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Joint modeling of l...
Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes : results from the TEDDY study
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- Köhler, Meike (author)
- Helmholtz Zentrum München
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- Beyerlein, Andreas (author)
- Helmholtz Zentrum München
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- Vehik, Kendra (author)
- University of South Florida
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- Greven, Sonja (author)
- Ludwig-Maximilian University of Munich
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- Umlauf, Nikolaus (author)
- University of Innsbruck
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- Lernmark, Åke (author)
- Lund University,Lunds universitet,Celiaki och diabetes,Forskargrupper vid Lunds universitet,Celiac Disease and Diabetes Unit,Lund University Research Groups,Skåne University Hospital
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- Hagopian, William A. (author)
- Pacific Northwest Research Institute
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- Rewers, Marian (author)
- University of Colorado
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- She, Jin-Xiong (author)
- Medical College of Georgia
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- Toppari, Jorma (author)
- Turku University Hospital
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- Akolkar, Beena (author)
- National Institute of Diabetes and Digestive and Kidney Diseases
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- Krischer, Jeffrey P. (author)
- University of South Florida
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- Bonifacio, Ezio (author)
- Dresden University of Technology
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- Ziegler, Anette-G (author)
- Helmholtz Zentrum München
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(creator_code:org_t)
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- 2017-08-30
- 2017
- English.
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In: Acta Diabetologica. - : Springer Science and Business Media LLC. - 1432-5233 .- 0940-5429. ; 54:11, s. 1009-1017
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Abstract
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- AIMS: The onset of clinical type 1 diabetes (T1D) is preceded by the occurrence of disease-specific autoantibodies. The level of autoantibody titers is known to be associated with progression time from the first emergence of autoantibodies to the onset of clinical symptoms, but detailed analyses of this complex relationship are lacking. We aimed to fill this gap by applying advanced statistical models.METHODS: We investigated data of 613 children from the prospective TEDDY study who were persistent positive for IAA, GADA and/or IA2A autoantibodies. We used a novel approach of Bayesian joint modeling of longitudinal and survival data to assess the potentially time- and covariate-dependent association between the longitudinal autoantibody titers and progression time to T1D.RESULTS: For all autoantibodies we observed a positive association between the titers and the T1D progression risk. This association was estimated as time-constant for IA2A, but decreased over time for IAA and GADA. For example the hazard ratio [95% credibility interval] for IAA (per transformed unit) was 3.38 [2.66, 4.38] at 6 months after seroconversion, and 2.02 [1.55, 2.68] at 36 months after seroconversion.CONCLUSIONS: These findings indicate that T1D progression risk stratification based on autoantibody titers should focus on time points early after seroconversion. Joint modeling techniques allow for new insights into these associations.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
Keyword
- Journal Article
Publication and Content Type
- art (subject category)
- ref (subject category)
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- By the author/editor
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Köhler, Meike
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Beyerlein, Andre ...
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Vehik, Kendra
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Greven, Sonja
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Umlauf, Nikolaus
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Lernmark, Åke
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show more...
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Hagopian, Willia ...
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Rewers, Marian
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She, Jin-Xiong
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Toppari, Jorma
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Akolkar, Beena
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Krischer, Jeffre ...
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Bonifacio, Ezio
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Ziegler, Anette- ...
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show less...
- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Endocrinology an ...
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Acta Diabetologi ...
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Lund University