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The six minute walk test accurately estimates mean peak oxygen uptake

机译:六分钟步行测试可准确估计平均摄氧量

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Background Both Peak Oxygen Uptake (peak VO2), from cardiopulmonary exercise testing (CPET) and the distance walked during a Six-Minute Walk Test (6 MWD) are used for following the natural history of various diseases, timing of procedures such as transplantation and for assessing the response to therapeutic interventions. However, their relationship has not been clearly defined. Methods We determined the ability of 6 MWD to predict peak VO2 using data points from 1,083 patients with diverse cardiopulmonary disorders. The patient data came from a study we performed and 10 separate studies where we were able to electronically convert published scattergrams to bivariate points. Using Linear Mixed Model analysis (LMM), we determined what effect factors such as disease entity and different inter-site testing protocols contributed to the magnitude of the standard error of estimate (SEE). Results The LMM analysis found that only 0.16 ml/kg/min or about 4% of the SEE was due to all of the inter-site testing differences. The major source of error is the inherent variability related to the two tests. Therefore, we were able to create a generalized equation that can be used to predict peak VO2 among patients with different diseases, who have undergone various exercise protocols, with minimal loss of accuracy. Although 6 MWD and peak VO2 are significantly correlated, the SEE is unacceptably large for clinical usefulness in an individual patient. For the data as a whole it is 3.82 ml/kg/min or 26.7% of mean peak VO2. Conversely, the SEE for predicting the mean peak VO2 from mean 6 MWD for the 11 study groups is only 1.1 ml/kg/min. Conclusions A generalized equation can be used to predict peak VO2 from 6 MWD. Unfortunately, like other prediction equations, it is of limited usefulness for individual patients. However, the generalized equation can be used to accurately estimate mean peak VO2 from mean 6 MWD, among groups of patients with diverse diseases without the need for cardiopulmonary exercise testing. The equation is:
机译:背景来自心肺运动测试(CPET)的峰值摄氧量(峰值VO2)和六分钟步行测试(6 MWD)期间的步行距离均用于追踪各种疾病的自然史,移植和手术的时间安排用于评估对治疗干预措施的反应。但是,它们之间的关系尚未明确定义。方法我们使用1,083名患有各种心肺疾病的患者的数据点,确定了6 MWD预测VO2峰值的能力。患者数据来自我们进行的一项研究和10项单独的研究,其中我们能够将发布的散点图电子转换为双变量点。使用线性混合模型分析(LMM),我们确定了哪些影响因素(例如疾病实体和不同的站点间测试协议)对估计的标准误差(SEE)的大小做出了贡献。结果LMM分析发现,只有0.16 ml / kg / min或大约4%的SEE是由于所有站点间测试差异引起的。误差的主要来源是与这两个测试有关的固有可变性。因此,我们能够创建一个通用方程,该方程可用于预测经历了各种锻炼方案的不同疾病患者之间的VO2峰值,而准确性损失最小。尽管6 MWD与VO2峰值显着相关,但SEE对于单个患者的临床实用性来说还是太大了。整体数据为3.82 ml / kg / min或平均峰值VO2的26.7%。相反,用于11个研究组的平均6 MWD预测平均VO2峰值的SEE仅为1.1 ml / kg / min。结论可以使用广义方程来预测6 MWD的峰值VO2。不幸的是,像其他预测方程式一样,它对单个患者的用处有限。然而,在没有心肺运动测试的情况下,具有多种疾病的患者组中的通用方程可用于根据平均6 MWD准确估计平均VO2峰值。等式是:

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