safety signals. It is unknown what the power of such a system is for surveillance among children and adolescents. In this paper we provide estimates of the number and classes of drugs, and incidence rates (IRs) of events, that can be monitored in children and adolescents (0-18 years). Methods Data were obtained from seven population-based EHR databases in Denmark, Italy, and the Netherlands during the period 1996-2010. We estimated the number of drugs for which specific adverse events can be monitored as a function of actual drug use, minimally detectable relative risk (RR) and IRs for 10 events. Results The population comprised 4 838 146 individuals (25 575 132 person years (PYs)), who were prescribed 2170 drugs (1 610 631 PYs drug-exposure). Half of the total drug-exposure in PYs was covered by only 18 drugs (0.8%). For a relatively frequent event like upper gastrointestinal bleeding there were 39 drugs for which an association with a RR ≥4, if present, could be investigated. The corresponding number of drugs was eight for a rare event like anaphylactic shock. Conclusion Drug use in children is rare and shows little variation. The number of drugs with enough exposure to detect rare adverse events in children and adolescents within an EHR-based surveillance system such as EU-ADR is limited. Use of additional sources of paediatric drug exposure information and global collaboration are imperative in order to optimize EHR data for paediatric safety surveillance. [ABSTRACT FROM AUTHOR]

Objectives: Non-steroidal anti-inflammatory drugs (NSAIDs), proton pump inhibitors (PPIs), low-dose aspirin and statins may decrease the risk of oesophageal adenocarcinoma (OAC) among patients with Barrett's oesophagus (BO). However, previous studies did not adequately address bias and confounding. Our objective was to estimate the risk of OAC among patients with BO exposed to NSAIDs, statins and PPIs. Design: Case-control study nested within a BO cohort. Setting: Two primary care databases (the UK and the Netherlands (NL)). Participants: Cases were adults =18 years of age with OAC or high-grade dysplasia (HGD) diagnosis =1 year after BO diagnosis. Controls were matched on age, sex, year of BO diagnosis and database. Exposure: Drug use was assessed from BO diagnosis until matching date. Outcome measure: Adjusted ORs with 95% CI were calculated by conditional logistic regression. Results: Within the BO cohort (n=15 134), 45 OAC (UK: 40, NL: 5) and 12 HGD cases (NL: 12) were identified. ORa for OAC during NSAID use was 1.2 (95% CI 0.6 to 2.5) and during statin use for >3 years 0.5 (95% CI 0.1 to 1.7). When including HGD cases (n=57), ORa for NSAID use was 0.9 (95% CI 0.5 to 1.8) and for statin use >3 years 0.5 (95% CI 0.1 to 1.7). Higher doses of statins showed lower estimates for OAC and HGD, though not statistically significant. Low-dose aspirin and PPIs did not significantly decrease the risk of OAC and HGD. Conclusions: In this population-based nested case-control study, use of NSAIDs, PPIs, low-dose aspirin or statins did not reduce the risk of HGD and OAC among patients with BO. These findings indicate that for an unselected group of patients with BO chemoprevention by use of drugs to reduce progression to HGD and OAC should not be directly considered as routine care. [ABSTRACT FROM AUTHOR]