Skip to main content

Advertisement

Log in

Computer-Assisted IV Anesthesia: Still a Future?

  • Computer-Assisted Anesthesia Management (A Joosten, Section Editor)
  • Published:
Current Anesthesiology Reports Aims and scope Submit manuscript

Abstract   

Purpose of Review

Automated control of anesthesia may give the physician time to control hemodynamics and supervise neurological outcomes and thus can provide the patient the safety and quality which until recently was considered a holy grail.

Recent Findings

This field of research is now increasing in every component of general anesthesia (hypnosis, nociception, neuromuscular blockade), and the literature describes some successful algorithms—single or multi-closed-loop controllers. These devices aim to control a predefined target and to continuously titrate anesthetics whatever the patients’ co-morbidities and surgical events to reach this target.

Summary

The literature contains many randomized trials comparing manual and automated anesthesia and shows the feasibility and safety of this system. Automation could quickly concern other aspects of anesthesia like fluid or vasopressor management. This review proposes an overview of closed-loop systems in anesthesia.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References 

Papers of particular interest, published recently, have been highlighted as: • Of importance

  1. • Brogi E, Cyr S, Kazan R, Giunta F, Hemmerling TM. Clinical performance and safety of closed-loop systems: a systematic review and meta-analysis of randomized controlled trials. Anesth Analg. 2017;124:446–55. This meta-analysis written by specialists in automated anesthesia gives a good focus on the definitions and the goals to achieve with automated anesthesia compared to manual administration. The use of automated systems results in better control of a target within a selected range with a reduction of overshooting or undershooting. The authors described also the limits of the system.

    Article  PubMed  Google Scholar 

  2. Zorrilla-Vaca A, Healy RJ, Wu CL, Grant MC. Relation between bispectral index measurements of anesthetic depth and postoperative mortality: a meta-analysis of observational studies. Can J Anaesth. 2017;64:597–607.

    Article  PubMed  Google Scholar 

  3. Ruskin KJ, Corvin C, Rice S, Winter S. Autopilots in the operating room: safe use of automated medical technology. Anesthesiology. 2020;133:653–65.

    Article  PubMed  Google Scholar 

  4. Parasuraman R, Riley V. Humans and automation: use, misuse, disuse, abuse. Human Factors: J Human Factors Ergon Soc. 2016;39:230–53.

    Article  Google Scholar 

  5. Brown EN, Lydic R, Schiff ND. General anesthesia, sleep, and coma. N Engl J Med. 2010;363:2638–50.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Glass PS. Automated control of anesthesia ten years later: futuristic novelty or present day reality. Can J Anaesth. 2010;57:715–9.

    Article  PubMed  Google Scholar 

  7. Gingras V, Rabasa-Lhoret R, Messier V, Ladouceur M, Legault L, Haidar A. Efficacy of dual-hormone artificial pancreas to alleviate the carbohydrate-counting burden of type 1 diabetes: a randomized crossover trial. Diabetes Metab. 2016;42:47–54.

    Article  CAS  PubMed  Google Scholar 

  8. Moore BL, Doufas AG, Pyeatt LD. Reinforcement learning: a novel method for optimal control of propofol-induced hypnosis. Anesth Analg. 2011;112:360–7.

    Article  PubMed  Google Scholar 

  9. Absalom AR, De Keyser R, Struys MM. Closed loop anesthesia: are we getting close to finding the holy grail? Anesth analg. 2011;112(3):516–8.

    Article  PubMed  Google Scholar 

  10. Kuck K, Johnson KB. The three laws of autonomous and closed-loop systems in anesthesia. Anesth Analg. 2017;124:377–80.

    Article  PubMed  Google Scholar 

  11. Liu N, Chazot T, Hamada S, Landais A, Boichut N, Dussaussoy C, et al. Closed-loop coadministration of propofol and remifentanil guided by bispectral index: a randomized multicenter study. Anesth analg. 2011;112:546–57.

    Article  CAS  PubMed  Google Scholar 

  12. Morley A, Derrick J, Mainland P, Lee BB, Short TG. Closed loop control of anaesthesia: an assessment of the bispectral index as the target of control. Anaesthesia. 2000;55:953–9.

    Article  CAS  PubMed  Google Scholar 

  13. Liu N, Chazot T, Trillat B, Pirracchio R, Law-Koune JD, Barvais L, et al. Feasibility of closed-loop titration of propofol guided by the Bispectral Index for general anaesthesia induction: a prospective randomized study. Eur J Anaesthesiol. 2006;23:465–9.

    Article  CAS  PubMed  Google Scholar 

  14. Dussaussoy C, Peres M, Jaoul V, Liu N, Chazot T, Picquet J, et al. Automated titration of propofol and remifentanil decreases the anesthesiologist’s workload during vascular or thoracic surgery: a randomized prospective study. J Clin Monit Comput. 2014;28:35–40.

