Predicting the progression of Alzheimer's disease dementia: A multidomain health policy model.

Predicting the progression of Alzheimer's disease dementia: A multidomain health policy model.
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DOI:
10.1016/j.jalz.2016.01.011
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发表时间:
2016-07
期刊:
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子:
--
通讯作者:
Zhang S
Zhang S
中科院分区:
其他
文献类型:
--
作者:
Green C;Zhang S

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我们开发了一个多域模型来预测阿尔茨海默病痴呆(AD)的进展。来自美国国家阿尔茨海默氏症协调中心(n = 3009)的数据用于检查症状状态的变化,并估计使用认知功能,功能能力和行为描述的健康状态之间的转换概率。模型用于预测进展并评估减缓轻度至中度AD进展的假设治疗方案。超过70%的参与者在12个月内搬家。大多数人在认知功能以外的领域移动。超过5年,那些活着的人中有一半以上处于严重的AD健康状态。在评估干预方案时,我们看到更严重健康状况的年数减少,并由于死亡率的改善而产生潜在影响(节省的生命年数)。开发的模型是探索性的,有局限性,但说明了使用多领域的方法评估AD和干预措施的影响时的重要性。
We develop a multidomain model to predict progression of Alzheimer's disease dementia (AD). Data from the US National Alzheimer's Coordinating Center (n = 3009) are used to examine change in symptom status and to estimate transition probabilities between health states described using cognitive function, functional ability, and behavior. A model is used to predict progression and to assess a hypothetical treatment scenario that slows mild to moderate AD progression. More than 70% of participants moved state over 12 months. The majority moved in domains other than cognitive function. Over 5 years, of those alive more than half are in severe AD health states. Assessing an intervention scenario, we see fewer years in more severe health states and a potential impact (life years saved) due to mortality improvements. The model developed is exploratory and has limitations but illustrates the importance of using a multidomain approach when assessing impacts of AD and interventions.
DOI: 10.1016/j.jalz.2011.03.005
发表时间: 2011-05
期刊: Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子: --
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