title: Identifying dysglycemic states in older adults: implications of the emerging use of hemoglobin A1c.
abstract: BACKGROUND
  Hemoglobin A1c (A1c) was recently added to the diagnostic criteria for diabetes and prediabetes.
  
  
  OBJECTIVE
  Our objective was to examine performance of A1c in comparison with fasting plasma glucose (FPG) in diagnosing dysglycemia in older adults.
  
  
  METHODS
  We conducted a cross-sectional analysis of data from the Health, Aging, and Body Composition study at yr 4 (2000-2001) when FPG and standardized A1c measurements were available.
  
  
  METHODS
  Of 3075 persons (aged 70-79 yr, 48% men, 42% Black) at study entry, 1865 participants without known diabetes who had appropriate measures were included.
  
  
  METHODS
  Sensitivity and specificity of A1c-based diagnoses were compared with those based on FPG and the proportion of participants identified with dysglycemia by each measure.
  
  
  RESULTS
  Of all participants, 2.7 and 3.1% had undiagnosed diabetes by FPG≥126 mg/dl and A1c≥6.5%, respectively. Among the remaining participants, 21.1% had prediabetes by impaired fasting glucose (≥100 mg/dl) and 22.2% by A1c≥5.7%. Roughly one third of individuals with diabetes and prediabetes were identified by either FPG or A1c alone and by both tests simultaneously. Sensitivities and specificities of A1c compared with FPG were 56.9 and 98.4% for diabetes and 47.0 and 84.5% for prediabetes, respectively. Blacks and women were more likely to be identified with dysglycemia by A1c than FPG.
  
  
  CONCLUSIONS
  In this older population, we found considerable discordance between FPG- and A1c-based diagnosis of diabetes and prediabetes, with differences accentuated by race and gender. Broad implementation of A1c to diagnose dysglycemic states may substantially alter the epidemiology of these conditions in older Americans.
authors.affiliation: Robert Wood Johnson Clinical Scholars Program, Yale University School of Medicine, P.O. Box 208088, 333 Cedar Street, SHM IE-61, New Haven, Connecticut 06520-8088, USA. kasia.lipska@yale.edu
authors.forename: Kasia J
authors.initials: KJ
authors.lastname: Lipska
authors.forename: Nathalie
authors.initials: N
authors.lastname: De Rekeneire
authors.forename: Peter H
authors.initials: PH
authors.lastname: Van Ness
authors.forename: Karen C
authors.initials: KC
authors.lastname: Johnson
authors.forename: Alka
authors.initials: A
authors.lastname: Kanaya
authors.forename: Annemarie
authors.initials: A
authors.lastname: Koster
authors.forename: Elsa S
authors.initials: ES
authors.lastname: Strotmeyer
authors.forename: Bret H
authors.initials: BH
authors.lastname: Goodpaster
authors.forename: Tamara
authors.initials: T
authors.lastname: Harris
authors.forename: Thomas M
authors.initials: TM
authors.lastname: Gill
authors.forename: Silvio E
authors.initials: SE
authors.lastname: Inzucchi
mesh_terms: D000368:Aged; D001786:Blood Glucose / Q000032:analysis; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000175:diagnosis*; D003924:Diabetes Mellitus, Type 2 / Q000097:blood / Q000175:diagnosis; D005215:Fasting; D005260:Female; D006442:Glycated Hemoglobin; D006801:Humans; D008297:Male; D011236:Prediabetic State / Q000097:blood / Q000175:diagnosis*; D044469:Racial Groups; D012727:Sex Characteristics
chemical_list: D001786:Blood Glucose; D006442:Glycated Hemoglobin