Hollý Petr, Hubená Tereza, Čihák Martin, Pavlíková Aneta, Kemlink David, Ulmanová Olga, Rusz Jan, Jech Robert, Krupička Radim, Růžička Evžen
Department of Neurology and Center of Clinical Neuroscience, Charles University, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic.
Department of Biomedical Informatics, Faculty of Biomedical Engineering, Czech Technical University in Prague, Kladno, Czech Republic.
Mov Disord Clin Pract. 2024 Dec;11(12):1582-1586. doi: 10.1002/mdc3.14160. Epub 2024 Jul 11.
Although performance rating scales, spiral drawing, water pouring, and accelerometry are commonly used to assess tremor severity, the extent to which their results correlate with impairment in activities of daily living (ADL) remains unclear.
The aim was to identify the most effective predictors of ADL in essential tremor (ET).
Forty ET patients were examined using The Essential Tremor Rating Assessment Scale (TETRAS), spiral drawing, volume of water spilled, and accelerometric tremor power. Root-mean-square error, R, and F-test were calculated for models predicting TETRAS ADL subscore.
TETRAS Performance Subscale explained the variability in TETRAS ADL with an R value of 0.686. Models incorporating spiral rating and accelerometric tremor power (R = 0.731) and water spillage volume (R = 0.756) were not statistically superior.
TETRAS performance subscore predicted nearly 70% ADL impairment in ET patients. Incorporating the spiral rating, accelerometric tremor power, and water pouring test did not enhance ADL estimation.
尽管性能评定量表、螺旋线绘制、倒水试验和加速度测量法常用于评估震颤严重程度,但其结果与日常生活活动(ADL)受损程度的相关程度仍不明确。
旨在确定特发性震颤(ET)中ADL的最有效预测指标。
使用特发性震颤评定评估量表(TETRAS)、螺旋线绘制、洒出的水量和加速度震颤功率对40例ET患者进行检查。计算预测TETRAS ADL子评分的模型的均方根误差、R值和F检验。
TETRAS性能子量表解释了TETRAS ADL中的变异性,R值为0.686。纳入螺旋线评分和加速度震颤功率(R = 0.731)以及洒出水量(R = 0.756)的模型在统计学上并无优势。
TETRAS性能子评分可预测ET患者近70%的ADL受损情况。纳入螺旋线评分、加速度震颤功率和倒水试验并不能增强对ADL的估计。