Alert system for hypo and hyperglycemia prevention based on clinical risk
A device for generating alerts for Hypo and Hyperglycemia Prevention from Continuous Glucose Monitoring (CGM) determines a dynamic risk based on both information of glucose level and a trend obtainable from a CGM signals. The device includes a display whose color depends on the DR (for example, red for high DR, green for low risk). When DR exceeds a certain threshold, alerts are generated to suggest the patient to pay attention to the current glucose reading and to its trend, both of which are shown on the display in numbers and symbols (e.g. an arrow with different slope or color).
1 . A system for communicating glycemic risk to a patient, comprising:
a continuous glucose monitoring device that generates a series of data points indicative of a glucose level in the patient; and
processing circuitry configured to iteratively:
calculate a rate of change of the glucose level based on the series of data points;
calculate an angle that is a function of the rate of change of the glucose level;
determine a dynamic risk score based on a nonlinear transformation that converts a current glucose level and the rate of change of the glucose level to the dynamic risk score; and
display, on a user interface, information indicative of the dynamic risk score and an arrow that is angled from horizontal by the calculated angle.
2 . The system of claim 1 , wherein the processing circuitry is further configured to generate a perceptible alarm when the dynamic risk score is greater than a predetermined threshold.
3 . The system of claim 1 , wherein the processing circuitry is further configured to display, on the user interface, a color indicative of the dynamic risk score.
4 . The system of claim 3 , wherein the color is displayed as a background color.
5 . The system of claim 1 , wherein the processing circuitry is further configured to:
determine a signal to noise ratio (SNR) associated with the series of data points; and
responsive to a determination that the SNR is at a first SNR level, evaluate the rate of change of the glucose level using a first algorithm.
6 . The system of claim 5 , wherein:
the processing circuitry is further configured to, responsive to a determination that the SNR is at a second SNR level, evaluate the rate of change of the glucose level using a second algorithm; and
the first SNR level is lower than the second SNR level.
7 . The system of claim 6 , wherein the first algorithm is a regularized deconvolution algorithm.
8 . The system of claim 7 , wherein the evaluation of the rate of change using the second algorithm comprises evaluating the rate of change as first order finite differences.
9 . The system of claim 1 , wherein the display is further configured to display, on the user interface, a trend box that indicates a continuous glucose monitoring data trend.
10 . A method for communicating glycemic risk to a patient, comprising:
generating, by a continuous glucose monitoring device, a series of data points indicative of a glucose level in the patient;
iteratively calculating a rate of change of the glucose level based on the series of data points;
iteratively calculating an angle that is a function of the rate of change of the glucose level;
iteratively determining a dynamic risk score based on a nonlinear transformation that converts a current glucose level and the rate of change of the glucose level to the dynamic risk score; and
iteratively displaying, on a user interface, information indicative of the dynamic risk score and an arrow that is angled from horizontal by the calculated angle.
11 . The method of claim 10 , further comprising generating a perceptible alarm when the dynamic risk score is greater than a predetermined threshold.
12 . The method of claim 10 , further comprising displaying, on the user interface, a color indicative of the dynamic risk score.
13 . The method of claim 12 , wherein the color is displayed as a background color.
14 . The method of claim 10 , further comprising:
determining a signal to noise ratio (SNR) associated with the series of data points; and
responsive to a determination that the SNR is at a first SNR level, evaluating the rate of change of the glucose level using a first algorithm.
15 . The method of claim 14 , further comprising, responsive to a determination that the SNR is at a second SNR level, evaluating the rate of change of the glucose level using a second algorithm, wherein the first SNR level is lower than the second SNR level.
16 . The method of claim 15 , wherein the first algorithm is a regularized deconvolution algorithm.
17 . The method of claim 16 , wherein the evaluating the rate of change using the second algorithm comprises evaluating the rate of change as first order finite differences.
18 . The method of claim 10 , further comprising displaying, on the user interface, a trend box that indicates a continuous glucose monitoring data trend.