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Anesth Analg 1999;88:43-48
© 1999 International Anesthesia Research Society


NEUROSURGICAL ANESTHESIA

Capnography Monitoring During Neurosurgery: Reliability in Relation to Various Intraoperative Positions

Bruno Grenier, MD*, Eric Verchère, MD*, Abdelghani Mesli, MD*, Marc Dubreuil, MD{dagger}, Daniel Siao, MD*, Monique Vandendriessche, MD*, Jacques Calès, MD*, and Pierre Maurette, MD*

Departments of *Anesthesiology 3 and {dagger}Anesthesiology 4, University Hospital, Bordeaux, France

Address correspondence and reprint requests to B. Grenier, DAR 3, Hôpital Pellegrin, 33076 Bordeaux Cedex, France. Address e-mail to bruno.grenier{at}chu-aquitaine.fr


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
In neurosurgery, estimation of PaCO2 from PETCO2 has been questioned. The aim of this study was to reevaluate the accuracy of PETCO2 in estimating PaCO2 during neurosurgical procedures lasting >3 h and to measure the effect of surgical positioning on arterial to end-tidal CO2 gradient (P[a-ET]CO2) over time. One hundred four neurosurgical patients classified into four groups (supine [SP], lateral [LT], prone [PR], sitting [ST]) were included in a prospective study. PaCO2, PETCO2, and P(a-ET)CO2 were measured after induction of anesthesia (T0), after positioning (T1), each following hour (T2, T3, T4), and at the end of the procedure after return to the SP position (T5). Data are expressed as the mean ± SD, and statistical analysis used linear regression, the Bland-Altman method, and analysis of variance. The mean durations of positioning and surgery were 4.1 ± 1 h and 3.7 ± 1.3 h, respectively. We performed 624 simultaneous measurements of PaCO2 (33 ± 5 mm Hg) and PETCO2 (27 ± 4 mm Hg), leading to a mean P(a-ET)CO2 of 6 ± 4 mm Hg. P(a-ET)CO2 of the LT group (7 ± 3 mm Hg) was larger (compared with the SP, PR, and ST groups) because of a lower PETCO2 (26 ± 4 mm Hg). Negative P(a-ET)CO2 (PETCO2 > PaCO2) occurred 22 times, only in the SP (n = 9) and ST groups (n = 13). Changes in opposite directions of PETCO2 and PaCO2 between two successive measurements were found in 26% of the cases. Correlation coefficients in the four groups (PaCO2 versus PETCO2) were not in good agreement (0.46 to 0.62; P < 0.001). The mean bias was between 5 and 7 mm Hg. The superior (13–15 mm Hg) and inferior (-5 to 0 mm Hg) limits of agreement were too large to expect PETCO2 to replace PaCO2. In conclusion, during neurosurgical procedures of >3 h, capnography should be performed with regular analysis of arterial blood gases for optimal ventilator adjustment.

Implications: This study, which aimed to reevaluate the ability of PETCO2 to estimate PaCO2 during neurosurgical procedures according to surgical position, indicates that PETCO2 cannot replace PaCO2 for the following reasons: scattering of individual values; occurrence of negative arterial to end-tidal CO2 gradient (P[a-ET]CO2; PaCO2 and PETCO2 variations in opposite directions; large changes in P(a-ET)CO2 between two samples; and instability of P(a-ET)CO2 over time.


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
Capnography is essential for patient monitoring during general anesthesia. It allows for the detection of life-threatening situations, such as esophageal intubation, ventilator disconnection, alveolar hypoventilation, or pulmonary embolism. In neurosurgical patients, intraoperative hypercapnia (which increases cerebral blood volume due to vasodilation) and deep hypocapnia (which may cause cerebral ischemia) must be detected reliably. Therefore, capnography may be useful to provide an estimate of PaCO2. This is true if the arterial to end-tidal CO2 partial pressure difference (P[a-ET]CO2) remains constant over time. Nevertheless, this assumption has been questioned, especially during long procedures such as neurosurgery (1,2). To our knowledge, the effect of intraoperative position on P(a-ET)CO2 has only been evaluated in patients undergoing renal surgery in the "kidney rest" lateral decubitus position (3).

The aim of this study was to reevaluate the accuracy of PETCO2 in estimating PaCO2 during neurosurgical procedures of >3 h and to measure the effect of surgical positioning on P(a-ET)CO2 over time.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The study was approved by our institutional review board, and informed consent was obtained from all subjects. Between January 1995 and February 1996, 104 patients aged 49 ± 17 yr and weighing 64 ± 13 kg (mean ± SD) undergoing intracranial (n = 82) or spinal (n = 22) procedures were enrolled into an open prospective study. Exclusion criteria included <18 yr of age, preoperative endotracheal intubation, coexisting chronic bronchopulmonary disease, intraoperative venous air embolism, or severe hemodynamic instability. According to the surgical position, patients were classified into four groups: supine (SP; n = 26), lateral (LT; n = 32), prone (PR; n = 24), or sitting (ST; n = 22) position.

