Electroencephalographic Biomarker to Predict Acute Post-operatory Cognitive Dysfunction

August 4, 2023 updated by: José Ignacio Egaña Tomic, University of Chile

Electroencephalographic Biomarker to Predict the Development of Acute Post-operatory Cognitive Dysfunction States: a Protocol of an Observational Study in a Cohort of Patients From Two Centers

Acute post-operatory cognitive dysfunction states are one of the most important complications in older patients after surgery. Two acute cognitive dysfunctions have been described: postoperative delirium (PD) and postoperative subsyndromal delirium (PSSD). Patients who develop delirium, both as a complete or incomplete syndrome, have poor long-term outcomes, such as longer length of hospital stay, institutionalization at discharge, and even higher mortality, and consequently, the human and economic costs significantly increase for the health system. Here the research team will use an observational cohort, investigator blinded in two-center with a primary endpoint to validate the relative alpha power ratio as a predictive biomarker of postoperative cognitive dysfunctions.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

Acute post-operatory cognitive dysfunction states are one of the most important complications in older patients after surgery. Two acute cognitive dysfunctions have been described: postoperative delirium (PD) and postoperative subsyndromal delirium (PSSD). In previous reports, the incidence of PD in older patients is between 10% to 30%, while PSSD is more frequent 30% to 50%. Patients who develop delirium, both as a complete or incomplete syndrome, have poorer long-term outcomes, such as longer length of hospital stay, institutionalization at discharge, and even higher mortality, and consequently, the human and economic costs significantly increase for the health system.

An early diagnostic and prevention of delirium are the key points to decrease the poor long-term outcomes and health costs. The diagnosis requires cognitive testing to elucidate functional patients' status before and after surgery. The need for a biomarker that may predict the occurrence of PD and PSSD and allow the selection of patients who need prevention strategies is a primary research field.

Here the research team will use an observational cohort, investigator blinded in two-center with a primary endpoint to validate the relative alpha power ratio as a predictive biomarker of postoperative cognitive dysfunctions.

To calculate the sample size, the investigators used values obtained from a previous work in a cohort of 30 patients and decided to compare the prediction ability of MoCA and alpha power ratio. ROC curves and their AUC were used to calculate the prediction ability of MoCA and alpha power ratio. Thus, a sample size of 425 patients was calculated considering an AUC of MoCA = 0.786 and AUC of alpha power = 0.895, a two-tailed test, an alpha error of 0.05 and a power of 0.8 and considering a 25% loss. Investigators consider this study as a pilot validation trial to establish the utility and the capacity of the EEG biomarker for predicting PD and PSSD, the research team aims to include the 25% of the total sample. This yields the need for 106 patients for this preliminary trial.

Study Type

Observational

Enrollment (Actual)

106

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Santiago, Chile
        • Instituto Nacional del Cancer
      • Santiago, Chile, 8380456
        • Hospital Clínico Universidad de Chile

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

60 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Patients at risk of delirium or subsyndromal delirium after High-risk Surgery will be evaluated in the pre and postoperative period for cognitive dysfunction and the appearance of delirium syndromes. In the intraoperative period, an EEG-based monitorization will be performed using a SedLine (Masimo, CA) Monitor.

Description

Inclusion Criteria:

  • Age ≥ 60 years old
  • Scheduled for high-risk elective surgery
  • Need for at least 3 days of hospital stay
  • Surgery performed under general anesthesia
  • Written informed consent for participation in the trial

Exclusion Criteria:

  • Patients with preoperative delirium or dementia
  • Patients using neuroleptics drug during the past 6 months
  • Patients with a history of encephalopathy, psychosis, stroke or brain trauma with neurologic sequels
  • The use of ketamine or dexmedetomidine during surgery
  • Emergency surgery
  • Mechanical ventilation during the 72 after surgery
  • Analphabetism
  • Patients who do not talk Spanish
  • Patients included in another clinical trial

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Postoperative Delirium Risk Patients
Preoperative cognitive function testing- EEG monitorization during surgery - Postoperative function testing
Intraoperative EEG monitorization

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Delirium and Subsyndromal Delirium
Time Frame: 5 Postoperative days
Incidence of Delirium and Subsyndromal Delirium in the cohort
5 Postoperative days

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Death
Time Frame: Perioperative period
Number of deceased patients
Perioperative period
Delirium Severity
Time Frame: 5 Postoperative days
Delirium severity assessed by Cognitive Assessment Method - Severity
5 Postoperative days
Delirium Duration
Time Frame: Perioperative period
Duration of delirium during the perioperative period
Perioperative period
Need for Mechanical Ventilation assistance
Time Frame: Perioperative period
Number of patients that needed mechanical ventilation
Perioperative period
Reintervention
Time Frame: Perioperative period
Number of patients that needed another surgery after primary intervention
Perioperative period
Unanticipated ICU hospitalization
Time Frame: Perioperative period
Number of patients that needed unanticipated intensive care unit (ICU) care
Perioperative period

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Study Chair: José I. Egaña, M.D./Ph.D., University of Chile

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 4, 2021

Primary Completion (Actual)

August 4, 2022

Study Completion (Actual)

August 4, 2022

Study Registration Dates

First Submitted

December 27, 2019

First Submitted That Met QC Criteria

December 30, 2019

First Posted (Actual)

January 2, 2020

Study Record Updates

Last Update Posted (Actual)

August 7, 2023

Last Update Submitted That Met QC Criteria

August 4, 2023

Last Verified

August 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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