Anesthesia Clinical Trial
Official title:
The Application of Response Surface Model on Sedative Endoscopic Retrograde Cholangiopancreatography and Sedative Bronchoscopy
Verified date | March 2020 |
Source | Taipei Veterans General Hospital, Taiwan |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
The purpose of this study is to find the application of Response Surface Model on Sedative Procedures.
Status | Not yet recruiting |
Enrollment | 40 |
Est. completion date | July 31, 2020 |
Est. primary completion date | July 31, 2020 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 20 Years to 80 Years |
Eligibility |
Inclusion Criteria: - ASA Class II-III, - Aged 20-80 adult patients - Undergoing moderate sedation during ERCP (endoscopic retrograde cholangiopancreatography) and brochoscopy Exclusion Criteria: - Neurological disorders - Hearing impairment - History of habitual sedative medication - Alcoholism |
Country | Name | City | State |
---|---|---|---|
n/a |
Lead Sponsor | Collaborator |
---|---|
Taipei Veterans General Hospital, Taiwan |
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Response Surface Models | Pharmacodynamic response surface model is a mathematic model which provides information about when and what extent the patient will response to a specific physiological condition (pain, respiratory depression, anesthesia depth….) in a given combination drug concentration pairs. The calculated plasma or effect concentration of specific medications will be used to train iteratively by non-linear regression to find the optimal parameters to construct a new response surface model. Then the model will be validated by the observation data to see the accuracy and efficacy of the model. | 10 seconds from once the anesthetics were terminated to 10 minutes after the time of each patient's wake up | |
Primary | Evaluation of Response Surface Model Predictions | Model predictions were evaluated at the emergence period of moderate sedation or general anesthesia. Model predictions of OAA/S ranging from 0% to 100% were made every 10 seconds from once the anesthetics were terminated to 10 minutes after the time of each patient's wake up. Model predictions were compared with observations with graphical and temporal analyses | 10 seconds from once the anesthetics were terminated to 10 minutes after the time of each patient's wake up |
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