Pharmacodynamic modeling of propofol-induced general anesthesia in young adults
Target controlled infusion (TCI) of intraveneous anesthetics can assist clinical practitioners to provide improved care for General Anesthesia (GA). Pharmacoki-netic/Pharmacodynamic (PK/PD) models help in relating the anesthetic drug infusion to observed brain activity inferred from electroencephalo...
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| Format: | Article |
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Institute of Electrical and Electronics Engineers (IEEE)
2019
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| Online Access: | https://hdl.handle.net/1721.1/123300 |
| _version_ | 1811089698094841856 |
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| author | Chakravarty, Sourish Nikolaeva, Ksenia Kishnan, Devika Flores, Francisco J. Purdon, Patrick Lee Brown, Emery Neal |
| author2 | Picower Institute for Learning and Memory |
| author_facet | Picower Institute for Learning and Memory Chakravarty, Sourish Nikolaeva, Ksenia Kishnan, Devika Flores, Francisco J. Purdon, Patrick Lee Brown, Emery Neal |
| author_sort | Chakravarty, Sourish |
| collection | MIT |
| description | Target controlled infusion (TCI) of intraveneous anesthetics can assist clinical practitioners to provide improved care for General Anesthesia (GA). Pharmacoki-netic/Pharmacodynamic (PK/PD) models help in relating the anesthetic drug infusion to observed brain activity inferred from electroencephalogram (EEG) signals. The parameters in popular population PK/PD models for propofol-induced GA (Marsh and Schnider models) are either verified based on proprietary functions of the EEG signal which are difficult to correlate with the neurophysiological models of anesthesia, or the marker itself needs to be estimated simultaneously with the PD model. Both these factors make these existing paradigms challenging to apply in real-time context where a patient-specific tuning of parameters is desired. In this work, we propose a simpler EEG marker from frequency domain description of EEG and develop two corresponding PK/PD modeling approaches which differ in whether they use existing population-level PK models (approach 1) or not (approach 2). We use a simple deterministic parameter estimation approach to identify the unknown PK/PD model parameters from an existing human EEG data-set. We infer that both approaches 1 and 2 yield similar and reasonably good fits to the marker data. This work can be useful in developing patient-specific TCI strategies to induce GA. |
| first_indexed | 2024-09-23T14:23:17Z |
| format | Article |
| id | mit-1721.1/123300 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T14:23:17Z |
| publishDate | 2019 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1233002022-10-01T21:01:39Z Pharmacodynamic modeling of propofol-induced general anesthesia in young adults Chakravarty, Sourish Nikolaeva, Ksenia Kishnan, Devika Flores, Francisco J. Purdon, Patrick Lee Brown, Emery Neal Picower Institute for Learning and Memory Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Massachusetts Institute of Technology. Institute for Medical Engineering & Science Target controlled infusion (TCI) of intraveneous anesthetics can assist clinical practitioners to provide improved care for General Anesthesia (GA). Pharmacoki-netic/Pharmacodynamic (PK/PD) models help in relating the anesthetic drug infusion to observed brain activity inferred from electroencephalogram (EEG) signals. The parameters in popular population PK/PD models for propofol-induced GA (Marsh and Schnider models) are either verified based on proprietary functions of the EEG signal which are difficult to correlate with the neurophysiological models of anesthesia, or the marker itself needs to be estimated simultaneously with the PD model. Both these factors make these existing paradigms challenging to apply in real-time context where a patient-specific tuning of parameters is desired. In this work, we propose a simpler EEG marker from frequency domain description of EEG and develop two corresponding PK/PD modeling approaches which differ in whether they use existing population-level PK models (approach 1) or not (approach 2). We use a simple deterministic parameter estimation approach to identify the unknown PK/PD model parameters from an existing human EEG data-set. We infer that both approaches 1 and 2 yield similar and reasonably good fits to the marker data. This work can be useful in developing patient-specific TCI strategies to induce GA. National Institutes of Health (U.S.) (Grant R01-GM104948) National Institutes of Health (U.S.) (Grant P01-GM118629) 2019-12-17T20:44:27Z 2019-12-17T20:44:27Z 2017-12 2017-11 Article http://purl.org/eprint/type/ConferencePaper 9781538613924 https://hdl.handle.net/1721.1/123300 Chakravarty, Sourish et al. "Pharmacodynamic modeling of propofol-induced general anesthesia in young adults." 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), November 2017, Bethesda, Maryland, USA, Institute of Electrical and Electronics Engineers (IEEE), December 2017. © 2017 IEEE http://dx.doi.org/10.1109/hic.2017.8227580 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Prof. Brown via Courtney Crummett |
| spellingShingle | Chakravarty, Sourish Nikolaeva, Ksenia Kishnan, Devika Flores, Francisco J. Purdon, Patrick Lee Brown, Emery Neal Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title | Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title_full | Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title_fullStr | Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title_full_unstemmed | Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title_short | Pharmacodynamic modeling of propofol-induced general anesthesia in young adults |
| title_sort | pharmacodynamic modeling of propofol induced general anesthesia in young adults |
| url | https://hdl.handle.net/1721.1/123300 |
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