British Journal of Anaesthesia 1998; 81: 495–501 CLINICAL INVESTIGATIONS Sevoflurane pharmacokinetics: effect of cardiac output† J. F. A. HENDRICKX, A. A. J. VAN ZUNDERT AND A. M. DE WOLF Summary Sevoflurane uptake (Vsevo) can be predicted by the square root of time model or the fourcompartment model. However, Vsevo and the effect of cardiac output on anaesthetic uptake have not been quantified clinically. After obtaining IRB approval and informed consent, 34 adult patients received closed-circuit anaesthesia with sevoflurane for 1 h. The end-expired sevoflurane concentration was maintained at 2.6% by infusion of liquid sevoflurane into the breathing system. In a subgroup of 12 patients, cardiac output was measured every 5 min by thermodilution (CO group). The effect of patient characteristics (age, height, weight, body surface area) and cardiac output on Vsevo were determined, and Vsevo was compared with the theoretical models. In the CO group, measured cardiac output was used in the formulae of these models. A two-exponential curve described average Vsevo well: Vsevo (ml liquid) 01.62(1–e2.3t)18.1(1–e0.0089t), r2 0.999. There was no correlation between Vsevo and patient characteristics, except that Vsevo was greater in patients with a greater cardiac output (r20.36) and cardiac index (r20.35). The rate of sevoflurane uptake decreased less than predicted by the square root of time and four-compartment models, even when measured cardiac output was used in the formulae. These findings confirm that the square root of time and four-compartment models do not accurately predict anaesthetic uptake. In addition, uptake of sevoflurane cannot be predicted by patient characteristics but was higher in patients with a higher cardiac output. (Br. J. Anaesth. 1998; 81: 495–501). Keywords: anaesthetics volatile, sevoflurane; pharmacokinetics, sevoflurane; equipment, breathing systems Theoretically, whole-body uptake of potent inhaled anaesthetics can be predicted from organ volume, organ blood flow and solubility of the anaesthetic in the organ.1 After measurement of the solubility of these agents in various tissues and organs,2 computer simulations were used to study anaesthetic uptake, leading to the development of uptake models such as the square root of time (SqRT) model1 and the fourcompartment (4C) model.3 However, animal data indicate that the theoretical tissue time constants may not accurately describe organ uptake.4 In addition, clinical data show that desflurane and isoflurane uptake are different from predictions based on these models.5–8 It has been speculated that the discrepancies between the clinical observations and SqRT and 4C models are the result of factors such as changes in cardiac output (CO) with surgical stimulation or cutaneous and visceral losses.9 However, the effect of CO on anaesthetic uptake has not been evaluated in humans. In addition, sevoflurane uptake (Vsevo) has not been quantified in humans. Therefore, we have determined Vsevo using closedcircuit anaesthesia and investigated the relationship between Vsevo and CO, cardiac index (CI) and other patient characteristics. We also compared Vsevo with uptake predicted by the SqRT and 4C models using both calculated and measured CO in the formulae of these models. Patients and methods After obtaining approval from the hospital’s Biomedical Institutional Review Board and informed consent, we studied 34 adult ASA I–III patients undergoing a variety of peripheral and abdominal procedures under general anaesthesia with sevoflurane in oxygen. Patient age, sex, height and weight were obtained, and body surface area (BSA) was calculated. Premedication was adjusted to patient needs. After preoxygenation, anaesthesia was induced with propofol 2.5–3 mg kg1 or etomidate 0.3 mg kg1. Tracheal