JOURNAL HOME CME HOME THIS MONTH PAST ISSUES ETOC COLLECTIONS
AUTHORS REVIEWERS EDITORIAL BOARD FEEDBACK RSS HELP
A&A International Anesthesia Research Society
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (12)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Tibble, R. K.
Right arrow Articles by Mahajan, R. P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tibble, R. K.
Right arrow Articles by Mahajan, R. P.
Anesth Analg 2001;93:171-176
© 2001 International Anesthesia Research Society


NEUROSURGICAL ANESTHESIA

A Comparison of the Transient Hyperemic Response Test and the Static Autoregulation Test to Assess Graded Impairment in Cerebral Autoregulation During Propofol, Desflurane, and Nitrous Oxide Anesthesia

Rachel K. Tibble, FRCA, Keith J. Girling, FRCA, and Ravi P. Mahajan, FFARCSI

University Department of Anaesthesia and Intensive Care, Queen’s Medical Centre and City Hospital NHS Trust, Nottingham, United Kingdom

Address correspondence and reprint requests to Dr. R. P. Mahajan, University Department of Anaesthesia and Intensive Care, Queen’s Medical Centre, Nottingham, UK, NG7 2UH. Address e-mail to Ravi.Mahajan{at}nottingham.ac.uk


    Abstract
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

Implications: When compared with the established test of static autoregulation, thetransient hyperemic response test provides a valid method for assessing gradedimpairment in cerebral autoregulation.


    Introduction
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
The assessment of cerebral autoregulation is becoming increasingly important in research and for the monitoring of the prognosis of patients with intracranial pathology and the severity of their condition. Impaired autoregulation is associated with an unfavorable outcome after head injury (1,2), an increased risk of late ischemia insults after surgery for subarachnoid hemorrhage (3,4), and an impaired response to therapeutic interventions aimed at treating intracranial hypertension (5).

Traditionally, cerebral autoregulation is assessed by measuring cerebral blood flow (CBF) during changes in cerebral perfusion pressure (or mean arterial pressure [MAP], assuming normal intracranial pressure) (6). CBF is first measured at a steady-state baseline MAP and then again after manipulation of MAP to other steady-state levels (68). Because CBF measurements are made after achieving steady-state MAP, this test is suggested to assess "static autoregulation" (7,8). Since the introduction of transcranial Doppler (TCD) ultrasound, CBF can be estimated by measuring red blood cell flow velocity (FV) in the middle cerebral artery (MCA) to assess static autoregulation (8).

Other methods that use TCD for the assessment of cerebral autoregulation have been described (8). The transient hyperemic response (THR) test involves measurement of changes in MCA FV during and after the release of a brief compression of the ipsilateral common carotid artery (9). If cerebral autoregulation is intact, the decrease in perfusion pressure in the MCA at the onset of compression would trigger vasodilatation in the distal vascular bed; this would transiently increase the CBF (and therefore MCA FV) after the release of compression (10). The THR test is reproducible and reliable (11,12). It also offers the advantages of avoiding the manipulation of systemic blood pressure, being simple to perform and allowing repeated measurements.

Although the THR test has been used as a surrogate measure of cerebral autoregulation, no previous studies have compared this test with the static autoregulation test. Therefore, in the strictest sense, the THR test has not been validated against traditional concepts of autoregulation. This study aimed to compare the THR test with the static autoregulation test during graded impairment of cerebral autoregulation induced by incremental concentrations of desflurane.


    Methods
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
After ethics committee approval and written, informed consent were obtained, seven patients were recruited to the study. They were all nonsmokers, ASA physical status I or II, aged between 18 and 45 yr, and undergoing elective, nonneurologic surgery. Patients were excluded if they were overweight, had any evidence of cardiovascular or cerebral disease, or were taking any vasoactive medications.

All subjects were studied in the supine position, each with his or her head on one pillow. The study was performed in the anesthetic room before surgery. The left MCA was insonated with a 2-MHz TCD ultrasound probe (Scimed QVL120; Scimed, Bristol, UK). The standard criteria were used to identify the MCA FV trace (11,13). The probe was fixed in position by using a custom-made headband to maintain a constant angle of insonation during the study. A continuous recording of MCA FV was stored on digital audiotape for subsequent analysis. IV access was secured, and monitoring was initiated with electrocardiogram, noninvasive blood pressure measurement, and pulse oximetry. MAP was measured at 2-min intervals, and end-tidal carbon dioxide partial pressure (PETCO2) was measured continuously with a Capnomac Ultima monitor (Datex-Ohmeda, Helsinki, Finland), which was also used for all other end-tidal gas analysis.

