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静息动脉血氧饱和度和呼吸频率作为急性高原病发生的预测指标:一项前瞻性队列研究。

Resting arterial oxygen saturation and breathing frequency as predictors for acute mountain sickness development: a prospective cohort study.

作者信息

Faulhaber Martin, Wille Maria, Gatterer Hannes, Heinrich Dieter, Burtscher Martin

机构信息

Department of Sport Science, University Innsbruck, Fürstenweg 185, 6020, Innsbruck, Austria,

出版信息

Sleep Breath. 2014 Sep;18(3):669-74. doi: 10.1007/s11325-013-0932-2. Epub 2014 Jan 17.

Abstract

INTRODUCTION

The study evaluated the predictive value of arterial oxygen saturation (SaO2) after 30-min hypoxic exposure on subsequent development of acute mountain sickness (AMS) and tested if additional resting cardio-respiratory measurements improve AMS prognosis.

METHODS

Fifty-five persons were exposed to a simulated altitude of 4,500 m (normobaric hypoxia, FiO2 = 12.5%). Cardio-respiratory parameters, SaO2, blood lactate, and blood pressure were measured after 30 min of exposure. AMS symptoms were recorded after 3, 6, 9, and 12 h (Lake-Louise Score). Three models, based on previously published regression equations for altitude-dependent SaO2 values of AMS-susceptible (SaO2-suscept = 98.34 - 2.72 ∗ alt - 0.35 ∗ alt(2)) and AMS-resistant (SaO2-resist = 96.51 + 0.68 ∗ alt - 0.80 ∗ alt(2)) persons, were applied to predict AMS. Additionally, multivariate logistic regression analyses were conducted to test if additional resting measurements improve AMS prediction.

RESULTS

The three models correctly predicted AMS development in 62%, 67%, and 69% of the cases. No model showed combined sensitivity and specificity >80%. Sequential logistic regression revealed that the inclusion of tidal volume or breathing frequency in addition to SaO2 improved overall AMS prediction, resulting in 78% and 80% correct AMS prediction, respectively.

CONCLUSION

Non-invasive measurements of SaO2 after 30-min hypoxic exposure are easy to perform and have the potential to detect AMS-susceptible individuals with a sufficient sensitivity. The additional determination of breathing frequency can improve success in AMS prediction.

摘要

引言

本研究评估了30分钟低氧暴露后动脉血氧饱和度(SaO2)对急性高原病(AMS)后续发生的预测价值,并测试了额外的静息心肺测量是否能改善AMS的预后。

方法

55名受试者暴露于模拟海拔4500米(常压低氧,FiO2 = 12.5%)环境中。暴露30分钟后测量心肺参数、SaO2、血乳酸和血压。在3、6、9和12小时后记录AMS症状(采用路易斯湖评分)。基于先前发表的针对AMS易感人群(SaO2 - 易感 = 98.34 - 2.72 * 海拔 - 0.35 * 海拔(2))和AMS抗性人群(SaO2 - 抗性 = 96.51 + 0.68 * 海拔 - 0.80 * 海拔(2))的海拔依赖性SaO2值的回归方程,应用三个模型预测AMS。此外,进行多变量逻辑回归分析以测试额外的静息测量是否能改善AMS预测。

结果

三个模型分别在62%、67%和69%的病例中正确预测了AMS的发生。没有一个模型的综合敏感性和特异性>80%。序贯逻辑回归显示,除了SaO2外,纳入潮气量或呼吸频率可改善整体AMS预测,正确预测AMS的比例分别为78%和80%。

结论

30分钟低氧暴露后对SaO2进行非侵入性测量易于实施,并且有潜力以足够的敏感性检测出AMS易感个体。额外测定呼吸频率可提高AMS预测的成功率。

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