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Comment: changed multivariat to multiple covariates

...

Ejection Fraction

  • change in ejection fraction, would expect a decline in EF of 2-3% per year, concerning if rapid progression, i.e., 10% decline or more - Use absolute change, updated to 5% decline for 1 year

NTproBNP

  • % change over a period of time – a decrease is correlated with improvement, measured annually

...

Measuring LVEF regularly can show the rate of decline in left ventricle function for a patient with DMD. Therefore, it was selected as an endpoint for this example to measure whether a course of therapy may slow the progression of heart failure for the patient. The second endpoint chosen, NT-proBNP, is a biomarker that may be used to predict or diagnose heart failure.

This section illustrates example analysis datasets for the following endpoints:

  • Percent change in ejection fraction over time (1 year)
  • Decline in ejection fraction over time (1 year) grouped by a decline greater than 5%-5.0%
  • Percent change in NTproBNP NT-proBNP over time (1 year)

Source Data

The SDTM examples used as the source data are from Section 2.1, Basic Systolic Function. The ADSL draws from the DM dataset, which shows 4 subjects. The CV dataset shows two visits for the first subject, DMD-EF-01-101. It contains 16 rows, 1-8 for visit 1 and 9-16 for visit 6. Of these rows, the records in the CV dataset for which CVTESTCD = "LVEF_C" and CVTESTCD = "RVEF_C" representing the Ventricular Ejection Fraction, Calculated (%) for left and right were selected for the analysis. The records in the LB dataset test where LBTESTCD = "BNPPRONT" was were used to add the value of BNPPRONT to compute the percent change over time , and then was added as a potential covariate in each row for the last analysis. . Both SDTM domains are used in one analysis dataset to demonstrate the flexibility of ADaM and to show that the various SDTM domains can be combined into one dataset both as rows and also as covariates.

Example Analysis Datasets

The following tables below show the analysis dataset metadata and metadata and parameters used for this example.

-

Definexmltable
Multipletrue
LevelDataset
PurposeAnalysis

Dataset Name

Dataset Description

Class of Dataset

Structure

Purpose

Keys

Location

Documentation

Location

ADSL

Subject-Level Analysis Dataset

SUBJECT LEVEL ANALYSIS DATASET

One record per subject.

AnalysisUSUBJIDADaMIGadsl.xptadslADSL.xptSAS
ADEFNTPCV MRI EF and NT-proBNP AnalysisADCVNTPCardiac Ejection Fraction and NTproBNP Analysis Dataset

BASIC DATA STRUCTURE

One record per subject per analysis visit per parameter.AnalysisUSUBJID, AVISITN, PARAMN

Analysis Dataset

adcvntp.xptadefntp.xpt

ADEFNTP.SAS/SAP

ADEFMRICV MRI ADCVCMRCardiovascular CMR Ejection Fraction Analysis Dataset

BASIC DATA STRUCTURE

One record per subject per analysis visit per parameter.AnalysisUSUBJID, AVISITN, PARAMN

Analysis Dataset

adcvcmr.xptadefmri.xpt

ADEFMRI.SAS/SAP

ADSL

The ADSL contains subject characteristics The ADaM model requires a one-record-per-subject analysis dataset, ADSL, which contains subject characteristics and covariates that are important for analyses. Also, stratification Stratification variables can be created in the ADSL to subset the data. More than one SDTM dataset is may be used as input to the ADSL. This is a simplified example ADSL . As an example, a flag indicating concomitant medication dataset; the ADaMIG should be referenced for additional variables.

For this example:

  • Analysis age (AAGE) was included to provide age with more precision.
  • A flag indicating the use of ACE inhibitors (ACEINHFL)

...

  • is shown with example derivation from the CM dataset.
  • Body surface area at screening (BSASC)

...

  • was derived from the VS dataset using height and weight at the screening visit.

...

  • There are many possible calculations for BSA; for this example, the Du Bois method was used.[11] Note that the screening visit and visit 1 occurred at the same time in this example.

...

Definexmltable
DatasetADSL
LevelVariable
PurposeAnalysis
NameVariable

The ADCVNTP dataset includes tests pertinent to these analyses. The records from CV where CVTESTCD = "LVEF_C" and "RVEF_C" and the records from LB where LBTESTCD = "BNPPRONT" were selected. Many lab draws may occur throughout the year, but only those linked to a specific visit were included. By subsetting the LB dataset by LBLNKID not missing, laboratory data that aligns with CV data can be filtered out and sorted using USUBJID and VISIT. If LBLNKID is not available, a windowing strategy could be used to select the laboratory draw closest to that visit for merging with CV, computed in AVISIT.

