Dosage Adjustment in Polypharmacy Management using Age Specific PK Simulation Algorithms

Authors

  • Dr. Meera Jain Author
  • Dr. Arjun Mahadevan Author

Keywords:

Polypharmacy, Geriatric Pharmacotherapy, Age-Specific Pharmacokinetics, Model-Informed Precision Dosing (MIPD), Pharmacokinetic Simulation, Dosage Optimization, Clinical Decision Support Systems.

Abstract

Polypharmacy in older people is an important clinical issue with drug pharmacokinetic changes associated 
with aging that enhance the risk of adverse drug effects and loss of therapeutic efficacy. In this hypothesis, 
a model-informed precision dosing (MIPD) approach is assumed, utilizing age-scaled pharmacokinetic 
(PK) simulation algorithms to personalize drug therapy in the management of polypharmacy. Clinical 
information was collected from older people and used to estimate crucial PK parameters such as clearance 
and volume of distribution. Simulations were run to predict patient-specific drug concentration-time 
profiles for five drugs of frequent use. Dosage adjustment was then suggested based on simulated systemic 
exposure (AUC and Cmax) and confirmed against the observed results. The outcomes showed that more 
than 70% of the patients needed dose adjustment, especially for kidney-excreting or minimally clear drugs. 
A large number of patients achieved therapeutic targets after adjustments with simulation, validating the 
model's utility. These results promise well for future age-adjusted PK modeling to reduce drug toxicity and 
maximize the safety and efficacy of treatment in multimorbid elderly patients.

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Published

2025-12-31

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Section

Articles

How to Cite

Jain, M., & Mahadevan, A. (2025). Dosage Adjustment in Polypharmacy Management using Age Specific PK Simulation Algorithms. Clinical Journal for Medicine, Health and Pharmacy, 3(4), 13-22. https://cjmhp.com/index.php/journal/article/view/3.4.02