Chan Sheila, Conell Carol, Veerina Kaivalya T, Rao Vivek A, Flint Alexander C
Department of Neuroscience, Kaiser Permanente, Redwood City, CA, USA.
Division of Research, Kaiser Permanente, Oakland, CA, USA.
Int J Stroke. 2015 Oct;10(7):1057-61. doi: 10.1111/ijs.12507. Epub 2015 Apr 28.
Hematoma expansion confers excess mortality in intracerebral haemorrhage, and is potentially preventable if at-risk patients can be identified. Contrast extravasation on initial computed tomographic angiography strongly predicts hematoma expansion but is not very sensitive, and most centers have not yet integrated computed tomographic angiography into acute intracerebral haemorrhage management. We therefore asked whether other presentation variables can predict hematoma expansion.
We searched the electronic medical records of a large integrated healthcare delivery system to identify patients with a hospitalization discharge diagnosis of intracerebral haemorrhage between the years 2008 and 2010. Hematoma expansion was defined as radiographic increase by 1/3 or by 12·5 ml within 48 h of presentation. Pre-specified patient demographic and clinical presentation variables were extracted. Stepwise multivariable logistic regression was performed to model hematoma expansion. Because some patients may have died from hematoma expansion without a second head computed tomography, we constructed a separate model including patients that died without a second head computed tomography in 48 h, hematoma expansion or death.
Ninety-one of 257 patients (35%) had hematoma expansion. Antithrombotic use (odds ratio = 1·9, P = 0·04) and initial mNIHSS (modified National Institutes of Health Stroke Scale; odds ratio = 1·06, P = 0·001) were significant predictors in the hematoma expansion model (area under the Receiver-Operator Characteristics curve, AUROC = 0·6712, pseudo-r(2) = 0·0641). 163 of 343 patients (48%) had hematoma expansion or death. Age (odds ratio = 1·02, P = 0·02), initial mNIHSS (odds ratio = 1·07, P < 0·001), and initial hematoma volume (odds ratio = 1·01, P = 0·03) were significant predictors of hematoma expansion or death (AUROC = 0·7579, pseudo-r(2) = 0·1722).
Clinical and noncontrast radiographic variables only weakly predict hematoma expansion. Examination of other indicators, such as computed tomographic angiography contrast extravasation (the 'spot sign'), may prove more valuable in acute intracerebral haemorrhage care.
血肿扩大可导致脑出血患者死亡率增加,若能识别出高危患者则有可能预防。初次计算机断层血管造影(CTA)上的造影剂外渗强烈提示血肿扩大,但敏感性不高,且大多数中心尚未将CTA纳入急性脑出血的治疗流程。因此,我们探讨了其他临床表现变量是否能预测血肿扩大。
我们检索了一个大型综合医疗服务系统的电子病历,以确定2008年至2010年间出院诊断为脑出血的患者。血肿扩大定义为发病后48小时内影像学上血肿增大1/3或12.5毫升。提取预先设定的患者人口统计学和临床表现变量。采用逐步多变量逻辑回归对血肿扩大进行建模。由于部分患者可能因血肿扩大死亡而未进行第二次头颅CT检查,我们构建了一个单独的模型,纳入在48小时内未进行第二次头颅CT检查、发生血肿扩大或死亡的患者。
257例患者中有91例(35%)发生血肿扩大。在血肿扩大模型中,使用抗栓药物(比值比=1.9,P=0.04)和初始美国国立卫生研究院卒中量表(NIHSS)评分(比值比=1.06,P=0.001)是显著的预测因素(受试者工作特征曲线下面积,AUROC=0.6712,伪r²=0.0641)。343例患者中有163例(48%)发生血肿扩大或死亡。年龄(比值比=1.02,P=0.02)、初始NIHSS评分(比值比=1.07,P<0.001)和初始血肿体积(比值比=1.01,P=0.03)是血肿扩大或死亡的显著预测因素(AUROC=0.7579,伪r²=0.1722)。
临床和非增强影像学变量对血肿扩大的预测能力较弱。在急性脑出血治疗中,检查其他指标,如CTA造影剂外渗(“斑点征”),可能更有价值。