medigraphic.com
SPANISH

Revista Mexicana de Anestesiología

ISSN 3061-8142 (Electronic)
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • Policies
    • Políticas éticas
    • Políticas editoriales generales
    • Políticas de revisión de manuscritos
    • Políticas de acceso abierto
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2026, Number 3

<< Back Next >>

Rev Mex Anest 2026; 49 (3)

Beyond MAC: effect-guided anesthetic titration using electroencephalography

Serna-Muñoz R, Jaramillo-Magaña JJ
Full text How to cite this article 10.35366/123594

DOI

DOI: 10.35366/123594
URL: https://dx.doi.org/10.35366/123594

Language: Spanish
References: 87
Page: 176-186
PDF size: 2204.69 Kb.


Key words:

electroencephalography, general anesthesia, anesthetic depth, minimum alveolar concentration, pharmacokinetics.

ABSTRACT

Minimum alveolar concentration (MAC) is a useful population metric of inhaled anesthetic potency, yet it primarily predicts immobility and does not ensure unconsciousness. Real intraoperative physiology challenges end-tidal assumptions: ventilation-perfusion heterogeneity, shunt, dead space, and hemodynamic variability can decouple end-tidal concentration from arterial and brain partial pressures, leading to under- or overestimation of cortical effect. In balanced anesthesia, opioids and neuromuscular blockade further dissociate immobility from hypnosis, increasing the risk of inadequate cortical suppression despite apparent clinical stability. Electroencephalography (EEG), both raw and processed, offers continuous monitoring of cortical dynamics and supports effect-guided titration. Avoiding iatrogenic burst suppression is clinically relevant given its association with adverse outcomes. This manuscript argues for reframing anesthetic goals beyond MAC by integrating MAC-based context, lung–blood–brain pharmacokinetics, and EEG-derived indices and spectral metrics to individualize dosing, minimize extremes of exposure, and improve patient safety across heterogeneous surgical populations.


REFERENCES

  1. Chaturvedi R, Gogna RL. Ether day: an intriguing history. Med J Armed Forces India. 2011;67:306-308.

  2. Guedel AE. Inhalation anesthesia: a fundamental guide. New York: The Macmillan Company; 1937.

  3. Griffith HR, Johnson GE. The use of curare in general anesthesia. Anesthesiology. 1942;3:418-421.

  4. Russell IF. Fourteen fallacies about the isolated forearm technique, and its place in modern anaesthesia. Anaesthesia. 2013;68:677-681.

  5. Eger EI, Saidman LJ, Brandstater B. Minimum alveolar anesthetic concentration: a standard of anesthetic potency. Anesthesiology. 1965;26:756-763.

  6. Aranake A, Mashour GA, Avidan MS. Minimum alveolar concentration: ongoing relevance and clinical utility. Anaesthesia. 2013;68:512-522.

  7. Egan TD. Are opioids indispensable for general anaesthesia? Br J Anaesth. 2019;122:e127-e135.

  8. Dundee JW. Fifty years of thiopentone. Br J Anaesth. 1984;56:211-213.

  9. Wood Library-Museum of Anesthesiology. Thiopental [Internet]. Schaumburg (IL): Wood Library-Museum of Anesthesiology; [cited 2026 Feb 14].

  10. Jarman R. History of intravenous anaesthesia with ten years' experience in the use of pentothal sodium. Postgrad Med J. 1946;22:311-318.

  11. Kay B, Rolly G. I.C.I. 35868, a new intravenous induction agent. Acta Anaesthesiol Belg. 1977;28:303-316.

  12. Langley MS, Heel RC. Propofol. A review of its pharmacodynamic and pharmacokinetic properties and use as an intravenous anaesthetic. Drugs. 1988;35:334-372.

  13. Xiao Y, Jin X, Zhang Y, Huang T, Zhou L, Gao J. Efficacy of propofol for the prevention of emergence agitation after sevoflurane anaesthesia in children: a meta-analysis. Front Surg. 2022;9:1031010.

