- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04214496
Electroencephalographic Biomarker to Predict Acute Post-operatory Cognitive Dysfunction
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
Study Overview
Status
Conditions
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
Enrollment (Actual)
Contacts and Locations
Study Locations
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-
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Santiago, Chile
- Instituto Nacional del Cancer
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Santiago, Chile, 8380456
- Hospital Clínico Universidad de Chile
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
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
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
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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
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5 Postoperative days
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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
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Duration of delirium during the perioperative period
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Perioperative period
|
|
Need for Mechanical Ventilation assistance
Time Frame: Perioperative period
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Number of patients that needed mechanical ventilation
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Perioperative period
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Reintervention
Time Frame: Perioperative period
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Number of patients that needed another surgery after primary intervention
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Perioperative period
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Unanticipated ICU hospitalization
Time Frame: Perioperative period
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Number of patients that needed unanticipated intensive care unit (ICU) care
|
Perioperative period
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: José I. Egaña, M.D./Ph.D., University of Chile
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- ID19I10345
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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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