intubation was facilitated by succinylcholine 1 mg kg1 or vecuronium 0.08 mg kg1. Vecuronium was used to maintain neuromuscular block in all patients. After further denitrogenation (end-expired nitrogen concentration 3%), the circle system was closed and liquid sevoflurane was injected into the inspiratory limb of the circle system using a syringe pump with a volumetric accuracy of 2%. An end-expired sevoflurane concentration of 2.6% (1.3 minimal alveolar concentration (MAC)) was achieved as rapidly as possible after the start of infusion of sevoflurane, and this end-expired concentration was maintained throughout the procedure by adjusting the infusion rate. Rapid vaporization of sevoflurane was ensured by heating the metal injection port using warm air, and visual inspection of the J. F. A. HENDRICKX, MD, A. A. J. VAN ZUNDERT, MD, PHD, Department of Anaesthesiology, Intensive Care and Pain Therapy, Catharina Hospital, Eindhoven, The Netherlands. A. M. DE WOLF*, MD, Department of Anesthesiology, Northwestern University Medical School, 303 E. Superior St., Suite 360, Chicago, IL 60611–3053, USA. Accepted for publication: May 26, 1998. †Presented in part at the ASA annual meeting, San Diego, CA, October, 1997. *Correspondence to A.M. de W. 496 injection site revealed that after 5 min all liquid sevoflurane had vaporized. Oxygen flow was titrated to maintain the volume of the bellows constant. Ventilation was controlled and normocapnia was maintained throughout the procedure. Capnograms were normal in all patients, ensuring reliable endexpired sevoflurane concentrations. Hypotension, defined as a decrease in arterial pressure of more than 25% from baseline, was treated with i.v. fluid administration and ephedrine 5-mg boluses i.v. After 1 h, the circuit was opened and the study terminated. Anaesthetic gas concentrations were monitored with a multi-gas analyser (Datex-Engstrom AS/3 Anesthesia Delivery Unit; Datex, Helsinki, Finland). The sampled gases (150–200 ml min1) were redirected into the system. ADU anaesthesia machines (Datex-Engstrom AS/3 Anesthesia Delivery Unit; Datex, Helsinki, Finland) were used with soda lime as the carbon dioxide absorber. Leak from the anaesthesia machine and breathing system during controlled mechanical ventilation with a peak inspiratory pressure of 30 cm H2O was measured each morning using a self-test. The actual leak for each patient during the study was calculated based on the self-test and measured peak inspiratory pressure, and was 9–27 ml min1. All individual sevoflurane uptake data were corrected for this leak. The amount of liquid anaesthetic needed to load the anaesthesia system and an estimated functional residual capacity (FRC) of 2 litre with 2.6% sevoflurane was 1.3 ml of liquid sevoflurane. This dose is included in all data, curve fitting procedures and model predictions. In a subset of 12 patients, CO and CI were measured by thermodilution after placement of a pulmonary artery catheter (CO group). CO and CI were measured just before the start of infusion of sevoflurane and every 5 min thereafter. The cumulative sevoflurane dose (total amount of liquid anaesthetic injected over time) and endexpired anaesthetic concentrations were recorded every 1 min. Individual uptake curves and the average uptake curve were fitted to a series of mathematical models including, but not limited to, one- and twoexponential models (Table Curve 2D Automated Curve Fitting Software and Sigmaplot, Jandel, San Rafael, CA, USA). While a large number of equations accurately describe the uptake curves (r20.999), we chose one- or two-exponential functions, guided by goodness of fit (visual inspection and r2 values, as calculated by the program), by simplicity of the function and by the fact that most biological processes behave