Awaji diagnostic algorithm increases sensitivity of El Escorial criteria for ALS diagnosis
Awaji diagnostic algorithm increases sensitivity of El Escorial criteria for ALS diagnosis
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DOI：
10.1080/17482960802521126
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发表时间：
2009-01-01
影响因子：
--
通讯作者：
Swash, Michael
中科院分区：
文献类型：
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作者：
De Carvalho, Mamede;Swash, Michael
我们已经测试了最近发表的方法，结合临床和肌电图数据的ALS的“研究诊断”的敏感性，在55个连续的患者临床诊断为ALS。将这种“淡路算法”应用于经修订的埃尔埃斯科里亚ALS诊断标准，对确诊ALS的诊断灵敏度为95%，而将埃尔埃斯科里亚临床标准和埃尔埃斯科里亚标准中定义的EMG标准应用于同一数据集时，诊断灵敏度分别为18%和53%。这种增加的敏感性与延髓发作患者（敏感性从38%提高到87%）和临床上可能患有埃尔埃斯科里亚ALS的患者（从50%提高到86%）特别相关。我们建议，在未来，研究者和试验者应使用淡路算法叠加到埃尔埃斯科里亚标准，在选择患者的研究。
We have tested the sensitivity of a recently published approach to combining clinical and EMG data in the 'research diagnosis' of ALS, in 55 consecutive patients clinically diagnosed with ALS. The application of this 'Awaji algorithm' to the revised El Escorial diagnostic criteria for diagnosis of ALS achieved a diagnostic sensitivity of 95% for definite ALS compared with 18% using the clinical El Escorial criteria and 53% when the EMG criteria as defined in the El Escorial criteria, were applied to the same dataset. This increased sensitivity was particularly relevant for bulbar onset patients (sensitivity improved from 38% to 87%) and for patients with El Escorial clinically possible ALS (from 50% to 86%). We suggest that, in future, investigators and triallists should use the Awaji algorithm superimposed onto the El Escorial criteria, in selecting patients for research studies.