Coffey Christanne, Serra John, Goebel Mat, Espinoza Sarah, Castillo Edward, Dunford James
University of California San Diego Health System, San Diego, California.
University of California San Diego Health System, San Diego, California; San Diego Fire - Rescue Department, San Diego, California.
J Emerg Med. 2018 Jul;55(1):71-77. doi: 10.1016/j.jemermed.2018.04.007. Epub 2018 May 3.
A significant increase in false positive ST-elevation myocardial infarction (STEMI) electrocardiogram interpretations was noted after replacement of all of the City of San Diego's 110 monitor-defibrillator units with a new brand. These concerns were brought to the manufacturer and a revised interpretive algorithm was implemented.
This study evaluated the effects of a revised interpretation algorithm to identify STEMI when used by San Diego paramedics.
Data were reviewed 6 months before and 6 months after the introduction of a revised interpretation algorithm. True-positive and false-positive interpretations were identified. Factors contributing to an incorrect interpretation were assessed and patient demographics were collected.
A total of 372 (234 preimplementation, 138 postimplementation) cases met inclusion criteria. There was a significant reduction in false positive STEMI (150 preimplementation, 40 postimplementation; p < 0.001) after implementation. The most common factors resulting in false positive before implementation were right bundle branch block, left bundle branch block, and atrial fibrillation. The new algorithm corrected for these misinterpretations with most postimplementation false positives attributed to benign early repolarization and poor data quality. Subsequent follow-up at 10 months showed maintenance of the observed reduction in false positives.
This study shows that introducing a revised 12-lead interpretive algorithm resulted in a significant reduction in the number of false positive STEMI electrocardiogram interpretations in a large urban emergency medical services system. Rigorous testing and standardization of new interpretative software is recommended before introduction into a clinical setting to prevent issues resulting from inappropriate cardiac catheterization laboratory activations.
在圣地亚哥市所有110个监护除颤仪单元更换为新品牌后,发现ST段抬高型心肌梗死(STEMI)心电图解读的假阳性显著增加。这些问题反馈给了制造商,并实施了修订后的解读算法。
本研究评估圣地亚哥护理人员使用修订后的解读算法识别STEMI的效果。
回顾引入修订解读算法前6个月和后6个月的数据。确定真阳性和假阳性解读。评估导致解读错误的因素并收集患者人口统计学信息。
共有372例(实施前234例,实施后138例)符合纳入标准。实施后STEMI假阳性显著减少(实施前150例,实施后40例;p<0.001)。实施前导致假阳性的最常见因素是右束支传导阻滞、左束支传导阻滞和心房颤动。新算法纠正了这些错误解读,实施后大多数假阳性归因于良性早期复极和数据质量差。10个月后的后续随访显示,观察到的假阳性减少得以维持。
本研究表明,在大型城市紧急医疗服务系统中引入修订后的12导联解读算法可显著减少STEMI心电图解读的假阳性数量。建议在引入临床环境之前,对新的解读软件进行严格测试和标准化,以防止因不适当激活心脏导管实验室而产生的问题。