exponentially. Exponential curve fitting yielded the following equations: Vsevo = a2 + b2 × (1 − e-c2 × t) (oneexponential fit); and Vsevo = a3 + b3 ×(1−e-c3×t)+d3 ×(1−e−e3×t) (two-exponential fit). With the available data, the five parameters of the two-exponential fit could not be determined in all patients without the parameters becoming interdependent from one another. Because visual inspection revealed uptake at 3–60 min to be almost constant, and because the second time constant (112 min) of the two-exponential fit was so long relative to the duration of measurement (60 min), the individual uptake curves and the average uptake curve at 3–60 min were also fitted to a linear model: Vsevoa1b1t. The parameters of the individually fitted curves (b1, b2, c2, b3, c3, d3 and e3) were correlated with patient characteristics and in the CO group with British Journal of Anaesthesia CO and CI using linear regression analysis. Vsevo was compared with uptake predicted by the SqRT and 4C models, using calculated CO (Brody’s formula: CO0.2weight0.75 litre min1) in the total patient population and measured CO in the CO group. The formulae used to calculate uptake according to the SqRT and 4C models are presented in appendices A and B. Values are presented as mean (SD). Results Patient characteristics are shown in table 1. In two patients in the CO group, administration of sevoflurane was discontinued after 30 min because of hypotension, which was the result of excessive peripheral vasodilatation. Their uptake data for the first 30 min are included in the final data analysis. No patient developed clinical signs of renal dysfunction after operation. Within 3–5 min, a constant end-expired sevoflurane concentration of 2.6% was obtained in all patients (fig. 1). There was significant inter-individual variation in Vsevo, with a coefficient of variation of 14–17 % over time. Sevoflurane cumulative doses after 5, 15, 30 and 60 min are presented in table 2. Individual linear, one-exponential and two-exponential curve fit parameters are presented in tables 3–5. A two-exponential curve was fitted in only 10 patients without the parameters becoming interdependent. The average uptake curve (fig. 2) was also fitted using linear, one-exponential and two-exponential models, yielding the following equations: Vsevo (ml liquid)2.040.122t (r20.995) (the linear fit for 3–60 min); Vsevo (ml liquid)1.3414.29 (1–e0.013t) (r20.993); and Vsevo (ml liquid)01.62 (1– e2.3t)18.1(1– e0.0089t ) (r20.999). Because the amount of liquid anaesthetic needed to load the anaesthesia system and an estimated FRC of 2 litre with 2.6% sevoflurane was 1.3 ml, the a2 intercept of the one-exponential fit and the sum of the a3 intercept and b3 of the two-exponential fit mainly reflected the anaesthesia system and FRC wash-in. b1 (the slope of the linear fit) did not correlate with age (r20.01), height (r2 0.01), weight (r20.08) or BSA (r20.05) (table 6). The correlations between the parameters b2, c2, b3, c3, d3 and e3 of the one- and twoexponential fitted curves and patient characteristics, CO and CI were not better than those between b1 and the same characteristics. The SqRT and 4C models (based on calculated CO) overestimated average Vsevo during the initial part of the procedure (first 36 and 15 min, respectively), and underestimated average Vsevo thereafter (fig. 2). Similar observations were made in individual patients. In the CO group, measured CO was remarkably stable (less than 5% variability over time) (fig. 3). Surgical incision did not affect CO. Average Vsevo in the CO group was similar to that in all 34 patients (fig. 4). b1 in the CO group was 0.126 (0.021) and did not correlate with height (r2 0.01), weight (r20.01) or BSA (r2 0.01) (table 6). A correlation was found between b1 and age: b10.04220.0025(age) (r20.35). A higher CO and CI were associated with a higher b1 (r20.36 and r20.35, respectively) (table 6, fig. 4). The correlations between the parameters of the one- and two-exponential fitted curves and patient characteristics, CO and CI were not better Sevoflurane pharmacokinetics 497 Table 1 Patient characteristics with calculated cardiac output (COc) and cardiac index (CIc), and measured cardiac output (COm) and cardiac index (CIm). BSABody surface area Patient No. