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Dataset Information

Using hemoglobin A1C as a predicting model for time interval from pre-diabetes progressing to diabetes.


ABSTRACT:

Objective

The early identification of subjects at high risk for diabetes is essential, thus, random rather than fasting plasma glucose is more useful. We aim to evaluate the time interval between pre-diabetes to diabetes with anti-diabetic drugs by using HbA1C as a diagnostic tool, and predicting it using a mathematic model.

Methods

We used the Taipei Medical University Affiliated Hospital Patient Profile Database (AHPPD) from January-2007 to June-2011. The patients who progressed and were prescribed anti-diabetic drugs were selected from AHPPD. The mathematical model used to predict the time interval of HbA1C value ranged from 5.7% to 6.5% for diabetes progression.

Results

We predicted an average overall time interval for all participants in between 5.7% to 6.5% duri

SUBMITTER: Huang CL 

PROVIDER: S-EPMC4122428 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature