Ex. 2 L4: Noncompartmental Analysis Flashcards

1
Q

Noncompartmental analysis

A

Do not look at compartments; just try to obtain information from the concentration vs time profile

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2
Q

Noncompartmental variables

A

AUC, AUMC, MRT, CL, Vdss

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3
Q

Clearance and compartmental analysis

A

Clearance for compartmental and noncompartmental are the same

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4
Q

Mean Residence time (MRT)

A

Drug X (MW = 300) 1 mg admin as IV bolus

of molecules in 1 mg:

0.001g/(300g/1 mole) * (6.023*10^23)molecules/1 mole =

2x10^18 molecules

MRT of drug X would mean the average time one drug molecule spends in the body from dosing to elimination

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5
Q

t * C is called

A

the first-moment of the concentration

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6
Q

AUMC

A

Area under the moment curve

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7
Q

MRT =

A

AUMC/AUC

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8
Q

ti =

A

the time ith molecule spends in the body

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9
Q

n =

A

Total number of molecules

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10
Q

When looking at a curve, always use (early/late) phase to estimate K

A

Late

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11
Q

After IV admin, AUC and AUMC can be

A

estimated regardless of peak shapes
MRT and CL can be estimated

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12
Q

Can we simplify two compartment to one compartment?

A

Major phase concept

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13
Q

What would be average drug concentration at steady state

A

Superstition principle

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14
Q

Major phase concept, 2 compartment model

A

A/alpha + B/Beta

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15
Q

Superstition principle

A

After multiple doses, AUCss,0-t = AUCsingle dose, 0-infinity

The last AUC is the sum of all of the other AUCs, = each other

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16
Q

Cssave

A

Concentration that gives the same drug exposure as AUCss,0-tau when maintained for tau

17
Q

MRT approaches for its estimation

A

After IV admin,
Estimation from elimination rate constant, K
(combination of compartmental and noncompartmental analyses

MRT = 1/Kel

18
Q

Vdss

A

Steady state volume of distribution of a drug
The volume of distribution observed after the drug has distributed into the tissues

Vdss= MRT * CL

19
Q

Noncompartmental summary

A

Pharmacokinetic analysis performed w/o assuming compartmentalized distribution of drugs in body
Provides descriptive knowledge about drugs

20
Q

Non compartmental vs compartmental efficacy

A

Each approach is useful and limited

21
Q

Noncompartmental characteristics

A

Minimal number of assumptions (minimizes bias)
Will work for many types of data (descriptive)
Can compare across data sets/drugs
Limited in information about secondary processes
No assumptions about distribution into body or segmented processes in the body (holistic)
Poor relating to specific organ function
Sometimes, favored approach due to lack of assumptions

22
Q

Compartmental characteristics

A

Fits data for a specific case
Better accounts for biological processes
Provides better insight into “fate of drug”
Driven by data and by assumptions
Capability to predict concentrations for certain time point