The ADCVMR dataset is an efficacy analysis dataset with only a few records for more complex modeling of changes in ejection fraction, plus the ProB-type test results. It is an ADaM Basic Data Structure (BDS) dataset, with additional variables added from ADCVNTP.

ADSL Analysis Dataset

This is a simplified example ADSL dataset; it is expected that the Foundational standards are followed to include all the core variables. Analysis age (AAGE) was computed to provide age with more precision.  The Body Surface Area (BSA) at screening is named BSASC as per the ADAMIG v1.2.  There are many possible calculations for BSA. For this example, the Du Bois method was used (footnote: https://www.calculator.net/body-surface-area-calculator.html). 

Definexmltable
DatasetADSL
LevelVariable
PurposeAnalysis
NameVariable
Variable Name
Variable Name
Variable LabelTypeCodelist/Controlled Terms
/Format
Source
/Derivation/Comment
STUDYIDStudy Identifier
Char
text
Predecessor: DM.STUDYID
USUBJIDUnique Subject Identifier
Char
text
Predecessor: DM.USUBJID
BRTHDTDate of Birth
Num
integer
date9
yymmdd10.

Derived: Date portion of DM.BRTHDTC converted to numeric and displayed in a format, such as

date9.from ISO 8601 format to numeric date.9 

yymmdd10. 

AAGEAnalysis Age
Num
float
Derived: Age as screening, computed by DM.RFICDTC - BRTHDTC as continuous variable. Note that some countries do not allow capturing date of birth, so this could be computed by capturing age in years and months on a CRF.
AGEAge
Num
integer
Predecessor: DM.AGE
AGEUAge Units
Char
textYEARSPredecessor: DM.AGEU

SEX

Sex
Char
text(SEX)Predecessor: DM.SEX

RACE

Race
Num
text(RACE)Predecessor: DM.RACE
TRTSDTDate of First Exposure to Treatment
Num
integer
date9
yymmdd10.Derived: Date portion of DM.RFSTDTC converted to numeric and displayed in a format such as
date9
yymmdd10.
RFICDT

Date of Informed Consent

Num
integer
date9
yymmdd10.Derived: Date portion of DM.RFICDTC converted to numeric and displayed in a format such as
date9
yymmdd10.
DTHDT

Date of Death

Num
integer
date9
yymmdd10.

Derived: Date portion of DM.

RFSTDTC converted

DTHDT converted to numeric and displayed in a format such as

date9

yymmdd10.

DTHFL

Subject Death
Flag

Char
textYPredecessor: DM.DTHFL
TRT01P

Planned Treatment for Period 01

Char
textDrug A
,
; Drug B

Predecessor

;

: DM.ARM.

May be changed to lower case or more descriptive term for use in tables and listings.

TRT01A

Actual Treatment for Period 01

Char
textDrug A
,
; Drug B

Predecessor

;

: DM.ACTARM.

Note: Actual

treatment 

treatment matches planned treatment unless there is a reason subject does not take planned drug.

ITTFL

Intent-To-Treat Population Flag

Char

text

Y; N

Derived: Derive the intent-to-treat population as per the protocol and SAP.

ACEINHFL

ACE Inhibitor Medications Flag

Char

text

Y; N

Derived: Select a list of ACE inhibitor medications from concomitant medications (CM) domain as per

Statistical Analysis Plan

SAP or

Protocol

protocol. Set to "Y" if these medications were taken during the study, and "N" if they are absent. Can be used to subset or to exclude the population who took ACE inhibitors.

HEIGHTSC

Height (cm) at Screening

Num

float


Predecessor: Set to VS.VSSTRESN where VS.VSTESTCD = "HEIGHT" and VISITNUM= 1 (or screening visit

for your study

).

WEIGHTSC

Weight (kg) at Screening

Num

float


Predecessor: Set to VS.VSSTRESN where VS.VSTESTCD = "WEIGHT" and VISITNUM = 1 (or screening visit

for your study

).

