Prabhakaran Shyam, Silver Adam J, Warrior Lakshmi, McClenathan Bethany, Lee Vivien H
Department of Neurological Sciences, Rush University Medical Center, Chicago, IL 60612, USA.
Cerebrovasc Dis. 2008;26(6):630-5. doi: 10.1159/000166839. Epub 2008 Nov 4.
To determine a pattern of symptoms and/or risk factors that distinguishes transient ischemic attack (TIA) from nonischemic causes of transient neurologic attacks (NI-TNA).
We reviewed demographic, clinical, and hospital data on 100 consecutive patients with transient focal neurologic episode(s) lasting less than 24 h and in whom the initial diagnosis was TIA. After inpatient evaluation and review, final diagnoses were made by two stroke neurologists. Using stepwise multivariable logistic regression, we estimated odds ratios (OR) for independent predictors of NI-TNA. p < 0.05 was considered significant.
Of the 100 patients, 40 were confirmed to have TIA and 60 NI-TNA. Compared to TIA patients, those with NI-TNA were less likely to be male and white but more likely to have a history of prior unexplained TNA, gradual symptom onset, associated nonspecific symptoms, longer symptom duration, and delayed presentation. Other variables were similar between the two groups. In a multivariable logistic regression model, gradual symptom onset (adjusted OR 6.7, p = 0.002), prior history of unexplained transient neurologic attack (adjusted OR 10.6, p = 0.031), and presence of nonspecific symptoms (adjusted OR 4.2, p = 0.008) were independent predictors of the final diagnosis of NI-TNA.
Distinguishing TIA from nonischemic causes is difficult in the emergency room, with 60% of suspected TIA patients having nonischemic causes on inpatient evaluation. We found 3 clinical features that may be useful in the emergency room triage of transient neurologic attacks. Further study is needed to develop tools that can accurately diagnose TIA.
确定可将短暂性脑缺血发作(TIA)与短暂性神经发作的非缺血性病因(NI-TNA)区分开来的症状模式和/或风险因素。
我们回顾了100例连续的短暂局灶性神经发作持续时间少于24小时且初始诊断为TIA的患者的人口统计学、临床和医院数据。经过住院评估和复查后,由两位中风神经科医生做出最终诊断。使用逐步多变量逻辑回归,我们估计了NI-TNA独立预测因素的比值比(OR)。p<0.05被认为具有统计学意义。
100例患者中,40例确诊为TIA,60例为NI-TNA。与TIA患者相比,NI-TNA患者男性和白人的可能性较小,但更有可能有既往不明原因TNA病史、症状逐渐发作、伴有非特异性症状、症状持续时间更长以及就诊延迟。两组之间的其他变量相似。在多变量逻辑回归模型中,症状逐渐发作(调整后的OR为6.7,p = 0.002)、既往不明原因短暂性神经发作病史(调整后的OR为10.6,p = 0.031)以及存在非特异性症状(调整后的OR为4.2,p = 0.008)是NI-TNA最终诊断的独立预测因素。
在急诊室区分TIA与非缺血性病因很困难,60%的疑似TIA患者在住院评估时有非缺血性病因。我们发现了3种可能有助于急诊室对短暂性神经发作进行分诊的临床特征。需要进一步研究以开发能够准确诊断TIA的工具。