Peak Ventilation Reference Standards from Exercise Testing: From the FRIEND Registry

Peak Ventilation Reference Standards from Exercise Testing: From the FRIEND Registry
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DOI:
10.1249/mss.0000000000001740
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发表时间:
2018-12-01
期刊:
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子:
--
通讯作者:
Myers, Jonathan
Myers, Jonathan
中科院分区:
其他
文献类型:
--
作者:
Kaminsky, Leonard A.;Harber, Matthew P.;Myers, Jonathan

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目的:心肺功能运动试验(CPX)可提供有价值的临床信息,包括峰值通气量(V-Epeak),它已被证明在评估潜在肺部疾病患者中具有诊断和预后价值。本报告提供了V-Epeak的参考标准,来自CPX上的CPX在看起来健康的individuals.Methods九个实验室在美国经验丰富的CPX管理与既定的质量控制程序作出了贡献的健身注册表和运动的重要性国家数据库从2014年至2017年。来自5232名无心血管或肺部疾病的男性和女性的最大运动试验数据被用来创建20至79岁之间的男性和女性的V-Epeak的十年。结果V(Epeak)在不同年龄组和男性之间差异有统计学意义(P < 0.05)。男性和女性的V-Epeak下降率均为每十年8.0%。70%样本的逐步回归模型显示,性别、年龄和身高是V-Epeak的显著预测因素。用剩余30%样品的数据对方程进行交叉验证,最终方程由完整样品得出(r = 0.73)。此外,一个线性回归模型显示用力呼气量在1秒显着预测V-Epeak(r = 0.73)。结论参考标准的V-Epeak为美国人口。心肺功能运动试验实验室将能够根据这些年龄和性别特异性百分位数参考值提供V-Epeak的解释,或者可以使用这些包含性别、年龄和身高的非运动预测方程,或者使用1 s用力呼气量的单一预测因子。
Purpose Cardiopulmonary exercise testing (CPX) provides valuable clinical information, including peak ventilation (V-Epeak), which has been shown to have diagnostic and prognostic value in the assessment of patients with underlying pulmonary disease. This report provides reference standards for V-Epeak derived from CPX on treadmills in apparently healthy individuals.Methods Nine laboratories in the United States experienced in CPX administration with established quality control procedures contributed to the Fitness Registry and the Importance of Exercise National Database from 2014 to 2017. Data from 5232 maximal exercise tests from men and women without cardiovascular or pulmonary disease were used to create percentiles of V-Epeak for both men and women by decade between 20 and 79 yr. Additionally, prediction equations were developed for V-Epeak using descriptive information.ResultsV(Epeak) was found to be significantly different between men and women and across age groups (P < 0.05). The rate of decline in V-Epeak was 8.0% per decade for both men and women. A stepwise regression model of 70% of the sample revealed that sex, age, and height were significant predictors of V-Epeak. The equation was cross-validated with data from the remaining 30% of the sample with a final equation developed from the full sample (r = 0.73). Additionally, a linear regression model revealed forced expiratory volume in 1 s significantly predicted V-Epeak (r = 0.73).Conclusions Reference standards were developed for V-Epeak for the United States population. Cardiopulmonary exercise testing laboratories will be able to provide interpretation of V-Epeak from these age and sex-specific percentile reference values or alternatively can use these nonexercise prediction equations incorporating sex, age, and height or with a single predictor of forced expiratory volume in 1 s.