title: High levels of hsCRP are associated with carbohydrate metabolism disorder.
abstract: OBJECTIVE
  To determine risk parameters associated with high values of high sensitive C-reactive protein (hsCRP) in subjects with different glucose fasting levels.
  
  
  METHODS
  Anthropometric parameters, arterial pressure, glycemia, lipid profile, uric acid, and hsCRP were studied in a population of 513 individuals between 40 and 65 years.
  
  
  RESULTS
  In total, 349 (68.0%) were normoglycemic (NG); 113 (22.0%) had impaired fasting glucose (IFG); and 51 (9.9%) were diabetic subjects. A multivariate linear regression analysis showed that the natural logarithm of hsCRP was associated significantly with glycemia levels (P = 0.009), uric acid (P = 0.001), diastolic blood pressure (P = 0.011), smoking habit (P = 0.021), BMI (P<0.001), and sex (P<0.001). One-third of the NG subjects had high hsCRP levels. A multiple logistic regression analysis showed that sex and BMI were variables related to high levels of hsCRP in subjects with IFG and NG. In NG subjects, uric acid levels were associated with risk of presenting high hsCRP levels and were higher in women than men. In NG women, ROC curves analysis identified a uric acid level of 3.9  mg/dl as a cut-off point to predict a high value of hsCRP. Those individuals with uric acid values higher than 3.9 mg/dl and normal glycemia had 3.5-fold more risk of having hsCRP levels over 3.0 mg/l.
  
  
  CONCLUSIONS
  We sustain that high levels of hsCRP are associated with disturbance in carbohydrate metabolism. In addition, we believe that in low cardiovascular risk population, such as NG women, uric acid levels above 3.9 mg/dl might represent a signal of possible pro-inflammatory state and cardiovascular risk.
authors.affiliation: Programa de Investigación de Factores de Riesgo de Enfermedades, Cardiovasculares, Universidad de Talca, Talca, Chile.
authors.forename: Elba
authors.initials: E
authors.lastname: Leiva
authors.forename: Verónica
authors.initials: V
authors.lastname: Mujica
authors.forename: Katherine
authors.initials: K
authors.lastname: Brito
authors.forename: Ivan
authors.initials: I
authors.lastname: Palomo
authors.forename: Roxana
authors.initials: R
authors.lastname: Orrego
authors.forename: Rodrigo
authors.initials: R
authors.lastname: Moore-Carrasco
authors.forename: Marcela
authors.initials: M
authors.lastname: Vásquez
authors.forename: Luis
authors.initials: L
authors.lastname: Guzmán
authors.forename: Sergio
authors.initials: S
authors.lastname: Nuñez
authors.forename: Nora
authors.initials: N
authors.lastname: Díaz
authors.forename: Gloria
authors.initials: G
authors.lastname: Icaza
authors.forename: Miguel
authors.initials: M
authors.lastname: Arredondo
mesh_terms: D000328:Adult; D000368:Aged; D001786:Blood Glucose / Q000378:metabolism*; D001794:Blood Pressure; D015992:Body Mass Index; D002097:C-Reactive Protein / Q000032:analysis*; D050260:Carbohydrate Metabolism; D002318:Cardiovascular Diseases; D005215:Fasting; D005260:Female; D044882:Glucose Metabolism Disorders / Q000097:blood*; D006801:Humans; D007003:Hypoglycemia; D008297:Male; D008875:Middle Aged; D014527:Uric Acid / Q000097:blood*
chemical_list: D001786:Blood Glucose; D014527:Uric Acid; D002097:C-Reactive Protein
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