与心脏病专家相比,使用基于智能手机的12导联心电图验证st段抬高型心肌梗死的解释-横断面研究,验证研究,单中心研究

S. Mahajan, Salil Garg, Richa Sharma, Yogendra Pratap Singh, N. Chandola, T. Bhatia, Basundhara Bansal
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引用次数: 0

摘要

背景:在st段抬高型心肌梗死(STEMI)患者中,快速诊断可导致最佳临床结果。最近的技术提供了一种可靠的方法,通过智能手机应用程序(app)获得ECG读数,该应用程序与提供标准ECG系统所有12个导联的附件一起工作。我们开发了一种名为“Spandan”的12导联智能手机心电图(ECG),以及一种用于准确评估胸痛患者是否存在STEMI的应用程序。本研究的目的是对stemi筛查患者进行临床观察研究,评价12导联金标准和Spandan 12导联心电图对stemi诊断的差异。方法:这项单中心研究于2022年4月至2022年11月在印度北阿坎德邦德拉敦的Shri Mahant Indresh医院(SMIH)进行。所有以胸痛、呼吸短促和既往心血管疾病病史在Dehradun SMIH心内科就诊的心电图室患者(n=278)均被纳入研究。结果:平均年龄(SD)为53.96±15.31岁。男性占75.17%。14.3%为STEMI患者,按照标准12导联解释,智能手机ECG将7.1%的参与者解释为STEMI,心脏病专家将近15.4%的参与者解释为STEMI。结论:本研究证实了智能手机ECG评估STEMI的潜力,以及进一步研究该技术以确定该新技术的诊断准确性、局限性和适当使用的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of interpretation of ST-elevation myocardial infarction using the smartphone based 12 lead electrocardiograms in comparison to the cardiologist-a cross sectional study, validation study, single-center study
Background: In patients experiencing an ST-elevation myocardial infarction (STEMI), rapid diagnosis leads to optimal clinical outcomes. Recent technology has provided access to a reliable means of obtaining an ECG reading through a smartphone application (app) that works with an attachment providing all 12-leads of a standard ECG system. We developed a 12-lead smartphone-based electrocardiogram (ECG) called “Spandan”, and an application to accurately assess the presence of STEMI in patients presenting with chest pain.  Objectives of study was to perform clinical observation studies on the patients screened for STEMIs and evaluate the variation in the diagnosis of STEMIs detected in both 12-lead gold standard and Spandan 12 lead ECG. Methods: This single-center study was carried out at Shri Mahant Indresh hospital (SMIH), Dehradun, Uttarakhand, India from April-2022 to November-2022. All patients (n=278) visiting the ECG room with symptoms of chest pain, shortness of breath and past history of cardiovascular disease at the department of cardiology of the SMIH, Dehradun were included in the study. Results: Mean age (SD) was 53.96±15.31 years. The male gender participants was 75.17%. 14.3% were STEMI patients as per the standard 12 lead interpretation, smartphone ECG interpreted 7.1% of the participants as STEMI and cardiologist interpreted nearly 15.4% of the participants of STEMI. Conclusions: This study confirmed the potential of a smartphone ECG for evaluation of STEMI and the feasibility of studying this technology further to define the diagnostic accuracy, limitations, and appropriate use of this new technology.
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