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Modeling Scenario

1-085-DrugBolus-ModelingScenario

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

Keywords: concentration sum of square errors bolus drug rate constant administer

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Abstract

Resource Image Given data on the concentration of a drug in the plasma of a human in mg/L at certain time intervals in hours can we determine the rate at which the drug leaves the plasma as well as the initial amount administered in a intravenous bolus of the drug?

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Article Context

Resource Type
Differential Equation Type
Qualitative Analysis
Application Area
Technology
Approach
Skills
Pedagogical Approaches
Vision and Change Core Competencies - Ability
Bloom's Cognitive Level

Description

A dose of 500 mg of a drug was administered to a healthy volunteer as an intravenous bolus

(IV bolus), i.e. single injection. We offers a diagram which shows the path of the drug. This is called a one-compartment model and it is presumed that the drug enters the compartment all at once in the case of an IV Bolus and leaves the plasma (say for the tissues of the body where it is destined to perform its mission) at a rate proportional to the concentration in the plasma.

Seven blood samples were collected at 1, 2, 3, 4, 6, 10, and 12 hours. Plasma was separated from each blood sample and analyzed for drug concentration. The first coordinate is time from intake of drug in hours, while the second coordinate is concentration in mg/L of the drug in the plasma.

Use the data and the information offered to address these issues.

  1. build a differential equation model for this drug elimination,
  2. estimate the initial concentration of the drug in the plasma,
  3. estimate the elimination rate constant, i.e. the rate constant with units 1/h which is the constant of proportionality in your differential equation model, and
  4. confirm your model in some manner.

Article Files

Authors

Author(s): Brian Winkel

SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations

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