Université Côte d'Azur, CHU de Nice, Département de Santé Publique, Centre Hospitalier Universitaire de Nice, Nice, France.
Université Côte d'Azur, CHU de Nice, Centre Mémoire de Ressources et de Recherche, EA CoBTeK, Nice, France.
PLoS One. 2019 May 6;14(5):e0216221. doi: 10.1371/journal.pone.0216221. eCollection 2019.
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.
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 Mt ecological model, taking into account age and gender as covariates, i.e. factors of inhomogeneous catchability.
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.
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.
关于老年痴呆症的可靠流行病学数据十分匮乏。然而，这些数据对于调整预防、护理和与该病相关的社会需求等方面的医疗保健政策是十分必要的。为了评估法国里维埃拉阿尔卑斯滨海省（位于法国东南部）的发病率，我们使用基于两个流行病学监测系统的捕获再捕获程序，报告了该地区的发病率。
为了估计受老年痴呆症影响的总人数，我们开展了一项捕获再捕获研究，研究对象包括由特定医疗保险信息系统（医疗保险队列，HIC）记录的患有老年痴呆症或正在使用仅适用于该疾病的药物的患者队列，以及在 2010 年和 2011 年登记在法国国家老年痴呆症数据库（“Banque Nationale Alzheimer”，BNA）中的患者。我们应用贝叶斯估计 Mt 生态模型，将年龄和性别作为协变量，即不均匀捕获率的因素。
共有 5562 例老年痴呆症患者被记录，其中只有 856 例同时出现在两个信息系统中。BNA 和 HIC 监测系统的平均年龄和男女比例存在差异，分别为 81 岁和 84 岁以及 2.7 和 3.2。贝叶斯估计结果表明，阿尔卑斯滨海省有 15060 例老年痴呆症病例（95%HPDI：14490-15630）。HIC 和 BNA 数据库的完整性分别为 25.4%和 17.2%。2010-2011 年，65 岁以上人群的估计患病率为 6.3%。
本研究表明，使用法国现有两个监测系统中的可用数据，可以确定地理区域内受老年痴呆症影响的人群数量，在阿尔卑斯滨海省估计有 15060 例。这是一种基于人群的方法的第一阶段，目的是根据人群的需求调整现有资源。
Zotero 插件