30
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references20

          • Record: found
          • Abstract: found
          • Article: not found

          Waist circumference and not body mass index explains obesity-related health risk.

          The addition of waist circumference (WC) to body mass index (BMI; in kg/m(2)) predicts a greater variance in health risk than does BMI alone; however, whether the reverse is true is not known. We evaluated whether BMI adds to the predictive power of WC in assessing obesity-related comorbidity. Subjects were 14 924 adult participants in the third National Health and Nutrition Examination Survey, grouped into categories of BMI and WC in accordance with the National Institutes of Health cutoffs. Odds ratios for hypertension, dyslipidemia, and the metabolic syndrome were compared for overweight and class I obese BMI categories and the normal-weight category before and after adjustment for WC. BMI and WC were also included in the same regression model as continuous variables for prediction of the metabolic disorders. With few exceptions, overweight and obese subjects were more likely to have hypertension, dyslipidemia, and the metabolic syndrome than were normal-weight subjects. After adjustment for WC category (normal or high), the odds of comorbidity, although attenuated, remained higher in overweight and obese subjects than in normal-weight subjects. However, after adjustment for WC as a continuous variable, the likelihood of hypertension, dyslipidemia, and the metabolic syndrome was similar in all groups. When WC and BMI were used as continuous variables in the same regression model, WC alone was a significant predictor of comorbidity. WC, and not BMI, explains obesity-related health risk. Thus, for a given WC value, overweight and obese persons and normal-weight persons have comparable health risks. However, when WC is dichotomized as normal or high, BMI remains a significant predictor of health risk.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Cardiovascular risk and body-fat abnormalities in HIV-infected adults.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Hypertriglyceridemic waist: A marker of the atherogenic metabolic triad (hyperinsulinemia; hyperapolipoprotein B; small, dense LDL) in men?

              The present study tested the hypothesis that simple variables, such as waist circumference and fasting plasma triglyceride (TG) concentrations, could be used as screening tools for the identification of men characterized by a metabolic triad of nontraditional risk factors (elevated insulin and apolipoprotein [apo] B and small, dense LDL particles). Results of the metabolic study (study 1) conducted on 185 healthy men indicate that a large proportion (>80%) of men with waist circumference values >/=90 cm and with elevated TG levels (>/=2.0 mmol/L) were characterized by the atherogenic metabolic triad. Validation of the model in an angiographic study (study 2) on a sample of 287 men with and without coronary artery disease (CAD) revealed that only men with both elevated waist and TG levels were at increased risk of CAD (odds ratio of 3.6, P<0.03) compared with men with low waist and TG levels. It is suggested that the simultaneous measurement and interpretation of waist circumference and fasting TG could be used as inexpensive screening tools to identify men characterized by the atherogenic metabolic triad (hyperinsulinemia, elevated apo B, small, dense LDL) and at high risk for CAD.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                22 September 2011
                : 6
                : 9
                : e25032
                Affiliations
                [1 ]School of Kinesiology and Health Studies, Queen's University, Kingston, Ontario, Canada
                [2 ]Division of Endocrinology and Metabolism, School of Medicine, Queen's University, Kingston, Ontario, Canada
                [3 ]Québec Heart Institute, Hôpital Laval Research Centre, Quebec City, Quebec, Canada
                [4 ]Metabolic Clinic, Infectious and Tropical Disease Unit, Department of Medicine, University of Modena and Reggio Emilia, Modena, Italy
                University of Cape Town, South Africa
                Author notes

                Conceived and designed the experiments: RR J-PD SZ GG. Performed the experiments: GO FC PB MM SZ GG. Analyzed the data: PMJ SZ. Wrote the paper: PMJ RR J-PD SZ IL GG.

                Article
                PONE-D-11-09698
                10.1371/journal.pone.0025032
                3178598
                21966404
                37e22fa4-a60c-4a1f-89c5-6a024a6f35fb
                Janiszewski et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 27 May 2011
                : 23 August 2011
                Page count
                Pages: 8
                Categories
                Research Article
                Biology
                Anatomy and Physiology
                Cardiovascular System
                Biochemistry
                Metabolism
                Medicine
                Anatomy and Physiology
                Cardiovascular System
                Diagnostic Medicine
                Endocrinology
                Infectious Diseases
                Viral Diseases
                HIV
                Metabolic Disorders
                Obstetrics and Gynecology
                Genitourinary Infections
                HIV

                Uncategorized
                Uncategorized

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content219

                Cited by8

                Most referenced authors1,005