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使用仪器辅助自我进食活动评估弗里德赖希共济失调的疾病进展

Assessment of Disease Progression in Friedreich Ataxia using an Instrumented Self Feeding Activity.

作者信息

Nguyen Khoa D, Corben Louise A, Pathirana Pubudu N, Horne Malcolm K, Delatycki Martin B, Szmulewicz David J

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:3827-3830. doi: 10.1109/EMBC44109.2020.9175980.

Abstract

Friedreich ataxia (FRDA), the most common of the inherited ataxias, is a degenerative disease that progressively affects walking and other functions leading to significant impairment associated with a shortened lifespan. It is important to monitor the progression of ataxia over periods of time for clinical and therapeutic interventions. This study was aimed at investigating the use of our instrumented measurement scheme of utilizing a motion detecting spoon in a self-feeding activity to quantify the longitudinal effect of FRDA on upper limb function. Forty individuals diagnosed with FRDA (32.8±14.9 years old) were recruited in a 12-month longitudinal study consisting of equal number of males and females (20). A set of biomarkers was extracted from the temporal and texture analysis of the movement time series data that objectively detected subtle changes during follow-up testing. The results indicated that both analyses generated features that resembled clinical ratings. Although the diagnosis and severity related performances were readily observed by temporal features, the longitudinal progression was better captured by the textural features (p = 0.029). The estimation of severity by mean of random forest regression model and LASSO exhibited a high degree of parity with the standard clinical scale (rho = 0.73, p < 0.001).

摘要

弗里德赖希共济失调(FRDA)是最常见的遗传性共济失调,是一种退行性疾病,会逐渐影响行走和其他功能,导致严重损伤并缩短寿命。为了进行临床和治疗干预,在一段时间内监测共济失调的进展很重要。本研究旨在调查我们使用运动检测勺的仪器测量方案在自主进食活动中量化FRDA对上肢功能的纵向影响的用途。在一项为期12个月的纵向研究中招募了40名被诊断为FRDA的个体(年龄32.8±14.9岁),男女数量相等(各20名)。从运动时间序列数据的时间和纹理分析中提取了一组生物标志物,这些生物标志物在随访测试中客观地检测到了细微变化。结果表明,两种分析都产生了类似于临床评分的特征。虽然通过时间特征很容易观察到诊断和严重程度相关的表现,但纹理特征能更好地捕捉纵向进展(p = 0.029)。通过随机森林回归模型和套索回归法进行严重程度估计,与标准临床量表具有高度一致性(rho = 0.73,p < 0.001)。

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