Glycemic health metric determination and application
First Claim
Patent Images
1. A method using one or more indicators of glycemic health in a patient to balance one or more of hypoglycemic or hyperglycemic tendencies for the patient, the method comprising:
- at a special purpose computing apparatus, computing a profile of a blood glucose concentration of the patient based, at least in part, on a probability density function of a plurality of blood glucose concentration values collected at a blood glucose monitoring device;
determining a metric based, at least in part, on a convolution of a cost or loss function and the profile, wherein the metric is for balancing short-term and long-term risks associated with a therapy, and wherein the metric is representative of a glycemic health of the patient, the cost or loss function being based, at least in part, on a log-square operation and being further based, at least in part, on a parameter selected to balance one or more Spearman rank coefficients with one or more hypoglycemic-based metrics and one or more hyperglycemic-based metrics, wherein the log-square operation is applied to at least one of a computed mean of the plurality of blood glucose concentration values or a measure of a statistical dispersion of the plurality of blood glucose concentration values; and
affecting an insulin therapy applied to the patient by an infusion device, the affected insulin therapy determined based, at least in part, on the metric, wherein the affected insulin therapy is also based, at least part, on a target blood glucose concentration level or target blood glucose range that has been adjusted upward or downward based, at least in part, on an indication by the metric of whether the patient is tending towards hypoglycemia or tending towards hyperglycemia.
1 Assignment
0 Petitions
Accused Products
Abstract
Disclosed are methods, apparatuses, etc. for determination and application of a metric for assessing a patient'"'"'s glycemic health. In one particular implementation, a computed metric may be used to balance short-term and long-term risks associated with a particular therapy.
-
Citations
22 Claims
-
1. A method using one or more indicators of glycemic health in a patient to balance one or more of hypoglycemic or hyperglycemic tendencies for the patient, the method comprising:
-
at a special purpose computing apparatus, computing a profile of a blood glucose concentration of the patient based, at least in part, on a probability density function of a plurality of blood glucose concentration values collected at a blood glucose monitoring device; determining a metric based, at least in part, on a convolution of a cost or loss function and the profile, wherein the metric is for balancing short-term and long-term risks associated with a therapy, and wherein the metric is representative of a glycemic health of the patient, the cost or loss function being based, at least in part, on a log-square operation and being further based, at least in part, on a parameter selected to balance one or more Spearman rank coefficients with one or more hypoglycemic-based metrics and one or more hyperglycemic-based metrics, wherein the log-square operation is applied to at least one of a computed mean of the plurality of blood glucose concentration values or a measure of a statistical dispersion of the plurality of blood glucose concentration values; and affecting an insulin therapy applied to the patient by an infusion device, the affected insulin therapy determined based, at least in part, on the metric, wherein the affected insulin therapy is also based, at least part, on a target blood glucose concentration level or target blood glucose range that has been adjusted upward or downward based, at least in part, on an indication by the metric of whether the patient is tending towards hypoglycemia or tending towards hyperglycemia. - View Dependent Claims (2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 21)
-
-
6. A method using one or more indicators of glycemic health in a patient to balance one or more of hypoglycemic or hyperglycemic tendencies for the patient, the method comprising:
-
at a special purpose computing apparatus, computing a profile of a blood glucose concentration of the patient based, at least in part, on a probability density function of a plurality of blood glucose concentration values collected at a blood glucose monitoring device; determining a metric based, at least in part, on a convolution of a cost or loss function and the profile, wherein the metric is for balancing short-term and long-term risks associated with a therapy and is representative of a glycemic health of the patient, and wherein the loss or cost function substantially has the form;
Loss(GT)=log10(σ
)2+[log 10(μ
)−
log10(GT)]2, where;GT is a target blood glucose concentration value; μ
is a computed mean of the plurality of blood glucose concentration values; andσ
is a measure of the statistical dispersion of the plurality of blood glucose concentration values; andaffecting an insulin therapy applied to the patient by an infusion device, the affected insulin therapy determined based, at least in part, on the metric, wherein the affected insulin therapy is also based, at least part, on a target blood glucose concentration level or target blood glucose range that has been adjusted upward or downward based, at least in part, on an indication by the metric of whether the patient is tending towards hypoglycemia or tending towards hyperglycemia. - View Dependent Claims (22)
-
-
15. A method performed by a special purpose computing apparatus comprising one or more processors, the method comprising:
-
for each of a plurality of patients, (i) at the special purpose computing apparatus determining, using the one or more processors, a profile of a blood glucose concentration of the patient based, at least in part, on a probability density function of a plurality of blood glucose concentration values collected at a blood glucose monitoring device, and (ii) at the special purpose computing apparatus determining, using the one or more processors, a metric based, at least in part, on a convolution of a cost or loss function and the profile, wherein the metric is for balancing short-term and long-term risks associated with a therapy, and wherein the metric is representative of a glycemic health of the patient, the cost or loss function being based, at least in part, on a log-square operation and being further based, at least in part, on a parameter selected to balance one or more Spearman rank coefficients with one or more hypoglycemic-based metrics and one or more hyperglycemic-based metrics, wherein the log-square operation is applied to at least one of a computed mean of the plurality of blood glucose concentration values or a measure of a statistical dispersion of the plurality of blood glucose concentration values, and wherein the profiles of the plurality of patients are obtained under multiple predefined therapies; and ranking, using the one or more processors, the multiple predefined therapies based, at least in part, on the metrics, wherein the ranking of the multiple predefined therapies is used by the one or more processors to control an insulin delivery system for balancing hypoglycemic and hyperglycemic tendencies in the plurality of patients. - View Dependent Claims (16, 17, 18, 20)
-
-
19. A method performed by a special purpose computing apparatus comprising one or more processors, the method comprising:
-
for each of a plurality of patients, (i) at the special purpose computing apparatus determining, using the one or more processors, a profile of a blood glucose concentration of the patient based, at least in part, on a probability density function of a plurality of blood glucose concentration values collected at a blood glucose monitoring device, and (ii) at the special purpose computing apparatus determining, using the one or more processors, a metric based, at least in part, on a convolution of a cost or loss function and the profile, wherein the metric is for balancing short-term and long-term risks associated with a therapy and is representative of a glycemic health of the patient, wherein the profiles of the plurality of patients are obtained under multiple predefined therapies, and wherein the loss or cost function substantially has the form;
Loss(GT)=log10(σ
)2+[log 10(μ
)−
log10(GT)]2, where;GT is a target blood glucose concentration value; μ
is a computed mean of the plurality of blood glucose concentration values; andσ
is a measure of the statistical dispersion of the plurality of blood glucose concentration values; andranking, using the one or more processors, the multiple predefined therapies based, at least in part, on the metrics, wherein the ranking of the multiple predefined therapies is used by the one or more processors to control an insulin delivery system for balancing hypoglycemic and hyperglycemic tendencies in the plurality of patients.
-
Specification