Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Muscle Nerve. 2012 Feb;45(2):175-82. doi: 10.1002/mus.22299.
The role of fasciculation potentials (FPs) in the diagnosis of amyotrophic lateral sclerosis (ALS) has been underrated. The Awaji algorithm has restored the value of FPs. Our aim was to test the diagnostic yield of the Awaji algorithm, with consideration of FPs.
Subjects consisted of 139 consecutive ALS patients retrospectively enrolled over 5 years. At presentation we evaluated the diagnostic categories using the revised El Escorial Criteria (R-EEC) and the Awaji algorithm.
The percentage of patients classified as confirmed ALS, clinically probable (laboratory-supported), or higher was 43% using the R-EEC and 37% using the Awaji algorithm. Thirteen patients with upper motor neuron signs only in one body region showed a decrease in their category using the Awaji algorithm. FPs were observed in 89% of ALS patients and were frequent in proximal muscles.
The sensitivity of the Awaji algorithm is lower than that of the R-EEC.
肌束震颤电位（FPs）在肌萎缩侧索硬化症（ALS）的诊断中的作用被低估了。Awaji 算法恢复了 FPs 的价值。我们的目的是在考虑 FPs 的情况下，测试 Awaji 算法的诊断效果。
本研究回顾性纳入了 5 年内的 139 例连续 ALS 患者。在就诊时，我们使用修订后的 El Escorial 标准（R-EEC）和 Awaji 算法评估诊断类别。
使用 R-EEC 时，将患者归类为确诊 ALS、临床可能（实验室支持）或更高类别的百分比为 43%，使用 Awaji 算法时为 37%。13 例仅在一个身体区域出现上运动神经元体征的患者，使用 Awaji 算法后其类别有所下降。89%的 ALS 患者出现 FPs，且常发生于近端肌肉。
Awaji 算法的敏感性低于 R-EEC。
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