Prediction of Intracerebral Haemorrhage Expansion with Clinical, Laboratory, Pharmacologic, and Noncontrast Radiographic Variables

医学 血肿 优势比 脑出血 放射科 计算机断层血管造影 中线偏移 冲程(发动机) 血管造影 死亡率 逻辑回归 接收机工作特性 外科 格拉斯哥昏迷指数 内科学 机械工程 工程类
作者
Sheila L. Chan,Carol Conell,Kaivalya T. Veerina,V. Rao,Alexander C. Flint
出处
期刊:International Journal of Stroke [SAGE]
卷期号:10 (7): 1057-1061 被引量:26
标识
DOI:10.1111/ijs.12507
摘要

Background 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. Methods 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. Results 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). Conclusion 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.

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