| Project/Area Number |
08671770
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Anesthesiology/Resuscitation studies
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| Research Institution | KEIO UNIVERSITY |
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Principal Investigator |
TSUZAKI Koichi Keio University, Anesthesiology, Assistant Professor, 医学部, 講師 (90138107)
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| Co-Investigator(Kenkyū-buntansha) |
TATARA Tsuneo Keio University, Anesthesiology, Assistant, 医学部, 助手 (30207039)
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| Project Period (FY) |
1996 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥1,900,000 (Direct Cost: ¥1,900,000)
Fiscal Year 1998: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1997: ¥500,000 (Direct Cost: ¥500,000)
Fiscal Year 1996: ¥900,000 (Direct Cost: ¥900,000)
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| Keywords | bioimpedance analysis / pharmacokinetics / body fluid composition / vecuronium / propofol |
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| Research Abstract |
This study was originally intended to clarify the relationships between pharmacokinteic parameters of intravenous drugs and the body fluid composition estimated from bioimpedance analysis (BIA). However, conventional (whole body) BIA may not adequately reflect the distribution of extracellular fluid, because such fluid distribution may be quite uneven among different body parts. In this regard, we have shown that segmental BLA from each body segments (arm, trunk and leg) is superior to whole body BIA which tends to underestimate the volume of extracellular fluid. On the other hand, inflammatory changes and edema due to perioperative tissue injury may have significant influences on both body fluid distribution and the fate of drug administered intravenously. Thus, we further evaluated the perioperative changes in BIA with the newly derived theoretical model based on the electrical property of colloid suspension. Although we found good correlation between BIA and the model, we still need the credibility of the model in utilizing those parameters to establish an optimized drug dosing scheme. Our goal is to extract clinically useful predictors for planning dosing strategy from BIA and further theoretical refinement is still remained to be established.
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