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一种用于在常氧和低氧运动期间根据呼气末二氧化碳分压(PET CO2)估算温度校正后的动脉血二氧化碳分压(PaCO2)的新方程。

A new equation to estimate temperature-corrected PaCO2 from PET CO2 during exercise in normoxia and hypoxia.

作者信息

González Henríquez J J, Losa-Reyna J, Torres-Peralta R, Rådegran G, Koskolou M, Calbet J A L

机构信息

Department of Mathematics, University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain.

Research Institute of Biomedical and Health Sciences (IUIBS), University of Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Canary Islands, Spain.

出版信息

Scand J Med Sci Sports. 2016 Sep;26(9):1045-51. doi: 10.1111/sms.12545. Epub 2015 Aug 27.

Abstract

End-tidal PCO2 (PET CO2 ) has been used to estimate arterial pressure CO2 (Pa CO2 ). However, the influence of blood temperature on the Pa CO2 has not been taken into account. Moreover, there is no equation validated to predict Pa CO2 during exercise in severe acute hypoxia. To develop a new equation to predict temperature-corrected Pa CO2 values during exercise in normoxia and severe acute hypoxia, 11 volunteers (21.2 ± 2.1 years) performed incremental exercise to exhaustion in normoxia (Nox, PI O2 : 143 mmHg) and hypoxia (Hyp, PI O2 : 73 mmHg), while arterial blood gases and temperature (ABT) were simultaneously measured together with end-tidal PCO2 (PET CO2 ). The Jones et al. equation tended to underestimate the temperature corrected (tc) Pa CO2 during exercise in hypoxia, with greater deviation the lower the Pa CO2 tc (r = 0.39, P < 0.05). The new equation has been developed using a random-effects regression analysis model, which allows predicting Pa CO2 tc both in normoxia and hypoxia: Pa CO2 tc = 8.607 + 0.716 × PET CO2 [R(2)  = 0.91; intercept SE = 1.022 (P < 0.001) and slope SE = 0.027 (P < 0.001)]. This equation may prove useful in noninvasive studies of brain hemodynamics, where an accurate estimation of Pa CO2 is needed to calculate the end-tidal-to-arterial PCO2 difference, which can be used as an index of pulmonary gas exchange efficiency.

摘要

呼气末二氧化碳分压(PET CO2)已被用于估计动脉血二氧化碳分压(Pa CO2)。然而,体温对Pa CO2的影响尚未得到考虑。此外,尚无经过验证的方程可用于预测重度急性缺氧运动期间的Pa CO2。为了建立一个新的方程来预测常氧和重度急性缺氧运动期间经温度校正的Pa CO2值,11名志愿者(21.2±2.1岁)在常氧(Nox,吸入氧分压:143 mmHg)和缺氧(Hyp,吸入氧分压:73 mmHg)状态下进行递增运动直至力竭,同时同步测量动脉血气和体温(ABT)以及呼气末二氧化碳分压(PET CO2)。Jones等人的方程在缺氧运动期间往往会低估经温度校正(tc)的Pa CO2,Pa CO2 tc越低,偏差越大(r = 0.39,P < 0.05)。新方程是使用随机效应回归分析模型开发的,该模型能够预测常氧和缺氧状态下的Pa CO2 tc:Pa CO2 tc = 8.607 + 0.716×PET CO2 [R(2) = 0.91;截距标准误 = 1.022(P < 0.001),斜率标准误 = 0.027(P < 0.001)]。该方程可能在脑血流动力学的无创研究中有用,在这类研究中,需要准确估计Pa CO2以计算呼气末与动脉血二氧化碳分压差值,该差值可作为肺气体交换效率的指标。

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