Anic-Labat S, Guilleminault C, Kraemer H C, Meehan J, Arrigoni J, Mignot E
Stanford University, Center For Narcolepsy, Department of Psychiatry and Behavioral Sciences, CA 94305, USA.
Sleep. 1999 Feb 1;22(1):77-87.
Our goal was to validate a self-administered narcolepsy questionnaire focusing on cataplexy. Nine hundred and eight three consecutive subjects entering the Stanford Sleep Disorder Clinic completed the questionnaire. Clinic physicians reported on the presence or absence of "clear-cut" cataplexy. Responses to 51 cataplexy-related questionnaire items were compared between subjects with clear-cut cataplexy (n = 63) and all other patients (n = 920). As previously reported, a large portion of the non-narcoleptic population was found to experience muscle weakness with various intense emotions (1.8% to 18.0%) or athletic activities (26.2% to 28.8%). Factor analysis and Receiver Operating Characteristic Curve (ROC) analysis were used to determine the most predictive items for clear-cut cataplexy. Most strikingly, cataplexy was best differentiated from other types of muscle weakness when triggered by only three typical situations: "when hearing and telling a joke," "while laughing," or "when angry." Face or neck, rather than limbs, were also more specifically involved in clear-cut cataplexy. Other items, such as length of attacks, bilaterality, and alteration in consciousness, were poorly predictive. A simple decision tree was constructed to isolate high-(91.7%) and low-(0.6%) risk groups for cataplexy. This questionnaire will be used to increase diagnostic consistency across clinical centers, thus providing more homogenous subject pools for clinical and basic research studies.
我们的目标是验证一份以猝倒症为重点的发作性睡病自我管理问卷。983名连续进入斯坦福睡眠障碍诊所的受试者完成了该问卷。诊所医生报告了“明确”猝倒症的有无。比较了明确患有猝倒症的受试者(n = 63)和所有其他患者(n = 920)对51项与猝倒症相关问卷项目的回答。如先前报道,发现很大一部分非发作性睡病人群在经历各种强烈情绪(1.8%至18.0%)或体育活动(26.2%至28.8%)时会出现肌肉无力。采用因子分析和受试者工作特征曲线(ROC)分析来确定对明确猝倒症最具预测性的项目。最引人注目的是,只有在三种典型情况下引发时,猝倒症才能最好地与其他类型的肌肉无力区分开来:“听笑话和讲笑话时”、“大笑时”或“生气时”。明确的猝倒症更具体地涉及面部或颈部,而非四肢。其他项目,如发作持续时间、双侧性和意识改变,预测性较差。构建了一个简单的决策树来区分猝倒症的高风险组(91.7%)和低风险组(0.6%)。这份问卷将用于提高各临床中心的诊断一致性,从而为临床和基础研究提供更同质的受试者群体。