Cerebral autoregulation was assessed with the THR test and the static autoregulation test. At least two THR tests were performed by using a 10-s compression of the ipsilateral common carotid artery. A period of 2 min was allowed between the tests. The static autoregulation test was then performed. The MCA FV was measured over a period of 2 min at baseline MAP and again after the MAP was increased to a second steady-state level, at least 15% above baseline. A phenylephrine infusion (20 µg/mL in saline IV) was used to increase MAP. All measurements were taken at steady state, which was defined as <10% fluctuation in MAP, heart rate, and PETCO2, 5 min before and during the measurements.

Before the induction of anesthesia, patients were sedated with a target-controlled infusion of IV propofol to reach a calculated target blood concentration of 1 µg/mL, which was continued throughout the study. Baseline measurements of cerebral autoregulation were made while patients were sedated. Anesthesia was induced by increasing the calculated target blood concentration of IV propofol to 8 µg/mL. In addition, fentanyl 1 µg/kg IV and vecuronium 0.1 mg/kg IV were given. The trachea was intubated, and ventilation of the lungs was controlled to maintain PETCO2 at preinduction levels. The propofol infusion rate was reduced to background levels of 1 µg/mL immediately after intubation, and further measurements of cerebral autoregulation resumed only when calculated concentrations reached <2 µg/mL, usually within 10–15 min after the induction of anesthesia. Anesthesia was maintained with desflurane in 50% oxygen and nitrous oxide. Phenylephrine was used to maintain MAP at the preinduction baseline level. After at least 10 min of equilibration at end-tidal desflurane concentrations of 0.5 minimum alveolar anesthetic concentration (MAC) (3.6%) and then 1.5 MAC (10.8%), cerebral autoregulation was reassessed with both the THR tests and the static autoregulation test.

The methods of processing TCD data have been described previously (12). The THR tests were accepted only if they met strict criteria. These were sudden and maximal decrease in the MCA FV at the onset of compression, no flow transients (associated with inertia or volume compliance) after the release of compression (14), and no change in the power of the reflected Doppler signal during the test.

For analysis, three wave forms were chosen: F1, the wave form immediately preceding the compression; F2, that immediately after the compression; and F3, that immediately after the release of compression. The time-averaged mean of the outer envelope of the FV wave form was used in all calculations. Two indices of cerebral autoregulation were derived—the THR ratio (THRR) and the strength of autoregulation (SA), calculated as follows R09:

equation


and

equation


where P2 is the estimated pressure in the MCA at the onset of compression and is derived with the formula P2 = (MAP x F2)/F1 or the value of 60 mm Hg (the assumed lower limit of autoregulation), whichever is the greater (11,12,15).

Under normal physiologic conditions the mean (SD) values for THRR and SA are 1.35 (0.09) and 0.93 (0.06), respectively (16). A change of 1.5 SD, similar to that produced by a 7.5 mm Hg change in PETCO2 (12), was considered significant. The magnitude of decrease in MCA FV during compression, the compression ratio (CR), was calculated from the following formula:

equation


Static autoregulation was assessed with a previously described index called the static rate of regulation (sROR). This was calculated as the following:

equation


where {Delta}CVR is the change in cerebrovascular resistance (CVR), as calculated by CVR = MAP/MCA FV, and {Delta}MAP is the change in MAP (17). The average of 20 MCA FV wave forms recorded during each steady-state level of MAP was used for analysis. In theory, sROR can range from 0% to 100%; a value >60% indicates normal autoregulation, and a value <40% indicates significantly impaired autoregulation (8).

The mathematical averages of THRR, SA, and CR derived from the two THR tests, at each stage of study, were taken for statistical analysis. The changes in sROR, THRR, SA, MAP, and PETCO2 were analyzed with analysis of variance for repeated measures, and P < 0.05 was considered significant. Pearson’s correlation test was used to correlate SA and sROR and also THRR and sROR, and P < 0.05 was considered significant. The sensitivity of THRR or SA to detect impairment in cerebral autoregulation was calculated with this formula: sensitivity = true-positive tests/(true-positive tests + false-negative tests).