  14. Nora FS. Total intravenous anesthesia as a target-controlled infusion: an evolutive analysis. Rev Bras Anestesiol. 2008;58:179-192.

  15. Struys MMRF, De Smet T, Glen JI, Vereecke HEM, Absalom AR, Schnider TW. The history of target-controlled infusion. Anesth Analg. 2016;122:56-69.

  16. Peyton PJ. Accuracy of two-compartment modeling of gas exchange with ventilation-perfusion mismatch in inhalational anesthesia. Anesthesiology. 2025;142:829-843.

  17. Gibbs FA, Gibbs EL, Lennox WG. Effect on the electro-encephalogram of certain drugs which influence nervous activity. Arch Intern Med (Chic). 1937;60:154-166. doi: 10.1001/archinte.1937.00180010159012.

  18. Martin JT, Faulconer A Jr, Bickford RG. Electroencephalography in anesthesiology. Anesthesiology. 1959;20:359-376. doi: 10.1097/00000542-195905000-00017.

  19. Faulconer A Jr, Bickford RG. Electroencephalography in anesthesiology. Springfield (IL): Charles C Thomas; 1960.

  20. Rampil IJ. A primer for EEG signal processing in anesthesia. Anesthesiology. 1998;89:980-1002. doi: 10.1097/00000542-199810000-00023.

  21. Sigl JC, Chamoun NG. An introduction to bispectral analysis for the electroencephalogram. J Clin Monit. 1994;10:392-404. doi: 10.1007/BF01618421.

  22. Schurger A. Consciousness explained or described? Neurosci Conscious. 2022;2022:niac001. doi: 10.1093/nc/niac001.

  23. Jiang Y, Sleigh J. Consciousness and general anesthesia: challenges for measuring the depth of anesthesia. Anesthesiology. 2024;140:313-328.

  24. Mashour GA. Anesthesia and the neurobiology of consciousness. Neuron. 2024;112:1553-1567.

  25. Egan TD. The drug titration paradox: something obvious finally becomes clear. Br J Anaesth. 2022;128:e217-e219.

  26. Eleveld DJ, Colin P, Absalom AR, Struys MMRF. Pharmacokinetic-pharmacodynamic model for propofol for broad application in anaesthesia and sedation. Br J Anaesth. 2018;120:942-959.

  27. Lobo SA, Ojeda J, Dua A, et al. Minimum alveolar concentration. In: StatPearls. Treasure Island (FL): StatPearls Publishing; 2026.

  28. Dixon WJ. The up-and-down method for small samples. J Am Stat Assoc. 1965;60:967-978. doi: 10.1080/01621459.1965.10480843.

  29. Hendrickx JFA, De Wolf AM. End-tidal anesthetic concentration: monitoring, interpretation, and clinical application. Anesthesiology. 2022;136:985-996. doi: 10.1097/ALN.0000000000004218.

  30. Sonner JM. Issues in the design and interpretation of minimum alveolar anesthetic concentration (MAC) studies. Anesth Analg. 2002;95:609-614. doi: 10.1097/00000539-200209000-00021.

  31. Enlund M. Be aware of minimum alveolar concentration (MAC), or beware of MAC—is there a magic number that can seduce you? J Oral Maxillofac Anesth. 2025;4:10. doi: 10.21037/joma-25-13.

  32. Antognini JF, Carstens E. Macroscopic sites of anesthetic action: brain versus spinal cord. Toxicol Lett. 1998;100-101:51-58. doi: 10.1016/S0378-4274(98)00164-7.

  33. Antognini JF, Schwartz K. Exaggerated anesthetic requirements in the preferentially anesthetized brain. Anesthesiology. 1993;79:1244-1249.

  34. Zhang H, Zhang J, Li X, et al. Feasibility study of an indicator of equivalent potency of multiple anesthetics normalized by minimum alveolar concentration derived from response surface models. Anesth Analg. 2026;142:541-550. doi: 10.1213/ANE.0000000000007514.

