Sarma Satyam, Bucuti Hakiza, Chitnis Anurag, Klacman Alex, Dantu Ram
Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas; Texas Health Presbyterian Hospital, Dallas, Texas.
Department of Computer Science, University of North Texas, Denton, Texas.
Am J Cardiol. 2017 Jul 15;120(2):196-200. doi: 10.1016/j.amjcard.2017.04.007. Epub 2017 May 4.
Prompt administration of high-quality cardiopulmonary resuscitation (CPR) is a key determinant of survival from cardiac arrest. Strategies to improve CPR quality at point of care could improve resuscitation outcomes. We tested whether a low cost and scalable mobile phone- or smart watch-based solution could provide accurate measures of compression depth and rate during simulated CPR. Fifty health care providers (58% intensive care unit nurses) performed simulated CPR on a calibrated training manikin (Resusci Anne, Laerdal) while wearing both devices. Subjects received real-time audiovisual feedback from each device sequentially. Primary outcome was accuracy of compression depth and rate compared with the calibrated training manikin. Secondary outcome was improvement in CPR quality as defined by meeting both guideline-recommend compression depth (5 to 6 cm) and rate (100 to 120/minute). Compared with the training manikin, typical error for compression depth was <5 mm (smart phone 4.6 mm; 95% CI 4.1 to 5.3 mm; smart watch 4.3 mm; 95% CI 3.8 to 5.0 mm). Compression rates were similarly accurate (smart phone Pearson's R = 0.93; smart watch R = 0.97). There was no difference in improved CPR quality defined as the number of sessions meeting both guideline-recommended compression depth (50 to 60 mm) and rate (100 to 120 compressions/minute) with mobile device feedback (60% vs 50%; p = 0.3). Sessions that did not meet guideline recommendations failed primarily because of inadequate compression depth (46 ± 2 mm). In conclusion, a mobile device application-guided CPR can accurately track compression depth and rate during simulation in a practice environment in accordance with resuscitation guidelines.
及时进行高质量心肺复苏(CPR)是心脏骤停患者存活的关键决定因素。在现场护理时提高心肺复苏质量的策略可以改善复苏效果。我们测试了一种低成本且可扩展的基于手机或智能手表的解决方案能否在模拟心肺复苏过程中准确测量按压深度和速率。五十名医疗保健提供者(58%为重症监护病房护士)在佩戴这两种设备的同时,在一个校准过的训练人体模型(复苏安妮,Laerdal)上进行模拟心肺复苏。受试者依次从每个设备接收实时视听反馈。主要结果是与校准过的训练人体模型相比,按压深度和速率的准确性。次要结果是按照指南推荐的按压深度(5至6厘米)和速率(100至120次/分钟)均达标的情况下,心肺复苏质量的改善情况。与训练人体模型相比,按压深度的典型误差<5毫米(智能手机4.6毫米;95%置信区间4.1至5.3毫米;智能手表4.3毫米;95%置信区间3.8至5.0毫米)。按压速率同样准确(智能手机皮尔逊相关系数R = 0.93;智能手表R = 0.97)。在有移动设备反馈的情况下,按照指南推荐的按压深度(50至60毫米)和速率(100至120次按压/分钟)均达标的课程数量方面,心肺复苏质量的改善没有差异(60%对50%;p = 0.3)。未达到指南建议的课程主要是因为按压深度不足(46±2毫米)。总之,在实践环境中,移动设备应用程序指导的心肺复苏能够按照复苏指南在模拟过程中准确跟踪按压深度和速率。