摘要
目的通过统计学方法建立心肺复苏预后评分系统,用于院内急诊非创伤病人复苏预后的客观判断.方法选取病例323例,研究组(n=240)通过Logistic回归分析及回归OR值赋分的方法产生'复苏预后评分表',检验组(n=83)对评分表进行验证.结果 Logistic回归分析预测即时复苏失败的因素有年龄、心电图、停跳原因、基础病,对出院最有影响的变量是GCS.根据回归OR值得出的分值分别是:<50岁:1分,50～70岁:3分,>70岁:6分;室颤:1分,室速、心动过速:2分,无脉电活动:6分,缓慢型心律:3分;急性心肌梗死、恶性心律失常:1分,呼吸衰竭:1分,急性心力衰竭:3分,其他:4分;基础病:3分.检验组ROC曲线下面积0.867,检验敏感性71.8%,特异性83.3%.结论根据Logistic回归分析中各变量每个分类的OR值赋分,得出的复苏预后评分表对复苏结果具有良好的预测效能.
Objective To establish a Resuscitation Predictor Scoring System （PRSS） for non- trauma patients in emergency department by statistical analysis. Methods 323 patients were divided into two groups, the group 1 （ n = 240） derived a predictive models based on logistic regression, the group 2 （ n = 83） validated the models. Results Variables related to immediate survival were age, ECG, immediate causes of cardiac arrest, pre- existing disease conditions. GCS was the only predictor of discharge. The scores based on OR were： age 〈 50：1 point, 51 - 70：3 points, 〉 70：6 points; VF： 1 point, VT and tachycardia： 2 points, asystole： 6 points, bmdycardia： 3 points; AMI or arrhythmia： 1 point, respiratory insufficiency： 1 point, heart failure： 3 points, others： 4 points; underlying disease： 3 points. Area under ROC was 0.867, sensitivity was 71.8%, specificity was 83.3% ~ Conclusion The scoring system based on OR of Logistic regression can predict the result of CPR.
出处
《中国急救医学》
CAS
CSCD
北大核心
2005年第9期638-640,共3页
Chinese Journal of Critical Care Medicine
关键词
急诊
心肺复苏
预后因素
评分
Emergency
Cardiopulmonary resuseitation（CPR）
Prognostic factors
Scoring system
