基于网络的应用程序，用于预测阿尔茨海默病的负担。

Web-based application to project the burden of Alzheimer's disease.

机构信息

Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.

出版信息

Alzheimers Dement. 2010 Sep;6(5):425-8. doi: 10.1016/j.jalz.2010.01.014. Epub 2010 Aug 5.

DOI:10.1016/j.jalz.2010.01.014

PMID:20691645

Abstract

BACKGROUND

Health care planning and research would benefit from tools that enable researchers to project the future burden of Alzheimer's disease (AD) and evaluate the effect of potential interventions.

METHODS

We created a web-based application of the AD prevalence model developed by Brookmeyer et al (Am J Public Health 1998;88:1337-42; Alzheimers Dement 2007;3:186-91). The user defines the disease parameters and any interventions that may either reduce risk or slow disease progression. We expanded the parameters to include the cost and weights for disability-adjusted life years.

APPLICATION

The secure, web-based application generates detailed AD projections for each calendar year to 2050, and allows users to create personal accounts for them to save, retrieve, and modify the input parameters. The flexibility of the application is illustrated with a forecast for the state of Maryland, USA.

CONCLUSIONS

The application generates AD burden projections, costs, and disability-adjusted life years, along with changes associated with potential interventions.

摘要

背景

医疗保健规划和研究将受益于能够使研究人员预测未来阿尔茨海默病（AD）负担并评估潜在干预措施效果的工具。

方法

我们创建了一个基于 Web 的应用程序，该应用程序基于 Brookmeyer 等人开发的 AD 患病率模型（Am J Public Health 1998;88:1337-42;Alzheimers Dement 2007;3:186-91）。用户可以定义疾病参数和任何可能降低风险或减缓疾病进展的干预措施。我们扩展了参数，以包括残疾调整生命年的成本和权重。