BSASC

Body Surface Area at Screening

Num

float


Derived: Select where VISITNUM = 1 (or screening visit

for your study

). Compute from HEIGHT and WEIGHT, using the Du Bois method. BSA = 0.007184 × W0.425 × H0.725

Note that there

There are multiple methods

and the study protocol should describe which one to use

for calculating BSA (e.g., Du Bois, Mosteller, Haycock, Gehan & George, Boyd, Fujimoto, Takahira,

and

Schlich); the study protocol should describe which to use.

12
Dataset wrap
Showtrue
NameADSL
1
Dataset2
tableidadsl
RowSTUDYIDUSUBJIDBRTHDTAAGEAGEAGEUSEXRACETRTSDTRFICDT
DTHDTDTHFLTRT01PITTFLACEINHFLHEIGHTSCWEIGHTSCBSASC
1DMD-EFLGEDMD-EF-01-1012010-02-0712.312YEARSMBLACK OR AFRICAN AMERICAN2022-06-162022-06-16

Drug AYY119200.82
2
DTHDTDTHFLTRT01PITTFLACENHFLHEIGHTSCWEIGHTSCBSASC
DMD-EFLGEDMD-EF-01-101
07FEB201012.3

2008-05-01

14.114YEARSM
BLACK OR AFRICAN AMERICAN16JUN202216JUN2022
ASIAN

2022-06-13

2022-06-13

Drug AYY
119
115
20
300.
82
95
2
3DMD-EFLGEDMD-EF-01-101
01MAY200814.114
2003-07-1019.019YEARSM
ASIAN13JUN202213JUN2022Drug AYY115300,953
NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER

2022-07-15

2022-07-15

Drug BYN140451.30
4DMD-EFLGEDMD-EF-01-101
10JUL200319.019NATIVE HAWAIIAN OR OTHER PACIFIC ISLANDER15JUL2202215JUL2022
1999-01-1523.723YEARSM
WHITE

2022-09-06

2022-09-06

2023-11-23

Y
Drug BY
N
Y
140
132
45
421
,30
.21
4DMD-EFLGEDMD-EF-01-10115JAN199923.723YEARSMWHITE06SEP202206SEP202223NOV2023YDrug BYY132421,21

ADCVNTP Analysis Dataset

In this example, columns for derived variables BASE, CHG, PCHG and CHGCAT1 have been added to facilitate analyses of the efficacy endpoints. Specifically, example demographic data for ADSL were created for an 8 year old male. Also, a custom variable for BSA at baseline (BSABL), and an example of a stratification variable for subjects with was added from ADSL.

...

DatasetADCVNTP
LevelValue
PurposeAnalysis
OIDAVAL

...

Categorize the value of CHGCAT1 as follows: If CHG >= 5.00 THEN CHGCAT1 = "Decline >=5%".

Else if CHG not missing and CHG < 5.00 THEN CHGCAT1 = "Decline <5%"

...

Categorize the value of CHCAT1 as follows:"Increase >100 pg/mL", "Increase <=100 pg/mL" "No increase"

ADEFNTP

The ADEFNTP includes tests pertinent to analyses. The records from CV (CVTESTCD = "LVEF_C" and "RVEF_C") and the records from LB (LBTESTCD = "BNPPRONT") were selected. Many lab draws may occur throughout the year, but only those linked to a specific visit were included. By subsetting the LB dataset by LBLNKID not missing, laboratory data that aligns with CV data can be filtered out and sorted using USUBJID and VISIT. If LBLNKID is not available or the LB dataset does not contain VISIT, a windowing strategy could be used to select the laboratory draw closest to that visit using date of lab draw (LB.LBDTC.).

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-8

Definexmltable
DatasetADEFNTP
LevelVariable
PurposeAnalysis
NameVariable
Variable NameVariable LabelTypeCodelist/Controlled TermsSource/Derivation/Comment
STUDYIDStudy Identifiertext
Predecessor: CV.STUDYID
USUBJIDUnique Subject Identifiertext
Predecessor: CV.USUBJID
BRTHDTDate of Birthintegeryymmdd10.Predecessor: ADSL.BRTHDT
AAGEAnalysis Agefloat
Predecessor: ADSL.AAGE
AGEUAge Unittext

Predecessor: ADSL.AGEU

SEX

Sextext(SEX)

Predecessor: ADSL.SEX

RACE

Racetext(RACE)Predecessor: ADSL.RACE
TRTSDT

Date of First Exposure to Treatment

integeryymmdd10.Predecessor: ADSL.TRTSDT
TRT01P

Planned Treatment for Period 01

textDrug A; Drug BPredecessor: ADSL.TRT01P
TRT01A

Actual Treatment for Period 01

textDrug A; Drug BPredecessor: ADSL.TRT01A

ITTFL

Intent-To-Treat Population Flag

text

Y; N

Predecessor: ADSL.ITTFL

HEIGHT

Height (cm)

float


Set to VS.VSSTRESN where VS.VSTEST = "HEIGHT" by visit.

