We would like to thank Dr. Sneyd and Prof. Evered for their interesting comments regarding our recent article which assessed the feasibility and potential impact of automated closed-loop anesthesia management on short- and mid-term cognitive function after noncardiac surgery.1,2 

We agree with these authors that an alternative interpretation of our results could be that automated anesthetic management using the combination of three controllers had no impact on delayed neurocognitive recovery. In correspondence with the Journal’s Statistical Editor, the most valid treatment estimate for change in cognition score (the 30-item Montreal Cognitive Assessment) from baseline would be an analysis of covariance, using preoperative cognition score as a covariate and group assignment as a fixed effect. In line with Journal policy, this analysis was labeled as a post hoc sensitivity analysis, as it was requested after examining the data. When analyzed in this manner, there was no statistical difference between the two groups at 1 week (point of estimate 0.7 with 95% CI, −0.2 to 1.6; P = 0.14) and 3 months (point of estimate 1.1 with 95% CI, 0.0 to 2.2; P = 0.056) postsurgery follow-up. The difference between this analysis and the originally planned analysis is that the groups were somewhat imbalanced at baseline, and this imbalance could account for approximately 30% of the treatment effect when analyzed as a change score. As requested by the letter authors, we have added herein the median cognition scores in both groups at their baseline, short-term (1 week) follow-up, and mid-term (3 months) follow-up (table 1), and we have added figure 1 that describes changes from baseline cognition score for the two groups. It is worth noting that the point estimate from the analysis of covariance approach is similar in magnitude to the original approach, but with increased imprecision (i.e., wider CIs).

Table 1.

Cognition Score

Cognition Score
Cognition Score
Fig. 1.

Changes from baseline cognition score at 1 and 12 weeks in the control (blue) and the closed-loop (green) groups. Boxplots are shown for change in cognition score at 1-week and 12-week follow-up. The box shows the 25th to 75th percentile with median shown as the solid line inside the box. Whiskers extend to the minimum/maximum scores or 1.5× the interquartile range, whichever is less. If there are points outside of 1.5× the interquartile range they are shown as dots (“outliers”).

Fig. 1.

Changes from baseline cognition score at 1 and 12 weeks in the control (blue) and the closed-loop (green) groups. Boxplots are shown for change in cognition score at 1-week and 12-week follow-up. The box shows the 25th to 75th percentile with median shown as the solid line inside the box. Whiskers extend to the minimum/maximum scores or 1.5× the interquartile range, whichever is less. If there are points outside of 1.5× the interquartile range they are shown as dots (“outliers”).

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Dr. Joosten reports being a consultant for Edwards Lifesciences (Irvine, California). Dr. Van der Linden has received, within the past 5 yr, fees for lectures and consultancies from Fresenius Kabi GmbH (Bad Homburg, Germany), Aguettant Medical SA (Lyon, France), Nordic Pharma (Paris, France), and Vifor Pharma (Antwerp, Belgium). Dr. Rinehart reports ownership interest in Sironis, a company developing closed-loop systems and consulting for Edwards Lifesciences. Dr. Barvais declares no competing interests.

1.
Sneyd
JR
,
Evered
LA
.
Impact of closed-loop anesthesia on cognitive function: Comment.
Anesthesiology
.
2020
;
133
:
945
6
2.
Joosten
A
,
Rinehart
J
,
Bardaji
A
,
Van der Linden
P
,
Jame
V
,
Van Obbergh
L
,
Alexander
B
,
Cannesson
M
,
Vacas
S
,
Liu
N
,
Slama
H
,
Barvais
L
.
Anesthetic management msing multiple closed-loop systems and delayed neurocognitive recovery: A randomized controlled trial.
Anesthesiology
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2020
;
132
:
253
66