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在控制通气期间,单呼吸二氧化碳分析作为健康动物模型中肺容积的预测指标。

Single-breath CO2 analysis as a predictor of lung volume in a healthy animal model during controlled ventilation.

作者信息

Stenz R I, Grenier B, Thompson J E, Arnold J H

机构信息

Department of Anesthesia, Children's Hospital, Harvard Medical School, Boston, MA 02115, USA.

出版信息

Crit Care Med. 1998 Aug;26(8):1409-13. doi: 10.1097/00003246-199808000-00028.

Abstract

OBJECTIVE

To examine the utility of single-breath CO2 analysis as a measure of lung volume.

DESIGN

A prospective, animal cohort study comparing 21 parameters derived from single-breath CO2 analysis with lung volume measurements determined by nitrogen washout in animals during controlled ventilation.

SETTING

An animal laboratory in a university-affiliated medical center.

SUBJECTS

Seven healthy lambs.

INTERVENTIONS

The single-breath CO2 analysis station consists of a mainstream capnometer, a variable orifice pneumotachometer, a signal processor and computer software with capability for both on- and off-line data analysis. Twenty-one derived components of the CO2 expirogram were evaluated as predictors of lung volume. Lung volume was manipulated by 3 cm H2O incremental increases in positive end-expiratory pressure from 0 to 21 cm H2O, and ranged between 147 and 942 mL.

MEASUREMENTS AND MAIN RESULTS

Fifty-five measurements of lung volume were available for comparison with derived variables from the CO2 expirogam. Stepwise linear regression identified four variables that were most predictive of lung volume: a) dynamic lung compliance; b) the slope of phase 3; c) the slope of phase 2 divided by the mixed expired CO2 tension; and d) airway deadspace. The multivariate equation was highly statistically significant and explained 94% of the variance (adjusted r2 =.94, p < .0001). The bias and precision of the calculated lung volume was .00 and 51, respectively. The mean percent difference for the lung volume estimate derived from the single-breath CO2 analysis station was 0.79%.

CONCLUSIONS

Our data indicate that analysis of the CO2 expirogram can yield accurate information about lung volume. Specifically, four variables derived from a plot of expired CO2 concentration vs. expired volume predict changes in lung volume in healthy lambs with an adjusted coefficient of determination of .94. Prospective application of this technology in the setting of lung injury and rapidly changing physiology is essential in determining the clinical usefulness of the technique.

摘要

目的

探讨单次呼吸二氧化碳分析作为肺容积测量方法的实用性。

设计

一项前瞻性动物队列研究,比较单次呼吸二氧化碳分析得出的21个参数与动物在控制通气期间通过氮气冲洗测定的肺容积。

地点

大学附属医学中心的动物实验室。

对象

7只健康羔羊。

干预措施

单次呼吸二氧化碳分析站由一台主流二氧化碳监测仪、一个可变孔口呼吸流速计、一个信号处理器和具备在线及离线数据分析能力的计算机软件组成。对二氧化碳呼气图的21个衍生成分进行评估,作为肺容积的预测指标。通过将呼气末正压从0逐步增加3 cm H₂O至21 cm H₂O来控制肺容积,肺容积范围在147至942 mL之间。

测量与主要结果

共有55次肺容积测量值可用于与二氧化碳呼气图的衍生变量进行比较。逐步线性回归确定了四个最能预测肺容积的变量:a)动态肺顺应性;b)第3相斜率;c)第2相斜率除以混合呼出二氧化碳分压;d)气道死腔。多变量方程具有高度统计学意义,解释了94%的方差(调整后r² = 0.94,p < 0.0001)。计算所得肺容积的偏差和精密度分别为0.00和51。单次呼吸二氧化碳分析站得出的肺容积估计值的平均百分比差异为0.79%。

结论

我们的数据表明,对二氧化碳呼气图进行分析可得出有关肺容积的准确信息。具体而言,从呼出二氧化碳浓度与呼出容积的关系图中得出的四个变量可预测健康羔羊肺容积的变化,调整后的决定系数为0.94。在肺损伤和生理状态快速变化的情况下前瞻性应用该技术对于确定该技术的临床实用性至关重要。

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