Prediction rules for estimating neurologic outcome following out-of-hospital cardiac arrest

被引:39
作者
Haukoos, JS
Lewis, RJ
Niemann, JT
机构
[1] Denver Hlth Med Ctr, Dept Emergency Med, Denver, CO 80204 USA
[2] Univ Colorado, Hlth Sci Ctr, Dept Prevent Med & Biometr, Denver, CO 80262 USA
[3] Harbor UCLA Med Ctr, Dept Emergency Med, Torrance, CA 90509 USA
[4] Harbor UCLA Med Ctr, Res & Educ Inst, Torrance, CA 90509 USA
[5] Univ Calif Los Angeles, David Geffen Sch Med, Los Angeles, CA USA
关键词
sudden cardiac deaths; neurologic dysfunction; out-of hospital CPR; outcome; algorithm;
D O I
10.1016/j.resuscitation.2004.04.014
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Background: No valid model has been developed to predict survival following out-of-hospital cardiac arrest. The purpose of this study was to develop a prediction model for meaningful survival following out-of-hospital cardiac arrest using variables available during resuscitation. Methods: This was a retrospective cohort study. Consecutive adult cardiac arrest patients were studied between 1994 and 2001. Variables included age, sex, race/ethnicity, arrest location, whether the arrest was witnessed, initial rhythm, whether CPR was performed, patient downtime. paramedic response time, survival to hospital discharge, and Glasgow Coma Score (GCS) at hospital discharge. Classification and Regression Tree analysis was used to develop decision rules to predict meaningful survival, as defined by the patient's discharge GCS. Results: Of the 754 patients. 16 (2%) survived with a GCS greater than or equal to 13, 15 (2%) survived with a GCS = 14, and 5 (0.7%) survived with a GCS = 15. The decision rule for survival with a GCS greater than or equal to 13 incorporated whether the arrest was witnessed and the patient's age, resulting in a negative predictive value (NPV) of 99.8%. The rule for survival with a GCS greater than or equal to 14 incorporated the initial arrest rhythm, whether the arrest was witnessed. and the patient's age, resulting in a NPV of 99.6%. The rule for survival with a GCS = 15 incorporated only the interval between collapse and the initiation of life support, resulting in a NPV of 99.8%. Conclusions: This study reports decision rules for potential meaningful survival following out-of-hospital cardiac arrest with high NPVs for each. Future studies need to be performed to prospectively validate these models. (C) 2004 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:145 / 155
页数:11
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