Mosing Martina, Böhm Stephan H, Rasis Anthea, Hoosgood Giselle, Auer Ulrike, Tusman Gerardo, Bettschart-Wolfensberger Regula, Schramel Johannes P
College of Veterinary Medicine, Murdoch University, Perth, WA, Australia.
Department of Anesthesiology and Intensive Care Medicine, Rostock University Medical Center, Rostock, Germany.
Front Vet Sci. 2018 Mar 28;5:58. doi: 10.3389/fvets.2018.00058. eCollection 2018.
The arterial to end-tidal CO difference (PCO) and alveolar dead space fraction (VDalv = PCO/PaCO), are used to estimate Enghoff's "pulmonary dead space" (V/Q), a factor which is also influenced by venous admixture and other pulmonary perfusion abnormalities and thus is not just a measure of dead space as the name suggests. The aim of this experimental study was to evaluate which factors influence these CO indices in anesthetized spontaneously breathing horses. Six healthy adult horses were anesthetized in dorsal recumbency breathing spontaneously for 3 h. Data to calculate the CO indices (response variables) and dead space variables were measured every 30 min. Bohr's physiological and alveolar dead space variables, cardiac output (CO), mean pulmonary pressure (MPP), venous admixture [Formula: see text], airway dead space, tidal volume, oxygen consumption, and slope III of the volumetric capnogram were evaluated (explanatory variables). Univariate Pearson correlation was first explored for both CO indices before V/Q and the explanatory variables with rho were reported. Multiple linear regression analysis was performed on PCO and VDalv assessing which explanatory variables best explained the variance in each response. The simplest, best-fit model was selected based on the maximum adjusted and smallest Mallow's p (C). The of the selected model, representing how much of the variance in the response could be explained by the selected variables, was reported. The highest correlation was found with the alveolar part of V/Q to alveolar tidal volume ratio for both, PCO ( = 0.899) and VDalv ( = 0.938). Venous admixture and CO best explained PCO ( = 0.752; C = 4.372) and VDalv ( = 0.711; C = 9.915). Adding MPP (PCO) and airway dead space (VDalv) to the models improved them only marginally. No "real" dead space variables from Bohr's equation contributed to the explanation of the variance of the two CO indices. PCO and VDalv were closely associated with the alveolar part of V/Q and as such, were also influenced by variables representing a dysfunctional pulmonary perfusion. Neither PCO nor VDalv should be considered pulmonary dead space, but used as global indices of V/Q mismatching under the described conditions.
动脉血与呼气末二氧化碳分压差(PCO)和肺泡死腔分数(VDalv = PCO/PaCO)用于估算恩霍夫的“肺死腔”(V/Q),该因素也受静脉血掺杂及其他肺灌注异常的影响,因此并不像其名称所暗示的那样仅仅是死腔的一种度量。本实验研究的目的是评估在麻醉状态下自主呼吸的马匹中,哪些因素会影响这些二氧化碳指标。六匹健康成年马在背卧位下麻醉并自主呼吸3小时。每30分钟测量一次用于计算二氧化碳指标(反应变量)和死腔变量的数据。评估了玻尔生理死腔和肺泡死腔变量、心输出量(CO)、平均肺动脉压(MPP)、静脉血掺杂[公式:见原文]、气道死腔、潮气量、耗氧量以及容积二氧化碳图的III斜率(解释变量)。首先对V/Q之前的两个二氧化碳指标与解释变量进行单变量Pearson相关性分析,并报告相关系数rho。对PCO和VDalv进行多元线性回归分析,评估哪些解释变量能最好地解释每个反应中的方差。基于最大调整后R方和最小的马洛斯C统计量(C)选择最简单、拟合度最佳的模型。报告所选模型的R方,其代表所选变量能解释反应中方差的程度。发现PCO(r = 0.899)和VDalv(r = 0.938)与V/Q的肺泡部分与肺泡潮气量之比的相关性最高。静脉血掺杂和心输出量能最好地解释PCO(R方 = 0.752;C = 4.372)和VDalv(R方 = 0.711;C = 9.915)。在模型中加入MPP(PCO)和气道死腔(VDalv)仅略微改善了模型。玻尔方程中的“实际”死腔变量对两个二氧化碳指标方差的解释没有贡献。PCO和VDalv与V/Q的肺泡部分密切相关,因此也受代表肺灌注功能障碍的变量影响。在所述条件下,PCO和VDalv都不应被视为肺死腔,而应作为V/Q不匹配的整体指标。