Two-Step Approach for the Prediction of Future Type 2 Diabetes Risk
Abdul-Ghani, Muhammad A. ; Abdul-Ghani, Tamam ; Stern, Michael P. ; Karavic, Jasmina ; Tuomi, Tiinamaija LU
; Bo, Insoma
; DeFronzo, Ralph A.
and Groop, Leif
LU
(2011)
In Diabetes Care
34(9).
p.2108-2112
- Abstract
- OBJECTIVE-To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG). RESEARCH DESIGN AND METHODS-The model was developed in a cohort of 1,562 non-diabetic subjects from the San Antonio Heart Study (SAHS) and validated in 2,395 nondiabetic subjects in the Botnia Study. A risk score on the basis of anthropometric parameters, plasma glucose and lipid profile, and blood pressure was computed for each subject. Subjects with a risk score above a certain cut point were considered to represent high-risk individuals, and their 1-h PG concentration during the oral glucose tolerance test was used to further refine their future T2DM risk.... (More)
- OBJECTIVE-To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG). RESEARCH DESIGN AND METHODS-The model was developed in a cohort of 1,562 non-diabetic subjects from the San Antonio Heart Study (SAHS) and validated in 2,395 nondiabetic subjects in the Botnia Study. A risk score on the basis of anthropometric parameters, plasma glucose and lipid profile, and blood pressure was computed for each subject. Subjects with a risk score above a certain cut point were considered to represent high-risk individuals, and their 1-h PG concentration during the oral glucose tolerance test was used to further refine their future T2DM risk. RESULTS-We used the San Antonio Diabetes Prediction Model (SADPM) to generate the initial risk score. A risk-score value of 0.065 was found to be an optimal cut point for initial screening and selection of high-risk individuals. A 1-h PG concentration >140 mg/dL in high-risk individuals (whose risk score was >0.065) was the optimal cut point for identification of subjects at increased risk. The two cut points had 77.8, 77.4, and 44.8% (for the SAHS) and 75.8, 71.6, and 11.9% (for the Botnia Study) sensitivity, specificity, and positive predictive value, respectively, in the SAHS and Botnia Study. CONCLUSIONS-A two-step model, based on the combination of the SADPM and 1-h PG, is a useful tool for the identification of high-risk Mexican-American and Caucasian individuals. Diabetes Care 34:2108-2112, 2011 (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2180208
- author
- Abdul-Ghani, Muhammad A.
; Abdul-Ghani, Tamam
; Stern, Michael P.
; Karavic, Jasmina
; Tuomi, Tiinamaija
LU
; Bo, Insoma
; DeFronzo, Ralph A.
and Groop, Leif
LU
- organization
- publishing date
- 2011
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Diabetes Care
- volume
- 34
- issue
- 9
- pages
- 2108 - 2112
- publisher
- American Diabetes Association
- external identifiers
-
- wos:000295195100038
- scopus:84858606982
- pmid:21788628
- ISSN
- 1935-5548
- DOI
- 10.2337/dc10-2201
- language
- English
- LU publication?
- yes
- id
- 07151614-f0be-4520-bcee-4ef0ad039afa (old id 2180208)
- date added to LUP
- 2016-04-01 14:04:32
- date last changed
- 2024-04-10 15:05:40
@article{07151614-f0be-4520-bcee-4ef0ad039afa,
abstract = {{OBJECTIVE-To develop a model for the prediction of type 2 diabetes mellitus (T2DM) risk on the basis of a multivariate logistic model and 1-h plasma glucose concentration (1-h PG). RESEARCH DESIGN AND METHODS-The model was developed in a cohort of 1,562 non-diabetic subjects from the San Antonio Heart Study (SAHS) and validated in 2,395 nondiabetic subjects in the Botnia Study. A risk score on the basis of anthropometric parameters, plasma glucose and lipid profile, and blood pressure was computed for each subject. Subjects with a risk score above a certain cut point were considered to represent high-risk individuals, and their 1-h PG concentration during the oral glucose tolerance test was used to further refine their future T2DM risk. RESULTS-We used the San Antonio Diabetes Prediction Model (SADPM) to generate the initial risk score. A risk-score value of 0.065 was found to be an optimal cut point for initial screening and selection of high-risk individuals. A 1-h PG concentration >140 mg/dL in high-risk individuals (whose risk score was >0.065) was the optimal cut point for identification of subjects at increased risk. The two cut points had 77.8, 77.4, and 44.8% (for the SAHS) and 75.8, 71.6, and 11.9% (for the Botnia Study) sensitivity, specificity, and positive predictive value, respectively, in the SAHS and Botnia Study. CONCLUSIONS-A two-step model, based on the combination of the SADPM and 1-h PG, is a useful tool for the identification of high-risk Mexican-American and Caucasian individuals. Diabetes Care 34:2108-2112, 2011}},
author = {{Abdul-Ghani, Muhammad A. and Abdul-Ghani, Tamam and Stern, Michael P. and Karavic, Jasmina and Tuomi, Tiinamaija and Bo, Insoma and DeFronzo, Ralph A. and Groop, Leif}},
issn = {{1935-5548}},
language = {{eng}},
number = {{9}},
pages = {{2108--2112}},
publisher = {{American Diabetes Association}},
series = {{Diabetes Care}},
title = {{Two-Step Approach for the Prediction of Future Type 2 Diabetes Risk}},
url = {{http://dx.doi.org/10.2337/dc10-2201}},
doi = {{10.2337/dc10-2201}},
volume = {{34}},
year = {{2011}},
}