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头痛患者的警示信号:神经影像学检查的临床指征

Red flags in patients presenting with headache: clinical indications for neuroimaging.

作者信息

M Sobri, Lamont A C, Alias N A, Win M N

机构信息

Department of Radiology, University Putra Malaysia-Hospital Kuala Lumpur, Malaysia.

出版信息

Br J Radiol. 2003 Aug;76(908):532-5. doi: 10.1259/bjr/89012738.

Abstract

Headache is a very common patient complaint but secondary causes for headache are unusual. Neuroimaging is both expensive and has a low yield in this group. Most patients with intracranial pathology have clinical features that would raise a "red flag". Appropriate selection of patients with headache for neuroimaging to look for secondary causes is very important. Red flags act as screening tools to help in identifying those patients presenting with headache who would benefit from prompt neuroimaging, and may increase the yield. The aim of this study is to evaluate clinical features in patients with headache using neuroimaging as a screening tool for intracranial pathology. 20 red flags were defined. A retrospective study of 111 patients was performed and the outcomes were divided into positive and negative. Abnormal neuroimaging was present in 39 patients. Results were analysed using the Logistic Regression model. Sensitivity and specificity of red flags were analysed to establish the cut-off point to predict abnormal neuroimaging and a receiver operating characteristic (ROC) curve plotted to show the sensitivity of the diagnostic test. Three red flag features proved to be statistically significant with the p-value of less than 0.05 on both univariate and multivariate analysis. These were: paralysis; papilloedema; and "drowsiness, confusion, memory impairment and loss of consciousness". In addition, if three or more red flags from the list were present, this showed strong indication of abnormal neuroimaging, from cut-off point of ROC curve (area under the curve =0.76).

摘要

头痛是患者非常常见的主诉,但头痛的继发性病因并不常见。神经影像学检查既昂贵,在这类患者中的阳性率又低。大多数颅内病变患者具有会引起“警示信号”的临床特征。正确选择头痛患者进行神经影像学检查以寻找继发性病因非常重要。警示信号作为筛查工具,有助于识别那些头痛患者中能从及时的神经影像学检查中获益的患者,并可能提高阳性率。本研究的目的是使用神经影像学作为颅内病变的筛查工具,评估头痛患者的临床特征。定义了20个警示信号。对111例患者进行了回顾性研究,并将结果分为阳性和阴性。39例患者存在神经影像学异常。使用逻辑回归模型分析结果。分析警示信号的敏感性和特异性以确定预测神经影像学异常的临界点,并绘制受试者工作特征(ROC)曲线以显示诊断试验的敏感性。在单因素和多因素分析中,三个警示信号特征被证明具有统计学意义,p值均小于0.05。这些特征是:瘫痪;视乳头水肿;以及“嗜睡、意识模糊、记忆障碍和意识丧失”。此外,如果列表中出现三个或更多警示信号,则从ROC曲线的临界点(曲线下面积=0.76)来看,这表明强烈提示神经影像学异常。

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