Diagnostic accuracy of a fully automated multiplex celiac disease antibody panel for serum and plasma
Background: An automated multiplex platform using capillary blood can promote greater throughput and more comprehensive studies in celiac disease (CD). Diagnostic accuracy should be improved using likelihood ratios for the post-test probability of ruling-in disease. Methods: The Ig_plex™ Celiac Disease Panel on the sqidlite™ automated platform measured IgA and IgG antibodies to tTG and DGP in n = 224 CD serum or plasma samples. Diagnostic accuracy metrics were applied to the combined multiplex test results for several CD populations and compared to conventional single antibody ELISA tests. Results: With multiple positive antibody results, the post-test probability for ruling-in untreated and treated CD increased to over 90%. The number of samples positive for more than one antibody also increased in untreated CD to ≥90%. Measurement of all four CD antibodies generate cut-off dependent accuracy profiles that can monitor response to treatment with the gluten-free diet (GFD). Higher positive tTG and DGP antibodies are seen more frequently in confirmed CD without (81%–94%) than with GFD treatment (44%–64%). In CD lacking biopsy confirmation, overall agreement of plasma to serum was ≥98% for all antibodies, and 100% for venous to capillary plasma. Conclusions: The Ig_plex Celiac Disease Panel increases the likelihood of confirming CD based on the post-test probability of disease results for multi-reactive markers. Specific positivity profiles and cut-off intervals can be used to monitor GFD treatment and likely disease progression. Using serum, venous and capillary plasma yield comparable and accurate results.
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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Diagnostic accuracy of a fully automated multiplex celiac disease antibody panel for serum and plasma ; volume:57 ; number:8 ; year:2019 ; pages:1207-1217 ; extent:11
Clinical chemistry and laboratory medicine ; 57, Heft 8 (2019), 1207-1217 (gesamt 11)
- Urheber
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Terryberry, Jeff
Tuomi, Jani
Perampalam, Subo
Peloquin, Russ
Brouwer, Eric
Schuppan, Detlef
Guandalini, Stefano
- DOI
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10.1515/cclm-2019-0088
- URN
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urn:nbn:de:101:1-2022053114311180725861
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:33 MESZ
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Beteiligte
- Terryberry, Jeff
- Tuomi, Jani
- Perampalam, Subo
- Peloquin, Russ
- Brouwer, Eric
- Schuppan, Detlef
- Guandalini, Stefano