Nguyen Stella Chiu, Suba Sukardi, Hu Xiao, Pelter Michele M
Stella Chiu Nguyen is a registered nurse in the radiology department at Stanford Healthcare, Palo Alto, California. At the time of writing this article, Ms Nguyen was a registered nurse in the emergency department and a Master's student at University of California San Francisco (UCSF) Health, San Francisco, California. Sukardi Suba is a doctoral student and an ECG monitoring predoctoral fellow in the Department of Physiological Nursing, UCSF School of Nursing. Xiao Hu is a biomedical engineer in the UCSF School of Nursing and the Institute for Computational Health Sciences, UCSF-UC Berkeley Graduate Program in Bioengineering, San Francisco. Michele M. Pelter is an assistant professor and the Director of the ECG Monitoring Research Lab, UCSF School of Nursing.
Crit Care Nurse. 2020 Apr 1;40(2):14-23. doi: 10.4037/ccn2020363.
Patients with both true and false arrhythmia alarms pose a challenge because true alarms might be buried among a large number of false alarms, leading to missed true events.
To determine (1) the frequency of patients with both true and false arrhythmia alarms; (2) patient, clinical, and electrocardiographic characteristics associated with both true and false alarms; and (3) the frequency and types of true and false arrhythmia alarms.
This was a secondary analysis using data from an alarm study conducted at a tertiary academic medical center.
Of 461 intensive care unit patients, 211 (46%) had no arrhythmia alarms, 12 (3%) had only true alarms, 167 (36%) had only false alarms, and 71 (15%) had both true and false alarms. Ventricular pacemaker, altered mental status, mechanical ventilation, and cardiac intensive care unit admission were present more often in patients with both true and false alarms than among other patients (P < .001). Intensive care unit stays were longer in patients with only false alarms (mean [SD], 106 [162] hours) and those with both true and false alarms (mean [SD], 208 [333] hours) than in other patients. Accelerated ventricular rhythm was the most common alarm type (37%).
An awareness of factors associated with arrhythmia alarms might aid in developing solutions to decrease alarm fatigue. To improve detection of true alarms, further research is needed to build and test electrocardiographic algorithms that adjust for clinical and electrocardiographic characteristics associated with false alarms.
既有真正的心律失常警报又有虚假警报的患者带来了挑战,因为真正的警报可能会被大量虚假警报所掩盖,导致错过真正的事件。
确定(1)既有真正的又有虚假的心律失常警报的患者频率;(2)与真正和虚假警报相关的患者、临床和心电图特征;(3)真正和虚假心律失常警报的频率和类型。
这是一项对在一家三级学术医疗中心进行的警报研究数据的二次分析。
在461名重症监护病房患者中,211名(46%)没有心律失常警报,12名(3%)只有真正的警报,167名(36%)只有虚假警报,71名(15%)既有真正的警报又有虚假警报。既有真正的又有虚假警报的患者比其他患者更常出现心室起搏器、精神状态改变、机械通气和入住心脏重症监护病房(P <.001)。只有虚假警报的患者(平均[标准差],106 [162]小时)和既有真正的又有虚假警报的患者(平均[标准差],208 [333]小时)的重症监护病房住院时间比其他患者更长。加速性心室节律是最常见的警报类型(37%)。
了解与心律失常警报相关的因素可能有助于开发减少警报疲劳的解决方案。为了提高对真正警报的检测,需要进一步研究来构建和测试针对与虚假警报相关的临床和心电图特征进行调整的心电图算法。