A change in THRR or SA in the same direction as sROR was considered a true-positive test, whereas no change or a change in the opposite direction was considered a false-negative test. The specificity of the THR test could not be calculated because the experiment was not designed to detect false-positive tests.


    Results
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
All results are mean (SD) unless otherwise stated. Five female and two male patients, aged 33 (6) yr, weighing 71 (18) kg, were recruited into the study.

Baseline PETCO2 ranged from 28.5 to 40.5 mm Hg, but it changed by <3 mm Hg in each individual patient throughout the study. In every patient phenylephrine was used for manipulation of MAP, both to maintain preinduction baseline MAP during anesthesia and to increase MAP to the second steady-state level for the static autoregulation test. The total amount of phenylephrine used for each patient varied between 1.8 and 8 mg.

Four THR tests were rejected at the time of the study for not fulfilling the criteria described in Methods, and these THR tests were then repeated. Preinduction values of all the autoregulatory indices were within the normal limits (Tables 1 and 2). For the assessment of static autoregulation, the increase in MAP achieved was similar at three stages of the study (Table 1). The sROR showed a graded impairment in cerebral autoregulation with incremental concentrations of desflurane (P < 0.001) (Table 1, Fig. 1). Both autoregulatory indices of the THR tests, THRR and SA, also decreased in a graded manner with incremental concentrations of desflurane (P < 0.001) (Table 2, Figs. 1 and 2). The changes in sROR were reflected by the changes in THRR or SA (Figs. 1 and 2). Every decrease in sROR in each subject was detected by a decrease in THRR or SA; this resulted in 100% sensitivity with which the THR test was able to detect graded impairment of cerebral autoregulation. A correlation was found between sROR and THRR (r = 0.68; P < 0.001) and between sROR and SA (r = 0.73; P < 0.001) (Fig. 3).


View this table:
[in this window]
[in a new window]
 
Table 1. Mean (sd) of Static Rate of Regulation (sROR)
 


View larger version (18K):
[in this window]
[in a new window]
 
Figure 1. Mean (SD) of the static rate of regulation (sROR) and the transient hyperemic response ratio (THRR). Changes in sROR were reflected by the changes in THRR at 0.5 and 1.5 MAC (minimum alveolar anesthetic concentration) of desflurane (P < 0.001). Pre-ind = before the induction of anesthesia.

 

View this table:
[in this window]
[in a new window]
 
Table 2. Mean (sd) of Transient Hyperemic Response Ratio (THRR) and Strength of Autoregulation (SA)
 


View larger version (16K):
[in this window]
[in a new window]
 
Figure 2. Mean (SD) of the static rate of regulation (sROR) and the strength of autoregulation (SA). Changes in sROR were reflected by the changes in SA at 0.5 and 1.5 MAC (minimum alveolar concentration) of desflurane (P < 0.001). Pre-ind = before the induction of anesthesia.

 


View larger version (12K):
[in this window]
[in a new window]
 
Figure 3. Correlation between the static rate of regulation (sROR) and the strength of autoregulation (SA) (P < 0.001). The values from seven volunteers at three different stages of desflurane anesthesia (MAC = minimum alveolar concentration) were pooled to calculate the coefficient of correlation.

 

    Discussion
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 
A "gold standard" for the assessment of cerebral autoregulation is not available, and there is considerable disparity in methods and criteria (8). Also, different tests assess different aspects of autoregulation. This is understandable because cerebral autoregulation is essentially a concept rather than a physically measurable entity (8). Of the TCD methods, the static autoregulation test, Aaslid’s thigh-cuff method for the assessment of dynamic regulation, and the THR test are often used for the assessment of the effects of anesthetics on cerebral autoregulation (1720). However, it is unclear whether the different approaches are interchangeable.

This study assessed the validity of the indices of autoregulation derived from the THR test when compared with an established method of evaluating static autoregulation. Desflurane, an anesthetic known to impair cerebral autoregulation, was used in increments to induce graded impairment in cerebral autoregulation (17). We have shown that the indices from both the THR test and the static autoregulation test follow the same trends, with a significant stepwise decrease from preinduction values to the values at 0.5 MAC and then at 1.5 MAC desflurane.