The choice of drugs used (total IV anesthesia) was made by the anesthetist. After orotracheal intubation, the lungs were ventilated with a ventilator with a tidal volume of 7.5 mL/kg, a respiratory rate of 16 breaths/min, an inspiratory to expiratory ratio of 0.33, and 50% air in oxygen. In all cases, these ventilatory variables led to an initial PETCO2 <35 mm Hg and a normal shape on the capnograph tracing. After hemodynamic stability was achieved, arterial blood was sampled from a radial catheter. At the same time, PETCO2 was measured (T0, patient SP) at the proximal end of the tracheal tube using a CO2 mainstream capnometer. For each patient, the capnometer was calibrated before use according to manufacturer's specifications. PaCO2 values were analyzed at 37°C and corrected for rectal temperature. Thus, P(a-ET)CO2 was calculated at T0 as the difference between temperature-corrected PaCO2 and PETCO2. Similarly, the following measurements of PaCO2 and PETCO2 were performed after positioning (T1), each subsequent hour (T2, T3, T4), and at the end of the procedure after the patient was returned to the SP position (T5). Patients in the ST position were managed with inflatable leg splints and a positive end-expiratory pressure (PEEP) of 10 cm H2O. In this group, arterial blood gases at T5 were sampled after splint and PEEP withdrawal.

Results are presented as mean ± SD. The normal distribution of values was checked by using a Kolmogorov-Smirnov test. A P value <0.05 was considered significant. The relationship between PaCO2 and PETCO2 was determined using a linear regression and the Bland-Altman method (4), which is becoming the standard when two measurement techniques must be compared. It allows a direct and visual analysis of the results, providing a bias (mean of differences) and limits of agreement (bias ± 2 SD). The precision of the bias was defined as 95% confidence intervals. One-way analysis of variance (ANOVA) was used to compare the SP, LT, PR, and ST groups for the following variables: PaCO2, PETCO2, and P(a-ET)CO2. P(a-ET)CO2 variations over time were analyzed by using ANOVA for repeated measurements. When indicated (P < 0.05), comparison between groups was performed using a projected least significant difference Fisher's test.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The mean durations of positioning and surgery were 4.1 ± 1 and 3.7 ± 1.3 h, respectively. Six hundred twenty-four simultaneous measurements of PaCO2 and PETCO2 were performed (SP group: n = 156; LT group: n = 192; PR group: n = 145; ST group: n = 131). These data were normally distributed. Mean PaCO2, PETCO2, and P(a-ET)CO2 according to intraoperative position are presented in Table 1. There was no difference in PaCO2, PETCO2, and P(a-ET)CO2 among the SP, PR, and ST groups. In the LT group, PETCO2 was lower (26 ± 4 mm Hg; P < 0.05), but PaCO2 was not different. As a result, P(a-ET)CO2 was higher in this group (7 ± 3 mm Hg; P < 0.05). Negative P(a-ET)CO2 values (PETCO2 > PaCO2) were found 22 times (4% of measurements), but only in the PR (n = 9) and ST (n = 13) groups.


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Table 1. Mean PaCO2, PETCO2, and P(a-ET)CO2 Values for Different Surgical Positions
 
Linear regression, as well as Bland-Altman graphs, are shown in Table 2 and Figure 1, respectively. We obtained low correlation coefficients (0.46–0.62), bias between 5 and 7 mm Hg, and large superior (13–15 mm Hg) and inferior (-5 to 0 mm Hg) limits of agreement.


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Table 2. PaCO2 Versus PETCO2
 


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Figure 1. The Bland-Altman method. PaCO2 versus PETCO2 with bias (mean) and limits of agreement (bias ± 2 SD) in the supine, lateral, prone, and sitting groups and for all patients.

 
PETCO2 variations were compared for magnitude and direction of changes in PaCO2 over time (T0 versus T1, T1 versus T2, T2 versus T3, T3 versus T4, and T4 versus T5). Changes in opposite directions (increase in PETCO2 with decrease in PaCO2 and vice versa) were found in 133 (25%) of the 520 values (Fig. 2). These changes occurred more frequently in the ST (34%), LT (29%), and PR (25%) groups (Fig. 2) than in the SP group (15%).



