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Presence of the Metabolic Syndrome Is Not a Better Predictor of Cardiovascular Disease Than the Sum of Its Components in HIV-lnfected Individuals : Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study

Identifieur interne : 008151 ( Main/Exploration ); précédent : 008150; suivant : 008152

Presence of the Metabolic Syndrome Is Not a Better Predictor of Cardiovascular Disease Than the Sum of Its Components in HIV-lnfected Individuals : Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study

Auteurs : Signe W. Worm [Danemark] ; Caroline A. Sabin [Royaume-Uni] ; Peter Reiss [Pays-Bas] ; Wafaa El-Sadr [États-Unis] ; Antonella D'Arminio Monforte [Italie] ; Christian Pradier [France] ; Rodolphe Thiebaut [France] ; Matthew Law [Australie] ; Martin Rickenbach [Suisse] ; Stephane De Wit [Belgique] ; Jens D. Lundgren [Danemark] ; Nina Frits-M Ller [Danemark]

Source :

RBID : Pascal:09-0155488

Descripteurs français

English descriptors

Abstract

OBJECTIVE - It is much debated whether the metabolic syndrome contributes additional information over and above that provided by the individual components of the syndrome alone. Among HIV-infected individuals, we investigated whether any particular combinations of the components included in the definition of the metabolic syndrome are associated with a higher risk of cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS- We followed 33,347 HIV-infected individuals in a prospective observational study. The effect of combinations of components of the metabolic syndrome (low HDL cholesterol, high triglycerides, high BMI, hypertension, and diabetes) on the risk of CVD was assessed by Poisson regression incorporating interactions between each component pair and adjusting for age, sex, family history of CVD, smoking status, calendar year, and exposure to antiretroviral therapy. We reduced the risk of type 1 errors by randomly splitting the data set for training (70% of sample) and validation (remaining 30%). RESULTS- In the training data set, 671 patients experienced a CVD event over 110,652 person-years. Unadjusted, the presence of metabolic syndrome at study enrollment (≥3 of the factors) was associated with a 2.89 higher risk of CVD (95% CI 2.34-3.59; P = 0.0001) compared with individuals without the metabolic syndrome. After adjustment for the individual components, the metabolic syndrome as an entity no longer predicted the risk of CVD (adjusted relative risk 0.85; 95% CI 0.61-1.17; P = 0.32) No significant positive interactions were found among the components of the metabolic syndrome. CONCLUSIONS - The presence of the metabolic syndrome in HIV-infected individuals did not appear to increase the CVD risk over and above that conferred by the components of the syndrome separately.

