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正常受试者静态呼吸肌压力与最大自主通气量的关系。

Relationship of static respiratory muscle pressure and maximum voluntary ventilation in normal subjects.

作者信息

Lavietes M H, Clifford E, Silverstein D, Stier F, Reichman L B

出版信息

Respiration. 1979;38(3):121-6. doi: 10.1159/000194068.

Abstract

40 normal subjects performed spirometry, maximum voluntary ventilation (MVV), and tests of static inspiratory (Pi max) and expiratory (Pe max) respiratory muscle pressure. Forced expiratory volumes in 0.5 (FEV0.5), in 0.75 (FEV0.75), and 1 sec (FEV1) correlated significantly with MVV (r = 0.805, 0.804, 0.779, respectively). When Pi max was considered as a second independent variable, the probability of predicting MVV from timed forced expiratory volumes was enhanced (r = 0.914, 0.900 and 0.872 for FEV0.5, FEV0.75, and FEV1, respectively). Statistical analysis indicated that multiple regression with Pi max was superior to regression with timed forced expiratory volume alone in the prediction of MVV. For any given FEV1, however, Pi max was widely dispersed (range: -60 to -200 cm H2O). MVV values, expressed as percentage difference between largest and smallest value, varied less than did Pi max. Pe max, vital capacity, height and age did not enhance the ability of timed forced expiratory volumes to predict MVV. These data indicate that while respiratory muscle strength is important for sustaining maximal ventilation, the MVV is not a sensitive indicator of respiratory muscle strength.

摘要

40名正常受试者进行了肺量计检查、最大自主通气量(MVV)以及静态吸气(最大吸气压,Pi max)和呼气(最大呼气压,Pe max)呼吸肌压力测试。0.5秒用力呼气量(FEV0.5)、0.75秒用力呼气量(FEV0.75)和1秒用力呼气量(FEV1)与MVV显著相关(相关系数分别为0.805、0.804、0.779)。当将Pi max作为第二个自变量时,根据定时用力呼气量预测MVV的概率提高(FEV0.5、FEV0.75和FEV1的相关系数分别为0.914、0.900和0.872)。统计分析表明,在预测MVV方面,包含Pi max的多元回归优于仅使用定时用力呼气量的回归。然而,对于任何给定的FEV1,Pi max的离散度很大(范围:-60至-200 cm H2O)。以最大值与最小值之间的百分比差异表示的MVV值变化小于Pi max。Pe max、肺活量、身高和年龄并未增强定时用力呼气量预测MVV的能力。这些数据表明,虽然呼吸肌力量对于维持最大通气很重要,但MVV并非呼吸肌力量的敏感指标。

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