  35. Riley RL, Cournand A. Ideal alveolar air and the analysis of ventilation-perfusion relationships in the lungs. J Appl Physiol. 1949;1:825-847. doi: 10.1152/jappl.1949.1.12.825.

  36. Mapleson WW. Circulation-time models of the uptake of inhaled anaesthetics and data for quantifying them. Br J Anaesth. 1973;45:319-334.

  37. Da X, Li X, Dong A, et al. Effect of electroencephalogram-guided anesthesia on postoperative delirium in older adults after surgery: a systematic review and meta-analysis. Front Neurol. 2025;16:1638282.

  38. Lin CY. Uptake of anaesthetic gases and vapours. Anaesth Intensive Care. 1994;22:358-373.

  39. Gertler R, Joshi GP. Modern understanding of intraoperative mechanical ventilation in normal and diseased lungs. Adv Anesth. 2010;28:15-33.

  40. Scaramuzzo G, Karbing DS, Ball L, et al. Intraoperative ventilation/perfusion mismatch and postoperative pulmonary complications after major noncardiac surgery: a prospective cohort study. Anesthesiology. 2024;141:693-706.

  41. Jegarl AM, Walline MC, Goldstein PA, et al. Is electroencephalographic burst-suppression good, bad, or indifferent for brain health? Context Matters. Anesth Analg. 2025. doi: 10.1213/ANE.0000000000007739.

  42. Fritz BA, Kalarickal PL, Maybrier HR, et al. Intraoperative electroencephalogram suppression predicts postoperative delirium. Anesth Analg. 2016;122:234-242. doi: 10.1213/ANE.0000000000000989.

  43. Watson PL, Shintani AK, Tyson R, Pandharipande PP, Pun BT, Ely EW. Presence of electroencephalogram burst suppression in sedated, critically ill patients is associated with increased mortality. Crit Care Med. 2008;36:3171-3177. doi: 10.1097/CCM.0b013e318186b9ce.

  44. Rasulo FA, Hopkins P, Lobo FA, et al. Processed electroencephalogram-based monitoring to guide sedation in critically ill adult patients: recommendations from an international expert panel-based consensus. Neurocrit Care. 2023;38:296-311. doi: 10.1007/s12028-022-01565-5.

  45. Schnider TW, Minto CF, Filipovic M. The drug titration paradox: correlation of more drug with less effect in clinical data. Clin Pharmacol Ther. 2021;110:401-408. doi: 10.1002/cpt.2162.

  46. Schnider TW, Minto CF, Luginbühl M, Egan TD. The drug titration paradox: more drug does not correlate with more effect in individual clinical data. Br J Anaesth. 2022;129:861-867. doi: 10.1016/j.bja.2022.05.036.

  47. Food and Drug Administration. 510(k) Premarket notification: K963644. Bispectral Index (BIS). Silver Spring (MD): FDA; 1996.

  48. Food and Drug Administration. 510(k) Premarket notification: K040183. BIS monitoring system; clearance statement referencing reduction of awareness with recall (510(k) K030267 cleared Jan 13, 2004). Silver Spring (MD): FDA; 2004.

  49. Hajat Z, Ahmad N, Andrzejowski J. The role and limitations of EEG-based depth of anaesthesia monitoring in theatres and intensive care. Anaesthesia. 2017;72:1433-1447.

  50. Checketts MR, Alladi R, Ferguson K, et al. Recommendations for standards of monitoring during anaesthesia and recovery 2015: Association of Anaesthetists of Great Britain and Ireland. Anaesthesia. 2016;71:85-93.

  51. Pandit JJ, Cook TM, Jonker WR, O'Sullivan E, editors. NAP5: Accidental awareness during general anaesthesia. Chapter 20: Depth of anaesthesia monitoring. London: Royal College of Anaesthetists; 2014.

  52. Lau K, Matta B, Menon DK, Absalom AR. Attitudes of anaesthetists to awareness and depth of anaesthesia monitoring in the UK. Eur J Anaesthesiol. 2006;23:921-930.

