Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies

Valeriya Lyssenko; Torben Jørgensen; Robert W Gerwien; Torben Hansen; Michael W Rowe; Michael P McKenna; Janice Kolberg; Oluf Pedersen; Knut Borch-Johnsen; Leif Groop

doi:10.1177/1479164111424762

Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies

Valeriya Lyssenko, Torben Jørgensen, Robert W Gerwien, Torben Hansen, Michael W Rowe, Michael P McKenna, Janice Kolberg, Oluf Pedersen, Knut Borch-Johnsen, Leif Groop

16 Citationer (Scopus)

Abstract

Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS was developed on the Inter99 cohort, and validated on the Botnia cohort. Performance was benchmarked against other risk-assessment tools comparing calibration, time to event analysis, and net reclassification. Results: The area under the receiver-operating characteristic curve (AUC) was 0.84 for the Inter99 cohort and 0.78 for the Botnia cohort. In the Botnia cohort, DRS provided better discrimination than fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance, oral glucose tolerance test or risk scores derived from Framingham or San Antonio Study cohorts. Overall reclassification with DRS was significantly better than using FPG and glucose tolerance status (p < 0.0001). In time to event analysis, rates of conversion to diabetes in low, moderate, and high DRS groups were significantly different (p < 0.001).Conclusion: This study validates DRS performance in an independent population, and provides a more accurate assessment of T2DM risk than other methods.

Originalsprog	Engelsk
Tidsskrift	Diabetes and Vascular Disease Research
Vol/bind	9
Udgave nummer	1
ISSN	1479-1641
DOI	https://doi.org/10.1177/1479164111424762
Status	Udgivet - jan. 2012

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10.1177/1479164111424762

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Lyssenko, V., Jørgensen, T., Gerwien, R. W., Hansen, T., Rowe, M. W., McKenna, M. P., Kolberg, J., Pedersen, O., Borch-Johnsen, K., & Groop, L. (2012). Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies. Diabetes and Vascular Disease Research, 9(1). https://doi.org/10.1177/1479164111424762

Lyssenko, V, Jørgensen, T, Gerwien, RW, Hansen, T, Rowe, MW, McKenna, MP, Kolberg, J, Pedersen, O, Borch-Johnsen, K & Groop, L 2012, 'Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies', Diabetes and Vascular Disease Research, bind 9, nr. 1. https://doi.org/10.1177/1479164111424762

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title = "Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies",

abstract = "Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS was developed on the Inter99 cohort, and validated on the Botnia cohort. Performance was benchmarked against other risk-assessment tools comparing calibration, time to event analysis, and net reclassification. Results: The area under the receiver-operating characteristic curve (AUC) was 0.84 for the Inter99 cohort and 0.78 for the Botnia cohort. In the Botnia cohort, DRS provided better discrimination than fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance, oral glucose tolerance test or risk scores derived from Framingham or San Antonio Study cohorts. Overall reclassification with DRS was significantly better than using FPG and glucose tolerance status (p < 0.0001). In time to event analysis, rates of conversion to diabetes in low, moderate, and high DRS groups were significantly different (p < 0.001).Conclusion: This study validates DRS performance in an independent population, and provides a more accurate assessment of T2DM risk than other methods.",

author = "Valeriya Lyssenko and Torben J{\o}rgensen and Gerwien, {Robert W} and Torben Hansen and Rowe, {Michael W} and McKenna, {Michael P} and Janice Kolberg and Oluf Pedersen and Knut Borch-Johnsen and Leif Groop",

year = "2012",

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doi = "10.1177/1479164111424762",

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T1 - Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus

T2 - Combined results of the Inter99 and Botnia studies

AU - Lyssenko, Valeriya

AU - Jørgensen, Torben

AU - Gerwien, Robert W

AU - Hansen, Torben

AU - Rowe, Michael W

AU - McKenna, Michael P

AU - Kolberg, Janice

AU - Pedersen, Oluf

AU - Borch-Johnsen, Knut

AU - Groop, Leif

PY - 2012/1

Y1 - 2012/1

N2 - Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS was developed on the Inter99 cohort, and validated on the Botnia cohort. Performance was benchmarked against other risk-assessment tools comparing calibration, time to event analysis, and net reclassification. Results: The area under the receiver-operating characteristic curve (AUC) was 0.84 for the Inter99 cohort and 0.78 for the Botnia cohort. In the Botnia cohort, DRS provided better discrimination than fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance, oral glucose tolerance test or risk scores derived from Framingham or San Antonio Study cohorts. Overall reclassification with DRS was significantly better than using FPG and glucose tolerance status (p < 0.0001). In time to event analysis, rates of conversion to diabetes in low, moderate, and high DRS groups were significantly different (p < 0.001).Conclusion: This study validates DRS performance in an independent population, and provides a more accurate assessment of T2DM risk than other methods.

AB - Purpose: To assess performance of a biomarker-based score that predicts the five-year risk of diabetes (Diabetes Risk Score, DRS) in an independent cohort that included 15-year follow-up. Method: DRS was developed on the Inter99 cohort, and validated on the Botnia cohort. Performance was benchmarked against other risk-assessment tools comparing calibration, time to event analysis, and net reclassification. Results: The area under the receiver-operating characteristic curve (AUC) was 0.84 for the Inter99 cohort and 0.78 for the Botnia cohort. In the Botnia cohort, DRS provided better discrimination than fasting plasma glucose (FPG), homeostasis model assessment of insulin resistance, oral glucose tolerance test or risk scores derived from Framingham or San Antonio Study cohorts. Overall reclassification with DRS was significantly better than using FPG and glucose tolerance status (p < 0.0001). In time to event analysis, rates of conversion to diabetes in low, moderate, and high DRS groups were significantly different (p < 0.001).Conclusion: This study validates DRS performance in an independent population, and provides a more accurate assessment of T2DM risk than other methods.

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DO - 10.1177/1479164111424762

M3 - Journal article

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SN - 1479-1641

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JO - Diabetes and Vascular Disease Research

JF - Diabetes and Vascular Disease Research

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Validation of a multi-marker model for the prediction of incident type 2 diabetes mellitus: Combined results of the Inter99 and Botnia studies

Abstract

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