1, drug peak concentration: the highest blood drug concentration after administration. This parameter is an important index reflecting the absorption speed and degree of drugs in the body.
2. Time to peak: the time required to reach the peak drug concentration after administration. This parameter reflects the speed at which the drug enters the body. The faster the absorption speed, the shorter the peak time.
3. Terminal elimination rate: the elimination rate constant of terminal plasma concentration. The plasma concentration is logarithmic, and the negative slope value obtained after linear regression of time intercropping is the terminal elimination rate.
4. Area under the drug-time curve: the area surrounded by the blood drug concentration curve on the time axis. This parameter is an important index to evaluate the degree of drug absorption and reflects the exposure characteristics of drugs in vivo.
Clinical significance:
Pharmacokinetics, as a science dealing with the dynamic process of drugs in vivo by mathematical analysis, has great theoretical value and is an important part of "mathematical pharmacy"
Its basic analytical methods have penetrated into biopharmaceutics, clinical pharmacy, pharmacotherapy, clinical pharmacology, molecular pharmacology, biochemistry, analytical chemistry, pharmacy, pharmacology and toxicology and other scientific fields, which have become the most important and close foundation of these disciplines and promoted their vigorous development.
2. Pharmacokinetics has a wide range of practical significance. Its development will objectively evaluate the existing drugs, actively design new drugs, improve drug dosage forms, and provide drugs with high efficiency, quick effect, long-term effect and low toxic and side effects, especially for clinical rational drug use.
Through the study of pharmacokinetic characteristics, it is of great practical value to select the best dose, calculate the administration cycle, load dose, whether continuous administration will accumulate in the body, and design the best administration scheme for clinical treatment.