Data processing device for individualized prediction and calibration of glycosylated hemoglobin value and auxiliary judgment of risk of blood glucose rise
A data and blood sugar technology, applied in the field of data processing devices, can solve the problems of unpredictable and correct system application, high CGM price, lack of accuracy, etc.
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[0628] The randomization of the study population
[0629] Using clinical data from eight hospitals across the country, patients with type 2 diabetes had stable hypoglycemic treatment regimens (including diet, exercise, and drugs) for at least 3 months. A total of 1642 patients with type 2 diabetes were collected and randomly divided into a model establishment group of 819 There are 823 people in the human and model validation group. The main data included demographic data, glycosylated hemoglobin (HbA1c (%)), fasting plasma glucose (FPG (mmol / L)), postprandial 2-fraction plasma glucose (PPG2h (mmol / L)), 3 fasting capillary blood glucose ( FCG (mmol / L)) and calculate the mean (mean FCG (mmol / L)), 3 to 9 postprandial capillary blood glucose (PCG (mmol / L)) and calculate the mean (mean PCG (mmol / L)), Glycated albumin (GA(%)) was determined centrally. The HbA1c determinations of the eight centers were all standardized and compared by the national central laboratory (Laboratory De...
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