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dc.contributor.author
Sartori, Valentina
dc.contributor.supervisor
Morari, Manfred
dc.contributor.supervisor
Schnider, Thomas
dc.contributor.supervisor
Wunderli-Allenspach, Heidi
dc.date.accessioned
2017-08-14T14:45:03Z
dc.date.available
2017-06-09T11:53:22Z
dc.date.available
2017-08-14T14:45:03Z
dc.date.issued
2006
dc.identifier.isbn
3-86537-966-4
en_US
dc.identifier.isbn
978-3-86537-966-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/37215
dc.identifier.doi
10.3929/ethz-a-005244049
dc.description.abstract
Considering the advantages obtained through the use of mathematical models in the clinical practice of anesthesia, this thesis proposes strategies for optimal parameter estimation of such models and for the consequent modelbased definition of an ideal drug administration. The goals of the work are summarized in Chapter 1. For an easy understanding of the topics, the basic concepts of pharmacokinetic and pharmacodynamic are defined and described in Chapter 2. In Chapter 3 we present two revolutionary methods for the optimal administration of multiple drugs for post-operative pain management. The first method bases on a black-box algorithm, which uses the information retrieved from a group of combinations of the drugs of interest to identify new combinations to be tested to move towards the optimal analgesic point. The algorithm has been successfully applied in clinical practice. The second methods is based on the development of a mathematical model describing the relationship between dose and effect for n drugs, as a function of their interactions. From the analysis of the model, guidelines for drug administration ensuring maximal benefits for the patient can be extracted. In Chapter 4 we exploit the problem of large inter-patient variability in terms of response to drug administration. Such variability is associated to the incapability of pharmacokinetic and pharmacodynamic population models to correctly predict the response of the single individual. To compensate for that, we propose and test a strategy for the on-line individual identification of some of the model parameters. In Chapter 5 we analyze the influence of the experimental conditions on parameter estimation of a pharmacokinetic model. Being such models used to dose drugs, a good estimation of their parameters is needed to guarantee safety of the patients. For this purpose, using analytical tools, we propose a framework to identify the experimental conditions providing optimal parameter estimation. The main achievements and outlook are proposed in Chapter 6.
en_US
dc.language.iso
en
en_US
dc.publisher
Cuvillier Verlag
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
MODELLRECHNUNG UND SIMULATION IN DER PHARMAZIE
en_US
dc.subject
ANESTHETICS (PHARMACY)
en_US
dc.subject
MATHEMATICAL MODELING AND SIMULATION IN PHARMACY
en_US
dc.subject
PHARMAKODYNAMIK + ARZNEIMITTELWIRKUNG (PHARMAKOLOGIE)
en_US
dc.subject
ANÄSTHETIKA (PHARMAZIE)
en_US
dc.subject
ARZNEIMITTELVERABREICHUNG + ARZNEIMITTELANWENDUNGSFORMEN (PHARMAKOLOGIE)
en_US
dc.subject
PHARMACODYNAMICS + DRUG ACTION (PHARMACOLOGY)
en_US
dc.subject
DRUG ADMINISTRATION + TYPES OF DRUG ADMINISTRATION (PHARMACOLOGY)
en_US
dc.title
Optimal modeling and drug administration for anesthesia in clinical practice
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.size
174 S.
en_US
ethz.version.edition
1. Auflage
ethz.code.ddc
6 - Technology, medicine and applied sciences::610 - Medical sciences, medicine
en_US
ethz.identifier.diss
16498
en_US
ethz.identifier.nebis
005244049
ethz.publication.place
Göttingen
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02650 - Institut für Automatik (IfA) / Automatic Control Laboratory (IfA)::03416 - Morari, Manfred (emeritus)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich, direkt::00012 - Lehre und Forschung, direkt::00007 - Departemente, direkt::02140 - Departement Informationstechnologie und Elektrotechnik / Department of Information Technology and Electrical Engineering::02650 - Institut für Automatik (IfA) / Automatic Control Laboratory (IfA)::03416 - Morari, Manfred (emeritus)
ethz.date.deposited
2017-06-09T11:53:52Z
ethz.source
ECOL
ethz.source
ECIT
ethz.identifier.importid
imp59364e35d0aed69185
ethz.identifier.importid
imp59366aa148b3331026
ethz.ecolpid
eth:28973
ethz.ecitpid
pub:59503
ethz.eth
yes
en_US
ethz.availability
Closed access
en_US
ethz.rosetta.installDate
2017-07-25T12:25:02Z
ethz.rosetta.lastUpdated
2017-08-14T14:45:27Z
ethz.rosetta.exportRequired
false
ethz.rosetta.versionExported
true
ethz.COinS
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