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Figure 2. Comparative changes in PaCO2 ({Delta}PaCO2) and PETCO2 ({Delta}PETCO2) in the supine, lateral, prone, and sitting groups and for all patients.

 
P(a-ET)CO2 variations according to intraoperative position over time are shown in Table 3. P(a-ET)CO2 did not change in the LT and PR groups. However, P(a-ET)CO2 was higher at T0 in the SP group and at T5 in the ST group (P < 0.05). Moreover, large P(a-ET)CO2 variations (defined as >5 mm Hg) between two measurements were found 60 times (11%), including 12 during posi-tioning (T0 versus T1 and T4 versus T5). They were found in 7%, 9%, 12%, and 18% of the measurements in the SP, LT, PR, and ST groups, respectively.


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Table 3. P(a-ET)CO2 Changes Over Time
 

    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
In this study, the mean P(a-ET)CO2 was 6 ± 4 mm Hg. This value is slightly higher than those reported by Nunn and Hill (5) in patients undergoing general surgery (5 ± 2 mm Hg) or by Isert (1) and Sharma et al. (6) in neurosurgical patients (4 ± 4 and 5 ± 2 mm Hg, respectively), patients' position not having been

taken into account. As reported by these authors, large individual variations were observed (-14 to 19 mm Hg). However, most studies dealing with P(a-ET)CO2 have been performed in SP patients (2,711). To our knowledge, Pansard et al. (3) are the only investigators to have studied P(-ET)CO2 in patients in the LT position and to take account of it.

Mean P(a-ET)CO2 in the SP group was 6 ± 3 mm Hg. This value is similar to those reported by Askrog (7) in healthy subjects under general anesthesia (5 ± 2 mm Hg) and Kerr et al. (8) in severely head-injured patients (6 ± 6 mm Hg). However, our values are slightly lower than those reported by Russell and Graybeal (2,10) in neurosurgical patients in the operating room (7 ± 3 mm Hg), as well as in the intensive care unit (7 ± 4 mm Hg). Large individual variations were present in our study (P[a-ET]CO2 values of 0–19 mm Hg) and were comparable to those reported by Russell and Graybeal (2) during neurosurgical procedures (P[a-ET]CO2 values of -1 to 17 mm Hg). In the LT group, the mean P(a-ET)CO2 (7 ± 3 mm Hg) was significantly higher than that in other groups but was comparable to the P(a-ET)CO2 measured by Pansard et al. (3) (8 ± 3 mm Hg) in 35 patients undergoing renal surgery. These results could be explained by alterations in ventilation-perfusion ratios leading to an increase in alveolar dead space and increased P(a-ET)CO2. This hypothesis is enforced by the fact that, in the LT group, increased P(a-ET)CO2 resulted from a low PETCO2, whereas PaCO2 was the same in the four groups.

No data were found in the literature to compare results obtained in the PR and ST groups. Mean P(a-ET)CO2 in ST patients was only 5 ± 5 mm Hg, similar to that measured in the PR group (5 ± 5 mm Hg), although the physiological mechanisms are probably different. Indeed, P(a-ET)CO2 in the ST position was expected to be large (i.e., increase in ventilation-perfusion ratio) because of higher hemodynamic instability related to position and PEEP leading to a decrease in the perfusion component (8). Moreover, the ST position contributes to blood flow redistribution to pulmonary bases and create West's zone I (12) (collapsed pulmonary capillaries with high ventilation-perfusion ratios). However, our ST group included the more scattered values (-14 to 19 mm Hg) and 13 of the 22 negative P(a-ET)CO2 values. This may explain a lower than expected mean P(a-ET)CO2. In the PR position, functional residual capacity, already reduced by general anesthesia (13), further decreases because of increased abdominal pressure and impaired diaphragmatic excursion. This results in ventilation-perfusion heterogeneity with shunt effect (low (P[a-ET]CO2). In our study, other mechanisms were probably involved because the mean P(a-ET)CO2 was larger than expected. Consequently, further study that includes more patients should be conducted in the PR and ST groups. Direct measurements of alveolar dead space, cardiac output, pulmonary flow and ventilation distribution, and CO2 production (and, thus, depth of anesthesia) would be especially relevant.

The mean P(a-ET)CO2 in patients placed in the LT and PR positions did not change during the procedure. In SP patients, P(a-ET)CO2 was lower during surgery than after induction of anesthesia. Intraoperative hypothermia could have played a role by causing a decrease in PaCO2. However, blood gas measurements were corrected for body temperature, which excludes this hypothesis. A decrease in functional residual capacity (and then in P[a-ET]CO2) is present during general anesthesia. It occurs from the start of anesthesia, is immediately maximal, and does not depend on the anesthetic used (13). Why this mechanism may not be involved with the LT, PR, and ST groups is unknown. In ST patients, the mean P(a-ET)CO2 was significantly larger at the end of the operation, when patients were placed back into the SP position. This suggests an increase in alveolar dead space, which could be due to blood volume redistribution to the legs when the inflatable leg splints were removed at the time of the measurement. Despite apparent hemodynamic stability, no definitive conclusion can be made because cardiac output (and, thus, pulmonary blood flow) was not measured.

