Cross-validation of equations to predict whole-body sweat sodium concentration from regional measures during exercise

利用运动过程中区域测量值预测全身汗液钠浓度的方程进行交叉验证

阅读:2

Abstract

We have previously published equations to estimate whole-body (WB) sweat sodium concentration ([Na(+) ]) from regional (REG) measures; however, a cross-validation is needed to corroborate the applicability of these prediction equations between studies. The purpose of this study was to determine the validity of published equations in predicting WB sweat [Na(+) ] from REG measures when applied to a new data set. Forty-nine participants (34 men, 15 women; 75 ± 12 kg) cycled for 90 min while WB sweat [Na(+) ] was measured using the washdown technique. REG sweat [Na(+) ] was measured from seven regions using absorbent patches (3M Tegaderm + Pad). Published equations were applied to REG sweat [Na(+) ] to determine predicted WB sweat [Na(+) ]. Bland-Altman analysis of mean bias (raw and predicted minus measured) and 95% limits of agreement (LOA) were used to compare raw (uncorrected) REG sweat [Na(+) ] and predicted WB sweat [Na(+) ] to measured WB sweat [Na(+) ]. Mean bias (±95% LOA) between raw REG sweat [Na(+) ] and measured WB sweat [Na(+) ] was 10(±20), 0(±19), 9(±20), 22(±25), 23(±24), 0(±15), -4(±18) mmol/L for the dorsal forearm, ventral forearm, upper arm, chest, upper back, thigh, and calf, respectively. The mean bias (±95% LOA) between predicted WB sweat [Na(+) ] and measured WB sweat [Na(+) ] was 3(±14), 4(±12), 0(±14), 2(±17), -2(±16), 5(±13), 4(±15) mmol/L for the dorsal forearm, ventral forearm, upper arm, chest, upper back, thigh, and calf, respectively. Prediction equations improve the accuracy of estimating WB sweat [Na(+) ] from REG and are therefore recommended for use when determining individualized sweat electrolyte losses.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。