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 Mean (SD) Sex M F M M F F F F M F F M F M F F M M M F M M M F F M F F F F F F M F Age (yr) Height (cm) Weight (kg) BSA (m2) COc (litre min1) CIc (litre min1 m2) 17 65 70 62 52 56 24 28 67 75 63 74 38 64 74 40 50 65 65 63 83 34 66 67 47 68 45 26 53 59 39 24 65 60 54.4 (17.2) 185 158 169 169 165 163 153 168 182 155 166 172 160 170 158 163 186 176 178 158 170 171 174 160 164 174 156 160 156 157 168 169 187 165 167.2 (9.2) 64 62 60 72 86 69 67 73 79 68 60 78 52 69 56 57 70 74 65 71 63 58 74 61 60 86 67 71 75 50 72 65 65 65 67.1 (8.5) 1.85 1.63 1.69 1.82 1.93 1.74 1.65 1.83 2.00 1.67 1.67 1.91 1.53 1.80 1.55 1.60 1.93 1.90 1.81 1.73 1.73 1.68 1.88 1.63 1.65 2.01 1.67 1.74 1.75 1.48 1.82 1.75 1.88 1.71 1.75 (0.13) 4.50 4.42 4.31 4.94 5.65 4.79 4.68 4.99 5.30 4.74 4.31 5.25 3.87 4.79 4.07 4.12 4.84 5.05 4.58 4.89 4.47 4.20 5.05 4.37 4.31 5.65 4.68 4.89 5.10 3.76 4.94 4.58 4.58 4.58 4.68 (0.44) 2.44 2.71 2.55 2.71 2.92 2.74 2.85 2.73 2.65 2.83 2.59 2.75 2.54 2.66 2.62 2.57 2.51 2.66 2.53 2.83 2.58 2.51 2.68 2.67 2.61 2.81 2.81 2.81 2.91 2.54 2.72 2.62 2.44 2.68 2.67 (0.13) than those between b1 and the same characteristics. When measured CO data were used in the formulae of the theoretical models, the SqRT and 4C models still overestimated average Vsevo during the initial part of the procedure (first 32 and 18 min, respectively), and underestimated uptake thereafter (fig. 5); the same was true for individual patients. Discussion A two-exponential curve fitted the average Vsevo very well for procedures up to 1 h. The relatively long time constant (112 min) of the second exponential function of the two-exponential curve fit indicated that after the 3–5-min wash-in period, the rate of sevoflurane uptake over time changed little during the first hour. In addition, the rate of sevoflurane uptake, or Vsevo per unit time (ml liquid min1), decreased less than predicted by the SqRT and 4C models, even when measured CO was used in the formulae of these models. The rate of uptake of isoflurane and desflurane also decreased significantly less than predicted by the SqRT model.5–8 It has been speculated that the discrepancies between the clinical observations and SqRT and 4C models are the result of factors such as changes in CO with surgical stimulation, or cutaneous and visceral losses.9 However, we found that CO did not fluctuate significantly in this clinical study using sevoflurane anaesthesia. After substituting measured CO values in the formulae, both mod- COm (litre min1) CIm (litre min1 m2) 3.64 2.23 3.83 2.10 4.83 4.80 2.41 2.87 6.00 3.14 4.71 3.03 4.18 3.33 2.87 2.20 1.84 1.66 4.61 2.44 3.59 1.79 5.39 4.31 (0.91) 3.15 2.41 (0.53) els overestimated uptake during the initial part of the procedure and underestimated it thereafter. Although a higher CO and CI were associated with higher sevoflurane uptake, we found that the correlation between CI and b1 (r20.35) was no better than the correlation between CO and b1 (r20.36). Preliminary data for desflurane uptake appear to confirm these findings.8 Visceral and percutaneous losses are minimal and probably cannot account for the differences between our data and the theoretical models.10 11 Although soda lime absorbs and degrades Figure 1 End-expired sevoflurane concentration over time in all 34 patients (mean, SD). 