Several studies have focused on the relationship between PaCO2 and PETCO2, but the duration of the procedure has not been considered in the context of surgical position. Sharma et al. (6) did not report any change in P(a-ET)CO2 in 21 patients undergoing aneurysm or brain tumor surgery of >4 h. Fifteen patients were examined SP, three PR, and three LT. Unfortunately, the authors did not specify patient position in their results, preventing any comparison with our study. Pansard et al. (3) included patients in the LT position (n = 35) undergoing renal surgery (mean duration 102 ± 41 min). After positioning and hemodynamic stability, they reported a significant increase in P(a-ET)CO2 over time, which they explained by ventilation-perfusion heterogeneity with increased alveolar dead space. Large inter- and intraindividual variations were noted, as in our study.

PETCO2 values greater than PaCO2 were observed 22 times (4% of the measurements), and only in the PR and ST groups. This can be compared with results provided by Russell and Graybeal (2), who found only one negative P(a-ET)CO2 value in 35 SP neurosurgical patients. Isert (1) identified negative P(a-ET)CO2 values in 13% of patients undergoing brain surgery, with no mention of intraoperative position.

Unexplained negative P(a-ET)CO2 was first reported by Nunn and Hill in 1960 (5). It was later demonstrated that negative P(a-ET)CO2 is more frequent (<=12% of cases) in patients ventilated with high tidal volumes and low respiratory rates (14,15). Indeed, with such ventilation settings, there is a slow emptying of alveoli with a long time constant. However, this mechanism cannot be accepted. Ventilatory variables were the same in all of our patients. However, PEEP in the ST group could favor the emptying of alveoli with low ventilation-perfusion ratios (16). This assumption is valid only if the pulmonary blood flow remains constant. Negative P(a-ET)CO2 has also been reported in children, during cesarean section and laparoscopies, or after cardiac surgery (11,1720). In pregnant patients, a decrease in functional residual capacity and an increase in cardiac output are responsible for a high frequency of negative P(a-ET)CO2 values (up to 50%). In addition to slow emptying of alveoli with a long time constant, a decrease in functional residual capacity, as well as an increase in CO2 production, have been held responsible for negative P(a-ET)CO2 values in children (18). Finally, during laparoscopic procedures, a further decrease in functional residual capacity is induced by the Trendelenburg position.

Linear regression is the method most frequently used to compare PETCO2 and PaCO2. In our study, poor correlation coefficients were obtained for all the patients and for each of the position groups. This correlation seemed too weak to reliably estimate PaCO2 from PETCO2. The same results are reported by several authors. For example, Russell and Graybeal (2) noted a correlation coefficient of 0.63 in 35 neurosurgical patients. In an intensive care unit values reported by the same team (9) were only slightly better (r2 = 0.71) and were comparable to those observed by Christensen et al. (21). According to Isert (1), PETCO2 can provide a correct estimation of hyper-, normo-, or hypocapnia in only 82% of cases. Because of poor statistical validity of linear regression, the Bland-Altman method is more appropriate when two measurement techniques must be compared. However, the superior (13–15 mm Hg) and inferior (-5 to 0 mm Hg) limits of agreement in our study were too large to expect PaCO2 and PETCO2 to be interchangeable for clinical purposes.

We also looked for large variations of P(a-ET)CO2 between two successive samples—11% varied by >5 mm Hg, especially in the PR and ST groups. Similarly, Isert (1) showed that 18% of the variations were above the threshold of 4 mm Hg. Finally, >25% of all changes in PaCO2 and PETCO2 between two successive samples varied in opposite directions. Similarly, in neurosurgical patients, Russell and Graybeal (2) reported the same pattern in 18.4% of the cases.

Although the mean P(a-ET)CO2 value in our study is similar to values reported in the literature, a reliable estimation of PaCO2 from PETCO2 cannot be made for the following reasons: scattering of individual values as demonstrated by using the Bland-Altman method; occurrence of negative P(a-ET)CO2; PaCO2 and PETCO2 variations in opposite directions; large changes in P(a-ET)CO2 between two samples; and instability of P(a-ET)CO2 over time according to position. As a result, in neurosurgical procedures of >3 h, capnography monitoring should be performed with regular analy- sis of arterial blood gases for ventilator optimal adjustment.


