title: [Glycosylated hemoglobin as a hyperuricemia risk marker in general population].
abstract: OBJECTIVE
  To evaluate the association between high levels of glycemia and low serum uric acid levels in two independent population-based samples.
  
  
  METHODS
  The first sample was taken from the Pizarra Study, a population-based prospective study of 1.226 persons classified according to their glycometabolic status, as measured from an oral glucose tolerance test. Variables recorded included anthropometric data, serum fasting insulin, uric acid (UA) and HOMA-IR. The second sample was obtained from the Central Laboratory Database, which includes 81,754 laboratory requests for HbA(1c) carried out over 30 months. We selected those that included measurements of UA, triglycerides and albuminuria.
  
  
  RESULTS
  In the Pizarra Study, the fasting glucose levels showed a bell-shaped relation with serum UA levels in men and more especially in women (P<0.0001). In the second sample, the UA levels in women showed a bell-shaped relation with HbA(1c), increasing as the HbA(1c) rose to 7% and then falling with the further increase of HbA(1c) (P<0.0001). Men experienced a linear decrease in UA levels as the HbA(1c) rose (r=-0.19; P<0.0001), though only with effect from HbA(1c) values > 7%. The odds ratio for hyperuricemia (≥ 6mg/dL in women and ≥ 7mg/dL in men) fell continuously as the HbA(1c) levels rose.
  
  
  CONCLUSIONS
  This study, undertaken in two different populations, showed that serum UA levels are non-linearly correlated with the levels of glucose, HbA(1c) and HOMA-IR, especially in women. The risk of hyperuricemia and gout may be higher in persons with prediabetic states or with better-controlled diabetes than in persons with poorly-controlled diabetes.
authors.affiliation: Servicio de Endocrinología y Nutrición, Hospital Universitario Carlos Haya, Málaga, España. eyring@gmail.com
authors.forename: Eva
authors.initials: E
authors.lastname: García-Escobar
authors.forename: Vidal
authors.initials: V
authors.lastname: Pérez-Valero
authors.forename: Diego
authors.initials: D
authors.lastname: Maseda
authors.forename: Sergio
authors.initials: S
authors.lastname: Valdés
authors.forename: Raquel
authors.initials: R
authors.lastname: Yahyaoui
authors.forename: Virginia
authors.initials: V
authors.lastname: Hernando
authors.forename: María Isabel
authors.initials: MI
authors.lastname: Vicioso
authors.forename: María Soledad
authors.initials: MS
authors.lastname: Ruiz de Adana
authors.forename: Manuel
authors.initials: M
authors.lastname: Espinosa Rodrı'guez
authors.forename: María
authors.initials: M
authors.lastname: Rodríguez-Espinosa
authors.forename: Gemma
authors.initials: G
authors.lastname: Rojo-Martínez
authors.forename: Federico
authors.initials: F
authors.lastname: Soriguer
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D005260:Female; D006442:Glycated Hemoglobin / Q000032:analysis*; D006801:Humans; D033461:Hyperuricemia / Q000097:blood*; D008297:Male; D008875:Middle Aged; D011446:Prospective Studies; D012307:Risk Factors; D055815:Young Adult
chemical_list: D015415:Biomarkers; D006442:Glycated Hemoglobin