Pre-steady-state analysis

 

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If a pre-steady-state condition (based on the population model) is detected, two options for analysis are available:

1.Assume steady state
2.Use pre-steady-state method.

 

To help your decision the dialog displays the percentage of model steady-state. For example, if the regimen is close to 90%, then you may choose to assume steady-state.

 

Analysis of serum levels prior to steady-state uses a Bayesian methodology. In order to accurately assess pre-steady-state data, the serum level at the start of the current regimen must be known.

Enter 0 (zero) if the patient had no drug on-board when the current regimen was started.
If the patient did have drug on-board when the current regimen was started, enter the serum level at the start of the current regimen.

 

It is important to note that pre-steady-state analysis is not as accurate as steady-state.

 

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