Department of Psychiatry, University of Iowa, Iowa City, IA, USA.
Department of Biostatistics, University of Iowa, Iowa City, IA, USA.
Arch Clin Neuropsychol. 2020 Aug 28;35(6):671-682. doi: 10.1093/arclin/acaa026.
The progression of Huntington's disease (HD) for gene-expanded carriers is well-studied. Natural aging effects, however, are not often considered in the evaluation of HD progression.
To examine the effects of natural aging for healthy controls and to develop normative curves by age, sex, and education from the distribution of observed scores for the Symbol Digit Modalities Test, Stroop Word Reading Test, Stroop Color Naming Test, Stroop Interference Test, Total Motor Score, and Total Functional Capacity (TFC) from the Unified Huntington's Disease Rating Scale (UHDRS) along with a composite score.
After combining longitudinal REGISTRY and Enroll-HD data, we used quantile regression and natural cubic splines for age to fit models for healthy controls (N = 3,394; N observations = 8,619). Normative curves were estimated for the 0.05, 0.25, 0.50, 0.75, and 0.95 quantiles. Two types of reference curves were considered: unconditional curves were dependent on age alone, whereas conditional curves were dependent on age and other covariates, namely sex and education.
Conditioning on education was necessary for the Symbol Digit, Stroop Word, Stroop Color, Stroop Interference, and composite UHDRS. Unconditional curves were sufficient for the Total Motor Score. TFC was unique in that the curve was constant over age with its intercept at the maximum score (TFC = 13). For all measures, sex effects were minimal, so conditioning on sex was unwarranted.
Extreme quantile estimates for each measure can be considered as boundaries for natural aging and scores falling beyond these thresholds are likely the result of disease progression. Normative curves and tables are developed and can serve as references for clinical characterization in HD.
亨廷顿病(HD)基因扩展携带者的疾病进展已有深入研究。然而,在评估 HD 进展时,通常不考虑自然衰老的影响。
研究健康对照者的自然衰老效应,并根据符号数字模态测验、Stroop 文字阅读测验、Stroop 颜色命名测验、Stroop 干扰测验、总运动评分和统一亨廷顿病评定量表(UHDRS)的总功能能力(TFC)以及综合评分的观察得分分布,按年龄、性别和教育程度制定正常曲线。
在合并 REGISTRY 和 Enroll-HD 的纵向数据后,我们使用分位数回归和自然三次样条对年龄进行拟合,以建立健康对照组(N=3394;N 观察值=8619)的模型。估计了 0.05、0.25、0.50、0.75 和 0.95 分位数的正常曲线。考虑了两种类型的参考曲线:无条件曲线仅依赖于年龄,而条件曲线依赖于年龄和其他协变量,即性别和教育程度。
对于符号数字、Stroop 文字、Stroop 颜色、Stroop 干扰和 UHDRS 综合评分,条件教育是必要的。对于总运动评分,无条件曲线就足够了。TFC 是独特的,其曲线随着年龄的增加而保持不变,其截距在最高得分(TFC=13)处。对于所有测量,性别影响很小,因此无需对性别进行条件化。
可以将每种测量的极端分位数估计值视为自然衰老的界限,超出这些阈值的分数可能是疾病进展的结果。制定了正常曲线和表格,可以作为 HD 临床特征描述的参考。