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验证左束支传导阻滞患者中急性心肌梗死的诊断和分诊算法。

Validation of the diagnosis and triage algorithm for acute myocardial infarction in the setting of left bundle branch block.

机构信息

Department of Emergency Medicine, An Nan Hospital, China Medical University, Tainan, Taiwan.

Department of Family Medicine, Chi-Mei Medical Center, No.901, Zhonghua Rd., Yongkang Dist., Tainan City 710, Taiwan.

出版信息

Am J Emerg Med. 2020 Dec;38(12):2614-2619. doi: 10.1016/j.ajem.2020.03.024. Epub 2020 Mar 19.

Abstract

BACKGROUND

Detecting acute ST-segment elevation myocardial infarction (STEMI) in the setting of left bundle branch block (LBBB) remains a challenge to clinicians. Several diagnostic and triage algorithms have been proposed to accurately identify LBBB patients with an acute culprit vessel. We aimed to validate the algorithm proposed by Cai et al., which uses patients' hemodynamic status and the modified Sgarbossa electrocardiography criteria to guide reperfusion therapy.

METHODS

This retrospective study was performed with a chart review in emergency departments (EDs) of 2 medical centers, 2 regional hospitals, and 1 local hospital. From January 2010 to December 2014, 2432 consecutive patients were diagnosed as having STEMI in the ED, including 65 patients with LBBB (2.6%).

RESULTS

The patients with LBBB were older and more frequently presented with acute pulmonary edema (58.5% vs 22.1%, p < 0.001), cardiogenic shock (16.9% vs 6.3% p = 0.006), and VT/VF episodes (7.7% vs 2.2%, p = 0.034) and had a higher 30-day mortality rate (20.0% vs 10.4% p = 0.032) than those without LBBB. We then tested the algorithm proposed by Cai et al. and noted a sensitivity of 93.8% in identifying a culprit lesion.

CONCLUSIONS

The inconsistency of the guideline recommendations reflects the uncertainty of diagnostic and therapeutic strategies and the pressing need for tools to accurately identify the true acute myocardial infarction in patients presenting with chest pain and LBBB. The algorithm proposed by Cai et al. had good sensitivity and would allow emergency physicians to implement the timely treatment protocol for this high-risk population.

摘要

背景

在左束支传导阻滞(LBBB)的情况下检测急性 ST 段抬高型心肌梗死(STEMI)仍然是临床医生面临的挑战。已经提出了几种诊断和分诊算法,以准确识别急性罪犯血管的 LBBB 患者。我们旨在验证 Cai 等人提出的算法,该算法使用患者的血液动力学状态和改良的 Sgarbossa 心电图标准来指导再灌注治疗。

方法

这项回顾性研究在 2 家医疗中心、2 家地区医院和 1 家当地医院的急诊科进行了图表回顾。从 2010 年 1 月至 2014 年 12 月,2432 例连续患者在急诊科被诊断为 STEMI,其中 65 例(2.6%)患有 LBBB。

结果

LBBB 患者年龄较大,更常出现急性肺水肿(58.5% vs. 22.1%,p<0.001)、心源性休克(16.9% vs. 6.3%,p=0.006)和 VT/VF 发作(7.7% vs. 2.2%,p=0.034),30 天死亡率更高(20.0% vs. 10.4%,p=0.032)。然后,我们测试了 Cai 等人提出的算法,并注意到该算法识别罪犯病变的敏感性为 93.8%。

结论

指南推荐意见的不一致反映了诊断和治疗策略的不确定性,迫切需要工具来准确识别胸痛和 LBBB 患者的真正急性心肌梗死。Cai 等人提出的算法具有良好的敏感性,可以使急诊医师为这一高危人群实施及时的治疗方案。

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