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Is there continued evidence for an association between abacavir usage and myocardial infarction risk in individuals with HIV? A cohort collaboration

Identifieur interne : 001C18 ( Main/Exploration ); précédent : 001C17; suivant : 001C19

Is there continued evidence for an association between abacavir usage and myocardial infarction risk in individuals with HIV? A cohort collaboration

Auteurs : Caroline A. Sabin [Royaume-Uni] ; Peter Reiss [Pays-Bas] ; Lene Ryom [Danemark] ; Andrew N. Phillips [Royaume-Uni] ; Rainer Weber [Suisse] ; Matthew Law [Australie] ; Eric Fontas [France] ; Amanda Mocroft [Royaume-Uni] ; Stephane De Wit [Belgique] ; Colette Smith [Royaume-Uni] ; Francois Dabis [France] ; Antonella D Rminio Monforte [Italie] ; Wafaa El-Sadr [États-Unis] ; Jens D. Lundgren [Danemark]

Source :

RBID : PMC:4815070

Descripteurs français

English descriptors

Abstract

Background

In March 2008, the D:A:D study published results demonstrating an increased risk of myocardial infarction (MI) for patients on abacavir (ABC). We describe changes to the use of ABC since this date, and investigate changes to the association between ABC and MI with subsequent follow-up.

Methods

A total of 49,717 D:A:D participants were followed from study entry until the first of an MI, death, 1 February 2013 or 6 months after last visit. Associations between a person’s 10-year cardiovascular disease (CVD) risk and the likelihood of initiating or discontinuing ABC were assessed using multivariable logistic/Poisson regression. Poisson regression was used to assess the association between current ABC use and MI risk, adjusting for potential confounders, and a test of interaction was performed to assess whether the association had changed in the post-March 2008 period.

Results

Use of ABC increased from 10 % of the cohort in 2000 to 20 % in 2008, before stabilising at 18–19 %. Increases in use pre-March 2008, and subsequent decreases, were greatest in those at moderate and high CVD risk. Post-March 2008, those on ABC at moderate/high CVD risk were more likely to discontinue ABC than those at low/unknown CVD risk, regardless of viral load (≤1,000 copies/ml: relative rate 1.49 [95 % confidence interval 1.34–1.65]; >1,000 copies/ml: 1.23 [1.02–1.48]); no such associations were seen pre-March 2008. There was some evidence that antiretroviral therapy (ART)-naïve persons at moderate/high CVD risk post-March 2008 were less likely to initiate ABC than those at low/unknown CVD risk (odds ratio 0.74 [0.48–1.13]). By 1 February 2013, 941 MI events had occurred in 367,559 person-years. Current ABC use was associated with a 98 % increase in MI rate (RR 1.98 [1.72–2.29]) with no difference in the pre- (1.97 [1.68–2.33]) or post- (1.97 [1.43–2.72]) March 2008 periods (interaction P = 0.74).

Conclusions

Despite a reduction in the channelling of ABC for patients at higher CVD risk since 2008, we continue to observe an association between ABC use and MI risk. Whilst confounding cannot be fully ruled out, this further diminishes channelling bias as an explanation for our findings.


Url:
DOI: 10.1186/s12916-016-0588-4
PubMed: 27036962
PubMed Central: 4815070


Affiliations:


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<title xml:lang="en" level="a" type="main">Is there continued evidence for an association between abacavir usage and myocardial infarction risk in individuals with HIV? A cohort collaboration</title>
<author>
<name sortKey="Sabin, Caroline A" sort="Sabin, Caroline A" uniqKey="Sabin C" first="Caroline A." last="Sabin">Caroline A. Sabin</name>
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<nlm:aff id="Aff1">Research Department of Infection and Population Health, University College London (UCL), Royal Free Campus, London, UK</nlm:aff>
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<name sortKey="Law, Matthew" sort="Law, Matthew" uniqKey="Law M" first="Matthew" last="Law">Matthew Law</name>
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<name sortKey="Fontas, Eric" sort="Fontas, Eric" uniqKey="Fontas E" first="Eric" last="Fontas">Eric Fontas</name>
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<name sortKey="Mocroft, Amanda" sort="Mocroft, Amanda" uniqKey="Mocroft A" first="Amanda" last="Mocroft">Amanda Mocroft</name>
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<name sortKey="De Wit, Stephane" sort="De Wit, Stephane" uniqKey="De Wit S" first="Stephane" last="De Wit">Stephane De Wit</name>
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<name sortKey="Smith, Colette" sort="Smith, Colette" uniqKey="Smith C" first="Colette" last="Smith">Colette Smith</name>
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<name sortKey="Dabis, Francois" sort="Dabis, Francois" uniqKey="Dabis F" first="Francois" last="Dabis">Francois Dabis</name>
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<nlm:aff id="Aff8">Université Bordeaux Segalen, INSERM U897, Epidemiologie-Biostatistique, CHU de Bordeaux, Bordeaux, France</nlm:aff>
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</placeName>
<orgName type="university">Université Bordeaux II</orgName>
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<name sortKey="D Rminio Monforte, Antonella" sort="D Rminio Monforte, Antonella" uniqKey="D Rminio Monforte A" first="Antonella" last="D Rminio Monforte">Antonella D Rminio Monforte</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff9">Dipartimento di Scienze della Salute, Clinica di Malattie Infectitive e Tropicali, Azienda Ospedaliera-Polo Universitario San Paolo, Milan, Italy</nlm:aff>
<country xml:lang="fr">Italie</country>
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<settlement type="city">Milan</settlement>
<region nuts="2">Lombardie</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="El Sadr, Wafaa" sort="El Sadr, Wafaa" uniqKey="El Sadr W" first="Wafaa" last="El-Sadr">Wafaa El-Sadr</name>
<affiliation wicri:level="2">
<nlm:aff id="Aff10">ICAP-Columbia University and Harlem Hospital, New York, NY USA</nlm:aff>
<country>États-Unis</country>
<placeName>
<region type="state">État de New York</region>
</placeName>
<wicri:cityArea>ICAP-Columbia University and Harlem Hospital, New York</wicri:cityArea>
</affiliation>
</author>
<author>
<name sortKey="Lundgren, Jens D" sort="Lundgren, Jens D" uniqKey="Lundgren J" first="Jens D." last="Lundgren">Jens D. Lundgren</name>
<affiliation wicri:level="3">
<nlm:aff id="Aff3">Denmark Centre for Health and Infectious Disease Research (CHIP), Department of Infectious Diseases, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark</nlm:aff>
<country xml:lang="fr">Danemark</country>
<wicri:regionArea>Denmark Centre for Health and Infectious Disease Research (CHIP), Department of Infectious Diseases, Section 2100, Rigshospitalet, University of Copenhagen, Copenhagen</wicri:regionArea>
<placeName>
<settlement type="city">Copenhague</settlement>
<region type="région" nuts="2">Hovedstaden</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Medicine</title>
<idno type="eISSN">1741-7015</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
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<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adult</term>
<term>Anti-HIV Agents (therapeutic use)</term>
<term>Australia</term>
<term>Dideoxynucleosides (therapeutic use)</term>
<term>Europe</term>
<term>Female</term>
<term>HIV Infections (drug therapy)</term>
<term>HIV Infections (epidemiology)</term>
<term>Humans</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Medication Therapy Management (statistics & numerical data)</term>
<term>Medication Therapy Management (trends)</term>
<term>Middle Aged</term>
<term>Myocardial Infarction (epidemiology)</term>
<term>Odds Ratio</term>
<term>Pharmacovigilance</term>
<term>Practice Patterns, Physicians' (trends)</term>
<term>Risk Assessment (methods)</term>
<term>Risk Factors</term>
<term>United States</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr">
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Agents antiVIH (usage thérapeutique)</term>
<term>Australie</term>
<term>Didéoxynucléosides (usage thérapeutique)</term>
<term>Europe</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Gestion de la pharmacothérapie ()</term>
