Journal of Critical Care
Volume 24, Issue 3 , Pages 322-328, September 2009

Assessing the predictive value of the bispectral index vs patient state index on clinical assessment of sedation in postoperative cardiac surgery patients☆☆

Department of Anesthesiology and Pain Management, University of Texas Southwestern Medical Center and the Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri

published online 19 June 2009.

Abstract 

Purpose

To compare the depth of sedation determined by Ramsay sedation scale (RSS) with electroencephalogram-based bispectral index (BIS) and patient state index (PSI).

Materials and Methods

Fifty mechanically ventilated cardiac surgical patients undergoing propofol and morphine sedation were assessed hourly for up to 6 hours or until tracheal extubation using the BIS, PSI, and RSS. Correlation between RSS, BIS, and PSI was determined, as well as the interrater reliability of RSS, BIS, and PSI. κ statistics was used to further evaluate the agreement between BIS and PSI.

Results

There was positive correlation between BIS and PSI values (ρ = 0.731, P < .001). The average weighted κ coefficient was .40 between the BIS and PSI, 0.28 between the RSS and BIS, and 0.16 between the RSS and PSI. Intraclass correlation was consistently higher between the BIS and PSI at all time intervals during the study. Logistic regression modeling over study duration showed that the BIS was consistently better at predicting oversedation (area under the curve, 0.92) than the PSI (area under the curve, 0.78). A comparison of BIS and PSI receiver operating characteristic curves showed that the BIS monitor was a better predictor of oversedation compared with the PSI (P = .02).

Conclusions

There is significant positive correlation between the BIS and PSI but poor correlation and poor test agreement between the RSS and BIS as well as RSS and PSI. The BIS is a better predictor of oversedation compared with the PSI. There was no significant difference between the BIS and PSI with respect to the prediction of undersedation.

Keywords: Sedation, Critically ill, Bispectral index, Patient state index, Ramsay sedation scale

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 This work was performed at the Veterans Administration North Texas Health Care System and the University of Texas Southwestern Medical Center in Dallas, TX.

☆☆ This work was supported in part by an unrestricted grant from Hospira Inc and the Department of Anesthesiology, University of Texas Southwestern Medical Center, Dallas, TX.

 No sponsors had any role in the study design, data collection, analysis, and interpretation of data; in the writing of the manuscript; and in the decision to submit the manuscript for publication.

PII: S0883-9441(08)00248-7

doi:10.1016/j.jcrc.2008.11.004

Journal of Critical Care
Volume 24, Issue 3 , Pages 322-328, September 2009