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

  1. Isert P. Control of carbon dioxide levels during neuroanesthesia current practice and an appraisal of our reliance upon capnography. Anaesth Intensive Care 1994;22:435–41.[Web of Science][Medline]
  2. Russell GB, Graybeal JM. The arterial to end-tidal carbon dioxide difference in neurosurgical patients during craniotomy. Anesth Analg 1995;81:806–10.[Abstract]
  3. Pansard JL, Cholley B, Devilliers C, et al. Variation in arterial to end-tidal CO2 tension differences during anesthesia in the "kidney rest" lateral decubitus position. Anesth Analg 1992;75:506–10.[Abstract/Free Full Text]
  4. Bland J, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurement. Lancet 1986;1:307–10.[Web of Science][Medline]
  5. Nunn JF, Hill DW. Respiratory deadspace and arterial to end-tidal CO2 tension difference in anesthetized man. J Appl Physiol 1960;15:383–9.[Abstract/Free Full Text]
  6. Sharma SDK, Glenn P, McGuire MD, Charles JE. Stability of the arterial to end-tidal carbon dioxide difference during anaesthesia for prolonged neurosurgical procedures. Can J Anaesth 1995;42:498–503.[Web of Science][Medline]
  7. Askrog V. Changes in (a-A) CO2 difference and pulmonary artery pressure in anesthetized man. J App Physiol 1966;21:1299–305.[Free Full Text]
  8. Kerr ME, Zempsky J, Sereika S, et al. Relationship between arterial carbon dioxide and end-tidal carbon dioxide in mechanically ventilated adults with severe head trauma. Crit Care Med 1996;24:785–90.[Web of Science][Medline]
  9. Russell GB, Graybeal JM. Reliability of the arterial to end-tidal carbon dioxide gradient in mechanically ventilated patients with multisystem trauma. J Trauma 1994;36:317–22.[Web of Science][Medline]
  10. Russell GB, Graybeal JM. End-tidal carbon dioxide as an indicator of arterial carbon dioxide in neurointensive care patients. J Neurosurg Anesthesiol 1992;4:245–9.
  11. Shankar KB, Moseley H, Kumar AY, Vemula V. Arterial to end-tidal carbon dioxide tension difference during caesarean section anaesthesia. Anaesthesia 1986;41:698–702.[Web of Science][Medline]
  12. West JB. Respiratory physiology: the essentials. Baltimore:Williams & Wilkins, 1990.
  13. Hedenstierna G. Gas exchange during anesthesia. Br J Anaesth 1990;64:507–14.[Free Full Text]
  14. Fletcher R, Jonson B. Deadspace and the single breath test for carbon dioxide during anaesthesia and artificial ventilation. Br J Anaesth 1984;56:109–19.[Abstract/Free Full Text]
  15. Fletcher R, Jonson B, Cumming G, Brew J. The concept of deadspace with special reference to the single breath test for carbon dioxide. Br J Anaesth 1981;53:77–88.[Abstract/Free Full Text]
  16. Shankar KB, Moseley H, Kumar AY. Capnometry and anaesthesia. Can J Anaesth 1992;39:617–32.[Web of Science][Medline]
  17. Brampton WJ, Watson RJ. Arterial to end-tidal carbon dioxide tension difference during laparoscopy. Anaesthesia 1990;45:210–4.[Web of Science][Medline]
  18. Rich GF, Sconzo JM. Continuous end-tidal CO2 sampling within the proximal endotracheal tube estimates arterial CO2 tension in infants. Can J Anaesth 1991;38:201–3.[Web of Science][Medline]
  19. Russell GB, Graybeal JM, Strout JC. Stability of arterial to end-tidal carbon dioxide gradients during postoperative cardiorespiratory support. Can J Anesth 1990;37:560–6.[Web of Science][Medline]
  20. Wahba RWM, Mamazza J. Ventilatory requirements during laparoscopic cholecystectomy. Anaesth 1993;40:206–10.
  21. Christensen MA, Bloom J, Sutton KR. Comparing arterial and end-tidal carbon dioxide values in hyperventilated neurosurgical patients. Am J Crit Care 1995;4:116–21.
Accepted for publication September 29, 1998.




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Lippincott, Williams & Wilkins Anesthesia & Analgesia® is published for the International Anesthesia Research Society® by Lippincott Williams & Wilkins with the assistance of Stanford University Libraries' HighWire Press®. Copyright 2006 by the International Anesthesia Research Society. Online ISSN: 1526-7598   Print ISSN: 0003-2999 HighWire Press