AutoICD API

69727-6

Laboratory

Tissue transglutaminase IgA + Gliadin peptides IgA and IgG [Interpretation] in Serum Narrative

Definition

This term refers to the interpretation of results for Tissue Transglutaminase (tTG) IgA and Gliadin peptide (DGP) IgA & IgG antibody levels in serum. Elevated levels of tTG IgA and DGP IgA & IgG antibodies are associated with autoimmune diseases, including Celiac Disease and Dermatitis Herpetiformis.

LOINC 6-Axis Classification

Component

Tissue transglutaminase Ab.IgA+gliadin peptides Ab.IgA & IgG

Property

Imp

Time Aspect

Pt

System

Ser

Scale Type

Nar

Method Type

N/A

Details

Class

SERO

Order/Observation

Observation

Short Name

tTG IgA+DGP IgA+IgG Ser-Imp

Display Name

Tissue transglutaminase IgA + Gliadin peptides IgA and IgG Nar (S) [Interp]

Related Names

Agf98CeliacCeliac diseaseDermatitis HerpetiformisDGPDHF98Fibrin stabilizing factorGastroGastroenterologyGIGliadineImmune globulin AImmune globulin GImmunoglobulin AImmunoglobulin GImpressionImpression/interpretation of studyImpressionsInterpInterpretationNarrativePoint in timeProtein-glutamine gamma glutamyltransferaseRandomReportSerologySerumSRTG2tTGtTG antibodiestTG IgA+DGP IgA+IgGtTg/DGP

Frequently Asked Questions

What is LOINC code 69727-6?

LOINC code 69727-6 identifies "Tissue transglutaminase IgA + Gliadin peptides IgA and IgG [Interpretation] in Serum Narrative". This term refers to the interpretation of results for Tissue Transglutaminase (tTG) IgA and Gliadin peptide (DGP) IgA & IgG antibody levels in serum. Elevated levels of tTG IgA and DGP IgA & IgG antibodies are associated with autoimmune diseases, including Celiac Disease and Dermatitis Herpetiformis.

What does 69727-6 measure?

This code measures Tissue transglutaminase Ab.IgA+gliadin peptides Ab.IgA & IgG in Ser. It belongs to the SERO class in the LOINC classification.

What is LOINC?

LOINC (Logical Observation Identifiers Names and Codes) is a universal standard for identifying laboratory and clinical observations. It is maintained by the Regenstrief Institute and used worldwide for health data exchange.