【摘要】 目的制定简便易行的HAVE评分对非溶栓性脑梗死出血性转化(HT)预测研究。方法回顾性分析深圳市人民医院2008年~2010年间发病48 h内NIHSS评分≥5分的95例急性脑梗死患者,通过头部CT或MRI监测2 w内非溶栓治疗HT的发生,对HT危险因素进行综合分析,并对危险因素进行量化评分。结果模型(HAVE)中共纳入4个危险因素:3级高血压(Hypertension)、心房颤动(Atrial fibrillation)、梗死体积(Volume)及高龄(Elderly),总分共8分,其中评分大于等于4分即为出血性转化极高危人群,该评分对发生脑梗死出血性转化预测的灵敏度为0.73,特异度为0.84。结论 HAVE评分能够快速识别脑梗死出血性转化高危人群,具有良好的敏感性及特异性。更多还原

【Abstract】 Objective To formulate a simple and practical HAVE Model for Prediction on None- thrombolytic Hemorrhage Transformation. Methods Retrospective analysis on 95 patients within 48 hours after attack of acute cerebral infarction whose NIHSS scores were equal or greater than 5 between year of 2008 to 2010 in Shenzhen people’s hospital.Mornitoring the hemorrhage transformation with non thrombolytic treatment in 2 weeks through brain CT or MRI. Comprehensive analysis on hemorrhage transformation risk factors,and quantitative rating on them. Results HAVE Model included 4 risk factors,which were Hypertension of level three,Atrial fibrillation,Volume of infraction and Elderly. The total score was 8. The patients with score equal or greater than 4 were predicted to be extreme high risk of hemorrhage transformation.The sensitivity of this prediction model was 0. 73,while the specificity was 0. 84. Conclusion HAVE score can rapid identify the high risk patients of hemorrhage transformation with favorable sensitivity and specificity.更多还原