Pharmacokinetics : principles and applications
著者
書誌事項
Pharmacokinetics : principles and applications
McGraw-Hill, c2002
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This unique book will present both the mathematical concepts required to understand pharmacokinetics along with applications that make it real for pharmaceutical care. It is designed for the first pharmacokinetics course, but unlike most of the other books for this course, which only deal with the mathematical constructs, this book will introduce applications as well. Pharmacokinetics is a required subject in all pharmacy programs. Pharmacokinetics describes what the body does to a drug: it involves the processes of drug absorption, biotransformation/metabolism, distribution, and elimination. This is a critical subject for pharmacists because it provides a basis for understanding how drugs produce their effects and how there can be different responses in different patients and/or different effects in the same patient at different times.
目次
Chapter 1: Groundwork. Chapter 2: General Introduction of Physiological Modeling and Compartmental Analysis. Chapter 3: Routes of Administration and Drug Absorption. Chapter 4: Drug Distribution. Chapter 5: Drug Elimination. Chapter 6: Linear One-Compartment Model with Instantaneous Input and First-Order Output. Chapter 7: Linear One-Compartment Model with Zero-Order Input and First-Order Output. Chapter 8: Linear One-Compartment Model with Zero-Order Input and First-Order Output. Chapter 9: Analysis of Urinary Data. Chapter 10: Linear One-Compartment Model: Multiple Dosing Kinetics. Chapter 11: Linear Two-Compartment Model with Instantaneous Input and First-Order Output. Chapter 12: Linear Two-Compartment Model: Multiple Dosing Kinetics. Chapter 13: General Approaches of Dosage Adjustment for Patients with Renal Impairment. Chapter 14: Effect of Dialysis of Pharmacokinetics of Drugs. Chapter 15: Bioavailability and Bioequivalence Evaluation. Chapter 16: Noncompartmental Approach in Pharmacokinetics Based on Statistical Moments. Appendix A: Answers to Assignments.
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