Sytkowski P A, D'Agostino R B, Belanger A J, Bettencourt K S, Stokes J
Med Care. 1984 Mar;22(3):202-15. doi: 10.1097/00005650-198403000-00003.
The authors developed a model that relates survival from myocardial infarction or cardiac arrest to four classes of interactive variables describing the rural community, the patient, Emergency Medical Service (EMS) system inputs, and EMS system process in caring for the suspected cardiac patient. Using data from 92 EMS systems in three geographically distinct and physically dissimilar regions, the authors found a consistent and significant relationship between the probability of patient survival and cardiac disease severity, age, sex, the presence of a life-threatening arrhythmia, health care resources available to the EMS system, citizen-initiated cardiopulmonary resuscitation, EMS response time, and the presence of a paramedic on the ambulance responding to the call. The model affords the opportunity to enumerate those factors with the greatest influence on cardiac survival within the community and to test expected increases in survival gained through incremental changes in these factors.
作者开发了一个模型,该模型将心肌梗死或心脏骤停后的生存率与四类交互变量相关联,这些变量描述了农村社区、患者、紧急医疗服务(EMS)系统投入以及EMS系统在护理疑似心脏病患者过程中的流程。作者使用来自三个地理上不同且物理特征各异地区的92个EMS系统的数据,发现患者生存率与心脏病严重程度、年龄、性别、危及生命的心律失常的存在、EMS系统可用的医疗资源、市民发起的心肺复苏、EMS响应时间以及响应呼叫的救护车上护理人员的存在之间存在一致且显著的关系。该模型提供了一个机会,可列举出对社区内心脏病生存率影响最大的那些因素,并测试通过这些因素的逐步变化所带来的预期生存率提高情况。