Jeng Jiann-Shing, Huang Sheng-Jean, Tang Sung-Chun, Yip Ping-Keung
Department of Neurology, National Taiwan University Hospital, Taipei , Taiwan.
J Neurol Sci. 2008 Jul 15;270(1-2):60-6. doi: 10.1016/j.jns.2008.01.015. Epub 2008 Mar 4.
Multivariate models have not been widely used to predict the outcome of acute stroke patients admitted to the intensive care unit (ICU). The purpose of this study was to determine potential measures observed in the first 12 h post-stroke that predict early mortality and functional outcomes in ICU-admitted stroke patients. Eight hundred and fifty acute stroke patients (ischemic stroke, 508; intracerebral hemorrhage, 342) were included in this analysis between November 2002 and December 2006. Measures of interest were obtained in the first 12 h after onset of stroke were analyzed for three types of outcome: 3-month mortality, 3-month mortality or institutional care, and poor functional outcomes at discharge. Poor functional outcomes were defined as a Barthel index <80 or a Rankin scale >2. Multivariate regression models were used to determine the predictive value of the observed measures. After 3 months, 17% of patients had died; 21% were alive but being cared for in institutional settings; and 62% were alive and living at home. Functional status at discharge indicated 16% of patients had died, poor function in 50%, and good function in 34% of patients. Initial stroke severity, measured by National Institute of Health Stroke Scale, and dependence on a ventilator predicts 3-month mortality and poor outcome in all stroke patients. In addition, old age, previous stroke, and total anterior circulatory infarct were associated with poor outcome in ischemic stroke patients; old age, low body mass index and the presence of intraventricular hemorrhage were associated with poor outcomes in intracerebral hemorrhage patients. In conclusion, early stroke mortality and outcome at discharge can be predicted in the first few hours following an acute stroke for moderate to severe ICU-admitted stroke patients.
多变量模型尚未广泛用于预测入住重症监护病房(ICU)的急性中风患者的预后。本研究的目的是确定中风后最初12小时内观察到的、可预测入住ICU的中风患者早期死亡率和功能结局的潜在指标。2002年11月至2006年12月期间,850例急性中风患者(缺血性中风508例;脑出血342例)纳入本分析。在中风发作后的最初12小时内获取相关指标,并针对三种结局类型进行分析:3个月死亡率、3个月死亡率或机构护理情况以及出院时功能结局不佳。功能结局不佳定义为Barthel指数<80或Rankin量表>2。采用多变量回归模型确定观察指标的预测价值。3个月后,17%的患者死亡;21%存活但在机构环境中接受护理;62%存活且在家中生活。出院时的功能状态显示,16%的患者死亡,50%功能不佳,34%功能良好。用美国国立卫生研究院卒中量表测量的初始中风严重程度以及对呼吸机的依赖可预测所有中风患者的3个月死亡率和不良结局。此外,高龄、既往中风史和完全前循环梗死与缺血性中风患者的不良结局相关;高龄、低体重指数和脑室内出血与脑出血患者的不良结局相关。总之,对于入住ICU的中重度急性中风患者,在急性中风后的最初几个小时内即可预测早期中风死亡率和出院结局。