There are theoretical concerns with comparing the THR test with the static autoregulation test. The principle behind the THR test is to physically produce a transient decrease in perfusion pressure in the MCA territory, whereas the static autoregulation test relies on pharmacologic manipulation of MAP and a global increase in cerebral perfusion pressure. Theoretically the two tests assess slightly different aspects of cerebral autoregulation, which in itself is a complex phenomenon (8). Static tests assess the gradient of the autoregulatory plateau, whereas the THR test assesses both the gradient and the width of the autoregulatory plateau (12,15). In theory, both THRR and SA may be altered significantly if the limits of autoregulation change, even if the gradient of the plateau remains unaltered. Direct comparison of both SA with sROR and THRR with sROR demonstrated significant linear correlation, indicating that results from the two tests were comparable despite these theoretical concerns.

The effects of desflurane have been assessed by Strebel et al. (17). They compared sROR with the dynamic rate of regulation from the thigh-cuff deflation method of assessment of cerebral autoregulation during the administration of desflurane with 70% nitrous oxide in oxygen with a 3 µg/kg fentanyl infusion. Values for sROR at 0.5 MAC of desflurane and at 1.5 MAC of desflurane were comparable to the values obtained in this study, although we used 50% nitrous oxide in oxygen and a propofol infusion at 1 µg/mL with the administration of desflurane. We continued the propofol infusion throughout the study because in the preliminary trials of the feasibility of this study, we found that the coadministration of small quantities of propofol attenuated the desflurane-induced swings in MAP.

No previous studies have compared the THR test with the test of static autoregulation. Smielewski et al. (11) compared the THR test, by using THRR as the index of autoregulation, with the thigh-cuff method to assess dynamic autoregulation. The thigh-cuff method essentially assesses the speed of autoregulation. Smielewski et al. (11) found a significant correlation between the dynamic rate of regulation and THRR (r = 0.86). However, they regard THRR to be a qualitative indicator of autoregulation, with a value <1.09 indicating poor autoregulation. This is because, in the THR test, the magnitude of decrease in MCA FV at the onset of compression or CR, which serves as the stimulus to autoregulation, is not taken into consideration when calculating the THRR. Cavill et al. (21) have shown that CR has a strong influence on the value of THRR. In theory, changes in MAP can also influence THRR (12,15). Therefore, changes in THRR can be taken to indicate quantitative changes in cerebral autoregulation only if CR and MAP remain unchanged.

Mathematically, SA is the THRR normalized for the estimated change in MCA blood pressure (to the point of the lower limit for autoregulation) at the onset of compression (12). Therefore, changes in MAP or CR should not affect the value of SA. A previous study has shown that SA has better reproducibility as compared with THRR (12). This may explain the slightly higher correlation between SA and sROR than that between THRR and sROR in this study. The theoretical range of SA has been suggested to lie between 0.7 and 1.0; SA = 1.0 is ideal, whereas a value <0.80 would suggest poor autoregulation (12,15). Similarly sROR can range between 0% and 100%, with a value <40% suggesting poor autoregulation (8). In this study, all the indices of autoregulation, THRR, SA, and sROR showed that cerebral autoregulation was normal at preinduction, poor at 1.5 MAC desflurane, and between normal and poor at 0.5 MAC desflurane. Any further quantitative comparison between the indices of two tests, in our opinion, would be inappropriate. This is because, at this stage, it is unclear whether the ranges of different indices of autoregulation from different tests are linearly related to the degree of impairment in autoregulation.

One of the limitations in our study is the use of noninvasive blood pressure monitoring with the potential for variation in MAP between the readings that were taken at 2-min intervals during the static autoregulation test. We defined steady state when the changes in successive MAP measurements, heart rate, and PETCO2 were <10% from the baseline. Because we strictly adhered to these criteria, it is unlikely that a significant change in MAP occurred while we recorded MCA FV during steady state.

The use of TCD to measure MCA FV as an estimate of CBF is valid only if there is no change in the diameter of the vessel being assessed. Matta and Lam1 suggest that desflurane does not appreciably alter the diameter of the MCA. Also, other investigators have shown that MCA diameter does not change when autoregulation tests are performed that involve stepwise changes in arterial pressure (14,22,23). We did not note any change in the power of the reflected TCD signal during the study period, indicating that changes in MCA diameter, if any, were insignificant.

