Cosentino Nicola, Zhang Xuan, Farrar Emily J, Yapici Halit O, Coffeng René, Vaananen Heikki, Beard John W
Monzino Cardiology Center, Milan, Italy.
Boston Strategic Partners Inc., Boston, Massachusetts.
Cardiovasc Digit Health J. 2024 Feb 12;5(2):70-77. doi: 10.1016/j.cvdhj.2024.02.002. eCollection 2024 Apr.
Patient monitoring devices are critical for alerting of potential cardiac arrhythmias during hospitalization; however, there are concerns of alarm fatigue due to high false alarm rates.
The purpose of this study was to evaluate the sensitivity and false alarm rate of hospital-based continuous electrocardiographic (ECG) monitoring technologies.
Six commonly used multiparameter bedside monitoring systems available in the United States were evaluated: B125M (GE HealthCare), ePM10 and iPM12 (Mindray), Efficia and IntelliVue (Philips), and Life Scope (Nihon Kohden). Sensitivity was tested using ECG recordings containing 57 true ventricular tachycardia (VT) events. False-positive rate testing used 205 patient-hours of ECG recordings containing no cardiac arrhythmias. Signals from ECG recordings were fed to devices simultaneously; high-severity arrhythmia alarms were tracked. Sensitivity to true VT events and false-positive rates were determined. Differences were assessed using Fisher exact tests (sensitivity) and -tests (false-positive rates).
B125M raised 56 total alarms for 57 annotated VT events and had the highest sensitivity (98%; <.05), followed by iPM12 (84%), Life Scope (81%), Efficia (79%), ePM10 (77%), and IntelliVue (75%). B125M raised 20 false alarms, which was significantly lower ( <.0001) than iPM12 (284), Life Scope (292), IntelliVue (304), ePM10 (324), and Efficia (493). The most common false alarm was VT, followed by nonsustained VT.
We found significant performance differences among multiparameter bedside ECG monitoring systems using previously collected recordings. B125M had the highest sensitivity in detecting true VT events and lowest false alarm rate. These results can assist in minimizing alarm fatigue and optimizing patient safety by careful selection of in-hospital continuous monitoring technology.
患者监测设备对于在住院期间警示潜在心律失常至关重要;然而,由于误报率高,人们担心会出现警报疲劳。
本研究旨在评估基于医院的连续心电图(ECG)监测技术的敏感性和误报率。
对美国现有的六种常用多参数床边监测系统进行了评估:B125M(通用电气医疗集团)、ePM10和iPM12(迈瑞)、Efficia和IntelliVue(飞利浦)以及Life Scope(日本光电)。使用包含57次真正室性心动过速(VT)事件的心电图记录测试敏感性。误报率测试使用了205个患者小时的无心律失常的心电图记录。来自心电图记录的信号同时输入到设备中;跟踪高严重性心律失常警报。确定对真正VT事件的敏感性和误报率。使用Fisher精确检验(敏感性)和t检验(误报率)评估差异。
B125M对57次标注的VT事件共发出56次警报,敏感性最高(98%;P<.05),其次是iPM12(84%)、Life Scope(81%)、Efficia(79%)、ePM10(77%)和IntelliVue(75%)。B125M发出20次误报,明显低于iPM12(284次)、Life Scope(292次)、IntelliVue(304次)、ePM10(324次)和Efficia(493次)(P<.0001)。最常见的误报是VT,其次是非持续性VT。
我们发现使用先前收集的记录时,多参数床边心电图监测系统之间存在显著的性能差异。B125M在检测真正VT事件时敏感性最高,误报率最低。这些结果有助于通过谨慎选择院内连续监测技术来尽量减少警报疲劳并优化患者安全。