498 British Journal of Anaesthesia Table 2 Cumulative dose of sevoflurane (CDsevo) after 5, 15, 30, 45 and 60 min. †Based on 30-min observations Table 4 One-exponential fit parameters (Vsevo = a2 + b2 ×(1− e−c2×t ). †Based on 30-min observations Patient No. CDsevo 5 CDsevo 15 (ml) (ml) CDsevo 30 (ml) CDsevo 45 CDsevo 60 (ml) (ml) Patient No. a2 (ml) b2 (ml) c2 (min1) r2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19† 20 21 22 23† 24 25 26 27 28 29 30 31 32 33 34 2.6 2.2 2.7 2.9 2.6 2.7 3.5 3.1 2.2 2.3 2.3 1.8 2.6 2.1 2.0 2.4 2.6 2.3 2.2 2.1 2.1 2.7 2.2 2.1 1.9 2.1 2.4 2.8 2.4 2.0 2.5 2.4 2.5 2.0 3.6 3.5 4.2 5.3 4.2 4.1 5.2 4.4 3.8 3.6 3.7 3.7 3.4 3.4 3.7 4.0 5.0 4.1 3.2 3.1 3.6 3.5 3.7 3.6 3.3 3.5 5.0 4.8 4.7 3.2 4.8 3.6 3.7 3.5 4.9 5.3 5.9 7.2 6.3 5.7 7.4 6.9 5.9 5.8 5.5 5.8 4.9 5.3 6.2 5.8 7.6 6.2 5.0 4.7 6.0 4.7 5.3 5.6 4.9 5.0 7.5 6.4 6.4 5.1 6.8 4.8 5.3 5.4 6.2 6.6 7.5 9.3 7.9 7.0 9.1 8.9 7.7 7.9 6.6 8.4 6.3 6.6 8.3 7.8 10.3 7.8 7.3 8.3 8.9 11.3 9.5 8.7 11.2 11.3 9.4 9.9 7.7 10.2 7.6 7.8 10.2 9.6 12.5 9.2 6.0 8.1 6.2 7.4 10.1 7.3 6.9 6.4 6.3 9.8 7.8 8.8 6.5 8.8 6.1 6.6 6.8 8.2 7.9 7.9 12.1 9.4 11.2 7.7 10.4 7.3 7.8 7.9 Mean (SD) 2.4 (0.4) 3.9 (0.6) 5.8 (0.8) 7.5 (1.2) 9.1 (1.5) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19† 20 21 22 23† 24 25 26 27 28 29 30 31 32 33 34 Mean (SD) 1.5 1.3 1.5 1.6 1.5 1.5 1.9 1.8 1.3 1.3 1.2 0.7 1.4 1.2 1.4 1.3 1.3 1.1 1.0 1.3 1.1 1.7 1.0 1.1 1.2 1.3 1.2 1.6 1.6 1.1 1.3 1.6 1.5 1.0 1.33 (0.26) 8.5 11.9 11.8 15.1 12.5 10.4 13.7 33.2 17.0 51.9 7.6 33.5 10.5 11.0 10.5 20.2 24.0 11.9 6.8 14.1 24.1 16.7 6.2 10.0 12.6 11.8 18.7 9.5 31.0 11.8 13.5 10.2 8.4 10.4 15.62 (9.56) 0.018 0.014 0.016 0.016 0.016 0.018 0.017 0.006 0.011 0.003 0.028 0.006 0.014 0.015 0.014 0.008 0.011 0.019 0.028 0.009 0.008 0.007 0.040 0.020 0.012 0.013 0.014 0.025 0.006 0.014 0.018 0.013 0.021 0.018 0.015 (0.007) 0.979 0.990 0.989 0.988 0.990 0.984 0.984 0.989 0.993 0.994 0.989 0.997 0.983 0.993 0.983 0.993 0.996 0.995 0.961 0.989 0.996 0.977 0.968 0.993 0.988 0.988 0.996 0.984 0.989 0.992 0.993 0.979 0.982 0.994 0.987 (0.008) Table 3 Linear fit parameters (Vsevoa1+b1t) based on 3–60-min observations. †Based on 3–30-min observations Patient No. a1 (ml) b1 (ml min1) r2 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19† 20 21 22 23† 24 25 26 27 28 29 30 31 32 33 34 Mean (SD) 2.301 1.956 2.345 2.663 2.393 2.376 3.079 2.247 1.854 1.545 2.385 1.107 2.092 1.828 1.473 1.800 2.101 2.091 1.503 1.690 1.519 2.051 1.662 1.987 1.782 1.860 2.168 2.884 2.089 1.673 2.371 2.180 2.414 1.853 2.039 (0.416) 0.086 0.106 0.114 0.149 0.123 0.105 0.136 0.151 0.128 0.141 0.094 0.158 0.093 0.105 0.152 0.130 0.180 0.126 0.117 0.096 0.145 0.090 0.132 0.110 0.102 0.100 0.169 0.111 0.150 0.107 0.142 0.087 0.093 0.108 0.122 (0.025) 0.994 0.990 0.992 0.985 0.990 0.990 0.992 0.998 0.995 0.999 0.967 0.997 0.996 0.991 0.995 0.997 0.995 0.986 0.994 0.998 0.997 0.997 0.993 0.980 0.994 0.994 0.991 0.979 0.996 0.990 0.986 0.997 0.985 0.986 0.991 (0.007) Table 5 Two-exponential fit parameters (Vsevo = a3 + b3 ×(1− e−e3×t) +d3 ×(1 − e − e3×t ) Patient No. a3 (ml) b3 (ml) c3 min1) d3 (ml) e3 (min1) r2 1 3 5 6 7 13 14 31 32 33 Mean (SD) 0.1 0.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.0 0.07 (0.16) 2.1 1.9 1.8 2.0 2.6 1.9 1.4 1.6 2.0 1.9 1.91 (0.33) 0.647 2.183 2.257 0.796 0.893 0.762 2.657 2.875 1.918 1.294 1.628 (0.847) 16.7 14.6 14.9 15.3 20.3 23.5 12.8 14.9 18.0 10.3 16.12 (3.76) 0.00618 0.01099 0.01184 0.00909 0.00877 0.00451 0.01177 0.01475 0.00577 0.01379 0.00975 (0.00347) 0.999 0.999 0.998 0.996 0.997 0.999 0.999 0.998 0.999 0.996 0.9980 (0.0011) sevoflurane, we calculated that approximately 0.2 ml h1 of liquid sevoflurane would be absorbed and degraded under our study conditions, which is