Quick Tour of Phoenix

Using a number of the 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 

Most Phoenix objects require the same basic steps for their use. However, 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.

Note:Any object added to a project can be viewed in its own window by selecting the object in the Object Browser and double-clicking it or pressing ENTER. All instructions for setting up and executing an object are the same whether the object is viewed in its own window or in Phoenix’s viewing.

Start Phoenix and create a new project

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

  2. 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.

  3. Name the new project by typing Quick Tour.

quicktourexample00001.png 

The left panel’s default view is the Object Browser, which contains the project, and the other folders and objects that are contained in the project. The right viewing panel’s default view is blank, unless one of the project folders or the workflow is selected.

Import a dataset

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

  1. Select File > Import or click icon_importfile.png (Import File icon).

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

  3. Select the file Bguide1.dat and click Open.
    The File Import Wizard is used to assign options for how the data are imported and presented.

  4. quicktour_import.png 

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

  5. Click Finish.

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

quicktourexample00002.png 

Create a plot

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

  2. quicktourexample00003.png 

    An XY Plot object can also be added to a Workflow by selecting the Workflow object in the Object Browser and then selecting Insert > Plotting > XY Plot. Or by right-clicking the Workflow object, selecting New > Plotting > XY Plot, and then using the pointer to drag the Bguide1 worksheet from the Data folder to the XY Data Mappings panel.

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

  3. Use the option buttons in the XY Data Mappings panel to map the data types to the contexts as fol­lows:
    Map Subject to the Group context.
    Map Time to the X context.
    Map Conc to the Y context.

  4. quicktourexample00004.png 

  5. Click icon_execute.png (Execute icon) to execute the workflow.

quicktourexample00005.png 

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 types as follows:
    Map Subject to the Stratification Row context.
    Leave Time mapped to None.
    Map Conc to the Data context.

  3. In the Options tab below the Setup tab, select Table 1 - Column Summary by Row Stratification as the Table Type to use.

  4. Check the Page Break on Row Stratification box.

  5. quicktourexample00006.png 

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

  7. Click Select All to select all output statistics.

  8. 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.

quicktourexample00007.png 

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 click 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.

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

Output data

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.

quicktour_ncafinpar.png 

Part of the Final Parameters worksheet

quicktourexample00008.png 

Part of the Summary Table worksheet

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.

quicktourexample00009.png 

Plots for subject one, capsule and tablet formulation

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 click 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 in the Object Browser.

  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.

Worksheet results

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.

quicktourexample00010.png 

Final Parameters worksheet

quicktourexample00011.png 

Secondary Parameters worksheet

quicktour_pksummarytable.png 

Summary Table worksheet

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

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.

quicktourexample00012.png 

Observed Y and Predicted Y vs X

pkmodelpredyvsobsy.png 

Predicted Y vs Observed Y

pkmodelresidualyvsx.png 

Residual Y vs X

Execute a bioequivalence model

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

  2. Select File > Import.

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

  4. Select the file Seq2Per4.csv and click Open.
    In the File Import Wizard dialog, click Finish. The dataset is added to the project Data folder.

  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 the Sequence context
    – Subject to the Subject context
    – Period to the Period context
    – Formulation to the Formulation context

  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:
    – Crossover is selected as the Type of study
    Average is selected as the Type of Bioequivalence 
    R is selected as the Reference Formulation 

  8. quicktour_biomapping.png 

  9. Select the Fixed Effects tab, which is located below the Setup tab.

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

  11. Execute the object.

Output data

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.

phxbioavebio.png 

Average Bioequivalence worksheet

BioEq1Diagnostics.png 

Diagnostics worksheet

BioEq1FinalVarParams.png 

Final Variance Parameters worksheet

BioEq1SequentialTests.png 

Sequential Tests worksheet

This concludes the Quick Tour of Phoenix.


Last modified date:7/9/20
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