JPWO2020201077A5

JPWO2020201077A5 -

Info

Publication number: JPWO2020201077A5
Application number: JP2021557785A
Authority: JP
Publication date: 2023-04-05

Claims

1. A computer-implemented method for determining relative risk of lack of glycemic control in at least two patients, comprising: one or more data processors (3a), connected to said one or more data processors (3a) in a data processing device (2) having a data storage device (3b) with
providing a first set of glucose measurement data assigned to the first patient collected by performing a first frequency of measurement events;
providing a second set of glucose measurement data assigned to a second patient collected by performing a second frequency of measurement events different from the first frequency of measurement events;
providing a plurality of evaluation parameters in said data storage (3b) each assigned to at least one of said first frequency measurement event and said second frequency measurement event;
determining at least one first evaluation parameter from the plurality of evaluation parameters in the data store (3b) in response to the first frequency of measurement events;
at least one second evaluation parameter different from the at least one first evaluation parameter from the plurality of evaluation parameters in the data storage device (3b) in response to the second frequency measurement event; determining;
determining, from the first set of glucose measurement data, a first assessment parameter value assigned to the first patient for the at least one first assessment parameter;
determining a second assessment parameter value to be assigned to the second patient for the at least one second assessment parameter from the second set of glucose measurement data;
determining a first risk score assigned to the first patient and a second risk score assigned to the second patient from the first assessment parameter value and the second assessment parameter value, respectively; ;
of said first patient and said second patient by comparing a first total risk score comprising said first risk score and a second total risk score comprising said second risk score; determining a relative risk of lack of glycemic control that indicates a higher risk of lack of glycemic control for one.

providing a first set of glucose measurement data collected in a first plurality of spot monitoring glucose measurement events applying said first frequency of measurement events; and applying said second frequency of measurement events. providing a second set of glucose measurement data collected at a second plurality of spot monitoring glucose measurement events;
2. The method of claim 1, comprising at least one of:

For at least one of the first and second sets of glucose measurement data:
determining one or more consecutive glucose measurements to be collected subsequent to collecting preceding glucose measurements in preceding measurement events, wherein the one or more consecutive glucose measurements are , determining glucose measurements collected at one or more consecutive measurement events within a predetermined time window following the preceding measurement event;
excluding the one or more consecutive glucose measurements from the determination of the first/second assessment parameter values;
3. The method of claim 1 or 2, comprising:

determining a plurality of first assessment parameter values to be assigned to the first patient for a plurality of first assessment parameters from the first set of glucose measurement data;
determining a plurality of second assessment parameter values to be assigned to the second patient for a plurality of second assessment parameters from the second set of glucose measurement data;
The first total risk score and the second total risk score are sums of the first and second risk scores for the plurality of first assessment parameter values and the plurality of second assessment parameter values, respectively determined by
4. A method according to any one of claims 1-3.

5. The method of claim 4, wherein at least one common evaluation parameter is provided in both the plurality of first evaluation parameters and the plurality of second evaluation parameters.

the first set of glucose measurement data is assigned to a first patient with a first type of diabetes;
the second set of glucose measurement data is assigned to a second patient with a second type of diabetes;
selecting at least one of said at least one first assessment parameter and said at least one second assessment parameter depending on said first type of diabetes and said second type of diabetes, respectively 6. The method of any one of claims 1-5, further comprising:

7. The method of any one of claims 1-6, wherein the second patient is different from the first patient.

wherein said first evaluation parameter and said second evaluation parameter are a hypoglycemic index, a hyperglycemic index, a warning sign, a mean glycemic index, a median glycemic index, a stability index, and a peak risk of hypoglycemic and hyperglycemic events per day 8. A method according to any one of claims 1 to 7, wherein the parameter is selected from the group of evaluation parameters: total daily blood glucose variability determined by summing

9. The method of claim 8, wherein the first assessment parameter or the plurality of first assessment parameters is selected from the group of assessment parameters: low glycemic index, high glycemic index, warning signs, average blood glucose, and median blood glucose. the method of.

wherein said second assessment parameter or said plurality of second assessment parameters is determined by summing the hypoglycemic index, the hyperglycemic index, the stability index, and the peak risk of hypoglycemic and hyperglycemic events per day; 10. The method of claim 8 or 9, wherein the method is selected from the group of assessment parameters of total daily blood glucose variability.

the plurality of first assessment parameters includes a low glycemic index (LBGI), a high glycemic index (HBGI), a warning sign (WS), and a median blood glucose;
wherein the plurality of second assessment parameters are obtained by summing the low glycemic index (LBGI), the high glycemic index (HBGI), the stability index (SI), and the peak risk of hypoglycemic and hyperglycemic events per day; including the determined total daily blood glucose variation (ADRR);
The risk scores of the plurality of first evaluation parameter values and the plurality of second evaluation parameter values are, respectively,

determined according to
A warning sign parameter value is calculated as the warning sign risk variable (WSRV):

where the subscript i indicates an event, the weight of said event with subscript i is indicated by w _i , and the variable x _i indicates whether said event has occurred (boolean=1) or not (boolean value=0) represents a boolean value of whether
11. A method according to any one of claims 5 to 10 with reference to claim 4.

a need for treatment review and treatment adjustment for said first patient and said second patient, respectively, if at least one of said first total risk score and said second total risk score exceeds a predefined threshold 12. A method according to any one of claims 1 to 11, wherein at least one of

a) predefining a first maximum achievable total risk score and a first threshold, wherein the ratio of said first total risk score and said first maximum achievable total risk score is a first If the defined threshold is exceeded,
indicating at least one of a need for therapy review and therapy adjustment for the first patient; and triggering an electronic message sent to the first patient;
providing at least one of
predefining a first maximum achievable total risk score and a first threshold, wherein said first predefined threshold is greater than 0.5; and b) a second maximum achievable total risk score. and predefining a second threshold, if the ratio of the second total risk score and the second maximum achievable total risk score exceeds the second predefined threshold;
indicating at least one of a need for therapy review and therapy adjustment of said second patient; and triggering an electronic message sent to said second patient;
providing at least one of
predefining a second maximum achievable total risk score and a second threshold, wherein the second predefined threshold is greater than 0.5;
13. The method of any one of claims 1-12, further comprising at least one of

14. The method of claim 13, wherein said first predefined threshold is greater than 0.7 and said second predefined threshold is greater than 0.7.

14. The method of claim 13, wherein the first predefined threshold is greater than 0.8 or 0.9 and the second predefined threshold is greater than 0.8 or 0.9.

A system for determining the relative risk of lack of glycemic control in at least two patients, comprising: one or more data processors (3a), connected to said one or more data processors (3a) a data processing device (2) having a data storage device (3b), said data processing device (2) comprising:
to provide a first set of glucose measurement data assigned to the first patient collected by performing a first frequency of measurement events;
to provide a second set of glucose measurement data assigned to a second patient collected by performing a second frequency of measurement events different from the first frequency of measurement events;
providing a plurality of evaluation parameters in said data storage (3b) each assigned to at least one of said first frequency measurement event and said second frequency measurement event;
determining at least one first evaluation parameter from the plurality of evaluation parameters in the data store (3b) in response to the first frequency of measurement events;
at least one second evaluation parameter different from the at least one first evaluation parameter from the plurality of evaluation parameters in the data storage device (3b) in response to the second frequency measurement event; as determined;
determining, from the first set of glucose measurement data, a first assessment parameter value assigned to the first patient for the at least one first assessment parameter;
determining from the second set of glucose measurement data a second assessment parameter value assigned to the second patient for the at least one second assessment parameter;
to determine a first risk score assigned to the first patient and a second risk score assigned to the second patient from the first assessment parameter value and the second assessment parameter value, respectively; and of said first patient and said second patient by comparing a first total risk score comprising said first risk score and a second total risk score comprising said second risk score; A system configured to determine a relative risk of lack of glycemic control that indicates a higher risk of lack of glycemic control for one of them.

An implementation method for determining the relative risk of lack of glycemic control for at least two patients according to any one of claims 1 to 15 when loaded on a computer having one or more processors. A computer program containing program code configured to