Alzheimer's disease: Estimating its prevalence rate in a French geographical unit using the National Alzheimer Data Bank and national health insurance information systems

Abstract

Background Reliable epidemiological data on Alzheimer's disease are scarce. However, these are necessary to adapt healthcare policy in terms of prevention, care and social needs related to this condition. To estimate the prevalence rate in the Alpes-Maritimes on the French Riviera, with a population of one million, we present a capture-recapture procedure applied to cases of Alzheimer’s disease, based on two epidemiological surveillance systems. Methods To estimate the total number of patients affected by Alzheimer's disease, a capture-recapture study included a cohort of patients with Alzheimer's disease or receiving medications only eligible for use for this condition, recorded by a specific health insurance information system (Health Insurance Cohort, HIC), and those registered in the French National Alzheimer’s Data Bank (“Banque Nationale Alzheimer”, BNA) in 2010 and 2011. We applied Bayesian estimation of the M t ecological model, taking into account age and gender as covariates, i.e. factors of inhomogeneous catchability. Results Overall, 5,562 patients with Alzheimer's disease were recorded, of whom only 856 were common to both information systems. Mean age and F/M sex ratio differed between BNA and HIC surveillance systems, 81 vs 84 years and 2.7 vs 3.2, respectively. A Bayesian estimation, with age and gender as covariates, yields an estimate of 15,060 cases of Alzheimer's disease [ 95%HPDI : 14,490–15,630] in the Alpes-Maritimes. The completeness of the HIC and BNA databases were respectively of 25.4% and 17.2%. The estimated prevalence rate among the population over 65 years old was 6.3% in 2010–2011. Conclusions This study demonstrates that it is possible to determine the number of subjects affected by Alzheimer's disease in a geographical unit, using available data from two existing surveillance systems in France, i.e. 15,060 cases in the Alpes-Maritimes. This is the first stage of a population-based approach in view of adapting available resources to the population’s needs.

Sex differences in brain aging among adults with family history of Alzheimer’s disease and APOE4 genetic risk

“…Women represent two-thirds of the cases of late-onset Alzheimer’s Disease (AD; Alzheimer’s Association, 2019 , Bailly et al, 2019 , Mielke et al, 2014 , Nebel et al, 2018 , Schmidt et al, 2008 ). Indeed, female biological sex constitutes a risk to AD, after accounting for sex differences in longevity ( Buckley et al, 2019 , Prince et al, 2016 ).…”

Epidemiology of amyloidosis (prevalence of etiological thinking)

“…13,9% -~3,4 млн человек. Соответствующие значения для болезни Альцгеймера составили 9,7% и 2,4 млн человек [63]. Поскольку численность населения США в 2002 году составляла 288,37 млн, расчетная заболеваемость болезнью Альцгеймера -8322,641 : 1 000 000 чел.…”

Modified cued recall test in the French population with Down syndrome: A retrospective medical records analysis

“…Age, sex, genetic predisposition and environmental risks have been mentioned as factors promoting the development of AD. In Western Europe, prevalence of AD is estimated at 5% and mostly affects people aged ≥65 years (Mayeux & Stern 2012;Bailly et al 2019). However, approximately 4% of people with AD have early-onset AD, with diagnosis made before the age of 65 years (Baillon et al 2019).…”

“…In Western Europe, prevalence of AD is estimated at 5% and mostly affects people aged ≥65 years (Mayeux & Stern 2012; Bailly et al . 2019). However, approximately 4% of people with AD have early‐onset AD, with diagnosis made before the age of 65 years (Baillon et al .…”