Heald et al., 2025 - Google Patents
Consistency of the personalized glycated haemoglobin (pHbA1c) methodology over time in people with type 1 diabetes (T1D) using continuous glucose monitoringHeald et al., 2025
View HTML- Document ID
- 7075909034560900711
- Author
- Heald A
- Stedman M
- Paisley A
- Jude E
- Habte‐Asres H
- Gibson J
- Forbes A
- Whyte M
- Publication year
- Publication venue
- Diabetic Medicine
External Links
Snippet
Consistency of the personalized glycated haemoglobin (pHbA1c) methodology over time in
people with type 1 diabetes (T1D) using continuous glucose monitoring - PMC Skip to main
content Here's how you know Official websites use .gov A .gov website belongs to an official …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/72—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood pigments, e.g. haemoglobin, bilirubin or other porphyrins; involving occult blood
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/80—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood groups or blood types or red blood cells
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
- G06F19/3487—Medical report generation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
- G06Q50/24—Patient record management
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/483—Physical analysis of biological material
- G01N33/487—Physical analysis of biological material of liquid biological material
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
- A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
- A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2800/00—Detection or diagnosis of diseases
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Toschi et al. | The relationship between CGM-derived metrics, A1C, and risk of hypoglycemia in older adults with type 1 diabetes | |
| Jackson et al. | Association between urinary sodium and potassium excretion and blood pressure among adults in the United States: National Health and Nutrition Examination Survey, 2014 | |
| Bartnik et al. | Oral glucose tolerance test is needed for appropriate classification of glucose regulation in patients with coronary artery disease: a report from the Euro Heart Survey on Diabetes and the Heart | |
| Gonder-Frederick et al. | Self-measurement of blood glucose: accuracy of self-reported data and adherence to recommended regimen | |
| Dungan et al. | 1, 5-anhydroglucitol and postprandial hyperglycemia as measured by continuous glucose monitoring system in moderately controlled patients with diabetes | |
| Bloomgarden | A1C: recommendations, debates, and questions | |
| Shankar et al. | Association between glycosylated hemoglobin level and cardiovascular and all-cause mortality in type 1 diabetes | |
| Zhou et al. | Establishment of normal reference ranges for glycemic variability in Chinese subjects using continuous glucose monitoring | |
| Thomas et al. | The Trp64Arg polymorphism of the β3-adrenergic receptor gene and obesity in Chinese subjects with components of the metabolic syndrome | |
| Klaff et al. | Accuracy evaluation of contour next compared with five blood glucose monitoring systems across a wide range of blood glucose concentrations occurring in a clinical research setting | |
| Yatsuya et al. | Association between weight fluctuation and fasting insulin concentration in Japanese men | |
| Zhang et al. | Diabetic retinopathy and renal function in Chinese type 2 diabetic patients | |
| Holmes et al. | Analytic bias among certified methods for the measurement of hemoglobin A1c: a cause for concern? | |
| Bloomgarden et al. | The proposed terminology ‘A1c-derived average glucose’is inherently imprecise and should not be adopted | |
| Lewandrowski et al. | Implementing point-of-care testing to improve outcomes | |
| Aroda et al. | Cross-sectional evaluation of noninvasively detected skin intrinsic fluorescence and mean hemoglobin a1c in type 1 diabetes | |
| Chalew et al. | Hemoglobin A1c, frequency of glucose testing and social disadvantage: metrics of racial health disparity in youth with type 1 diabetes | |
| Fang et al. | Performance of the glucose management indicator (GMI) in type 2 diabetes | |
| Angellotti et al. | The calculation of the glucose management indicator is influenced by the continuous glucose monitoring system and patient race | |
| Selvin et al. | Glucose patterns in very old adults: a pilot study in a community-based population | |
| Wang et al. | Annual biological variation and personalized reference intervals of clinical chemistry and hematology analytes | |
| Shillah et al. | Predictors of microvascular complications in patients with type 2 diabetes mellitus at regional referral hospitals in the central zone, Tanzania: a cross-sectional study | |
| Schrot et al. | Evaluation of inaccuracies in the measurement of glycemia in the laboratory, by glucose meters, and through measurement of hemoglobin A1c | |
| Mangelis et al. | African Caribbean ethnicity is an independent predictor of significant decline in kidney function in people with type 1 diabetes | |
| Nobel et al. | Index of cardiometabolic health: a new method of measuring allostatic load using electronic health records |