approximately 2% of the total uptake of sevoflurane after 1 h in this study.12 Sevoflurane undergoes biodegradation, but this amount is only a fraction (approximately 3%) of total body uptake.13 There are other indications that the SqRT and 4C models may not be accurate, as recent observations suggest that some of the underlying assumptions used in the uptake models may be incorrect or incomplete. The SqRT and 4C models assume that arterial partial pressures equal alveolar partial pres- Sevoflurane pharmacokinetics 499 Figure 2 Cumulative sevoflurane dose (mean, SD ml liquid) in all 34 patients and cumulative dose, as predicted by the square root of time (SqRT) and four-compartment (4C) models, using calculated cardiac output in the formulae of these models. sures.1 3 This may be the basis of significant error, because a significant arterial to end-expired gradient for isoflurane has been described in humans, caused by deadspace ventilation, shunting and diffusion limitations.14 The arterial to end-expired partial pressure ratio was 0.66 after end-expired isoflurane partial pressure had been stable for at least 15 min.14 In addition, the theoretical models calculate whole body anaesthetic uptake based on the uptake of each individual organ, which can be determined from the volume of the organ, tissue solubility of the agent and organ perfusion.1 3 Assuming organ uptake is an exponential process when arterial concentration is constant, a time constant can be calculated for each organ or tissue group. However, brain time constants of desflurane, isoflurane and halothane in rabbits obtained in vivo differ significantly from the theoretically calculated values.4 Tissue–gas partition coefficients determined on tissue homogenates from cadavers15 may not represent solubility of an anaesthetic in an organ in vivo. Reported values for tissue–gas partition coefficients for isoflurane differ by up to 150% between studies, and the coefficient of variation for isoflurane tissue–gas partition coefficient is up to 150% (for muscle–gas partition coefficient) between patients.15 In addition, regional blood flows used in the theoretical models may not be accurate. Finally, the theoretical models may not account for uptake by anatomically or functionally less well defined “tissue groups”. Also, inter-tissue diffusion may be a factor affecting uptake and distribution of inhaled anaesthetics, but it is unclear how this affects total body uptake.16–18 These arguments indicate that Figure 3 Measured cardiac output (CO) in a subgroup of 12 patients (CO group) (mean, SD). Figure 4 Correlation between (A) cardiac output (CO) and (B) cardiac index (CI) and b1 in a subgroup of 12 patients (CO group). b1 represents the slope of the linear fit of sevoflurane uptake (Vsevo) between 3 and 60 min. Table 6 Correlations (r2) between b1 and patient characteristics, CO, and CI. b1 represents the slope of the linearly fitted curve of sevoflurane uptake between 3 and 60 min. BSABody surface area, COcardiac output, CIcardiac index Age Height Weight BSA CO CI All patient CO group 0.01 0.01 0.08 0.05 — — 0.35 0.01 0.01 0.01 0.36 0.35 Figure 5 Cumulative sevoflurane dose (mean, SD ml liquid) in a subgroup of 12 patients (CO group), and cumulative dose, as predicted by the square root of time (SqRT) and four-compartment (4C) models using measured cardiac output in the formulae of these models. 