Patient Profiles

Profiling subjects is a powerful way to view all of the data for the study subjects, enabling you to view their entire history and determine potential causes for unexpected events or findings.

Note: The report initially generates and displays one profile at a time. You can select any one or multiple subjects in the study to profile using the Patients option.

Running this report for the Nicardipine example using default settings generates the Report shown below.

In addition to the profile shown above, the report also contains the following notes window.

The data window contains any notes generated by the report.

Note: The Patient Profiler now responds to and honors selections made in the Review Subject Filter.

Note: Prior versions of JMP Clinical had precompute functionality in this report. This functionality is now managed automatically.

The Patient Profiler window contains the following elements:

Demographics

This table displays a simple table of the basic demographics for the currently profiled patient(s).

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In the example shown here, one patient was profiled.

Graphs

The Graphs tab contains the following elements:

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One Subject Profile.

This is the principal display. Time1 When calculating time, the start day for a record is used as the anchor point from which other elements of that row a drawn. The start day is computed from xxSTDY, xxSTDC, xxDY, xxRFSTDC, and/or xxDTC, depending on the domain. When either the reference or treatment start day is missing and the end day is not, the start day is set equal to the end day minus one. If both are missing, the start day is set equal to 0. is displayed along the x-axis and data values from selected domains are grouped along the y-axis. When duration information is available, points are joined with a horizontal line.

Note: For interventions domain, xxTRT is required, xxDECOD is permissible. For Events domains, xxTERM and xxDECOD are both required. When generating the graphs, xxTRT takes precedence for Interventiondomains and xxDECOD takes precedence for Events domains.

The color and shape of points is domain dependent and is described in the Legend pane.

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One Medical History plot showing significant events and the year they were reported.

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One Legend.

This pane describes the colors and symbols used in the primary display.

The top panel (shown below) denotes symbols and colors used for adverse events. Blue, green, or red bars indicate that the events are mild, moderate, or severe, respectively, as specified by the values in the SDTM variable aesev

. When you specify aetoxgr instead of aesev in your AE or ADAE domain, the color scale has four levels instead of 3.

Note: For both cases (aesev and aetoxgr) shown above, the colors can be changed at the Study level using the Set Value Order and Color in Studies option.

The asterisk () and filled-circle ( ), in both cases, indicate whether the condition is serious or not serious, respectively, as specified by the values in the variable aeser.

Note: Serious conditions are generally, but not necessarily, severe.

The middle panel (shown below) denotes line formats and symbols used for dates and times of different events and interventions.

Events or interventions with a defined range are indicated by a solid line spanning the ranges. Start and End dates are denoted by a filled-circle ().

The bottom panel (shown below) differentiates levels of findings for numeric and character findings.

Numeric findings that exceed the specified maximum reference value (also defined as the upper limit of normal or ULN) are indicated by an upward arrow ( ). Findings that fall below the specified minimum reference value (also defined as the lower limit of normal or LLN) are indicated by a downward arrow ( ). Findings between the ULN and LLN are indicated by a filled-circle (). The normal range is considered to be the median value over all subjects +/- 1.5 x the interquartile range (IQR). Findings falling within that range are are indicated by a filled-circle ( ).

Normal character finding are indicated with a filled circle ( ). Character findings considered abnormal are indicated by an asterisk ( ).

Tables

The Tablessection is shown below:

The Tables section lists and summarizes subject-level data for the profiled subject in tabular form.

Options

Display

Patients

This widget enables you to select which patients to profile. Hold the Ctrl key to select multiple patients or the Shift key to select contiguous patients among those listed. Shown below is a partial Profile display for three selected patients.

Variables

This widget enables you select the domains and variables to include in your profiles. Click to expand the domains and display the variables that may be selected. Click within the check boxes to select desired domains and variables. Click Apply to apply any changes to the variables to be profiled.

Filters

This widget enables you to display a subset of dispositions, adverse events, and concomitant medications in the graphs. Click the disposition, event, or medication you want to display. Hold the CTRL key while clicking to select muliple items.

Order

This widget allows you to specify the order in which the different plots are displayed. Select a category and use the and buttons to move the category up or down in the order sequence.

General and Drill Down Buttons

Action buttons, provide you with an easy way to drill down into your data. The following action buttons are generated by this report:

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Click to rerun the report using default settings.

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Click to view the associated data tables. Refer to Show Tables/View Data for more information.

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Click to generate a standardized pdf- or rtf-formatted report containing the plots and charts of selected sections.

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Click to generate a JMP Live report. Refer to Create Live Report for more information.

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Click to take notes, and store them in a central location. Refer to Add Notes for more information.

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Click to read user-generated notes. Refer to View Notes for more information.

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Click to open and view the Review Subject Filter.

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Click to specify Derived Population Flags that enable you to divided the subject population into two distinct groups based on whether they meet very specific criteria.

Note: For information about how treatment emergent adverse events (TEAEs) are defined in JMP Clinical, please refer to How does JMP Clinical determine whether an Event Is a Treatment Emergent Adverse Event?.

Default Settings

Refer to Set Study Preferences for default Subject Level settings.

Methodology

No testing is performed. Analysis is restricted to tabulating data and plotting occurrence and duration of findings, events, dispositions, concomitant medications, and exposures.