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首页> 外文期刊>Prehospital emergency care >Emergency medical service predictive instrument-aided diagnosis and treatment of acute coronary syndromes and ST-segment elevation myocardial infarction in the IMMEDIATE trial.
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Emergency medical service predictive instrument-aided diagnosis and treatment of acute coronary syndromes and ST-segment elevation myocardial infarction in the IMMEDIATE trial.

机译:IMMEDIATE试验中,紧急医疗服务预测仪器辅助诊断和治疗急性冠状动脉综合征和ST段抬高型心肌梗塞。

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BACKGROUND: A challenge for emergency medical service (EMS) is accurate identification of acute coronary syndromes (ACS) and ST-segment elevation myocardial infarction (STEMI) for immediate treatment and transport. The electrocardiograph-based acute cardiac ischemia time-insensitive predictive instrument (ACI-TIPI) and the thrombolytic predictive instrument (TPI) have been shown to improve diagnosis and treatment in emergency departments (EDs), but their use by paramedics in the community has been less studied. OBJECTIVE: To identify candidates for participation in the Immediate Myocardial Metabolic Enhancement During Initial Assessment and Treatment in Emergency Care (IMMEDIATE) Trial, we implemented EMS use of the ACI-TIPI and the TPI in out-of-hospital electrocardiographs and evaluated its impact on paramedic on-site identification of ACS and STEMI as a community-based approach to improving emergency cardiac care. METHODS: Ambulances in the study municipalities were outfitted with electrocardiographs with ACI-TIPI and TPI software. Using a before-after quasi-experimental design, in Phase 1, for seven months, paramedics were provided with the ACI-TIPI/TPI continuous 0-100% predictions automatically printed on electrocardiogram (ECG) text headers to supplement their identification of ACS; in Phase 2, for 11 months, paramedics were told to identify ACS based on an ACI-TIPI cutoff probability of ACS >/= 75% and/or TPI detection of STEMI. In Phase 3, this cutoff approach was used in seven additional municipalities. Confirmed diagnoses of ACS, acute myocardial infarction (AMI), and STEMI were made by blinded physician review for 100% of patients. RESULTS: In Phase 1, paramedics identified 107 patients as having ACS; in Phase 2, 104. In Phase 1, 45.8% (49) of patients so identified had ACS confirmed, which increased to 76.0% (79) in Phase 2 (p < 0.001). Of those with ACS, 59.2% (29) had AMI in Phase 1 versus 84.8% (67) with AMI in Phase 2 (p < 0.01), and STEMI was confirmed in 40.8% (20) versus 68.4% (54), respectively (p < 0.01). In Phase 3, of 226 patients identified by paramedics as having ACS, 74.3% (168) had ACS confirmed, of whom 81.0% (136) had AMI and 65.5% (110) had STEMI. Among patients with ACS, the proportion who received percutaneous coronary intervention (PCI) was 30.6% (15) in Phase 1, increasing to 57.0% (45) in Phase 2 (p < 0.004) and 50.6% (85) in Phase 3, and the proportions of patients with STEMI receiving PCI rose from 75.0% (15) to 83.3% (45) (p < 0.4) and 82.7% (91). CONCLUSIONS: In a wide range of EMS systems, use of electrocardiographs with ACI-TIPI and TPI decision support using a 75% ACI-TIPI cutoff improves paramedic diagnostic performance for ACS, AMI, and STEMI and increases the proportions of patients who receive PCI.
机译:背景:紧急医疗服务(EMS)的挑战是准确识别急性冠脉综合征(ACS)和ST段抬高型心肌梗塞(STEMI),以便立即进行治疗和运输。基于心电图的急性心肌缺血时间不敏感预测仪(ACI-TIPI)和溶栓预测仪(TPI)已显示可改善急诊科(ED)的诊断和治疗,但社区医护人员已将其使用少研究。目的:为确定参加紧急护理初始评估和治疗期间的即刻心肌代谢增强的候选人(IMMEDIATE),我们在院外心电图仪中对ACI-TIPI和TPI进行了EMS使用,并评估了其对心电图的影响ACS和STEMI的辅助医疗现场识别,是基于社区的改善紧急心脏护理的方法。方法:研究城市的救护车配备了带有ACI-TIPI和TPI软件的心电图仪。在阶段1之前,使用准实验设计之后的七个月,为护理人员提供了自动打印在心电图(ECG)文本标题上的ACI-TIPI / TPI连续0-100%预测,以补充对ACS的识别;在第2阶段的11个月中,医护人员被告知要根据ACS> / = 75%的ACI-TIPI截断概率和/或STEMI的TPI检测来识别ACS。在第3阶段中,另外7个城市使用了这种截止方法。盲法医师审查对100%的患者进行了ACS,急性心肌梗死(AMI)和STEMI的确诊。结果:在阶段1中,医护人员确定107例患有ACS的患者。在第2阶段中为104。在第1阶段中,如此确定的患者中确认有ACS的患者为45.8%(49),在第2阶段增加到76.0%(79)(p <0.001)。在患有ACS的患者中,第1阶段的AMI患者为59.2%(29),而第2阶段的AMI患者为84.8%(67)(p <0.01),证实为STEMI的患者分别为40.8%(20)和68.4%(54)。 (p <0.01)。在第3阶段中,由医护人员确认的226例ACS患者中,有74.3%(168)确诊为ACS,其中81.0%(136)为AMI和65.5%(110)为STEMI。在ACS患者中,第1阶段接受经皮冠状动脉介入治疗(PCI)的比例为30.6%(15),在第2阶段增加至57.0%(45)(p <0.004),在第3阶段达到50.6%(85), STEMI患者接受PCI的比例从75.0%(15)增至83.3%(45)(p <0.4)和82.7%(91)。结论:在广泛的EMS系统中,将心电图仪与ACI-TIPI和TPI决策支持配合使用(75%ACI-TIPI截止值)可改善ACS,AMI和STEMI的辅助医疗诊断性能,并增加接受PCI的患者比例。

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