Casillas Jean-Marie, Joussain Charles, Gremeaux Vincent, Hannequin Armelle, Rapin Amandine, Laurent Yves, Benaïm Charles
Plateforme d'Investigation Technologique CIC-P Inserm 803, University Hospital of Dijon, Dijon, France Inserm U1093, Dijon, France Cardiac Rehabilitation Department, University Hospital of Dijon, Dijon, France
Cardiac Rehabilitation Department, University Hospital of Dijon, Dijon, France.
Clin Rehabil. 2015 Feb;29(2):175-83. doi: 10.1177/0269215514540922. Epub 2014 Jul 3.
To develop a new predictive model of maximal heart rate based on two walking tests at different speeds (comfortable and brisk walking) as an alternative to a cardiopulmonary exercise test during cardiac rehabilitation.
Evaluation of a clinical assessment tool.
A Cardiac Rehabilitation Department in France.
A total of 148 patients (133 men), mean age of 59 ±9 years, at the end of an outpatient cardiac rehabilitation programme.
Patients successively performed a 6-minute walk test, a 200 m fast-walk test (200mFWT), and a cardiopulmonary exercise test, with measure of heart rate at the end of each test. An all-possible regression procedure was used to determine the best predictive regression models of maximal heart rate. The best model was compared with the Fox equation in term of predictive error of maximal heart rate using the paired t-test.
Results of the two walking tests correlated significantly with maximal heart rate determined during the cardiopulmonary exercise test, whereas anthropometric parameters and resting heart rate did not. The simplified predictive model with the most acceptable mean error was: maximal heart rate = 130 - 0.6 × age + 0.3 × HR200mFWT (R(2) = 0.24). This model was superior to the Fox formula (R(2) = 0.138). The relationship between training target heart rate calculated from measured reserve heart rate and that established using this predictive model was statistically significant (r = 0.528, p < 10(-6)).
A formula combining heart rate measured during a safe simple fast walk test and age is more efficient than an equation only including age to predict maximal heart rate and training target heart rate.
开发一种基于两种不同速度（舒适步行和轻快步行）步行测试的最大心率预测新模型，作为心脏康复期间心肺运动测试的替代方法。
对一种临床评估工具进行评估。
法国的一个心脏康复科。
148名患者（133名男性），门诊心脏康复项目结束时，平均年龄59±9岁。
患者依次进行6分钟步行测试、200米快速步行测试（200mFWT）和心肺运动测试，每次测试结束时测量心率。采用全可能回归程序确定最大心率的最佳预测回归模型。使用配对t检验，将最佳模型与福克斯方程在最大心率预测误差方面进行比较。
两次步行测试的结果与心肺运动测试期间确定的最大心率显著相关，而人体测量参数和静息心率则不然。平均误差最可接受的简化预测模型为：最大心率=130 - 0.6×年龄 + 0.3×200米快速步行测试心率（R² = 0.24）。该模型优于福克斯公式（R² = 0.138）。根据测量的储备心率计算的训练目标心率与使用该预测模型确定的训练目标心率之间的关系具有统计学意义（r = 0.528，p < 10⁻⁶）。
结合安全简单快速步行测试期间测量的心率和年龄的公式，在预测最大心率和训练目标心率方面比仅包含年龄的方程更有效。
