Quick Tour of Phoenix

Using several sample files provided with the Phoenix software, this tutorial introduces the steps to complete the following common tasks:

Start Phoenix and create a new project

Import a dataset

Create a plot

Create a table

Execute noncompartmental analysis

Perform pharmacokinetic modeling

Execute a bioequivalence model 

Note:    There may be multiple paths to accomplishing a step (e.g., main menu, right-click menu, drag-and-drop, etc.). For simplicity, only one is listed here.

Start Phoenix and create a new project

Double-click the Phoenix icon (Phoenix_icon) on your desktop to start Phoenix.

Select File > New Project to create a new project.

A new project is created in the Object Browser and is in edit mode for you to name.

Name the new project by typing Quick Tour.

The left panel’s default view is the Object Browser, which contains the project and other folders and objects that are contained in the project.

Import a dataset

The dataset Bguide1.dat will be used to test key Phoenix functions.

1.  Click icon_importfile (Import File icon) in the toolbar.

2.  Navigate to <Phoenix_install_dir>\application\Examples\WinNonlin\Supporting files.

3.  Select the file Bguide1.dat and press Open.

The File Import Wizard is used to assign options for how the data are imported and loaded into a worksheet.

No changes need to be made to the default options for this dataset.

4.  Press Finish.

The dataset is added to the project Data folder and the worksheet is displayed in the right viewing panel.

Create a plot

1.  Right-click Bguide1 in the Data folder and select Send To > Plotting > XY Plot from the menu.

The default view of an object is the Setup tab, which contains all the steps necessary to set up an object.

2.  Use the option buttons in the XY Data Mappings panel to map the data to the contexts as follows:

Subject to Group.

Time to X.

Conc to Y.

3.  Click icon_execute (Execute icon) to execute the workflow.

Now use the Bguide1 dataset to test the Table object and its summary statistics function.

Create a table

1.  Right-click Bguide1 in the Data folder and select Send To > Reporting > Table.

2.  In the Main Mappings panel, map the data as follows:

Subject to Stratification Row.

Conc to Data.

Leave Time mapped to None.

3.  From the Table Type menu in the Options tab (below the Setup tab), select Table 1 - Column Summary by Row Stratification.

4.  Check the Page Break on Row Stratification box.

5.  Select the Statistics tab, which is also located below the Setup tab.

6.  Press Select All to select all output statistics.

7.  Execute the object.

The results are presented as three HTML tables in the Results tab. Compare the table for the DW subject in the Results tab to the table pictured below.

Execute noncompartmental analysis

1.  Select File > Load Project.

2.  In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin.

3.  Select Multiple_Profiles.phxproj and press Open.

This project contains:

A dataset worksheet (profiles)

A worksheet of dosing information (Dosing published from NCA)

An XY Plot object

An NCA model object

A Descriptive Statistics object

A Data Wizard object

An X-Categorical XY Plot object

4.  Expand the workflow node.

5.  Select the NCA model object in the Object Browser.

6.  Select items in the Setup tab list to explore the data mappings and option settings.

7.  Execute the object.

Notice in the Object Browser that Workflow, Descriptive Statistics, Data Wizard, and X_Categorical XY Plot objects have changed to red (out-of-date). If any object in a Workflow is red, the Workflow object will also be colored red. The three objects are red because their input depends on the NCA object’s output. Since the NCA object was executed, the dependent objects need to be re-executed using the new NCA results. For this tutorial, only the NCA object is executed.

Output worksheets

The NCA object creates several results worksheets including Dosing Used, Exclusions, Final Parameters, Final Parameters Pivoted, Partial Areas, Plot Titles, Slopes Settings, and Summary Table. Selections from the Final Parameters and Summary Table worksheets are shown below.

Part of the Final Parameters worksheet:

quicktour_ncafinpar

Part of the Summary Table worksheet:

Plots

A total of 12 pages of plots are generated; one for each of two formulations, for each of the six subjects. The first two charts for subject one are shown below.

Plots for subject one, capsule and tablet formulation:

 

Text output

The Core output contains the model settings and the same data as the worksheets but presented in plain ASCII text. If there were errors in the model they would be listed here. Below is part of a Core output text file.


Model: Plasma Data, Extravascular Administration
      Number of nonmissing observations:   12 
      Dose time:      0.00 
      Dose amount:      100.00 
      Calculation method: Linear Trapezoidal with Linear 
          Interpolation 
      Weighting for lambda_z calculations: Uniform weighting 
      Lambda_z method: Find best fit for lambda_z, Log regression 
      Compute Concentrations at: 75 
      
      Summary Table 
      ------------- 
       Time  Conc.  Pred. Residual    AUC         AUMC      Weight 
       min   ng/ml  ng/ml  ng/ml   min*ng/ml  min*min*ng/ml 
      ------------------------------------------------------------ 
        0.0000 0.0000                   0.0000       0.0000 
        5.000  340.3                     850.8        4254. 
        10.00  1914.                     6487.    5.636e+04 
        15.00  2069.                 1.644e+04    1.818e+05   1.000 
        20.00  1471.                 2.529e+04    3.329e+05   1.000 
        30.00  788.8                 3.659e+04    5.983e+05   1.000 
        45.00* 496.4  460.9  35.54   4.623e+04    9.434e+05   1.000 
        60.00* 372.8  357.2  15.63   5.275e+04    1.279e+06   1.000 
        90.00* 204.3  214.6 -10.33   6.141e+04    1.890e+06   1.000 
        120.0* 124.1  128.9 -4.852   6.633e+04    2.389e+06   1.000 
        180.0* 39.25  46.52 -7.266   7.123e+04    3.048e+06   1.000 
        240.0* 19.32  16.79  2.531   7.299e+04    3.389e+06   1.000 
      

The Settings file lists all the settings used to specify the noncompartmental analysis. Below is part of a Settings text file.

