ADCOMS sensitivity versus baseline diagnosis and progression phenotypes

Dave Evenden, A. Prosser, S. Michopoulou, Christopher Kipps
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Abstract

Abstract BACKGROUND The Alzheimer's Disease COMposite Score (ADCOMS) is more sensitive in clinical trials than conventional measures when assessing pre‐dementia. This study compares ADCOMS trajectories using clustered progression characteristics to better understand different patterns of decline. METHODS Post‐baseline ADCOMS values were analyzed for sensitivity using mean‐to‐standard deviation ratio (MSDR), partitioned by baseline diagnosis, comparing with the original scales upon which ADCOMS is based. Because baseline diagnosis was not a particularly reliable predictor of progression, individuals were also grouped into similar ADCOMS progression trajectories using clustering methods and the MSDR compared for each progression group. RESULTS ADCOMS demonstrated increased sensitivity for clinically important progression groups. ADCOMS did not show statistically significant sensitivity or clinical relevance for the less‐severe baseline diagnoses and marginal progression groups. CONCLUSIONS This analysis complements and extends previous work validating the sensitivity of ADCOMS. The large data set permitted evaluation–in a novel approach–by the clustered progression group.
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ADCOMS 敏感性与基线诊断和病情发展表型的比较
摘要 背景 在临床试验中,阿尔茨海默病综合评分(ADCOMS)在评估痴呆前期时比传统方法更敏感。本研究使用聚类进展特征对 ADCOMS 的轨迹进行比较,以更好地了解不同的衰退模式。方法 使用平均标准偏差比(MSDR)对 ADCOMS 基线后的数值进行敏感性分析,按基线诊断进行划分,并与 ADCOMS 所依据的原始量表进行比较。由于基线诊断并不是一个特别可靠的疾病进展预测指标,因此还使用聚类方法将个体分为类似的 ADCOMS 进展轨迹组,并比较每个进展组的 MSDR。结果 ADCOMS 对临床重要进展组的敏感性有所提高。对于较轻的基线诊断和边缘进展组,ADCOMS 未显示出统计学意义上的显著敏感性或临床相关性。结论 该分析补充并扩展了之前验证 ADCOMS 灵敏度的工作。庞大的数据集允许以一种新颖的方法对分组进展组进行评估。
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