<term>Gestion de la pharmacothérapie (tendances)</term>
<term>Humains</term>
<term>Infarctus du myocarde (épidémiologie)</term>
<term>Infections à VIH (traitement médicamenteux)</term>
<term>Infections à VIH (épidémiologie)</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Odds ratio</term>
<term>Pharmacovigilance</term>
<term>Types de pratiques des médecins (tendances)</term>
<term>États-Unis d'Amérique</term>
<term>Évaluation des risques ()</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en">
<term>Anti-HIV Agents</term>
<term>Dideoxynucleosides</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en">
<term>HIV Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>HIV Infections</term>
<term>Myocardial Infarction</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Risk Assessment</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Medication Therapy Management</term>
</keywords>
<keywords scheme="MESH" qualifier="tendances" xml:lang="fr">
<term>Gestion de la pharmacothérapie</term>
<term>Types de pratiques des médecins</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr">
<term>Infections à VIH</term>
</keywords>
<keywords scheme="MESH" qualifier="trends" xml:lang="en">
<term>Medication Therapy Management</term>
<term>Practice Patterns, Physicians'</term>
</keywords>
<keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr">
<term>Agents antiVIH</term>
<term>Didéoxynucléosides</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr">
<term>Infarctus du myocarde</term>
<term>Infections à VIH</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adult</term>
<term>Australia</term>
<term>Europe</term>
<term>Female</term>
<term>Humans</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Odds Ratio</term>
<term>Pharmacovigilance</term>
<term>Risk Factors</term>
<term>United States</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Australie</term>
<term>Europe</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Gestion de la pharmacothérapie</term>
<term>Humains</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Odds ratio</term>
<term>Pharmacovigilance</term>
<term>États-Unis d'Amérique</term>
<term>Évaluation des risques</term>
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<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>In March 2008, the D:A:D study published results demonstrating an increased risk of myocardial infarction (MI) for patients on abacavir (ABC). We describe changes to the use of ABC since this date, and investigate changes to the association between ABC and MI with subsequent follow-up.</p>
</sec>
<sec>
<title>Methods</title>
<p>A total of 49,717 D:A:D participants were followed from study entry until the first of an MI, death, 1 February 2013 or 6 months after last visit. Associations between a person’s 10-year cardiovascular disease (CVD) risk and the likelihood of initiating or discontinuing ABC were assessed using multivariable logistic/Poisson regression. Poisson regression was used to assess the association between current ABC use and MI risk, adjusting for potential confounders, and a test of interaction was performed to assess whether the association had changed in the post-March 2008 period.</p>
</sec>
<sec>
<title>Results</title>
<p>Use of ABC increased from 10 % of the cohort in 2000 to 20 % in 2008, before stabilising at 18–19 %. Increases in use pre-March 2008, and subsequent decreases, were greatest in those at moderate and high CVD risk. Post-March 2008, those on ABC at moderate/high CVD risk were more likely to discontinue ABC than those at low/unknown CVD risk, regardless of viral load (≤1,000 copies/ml: relative rate 1.49 [95 % confidence interval 1.34–1.65]; >1,000 copies/ml: 1.23 [1.02–1.48]); no such associations were seen pre-March 2008. There was some evidence that antiretroviral therapy (ART)-naïve persons at moderate/high CVD risk post-March 2008 were less likely to initiate ABC than those at low/unknown CVD risk (odds ratio 0.74 [0.48–1.13]). By 1 February 2013, 941 MI events had occurred in 367,559 person-years. Current ABC use was associated with a 98 % increase in MI rate (RR 1.98 [1.72–2.29]) with no difference in the pre- (1.97 [1.68–2.33]) or post- (1.97 [1.43–2.72]) March 2008 periods (interaction
<italic>P =</italic>
 0.74).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Despite a reduction in the channelling of ABC for patients at higher CVD risk since 2008, we continue to observe an association between ABC use and MI risk. Whilst confounding cannot be fully ruled out, this further diminishes channelling bias as an explanation for our findings.</p>
</sec>
</div>
</front>
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<name sortKey="D Rminio Monforte, Antonella" sort="D Rminio Monforte, Antonella" uniqKey="D Rminio Monforte A" first="Antonella" last="D Rminio Monforte">Antonella D Rminio Monforte</name>
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<name sortKey="El Sadr, Wafaa" sort="El Sadr, Wafaa" uniqKey="El Sadr W" first="Wafaa" last="El-Sadr">Wafaa El-Sadr</name>
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