Cabrera Marco E, Portzline Gerry, Aach Susan, Condie Cathy, Dorostkar Parvin, Mianulli Marcus
Pacing Clin Electrophysiol. 2002 Jun;25(6):907-14. doi: 10.1046/j.1460-9592.2002.00907.x.
Since children have different activity patterns and exercise responses, uncertainty exists as to whether minute ventilation (MV) sensors designed for adults provide adequate chronotropic response in pediatrics. In particular, high respiratory rates (RR > 48 breaths/min), which are characteristic of the ventilatory response to exercise in children, cannot be sensed by MV rate responsive pacemakers. The purpose of this study was to evaluate the MV sensor rate response of the Medtronic Kappa 400 using exercise data from healthy children in a computer simulation of its rate response algorithm. Thirty-eight healthy children, ages 6-14, underwent a treadmill maximal exercise test. Subjects were divided based on body surface area (BSA) and MV rate response parameters were selected. Respiratory rates and tidal volumes were entered into the Kappa 400 rate response algorithm to calculate sensor-driven rates. Intrinsic heart rate (HR), oxygen uptake, and sensor-driven rates were normalized to HR reserve (HRR), metabolic reserve (MR), and sensor-driven reserve to compare across groups. Linear regression analysis among sensor-driven rate reserve, HRR, and MR was performed as described by Wilkoff. The mean slopes (+/- SD) of the relationships between the sensor-driven rate reserve and HRR were 1.06 +/- 0.34, 1.07 +/- 0.28, and 1.01 +/- 0.19 for children with BSA < 1.10 m2, 1.10 < BSA < 1.40 m2, and BSA > 1.40 m2, respectively. High correlations were found between sensor-drive rates and HR responses and between sensor-drive rates and MV throughout exercise. No significant differences were noted between sensor-drive rates and HR using the Wilkoff model. From this study the authors conclude that: (1) MV is a good physiological parameter to control heart rate and (2) simulated sensor-driven rates closely match intrinsic HRs during exercise in healthy children, which supports the appropriateness of clinical validation in pediatric pacemaker patients.
由于儿童具有不同的活动模式和运动反应,因此专为成人设计的分钟通气量(MV)传感器在儿科中能否提供足够的变时性反应尚不确定。特别是,儿童运动通气反应的特征是高呼吸频率(RR>48次/分钟),MV频率响应起搏器无法感知。本研究的目的是在计算机模拟其频率响应算法时,使用健康儿童的运动数据评估美敦力Kappa 400的MV传感器频率响应。38名6至14岁的健康儿童进行了跑步机最大运动测试。根据体表面积(BSA)对受试者进行分组,并选择MV频率响应参数。将呼吸频率和潮气量输入Kappa 400频率响应算法,以计算传感器驱动的频率。将固有心率(HR)、摄氧量和传感器驱动的频率归一化为心率储备(HRR)、代谢储备(MR)和传感器驱动储备,以便在各组之间进行比较。按照Wilkoff的描述,对传感器驱动频率储备、HRR和MR进行线性回归分析。对于BSA<1.10 m2、1.10<BSA<1.40 m2和BSA>1.40 m2的儿童,传感器驱动频率储备与HRR之间关系的平均斜率(+/-标准差)分别为1.06+/-0.34、1.07+/-0.28和1.01+/-0.19。在整个运动过程中,传感器驱动频率与HR反应之间以及传感器驱动频率与MV之间存在高度相关性。使用Wilkoff模型时,传感器驱动频率与HR之间未发现显著差异。作者从本研究中得出结论:(1)MV是控制心率的良好生理参数;(2)在健康儿童运动期间,模拟的传感器驱动频率与固有HR密切匹配,这支持了对儿科起搏器患者进行临床验证的合理性。