Arquivos Brasileiros de Cardiologia (Mar 2011)

Associação entre ácido úrico e variáveis de risco cardiovascular em uma população não hospitalar Asociación entre ácido úrico y variables de riesgo cardiovascular en una población no hospitalaria Association between uric acid and cardiovascular risk variables in a non-hospitalized population

  • Monica Cristina Campos Barbosa,
  • Andréa Araujo Brandão,
  • Roberto Pozzan,
  • Maria Eliane Campos Magalhães,
  • Érika Maria Gonçalves Campana,
  • Flavia Lopes Fonseca,
  • Oswaldo Luiz Pizzi,
  • Elizabete Viana de Freitas,
  • Ayrton Pires Brandão

Journal volume & issue
Vol. 96, no. 3
pp. 212 – 218

Abstract

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FUNDAMENTO: A associação entre ácido úrico (AU) e as variáveis de risco cardiovascular permanece controversa em estudos epidemiológicos. OBJETIVO: Avaliar a associação entre o AU, pressão arterial (PA), índices antropométricos e variáveis metabólicas em população não hospitalar estratificada por quintis de AU. MÉTODOS: Em estudo observacional transversal, foram avaliados 756 indivíduos (369M), com idade de 50,3 ± 16,12 anos, divididos em quintis de AU. Foram obtidos PA, índice de massa corporal (IMC), circunferência abdominal (CA), AU, glicose, insulina, HOMA-IR, colesterol (CT), LDL-c, HDL-c, triglicerídeos (TG), creatinina (C). Foi calculada a taxa de filtração glomerular estimada (TFGE) e considerada hipertensão arterial (HA) quando a PA > 140x90 mmHg, sobrepeso/obesidade (S/O) quando IMC > 25 kg/m² e síndrome metabólica (SM) de acordo com a I Diretriz Brasileira de SM. RESULTADOS: 1) Não houve diferença entre os grupos na distribuição por sexo e faixa etária; 2) Os maiores quintis de AU apresentaram maiores médias de idade (p FUNDAMENTO: La asociación entre ácido úrico (AU) y las variables de riesgo cardiovascular permanece controvertida en estudios epidemiológicos. OBJETIVO: Evaluar la asociación entre el AU, presión arterial (PA), índices antropométricos y variables metabólicas en población no hospitalaria estratificada por quintiles de AU. MÉTODOS: En estudio observacional transversal, se evaluaron a 756 individuos (369 hombres), con promedio de edad de 50,3 ± 16,12 años, divididos en quintiles de AU. Se obtuvieron PA, índice de masa corporal (IMC), circunferencia abdominal (CA), dosis de AU, glucosa, insulina, HOMA-IR, colesterol (CT), LDL-c, HDL-c, triglicéridos (TG), creatinina (C). Se calculó la tasa de filtración glomerular estimada (TFGE) y considerada como hipertensión arterial (HA) cuando la PA > 140 x 90 mmHg, sobrepeso/obesidad (S/O) cuando IMC > 25 kg/m² y síndrome metabólico (SM) de acuerdo con la I Directriz Brasileña de SM. RESULTADOS: 1) no hubo diferencia entre los grupos en la distribución por sexo y grupo de edad; 2) los mayores quintiles de AU presentaron mayores promedios de edad (p BACKGROUND: The association between uric acid (UA) and cardiovascular risk variables remains a controversial issue in epidemiological studies. OBJECTIVE: To evaluate the association between UA, blood pressure (BP), anthropometric indices and metabolic variables in a non-hospitalized population stratified by UA quintiles. METHODS: A cross-sectional observational study evaluated 756 individuals (369 males), aged 50.3 ± 16.12 years, divided in UA quintiles. BP, body mass index (BMI), abdominal circumference (AC), UA, glucose, insulin, HOMA-IR, total cholesterol (TC), LDL-c, HDL-c, triglycerides (TG) and creatinine (C) levels were obtained. The estimated glomerular filtration rate (eGFR) was calculated and arterial hypertension (AH) was considered when BP > 140x90 mmHg, overweight/obesity (OW/O) was considered when BMI > 25 kg/m² and metabolic syndrome (MS) was established according to the I Brazilian Guideline of MS. RESULTS: 1) There was no difference between the groups regarding the distribution by sex and age range; 2) The highest UA quintiles presented higher mean age (p < 0.01), BMI, AC (p < 0.01), SBP, DBP (p < 0.001), TC, LDL-c, TG (p < 0.01), C and eGFR (p < 0.001) and lower mean HDL-c (p < 0.001); 3) The group with the highest UA quintile showed higher prevalence of AH, OW/O and MS (p < 0.001); 4) Higher percentages of the lowest quintiles of insulin (p < 0.02) and HOMA-IR (p < 0.01) were observed with the lowest quintiles of UA; 5) A logistic regression analysis showed that UA and the variables that compose MS were associated with the occurrence of MS (p < 0.01). CONCLUSION: Higher quintiles of uric acid were associated with a worse cardiovascular risk profile and a worse kidney function profile in the non-hospitalized population sample studied.

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