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Machine-learning Algorithm to Differentiate Intraoperative Ketamine Dosing Based on Electroencephalographic Density Spectrum Array Analysis

Machine-learning Algorithm to Differentiate Intraoperative Ketamine Dosing Based on Electroencephalographic Density Spectrum Array Analysis

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05256264
Enrollment
90
Registered
2022-02-25
Start date
2022-03-01
Completion date
2022-12-31
Last updated
2022-08-17

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Density Spectrum Array, Electroencephalographic Density Spectrum Array Analysis, Ketamine, Multimodal General Anesthesia

Keywords

General anesthesia, Ketamine, Density Spectrum Array, Electroencephalogram, Multimodal General Anesthesia, Machine learning

Brief summary

Ketamine is widely used in the setting of multimodal general anesthesia, and the Electroencephalographic density spectral array (DSA) monitoring has been implemented in the practice of anesthesia. The purpose of this study is to investigate the dose-response EEG changes in patients during the perioperative period when ketamine is used. With the application of machine-learning algorithm, we aim to interpret the ketamine dosing precisely and accurately, based on the DSA obtained.

Detailed description

In this single-blinded randomized controlled trial, we enroll 90 patients undergoing major spine surgery, and candidates are divided into 3 groups: A (control group using sevoflurane only), B (sevoflurane + 3µg/kg ketamine infusion), C (sevoflurane + 6µg/kg/min ketamine infusion). Throughout the perioperative period, under standardized perioperative care, each patient will be monitored with EEG DSA. The data obtained will be utilized for machine-learning in the development of a algorithm to interpret the precise dosing of ketamine in respect of its effect on the EEG DSA. This study is also anticipated to boost the development of dose-response algorithm of other agents, promoting the advancement of the concept of multimodal general anesthesia

Interventions

DRUGKetamine

Ketamine infusion at different dose to observe EEG DSA changes

Sponsors

Taipei Veterans General Hospital, Taiwan
Lead SponsorOTHER_GOV

Study design

Observational model
OTHER
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
20 Years to 80 Years
Healthy volunteers
Yes

Inclusion criteria

1. Patients undergoing elective spine surgery 2. Aged 20-80 years old

Exclusion criteria

1. Pregnancy 2. Presence of major brain disorders: stroke, epilepsy, Parkinson's disease, etc. 3. Any of the following major organ disorders: 1. Chronic pulmonary disease (Clinically diagnosed severe chronic obstructive pulmonary disease or FEV1/FVC \<70% or FEV1 \<50%) 2. Heart failure (NYHA III or IV) 3. Chronic renal failure (eGFR\<60ml/min/1.73m2) 4. Ongoing sepsis or infection 5. Ongoing of history of CNS-acting medications/substances use (e.g.: sedatives, hypnotics, stimulants, etc.)

Design outcomes

Primary

MeasureTime frameDescription
Ketamine dosing based on EEG DSADSA EEG is placed before anesthesia starts, recorded throughout the operative procedure until emergence and patient is extubated. The saved EEG DSA data will be retrieved by the end of the day.The DSA is obtained from raw EEG by fast Fourier transformation. By interpreting the DSA, we can obtain the trends and changes of power within different frequencies over time, in respect to different ketamine dosing.

Countries

Taiwan

Contacts

Primary ContactHui Zen Hee
huizen.hee@gmail.com+886928507736

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026