Tuhrim S, Horowitz D R, Sacher M, Godbold J H
Department of Neurology, Mount Sinai School of Medicine, New York, NY 10029-6574, USA.
Crit Care Med. 1995 May;23(5):950-4. doi: 10.1097/00003246-199505000-00026.
To compare the performance of two previously reported logistic regression models using data independent from those data used to derive the models.
Prospective.
Acute stroke unit of a tertiary care hospital.
One hundred twenty-nine patients with supratentorial intracerebral hemorrhage.
Model 1 contains the initial Glasgow Coma Scale score, hemorrhage size, and pulse pressure. The more complex model 2 includes, in addition to those three variables, the presence or absence of intraventricular hemorrhage and a term representing the interaction of intraventricular hemorrhage and Glasgow Coma Scale score. The areas under the receiver operating characteristic curves generated for each model were statistically indistinguishable.
Model 1 predicts 30-day patient status as well as the more complex model 2. Model 1 provides a valid, easy-to-use means of categorizing supratentorial intracerebral hemorrhage patients in terms of their probability of survival.
使用与之前用于推导模型的数据无关的数据，比较两个先前报告的逻辑回归模型的性能。
前瞻性研究。
一家三级护理医院的急性卒中单元。
129例幕上脑出血患者。
模型1包含初始格拉斯哥昏迷量表评分、出血量和脉压。更复杂的模型2除了这三个变量外，还包括是否存在脑室内出血以及一个代表脑室内出血与格拉斯哥昏迷量表评分相互作用的项。为每个模型生成的受试者工作特征曲线下面积在统计学上无显著差异。
模型1预测30天患者状态的能力与更复杂的模型2相当。模型1为根据幕上脑出血患者的生存概率对其进行分类提供了一种有效且易于使用的方法。
