Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, Ohio.
Pacing Clin Electrophysiol. 2020 Jan;43(1):2-9. doi: 10.1111/pace.13831. Epub 2019 Dec 5.
Pacemaker battery depletion triggers alert for replacement notification and results in automatic reprogramming, which has been shown to be associated with relevant cardiorespiratory symptoms and adverse clinical events.
Determine if electrocardiogram (ECG) pacing features may be predictive of pacemaker battery depletion and clinical risk.
This is an ECG substudy of a cohort analysis of 298 subjects referred for pacemaker generator replacement from 2006 to 2017. Electronic medical record review was performed; clinical, ECG, and pacemaker characteristics were abstracted. We applied two ECG prediction rules for pacemaker battery depletion that are relevant to all major pacemaker manufacturers except Boston Scientific and MicroPort: (1) atrial pacing not at a multiple of 10 and (2) nonsynchronous ventricular pacing not at a multiple of 10, to determine diagnostic sensitivity, specificity, and risk in applicable ECG subjects.
We excluded 32 subjects not at replacement notification or duplicate surgeries. Overall, 176 of 266 subjects (66.2%) demonstrated atrial pacing or nonsynchronous ventricular pacing on preoperative ECG. When utilizing both rules, 139 of 176 preoperative ECGs and 12 of 163 postoperative ECGs met criteria for battery depletion yielding reasonable sensitivity (79.0%), high specificity (92.6%), and a positive likelihood ratio of 11.6:1. These rules were associated with significant increase in cardiorespiratory symptoms (P < .001) and adverse clinical events (P < .025).
The "Rules of Ten" provided reasonable sensitivity and specificity for detecting replacement notification in pacemaker subjects with an applicable ECG. This ECG tool may help clinicians identify most patients with pacemaker battery depletion at significant clinical risk.
起搏器电池电量耗尽会触发更换通知,并导致自动重新编程,这已被证明与相关的心肺症状和不良临床事件有关。
确定心电图 (ECG) 起搏特征是否可预测起搏器电池电量耗尽和临床风险。
这是对 2006 年至 2017 年间因起搏器发生器更换而就诊的 298 例患者队列分析的心电图子研究。进行了电子病历回顾;提取了临床、心电图和起搏器特征。我们应用了两种适用于除 Boston Scientific 和 MicroPort 以外的所有主要起搏器制造商的起搏器电池电量耗尽的心电图预测规则:(1) 非 10 的倍数的心房起搏和 (2) 非 10 的倍数的非同步心室起搏,以确定适用心电图患者的诊断敏感性、特异性和风险。
我们排除了 32 例未达到更换通知或重复手术的患者。总体而言,266 例患者中有 176 例(66.2%)在术前心电图上显示出心房起搏或非同步心室起搏。当同时使用这两个规则时,139 例术前心电图和 12 例术后心电图符合电池电量耗尽的标准,具有合理的敏感性(79.0%)、高特异性(92.6%)和阳性似然比为 11.6:1。这些规则与心肺症状(P <.001)和不良临床事件(P <.025)显著增加相关。
“十的规则”为检测具有适用心电图的起搏器患者的更换通知提供了合理的敏感性和特异性。这种心电图工具可以帮助临床医生识别大多数处于显著临床风险的起搏器电池电量耗尽患者。