RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재

      마취영역에서 isobole과 response surface model을 이용한 약제의 상호작용 고찰 = An overview of pharmacodynamic drug interaction with isobole and response surface model in anesthesia

      한글로보기

      https://www.riss.kr/link?id=A103549936

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      Drug interaction is the principal concept of anesthetic practice. Typically, drug interactions are divided into three categories i.e., additive, synergistic, or infra-additive interactions. Pharmacodynamic drug interactions are typically described using mathematical models. The traditional model is an isobole, which is an iso-effect curve that shows dose or concentration combinations that result in equal effect. Response surface model is a pharmacodynamic tool that describes all isoboles and concentration effect curves for a given endpoint in one equation. In summarizing concentration-effect relationships, the response surface model allows anesthesiologists the versatility to work with precise and safe drug interactions. The aim of this review is to provide the reader with principal concepts of the isobole and response surface model and evaluate characteristics of most commonly used models, including 4 response surface models i.e., the Greco model, reduced Greco model, Minto model, and the Hierarchy model. In addition, the concept of population analysis using nonlinear mixed effects modeling is introduced.
      번역하기

      Drug interaction is the principal concept of anesthetic practice. Typically, drug interactions are divided into three categories i.e., additive, synergistic, or infra-additive interactions. Pharmacodynamic drug interactions are typically described usi...

      Drug interaction is the principal concept of anesthetic practice. Typically, drug interactions are divided into three categories i.e., additive, synergistic, or infra-additive interactions. Pharmacodynamic drug interactions are typically described using mathematical models. The traditional model is an isobole, which is an iso-effect curve that shows dose or concentration combinations that result in equal effect. Response surface model is a pharmacodynamic tool that describes all isoboles and concentration effect curves for a given endpoint in one equation. In summarizing concentration-effect relationships, the response surface model allows anesthesiologists the versatility to work with precise and safe drug interactions. The aim of this review is to provide the reader with principal concepts of the isobole and response surface model and evaluate characteristics of most commonly used models, including 4 response surface models i.e., the Greco model, reduced Greco model, Minto model, and the Hierarchy model. In addition, the concept of population analysis using nonlinear mixed effects modeling is introduced.

      더보기

      참고문헌 (Reference)

      1 Greco WR, "The search for synergy : a critical review from a response surface perspective" 47 : 331-385, 1995

      2 Heyse B, "Sevoflurane remifentanil interaction : comparison of different response surface models" 116 : 311-323, 2012

      3 Liou JY, "Response surface models in the field of anesthesia : A crash course" 53 : 139-145, 2015

      4 Nieuwenhuijs DJ, "Response surface modeling of remifentanilpropofol interaction on cardiorespiratory control and bispectral index" 98 : 312-322, 2003

      5 Ting CK, "Response surface model predictions of wake-up time during scoliosis surgery" 118 : 546-553, 2014

      6 Minto CF, "Response surface model for anesthetic drug interactions" 92 : 1603-1616, 2000

      7 Wang HL, "Response surface analysis of sevoflurane-remifentanil interactions on consciousness during anesthesia" 125 : 2682-2687, 2012

      8 Bi SS, "Remifentanil-sevoflurane interaction models of circulatory response to laryngoscopy and circulatory depression" 110 : 729-740, 2013

      9 Egan TD, "Remifentanil versus alfentanil : comparative pharmacokinetics and pharmacodynamics in healthy adult male volunteers" 84 : 821-833, 1996

      10 Mertens MJ, "Propofol reduces perioperative remifentanil requirements in a synergistic manner : response surface modeling of perioperative remifentanil-propofol interactions" 99 : 347-359, 2003

      1 Greco WR, "The search for synergy : a critical review from a response surface perspective" 47 : 331-385, 1995

      2 Heyse B, "Sevoflurane remifentanil interaction : comparison of different response surface models" 116 : 311-323, 2012

      3 Liou JY, "Response surface models in the field of anesthesia : A crash course" 53 : 139-145, 2015

      4 Nieuwenhuijs DJ, "Response surface modeling of remifentanilpropofol interaction on cardiorespiratory control and bispectral index" 98 : 312-322, 2003

