Pharmacogenomics in Anesthesia
Copyright © 2017 Elsevier Inc. All rights reserved..
A significant number of commonly administered medications in anesthesia show wide clinical interpatient variability. Some of these include neuromuscular blockers, opioids, local anesthetics, and inhalation anesthetics. Individual genetic makeup may account for and predict cardiovascular outcomes after cardiac surgery. These interactions can manifest at any point in the perioperative period and may also only affect a specific system. A better understanding of pharmacogenomics will allow for more individually tailored anesthetics and may ultimately lead to better outcomes, decreased hospital stays, and improved patient satisfaction.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2017 |
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| Erschienen: |
2017 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:35 |
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| Enthalten in: |
Anesthesiology clinics - 35(2017), 2 vom: 19. Juni, Seite 285-294 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Saba, Ramsey [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 06.11.2017 Date Revised 02.12.2018 published: Print Citation Status MEDLINE |
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| doi: |
10.1016/j.anclin.2017.01.014 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM272083984 |
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| 520 | |a A significant number of commonly administered medications in anesthesia show wide clinical interpatient variability. Some of these include neuromuscular blockers, opioids, local anesthetics, and inhalation anesthetics. Individual genetic makeup may account for and predict cardiovascular outcomes after cardiac surgery. These interactions can manifest at any point in the perioperative period and may also only affect a specific system. A better understanding of pharmacogenomics will allow for more individually tailored anesthetics and may ultimately lead to better outcomes, decreased hospital stays, and improved patient satisfaction | ||
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