Anesthetic Management Using Multiple Closed-loop Systems and Delayed Neurocognitive Recovery

Author:

Joosten Alexandre1,Rinehart Joseph1,Bardaji Aurélie1,Van der Linden Philippe1,Jame Vincent1,Van Obbergh Luc1,Alexander Brenton1,Cannesson Maxime1,Vacas Susana1,Liu Ngai1,Slama Hichem1,Barvais Luc1

Affiliation:

1. From the Department of Anesthesiology (A.J., A.B., V.J., L.V.O, L.B.), and Department of Clinical and Cognitive Neuropsychology (H.S.), Erasme Hospital, and Department of Anesthesiology, Brugmann Hospital (P.V.d.L.), Université Libre de Bruxelles, Brussels, Belgium; Department of Anesthesiology and Intensive Care, University of Paris-Saclay, Bicetre Hospital, Le Kremlin-Bicêtre, Paris, France (A.

Abstract

Abstract Editor’s Perspective What We Already Know about This Topic What This Article Tells Us That Is New Background Cognitive changes after anesthesia and surgery represent a significant public health concern. We tested the hypothesis that, in patients 60 yr or older scheduled for noncardiac surgery, automated management of anesthetic depth, cardiac blood flow, and protective lung ventilation using three independent controllers would outperform manual control of these variables. Additionally, as a result of the improved management, patients in the automated group would experience less postoperative neurocognitive impairment compared to patients having standard, manually adjusted anesthesia. Methods In this single-center, patient-and-evaluator-blinded, two-arm, parallel, randomized controlled, superiority study, 90 patients having noncardiac surgery under general anesthesia were randomly assigned to one of two groups. In the control group, anesthesia management was performed manually while in the closed-loop group, the titration of anesthesia, analgesia, fluids, and ventilation was performed by three independent controllers. The primary outcome was a change in a cognition score (the 30-item Montreal Cognitive Assessment) from preoperative values to those measures 1 week postsurgery. Secondary outcomes included a battery of neurocognitive tests completed at both 1 week and 3 months postsurgery as well as 30-day postsurgical outcomes. Results Forty-three controls and 44 closed-loop patients were assessed for the primary outcome. There was a difference in the cognition score compared to baseline in the control group versus the closed-loop group 1 week postsurgery (–1 [–2 to 0] vs. 0 [–1 to 1]; difference 1 [95% CI, 0 to 3], P = 0.033). Patients in the closed-loop group spent less time during surgery with a Bispectral Index less than 40, had less end-tidal hypocapnia, and had a lower fluid balance compared to the control group. Conclusions Automated anesthetic management using the combination of three controllers outperforms manual control and may have an impact on delayed neurocognitive recovery. However, given the study design, it is not possible to determine the relative contribution of each controller on the cognition score.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

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