RequestNotesStatusFixed/Updated/Removed from SDTMIG v4.0?

This is sponsor inquiry.

How do you model pre-specified ANA tests?

Question about how to model ANA data that are collected, and therefore should be molded differently from the example that's shown in the SDTMIG 3.4.

2023-03-24: Added to SDTMIG v4.0.


User Inquiry:

"I wanted to revisit this discussion on ANA pattern reporting. We also deal with testing labs where they pre-coordinate the pattern result into the test name and perform a call of whether the pattern is observed or not. For example, the 'test' the lab performs evaluates each staining pattern as listed below:

Anti-Nuclear Antibody Centromere Pattern, Char

Anti-Nuclear Antibody Centrosome Pattern, Char

Anti-Nuclear Antibody Cytoplasmic Pattern, Char

Then, the result for each of these tests is 'POSITIVE' or 'NEGATIVE', affirming presence or identity of the specific pattern in question. " 

In cases like these and the study is submitting under SDTMIG v3.4, should we simply add each of these patterns as sponsor-extended ISTEST/TESTCD terms? Or, would it be acceptable that these remain in LB (MI is also another possible consideration...)?

Our Recommendations and Rationales:

For modeling Open-ended Findings Question vs. Prespecified Findings Question, analogy can be drawn from the MB domain modeling principles. For modeling pre-specified findings vs open-ended findings in MB, the approach has been:

The MB example is to illustrate that the result of an open-ended findings question becomes the test or a test qualifier for the pre-specified findings question. This modeling principle applies consistently in IS as well.

Therefore for the pre-specified ANA Stain Pattern tests,

Open-ended findings modeling: What antinuclear antibody staining pattern(s) do you observe in the specimen? (This is the IS Example 10 in the SDTMIG v3.4)

Con: This approach would only allow people to report the positive findings - ANA patterns that have been observed and reported as results. Patterns that are not observed will not be reported.

Supporting LOINC codes:

  1. https://loinc.org/14722-3/ Presence
  2. https://loinc.org/29953-7/ Titer

https://loinc.org/14611-8/ Pattern

Row

STUDYID

DOMAIN

USUBJID

ISSEQ

ISREFID

ISGRPID

ISTESTCD

ISTEST

ISBDAGNT

ISTSTDTL

ISTSTOPO

ISORRES

ISORRESU

ISSTRESC

ISSTRESN

ISSTRESU

ISSPEC

ISMETHOD

VISITNUM

VISIT

ISDTC

1XYZISXYZ12341192837461ATABAutoantibodyNUCLEAR AUTOANTIGENS
SCREENPOSITIVE
POSITIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
2XYZISXYZ12342192837461aATABAutoantibodyNUCLEAR AUTOANTIGENS
QUANTIFY1:340
340340titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
3XYZISXYZ12343192837461aATABAutoantibodyNUCLEAR AUTOANTIGENS

STAINING PATTERN


CYTOPLASMIC,
SPECKLED PATTERN

CYTOPLASMIC, SPECKLED PATTERN

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
4XYZISXYZ12344192837461bATABAutoantibodyNUCLEAR AUTOANTIGENS
QUANTIFY1:170
170170titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
5XYZISXYZ12345192837461bATABAutoantibodyNUCLEAR AUTOANTIGENSSTAINING PATTERN
NUCLEAR, NUCLEOLAR PATTERN
NUCLEAR, NUCLEOLAR PATTERN

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
6XYZISXYZ10071192837461ATABAutoantibodyNUCLEAR AUTOANTIGENS
SCREENNEGATIVE
NEGATIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20

Pre-specified findings modeling: Do you observe nuclear centromere ANA pattern? Do you observe cytoplasmic speckled ANA pattern? etc.

Pro:

  1. This approach allows the users to report both the "specific, pre-specified" positive and negative patterns.
  2. This is also almost a 1:1 mapping to LOINC codes.
  3. Consistent modeling approach across specimen-based domains.

Supporting LOINC Codes:

https://loinc.org/96921-2/ Titer

Row

STUDYID

DOMAIN

USUBJID

ISSEQ

ISREFID

ISGRPID

ISTESTCD

ISTEST

ISBDAGNT

ISTSTDTL

ISTSTOPO

ISORRES

ISORRESU

ISSTRESC

ISSTRESN

ISSTRESU

ISSPEC

ISMETHOD

VISITNUM

VISIT

ISDTC

1XYZISXYZ12341192837461ATABAutoantibodyNUCLEAR AUTOANTIGENSCYTOPLASMIC, SPECKLED PATTERNSCREENPOSITIVE
POSITIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
2XYZISXYZ12342192837461ATABAutoantibodyNUCLEAR AUTOANTIGENSCYTOPLASMIC, SPECKLED PATTERNQUANTIFY1:170
170170titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
3XYZISXYZ12341192837462ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, NUCLEOLAR PATTERN

SCREENPOSITIVE
POSITIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
4XYZISXYZ12342192837462ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, NUCLEOLAR PATTERN

QUANTIFY1:340
340340titerSERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20
5XYZISXYZ1234119283746
ATABAutoantibodyNUCLEAR AUTOANTIGENS

NUCLEAR, CENTROMERE PATTERN

SCREENNEGATIVE
NEGATIVE

SERUMFLUORESCENT IMMUNOASSAY1SCREENING2018-06-20


Decisions and Additional Notes/Action Items:

Resolution Status: Date