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Sex and age affect agreement between fasting plasma glucose and glycosylated hemoglobin for diagnosis of dysglycemia.

  • Lorenzo-Medina, Mercedes1
  • Uranga, Begoña2
  • Rus, Antonio3
  • Martínez, Rosa4
  • Puertas, Carolina5
  • Blanco, María Dolores6
  • Casís, Ernesto7
  • Corcoy, Rosa8
  • 1 Clinical Analysis Department, Hospital Universitario de Gran Canaria Dr. Negrín, Plaza Barranco de la Ballena, 35001 Las Palmas de Gran Canaria, Spain. , (Spain)
  • 2 Core Laboratory, Hospital Donostia, Doctor Begiristain Kalea 117, 20080 Donostia, Spain. , (Spain)
  • 3 Clinical Analysis Department, Hospital San Pedro de la Rioja, Calle Piqueras 98, 26006 Logroño, Spain. , (Spain)
  • 4 Clinical Analysis Department, Hospital Virgen de la Concha, Avda. Requejo 35, 49022 Zamora, Spain. , (Spain)
  • 5 Department of Clinical Biochemistry, Hospital General Universitario Gregorio Marañón, Calle Doctor Esquerdo 46, 28007 Madrid, Spain. , (Spain)
  • 6 Clinical Analysis Department, Hospital de León, Calle Altos de Nava s/n, 24071 León, Spain. , (Spain)
  • 7 Clinical Laboratories, Hospital Universitari Vall d'Hebrón, Passeig Vall d'Hebron 119-129, 08035 Barcelona, Spain. , (Spain)
  • 8 Department of Endocrinology and Nutrition, Hospital de la Santa Creu i Sant Pau, Avgda. Sant Antoni Mª Claret 167, 08025 Barcelona, Spain; Universitat Autònoma de Barcelona, Plaça Cívica, Campus de la UAB, 08193 Cerdanyola del Vallès, Spain; CIBER-BBN, Poeta Mariano Esquillor s/n, 50018 Zaragoza, Spain. Electronic address: [email protected] , (Spain)
Published Article
Endocrinologia, diabetes y nutricion
Publication Date
Jan 01, 2017
DOI: 10.1016/j.endinu.2017.05.008
PMID: 28745605


To assess agreement between fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) levels for diagnosis of dysglycemia (diabetes and risk of diabetes), overall and depending on clinical characteristics. The study enrolled 1020 adult subjects without drug-treated diabetes who underwent a laboratory test at a Spanish health care center. The criteria for dysglycemia of the American Diabetes Association were used. A logistic regression analysis was used to predict de novo diagnosis of dysglycemia based on sex, age, body mass index, anemia, and iron levels. Overall prevalence of dysglycemia was 28.04%, and was identified by FPG only in 13.63% of subjects, by both FPG and HbA1c in 7.65%, and by HbA1c only in 6.76% (de novo diagnoses). Independent predictors of de novo diagnoses based on HbA1c were female sex (odds ratio [OR]: 2.119, 95% confidence interval [CI]: 1.133-4.020; p<0.020), age (OR for 42-56 years: 2.541, 95% CI: 0.634-17.140; OR for ≥57 years: 5.656, 95% CI: 1.516-36.980; overall p<0.007), and serum ferritin levels (borderline significance). In this study population, agreement between FPG and HbA1c for diagnosis of dysglycemia was poor, with FPG being the test that identified more subjects. De novo diagnoses based on HbA1c were more common in females and increased with age. Copyright © 2017 SEEN y SED. Publicado por Elsevier España, S.L.U. All rights reserved.

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