Literature DB >> 34245405

Processed electroencephalography: impact of patient age and surgical position on intraoperative processed electroencephalogram monitoring of burst-suppression.

D Pleasants1, R Zak2, L H Ashbrook3, L Zhang2,4, C Tang1, D Tran1, M Wang1, S Tabatabai1, J M Leung5.   

Abstract

We previously reported that processed EEG underestimated the amount of burst suppression compared to off-line visual analysis. We performed a follow-up study to evaluate the reasons for the discordance. Forty-five patients were monitored intraoperatively with processed EEG. A computer algorithm was used to convert the SedLine® (machine)-generated burst suppression ratio into a raw duration of burst suppression. The reference standard was a precise off-line measurement by two neurologists. We measured other potential variables that may affect machine accuracy such as age, surgery position, and EEG artifacts. Overall, the median duration of bust suppression for all study subjects was 15.4 min (Inter-quartile Range [IQR] = 1.0-20.1) for the machine vs. 16.1 min (IQR = 0.3-19.7) for the neurologists' assessment; the 95% limits of agreement fall within - 4.86 to 5.04 s for individual 30-s epochs. EEG artifacts did not affect the concordance between the two methods. For patients in prone surgical position, the machine estimates had significantly lower overall sensitivity (0.86 vs. 0.97; p = 0.038) and significantly wider limits of agreement ([- 4.24, 3.82] seconds vs. [- 1.36, 1.13] seconds, p = 0.001) than patients in supine position. Machine readings for younger patients (age < 65 years) had higher sensitivity (0.96 vs 0.92; p = 0.021) and specificity (0.99 vs 0.88; p = 0.007) for older patients. The duration of burst suppression estimated by the machine generally had good agreement compared with neurologists' estimation using a more precise off-line measurement. Factors that affected the concordance included patient age and position during surgery, but not EEG artifacts.
© 2021. The Author(s), under exclusive licence to Springer Nature B.V.

Entities:  

Keywords:  Anesthesia; Burst suppression; Electroencephalogram; Intraoperative neuromonitoring; Processed EEG; Surgical position

Mesh:

Year:  2021        PMID: 34245405     DOI: 10.1007/s10877-021-00741-w

Source DB:  PubMed          Journal:  J Clin Monit Comput        ISSN: 1387-1307            Impact factor:   1.977


  15 in total

1.  Comparison of Bispectral Index and Entropy values with electroencephalogram during surgical anaesthesia with sevoflurane.

Authors:  A J Aho; K Kamata; V Jäntti; A Kulkas; S Hagihira; H Huhtala; A Yli-Hankala
Journal:  Br J Anaesth       Date:  2015-07-01       Impact factor: 9.166

2.  Electroencephalogram Burst-suppression during Cardiopulmonary Bypass in Elderly Patients Mediates Postoperative Delirium.

Authors:  Juan C Pedemonte; George S Plummer; Shubham Chamadia; Joseph J Locascio; Eunice Hahm; Breanna Ethridge; Jacob Gitlin; Reine Ibala; Jennifer Mekonnen; Katia M Colon; M Brandon Westover; David A D'Alessandro; George Tolis; Timothy Houle; Kenneth T Shelton; Jason Qu; Oluwaseun Akeju
Journal:  Anesthesiology       Date:  2020-08       Impact factor: 7.892

3.  SNAP II versus BIS VISTA monitor comparison during general anesthesia.

Authors:  Candace Hrelec; Erika Puente; Sergio Bergese; Roger Dzwonczyk
Journal:  J Clin Monit Comput       Date:  2010-07-22       Impact factor: 2.502

4.  A state-space model of the burst suppression ratio.

Authors:  Jessica J Chemali; K F Kevin Wong; Ken Solt; Emery N Brown
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

5.  Intraoperative Electroencephalogram Suppression Predicts Postoperative Delirium.

Authors:  Bradley A Fritz; Philip L Kalarickal; Hannah R Maybrier; Maxwell R Muench; Doug Dearth; Yulong Chen; Krisztina E Escallier; Arbi Ben Abdallah; Nan Lin; Michael S Avidan
Journal:  Anesth Analg       Date:  2016-01       Impact factor: 5.108

Review 6.  A narrative review of electroencephalogram-based monitoring during cardiovascular surgery.

Authors:  Heiko A Kaiser; Darren Hight; Michael S Avidan
Journal:  Curr Opin Anaesthesiol       Date:  2020-02       Impact factor: 2.706

7.  Burst-suppression ratio underestimates absolute duration of electroencephalogram suppression compared with visual analysis of intraoperative electroencephalogram.

Authors:  W G Muhlhofer; R Zak; T Kamal; B Rizvi; L P Sands; M Yuan; X Zhang; J M Leung
Journal:  Br J Anaesth       Date:  2017-05-01       Impact factor: 9.166

8.  Neuronal Networks during Burst Suppression as Revealed by Source Analysis.

Authors:  Natia Japaridze; Muthuraman Muthuraman; Christine Reinicke; Friederike Moeller; Abdul Rauf Anwar; Kidist Gebremariam Mideksa; Ronit Pressler; Günther Deuschl; Ulrich Stephani; Michael Siniatchkin
Journal:  PLoS One       Date:  2015-04-30       Impact factor: 3.240

9.  Intraoperative burst suppression is associated with postoperative delirium following cardiac surgery: a prospective, observational study.

Authors:  Martin Soehle; Alexander Dittmann; Richard K Ellerkmann; Georg Baumgarten; Christian Putensen; Ulf Guenther
Journal:  BMC Anesthesiol       Date:  2015-04-28       Impact factor: 2.217

10.  ADAPT-2: A Randomized Clinical Trial to Reduce Intraoperative EEG Suppression in Older Surgical Patients Undergoing Major Noncardiac Surgery.

Authors:  Christopher J Tang; Zhongnan Jin; Laura P Sands; Devon Pleasants; Sanam Tabatabai; Yili Hong; Jacqueline M Leung
Journal:  Anesth Analg       Date:  2020-10       Impact factor: 6.627

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