胸痛智能化平台的构建及在ST段抬高型心肌梗死患者中的应用

doi:10.3761/j.issn.2096-7446.2024.06.014

摘要/Abstract

摘要： 目的通过胸痛智能化平台的构建及应用,探讨其在急性ST段抬高型心肌梗死患者救治效率及临床预后的影响。方法由多学科成员组成胸痛智能化平台管理小组,将院前急救系统、医院电子病历系统、检验科信息系统、影像归档和通信系统融为一体,构建胸痛智能化平台并将其应用于急性ST段抬高型心肌梗死患者的救治与护理。选取2021年4月—2023年5月在深圳市某三级甲等医院急诊科就诊的急性ST段抬高型心肌梗死患者172例,以应用胸痛智能化平台前后分为对照组和试验组各86例,比较两组救治时间、效率及预后等指标的差异。结果应用胸痛智能化平台后,试验组发病至首次医疗接触时间、首次医疗接触至导丝通过时间、进医院大门至导丝通过时间、首次医疗接触至使用双联抗血小板治疗时间、入门至造影时间均显著低于对照组,差异具有统计学意义（均P<0.05）。试验组患者出院时的氨基末端B型脑钠肽前体水平显著低于对照组（P<0.05）,但两组出院时左心室射血分数差异无统计学意义（P=0.828）。结论应用胸痛智能化平台可缩短急性ST段抬高型心肌梗死患者救治各环节的时间,提高救治效率,改善患者预后。

关键词: 胸痛智能化平台, 心肌梗死, 救治效率, 经皮冠状动脉介入治疗, 急症护理

Abstract: Objective To construct and apply an intelligent platform for chest pain and explore the impact on the treatment efficiency and clinical prognosis of patients with acute ST-segment elevation myocardial infarction. Methods A multidisciplinary team was formed to manage the chest pain intelligent platform,integrating the pre-hospital emergency system,hospital electronic medical record system,laboratory information system,image archiving and communication system to construct the Chest Pain Intelligent Platform and apply it to the treatment and care of patients with acute ST-segment elevation myocardial infarction. We selected 172 patients with acute ST-segment elevation myocardial infarction who attended the emergency department of a tertiary hospital in Shenzhen from April 2021 to May 2023,and divided them into 86 cases in the control group and 86 cases in the experimental group before and after the application of the intelligent platform for chest pain,compared the differences in the treatment time,efficiency and prognosis of the two groups. Results After the application of the chest pain intelligent platform,the time from onset to first medical contact,the time from first medical contact to guidewire passage,the time from entering the hospital gate to guidewire passage,the time from first medical contact to the use of duplex antiplatelet therapy,and the time from entrance to imaging in the experimental group were all significantly lower than those in the control group（all P<0.05）. Amino-terminal B-type brain natriuretic peptide precursor level at discharge was significantly lower in the experimental group than in the control group（P<0.05）,but there was no difference in left ventricular ejection fraction at discharge between the two groups（P=0.828）. Conclusion The application of chest pain intelligent platform can shorten the time of various aspects of treatment for acute ST-segment elevation myocardial infarction patients,improve the efficiency of treatment,and improve the prognosis of patients.

Key words: Intelligent Platform, Myocardial Infarction, Treatment Efficiency, Percutaneous Coronary Intervention（PCI）, Emergency Nursing

谭薇, 刘薇, 汤东三, 谢小华, 皮玲丽, 齐楚怡, 王亚娟, 李玉萌, 成守珍. 胸痛智能化平台的构建及在ST段抬高型心肌梗死患者中的应用[J]. 中华急危重症护理杂志, 2024, 5(6): 557-561.

TAN Wei, LIU Wei, TANG Dongsan, XIE Xiaohua, PI Lingli, QI Chuyi, WANG Yajuan, LI Yumeng, CHENG Shouzhen. Construction of intelligent chest pain platform and application in patients with ST-segment elevation myocardial infarction[J]. Chinese Journal of Emergency and Critical Care Nursing, 2024, 5(6): 557-561.

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