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区分晕厥与癫痫发作的历史标准。

Historical criteria that distinguish syncope from seizures.

作者信息

Sheldon Robert, Rose Sarah, Ritchie Debbie, Connolly Stuart J, Koshman Mary-Lou, Lee Mary Anne, Frenneaux Michael, Fisher Michael, Murphy William

机构信息

Cardiovascular Research Group, University of Calgary, Calgary, Alberta, Canada.

出版信息

J Am Coll Cardiol. 2002 Jul 3;40(1):142-8. doi: 10.1016/s0735-1097(02)01940-x.

Abstract

OBJECTIVES

We prospectively sought evidence-based criteria that distinguished between seizures and syncope.

BACKGROUND

Loss of consciousness is usually due to either seizures or syncope. There are no evidence-based historical diagnostic criteria that distinguish them.

METHODS

A total of 671 patients with loss of consciousness completed a 118-item historical questionnaire. Data sets were complete for all subjects. The data set was randomly divided into two equal groups. The contributions of symptoms to diagnoses in one group were estimated with logistic regression and point scores were developed. The accuracy of the decision rule was then assessed using split-half analysis. Analyses were performed with and without inclusion of measures of symptom burden, which were the number of losses of consciousness and the duration of the history. The scores were tested using receiver-operator characteristic analysis.

RESULTS

The causes of loss of consciousness were known satisfactorily in 539 patients and included seizures (n = 102; complex partial epilepsy [50 patients] and primary generalized epilepsy [52 patients]) and syncope (n = 437; tilt-positive vasovagal syncope [267 patients], ventricular tachycardia [90 patients] and other diagnoses such as complete heart block and supraventricular tachycardias [80 patients]). The point score based on symptoms alone correctly classified 94% of patients, diagnosing seizures with 94% sensitivity and 94% specificity. Including symptom burden did not significantly improve accuracy, indicating that the symptoms surrounding the loss of consciousness accurately discriminate between seizures and syncope.

CONCLUSIONS

A simple point score of historical features distinguishes syncope from seizures with very high sensitivity and specificity.

摘要

目的

我们前瞻性地寻找区分癫痫发作和晕厥的循证标准。

背景

意识丧失通常由癫痫发作或晕厥引起。目前尚无循证的病史诊断标准来区分二者。

方法

共有671例意识丧失患者完成了一份包含118项内容的病史调查问卷。所有受试者的数据集均完整。数据集被随机分为两组。用逻辑回归估计一组中症状对诊断的贡献并制定积分。然后用对半分析评估决策规则的准确性。分析在纳入和未纳入症状负担指标(意识丧失次数和病史时长)的情况下进行。用受试者工作特征分析对积分进行检验。

结果

539例患者意识丧失的原因已明确,包括癫痫发作(n = 102;复杂部分性癫痫[50例患者]和原发性全身性癫痫[52例患者])和晕厥(n = 437;倾斜试验阳性的血管迷走性晕厥[267例患者]、室性心动过速[90例患者]以及其他诊断如完全性心脏传导阻滞和室上性心动过速[80例患者])。仅基于症状的积分正确分类了94%的患者,诊断癫痫发作的敏感性为94%,特异性为94%。纳入症状负担并未显著提高准确性,这表明意识丧失周围的症状能准确区分癫痫发作和晕厥。

结论

一个简单的病史特征积分能以非常高的敏感性和特异性区分晕厥和癫痫发作。

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