Electroencephalographic Biomarker to Predict Acute Post-operatory Cognitive Dysfunction

NCT ID: NCT04214496

Last Updated: 2023-08-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

106 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-01-04

Study Completion Date

2022-08-04

Brief Summary

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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.

Detailed Description

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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.

Conditions

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Cognitive Dysfunction Postoperative Delirium

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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Postoperative Delirium Risk Patients

Preoperative cognitive function testing- EEG monitorization during surgery - Postoperative function testing

Sedline

Intervention Type DEVICE

Intraoperative EEG monitorization

Interventions

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Sedline

Intraoperative EEG monitorization

Intervention Type DEVICE

Eligibility Criteria

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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
Minimum Eligible Age

60 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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Masimo Corporation

INDUSTRY

Sponsor Role collaborator

University of Chile

OTHER

Sponsor Role lead

Responsible Party

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José Ignacio Egaña Tomic

Director

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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José I. Egaña, M.D./Ph.D.

Role: STUDY_CHAIR

University of Chile

Locations

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Hospital Clinico Universidad de Chile

Santiago, , Chile

Site Status

Instituto Nacional del Cancer

Santiago, , Chile

Site Status

Countries

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Chile

Other Identifiers

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ID19I10345

Identifier Type: -

Identifier Source: org_study_id

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