500 many steps along the partial pressure cascade of potent inhaled anaesthetics are poorly studied. Even though more sophisticated uptake models exist, they lack sufficient experimental validation.19–22 Our observations have several implications. First, quantification of whole body uptake is important because it forms the basis for the general anaesthetic equation which determines vaporizer settings over time with different fresh gas flows to maintain a constant end-expired concentration.1 The relatively long time constant (112 min) of the second exponential function of the two-exponential curve fit of the average Vsevo implies that after the desired end-expired concentration has been obtained and maintained for approximately 5 min, the changes in vaporizer setting are minimal for the remainder of the anaesthetic, even if low-flow or closed-circuit anaesthesia is used. The increasing availability of anaesthetic gas monitoring and introduction of agents with a low blood–gas partition coefficient may further facilitate low-flow anaesthesia. Second, current computer programs simulating anaesthetic uptake may not be correct because they are based on theoretical models, although these programs may still be useful to teach some basic principles of anaesthetic uptake. Pharmaco-economical studies comparing the costs of different agents and evaluating the cost–effectiveness of future automated low-flow and closed-circuit anaesthesia machines should use real uptake data. Third, we could not find any correlation between Vsevo and patient weight, height or BSA. Even though some authors found weak correlations,23 most authors did not.5 6 8 24 At the tissue level, no correlation was found between tissue–gas solubilities and age (except for a correlation between age and desflurane muscle–gas partition coefficient, with r20.59).15 Automated feedback-controlled administration of inhaled anaesthetics in future anaesthesia delivery systems based on low-flow and closedcircuit anaesthesia may provide a clinical solution for inter-individual variation in anaesthetic uptake. Fourth, Eger has described that when the inspired concentration is kept constant, the alveolar concentration of an inhaled anaesthetic increases more slowly when CO is greater because anaesthetic uptake is greater.3 We also found that anaesthetic uptake is greater with a greater CO, but in our study design the end-expired concentration was kept constant, and hence the rate of increase in alveolar concentration was dependent on the speed of injection and vaporization of the agent only. While a greater CO may slow induction (defined as the rate of rise of brain concentration) with the former technique (constant inspired concentration) and hasten induction with the latter (constant endexpired concentration), this has yet to be proved in vivo. When using the closed-loop feedback technique to maintain the end-expired concentration constant, the rate of increase in alveolar concentration of an inhaled anaesthetic becomes independent of both cardiac output and blood–gas solubility of the agent. We limited this study to 1 h because more data are needed to define the clinically safe combinations of fresh gas flow, sevoflurane concentration and duration of administration. While closed-circuit anaesthesia with sevoflurane up to 3–5 h was found previously British Journal of Anaesthesia to be safe,25 more recent data urge caution because of the accumulation of possible nephrotoxic sevoflurane degradation products.26 Studies using closed-circuit anaesthesia to determine Vsevo during prolonged procedures will have to be delayed until this issue has been clarified. In summary, the SqRT and 4C models were inaccurate in their prediction of Vsevo, and their accuracy did not improve when measured CO was used in the calculations. Vsevo cannot be predicted by patient characteristics but was greater in patients with a higher cardiac output. Appendix A SEVOFLURANE UPTAKE ACCORDING TO THE SQUARE ROOT 1 OF TIME MODEL OF LOWE AND ERNST During closed-circuit anaesthesia, uptake of a potent inhaled anaesthetic has been predicted by the SqRT model.1 A “unit dose” is taken up by the body during the first minute and