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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.

Pending Publication Date: 2022-07-01
PEOPLES HOSPITAL PEKING UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

However, studies have shown that any measured HbA1c value corresponds to a wider range of average blood glucose obtained from CGM (Diabetes Care. Lacking the accuracy needed for clinical practice, and due to the high price of CGM, the Chinese guidelines for the prevention and treatment of type 2 diabetes recommend that CGM be mainly used for patients with type 2 diabetes who require intensive insulin therapy or those with unexplained severe hypoglycemia, hyperglycemia, and large fluctuations in blood sugar patient
Therefore, it is currently not possible to routinely use CGM as a predictive and corrective system for HbA1c clinically.

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  • Data processing device for individualized prediction and calibration of glycosylated hemoglobin value and auxiliary judgment of risk of blood glucose rise
  • Data processing device for individualized prediction and calibration of glycosylated hemoglobin value and auxiliary judgment of risk of blood glucose rise

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Embodiment

[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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Abstract

The invention discloses a data processing device for individually predicting and calibrating a glycosylated hemoglobin value and assisting in judging the risk of blood glucose rise. The system comprises the following modules: (A) a data receiving module, wherein the data receiving module is configured to receive at least one of the following parameters: single-time fasting plasma blood glucose of a person to be tested, plasma blood glucose of 2 hours after single meal, arithmetic average value of multiple-time fasting capillary blood glucose, calculated arithmetic average value of 2 hours after multiple-time meal capillary blood glucose, and single-time glycated albumin; (B) a data operation module; the data operation module is configured to receive data from the data receiving module; the data operation module comprises a parameter operation module I and a parameter operation module II, and obtains an HbA1c point estimation value through operation; setting the HbA1c prediction range width and the HbA1c point estimation value according to clinical requirements, and calculating to obtain the lower limit and the upper limit of the HbA1c prediction range of the to-be-tested person. According to the method, the prediction range width is set according to clinical requirements, and the accuracy of auxiliary judgment of blood glucose rise is improved.

Description

technical field [0001] The invention relates to a data processing device for individually predicting and calibrating the glycated hemoglobin value and assisting in judging the risk of blood sugar rise, belonging to the field of biomedicine. Background technique [0002] Glycated hemoglobin (HbA1c) is a non-enzymatic glycosylation product of hemoglobin in red blood cells, which reflects the average blood glucose level of 2-3 months and is the "gold standard" for evaluating 3-month blood sugar control in diabetic patients. Controlling HbA1c <7.0% in adults with diabetes can significantly reduce the risk of diabetic microangiopathy. In clinical practice, HbA1c is the most important basis for doctors to adjust the dose and type of hypoglycemic drugs. [0003] However, HbA1c also has limitations as an indicator for monitoring glycemic control and adjusting hypoglycemic regimens. First, because the change of HbA1c level takes 2-3 months, it cannot be used as the basis for the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/72
CPCG01N33/72
Inventor 周翔海纪立农张放韩学尧贾伟平杜建玲张帆周健
Owner PEOPLES HOSPITAL PEKING UNIV