      5 Ting CK, "Response surface model predictions of wake-up time during scoliosis surgery" 118 : 546-553, 2014

      6 Minto CF, "Response surface model for anesthetic drug interactions" 92 : 1603-1616, 2000

      7 Wang HL, "Response surface analysis of sevoflurane-remifentanil interactions on consciousness during anesthesia" 125 : 2682-2687, 2012

      8 Bi SS, "Remifentanil-sevoflurane interaction models of circulatory response to laryngoscopy and circulatory depression" 110 : 729-740, 2013

      9 Egan TD, "Remifentanil versus alfentanil : comparative pharmacokinetics and pharmacodynamics in healthy adult male volunteers" 84 : 821-833, 1996

      10 Mertens MJ, "Propofol reduces perioperative remifentanil requirements in a synergistic manner : response surface modeling of perioperative remifentanil-propofol interactions" 99 : 347-359, 2003

      11 Shafer SL, "Pharmacokinetics, pharmacodynamics, and rational opioid selection" 74 : 53-63, 1991

      12 Bouillon TW, "Pharmacodynamic interaction between propofol and remifentanil regarding hypnosis, tolerance of laryngoscopy, bispectral index, and electroencephalographic approximate entropy" 100 : 1353-1372, 2004

      13 Manyam SC, "Opioid-volatile anesthetic synergy : a response surface model with remifentanil and sevoflurane as prototypes" 105 : 267-278, 2006

      14 Luginbuhl M, "Noxious stimulation response index : a novel anesthetic state index based on hypnotic-opioid interaction" 112 : 872-880, 2010

      15 McEwan AI, "Isoflurane minimum alveolar concentration reduction by fentanyl" 78 : 864-869, 1993

      16 Hendrickx JF, "Is synergy the rule? A review of anesthetic interactions producing hypnosis and immobility" 107 : 494-506, 2008

      17 Kissin I, "General anesthetic action: an obsolete notion?" 76 : 215-218, 1993

      18 Short TG, "Efficient trial design for eliciting a pharmacokinetic-pharmacodynamic model-based response surface describing the interaction between two intravenous anesthetic drugs" 96 : 400-408, 2002

      19 Glass PS, "Drug interactions:volatile anesthetics and opioids" 9 (9): S18-S22, 1997

      20 이수일, "Drug interaction: focusing on response surface models" 대한마취통증의학회 58 (58): 421-434, 2010

      21 Chou TC, "Derivation and properties of Michaelis-Menten type and Hill type equations for reference ligands" 59 : 253-276, 1976

      22 Glass PS, "Anesthetic drug interactions : an insight into general anesthesia--its mechanism and dosing strategies" 88 : 5-6, 1998

      23 LaPierre CD, "An exploration of remifentanil-propofol combinations that lead to a loss of response to esophageal instrumentation, a loss of responsiveness, and/or onset of intolerable ventilatory depression" 113 : 490-499, 2011

      24 Johnson KB, "An evaluation of remifentanil propofol response surfaces for loss of responsiveness, loss of response to surrogates of painful stimuli and laryngoscopy in patients undergoing elective surgery" 106 : 471-479, 2008

      25 LaPierre CD, "A simulation study of common propofol and propofol-opioid dosing regimens for upper endoscopy : implications on the time course of recovery" 117 : 252-262, 2012

      26 Heyse B, "A response surface model approach for continuous measures of hypnotic and analgesic effect during sevoflurane-remifentanil interaction : quantifying the pharmacodynamic shift evoked by stimulation" 120 : 1390-1399, 2014

      27 Kern SE, "A response surface analysis of propofol-remifentanil pharmacodynamic interaction in volunteers" 100 : 1373-1381, 2004

      더보기

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 선정 (계속평가) KCI등재
      2013-11-27 학회명변경 한글명 : 대한마취과학회 -> 대한마취통증의학회 KCI등재후보
      2013-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2012-01-01 평가 등재후보학술지 유지 (기타) KCI등재후보
      2011-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2009-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.13 0.13 0.12
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.13 0.13 0.279 0.04
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