WEIGHT

Weight (kg)

float


Set to VS.VSSTRESN where VS.VSTEST = "WEIGHT" by visit.

BSABody Surface Area (m2)float


Derived:

Compute from HEIGHT and WEIGHT at each visit, using the Du Bois method. BSA = 0.007184 × W0.425 × H0.725

There are multiple methods for calculating BSA; the study protocol should describe which to use.

ACEINHFL

ACE Inhibitor Medications Flag

text

Y; N

Predecessor: ADSL.ACEINHFL
PARAMParametertext

Left Ventricular Ejection Fraction, Cal (%);

Right Ventricular Ejection Fraction, Cal (%);

N-Terminal ProB-type Natriuretic Peptide (ng/L)

Predecessor:

CV.CVTEST

LB.LBTEST

PARAMCDParameter Codetext

LVEF_C;

RVEF_C;

BNPPRONT

Predecessor:

CV.CVTESTCD

LB.LBTESTCD

PARAMNParameter (N)integer

1; 2; 3

Assigned:

Number PARAMCD as follows:

LVEF_C = "1"

RVEF_C = "2"

BNPPRONT = "3"

AVALAnalysis Valuefloat

See Parameter Value Metadata

AVISITAnalysis Visittext

Visit 1 (Baseline); Visit 6 (1 Year)

If CV.VISIT = "VISIT 1" then AVISIT = "Visit 1 (Baseline)".

If CV.VISIT = "VISIT 6" then AVISIT = "Visit 6 (1 Year)".

AVISITNAnalysis Visit (N)integer1; 6

Predecessor:

CV.VISITNUM

LB.VISITNUM

VISITVisitinteger

VISIT 1; VISIT 6

Predecessor:

CV.VISIT

LB.VISIT

ADTAnalysis Dateintegeryymmdd10.Date portion of CV.CVDTC or LB.LBDTC converted to numeric and displayed in a format such as yymmdd10. 
ABLFLBaseline Record FlagtextY

Derived: If CV.VISIT = "VISIT 1" then ABLFL = "Y".

BASEBaseline Valuefloat

Derived: Set BASE to AVAL from the record for that subject and parameter where ABLFL = "Y".

Populate BASE for additional visits by merging the value of BASE in the baseline record by USUBJID and PARAMCD.

CHGChange from Baselinefloat
Derived: Compute CHG = AVAL - BASE for that record. Only compute for post-baseline records.
PCHGPercent Change from Baselinefloat
Derived: Compute PCHG = (CHG / BASE) * 100. Only compute for post-baseline records.
CHGCAT1Change from Baseline Category 1text

Decline >=-5.0%; Decline <-5.0%; No Decline

See Parameter Value Metadata
SRCDOMSource Datatext

CV; LB

Assigned: Set to the SDTM domain name that relates to the analysis value.

SRCVARSource Variabletext

CVSTRESN; LBSTRESN

Assigned: Set to the SDTM variable that relates to the analysis value.

SRCSEQSource Sequence Numberinteger


Predecessor: Set to the SDTM domain sequence number that relates to the analysis value, CV.CVSEQ or LB.LBSEQ.

In this example, variables BASE, CHG, PCHG, and CHGCAT1 were added to facilitate analyses of the efficacy endpoints. the variables SRCDOM, SRCVAR, and SRCSEQ provide traceability to the combined source datasets. The tables below represent parameter value level lists for applicable variables.

