Type 2 & other diabetes

Risk prediction models for type 2 diabetes using either fasting plasma glucose or HbA1c in Chinese, Malay, and Indians: Results from three multi-ethnic Singapore cohorts

Diabetes Res Clin PractPublished Prognostic model development and validation study

Authors' conclusion

Simplified risk models including HbA1c or FPG had good discrimination in predicting incidence of T2D in three major Asian ethnic groups. Risk functions with HbA1c performed as well as those with FPG.

Study context

Population
Chinese, Malay and Indian adults without T2D at baseline, multiethnic Singapore cohorts; mean follow-up 8.3 yearsvalidation cohorts N = 12,720
Participants
6,217 participants
Comparison
Established fasting plasma glucose (FPG)-based T2D risk models vs simplified models with HbA1c or FPG
Outcome
Discrimination (AUC) and fit of models predicting incident T2D
Follow-up
Average 8.3 years
Methodological detailsprospective cohort, multiethnic, external validation in two independent cohorts
  • Prospective cohort
  • Multiethnic
  • External validation in two independent cohorts

Performance

As reported in the abstract

Test or modelValueAUCFit
Established models0.762 - 0.8280.762 - 0.828P-values < 0.05
Simplified models≥ 0.810≥ 0.810

Value

Established models0.762 - 0.828
Simplified models≥ 0.810

AUC

Established models0.762 - 0.828
Simplified models≥ 0.810

Fit

Established modelsP-values < 0.05
Simplified models— not stated in the abstract
Established models: moderate-to-good discrimination but lack of fit
P < 0.05
Simplified models: good discrimination in all cohorts, sufficiently captured differences between ethnic groups
AUCs ≥ 0.810

Further findings

Calibration of simplified models after recalibration in validation cohorts

Recalibration improved fit; miscalibration remained in Chinese
P ≤ 0.012

Original publication

Risk prediction models for type 2 diabetes using either fasting plasma glucose or HbA1c in Chinese, Malay, and Indians: Results from three multi-ethnic Singapore cohorts. Diabetes Res Clin Pract. Published 15 August 2023. doi:10.1016/j.diabres.2023.110878

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