Cucchiara Brett, Tanne David, Levine Steven R, Demchuk Andrew M, Kasner Scott
Department of Neurology, University of Pennsylvania Medical Center, Philadelphia 19104, USA.
J Stroke Cerebrovasc Dis. 2008 Nov-Dec;17(6):331-3. doi: 10.1016/j.jstrokecerebrovasdis.2008.03.012.
Ability to predict risk of postthrombolysis intracerebral hemorrhage (ICH) is currently limited.
Using data from the Multicenter Recombinant Tissue Plasminogen Activator Stroke Survey Group, we developed a score to predict this risk. One point was assigned for the presence of each of 4 variables: age older than 60 years, baseline National Institutes of Health Stroke Scale score greater than 10, glucose greater than 8.325 mmol/L, and platelet count less than 150,000/mm(3).
Rate of any ICH increased with higher scores: 0 points, 2.6%; 1 point, 9.7%; 2 points, 15.1%; and greater than or equal to 3 points, 37.9%. The model had reasonable discriminatory capability (C-statistic 0.69). A similar pattern was seen with symptomatic and asymptomatic ICH separately, and with radiographically defined parenchymal hemorrhage.
A simple risk score may be useful for predicting postthrombolysis ICH.
目前，预测溶栓后脑出血（ICH）风险的能力有限。
利用多中心重组组织型纤溶酶原激活剂卒中调查小组的数据，我们制定了一个评分系统来预测这种风险。对于以下4个变量中的每一个变量，各赋予1分：年龄大于60岁、基线美国国立卫生研究院卒中量表评分大于10、血糖大于8.325 mmol/L以及血小板计数小于150,000/mm³。
任何脑出血的发生率随着评分升高而增加：0分，2.6%；1分，9.7%；2分，15.1%；大于或等于3分，37.9%。该模型具有合理的鉴别能力（C统计量为0.69）。有症状和无症状脑出血分别以及影像学定义的实质内出血均呈现类似模式。
一个简单的风险评分可能有助于预测溶栓后脑出血。
