Karbing Dan S, Kjaergaard Søren, Smith Bram W, Espersen Kurt, Allerød Charlotte, Andreassen Steen, Rees Stephen E
Center for Model-based Medical Decision Support, Department of Health Science and Technology, Aalborg University, Fredrik Bajers Vej 7, E4-215, DK-9220 Aalborg East, Denmark.
Crit Care. 2007;11(6):R118. doi: 10.1186/cc6174.
Previous studies have shown through theoretical analyses that the ratio of the partial pressure of oxygen in arterial blood (PaO2) to the inspired oxygen fraction (FiO2) varies with the FiO2 level. The aim of the present study was to evaluate the relevance of this variation both theoretically and experimentally using mathematical model simulations, comparing these ratio simulations with PaO2/FiO2 ratios measured in a range of different patients.
The study was designed as a retrospective study using data from 36 mechanically ventilated patients and 57 spontaneously breathing patients studied on one or more occasions. Patients were classified into four disease groups (normal, mild hypoxemia, acute lung injury and acute respiratory distress syndrome) according to their PaO2/FiO2 ratio. On each occasion the patients were studied using four to eight different FiO2 values, achieving arterial oxygen saturations in the range 85-100%. At each FiO2 level, measurements were taken of ventilation, of arterial acid-base and of oxygenation status. Two mathematical models were fitted to the data: a one-parameter 'effective shunt' model, and a two-parameter shunt and ventilation/perfusion model. These models and patient data were used to investigate the variation in the PaO2/FiO2 ratio with FiO2, and to quantify how many patients changed disease classification due to variation in the PaO2/FiO2 ratio. An F test was used to assess the statistical difference between the two models' fit to the data. A confusion matrix was used to quantify the number of patients changing disease classification.
The two-parameter model gave a statistically better fit to patient data (P < 0.005). When using this model to simulate variation in the PaO2/FiO2 ratio, disease classification changed in 30% of the patients when changing the FiO2 level.
The PaO2/FiO2 ratio depends on both the FiO2 level and the arterial oxygen saturation level. As a minimum, the FiO2 level at which the PaO2/FiO2 ratio is measured should be defined when quantifying the effects of therapeutic interventions or when specifying diagnostic criteria for acute lung injury and acute respiratory distress syndrome. Alternatively, oxygenation problems could be described using parameters describing shunt and ventilation/perfusion mismatch.
以往的研究通过理论分析表明,动脉血氧分压(PaO2)与吸入氧分数(FiO2)的比值会随FiO2水平而变化。本研究的目的是通过数学模型模拟从理论和实验两方面评估这种变化的相关性,并将这些比值模拟结果与一系列不同患者测量的PaO2/FiO2比值进行比较。
本研究设计为一项回顾性研究,使用了36例机械通气患者和57例自主呼吸患者一次或多次研究的数据。根据患者的PaO2/FiO2比值将其分为四个疾病组(正常、轻度低氧血症、急性肺损伤和急性呼吸窘迫综合征)。每次研究时,使用四至八个不同的FiO2值对患者进行研究,使动脉血氧饱和度达到85%至100%的范围。在每个FiO2水平,测量通气、动脉酸碱平衡和氧合状态。对数据拟合了两个数学模型:一个单参数“有效分流”模型和一个双参数分流与通气/灌注模型。这些模型和患者数据用于研究PaO2/FiO2比值随FiO2的变化,并量化因PaO2/FiO2比值变化而改变疾病分类的患者数量。使用F检验评估两个模型对数据拟合的统计差异。使用混淆矩阵量化改变疾病分类的患者数量。
双参数模型对患者数据的拟合在统计学上更好(P < 0.005)。当使用该模型模拟PaO2/FiO2比值的变化时,改变FiO2水平时30%的患者疾病分类发生了变化。
PaO2/FiO2比值既取决于FiO2水平,也取决于动脉血氧饱和度水平。在量化治疗干预效果或指定急性肺损伤和急性呼吸窘迫综合征的诊断标准时,至少应定义测量PaO2/FiO2比值时的FiO2水平。或者,可以使用描述分流和通气/灌注不匹配的参数来描述氧合问题。