Results λB/Gs in hematocrit 40% non-crystalloid hemodilution blood were 0.55±0.02 for desflurane, 0.68±0.03 for sevoflurane, 1.38±0.05 for isoflurane, 1.98±0.12 for enflurane, and 2.59±0.12 for halothane. In all conditions, λB/G and λS/G were in the order of desflurane < sevoflurane < isoflurane < enflurane < halothane (Table 1). As temperature decreased, logeλB/G and logeλS/G of the five anesthetics at all hematocrit increased linearly (R2=0.87-0.98, P<0.05, Table 1). The slopes of regression line were lie between -0.0433 and -0.0262. This slope was defined as temperature coefficient [10], and represented that λB/G or λS/G increased 4.33% to 2.62% per 1 ℃ decreased in temperature. The temperature coefficient increased linearly as the loge λB/G at 37℃ increased (R2=0.86, Figure 1). When the results of all agents and all hematocrit values were pooled, the temperature coefficient of λB/G are -3.61% (95% CL -3.41%, -3.80%). During saline hemodilution, as hematocrit decreased, logeλB/G of the five anesthetics at six temperatures decreased linearly (R2=0.94-1.00, P<0.05). The slopes of regression lines were lie between 0.0059 and 0.0230. This slope was defined as hematocrit coefficient, and represented that λB/G decreased 0.59% to 2.30% per 1 % decreased in hematocrit (Table 2). λS/G were significant lower (P<0.05) than λB/G in undiluted blood samples for five anesthetics at all temperatures tested, i.e. RS/B < 1.00 (Table 2). As RS/B increased, the hematocrit coefficient decreased linearly (R2=0.96, Figure 2). The combined effect of hypothermia and crystalloid hemodilution on λB/Gs of the five anesthetics were expressed as following five multiple linear regression equations: Desflurane: logeλB/G = - 0.0302*T + 0.0094*HCT+0.119 R2=0.973 Sevoflurane: logeλB/G = - 0.0295*T + 0.0092*HCT+0.306 R2=0.961 Isoflurane: logeλB/G = - 0.0382*T + 0.0154*HCT+1.120 R2=0.997 Enflurane: logeλB/G = - 0.0408*T + 0.0198*HCT+1.408 R2=0.982 Halothane: logeλB/G = - 0.0417*T + 0.0218*HCT+1.649 R2=0.994 Where T is temperature (℃) and HCT is hematocrit (%). Discussion At all temperature and hematocrit tested, λB/G and λS/G of the five anesthetics are in the order of desflurane < sevoflurane < isoflurane < enflurane < halothane. As anticipated, both λS/G and λB/G of volatile anesthetics increased as temperature decreased (Table 1), a finding consistent with previous studies [1-3]. Table 1 also gives the slope of regression line between logarithm of solubility and temperature, which is defined as temperature coefficient [10]. Taking all agents and all hemodilution conditions tested in this study into account, linear correlation was found between temperature coefficient and its logarithm of λB/G at 37℃ (Figure 1). This agrees with the comprehensive review made by Allott’s et al [10]. However, when data of all agents and all hemodilution conditions are pooled, the temperature coefficient is -3.61% (95% CL -3.41%, -3.80%). This is lower than value reported by Lockwood et al (-5.4%) [2]. In their study, they found a simple linear relation between blood solubility and temperature, and calculated the temperature coefficient as slope of regression line divided λB/G at 37℃. Hematocrit was selected to indicate the degree of crystalloid hemodilution in this study. Decrease in hematocrit represented the dilution of whole blood including blood cells and serum constituents influencing the blood solubility of volatile anesthetics [11]. For a given temperature, the change of λB/G caused by crystalloid hemodilution depends on the ratio between λS/G and λB/G in hematocrit 40% undiluted blood (RS/B). For all the five anesthetics at all the temperatures tested in this study, the λS/Gs were lower than λB/Gs in undiluted blood (Table 1), i.e., RS/B < 1.0 (Table 2). Therefore, as hematocrit decreased by adding saline to blood, the logeλB/G decreased for all the anesthetics in a linear fashion (Table 1 and Table 2). Different effect of crystalloid hemodilution on blood solubility for different anesthetics was noted in this study. Table 2 shows that anesthetics with a relatively low λB/G, such as desflurane and sevoflurane, have a higher RS/B, and are less changed by crystalloid hemodilution. Conversely, anesthetics with relatively high λB/G, such as halothane, has a lower RS/B and is more changed by crystalloid hemodilution. As RS/B increased, hematocrit coefficient decreased in a linear fashion (Figure 2), indicating that one can predict hematocrit coefficient of a volatile anesthetic by knowing its λB/G and λS/G. During surgery, especially in cardioplumonary bypass (CPB), both hypothermia and crystalloid hemodilution affect the blood solubility of volatile anesthetics [5-8]. As we discussed above, anesthetics are more soluble in blood at lower temperature. Conversely, crystalloid hemodilution exerts an opposite effect on anesthetic blood solubility because all the modern halogenated volatile anesthetics are less soluble in saline than in blood. These two major factors counteract each other completely in some clinical situations. For example, Nussmeier et al. reported that the blood/gas partition coefficient of isoflurane with hypothermia (23℃) and hemodilution (hematocrit of 23%) was similar to that in undiluted blood at normal body temperature [5]. Feingold found that during CPB, increased blood solubility due to hypothermia was initially antagonized by crystalloid hemodilution [7]. Despite hypothermia and crystalloid hemodilution affect λB/G in an opposite direction and the two factors often simultaneously occur during clinical anesthesia, change in one factor is not parallel to the change in another during entire anesthesia and surgery course in the most clinical settings [5-8, 12]. This non-parallel change in temperature and hematocrit may result in a significant change in blood solubility. Table 1 shows the whole picture of changes in solubility of volatile anesthetic possibly encountered clinically. The values of λB/G located in upper-right column (17℃ and hematocrit 40%) are from 2.3 times (for desflurane) to 3.5 times (for halothane) greater than the values located in the column of 37℃ and hematocrit 20% for the same agent. λB/G determination is time consume and requires some special equipment. It is not convenient to measure several samples at different temperatures even in research laboratory either. So, it is not practical to directly monitor dynamic changes in λB/G of an anesthetic during clinical anesthesia for guiding inhaled anesthetic administration. However, the two major factors affecting blood solubility, body temperature and hematocrit, could be measured easily and quickly in operating room. Therefore, knowledge of combined effects of hypothermia and crystalloid hemodilution on blood solubility is necessary for making theoretical predictions for various purposes under different clinical conditions. By using the multiple linear regression method, we found the regression equations for predicting the combined effect of hypothermia and crystalloid hemodilution on blood solubilities of the five anesthetics. The main purposes of this study was to find equations to predict λB/G of volatile anesthetics at different cross points of various temperatures and crystalloid hemodilution that may occur in clinical anesthesia. In order to test this, we collected λB/G values (measured λB/G) reported in literatures with different temperatures and hematocrit values (crystalloid hemodilution, if any) [1, 3-8, 13], and calculated λB/G values (predicted λB/G) by using one of the five regression equations (shown in Results) based on the volatile anesthetic, temperature and hematocrit tested at the determination of corresponding measured λB/G in literatures. Bland and Altman’s “limits of agreement” analysis [14] were performed between predicted λB/G against corresponding measured λB/G (Figure 3). The mean difference between measured to predicted λB/G is -0.0307 on the log scale, and the limits of agreement (equal to mean±2*SD of the differences, which will include about 95% of the data points) are 0.1528 and -0.3617 (Figure 3). These limits tell us that for about 95% of data points, the predicted λB/G calculated by multiple regression equations may differ from the measured value by 30% below to 17% above (Figure 3). This analysis indicates that within the range of temperature and hematocrit encountered clinically, the multiple linear regression equations obtained from this study are adequate to predict λB/G for modern, halogenated volatile anesthetics. The equations could be used to predict blood solubility at various temperatures and crystalloid hemodilution conditions in order to explain concomitant changes in pharmacokinetics of volatile anesthetics.<?xml:namespace prefix = o ns = "urn:schemas-microsoft-com:office:office" /> |