# US 2019/0318801 A1 · Tracking changes in average glycemia in diabetics

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- Number: US 2019/0318801 A1
- Document ID: US20190318801A1
- Status: Published application
- Kind: A1
- Application number: 16/451,766
- Filed: 2019-06-25
- Published: 2019-10-17
- Earliest claimed: 2013-02-21
- Assignees: University of Virginia Patent Foundation
- Applicants: University of Virginia Patent Foundation
- Inventors: Boris P. Kovatchev; Marc D. Breton
- Web page: https://patentgrep.com/patent/US20190318801A1

## CPC

- G16H 50/50: for simulation or modelling of medical disorders
- A61B 5/14532: {for measuring glucose, e.g. by tissue impedance measurement}
- A61B 5/7267: {involving training the classification device}
- G01N 33/48707: {by electrical means (G01N33/49, G01N33/493 take precedence)}
- G16B 5/00: ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
- G16H 10/00: ICT specially adapted for the handling or processing of patient-related medical or healthcare data (for medical reports G16H15/00; for therapies or health-improving plans G16H20/00; for the handling or processing of medical images G16H30/00)
- G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems
- A61B 5/4839: {combined with drug delivery}
- A61B 2560/0223: of calibration, e.g. protocols for calibrating sensors
- G01N 2800/042: Disorders of carbohydrate metabolism, e.g. diabetes, glucose metabolism
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q)
- G16B: BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY

## Abstract

A method, system and computer readable medium for tracking changes in average glycemia in diabetes is based on a conceptually new approach to the retrieval of SMBG data. Using the understanding of HbA1c fluctuation as the measurable effect of the action of an underlying dynamical system, SMBG provides occasional glimpses at the state of this system and, using these measurements, the hidden underlying system trajectory can be reconstructed for individual diabetes patients. Using compartmental modeling a new two-step algorithm is provided that includes: (i) real-time estimate of HbA1c from fasting glucose readings, updated with any new incoming fasting SMBG data point(s), and (ii) initialization and calibration of the estimated HbA1c trace with daily SMBG profiles obtained periodically. The estimation of these profiles includes a factorial model capturing daily BG variability within two latent factors.

## Claims

### Claim 1

A system for providing a real-time estimate of glycosylated hemoglobin (HbA1c) of a patient from a self-monitoring blood glucose (SMBG) measurement, and tracking changes in average glycemia of said patient over time, comprising:
one or more processors; and
a processor-readable memory having stored thereon processor-executable instructions that when executed cause at least one of said one or more processors to:
receive a fasting SMBG measurement from said patient,
compute a glycation value using said fasting SMBG measurement in a predetermined glycation equation,
update said glycation value by using an updated SMBG value in said predetermined glycation equation, said updated SMBG value being based on a subsequent fasting SMBG measurement from said patient,
compute an updated estimate of HbA1c using an initial estimate of HbA1c and said updated glycation value in a predetermined HbA1c estimation equation, and
output said updated estimate of HbA1c to a user.

### Claim 2

A computer-implemented method for providing a real-time estimate of glycosylated hemoglobin (HbA1c) of a patient from a self-monitoring blood glucose (SMBG) measurement, and tracking changes in average glycemia of said patient over time, said method comprising:
receiving, by a processor, a fasting SMBG measurement from said patient;
computing, by a processor, a glycation value using said fasting SMBG measurement in a predetermined glycation equation;
updating, by a processor, said glycation value by using an updated SMBG value in said predetermined glycation equation, said updated SMBG value being based on a subsequent fasting SMBG measurement from said patient;
computing, by a processor, an updated estimate of HbA1c using an initial estimate of HbA1c and said updated glycation value in a predetermined HbA1c estimation equation; and
outputting, by a processor, said updated estimate of HbA1c to a user.