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Predicting progression of Alzheimer's disease

机译:预测阿尔茨海默氏病的进展

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Introduction Clinicians need to predict prognosis of Alzheimer's disease (AD), and researchers need models of progression to develop biomarkers and clinical trials designs. We tested a calculated initial progression rate to see whether it predicted performance on cognition, function and behavior over time, and to see whether it predicted survival. Methods We used standardized approaches to assess baseline characteristics and to estimate disease duration, and calculated the initial (pre-progression) rate in 597 AD patients followed for up to 15 years. We designated slow, intermediate and rapidly progressing groups. Using mixed effects regression analysis, we examined the predictive value of a pre-progression group for longitudinal performance on standardized measures. We used Cox survival analysis to compare survival time by progression group. Results Patients in the slow and intermediate groups maintained better performance on the cognitive (ADAScog and VSAT), global (CDR-SB) and complex activities of daily living measures (IADL) ( P values Conclusions A simple, calculated progression rate at the initial visit gives reliable information regarding performance over time on cognition, global performance and activities of daily living. The slowest progression group also survives longer. This baseline measure should be considered in the design of long duration Alzheimer's disease clinical trials.
机译:简介临床医生需要预测阿尔茨海默氏病(AD)的预后,研究人员需要进展模型来开发生物标志物和临床试验设计。我们测试了计算出的初始进展率,以查看其是否能预测一段时间内认知,功能和行为的表现,并查看其是否可以预测生存率。方法我们使用标准化方法评估基线特征并估算疾病持续时间,并计算了随访15年的597名AD患者的初始(进展前)率。我们指定了缓慢,中度和快速发展的小组。使用混合效应回归分析,我们检查了标准水平下预进步组纵向表现的预测价值。我们使用Cox生存分析来按进展组比较生存时间。结果慢速和中速组的患者在认知(ADAScog和VSAT),总体(CDR-SB)和日常生活活动的复杂活动(IADL)方面保持较好的表现(P值结论初次就诊时简单,经计算的进展速度在认知,整体表现和日常生活活动方面提供了有关长期表现的可靠信息,进展最慢的人群也可以存活更长的时间,在设计长期阿尔茨海默氏病临床试验时应考虑这一基线指标。

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