NCT05508386

Brief Summary

Burst suppression describes a specific EEG pattern that can generally indicate a too deep general anesthesia. The pathophysiology of anesthetic-induced Burst Suppression may be distinctly different from the pathophysiology of Burst Suppression from other medical causes (e.g., coma, hypothermia, intoxication). Definition criteria of neurologic societies cannot be applied to the classification of Burst Suppression during general anesthesia without adaptation. The lack of a clear definition complicates structured research on anesthetic-induced Burst Suppression EEG in the perioperative setting because of subjective bias. Therefore, a unified agreement on what anesthesia-induced Burst Suppression looks like is crucial to conduct the best possible research. The aim of this study is to formulate the basis for a clear definition of burst suppression EEG that may help to truly understand the significance of this EEG pattern and its relationship to proposed postoperative outcomes such as postoperative delirium, longterm postoperative neurocognitive disorders (PNDs) or increased mortality.

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
40

participants targeted

Target at P25-P50 for not_applicable

Timeline
Completed

Started Aug 2022

Shorter than P25 for not_applicable

Geographic Reach
1 country

1 active site

Status
unknown

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

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Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

August 10, 2022

Completed
Same day until next milestone

Study Start

First participant enrolled

August 10, 2022

Completed
9 days until next milestone

First Posted

Study publicly available on registry

August 19, 2022

Completed
3 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

November 15, 2022

Completed
5 months until next milestone

Study Completion

Last participant's last visit for all outcomes

April 1, 2023

Completed
Last Updated

October 3, 2022

Status Verified

August 1, 2022

Enrollment Period

3 months

First QC Date

August 10, 2022

Last Update Submit

September 29, 2022

Conditions

Keywords

Intraoperative EEG based monitoringBurst SuppressionEEG-signal characteristicsintraoperative monitoringgeneral anesthesia

Outcome Measures

Primary Outcomes (2)

  • To obtain expert knowledge that can help to introduce a clear definition of EEG features to identify anesthetic-induced Burst Suppression.

    Interrater variability for identification of Burst Suppression during general anesthesia.

    2 months

  • Investigation of spectral and time domain EEG features to assess objectively the individual raters scoring criteria.

    Spectral and time domain EEG features of the scored EEG sequences.

    2 months

Secondary Outcomes (2)

  • Establishment of structures and working groups for the development of international definition criteria for Burst Suppression during general anesthesia.

    5 years

  • Verification of the clinical applicability of the new definition criteria

    5 years

Study Arms (1)

MATLAB-based interface, showing 50 EEG traces

OTHER

A software environment (MATLAB) was developed, that allows the international experts to access the data set and score the traces pseudonymously. This MATLAB-based interface shows 50 EEG traces. A representative dataset was composed, consisting of definite Burst Suppression patterns (positive control), intraoperative EEG without Burst Suppression patterns (negative control), and patterns indicating different manifestations of a possible Burst Suppression-like pattern.

Other: MATLAB-based interface, showing 50 EEG traces, classification of the EEG-pattern as Burst Suppression possible, yes, no.

Interventions

A software environment (MATLAB) was developed, that allows the international experts to access the data set and score the traces pseudonymously. This MATLAB-based interface shows 50 EEG traces. A representative dataset was composed, consisting of definite Burst Suppression patterns (positive control), intraoperative EEG without Burst Suppression patterns (negative control), and patterns indicating different manifestations of a possible Burst Suppression-like pattern.

MATLAB-based interface, showing 50 EEG traces

Eligibility Criteria

Sexall
Healthy VolunteersYes
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • leading international experts in the field of intraoperative EEG analysis

You may not qualify if:

  • members of study group

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Klinikum rechts der Isar - Klinik für Anästhesiologie und Intensivmedizin

Munich, Bavaria, 81675, Germany

Location

MeSH Terms

Interventions

YES1 protein, human

Study Officials

  • Stefanie Pilge, PD Dr.

    Senior Physician - Department of anesthesiology and intensive care

    STUDY CHAIR
  • Gerhard Schneider, Prof. Dr.

    Clinic director - Department of anesthesiology and intensive care

    STUDY CHAIR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Masking Details
pseudonymized interrater
Purpose
DIAGNOSTIC
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

August 10, 2022

First Posted

August 19, 2022

Study Start

August 10, 2022

Primary Completion

November 15, 2022

Study Completion

April 1, 2023

Last Updated

October 3, 2022

Record last verified: 2022-08

Data Sharing

IPD Sharing
Will not share

Locations