Two-step approach for the prediction of future type 2 diabetes risk

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 nondiabetic 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.

Medienart:

E-Artikel

Erscheinungsjahr:

2011

Erschienen:

2011

Enthalten in:

Zur Gesamtaufnahme - volume:34

Enthalten in:

Diabetes care - 34(2011), 9 vom: 19. Sept., Seite 2108-12

Sprache:

Englisch

Beteiligte Personen:

Abdul-Ghani, Muhammad A [VerfasserIn]
Abdul-Ghani, Tamam [VerfasserIn]
Stern, Michael P [VerfasserIn]
Karavic, Jasmina [VerfasserIn]
Tuomi, Tiinamaija [VerfasserIn]
Bo, Insoma [VerfasserIn]
Defronzo, Ralph A [VerfasserIn]
Groop, Leif [VerfasserIn]

Links:

Volltext

Themen:

Blood Glucose
Journal Article

Anmerkungen:

Date Completed 11.05.2012

Date Revised 22.03.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.2337/dc10-2201

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM210236299