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运动时通过区域测量值对预测全身汗钠浓度的方程进行交叉验证。

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

机构信息

Gatorade Sports Science Institute, PepsiCo R&D Life Sciences, Barrington, IL, USA.

PepsiCo R&D, Barrington, IL, USA.

出版信息

Physiol Rep. 2020 Aug;8(15):e14524. doi: 10.14814/phy2.14524.

DOI:10.14814/phy2.14524
PMID:32748563
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7399373/
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.

摘要

我们之前已经发表了一些方程,可以根据区域(REG)测量值来估算全身(WB)汗钠浓度 ([Na ]);但是,需要进行交叉验证以证实这些预测方程在不同研究之间的适用性。本研究的目的是确定将已发表的方程应用于新数据集时,从 REG 测量值预测 WB 汗 [Na ]的有效性。49 名参与者(34 名男性,15 名女性;75±12kg)进行了 90 分钟的自行车运动,同时使用冲洗技术测量 WB 汗 [Na ]。使用吸收垫(3M Tegaderm+Pad)从七个区域测量 REG 汗 [Na ]。将已发表的方程应用于 REG 汗 [Na ]以确定预测的 WB 汗 [Na ]。使用平均偏差的 Bland-Altman 分析(原始和预测值减去实测值)和 95%一致性界限(LOA)来比较原始(未校正)REG 汗 [Na ]和预测的 WB 汗 [Na ]与实测的 WB 汗 [Na ]。原始 REG 汗 [Na ]与实测 WB 汗 [Na ]之间的平均偏差(±95%LOA)分别为 10(±20)、0(±19)、9(±20)、22(±25)、23(±24)、0(±15)、-4(±18)mmol/L,用于背侧前臂、掌侧前臂、上臂、胸部、上背部、大腿和小腿。预测的 WB 汗 [Na ]与实测的 WB 汗 [Na ]之间的平均偏差(±95%LOA)分别为 3(±14)、4(±12)、0(±14)、2(±17)、-2(±16)、5(±13)、4(±15)mmol/L,用于背侧前臂、掌侧前臂、上臂、胸部、上背部、大腿和小腿。预测方程提高了从 REG 估算 WB 汗 [Na ]的准确性,因此建议在确定个体汗液电解质损失时使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/53214a6a6243/PHY2-8-e14524-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/91e73000a267/PHY2-8-e14524-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/4bf4d376c1ec/PHY2-8-e14524-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/30e9add9b395/PHY2-8-e14524-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/53214a6a6243/PHY2-8-e14524-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/91e73000a267/PHY2-8-e14524-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/4bf4d376c1ec/PHY2-8-e14524-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/30e9add9b395/PHY2-8-e14524-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/830f/7399373/53214a6a6243/PHY2-8-e14524-g004.jpg

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