Screening for Cluster Headache—Introduction of the SMARTED Scale

Heiko Pohl, Marco Joos, M. Neumeier, Miranda Stattmann, A. Gantenbein, S. Wegener
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Abstract

Patients with cluster headache often report a long diagnostic delay. This study creates and validates a screening test that could help speed up the diagnostic process. We invited patients to enrol in this diagnostic case–control study if a trigeminal autonomic headache had been suspected or confirmed. Patients in whom the diagnosis of a cluster headache was not made were controls. First, all participants answered 22 diagnostic questions with “yes” or “no”. Next, we eliminated questions that did not distinguish well between the groups. Then, the variables entered a regression model with the headache diagnosis as the dependent variable. Finally, we combined the remaining variables into a diagnostic scale and tested its accuracy. Seventy-four patients participated, 45 of whom suffered from a cluster headache. The analyses identified five questions distinguishing cluster headache patients and controls. These addressed smoking, being awakened by the pain, restlessness during the attack, unilateral tearing, and duration of the attack (hence, the “SMARTED” scale). The area under the ROC curve was 0.938; sensitivity and specificity, the positive and negative predictive values were 98%, 65%, 81% and 94%, respectively. The SMARTED scale validly and accurately screens for cluster headache in patients suspected of a trigeminal autonomic headache.
丛集性头痛的筛选——SMARTED量表的介绍
丛集性头痛患者通常报告诊断延误很长时间。本研究创建并验证了一种有助于加快诊断过程的筛选测试。我们邀请疑似或确诊三叉神经性头痛的患者参加这项诊断性病例对照研究。未诊断为丛集性头痛的患者为对照组。首先,所有参与者用“是”或“否”回答22个诊断性问题。接下来,我们排除了那些不能很好地区分各组的问题。然后以头痛诊断率为因变量,进入回归模型。最后,我们将剩余的变量组合成一个诊断量表,并测试其准确性。74名患者参与其中,其中45人患有丛集性头痛。分析确定了区分丛集性头痛患者和对照组的五个问题。这些量表包括吸烟、被疼痛唤醒、发作时的不安、单侧撕裂和发作的持续时间(因此称为“SMARTED”量表)。ROC曲线下面积为0.938;敏感性为98%,特异性为65%,阳性预测值为81%,阴性预测值为94%。SMARTED量表有效和准确地筛选丛集性头痛患者怀疑三叉神经性头痛。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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