Cognitive Outcomes and Neuroimages Associated With Anesthesia-Related EEG Signatures

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Mass General Brigham

Status

Active, not recruiting

Conditions

General Anesthesia
Elderly

Treatments

Device: EEG

Study type

Observational

Funder types

Other

Identifiers

NCT03442179
2017P000413

Details and patient eligibility

About

In this study, we propose to evaluate the relationship between the alpha oscillation dynamics and the signals derived from the brain images related to brain aging.

Full description

In 1955 Bedford reported the "adverse cerebral effects of anesthesia on old people" and suggested precautions in relation to operations on the elderly. Since then, many studies have investigated the incidence of and the risk factors for postoperative cognitive dysfunction (POCD). The incidence ranges from 8.9% to 46.1% and advanced age, preoperative mild cognitive impairment, extensive surgical procedures and other factors have been identified as important risk factors. The incidence has been reported to be as high as 41.4% at hospital discharge and 12.7% at 3 months after surgery in the elderly (60 years or older). Postoperative delirium (POD) is a more acute complication of major surgery, affecting 10-70% of surgical patients 60 years and older. Some studies have shown the association between POD and early POCD, and even POD and POCD are commonly reported as being part of the same continuum. Whether this is true or not, both represent postoperative cognitive deterioration, and age is the predominant risk factor for both. Every day in the United States, nearly 100,000 patients undergo general anesthesia and sedation for surgical and diagnostic procedures. Approximately 35% of all surgical procedures are performed on adults older than 65 years. Considering the aging surgical population, the burden of postoperative cognitive disorders will almost certainly increase over time. Although many factors, such as surgical stress, inflammation, and other comorbidities may contribute to POCD, there is evidence that anesthetic exposure plays a major role. Pre-clinical studies have demonstrated that exposure to anesthetic drugs is neurotoxic, and that older animals are particularly vulnerable. It is also generally understood that the elderly are more sensitive to anesthetics, meaning that lower doses of anesthetic drugs are required to induce and maintain unconsciousness. This has led to age-adjusted guidelines for anesthetic dosing, which in theory could be used to mitigate potentially harmful anesthetic exposures. However, these guidelines describe the age-dependent dose-response relationships for a population of patients; individual drug requirements can vary significantly, by a factor of ~2 above or below the levels recommended by population-based models. In the absence of a means to measure and monitor individual drug responses, anesthesiologists would tend to err on the side of administering more anesthetic than required, to minimize the probability of patient awareness across the population as a whole. Fortunately, in recent years, significant progress has been made to understand the neural mechanisms of anesthesia-induced unconsciousness, making it possible to monitor individual patients' drug responses using the electroencephalogram (EEG). Increasing concentrations of the commonly-used GABAergic anesthetic drugs, such as propofol and sevoflurane, induce a stereotyped sequence of brain oscillations with increasing drug concentration. These brain oscillations are directly related to the states of sedation and unconsciousness induced by anesthetic drugs, and readily observed using the EEG. At lower concentrations, propofol and sevoflurane, two of the most commonly used anesthetic drugs, induce beta oscillations (12-25 Hz). At concentrations producing unconsciousness for general anesthesia, these drugs produce frontal alpha (8-12 Hz) and slow (0.1 to 1 Hz) oscillations. At still higher concentrations, propofol and sevoflurane produce a pattern referred to as burst suppression, a deep state of brain inactivation in which brain activity is punctuated by long periods of neuronal and EEG silence. However, it is now known that elderly patients do not always exhibit this canonical EEG signature under general anesthesia. First, it was described that ageing was associated with a decrease in the frontal alpha power. Then, other studies suggested that older patients with poor preoperative cognitive performance also lack the alpha band under anesthesia. And finally, our group demonstrated that a low alpha power is also associated with a higher risk to develop burst suppression under anesthesia. Nonetheless, the potential mechanism related to the lower alpha power with ageing and cognitive function remains unknown. In this study, we propose to evaluate the relationship between the alpha oscillation dynamics and the signals derived from brain images related to brain aging. We hypothesize that: 1) Brain imaging signals will correlate with the alpha power induced by anesthetics, and 2) Aging brain imaging features will be associated with postoperative cognitive recovery.

Enrollment

24 patients

Sex

All

Ages

65+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • 65 years old or above (male and female)
  • American Society of Anesthesiologists (ASA) physical status classification of I, II or III.
  • Candidates scheduled for open or laparoscopic general surgical procedures under general anesthesia
  • No cognitive impairment base on Telephone Interview for Cognitive Status (TICS)
  • Fluency in English Language

Exclusion criteria

  • Prior diagnosis of dementia
  • Prior diagnosis of Alzheimer's Disease

Prior history of psychiatric or neurological diseases including:

  • Schizophrenia
  • Parkinsonism
  • Epilepsy or seizure
  • Brain injury
  • Brain tumors/metastases
  • Encephalitis
  • Stroke, CVA, TIA

Drug or alcohol abuse:

  • Any history of IV drug abuse
  • Alcohol/drug (non-IV) abuse <10 years
  • Language impairment
  • Hearing or visual impairment
  • Severe obesity (BMI ≥40 kg/m2)
  • MRI contraindications, such as presence of pacemakers, aneurysm clips, artificial heart valves, ear implants, metal fragments, or foreign objects in the eyes, skin, or body
  • Body weight of > 300 lbs. (weight limit of the MRI table)

Trial design

24 participants in 2 patient groups

Treatment Group
Active Comparator group
Description:
Anesthesiologists in the treatment group use the unprocessed EEG waveforms and EEG spectrogram to maintain appropriate levels of unconsciousness for general anesthesia while avoiding burst suppression.
Treatment:
Device: EEG
Control Group
No Intervention group
Description:
Anesthesiologists managing patients assigned to the control group will manage each anesthetic based on their clinical judgment, using standard monitoring required by American Society of Anesthesiologists (ASA), which include cardiac and respiratory monitoring, but not EEG monitoring.

Trial contacts and locations

1

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Central trial contact

Patrick L. Purdon, PhD; Pegah Kahaliardabili, MD

Data sourced from clinicaltrials.gov

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