The measurement of PETCO2 may not correspond to the arterial partial pressure of CO2 (PaCO2), which influences cerebral autoregulation (1113). The patients in this study were all healthy, ASA grade I or II, in whom PETCO2 would have approximated PaCO2. However, it is possible that the gradient may have altered during the study. Because the individual variations in PETCO2 from the baseline during each test were not significant and each subject was his/her own control, we believe that the differences in the gradient between PETCO2 and PaCO2 would have affected each of the indices equally.

We allowed a period of 10 minutes to ensure adequate equilibration of desflurane at 0.5 MAC and then at 1.5 MAC. Because the blood-brain partition coefficient for desflurane is 1.3, it has an equilibration time constant of 2.6 (partition coefficient x 100/CBF, where CBF is 50 mL/100 g brain tissue per minute) (24,25). Thus, in all our patients, we waited for at least three times the length of the time constant, allowing >95% equilibration.

We did not randomize the sequence of receiving 0.5 MAC or 1.5 MAC desflurane because our primary object was not to test the effects of different concentrations of desflurane on cerebral autoregulation per se, but rather to assess whether changes in cerebral autoregulation as assessed by the static autoregulation test were reflected in changes assessed by the THR test. We also did not randomize the sequence of the two tests. The order of the tests (i.e., the THR test before the static autoregulation test) was selected to minimize the total time taken for the study, because restabilizing the MAP to the preinduction baseline level after manipulating it for the static autoregulation test can be time-consuming. Because both the tests were performed under exactly the same experimental conditions after allowing >95% equilibration with desflurane, it is unlikely that changing the order of tests would have had a significant effect on the results of this study.

In conclusion, we have shown that the THR test is a valid method of assessing graded impairment in cerebral autoregulation when compared with the assessment by the established test of static autoregulation in patients with no intracranial pathology.


    Acknowledgments
 
The transcranial Doppler equipment was bought from a project grant from the Association of Anaesthetists of Great Britain and Ireland.


    Footnotes
 
Presented in part at the Anaesthetic Research Society meeting, Edinburgh, United Kingdom, November, 1999, and subsequently published as an abstract in the British Journal of Anaesthesia.

The transient hyperemic response (THR) test has been used to assess cerebral autoregulation in anesthesia and intensive care. To date it has not been compared with the static autoregulation test for assessing graded changes in cerebral autoregulation. We compared the two tests during propofol, desflurane, and nitrous oxide anesthesia. Seven subjects were studied. For the THR test, changes in the middle cerebral artery blood flow velocity were assessed during and after a 10-s compression of the ipsilateral common carotid artery. Two indices of autoregulation—THR ratio (THRR) and strength of autoregulation (SA)—were calculated. For the test of static autoregulation, changes in the middle cerebral artery flow velocity after a phenylephrine-induced increase in mean arterial pressure were assessed, and the static rate of regulation (sROR) was calculated. The tests were performed before induction and after equilibration at 0.5 minimum alveolar anesthetic concentration (MAC) and then at 1.5 MAC of desflurane. THRR, SA, and sROR decreased significantly (P < 0.001) at 0.5 MAC and then at 1.5 MAC desflurane. Changes in THRR and SA reflected the changes in sROR with a sensitivity of 100%.

1Matta BF, Lam AM. Isoflurane and desflurane do not dilate the middle cerebral artery appreciably. [abstract]. Br J Anaesth 1995;74:486P. Back


    References
 Top
 Abstract
 Introduction
 Methods
 Results
 Discussion
 References
 