    Article  PubMed  Google Scholar 

  15. Assenzo V, Assenzo C, Filippo R, Le Guen M, Sage E, Roux A, et al. The feasibility of extubation in the operating room after bilateral lung transplantation in adult emphysema patients: an observational retrospective study. Eur J Cardiothorac Surg. 2018;54:1128–33.

    Article  PubMed  Google Scholar 

  16. Biswas I, Mathew PJ, Singh RS, Puri GD. Evaluation of closed-loop anesthesia delivery for propofol anesthesia in pediatric cardiac surgery. Paediatr Anaesth. 2013;23:1145–52.

    PubMed  Google Scholar 

  17. Orliaguet GA, Benabbes F, Chazot T, Glasman P, Fischler M, Liu N. Feasibility of closed-loop titration of propofol and remifentanil guided by the bispectral monitor in pediatric and adolescent patients: a prospective randomized study. Anesthesiology. 2015;122:759–67.

    Article  CAS  PubMed  Google Scholar 

  18. • Mahr N, Bouhake Y, Chopard G, Liu N, Boichut N, Chazot T, et al. Postoperative neurocognitive disorders after closed-loop versus manual target controlled-infusion of propofol and remifentanil in patients undergoing elective major noncardiac surgery: the randomized controlled postoperative cognitive dysfunction-electroencephalographic-guided anesthetic administration trial. Anesth Analg. 2021;133:837–47. This study is ancillary to a randomized control trial on automated versus standard anesthesia (induction and maintenance) but it introduced the relationship between general anesthesia and especially total IV anesthesia with systematic brain monitoring and the cerebral outcome. If it was previously supposed, this is the first confirmation with psychometric tests.

    Article  CAS  PubMed  Google Scholar 

  19. Liu N, Lory C, Assenzo V, Cocard V, Chazot T, Le Guen M, et al. Feasibility of closed-loop co-administration of propofol and remifentanil guided by the bispectral index in obese patients: a prospective cohort comparison. Br J Anaesth. 2015;114:605–14.

    Article  CAS  PubMed  Google Scholar 

  20. Joosten A. Anesthetic management using multiple closed-loop systems and delayed neurocognitive recovery: a randomized controlled trial. Anesthesiology. 2020;132:253–66.

    Article  PubMed  Google Scholar 

  21. Manohar M, Gupta B, Gupta L. Closed-loop monitoring by anesthesiologists — a comprehensive approach to patient monitoring during anesthesia. Korean J Anesthesiol. 2018;71:417–8.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Joosten A, Rinehart J, Van der Linden P, Alexander B, Penna C, De Montblanc J, et al. computer-assisted individualized hemodynamic management reduces intraoperative hypotension in intermediate- and high-risk surgery: a randomized controlled trial. Anesthesiology. 2021;135:258–72.

    Article  CAS  PubMed  Google Scholar 

  23. Stinson LW, Murray MJ, Jones KA, Assef SJ, Burke MJ, Behrens TL, et al. A computer-controlled, closed-loop infusion system for infusing muscle relaxants: its use during motor-evoked potential monitoring. J Cardiothorac Vasc Anesth. 1994;8(1):40–4.

    Article  PubMed  Google Scholar 

  24. Rinehart J, Liu N, Alexander B, Cannesson M. Review article: closed-loop systems in anesthesia: is there a potential for closed-loop fluid management and hemodynamic optimization? Anesth Analg. 2012;114(1):130–43.

    Article  PubMed  Google Scholar 

  25. Luginbuhl M, Bieniok C, Leibundgut D, Wymann R, Gentilini A, Schnider TW. Closed-loop control of mean arterial blood pressure during surgery with alfentanil: clinical evaluation of a novel model-based predictive controller. Anesthesiology. 2006;105(3):462–70.

    Article  PubMed  Google Scholar 

  26. Liu N, Chazot T, Hamada S, Landais A, Boichut N, Dussaussoy C, et al. Closed-loop coadministration of propofol and remifentanil guided by bispectral index: a randomized multicenter study. Anesth Analg. 2011;112(3):546–57.

    Article  CAS  PubMed  Google Scholar 

  27. Meijer F, Honing M, Roor T, Toet S, Calis P, Olofsen E, et al. Reduced postoperative pain using nociception level-guided fentanyl dosing during sevoflurane anaesthesia: a randomised controlled trial. Br J Anaesth. 2020;125:1070–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Phan TD, Ismail H, Heriot AG, Ho KM. Improving perioperative outcomes: fluid optimization with the esophageal Doppler monitor, a metaanalysis and review. J Am Coll Surg. 2008;207:935–41.

