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Predicting progress...
Predicting progression to type 1 diabetes from ages 3 to 6 in islet autoantibody positive TEDDY children
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- Jacobsen, Laura M. (författare)
- University of Florida
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- Larsson, Helena E. (författare)
- Lund University,Lunds universitet,Pediatrisk endokrinologi,Forskargrupper vid Lunds universitet,Paediatric Endocrinology,Lund University Research Groups,Skåne University Hospital
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- Tamura, Roy N. (författare)
- University of South Florida
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- Vehik, Kendra (författare)
- University of South Florida
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- Clasen, Joanna (författare)
- University of South Florida
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- Sosenko, Jay (författare)
- University of Miami
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- Hagopian, William A. (författare)
- Pacific Northwest Research Institute
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- She, Jin Xiong (författare)
- Medical College of Georgia
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- Steck, Andrea K. (författare)
- University of Colorado
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- Rewers, Marian (författare)
- University of Colorado
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- Simell, Olli (författare)
- Turku University Hospital
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- Toppari, Jorma (författare)
- University of Turku,Turku University Hospital
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- Veijola, Riitta (författare)
- University of Oulu,Oulu University Hospital
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- Ziegler, Anette G. (författare)
- Helmholtz Zentrum München
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- Krischer, Jeffrey P. (författare)
- University of South Florida
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- Akolkar, Beena (författare)
- National Institute of Diabetes and Digestive and Kidney Diseases
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- Haller, Michael J. (författare)
- University of Florida
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(creator_code:org_t)
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- 2019-01-29
- 2019
- Engelska.
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Ingår i: Pediatric Diabetes. - : Hindawi Limited. - 1399-543X .- 1399-5448. ; 20:3, s. 263-270
- Relaterad länk:
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http://dx.doi.org/10...
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https://europepmc.or...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Objective: The capacity to precisely predict progression to type 1 diabetes (T1D) in young children over a short time span is an unmet need. We sought to develop a risk algorithm to predict progression in children with high-risk human leukocyte antigen (HLA) genes followed in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Methods: Logistic regression and 4-fold cross-validation examined 38 candidate predictors of risk from clinical, immunologic, metabolic, and genetic data. TEDDY subjects with at least one persistent, confirmed autoantibody at age 3 were analyzed with progression to T1D by age 6 serving as the primary endpoint. The logistic regression prediction model was compared to two non-statistical predictors, multiple autoantibody status, and presence of insulinoma-associated-2 autoantibodies (IA-2A). Results: A total of 363 subjects had at least one autoantibody at age 3. Twenty-one percent of subjects developed T1D by age 6. Logistic regression modeling identified 5 significant predictors - IA-2A status, hemoglobin A1c, body mass index Z-score, single-nucleotide polymorphism rs12708716_G, and a combination marker of autoantibody number plus fasting insulin level. The logistic model yielded a receiver operating characteristic area under the curve (AUC) of 0.80, higher than the two other predictors; however, the differences in AUC, sensitivity, and specificity were small across models. Conclusions: This study highlights the application of precision medicine techniques to predict progression to diabetes over a 3-year window in TEDDY subjects. This multifaceted model provides preliminary improvement in prediction over simpler prediction tools. Additional tools are needed to maximize the predictive value of these approaches.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Pediatrik (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Pediatrics (hsv//eng)
Nyckelord
- autoantibodies
- metabolic
- pediatric
- prediction
- type 1 diabetes
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Jacobsen, Laura ...
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Larsson, Helena ...
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Tamura, Roy N.
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Vehik, Kendra
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Clasen, Joanna
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Sosenko, Jay
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visa fler...
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Hagopian, Willia ...
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She, Jin Xiong
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Steck, Andrea K.
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Rewers, Marian
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Simell, Olli
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Toppari, Jorma
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Veijola, Riitta
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Ziegler, Anette ...
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Krischer, Jeffre ...
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Akolkar, Beena
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Haller, Michael ...
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Endokrinologi oc ...
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Klinisk medicin
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och Pediatrik
- Artiklar i publikationen
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Pediatric Diabet ...
- Av lärosätet
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Lunds universitet