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NCT Number: NCT04214496

Electroencephalographic Biomarker to Predict Acute Post-operatory Cognitive Dysfunction

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.

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Key information

Age range

60 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Hospital Clinico Universidad de Chile, Santiago, Chile

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About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

SedLine

Device

Intraoperative EEG monitorization

Primary outcomes

  1. Delirium and Subsyndromal Delirium

    Time frame: 5 Postoperative days

    Incidence of Delirium and Subsyndromal Delirium in the cohort

Secondary outcomes

  1. Death

    Time frame: Perioperative period

    Number of deceased patients

  2. Delirium Severity

    Time frame: 5 Postoperative days

    Delirium severity assessed by Cognitive Assessment Method - Severity

  3. Delirium Duration

    Time frame: Perioperative period

    Duration of delirium during the perioperative period

  4. Need for Mechanical Ventilation assistance

    Time frame: Perioperative period

    Number of patients that needed mechanical ventilation

  5. Reintervention

    Time frame: Perioperative period

    Number of patients that needed another surgery after primary intervention

  6. Unanticipated ICU hospitalization

    Time frame: Perioperative period

    Number of patients that needed unanticipated intensive care unit (ICU) care

Sponsors and collaborators

Lead sponsor

University of Chile

Other

Collaborators

  • Masimo Corporation

Registry information

Official study title

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

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Jan 2, 2020
Registry last updated
Aug 7, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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