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Dataset Information

Development of a Chinese-Specific Clinical Model to Predict Maturity-Onset Diabetes of the Young.


ABSTRACT:

Aims

Accurate identification of individuals with maturity-onset diabetes of the young (MODY) can support precision diabetes management. However, diagnosing MODY is challenging due to overlapping clinical features with type 2 diabetes. We aimed to develop a prediction model for identifying Chinese with high likelihood of MODY for further genetic testing.

Methods

We developed a logistic regression model using clinical data from an unselected cohort of 1021 Chinese with young-onset (age at diagnosis ≤ 40) non-type 1 diabetes enrolled in the Hong Kong Diabetes Register, 1.9% (n = 19) of whom had MODY (GCK-, HNF1A-, HNF4A- and HNF1B-MODY) by molecular confirmation. We validated the model in an independent local cohort of 822 Chinese with young-onset non-type 1 diabetes. We compar

SUBMITTER: Tsoi STF 

PROVIDER: S-EPMC12445802 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature