A system and method for supporting blood glucose management of subjects using a computer system.

Abstract

This system and method provides an immediate way to see how your weekly efforts are reflected in your weekly GA score. [Solution] A method for supporting a subject's blood glucose management using a computer system, comprising a processor and a communication unit connected to the processor and capable of communicating with an electronic terminal accessible to the subject, wherein the processor of the computer system obtains GP[i] and GP[j], which are the glycation rates (GP values) of the subject's target protein at two time points t[i] and t[j]>t[i], via the communication unit; the processor calculates a glucose management index (GMI[i,j]), which is the average blood glucose level converted to GP values ​​for the period between the two time points t[i] and t[j], based on GP[i] and GP[j]; and the processor generates output information based on the glucose management index (GMI[i,j]) and outputs it to the subject via the communication unit.

Claims

1. It is a system to support blood glucose management. The system comprises a sensor, a processor, a memory unit, and a user interface. The sensor is configured to receive the subject's bodily fluids, measure the subject's glycated albumin (GA) level, and transmit the measured GA level to a processor; The aforementioned processor, The sensor receives GA values ​​(GA[i] and GA[j], where t[j] > t[i]) at different time points. Based on formula 1, the GA glucose management index (GMIGA[i,j]), which is the average blood glucose level converted to GA values ​​during the period between two time points t[i] and t[j], is generated. [Math 1] Here, CGA[i,j]=1-exp[-(t[j]-t[i]) / τAlb], τAlb is the time constant for the decrease of albumin; and The system generates output information based on the GA glucose management index (GMIGA[i,j]) and transmits it to the user interface; It is configured in such a way, The user interface is configured to output the output information received from the processor, system.

2. The system according to claim 1, A system in which the interval Δt = t[i] - t[i-1] for acquiring the GA value is substantially between 3 days and 14 days.

3. The system according to claim 1, A system further comprising a communication unit connected to the processor and capable of communicating with the sensor and the user interface.

4. The system according to claim 1, The output information includes an evaluation of the subject's behavior during the period from time t[i-1] to time t[i], provided by the system.

5. The system according to claim 3, The output information includes an evaluation that the actions taken by the subject during the relevant period were effective when the GA glucose management index (GMIGA[i-1,i]) is smaller than the GA value GA[i].

6. The system according to claim 5, The output information is, When the glucose management index (GMI[i-1,i]) is less than the GA value GA[i] for two consecutive times, that is, Condition 1: GMI[i-1, i] < GA[i], and GMI[i-2, i-1] < GA[i-1] When the conditions are met, the actions taken by the subject during the relevant period are evaluated as having been effective, system.

7. The system according to claim 6, If the above condition 1 is not met, When the average of at least two glucose management indicators is sufficiently smaller than the average of at least two corresponding GA values, i.e., Condition 2: Mean {GMI[i-1,i]} < Mean {GA[i]} - h (threshold) When this condition is met, the actions taken by the subject during the relevant period are deemed to have been effective, and / or If the above condition 2 is not met, the actions taken by the subject during the relevant period are deemed ineffective, system.

8. A system according to any one of claims 5 to 7, The output information is, When the GMI is lower than the GMI risk threshold and / or the GA value is lower than the GA risk threshold, an alert is issued indicating that the actions taken by the subject during the relevant period pose a health risk and / or that the target behavior should be changed. system.

9. The system according to claim 1, The processor acquires behavioral information relating to the actions taken by the subject during the period between time points t[i-1] and t[i]; and The system is configured to determine the relationship between the aforementioned behavioral information and the aforementioned glucose management index (GMI[i-1,i]). system.

10. The system according to claim 9, The system includes, as the behavioral information, self-reported information by the subject and / or biometric information obtained concerning the subject.

11. The system according to claim 9, A system for determining the relationship between the aforementioned behavioral information and the aforementioned glucose management index (GMI[i-1,i]) includes referring to a database containing behavioral information and GA values ​​of non-subjects, who are not the subject.

12. The system according to claim 9, The system further comprises a processor configured to generate target actions that the subject should perform in the future based on the association, and to output the generated target actions to the subject.

13. The system according to claim 12, A system for generating target actions that the subject should perform in the future, which includes not including or removing from the generated target actions actions that were ineffective or risky in the subject's previous behavioral information, or lowering the priority of actions that were ineffective or risky.