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Le document en format XML

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<title xml:lang="en" level="a">Presence of the Metabolic Syndrome Is Not a Better Predictor of Cardiovascular Disease Than the Sum of Its Components in HIV-lnfected Individuals : Data Collection on Adverse events of Anti-HIV Drugs (D:A:D) study</title>
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<name sortKey="D Arminio Monforte, Antonella" sort="D Arminio Monforte, Antonella" uniqKey="D Arminio Monforte A" first="Antonella" last="D'Arminio Monforte">Antonella D'Arminio Monforte</name>
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<name sortKey="Pradier, Christian" sort="Pradier, Christian" uniqKey="Pradier C" first="Christian" last="Pradier">Christian Pradier</name>
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<front>
<div type="abstract" xml:lang="en">OBJECTIVE - It is much debated whether the metabolic syndrome contributes additional information over and above that provided by the individual components of the syndrome alone. Among HIV-infected individuals, we investigated whether any particular combinations of the components included in the definition of the metabolic syndrome are associated with a higher risk of cardiovascular disease (CVD). RESEARCH DESIGN AND METHODS- We followed 33,347 HIV-infected individuals in a prospective observational study. The effect of combinations of components of the metabolic syndrome (low HDL cholesterol, high triglycerides, high BMI, hypertension, and diabetes) on the risk of CVD was assessed by Poisson regression incorporating interactions between each component pair and adjusting for age, sex, family history of CVD, smoking status, calendar year, and exposure to antiretroviral therapy. We reduced the risk of type 1 errors by randomly splitting the data set for training (70% of sample) and validation (remaining 30%). RESULTS- In the training data set, 671 patients experienced a CVD event over 110,652 person-years. Unadjusted, the presence of metabolic syndrome at study enrollment (≥3 of the factors) was associated with a 2.89 higher risk of CVD (95% CI 2.34-3.59; P = 0.0001) compared with individuals without the metabolic syndrome. After adjustment for the individual components, the metabolic syndrome as an entity no longer predicted the risk of CVD (adjusted relative risk 0.85; 95% CI 0.61-1.17; P = 0.32) No significant positive interactions were found among the components of the metabolic syndrome. CONCLUSIONS - The presence of the metabolic syndrome in HIV-infected individuals did not appear to increase the CVD risk over and above that conferred by the components of the syndrome separately.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>Australie</li>
<li>Belgique</li>
<li>Danemark</li>
<li>France</li>
<li>Italie</li>
<li>Pays-Bas</li>
<li>Royaume-Uni</li>
<li>Suisse</li>
<li>États-Unis</li>
</country>
<region>
<li>Angleterre</li>
<li>Aquitaine</li>
<li>Canton de Vaud</li>
<li>Grand Londres</li>
<li>Hollande-Septentrionale</li>
<li>Hovedstaden</li>
<li>Lombardie</li>
<li>Nouvelle-Aquitaine</li>
<li>Nouvelle-Galles du Sud</li>
<li>Provence-Alpes-Côte d'Azur</li>
<li>Région de Bruxelles-Capitale</li>
<li>État de New York</li>
</region>
<settlement>
<li>Amsterdam</li>
<li>Bordeaux</li>
<li>Bruxelles</li>
<li>Copenhague</li>
<li>Lausanne</li>
<li>Londres</li>
<li>Milan</li>
<li>Nice</li>
<li>Sydney</li>
</settlement>
</list>
<tree>
<country name="Danemark">
<region name="Hovedstaden">
<name sortKey="Worm, Signe W" sort="Worm, Signe W" uniqKey="Worm S" first="Signe W." last="Worm">Signe W. Worm</name>
</region>
<name sortKey="Frits M Ller, Nina" sort="Frits M Ller, Nina" uniqKey="Frits M Ller N" first="Nina" last="Frits-M Ller">Nina Frits-M Ller</name>
<name sortKey="Lundgren, Jens D" sort="Lundgren, Jens D" uniqKey="Lundgren J" first="Jens D." last="Lundgren">Jens D. Lundgren</name>
</country>
<country name="Royaume-Uni">
<region name="Angleterre">
<name sortKey="Sabin, Caroline A" sort="Sabin, Caroline A" uniqKey="Sabin C" first="Caroline A." last="Sabin">Caroline A. Sabin</name>
</region>
</country>
<country name="Pays-Bas">
<region name="Hollande-Septentrionale">
<name sortKey="Reiss, Peter" sort="Reiss, Peter" uniqKey="Reiss P" first="Peter" last="Reiss">Peter Reiss</name>
</region>
</country>
<country name="États-Unis">
<region name="État de New York">
<name sortKey="El Sadr, Wafaa" sort="El Sadr, Wafaa" uniqKey="El Sadr W" first="Wafaa" last="El-Sadr">Wafaa El-Sadr</name>
</region>
</country>
<country name="Italie">
<region name="Lombardie">
<name sortKey="D Arminio Monforte, Antonella" sort="D Arminio Monforte, Antonella" uniqKey="D Arminio Monforte A" first="Antonella" last="D'Arminio Monforte">Antonella D'Arminio Monforte</name>
</region>
</country>
<country name="France">
<region name="Provence-Alpes-Côte d'Azur">
<name sortKey="Pradier, Christian" sort="Pradier, Christian" uniqKey="Pradier C" first="Christian" last="Pradier">Christian Pradier</name>
</region>
<name sortKey="Thiebaut, Rodolphe" sort="Thiebaut, Rodolphe" uniqKey="Thiebaut R" first="Rodolphe" last="Thiebaut">Rodolphe Thiebaut</name>
</country>
<country name="Australie">
<region name="Nouvelle-Galles du Sud">
<name sortKey="Law, Matthew" sort="Law, Matthew" uniqKey="Law M" first="Matthew" last="Law">Matthew Law</name>
</region>
</country>
<country name="Suisse">
<region name="Canton de Vaud">
<name sortKey="Rickenbach, Martin" sort="Rickenbach, Martin" uniqKey="Rickenbach M" first="Martin" last="Rickenbach">Martin Rickenbach</name>
</region>
</country>
<country name="Belgique">
<region name="Région de Bruxelles-Capitale">
<name sortKey="De Wit, Stephane" sort="De Wit, Stephane" uniqKey="De Wit S" first="Stephane" last="De Wit">Stephane De Wit</name>
</region>
</country>
</tree>
</affiliations>
</record>

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