Validation of the Diabetes Prevention Trial–Type 1 Risk Score in the TrialNet Natural History Study

نویسندگان

  • Jay M. Sosenko
  • Jay S. Skyler
  • Jeffrey Mahon
  • Jeffrey P. Krischer
  • Craig A. Beam
  • David C. Boulware
  • Carla J. Greenbaum
  • Lisa E. Rafkin
  • Catherine Cowie
  • David Cuthbertson
  • Jerry P. Palmer
چکیده

OBJECTIVE We assessed the accuracy of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS), developed from the Diabetes Prevention Trial-Type 1 (DPT-1), in the TrialNet Natural History Study (TNNHS). RESEARCH DESIGN AND METHODS Prediction accuracy of the DPTRS was assessed with receiver-operating characteristic curve areas. The type 1 diabetes cumulative incidence within the DPTRS intervals was compared between the TNNHS and DPT-1 cohorts. RESULTS Receiver-operating characteristic curve areas for the DPTRS were substantial in the TNNHS (P < 0.001 at both 2 and 3 years). The type 1 diabetes cumulative incidence did not differ significantly between the TNNHS and DPT-1 cohorts within DPTRS intervals. In the TNNHS, 2-year and 3-year risks were low for DPTRS intervals <6.50 (<0.10 and <0.20, respectively). Thresholds ≥7.50 were indicative of high risk in both cohorts (2-year risks: 0.49 in the TNNHS and 0.51 in DPT-1). CONCLUSIONS The DPTRS is an accurate and robust predictor of type 1 diabetes in autoantibody-positive populations.

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منابع مشابه

Erratum. Validation of the Diabetes Prevention Trial–Type 1 Risk Score in the TrialNet Natural History Study. Diabetes Care 2011;34:1785–1787

In the article cited above, the last paragraph of the RESULTS section was corrected to read: The application of the DPTRS is presented in the following hypothetical example. An 8-year-old with a BMI of 18.0 kg/m (log = 2.89) has normal glucose tolerance with fasting, 30-, 60-, 90-, and120-min values of 80mg/dL, 150mg/dL, 160mg/dL, 140mg/dL, and 120 mg/dL, respectively. Fasting, 30-, 60-, 90-, a...

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Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for Improving the Accuracy of the Risk Classification of Type 1 Diabetes

OBJECTIVE We studied the utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of type 1 diabetes (T1D) risk classification in TrialNet Natural History Study (TNNHS) participants. RESEARCH DESIGN AND METHODS The cumulative incidence of T1D was compared between normoglycemic individuals with DPTRS values >7.00 and dysglycemic individuals in the TNNHS (n = ...

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Development of Autoantibodies in the TrialNet Natural History Study

OBJECTIVE Understanding the relationship between age and islet autoantibody (Ab) seroconversion can establish the optimal screening interval(s) to assess risk for type 1 diabetes, identify subjects who can participate in prevention trials, and determine associated costs. This study assessed the rates of seroconversion to glutamic acid decarboxylase positive (GAD65(+)), insulin positive (mIAA(+)...

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The Application of the Diabetes Prevention Trial–Type 1 Risk Score for Identifying a Preclinical State of Type 1 Diabetes

OBJECTIVE We assessed the utility of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for identifying individuals who are highly likely to progress to type 1 diabetes (T1D) within 2 years. RESEARCH DESIGN AND METHODS The DPTRS was previously developed from Diabetes Prevention Trial-Type 1 (DPT-1) data and was subsequently validated in the TrialNet Natural History Study (TNNHS). DPTRS c...

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A risk score for type 1 diabetes derived from autoantibody-positive participants in the diabetes prevention trial-type 1.

OBJECTIVE The accurate prediction of type 1 diabetes is essential for appropriately identifying prevention trial participants. Thus, we have developed a risk score for the prediction of type 1 diabetes. RESEARCH DESIGN AND METHODS Diabetes Prevention Trial-Type 1 (DPT-1) participants, islet cell autoantibody (ICA)-positive relatives of type 1 diabetic patients (n = 670), were randomly divided...

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عنوان ژورنال:

دوره 34  شماره 

صفحات  -

تاریخ انتشار 2011