Validation of the Framingham Diabetes Risk Model Using Community-Based KoGES Data

© 2024 The Korean Academy of Medical Sciences..

BACKGROUND: An 8-year prediction of the Framingham Diabetes Risk Model (FDRM) was proposed, but the predictor has a gap with current clinical standards. Therefore, we evaluated the validity of the original FDRM in Korean population data, developed a modified FDRM by redefining the predictors based on current knowledge, and evaluated the internal and external validity.

METHODS: Using data from a community-based cohort in Korea (n = 5,409), we calculated the probability of diabetes through FDRM, and developed a modified FDRM based on modified definitions of hypertension (HTN) and diabetes. We also added clinical features related to diabetes to the predictive model. Model performance was evaluated and compared by area under the curve (AUC).

RESULTS: During the 8-year follow-up, the cumulative incidence of diabetes was 8.5%. The modified FDRM consisted of age, obesity, HTN, hypo-high-density lipoprotein cholesterol, elevated triglyceride, fasting glucose, and hemoglobin A1c. The expanded clinical model added γ-glutamyl transpeptidase to the modified FDRM. The FDRM showed an estimated AUC of 0.71, and the model's performance improved to an AUC of 0.82 after applying the redefined predictor. Adding clinical features (AUC = 0.83) to the modified FDRM further improved in discrimination, but this was not maintained in the validation data set. External validation was evaluated on population-based cohort data and both modified models performed well, with AUC above 0.82.

CONCLUSION: The performance of FDRM in the Korean population was found to be acceptable for predicting diabetes, but it was improved when corrected with redefined predictors. The validity of the modified model needs to be further evaluated.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:39

Enthalten in:

Journal of Korean medical science - 39(2024), 5 vom: 05. Feb., Seite e47

Sprache:

Englisch

Beteiligte Personen:

Lee, Hye Ah [VerfasserIn]
Park, Hyesook [VerfasserIn]
Hong, Young Sun [VerfasserIn]

Links:

Volltext

Themen:

Diabetes
Framingham Offspring Study
Glycated Hemoglobin
Journal Article
Probability
Risk Assessment

Anmerkungen:

Date Completed 07.02.2024

Date Revised 10.02.2024

published: Electronic

Citation Status MEDLINE

doi:

10.3346/jkms.2024.39.e47

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368067041