  53. Myles PS, Leslie K, McNeil J, Forbes A, Chan MT. Bispectral index monitoring to prevent awareness during anaesthesia: the B-Aware randomised controlled trial. Lancet. 2004;363:1757-1763. doi: 10.1016/S0140-6736(04)16300-9.

  54. Avidan MS, Zhang L, Burnside BA, et al. Anesthesia awareness and the bispectral index. N Engl J Med. 2008;358:1097-1108. doi: 10.1056/NEJMoa0707361.

  55. Lewis SR, Pritchard MW, Fawcett LJ, Punjasawadwong Y. Bispectral index for improving intraoperative awareness and early postoperative recovery in adults. Cochrane Database Syst Rev. 2019;9:CD003843. doi: 10.1002/14651858.CD003843.pub4.

  56. Whitlock EL, Villafranca AJ, Lin N, et al. Relationship between bispectral index values and volatile anesthetic concentrations during the maintenance phase of anesthesia in the B-Unaware trial. Anesthesiology. 2011;115:1209-1218. doi: 10.1097/ALN.0b013e3182395dcb.

  57. Bruhn J, Bouillon TW, Shafer SL. Electromyographic activity falsely elevates the bispectral index. Anesthesiology. 2000;92:1485-1487. doi: 10.1097/00000542-200005000-00042.

  58. Chan MTV, Gin T, Kwok R, et al. Performance of the bispectral index during electrocautery. Br J Anaesth. 2012;108:588-594. doi: 10.1093/bja/aer473.

  59. Messner M, Beese U, Romstock J, Dinkel M, Tschaikowsky K. The bispectral index declines during neuromuscular block in fully awake persons. Anesth Analg. 2003;97:488-491.

  60. Schuller PJ, Newell S, Strickland PA, Barry JJ. Response of bispectral index to neuromuscular block in awake volunteers. Br J Anaesth. 2015;115:i95-i103.

  61. Pawar N, Furtado M, Baker R, et al. Burst suppression during general anesthesia and postoperative delirium: a review. Front Aging Neurosci. 2022;13:777518.

  62. Mourisse J, Lerou J, Struys M, Zwarts M, Booij L. Multi-level approach to anaesthetic effects produced by sevoflurane or propofol in humans: 1. BIS and blink reflex. Br J Anaesth. 2007;98:737-745. doi: 10.1093/bja/aem104.

  63. Diz JC, Del Río R, Lamas A, et al. Analysis of pharmacodynamic interaction of sevoflurane and propofol on BIS using a response surface model. Br J Anaesth. 2010;104:733-739.

  64. Berger-Estilita J, Saxena S, Gisselbaek M. Advancing electroencephalography education in anesthesiology. Curr Opin Anaesthesiol. 2025;38:576-583.

  65. Kaiser HA, Zindel J, Schmid A, et al. Comorbidity-dependent changes in alpha and broadband power of the electroencephalogram during general anaesthesia. Br J Anaesth. 2020;125:e478-e487. doi: 10.1016/j.bja.2020.07.043.

  66. Ni K, Gillinov AM, McKhann GM, et al. Paradox of age: older patients receive higher age-adjusted minimum alveolar concentration fractions but display higher bispectral index values. Anesth Analg. 2019;129:e140-e142.

  67. Purdon PL, Sampson A, Pavone KJ, Brown EN. Clinical electroencephalography for anesthesiologists: part I. Anesthesiology. 2015;123:937-960.

  68. Romagnoli S, Lobo FA, Picetti E, Rasulo FA, Robba C, Matta B. Non-invasive technology for brain monitoring: definition and meaning of the principal parameters for the International PRactice On TEChnology neuro-moniToring group (I-PROTECT). J Clin Monit Comput. 2024;38:827-845.

  69. Hight D, Kreuzer M, Ugen G, et al. Five commercial 'depth of anaesthesia' monitors provide discordant clinical recommendations in response to identical emergence-like EEG signals. Br J Anaesth. 2023;130:536-545.