        Sort: Subject, Form 
        Time: Time [min] 
        Concentration: Conc [ng/mL] 
        Carry: 
      Dosing: (Internal) 
      Slopes: (Internal) 
      Partial Areas: (Internal) 
      Therapeutic Response: <None> 
      Units: (Internal) 
      Parameter Names: <None> 
      Plasma Model 
      Title=Processing Multiple Profiles with Model 200 
      Linear Trapezoidal Linear Interpolation 
      Sparse=False 
      Weighting=Uniform Weighting; 0 
      Dose Type=Extravascular 
      Dose Unit=ng 
      Dose Normalization=None 
      Compute Concentrations at: 75 


Perform pharmacokinetic modeling

1.  Select File > Load Project.

2.  In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin.

3.  Select PK_Model.phxproj and press Open.

This project contains:

A dataset worksheet (study1)

An XY Plot object

A PK model object

4.  Expand the workflow node.

5.  Select the PK object.

6.  Select items in the Setup tab list to explore the model’s data mappings and option settings.

The imported PK Model object uses PK Model 3, which is a one-compartment model with 1st order absorption.

7.  Execute the object.

Output worksheets

The PK Model object’s output worksheets partially include Condition Numbers, Diagnostics, Dosing Used, Final Parameters, Initial Estimates, Secondary Parameters, and Summary Table. The Final Parameters, Secondary Parameters, and Summary Table worksheets are shown below.

Final Parameters worksheet:

Secondary Parameters worksheet:

Summary Table worksheet:

quicktour_pksummarytable

Plots

The plot results include Observed Y and Predicted Y vs X, Partial Derivatives Plot, Predicted Y vs Observed Y, Predicted Y vs X, Residual Y vs Predicted Y, and Residual Y vs X. Some plot results are shown below.

Observed Y and Predicted Y vs X:

pkobsypredyvsx

Predicted Y vs Observed Y:

pkmodelPredYvsObsY

Residual Y vs X:

pkmodelResidualYvsX

Text output

The Core output text results include all model settings and iterations, including the output from the worksheets. Any model errors would be listed here. Below is part of the Core output text file.

      Listing of input commands 
       MODEL 3 
       NVAR 3 
       NPOI 1000 
       XNUM 2 
       YNUM 3 
       NCON 3 
       CONS 1,2,0 
       METH 2'Gauss-Newton (Levenberg and Hartley) 
       ITER 50 
       INIT 0.25,1.81,0.23 
       MISS '.' 
       DATA 'WINNLIN.DAT' 
       BEGIN 
      

The Settings file lists all the settings used to specify the noncompartmental analysis. Below is part of the Settings text file.

      Main: PK Model.Data.study1 
        Sort: Subject 
        Time: Time [hr] 
        Concentration: Conc [ng/mL] 
        Carry: 
      Dosing: (Internal) 
      Initial Estimates: (Internal) 
      Units: (Internal) 
      ***** Other Parameters ***** 
      PK 3-[PK] 
      Gauss-Newton (Levenberg and Hartley) 
      Convergence criteria of 0.0001 used during minimization process 
      50 maximum iterations allowed during minimization process 

Execute a bioequivalence model

1.  Select the Quick Tour project in the Object Browser.

2.  Click icon_importfile in the toolbar.

3.  In the dialog, navigate to <Phoenix_install_dir>\application\Examples\WinNonlin\Supporting files.

4.  Select the file Seq2Per4.csv and press Open.

In the File Import Wizard dialog, press Finish.

5.  Right-click the Seq2Per4 worksheet in the Data folder and select Send To > Computation Tools > Bioequivalence.

The Bioequivalence object is added to the workflow in the Object Browser and the following data types are automatically mapped to contexts.

Sequence to Sequence.

Subject to Subject.

Period to Period.

Formulation to Formulation.

6.  In the Main Mappings panel, map AUC to the Dependent context.

7.  In the Model tab (located below the Setup tab), ensure the following settings:

Crossover is selected as the Type of study.

Average is selected as the Type of Bioequivalence.

R is selected as the Reference Formulation.

quicktour_biomapping

8.  Select the Fixed Effects tab (below the Setup tab).

Ln(x) is automatically selected in the Dependent Variables Transformation menu. Do not change this setting.

9.  Execute the object.

Worksheets

The bioequivalence model worksheet output partially includes Average Bioequivalence, Diagnostics, Final Fixed Parameters, Final and Initial Variance Parameters, Least Squares Means, and Sequential Tests. The Diagnostics, Final Variance Parameters, and Sequential Tests worksheets are shown below.

Average Bioequivalence worksheet:

phxbioavebio

Diagnostics worksheet:

BioEq1Diagnostics

Final Variance Parameters worksheet:

BioEq1FinalVarParams

Sequential Tests worksheet:

BioEq1SequentialTests

This concludes the Quick Tour of Phoenix. You may save the Quick Tour projects or close them.


Legal Notice | Contact Certara
© Certara USA, Inc. All rights reserved.