  1. Czosnyka M, Smielewski P, Kirkpatrick P, et al. Monitoring of cerebral autoregulation in head-injured patients. Stroke 1996; 27: 1829–34.[Abstract/Free Full Text]
  2. Smielewski P, Czosnyka M, Kirkpatrick P, Pickard JD. Evaluation of the transient hyperemic response test in head-injured patients. J Neurosurg 1997; 86: 773–8.[Web of Science][Medline]
  3. Lovick AJ, Pickard JD, Goddard BA. Prediction of late ischaemic complications after cerebral aneurysmal surgery: use of mobile microcomputer system for measurement of pre, intra, and post operative cerebral blood flow. Acta Neurochir (Wien) 1982; 63: 37–49.[Medline]
  4. Pickard JD, Mathieson JD, Patterson J, Wyper D. Prediction of late ischaemic complications after cerebral aneurysm surgery by intraoperative measurement of cerebral blood flow. J Neurosurg 1980; 53: 305–8.[Web of Science][Medline]
  5. Muizelaar JP, Lutz HA III, Becker DP. Effect of mannitol on ICP and CBF and correlation with pressure autoregulation in severely head-injured patients. J Neurosurg 1984; 61: 700–6.[Web of Science][Medline]
  6. Paulson OB, Strandgaard S, Edvinsson L. Cerebral autoregulation. Cerebrovasc Brain Metab Rev 1990; 2: 161–92.[Web of Science][Medline]
  7. Tieks FP, Lam AM, Aaslid R, Newell DW. Comparison of static and dynamic cerebral autoregulation measurements. Stroke 1995; 26: 1014–9.[Abstract/Free Full Text]
  8. Panerai RB. Assessment of cerebral pressure autoregulation in humans: a review of measurement methods. Physiol Meas 1998; 19: 305–38.[Web of Science][Medline]
  9. Giller CA. A bedside test for cerebral autoregulation using transcranial Doppler ultrasound. Acta Neurochir (Wien) 1991; 108: 7–14.[Medline]
  10. Czosnyka M, Pickard J, Whitehouse H, Piechnik S. The hyperaemic response to a transient reduction in cerebral perfusion pressure: a modelling study. Acta Neurochir 1992; 115: 90–7.[Medline]
  11. Smielewski P, Czosnyka M, Kirkpatrick P, et al. Assessment of cerebral autoregulation using carotid artery compression. Stroke 1996; 27: 2197–203.[Abstract/Free Full Text]
  12. Mahajan RP, Cavill G, Simpson EJ. Reliability of the transient hyperaemic response test in detecting changes in cerebral autoregulation induced by graded variations in end-tidal carbon dioxide. Anesth Analg 1998; 87: 843–9.[Abstract/Free Full Text]
  13. Aaslid R, Lindegaard KF, Sorteberg W, Nornes H. Cerebral autoregulation dynamics in humans. Stroke 1989; 20: 45–52.[Abstract/Free Full Text]
  14. Aaslid R, Newell DW, Stoos R, et al. Assessment of cerebral autoregulation dynamics from simultaneous arterial and venous transcranial Doppler recordings in humans. Stroke 1991; 22: 1148–54.[Abstract/Free Full Text]
  15. Mahajan RP, Cavill G, Simpson EJ, Hope DT. Transient hyperaemic response: a quantitative assessment. In: Klingelhofer J, Bartels E, Ringelstein EB, eds. New trends in cerebral haemodynamics and neurosonology. Amsterdam: Elsevier Science B.V., 1997: 618–23.
  16. Bowie RA, Mahajan RP. Effect of magnitude of the decrease in middle cerebral artery flow velocity during the hyperaemic response test on calculated indices of autoregulation [abstract]. Br J Anaesth 1999; 83: 187P.
  17. Strebel S, Lam AM, Matta B, et al. Dynamic and static autoregulation of cerebral blood flow velocity during isoflurane, desflurane and propofol anesthesia. Anesthesiology 1995; 83: 66–76.[Web of Science][Medline]
  18. Girling KJ, Cavill G, Mahajan RP. The effects of nitrous oxide and oxygen on transient hyperemic response in human volunteers. Anesth Analg 1999; 89: 175–80.[Abstract/Free Full Text]
  19. Bedforth NM, Girling K, Harrison JM, Mahajan RP. The effects of sevoflurane and nitrous oxide on middle cerebral artery blood flow velocity and transient hyperaemic response. Anesth Analg 1999; 89: 170–4.[Abstract/Free Full Text]
  20. Summors AC, Gupta AK, Matta BF. Dynamic cerebral autoregulation during sevoflurane anesthesia: a comparison with isoflurane. Anesth Analg 1999; 88: 341–5.[Abstract/Free Full Text]
  21. Cavill G, Simpson EJ, Mahajan RP. Factors affecting the assessment of cerebral autoregulation using the transient hyperaemic response test. Br J Anaesth 1998; 81: 317–21.[Abstract/Free Full Text]
  22. Newell DW, Aaslid R, Lam A, et al. Comparison of flow and velocity during dynamic autoregulation testing in humans. Stroke 1994; 25: 793–7.[Abstract]
  23. Giller CA, Bowman G, Dyer H, Mootz L, Krippner W. Cerebral arterial diameters during changes in blood pressure and carbon dioxide during craniotomy. Neurosurgery 1993; 32: 737–42.[Web of Science][Medline]
  24. Eger EI II. Uptake and distribution. In: Miller RD, ed. Anesthesia. 4th ed. New York: Churchill Livingstone, 1994: 102.
  25. Stoelting RK. Pharmacokinetics and pharmacodynamics of injected and inhaled drugs. In: Stoelting RK, ed. Pharmacology and physiology in anesthetic practice. Philadelphia: JB Lippincott Co, 1987: 26.
Accepted for publication February 28, 2001.




