Differential Equations and drugs

In summary, the given conversation discusses the amount of a drug in a patient at a particular time, where the drug is injected at a constant rate and removed by the kidneys at a proportional rate. At a specific point in time, the drug concentration remains constant at 2.5 times the injection rate. The equation dx/dt = P - 0.4x is then derived to express the amount of drug in terms of the injection rate and time. This is solved using the integrating factor method, resulting in x(t) = (P/K) + C e-Kt. At the particular time when the drug concentration is constant, P=2.5PK and K=0.4, leading to the simplified equation dx/dt
  • #1
kukumaluboy
61
1
Let x mg be the amount of drug in the patient at time t.

Drug is injected into the patient at a rate of P mg per min

The kidneys of the patient remove the drug at a rate proportional to the amount of drug at time t.

At a particular point in time, the drug concentration in the patient remains constant. This constant value is 2.5 P mg

Show that dx/dt = P - 0.4x

Hence express x in terms of P and t
 
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  • #2
You need to show some attempt at the problem before you'll get any help.
 
  • #3
Alrite

Let x mg be the amount of drug in the patient at time t.

dx/dt = P + Kx, where P>0 and K<0

Solving by Integrating Factor;

dx/dt -Kx =P

P(t) = -K;
Integrate P(t) wrt t = -Kt;
Hence integrating Factor = e^(-Kt);

xe^(-Kt) = P * Integrate(e^(-Kt)) dt;
xe^(-Kt) =(-P/K) * e^(-Kt) + C;



At a particular point in time, the drug concentration in the patient remains constant. This constant value is 2.5 P mg
Means P and K are equal. Henve -P/K at that time will be -1
Then don't know how to do
 
  • #4
kukumaluboy said:
Alrite

Let x mg be the amount of drug in the patient at time t.

dx/dt = P + Kx, where P>0 and K<0

Solving by Integrating Factor;

dx/dt -Kx =P

P(t) = -K;
Integrate P(t) wrt t = -Kt;
Hence integrating Factor = e^(-Kt);

xe^(-Kt) = P * Integrate(e^(-Kt)) dt;
xe^(-Kt) =(-P/K) * e^(-Kt) + C;
One comment: It's not a good idea to use P(t) in your notation for the integrating factor since you already use P to stand for something else in the problem.

If you solve for x(t), you get x(t) = (-P/K) + C eKt.

Second comment: Your work so far is correct, but it's traditional to take K>0 and to put the negative sign into the differential equation explicitly. If you do that, your answer would come out to be x(t) = (P/K) + C e-Kt.
At a particular point in time, the drug concentration in the patient remains constant. This constant value is 2.5 P mg
Means P and K are equal. Henve -P/K at that time will be -1
Then don't know how to do
When it says the concentration remains constant, that does not mean -P/K=-1. Remember, the drug concentration is given by x(t), so to say it remains constant is a statement about x(t) and dx/dt.
 
  • #5
Oh yea!
When it says the concentration remains constant, that does not mean -P/K=-1. Remember, the drug concentration is given by x(t), so to say it remains constant is a statement about x(t) and dx/dt.
Well Said.


Re-did the qn and got x(t) = (P/K) + C e-Kt like you.


At a particular point in time, the drug concentration in the patient remains constant. This constant value is 2.5 P mg


So this actually means :

dx/dt = P-Kx = 0 at that time
P=Kx
x was 2.5P
P=2.5PK
K=0.4
Hence dx/dt = P-0.4x


Thanks the rest are easy.
 

1. What is the relationship between Differential Equations and drugs?

Differential equations are mathematical equations that describe the change in a system over time. In the context of drugs, differential equations are used to model the pharmacokinetics (absorption, distribution, metabolism, and elimination) of drugs in the body. These equations can help predict drug concentrations in different tissues and how they change over time.

2. How are differential equations used in drug development?

Differential equations play a crucial role in drug development by helping researchers understand the dynamics of how drugs interact with the body. They can be used to optimize dosing regimens, predict potential drug interactions, and identify potential toxicity issues.

3. Can differential equations be used to study drug resistance?

Yes, differential equations can be used to study drug resistance. By modeling the interactions between drugs and pathogens (such as bacteria or viruses), researchers can predict how resistance may develop and identify potential strategies to combat it.

4. Are there any limitations to using differential equations in drug research?

While differential equations are a powerful tool in drug research, they do have some limitations. These equations are based on assumptions and simplifications of complex biological systems, so there is always a degree of uncertainty in their predictions. Additionally, they may not be able to account for all potential factors that can influence drug behavior in the body.

5. How can differential equations help in personalized medicine?

Personalized medicine aims to tailor medical treatments to an individual's specific characteristics, such as genetics or lifestyle. Differential equations can be used to create personalized models of drug behavior in different individuals, allowing for more precise dosing and treatment plans based on individual factors.

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