Predictors of undiagnosed prevalent type 2 diabetes: The Danish General Suburban Population Study.

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Standard

Predictors of undiagnosed prevalent type 2 diabetes : The Danish General Suburban Population Study. / Heltberg, Andreas Søndergaard; Andersen, John Sahl; Sandholdt, Håkon; Siersma, Volkert Dirk; Kragstrup, Jakob; Ellervik, Christina.

I: Primary Care Diabetes, Bind 12, Nr. 1, 28964672, 2018, s. 13-22.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Heltberg, AS, Andersen, JS, Sandholdt, H, Siersma, VD, Kragstrup, J & Ellervik, C 2018, 'Predictors of undiagnosed prevalent type 2 diabetes: The Danish General Suburban Population Study.', Primary Care Diabetes, bind 12, nr. 1, 28964672, s. 13-22. https://doi.org/10.1016/j.pcd.2017.08.005

APA

Heltberg, A. S., Andersen, J. S., Sandholdt, H., Siersma, V. D., Kragstrup, J., & Ellervik, C. (2018). Predictors of undiagnosed prevalent type 2 diabetes: The Danish General Suburban Population Study. Primary Care Diabetes, 12(1), 13-22. [28964672]. https://doi.org/10.1016/j.pcd.2017.08.005

Vancouver

Heltberg AS, Andersen JS, Sandholdt H, Siersma VD, Kragstrup J, Ellervik C. Predictors of undiagnosed prevalent type 2 diabetes: The Danish General Suburban Population Study. Primary Care Diabetes. 2018;12(1):13-22. 28964672. https://doi.org/10.1016/j.pcd.2017.08.005

Author

Heltberg, Andreas Søndergaard ; Andersen, John Sahl ; Sandholdt, Håkon ; Siersma, Volkert Dirk ; Kragstrup, Jakob ; Ellervik, Christina. / Predictors of undiagnosed prevalent type 2 diabetes : The Danish General Suburban Population Study. I: Primary Care Diabetes. 2018 ; Bind 12, Nr. 1. s. 13-22.

Bibtex

@article{50991ab0f9f04f62a38cad8f4d450cc6,
title = "Predictors of undiagnosed prevalent type 2 diabetes: The Danish General Suburban Population Study.",
abstract = "AIMS:To investigate how self-reported risk factors (including socioeconomic status) predict undiagnosed, prevalent type 2 diabetes mellitus (T2DM). To externally validate Leicester Risk Assessment Score (LRAS), Finnish Diabetes Risk Score (FINDRISC) and Danish Diabetes Risk Score (DDRS), and to investigate how these predict a European Heart SCORE≥5{\%} in a Danish population study.METHODS:We included 21,205 adults from the Danish General Suburban Population Study. We used relative importance calculations of self-reported variables in prediction of undiagnosed T2DM. We externally validated established prediction models reporting ROC-curves for undiagnosed T2DM, pre-diabetes and SCORE.RESULTS:More than 20{\%} of people with T2DM were undiagnosed. The 7 most important self-rated predictors in sequential order were high BMI, antihypertensive-therapy, age, cardiovascular disease, waist-circumference, fitness compared to peers and family disposition for T2DM. The Area Under the Curve for prediction of undiagnosed T2DM was 77.1 for LRAS; 75.4 for DDRS and 67.9 for FINDRISC. AUCs for SCORE was 75.1 for LRAS; 62.3 for DDRS and 54.3 for FINDRISC.CONCLUSIONS:BMI and self-reported cardiovascular disease are important risk factors for undiagnosed T2DM. LRAS performed better than DDRS and FINDRISC in prediction of undiagnosed T2DM and SCORE≥5{\%}. SCORE performed best in predicting pre-diabetes.Copyright {\circledC} 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserve",
author = "Heltberg, {Andreas S{\o}ndergaard} and Andersen, {John Sahl} and H{\aa}kon Sandholdt and Siersma, {Volkert Dirk} and Jakob Kragstrup and Christina Ellervik",
year = "2018",
doi = "10.1016/j.pcd.2017.08.005",
language = "English",
volume = "12",
pages = "13--22",
journal = "Primary Care Diabetes",
issn = "1751-9918",
publisher = "Elsevier",
number = "1",

}

RIS

TY - JOUR

T1 - Predictors of undiagnosed prevalent type 2 diabetes

T2 - The Danish General Suburban Population Study.

