Development of a Web Application for Simulating Plasma Drug Concentrations in Patients with Zolpidem Intoxication

Area of Science:

• Pharmacology
• Toxicology
• Clinical Informatics

Background:

• Zolpidem, a common hypnotic, is increasingly subject to intentional overdose.
• Effective clinical tools are needed to manage zolpidem intoxication.

Purpose of the Study:

• To develop a predictive tool for physicians to assess zolpidem overdose.
• To create a user-friendly web application for simulating zolpidem plasma concentrations.

Main Methods:

• Established a population pharmacokinetic (PK) model using data from 23 healthy volunteers.
• Developed a web application utilizing R packages (rxode2, nonmem2rx, shiny).
• The PK model was a one-compartment model with first-order absorption and elimination.

Main Results:

• Identified key PK parameters: CL (16.9 L/h), Ka (5.41 h⁻¹), Vd (61.7 L), ALAG (0.394 h).
• Successfully developed a web application for simulating and visualizing zolpidem concentration profiles.
• The tool enables prediction of drug levels based on the established PK model.

Conclusions:

• A novel web application based on a population PK model can aid in managing zolpidem overdose.
• This tool provides essential clinical information for physicians treating zolpidem intoxication.
• The application facilitates simulation of plasma zolpidem concentrations for better patient assessment.