This is a systems model of the concentration of a drug in the bloodstream as a function of time
and the doses. The user determines the dosage and doses per day, as well as the absorption and
excretion rates and the blood volume of the patient. A graph shows the concentration of the drug
in the body over the course of 48 hours.
Background Information
Ideally, medicine would function best if it could maintain a constant concentration throughout the
body, but this is not feasible. Instead, it is important for pharmacologists to set the dosages
and timing such that the concentration of the drug stays within a certain range. The two
quantities of note are the concentration of medicine in the intestines and that in the plasma. As
medicine is taken in pill form, it first passes through the digestive system before reaching the
bloodstream. From there, it is slowly excreted, requiring additional doses to maintain
concentration.
Science/Math
The fundamental principle behind this model is HAVE = HAD + CHANGE. The concentration of
medication in the blood stream depends on the amount of medication previously in the intestines
and on the rate of excretion. The more medicine in the blood stream, the more that will be
excreted each time step.
Every time step, the following things happen:
Medicine moves into the intestines according to the player-set doses per day and dosage per day.
Medicine in the Intestines is absorbed into the blood stream according to the player-set
absorption rate.
Absorption = Absorption rate * Medicine in Intestines
Medicine in the plasma is excreted according to the player-set excretion rate.
Excretion = Excretion rate * Plasma level
The concentration of medication in the plasma is determined by the player-set body volume of the
patient.
Plasma Concentration = Plasma Level / Body Volume
This model exhibits characteristics of a periodic function and an exponential decay function. The
following equation for exponential functions is referenced in Learning Objective 1:
The equation for an exponential decay function is the following:
y = a*(1-r)^t
where a is the initial amount of the substance, r is the rate of decay, and t is the time period
when the decay is taking place. In this dosing model, this equation changes to the following:
Amount of Medicine in Plasma = Initial Amount*(1 - Excretion Rate)^Time(Hours)
In this model the excretion rate constant is defined as .693.
Example: In Objective One students are asked to find out the amount of medicine in a patient's
blood after 6 hours with the following parameters: the initial amount in the plasma is 6,000mg and
the half-life of the medication is 3 hours. Below is the solution using the above equations:
An effective way of introducing this model is to ask students to brainstorm the process medicine
takes in passing through a patient's body. Ask the following questions:
How do people take medications? What are the different forms of medication? Pill, syrup,
injection, under the tongue
How do these different forms of medication eventually enter the bloodstream so the patient can
feel the effects? What parts of the body/organs do they have to pass through?
Once the medication gets into the bloodstream, how long does it stay there? What characteristics
of the medication and the person determine how long the effect lasts?
How do doctor's try to make sure a medication is at the right concentration in a patient's body
throughout the day? What factors do they have to consider?
Implementation:
How to use the Model
This relatively in-depth model has a number of parameters that can be manipulated to produce
different results:
The "Body volume" parameter determines the liters of blood in the patient's body through which
the medication will be distributed.
The "Dosage per day" parameter determines the total dose of medication taken by the patient
throughout the day.
The "Dosage interval" parameter determines the number of hours between each dose of medication.
The "Delay" parameter determines the number of hours before the first dose is taken.
The "Absorption rate" parameter determines the proportion of the medicine absorbed from the
intestines into the blood stream each time step.
The "Excretion rate" parameter determines the proportion of the medicine excreted from the
plasma each time step.
The "dt" parameter stands for Delta Time and represents the frequency that the data in the model
is calculated in hours.
* The Doses per day and Dose parameters are determined by the other parameters. They should not
be changed by the user.
All of the aforementioned parameters are manipulated by clicking and dragging their respective
sliders. The maximum, minimum, and step values for each parameter are pre-set. Any changes made to
the sliders take effect immediately.
The concentration of medicine in the plasma over time is displayed immediately in graphical form
to the right of the model.
For a complete tutorial on how to use Excel, please go to the following link:
http://shodor.org/tutorials/excel/IntroToExcel.
Learning Objectives:
Understand exponential decay as it relates to the saturation of medicine in the bloodstream
Recognize and understand the applications of periodic functions
Understand the effect of each parameter on the medicine concentration in the intestines and
blood over time
Objective 1
To accomplish this objective, have students run the simulation with the default parameters, and
observe the graphs. Write on the board the equation determining the amount of medicine excreted
from the blood every time step (Excretion = Excretion rate * Plasma level). Ask the following
questions:
Why does the patient have to keep taking medication at regular intervals? Why does the amount of
medicine in the blood stream decrease slowly over time?
What is the rate at which the medication is being excreted from the system? What parameter
controls that rate?
3) Supposing the patient has 6000 mg of a medication in their blood stream. If the medication
has a half-life of 3 hours, how much of the medication will be in their bloodstream after 3
hours? 6 hours? 12 hours? 24 hours? Etc. If the medicinal level of the medication is between
2,000 mg and 6,000 mg, for how many hours will there be enough of the medicine in the patients'
blood for it to have an effect? Make sure to use the exponential decay equation mentioned in the
Science/Math section.
In what ways is this model showing exponential decay? In what ways is it not? Explain.
Objective 2
Have students play around with the doses per day and the dosage interval and observe the changes
in the graph. Explain periodic functions and ask them to explore the model with those ideas in
their head. Ask the following:
Is this model an example of a periodic function? Why or why not?
What would we need to change about the model to make it a periodic function?
What parameter determines the "period" of the function? Explain.
What other activities could be modeled using periodic functions?
Objective 3
Have students play around with each of the parameters to see the effect on the graph. Ask the
following questions to guide their exploration:
What changes do you notice in the graph if you increase the absorption rate? What if you
decrease the absorption rate? How important is the absorption rate to the effectiveness of the
medicine? Why?
Try increasing the blood volume. What affect does that have on the overall medicine
concentration in the bloodstream? Why is this the case? Why do larger people have to take more
medicine for it to have the same effect?
What happens when you increase the doses per day? What about the dosage interval? Describe the
changes this makes to the curves on the graph.
How does increasing and decreasing the "dt" parameter affect the graph? How does this relate the
patient's intake of medicine?
Extensions
Explore the use of models for predicting outcomes before they happen
Think about the qualities this model still lacks when compared with the real world
Extension 1
Encourage students to discuss the use of this model in designing medications. Ask the following
questions:
How could a pharmaceutical company use this model to design medications? Explain.
Why would a company want to use a model such as this one before moving on to testing on animals
and humans?
How could the parameters in this model be changed to represent different types of medications?
Extension 2
Have students consider the ways in which this model is not an accurate representation of the real
world. Ask the following questions:
What factors can you think of in the real world that this model leaves out? Explain.
What parameters could be added to this model to make it more realistic?
What other aspects of medication could be explored using a model similar to this one?
What other parameters would need to be added to this model to make it an accurate guess at the
correct dosing for a specific person?
Would you ever trust a model to determine the information for your medication dosages? Why or
why not?
This is the Vensim version of the Excel Dosing Model. Students should discuss the similarities and
differences between the two different modeling tools.
This Vensim model represents the population of nutria, a type of aquatic rodent, over time.
Students should discuss the difference between an exponential growth model and an exponential
decay model.