AU - Heltberg, Andreas Søndergaard

AU - Andersen, John Sahl

AU - Sandholdt, Håkon

AU - Siersma, Volkert Dirk

AU - Kragstrup, Jakob

AU - Ellervik, Christina

PY - 2018

Y1 - 2018

N2 - AIMS:To investigate how self-reported risk factors (including socioeconomic status) predict undiagnosed, prevalent type 2 diabetes mellitus (T2DM). To externally validate Leicester Risk Assessment Score (LRAS), Finnish Diabetes Risk Score (FINDRISC) and Danish Diabetes Risk Score (DDRS), and to investigate how these predict a European Heart SCORE≥5% in a Danish population study.METHODS:We included 21,205 adults from the Danish General Suburban Population Study. We used relative importance calculations of self-reported variables in prediction of undiagnosed T2DM. We externally validated established prediction models reporting ROC-curves for undiagnosed T2DM, pre-diabetes and SCORE.RESULTS:More than 20% of people with T2DM were undiagnosed. The 7 most important self-rated predictors in sequential order were high BMI, antihypertensive-therapy, age, cardiovascular disease, waist-circumference, fitness compared to peers and family disposition for T2DM. The Area Under the Curve for prediction of undiagnosed T2DM was 77.1 for LRAS; 75.4 for DDRS and 67.9 for FINDRISC. AUCs for SCORE was 75.1 for LRAS; 62.3 for DDRS and 54.3 for FINDRISC.CONCLUSIONS:BMI and self-reported cardiovascular disease are important risk factors for undiagnosed T2DM. LRAS performed better than DDRS and FINDRISC in prediction of undiagnosed T2DM and SCORE≥5%. SCORE performed best in predicting pre-diabetes.Copyright © 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserve

AB - AIMS:To investigate how self-reported risk factors (including socioeconomic status) predict undiagnosed, prevalent type 2 diabetes mellitus (T2DM). To externally validate Leicester Risk Assessment Score (LRAS), Finnish Diabetes Risk Score (FINDRISC) and Danish Diabetes Risk Score (DDRS), and to investigate how these predict a European Heart SCORE≥5% in a Danish population study.METHODS:We included 21,205 adults from the Danish General Suburban Population Study. We used relative importance calculations of self-reported variables in prediction of undiagnosed T2DM. We externally validated established prediction models reporting ROC-curves for undiagnosed T2DM, pre-diabetes and SCORE.RESULTS:More than 20% of people with T2DM were undiagnosed. The 7 most important self-rated predictors in sequential order were high BMI, antihypertensive-therapy, age, cardiovascular disease, waist-circumference, fitness compared to peers and family disposition for T2DM. The Area Under the Curve for prediction of undiagnosed T2DM was 77.1 for LRAS; 75.4 for DDRS and 67.9 for FINDRISC. AUCs for SCORE was 75.1 for LRAS; 62.3 for DDRS and 54.3 for FINDRISC.CONCLUSIONS:BMI and self-reported cardiovascular disease are important risk factors for undiagnosed T2DM. LRAS performed better than DDRS and FINDRISC in prediction of undiagnosed T2DM and SCORE≥5%. SCORE performed best in predicting pre-diabetes.Copyright © 2017 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserve

U2 - 10.1016/j.pcd.2017.08.005

DO - 10.1016/j.pcd.2017.08.005

M3 - Journal article

C2 - 28964672

VL - 12

SP - 13

EP - 22

JO - Primary Care Diabetes

JF - Primary Care Diabetes

SN - 1751-9918

IS - 1

M1 - 28964672

ER -

ID: 192108658