during each subsequent time interval (3 min, 5 min, 7 min, 9 min, 11 min, 13 min, etc.). In addition, the “prime dose” is required to saturate the circuit, functional residual capacity (FRC) and arterial delivery system. The addition of the prime dose and unit dose over time result in the “cumulative dose”. (1) Unit dose (litre of vapour) 2 × f × MAC × λB/G × Q (2) Prime dose (litre of vapour) f × MAC× λB/G ×Q + Vol × f × MAC (3) Cumulative dose (litre of vapour)prime doseunit dose × t = f × MAC× λB/G ×Q + Vol × f × MAC+2× f × MAC× λB/G ×Q× t (4) Conversion of vapour into liquid: 1 litre vapour MW/(24D) litre liquid where ffraction of MAC administered (in this study 1.3); MAC minimal alveolar concentration (for sevoflurane 2%); B/G blood–gas partition coefficient (for sevoflurane 0.6); Qcardiac output (CO, litre min1), calculated, based on Brody: CO0.2weight (kg)0.75: 4.68 (0.44) litre min1 (n34), and measured, in the CO group: 4.36 (0.18) litre min1 (n12); ttime (min); tsquare root of time; Volvolume of circuit and FRC (litre); MWmolecular weight (for sevoflurane 200); Ddensity (for sevoflurane 1.505103 g litre1). Appendix B SEVOFLURANE UPTAKE ACCORDING TO THE FOURCOMPARTMENT MODEL OF EGER 3 Anaesthetic uptake by an organ at constant arterial concentration can be calculated when the size of the organ, solubility of the anaesthetic vapour in the organ and organ perfusion are known.1 2 Organs and tissues are grouped into VRG, MG, FG and VPG (vessel-rich group, muscle group, fat group and vessel poor group, respectively). VPG is ignored in the calculations because its contribution to uptake during the first hour is small and because sevoflurane solubility in these tissues has not been determined. The amount of liquid anaesthetic needed to load the anaesthesia breathing system and an estimated functional residual capacity (FRC) of 2 litre with 2.6% sevoflurane was 1.3 ml of liquid sevoflurane. This dose is included in the model prediction. (1) Organ capacity (litre vapour) f × MAC × λ T/G ×VO (2) Organ time constant (t, min) (VO× λ T/B )/ QO (3) Organ uptake (litre vapour min1)amount delivered fraction absorbed (Ca ×10 × QO ) × e -t/τ (4) Cumulative organ uptake (litre vapour)(fMAC λ T/G × VO ) × (1 − e t/τ ) where VOorgan volume (litre); QOorgan blood flow (litre min1); τorgan time constant (min); T/Gtissue–gas partition coefficient (see Laster and colleagues10); T/Btissue–blood partition coefficient (see Laster and colleagues10); Caarterial concentration (fMACB/G). In table 1A, we present the information that was used to calculate Vsevo according to the four compartment model for all 34 patients combined and for the subgroup of 12 patients in which CO was measured invasively.1 3 15 B/G0.6; 3τ gives 95% organ saturation. Sevoflurane pharmacokinetics 501 Table 1A Vsevo according to the four-compartment model for all 34 patients combined and for the subgroup of 12 patients in which cardiac output (CO) was measured invasively.1 3 15 λB/G0.6; 3 gives 95% organ saturation. MGMuscle group, FGfat group Brain Liver Heart Kidney Blood MG FG T/B T/G 1.70 1.15 1.85 1.25 1.78 1.21 1.15 0.78 — 0.6 3.13 2.38 47.5 34.0 All patients combined V0 (litre) Organ capacity (ml liquid) Organ blood flow (Q0, litre min1) τ (min) 1.41 0.23 0.74 3.23 3.82 0.69 1.41 5.02 0.27 0.05 0.22 2.18 0.27 0.03 1.19 0.26 4.70 0.38 — — 28.58 9.77 0.59 151 10.07 49.16 0.22 2174 CO group V0 (litre) Organ capacity (ml liquid) Organ blood flow (Q0, litre min1) τ (min) 1.49 0.25 0.69 3.66 4.04 0.72 1.31 5.70 0.28 0.05 0.21 2.37 0.28 0.03 1.10 0.30 4.96 0.40 — — 30.16 10.31 0.55 171 10.62 51.87 0.21 2402 References 1. Lowe HJ, Ernst EA. The Quantitative Practice of Anesthesia— Use of Closed Circuit. Baltimore: Williams and Wilkins, 1981. 2. 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