This article has been cited by other articles:


Home page
J. Appl. Physiol.Home page
G. F. A. Jansen, A. Krins, B. Basnyat, J. A. Odoom, and C. Ince
Role of the altitude level on cerebral autoregulation in residents at high altitude
J Appl Physiol, August 1, 2007; 103(2): 518 - 523.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
L. A. Steiner and P. J. D. Andrews
Monitoring the injured brain: ICP and CBF
Br. J. Anaesth., July 1, 2006; 97(1): 26 - 38.
[Abstract] [Full Text] [PDF]


Home page
Anesth. Analg.Home page
G. T. Wong, I. Luginbuehl, C. Karsli, and B. Bissonnette
The effect of sevoflurane on cerebral autoregulation in young children as assessed by the transient hyperemic response.
Anesth. Analg., April 1, 2006; 102(4): 1051 - 1055.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
J. C. Diephuis, K. G. M. Moons, A. N. Nierich, M. Bruens, D. van Dijk, and C. J. Kalkman
Jugular bulb desaturation during coronary artery surgery: a comparison of off-pump and on-pump procedures
Br. J. Anaesth., June 1, 2005; 94(6): 715 - 720.
[Abstract] [Full Text] [PDF]


Home page
Anesth. Analg.Home page
P. D. Marval, M. E. Perrin, S. M. Hancock, and R. P. Mahajan
The Effects of Propofol or Sevoflurane on the Estimated Cerebral Perfusion Pressure and Zero Flow Pressure
Anesth. Analg., March 1, 2005; 100(3): 835 - 840.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
I. K. Moppett and R. P. Mahajan
Transcranial Doppler ultrasonography in anaesthesia and intensive care
Br. J. Anaesth., November 1, 2004; 93(5): 710 - 724.
[Full Text] [PDF]


Home page
StrokeHome page
L. A. Steiner, J. P. Coles, A. J. Johnston, D. A. Chatfield, P. Smielewski, T. D. Fryer, F. I. Aigbirhio, J. C. Clark, J. D. Pickard, D. K. Menon, et al.
Assessment of Cerebrovascular Autoregulation in Head-Injured Patients: A Validation Study
Stroke, October 1, 2003; 34(10): 2404 - 2409.
[Abstract] [Full Text] [PDF]


Home page
Anesth. Analg.Home page
L. A. Steiner, A. J. Johnston, D. A. Chatfield, M. Czosnyka, M. R. Coleman, J. P. Coles, A. K. Gupta, J. D. Pickard, and D. K. Menon
The Effects of Large-Dose Propofol on Cerebrovascular Pressure Autoregulation in Head-Injured Patients
Anesth. Analg., August 1, 2003; 97(2): 572 - 576.
[Abstract] [Full Text] [PDF]


Home page
Br J AnaesthHome page
V. L. Webster and R. P. Mahajan
Transient hyperaemic response to assess vascular reactivity of skin; effect of locally iontophoresed sodium nitroprusside{dagger}
Br. J. Anaesth., August 1, 2002; 89(2): 265 - 270.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a colleague
Right arrow Similar articles in this journal
Right arrow Similar articles in Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrowRequest Permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Web of Science (12)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Tibble, R. K.
Right arrow Articles by Mahajan, R. P.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Tibble, R. K.
Right arrow Articles by Mahajan, R. P.


Lippincott, Williams & Wilkins Anesthesia & Analgesia® is published for the International Anesthesia Research Society® by Lippincott Williams & Wilkins and Stanford University Libraries' HighWire Press®. Copyright 2001 by the International Anesthesia Research Society. Online ISSN: 1526-7598   Print ISSN: 0003-2999 HighWire Press