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

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

doi:10.2337/dc11-0641

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

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

Medicine

Research output: Contribution to journal › Article › peer-review

27 Scopus citations

Abstract

OBJECTIVE - We assessed the accuracy of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS), developed fromthe 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 DPTRSwere 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.

Original language	English (US)
Pages (from-to)	1785-1787
Number of pages	3
Journal	Diabetes care
Volume	34
Issue number	8
DOIs	https://doi.org/10.2337/dc11-0641
State	Published - Aug 2011

ASJC Scopus subject areas

Internal Medicine
Endocrinology, Diabetes and Metabolism
Advanced and Specialized Nursing

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Validation of the Diabetes Prevention Trial-Type 1 Risk Score in the TrialNet Natural History Study. / Sosenko, Jay M.; Skyler, Jay S.; Mahon, Jeffrey; Krischer, Jeffrey P.; Beam, Craig A.; Boulware, David C.; Greenbaum, Carla J.; Rafkin, Lisa E.; Cowie, Catherine; Cuthbertson, David; Palmer, Jerry P.

In: Diabetes care, Vol. 34, No. 8, 08.2011, p. 1785-1787.

Research output: Contribution to journal › Article › peer-review

Sosenko, Jay M. ; Skyler, Jay S. ; Mahon, Jeffrey ; Krischer, Jeffrey P. ; Beam, Craig A. ; Boulware, David C. ; Greenbaum, Carla J. ; Rafkin, Lisa E. ; Cowie, Catherine ; Cuthbertson, David ; Palmer, Jerry P. / Validation of the Diabetes Prevention Trial-Type 1 Risk Score in the TrialNet Natural History Study. In: Diabetes care. 2011 ; Vol. 34, No. 8. pp. 1785-1787.

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title = "Validation of the Diabetes Prevention Trial-Type 1 Risk Score in the TrialNet Natural History Study",

abstract = "OBJECTIVE - We assessed the accuracy of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS), developed fromthe 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 DPTRSwere 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.",

author = "Sosenko, {Jay M.} and Skyler, {Jay S.} and Jeffrey Mahon and Krischer, {Jeffrey P.} and Beam, {Craig A.} and Boulware, {David C.} and Greenbaum, {Carla J.} and Rafkin, {Lisa E.} and Catherine Cowie and David Cuthbertson and Palmer, {Jerry P.}",

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AU - Beam, Craig A.

AU - Boulware, David C.

AU - Greenbaum, Carla J.

AU - Rafkin, Lisa E.

AU - Cowie, Catherine

AU - Cuthbertson, David

AU - Palmer, Jerry P.

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N2 - OBJECTIVE - We assessed the accuracy of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS), developed fromthe 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 DPTRSwere 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.

AB - OBJECTIVE - We assessed the accuracy of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS), developed fromthe 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 DPTRSwere 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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Validation of the Diabetes Prevention Trial-Type 1 Risk Score in the TrialNet Natural History Study

Abstract

ASJC Scopus subject areas

UN SDGs

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