5.3 Clinical pharmacokinetics and pharmacotherapeutic Drug monitoring Pharm D
- Introduction to Clinical pharmacokinetics.
- Design of dosage regimens:
Nomograms and Tabulations in designing dosage regimen, Conversion from intravenous to oral dosing, Determination of dose and dosing intervals, Drug dosing in the elderly and pediatrics and obese patients. - Pharmacokinetics of Drug Interaction:
a. Pharmacokinetic drug interactions
b. Inhibition and Induction of Drug metabolism
c. Inhibition of Biliary Excretion. - Therapeutic Drug monitoring:
a. Introduction
b. Individualization of drug dosage regimen (Variability – Genetic, Age and Weight, disease, Interacting drugs).
c. Indications for TDM. Protocol for TDM.
d. Pharmacokinetic/Pharmacodynamic Correlation in drug therapy.
e. TDM of drugs used in the following disease conditions: cardiovascular disease, Seizure disorders, Psychiatric conditions, and Organ transplantations. - Dosage adjustment in Renal and hepatic disease.
a. Renal impairment
b. Pharmacokinetic considerations
c. A general approach for dosage adjustment in renal disease.
d. Measurement of Glomerular Filtration rate and creatinine clearance.
e. Dosage adjustment for uremic patients.
f. Extracorporeal removal of drugs.
g. Effect of Hepatic disease on pharmacokinetics. - Population Pharmacokinetics.
a. Introduction to Bayesian Theory.
b. Adaptive method or Dosing with feedback.
c. Analysis of Population pharmacokinetic Data. - Pharmacogenetics
a. Genetic polymorphism in Drug metabolism: Cytochrome P-450 Isoenzymes.
b. Genetic Polymorphism in Drug Transport and Drug Targets.
c. Pharmacogenetics and Pharmacokinetics/Pharmacodynamic considerations
Fifth Year Pharm D Subjects
| 5.1 | Clinical Research |
| 5.2 | Pharmacoepidemiology and Pharmacoeconomics |
| 5.3 | Clinical Pharmacokinetics & Pharmacotherapeutic Drug Monitoring |
| 5.4 | Clerkship |
| 5.5 | Project work (Six Months) |
Suggested readings
Recommended readings:
Performance Monitoring and Updates in AI-Enabled Medical Devices: FDA’s Guiding Principles
Lifecycle Management in AI-Enabled Medical Devices: FDA’s Comprehensive Framework
Data Management in AI-Enabled Medical Devices: Key to Safety and Effectiveness
