首页> 外文期刊>British Journal of Radiology >Red flags in patients presenting with headache: clinical indications for neuroimaging.
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Red flags in patients presenting with headache: clinical indications for neuroimaging.

机译:头痛患者中的红旗:神经影像学的临床指征。

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摘要

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 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).
机译:头痛是一种非常常见的患者主诉,但头痛的次要原因并不常见。在这组中,神经成像既昂贵又收率低。大多数颅内病理患者的临床特征会引起“危险信号”。适当选择头痛患者进行神经影像学检查以寻找继发原因非常重要。危险标志物充当筛查工具,以帮助识别那些表现出头痛的患者,这些患者将从及时的神经影像检查中受益,并可能提高产率。这项研究的目的是使用神经影像技术作为颅内病理筛查工具来评估头痛患者的临床特征。定义了20个红旗。回顾性研究了111例患者,结果分为阳性和阴性。 39例患者出现神经影像异常。使用Logistic回归模型分析结果。分析了红旗的敏感性和特异性,以建立预测神经影像异常的临界点,并绘制了接收器工作特征(ROC)曲线以显示诊断测试的敏感性。在单变量和多变量分析中,三个红旗特征均被证明具有统计学意义,p值小于0.05。这些是:瘫痪;乳头水肿;以及睡意,神志不清,记忆力减退和失去知觉,如果列表中出现三个或更多红色标记,则从ROC曲线的临界点(曲线下的区域= 0.76)开始,这强烈表明了神经影像异常。

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