  70. Abel JH, Badgeley MA, Meschede-Krasa B, et al. Machine learning of EEG spectra classifies unconsciousness during GABAergic anesthesia. PLoS One. 2021;16:e0246165. doi: 10.1371/journal.pone.0246165.

  71. Hight D, Kaiser HA, Schuller PJ. A display filter alters SEF95 calculation in the BIS monitor: a persistent design flaw with clinical and research implications. Anesthesiology. 2026;144:234-236. doi: 10.1097/ALN.0000000000005762.

  72. Saadeh W, Khan FH, Altaf MAB. Design and implementation of a machine learning based EEG processor for accurate estimation of depth of anesthesia. IEEE Trans Biomed Circuits Syst. 2019;13:658-669. doi: 10.1109/TBCAS.2019.2921875.

  73. Li T, Huang Y, Wen P, Li Y. Accurate depth of anesthesia monitoring based on EEG signal complexity and frequency features. Brain Inform. 2024;11:28.

  74. Palanca BJA, Mashour GA, Avidan MS. Processed electroencephalogram in depth of anesthesia monitoring. Curr Opin Anaesthesiol. 2009;22:553-559.

  75. Zhang XS, Roy RJ, Jensen EW. EEG complexity as a measure of depth of anesthesia for patients. IEEE Trans Biomed Eng. 2001;48:1424-1433.

  76. Dragovic SZ, Ostertag J, Baumann N, et al. Spectral differences of anesthetic agents: addressing fundamental problems with new methods. Anesth Analg. 2026;142:249-260.

  77. Nguyen-Ky T, Wen PP, Li Y. Consciousness and depth of anesthesia assessment based on Bayesian analysis of EEG signals. IEEE Trans Biomed Eng. 2013;60:1488-1498.

  78. Roche D, Mahon P. Depth of anesthesia monitoring. Anesthesiol Clin. 2021;39:477-492. doi: 10.1016/j.anclin.2021.04.004.

  79. Bowdle TA. Depth of anesthesia monitoring. Anesthesiol Clin. 2006;24:793-822.

  80. Donoghue T, Haller M, Peterson EJ, et al. Parameterizing neural power spectra into periodic and aperiodic components. Nat Neurosci. 2020;23:1655-1665. doi: 10.1038/s41593-020-00744-x.

  81. Widmann S, Ostertag J, Zinn S, et al. Aperiodic component of the electroencephalogram power spectrum reflects the hypnotic level of anaesthesia. Br J Anaesth. 2025;134:392-401. doi: 10.1016/j.bja.2024.09.027.

  82. Bruhn J, Myles PS, Sneyd R, Struys MMRF. Depth of anaesthesia monitoring: what's available, what's validated and what's next? Br J Anaesth. 2006;97:85-94.

  83. Nimmo AF, Absalom AR, Bagshaw O, et al. Guidelines for the safe practice of total intravenous anaesthesia (TIVA): joint guidelines from the Association of Anaesthetists and the Society for Intravenous Anaesthesia. Anaesthesia. 2019;74:211-224.

  84. Klein AA, Meek T, Allcock E, et al. Recommendations for standards of monitoring during anaesthesia and recovery 2021: guideline from the Association of Anaesthetists. Anaesthesia. 2021;76:1212-1223.

  85. Council CA. APSF-endorsed statement on revising recommendations for patient monitoring during anesthesia. APSF Newsletter. 2022;37:7-8.

  86. American Society of Anesthesiologists Task Force on Intraoperative Awareness. Practice advisory for intraoperative awareness and brain function monitoring: a report by the American Society of Anesthesiologists Task Force on Intraoperative Awareness. Anesthesiology. 2006;104:847-864.

  87. Laferriere-Langlois P, Morisson L, Jeffries S, Duclos C, Espitalier F, Richebé P. Depth of anesthesia and nociception monitoring: current state and vision for 2050. Anesth Analg. 2024;138:295-307.




Figure 1
Figure 2
Figure 3
Figure 4
CC BY-NC-ND

2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Rev Mex Anest. 2026;49