4.6 Article

Hypertriglyceridemia and Waist Circumference Predict Cardiovascular Risk among HIV Patients: A Cross-Sectional Study

期刊

PLOS ONE
卷 6, 期 9, 页码 -

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PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0025032

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资金

  1. Canadian Institutes of Health Research
  2. Heart and Stroke foundation of Ontario
  3. Marks Work Warehouse
  4. Sanofi-Aventis
  5. Bristol-Myers Squibb
  6. Gilead Sciences
  7. GlaxoSmithKline
  8. Merck
  9. Pfizer
  10. Boehringer-Ingelheim
  11. Theratechnologies
  12. Tibotec

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Background: Although half of HIV-infected patients develop lipodystrophy and metabolic complications, there exists no simple clinical screening tool to discern the high from the low-risk HIV-infected patient. Thus, we evaluated the associations between waist circumference (WC) combined with triglyceride (TG) levels and the severity of lipodystrophy and cardiovascular risk among HIV-infected men and women. Methods: 1481 HIV-infected men and 841 HIV-infected women were recruited between 2005 and 2009 at the metabolic clinic of the University of Modena and Reggio Emilia in Italy. Within each gender, patients were categorized into 4 groups according to WC and TG levels. Total and regional fat and fat-free mass were assessed by duel-energy x-ray absorptiometry, and visceral adipose tissue (VAT) and abdominal subcutaneous AT (SAT) were quantified by computed tomography. Various cardiovascular risk factors were assessed in clinic after an overnight fast. Results: The high TG/high WC men had the most VAT (208.0 +/- 94.4 cm(2)), as well as the highest prevalence of metabolic syndrome (42.2%) and type-2 diabetes (16.2%), and the highest Framingham risk score (10.3 +/- 6.5) in comparison to other groups (p<0.05 for all). High TG/high WC women also had elevated VAT (150.0 +/- 97.9 cm(2)) and a higher prevalence of metabolic syndrome (53.3%), hypertension (30.5%) and type-2 diabetes (12.0%), and Framingham risk score(2.9 +/- 2.8) by comparison to low TG/low WC women (p<0.05 for all). Conclusions: A simple tool combining WC and TG levels can discriminate high-from low-risk HIV-infected patients.

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