Definexmltable
DatasetADEFNTP
Exampletrue
LevelCodelist
PurposeAnalysis
OIDPARAM.ADEFNTP
NameParameter
Permitted Value (code)

Left Ventricular Ejection Fraction, Cal (%)

Right Ventricular Ejection Fraction, Cal (%)
N-Terminal ProB-type Natriuretic Peptide (ng/L)
Definexmltable
DatasetADEFNTP
Exampletrue
LevelCodelist
PurposeAnalysis
OIDPARAMCD.ADEFNTP
NameParameter Code
Permitted Value (code)Display Value (Decode)

LVEF_C

Left Ventricular Ejection Fraction, Cal (%)

RVEF_CRight Ventricular Ejection Fraction, Cal (%)
BNPPRONTN-Terminal ProB-type Natriuretic Peptide (ng/L)
Definexmltable
DatasetADEFNTP
LevelValue
PurposeAnalysis
NameAVAL
VariableWhereTypeControlled Terms or FormatOriginDerivation/Comment
AVALCV.CVSTRESN in ("LVEF_C", "RVEF_C")float
PredecessorCV.CVSTRESN
AVALLB.LBTESTCD = "BNPPRONT"float
PredecessorLB.LBSTRESN

In this table the ADaM parameters are used rather than the source SDTM data.

Definexmltable
DatasetADEFNTP
LevelValue
PurposeAnalysis
NameCHGCAT1
VariableWhereTypeControlled Terms or FormatOriginDerivation/Comment
CHGCAT1PARAMCD in ("LVEF_C", "RVEF_C")text

Decline >=-5.0%;

Decline <-5.0%;

No Decline

Derived

Categorize the value of CHG as follows: If CHG >= 5.00 THEN CHGCAT1 = "Decline >=-5.0%".

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-9

Else if CHG GT 0 and CHG < 5.00 THEN CHGCAT1 = "Decline <-5.0%"

Else if CHG <0 then CHGCAT1 = "No Decline"

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-10

CHGCAT1PARAMCD = "BNPPRONT"text

Increase >100 ng/L;

Increase <=100 ng/L;

No Increase

Derived

Categorize the value of CHCAT1 as follows: "Increase >100 ng/L"; "Increase <=100 ng/L"; "No Increase"

Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-11

Dataset wrap
Showtrue
NameADEFNTP
Dataset2
tableidadefntp
RowSTUDYIDUSUBJIDAAGEAGEUSEXRACETRT01PTRT01AITTFLHEIGHTWEIGHTBSAACEINHFLPARAMPARAMCDPARAMNAVALAVISITAVISITNVISITADTABLFLBASECHGPCHGCHGCAT1SRCDOMSRCVARSRCSEQ
1

...

DatasetADCVNTP
LevelVariable
PurposeAnalysis
NameVariable

...

CV.STUDYID

...

CV.USUBJID

...

ADSL.BRTHDT

...

ADSL.AAGE

...

ADSL.AGEU

...

SEX

...

DM.SEX

...

RACE

...

DM.RACE

...

Date of First Exposure to Treatment

...

Planned Treatment for Period 01

...

Actual Treatment for Period 01

...

ITTFL

...

Intent-To-Treat Population Flag

...

Char

...

Y; N

...

ADSL.ITTFL

...

ADSL.BSASC

...

HEIGHT

...

Height (cm)

...

Num

...

Set to VS.VSSTRESN where VS.VSTEST = "HEIGHT"  by visit.

...

WEIGHT

...

Weight (kg)

...

Num

...

Set to VS.VSSTRESN where VS.VSTEST = "WEIGHT"  by visit.

...

Compute from HEIGHT and WEIGHT at each visit, using the Du Bois method. BSA = 0.007184 × W0.425 × H0.725

Note that there are multiple methods and the study protocol should describe which one to use (e.g., Mosteller, Haycock, Gehan & George, Boyd, Fujimoto, Takahira, and Schlich).

...

ACEINHFL

...

ACE Inhibitor Medications Flag

...

Char

...

Y; N

...

ADSL.ACEINHFL

...

Left Ventricular Ejection Fraction, Calculated (%);

Right Ventricular Ejection Fraction, Calculated (%);

N-Terminal ProB-type Natriuretic Peptide (pg/mL)

...

For tests from CV, set to the values of CV.CVTEST plus CV.CVTESTU with spaces and parentheses as shown. 

For tests from LB, set to the value of LB.LBTEST plus LB.LBTESTU with spaces and parentheses as shown. 

...

LVEF_C;

RVEF_C;

BNPPRONT

...

CV.CVTESTCD

LB.LBTESTCD

...

Note: for this example dataset, select the records where the test values shown at left are included.

...

Number PARAMCD as follows:

LVEF_C = "1"

RVEF_C = "2"

BNPPRONT = "3"

...

See Parameter Value List 

...

Visit 1 (Baseline)

Visit 6 (1 Year)

...

If CV.VISIT = "VISIT 1" then AVISIT = "Visit 1 (Baseline)".