14. The system according to claim 12, A system in which an algorithm for generating target actions that the subject should perform in the future is stored in the memory unit, and the algorithm is optimized using the subject's glucose management indicator as an evaluation parameter.

15. The system according to claim 1, The aforementioned processor performs the following steps: (a1) Obtain the subject's first GA value GA[m] at the first time point t[m] from the sensor; (b1) Obtaining a time-series GA glucose management index {GMIGA[i-1,i]} (i=m+1 to n) from the sensor from the first time point t[m] to the second time point t[n]; and (c1) Based on the first GA value GA[m] and the time-series GA glucose management index {GMIGA[i-1,i]} (i=m+1 to n), determine the second GA value GA[n] at the second time point t[n]. Configured to perform, system.

16. The system according to claim 1, The aforementioned processor performs the following steps: (a2) Obtain the subject's first GA value GA[m] at the first time point t[m] from the sensor; (b2) Obtaining a target second GA value GA[n] at a second time point t[n] from the sensor; and (c2) Based on the first GA value GA[m] and the second GA value GA[n], determine the time-series GA glucose management index {GMIGA[i-1,i]} (i=m+1 to n) necessary to reach the second GA value GA[n] at the second time point t[n]. Configured to perform, system.

17. The system according to claim 1, The aforementioned processor performs the following steps: (a) Obtaining multiple time-series glycated albumin (GA) values ​​of the subject from time point t[q] to t[r] (q>r); (b) Based on the time-series glucose management index (GMIGA) of the GA values ​​obtained from the acquired time-series GA values ​​and the glycation sensitivity ratio RGI, calculate the GMI (GMIHbA1c[q,r]) of the HbA1c value for the period from t[q] to t[r] using the following formulas 15 and 16: [Number 15] Here, [Number 16] (c) Obtain the subject's HbA1c value (HbA1c[q]) at time t[q]; (d) Using the GMI (GMIHbA1c[q,r]) of the HbA1c value during the period from t[q] to t[r] and the subject's HbA1c value (HbA1c[q]) at time t[q], the following formula is used: [Number 15] To estimate the HbA1c value (HbA1c[r]) of the subject at time t[r] (r>q); and (e) Generate output information based on the estimated HbA1c value (HbA1c[r]) at the estimated time t[r] and output it to the user interface; Configured to perform, system.

18. The system according to claim 17, The RGI is expressed by the following formula: [Number 18] system.

19. The system according to claim 17, The RGI is expressed by the following formula: [Math 21] method.

20. A method for supporting the blood glucose management of a subject using a computer system, The computer system comprises a sensor, a processor, a memory unit, and a user interface. The aforementioned method, The sensor measures the body fluids of the subject and obtains the subject's GA value; To transmit GA values ​​(GA[i] and GA[j], where t[j] > t[i]) at different points in time to the processor; The processor generates a GA glucose control index (GMIGA[i,j]), which is the average blood glucose level converted to GA values ​​during the period between two time points t[i] and t[j], based on formula 1. [Math 1] Here, CGA[i,j]=1-exp[-(t[j]-t[i]) / τAlb], τAlb is the time constant for the decrease of albumin; To generate output information based on the GA glucose management index (GMIGA[i,j]) and transmit it to the user interface; and The user interface outputs the output information received from the processor to the target person. Equipped with, method.

21. A method for supporting blood glucose management of a subject using a computer system, as described in claim 20, The aforementioned method, (a) Using the sensor, measure the body fluids of the subject and obtain multiple time-series glycoalbumin values ​​(GA values) of the subject from time t[q] to t[r] (q>r); (b) The processor calculates the GMI (GMIHbA1c[q,r]) of the HbA1c value for the period from t[q] to t[r] using the following formula (Eq. 18), based on the time-series glucose management index (GMIGA) of the GA value obtained from the acquired time-series GA value and the glycation sensitivity ratio RGI; [Number 18] Here, [Number 19] (c) The processor obtains the subject's HbA1c value (HbA1c[q]) at time t[q]; (d) The processor uses the following formula to determine the GMI (GMIHbA1c[q,r]) of the HbA1c value during the period from t[q] to t[r] and the subject's HbA1c value (HbA1c[q]) at time t[q]: [Number 15] To estimate the HbA1c value (HbA1c[r]) of the subject at time t[r] (r>q); and (d) The processor generates output information based on the estimated HbA1c value (HbA1c[r]) at time t[r] and transmits it to the user interface; (e) Outputting the output information received from the processor to the target person via the user interface; A method for providing this.

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