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AB0638 Metabolic syndrome characteristics in patients with primary gout
  1. M. M. Radak-Perovic1,
  2. M. I. Zlatkovic-Svenda2,2,
  3. M. M. Zlatanovic2,
  4. M. M. Sefik-Bukilica1,
  5. M. M. Terek2,
  6. T. V. Radnic-Zivanovic2
  1. 1University of Belgrade School of Medicine
  2. 2Institute of Rheumatology, Belgrade, Serbia


Background The association between gout and obesity, dyslipidaemia, hypertension and hyperglycaemia is a well-known fact. The presence of most of these abnormalities in the same patient is termed as metabolic syndrome (MetS). MetS increases the risk and the mortality of atherosclerotic cardiovasular diseases (CVDs). In patients with gout the prevalence of MetS is 30% to 82%.

Objectives To determine the prevalence of MetS and to examine the association between non-abdominal/abdominal obesity and the components of MetS in patients with primary gout. BMI/ waist circumference (WC) are anthropometric measurements used as indices of total and abdominal obesity.

Methods A total of 81 pts with primary (ACR) gout, 95.1% males, underwent physical examination and blood tests. The original National Cholesterol Education Program Adult Treatment Panel (NCEP-ATP) III were used to define MetS. Patients with three or more of the following criteria were defined as having MetS: abdominal obesity (WC≥102cm for men; ≥88cm for women), high TG (≥1,69mmol/L), low HDL(<1, o4mmol/L for men, and <1,29mmol/L for women), high blood pressure (≥135/85mmHg) and high fasting glucosae (≥6,1mmol/L). Patients currently taking antihypertensive or hypoglycaemic drugs met the criteria for high blood pressure or high FG. According to WHO, obesity was defined as BMI of ≥ 30kg/m2.

Results The frequency of the individual items of MetS were: WC ≥102cm, 33 (40.7%); blood pressure ≥135/85 mmHg, 61 (75.3%); glucosae≥ 6,1, 32 (39.5%); HDL <1,04mmol/l, 36 (44.4%); triglicerydes ≥1,69, 48 (59.3%). The BMI ≥30kg/m2 was found in 20(28.4%). The prevalence of MetS in pts with gout was 56.8% and it increased with age (from 48.7% in pts younger than 60 years to 64.3% in pts aged 60 and more). Subjects with MetS had higher SUA and sera creatinin leveles than those without MetS, but without statistically significant difference. BMI positively correlated with HTA and hypercholesterolemia (p=0.015 and p=0.041, respectively), and WC positively correlated with HTA (p=0.003).

Conclusions: 1.Our data has shown high prevalence of MetS among gouty pts 2.Correlations between BMI and the components of MetS were similar to those of WC implicating the appropriateness of using either of antropometric measures as indices of obesity in clinical practice 3. Management of obesity should be emphasized to correct metabolic abnormalities in gouty patients.

Disclosure of Interest None Declared

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