Else if CV.VISIT = "VISIT 6" then AVISIT = "Visit 6 (1 Year)".

...

CV.VISITNUM

LB.VISITNUM

...

VISIT 1

VISIT 6

...

CV.VISIT

LB.VISIT

...

If CV.VISIT = "VISIT 1" then ABLFL = "Y".

...

Set BASE to AVAL from the record for that subject and parameter where ABLFL = "Y".

Populate BASE for additional visits by merging the value of BASE in the baseline record by USUBJID and PARAMCD.

...

Decline >=5% ; Decline <5%

Increase GT 100 pg/mL

...

CV; LB

...

CV.CVSEQ

LB.LBSEQ

...

Efficacy Analysis Example 1

This example dataset shows the findings and additional analysis variables associated with:

  • Left Ventricular Ejection Fraction, Calculated (%)
  • Right Ventricular Ejection Fraction, Calculated (%)
  • N-Terminal ProB-type Natriuretic Peptide (pg/mL)
Dataset wrap
Showtrue
Nameadcvntp
3
Rowcaps
Rows 1-2:Show the baseline ejection fraction measurements at VISIT 1.
Row 3:Shows the baseline N-Terminal ProB-type Natriuretic Peptide test results at VISIT 1.
Rows 4-5:Show the baseline ejection fraction measurements at VISIT 6.
Row 6:Shows the baseline N-Terminal ProB-type Natriuretic Peptide test results at VISIT 6.
Dataset2
tableidadcvntp
RowSTUDYIDUSUBJIDAGEAGEUSEXRACETRT01PTRT01AITTFLBSASCHEIGHTWEIGHTBSAACEINHFLPARAMPARAMCDPARAMNAVALAVISITAVISITNVISITADTABLFLBASECHGPCHGCHGCAT1SRCDOMSRCVARSRCSEQ
1DMD-EFLGEDMD-EF-01-10112YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY0.82119200.82YLeft Ventricular Ejection Fraction, Calculated (%)LVEF_C167Visit 1 (Baseline)1VISIT 116MAY2022Y67CVCVTESTCD32DMD-EFLGEDMD-EF-01-10112YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY0.82119200.82YRight Ventricular Ejection Fraction, Calculated (%)RVEF_C274Visit 1 (Baseline))1VISIT 116MAY2022Y74CVCVTESTCD7
DMD-EFLGEDMD-EF-01-10112.3YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY
0.82
119200.82Y
N-Terminal ProB-type Natriuretic Peptide (IU/L)BNPPRONT3
Left Ventricular Ejection Fraction, Cal (%)LVEF_C167
40
Visit 1 (Baseline)1VISIT 1
16MAY2022Y40LBLBTESTCD1
2022-05-16Y67


CVCVTESTCD
Jira
showSummaryfalse
serverIssue Tracker (JIRA)
serverId85506ce4-3cb3-3d91-85ee-f633aaaf4a45
keyTAUGDMDCIS-13
3
2
4
DMD-EFLGEDMD-EF-01-10112.3YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY119200.82
13232
1.08
Y
Left
Right Ventricular Ejection Fraction,
Calculated
Cal (%)
LVEF
RVEF_C
1
2
60
74Visit
6
1 (
1 Year
Baseline)
6
1VISIT
606APR202367-7-10.447761
12022-05-16Y74
Decline >=5.0%



CVCVTESTCD
11
7
5
3DMD-EFLGEDMD-EF-01-10112.3YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY119
Y
200.82
132321.08
Y
Right Ventricular Ejection Fraction, Calculated (%)RVEF_C261Visit 6 (1 Year)6VISIT 606APR202374-13-17.567568Decline >=5.0%CVCVTESTCD15
N-Terminal ProB-type Natriuretic Peptide (ng/L)BNPPRONT340Visit 1 (Baseline)1VISIT 12022-05-16Y40


LBLBTESTCD1
4
6
DMD-EFLGEDMD-EF-01-10112.3YEARSMBLACK OR AFRICAN AMERICANDrug ADrug AY
0.82
132321.08Y
N-Terminal ProB-type Natriuretic Peptide (IU/L)BNPPRONT3
Left Ventricular Ejection Fraction, Cal (%)LVEF_C160
900
Visit 6 (1 Year)6VISIT
106APR2023408602,150Increase GT 100 pg/mLLBLBTESTCD2