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即时试验中,医疗急救服务预测仪器辅助诊断和治疗急性冠脉综合征和 ST 段抬高型心肌梗死。

Emergency medical service predictive instrument-aided diagnosis and treatment of acute coronary syndromes and ST-segment elevation myocardial infarction in the IMMEDIATE trial.

机构信息

Center for Cardiovascular Health Services Research, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts 02111, USA.

出版信息

Prehosp Emerg Care. 2011 Apr-Jun;15(2):139-48. doi: 10.3109/10903127.2010.545478.

Abstract

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.

摘要

背景

对于急救医疗服务(EMS)来说,准确识别急性冠状动脉综合征(ACS)和 ST 段抬高型心肌梗死(STEMI)并立即进行治疗和转运是一个挑战。基于心电图的急性心脏缺血时间非敏感预测工具(ACI-TIPI)和溶栓预测工具(TPI)已被证明可以改善急诊科的诊断和治疗,但它们在社区中的使用情况,护理人员的使用情况研究较少。

目的

为了确定参与即时心肌代谢增强在急救护理中的评估和治疗(IMMEDIATE)试验的候选人,我们在院外心电图中实施了 EMS 使用 ACI-TIPI 和 TPI,并评估了其对护理人员现场识别 ACS 和 STEMI 的影响,作为一种改善紧急心脏护理的社区方法。

方法

研究市的救护车配备了带有 ACI-TIPI 和 TPI 软件的心电图机。使用前后准实验设计,在第 1 阶段,七个月内,护理人员获得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,以补充他们对 ACS 的识别;在第 2 阶段,11 个月内,护理人员被要求根据 ACI-TIPI 截定点 ACS 概率≥75%和/或 TPI 检测 STEMI 来识别 ACS。在第 3 阶段,在另外七个市使用了该截定点方法。通过盲法医生审查,对 100%的患者确诊 ACS、急性心肌梗死(AMI)和 STEMI。

结果

在第 1 阶段,护理人员识别出 107 名 ACS 患者;在第 2 阶段,识别出 104 名。在第 1 阶段,有 45.8%(49)的患者被确认为 ACS,在第 2 阶段增加到 76.0%(79)(p<0.001)。在 ACS 患者中,59.2%(29)有 AMI,第 1 阶段为 84.8%(67)有 AMI,第 2 阶段为 84.8%(67)(p<0.01),STEMI 分别为 40.8%(20)和 68.4%(54)(p<0.01)。在第 3 阶段,有 226 名护理人员识别为 ACS 的患者中,有 74.3%(168)得到了 ACS 的确认,其中 81.0%(136)患有 AMI,65.5%(110)患有 STEMI。在 ACS 患者中,接受经皮冠状动脉介入治疗(PCI)的比例在第 1 阶段为 30.6%(15),在第 2 阶段增加到 57.0%(45)(p<0.004)和第 3 阶段的 50.6%(85),STEMI 患者接受 PCI 的比例从 75.0%(15)上升到 83.3%(45)(p<0.4)和 82.7%(91)。

结论

在广泛的 EMS 系统中,使用带有 ACI-TIPI 和 TPI 决策支持的心电图,并使用 75%的 ACI-TIPI 截定点,可以提高护理人员对 ACS、AMI 和 STEMI 的诊断性能,并增加接受 PCI 的患者比例。

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