title: Ambulatory glucose profile analysis of the juvenile diabetes research foundation continuous glucose monitoring dataset-Applications to the pediatric diabetes population.
abstract: BACKGROUND
  Increased continuous glucose monitor (CGM) use presents both the benefit and burden of increased data for clinicians to rapidly analyze. The ambulatory glucose profile (AGP) is an evolving a universal software report for CGM data analysis.
  
  
  OBJECTIVE
  We utilized the Juvenile Diabetes Research Foundation-CGM dataset to evaluate the AGP across a broad spectrum of patients to show how AGP can be used clinically to assist with CGM-related decision making. We hypothesized that AGP metrics would be different across age and HbA1c strata.
  
  
  METHODS
  AGPs were generated from the JDRF-CGM trial dataset for all periods during which there were ≥10 days of CGM coverage in the 2 weeks adjacent to an HbA1c measurement yielding 1101 AGPs for 393 unique subjects.
  
  
  METHODS
  AGPs were stratified by age group (8-14, 15-24, and ≥25 years) and HbA1c (within or above target for age) and compared for between group differences in AGP metrics via two-factor ANOVA. Glycemic differences between time periods were analyzed via segmented regression analysis.
  
  
  RESULTS
  Glucose exposure (average and estimated A1c) and variability (standard deviation and interquartile range) were different between the low and high HbA1c levels. Within a given HbA1c level all age groups were significantly different from each other with older patients having lower averages with less variability than younger patients.
  
  
  CONCLUSIONS
  AGP analysis of the JDRF-CGM data highlights significant differences in glycemic profiles between pediatric and adult age groups and between well and less well-controlled patient populations.
authors.affiliation: Barbara Davis Center, University of Colorado Denver, Denver, Colorado.
authors.forename: Gregory P
authors.initials: GP
authors.lastname: Forlenza
authors.affiliation: Department of Pediatrics, University of Colorado Denver, Denver, Colorado.|Department of Biostatistics and Informatics, University of Colorado Denver, Denver, Colorado.
authors.forename: Laura L
authors.initials: LL
authors.lastname: Pyle
authors.affiliation: Barbara Davis Center, University of Colorado Denver, Denver, Colorado.
authors.forename: David M
authors.initials: DM
authors.lastname: Maahs
authors.affiliation: Abbott Diabetes Care, Alameda, California.
authors.forename: Timothy C
authors.initials: TC
authors.lastname: Dunn
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D035843:Biomedical Research; D001786:Blood Glucose / Q000032:analysis*; D002648:Child; D000066491:Clinical Decision-Making; D003922:Diabetes Mellitus, Type 1 / Q000097:blood* / Q000628:therapy; D057286:Electronic Health Records; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis; D006801:Humans; D006943:Hyperglycemia / Q000517:prevention & control*; D007003:Hypoglycemia / Q000517:prevention & control*; D008297:Male; D008954:Models, Biological; D018670:Monitoring, Ambulatory; D016032:Randomized Controlled Trials as Topic; D013223:Statistics as Topic; D014481:United States; D014837:Voluntary Health Agencies; D055815:Young Adult
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin; C517652:hemoglobin A1c protein, human
keywords: ambulatory glucose profile; continuous glucose monitor; diabetes