    Article  PubMed  Google Scholar 

  29. Lilot M, et al. Comparison of cardiac output optimization with an automated closed-loop goal-directed fluid therapy versus non standardized manual fluid administration during elective abdominal surgery: first prospective randomized controlled trial. J Clin Monit Comput. 2018;32:993–1003.

    Article  PubMed  Google Scholar 

  30. Snider EJ, et al. An automated hardware-in-loop testbed for evaluating hemorrhagic shock resuscitation controllers. Bioengineering (Basel). 2022;9(8):373.

    Article  PubMed  Google Scholar 

  31. Snider EJ, et al. Evaluation of a proportional-integral-derivative controller for hemorrhage resuscitation using a hardware-in-loop test platform. J Pers Med. 2022;12:979.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Rinehart J, et al. Closed-loop control of vasopressor administration in patients undergoing cardiac revascularization surgery. J Cardiothorac Vasc Anesth. 2020;34:3081–5.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ngan Kee WD, et al. Closed-loop feedback computer-controlled phenylephrine for maintenance of blood pressure during spinal anesthesia for cesarean delivery: a randomized trial comparing automated boluses versus infusion. Anesth Analg. 2017;125:117–23.

    Article  CAS  PubMed  Google Scholar 

  34. Libert N, et al. Performance of closed-loop resuscitation of haemorrhagic shock with fluid alone or in combination with norepinephrine: an experimental study. Ann Intensive Care. 2018;8:89.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Hemmerling TM, Arbeid E, Wehbe M, Cyr S, Taddei R, Zaouter C. Evaluation of a novel closed-loop total intravenous anaesthesia drug delivery system: a randomized controlled trial. Br J Anaesth. 2013;110:1031–9.

    Article  CAS  PubMed  Google Scholar 

  36. Puri GD, Mathew PJ, Biswas I, et al. A multicenter evaluation of a closed-loop anesthesia delivery system: a randomized controlled trial. Anesth Analg. 2016;122:106–14.

    Article  CAS  PubMed  Google Scholar 

  37. Pasin L, Nardelli P, Pintaudi M, et al. Closed-loop delivery systems versus manually controlled administration of total IV anesthesia: a meta-analysis of randomized clinical trials. Anesth Analg. 2017;124:456–64.

    Article  PubMed  Google Scholar 

  38. Cotoia A, Mirabella L, Beck R, et al. Effects of closed-loop intravenous anesthesia guided by bispectral index in adult patients on emergence delirium: a randomized controlled study. Minerva Anestesiol. 2018;84:437–46.

    Article  PubMed  Google Scholar 

  39. Dumont GA. Feedback control for clinicians. J Clin Monit Comput. 2014;28:5–11.

    Article  PubMed  Google Scholar 

  40. Mccormick PJ, Levin MA, Lin HM, et al. Effectiveness of an electronic alert for hypotension and low bispectral index on 90-day postoperative mortality: a prospective, randomized trial. Anesthesiology. 2016;125:1113–20.

    Article  PubMed  Google Scholar 

  41. Dumans-Nizard V, Hamada S, Fischler M. Bispectral index during cardiopulmonary resuscitation: a poor indicator of recovery. Two very different cases. Anaesthesia. 2010;65(2):196–8.

    Article  CAS  PubMed  Google Scholar 

  42. Le Guen M, Liu N, Tounou F, Auge M, Tuil O, Chazot T, et al. Dexmedetomidine reduces propofol and remifentanil requirements during bispectral index-guided closed-loop anesthesia: a double-blind, placebo-controlled trial. Anesth Analg. 2014;118(5):946–55.

    Article  PubMed  Google Scholar 

  43. Liu N, Chazot T, Trillat B, Michel-Cherqui M, Marandon JY, Law-Koune JD, et al. Closed-loop control of consciousness during lung transplantation: an observational study. J Cardiothorac Vasc Anesth. 2008;22:611–5.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jean Selim.

Ethics declarations

Conflict of Interest

Dr. Le Guen: none.

Drs Liu is the inventor and co-owner of a patent for a gain constant and control algorithm for a closed-loop anesthesia management system. He is a co-founder of MedSteer, a biomedical company that promotes research and development in closed-loop anesthesia devices.

Dr. Jean Selim: none.

Human and Animal Rights and Informed Consent

This article does not contain any studies with human or animal subjects performed by any of the authors.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Le Guen, M., Liu, N. & Selim, J. Computer-Assisted IV Anesthesia: Still a Future?. Curr Anesthesiol Rep 13, 187–195 (2023). https://doi.org/10.1007/s40140-023-00568-y

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40140-023-00568-y

Keywords

Navigation