@article{415b6c2360a843568afe96970fd8c464,
title = "Comparison of insulin resistance to coronary atherosclerosis in human immunodeficiency virus infected and uninfected men (from the Multicenter AIDS Cohort Study)",
abstract = "The relation between insulin resistance (IR) and coronary artery disease in patients with human immunodeficiency virus (HIV) infection remains incompletely defined. Fasting serum insulin and glucose measurements from 448 HIV-infected and 306 uninfected men enrolled in the Multicenter AIDS Cohort Study were collected at semiannual visits from 2003 to 2013 and used to compute the homeostatic model assessment of IR (HOMA-IR). Coronary computed tomographic angiography (CTA) was performed at the end of the study period to characterize coronary pathology. Associations between HOMA-IR (categorized into tertiles and assessed near the time of the CTA and over the 10-year study period) and the prevalence of coronary plaque or stenosis ≥50% were assessed with multivariate logistic regression. HOMA-IR was higher in HIV-infected men than HIV-uninfected men when measured near the time of CTA (3.2 vs 2.7, p = 0.002) and when averaged over the study period (3.4 vs 3.0, p <0.001). The prevalence of coronary stenosis ≥50% was similar between both groups (17% vs 15%, p = 0.41). Both measurements of HOMA-IR were associated with greater odds of coronary stenosis ≥50% in models comparing men with values in the highest versus the lowest tertiles, although the effect of mean HOMA-IR was stronger than the single measurement of HOMA-IR before CTA (odds ratio 2.46, 95% CI 1.95 to 3.11, vs odds ratio 1.43, 1.20 to 1.70). This effect was not significantly modified by HIV serostatus. In conclusion, IR over nearly a decade was greater in HIV-infected men than HIV-uninfected men, and in both groups, was associated with significant coronary artery stenosis.",
author = "Brener, {Michael I.} and Post, {Wendy S.} and Haberlen, {Sabina A.} and Long Zhang and Palella, {Frank J.} and Jacobson, {Lisa P.} and Dobs, {Adrian S.} and George, {Richard T.} and Witt, {Mallory D.} and Matthew Budoff and Kingsley, {Lawrence A.} and Brown, {Todd T.}",
note = "Funding Information: Funding: Data in this manuscript were collected by the Multicenter AIDS Cohort Study (MACS). MACS Locations (Principal Investigators): Johns Hopkins University Bloomberg School of Public Health (Joseph Margolick), U01-AI35042; Northwestern University (Steven Wolinsky), U01-AI35039; University of California, Los Angeles (Roger Detels), U01-AI35040; University of Pittsburgh (Charles Rinaldo), U01-AI35041; Harbor-UCLA, CTSI UL1TR000124; the Center for Analysis and Management of MACS, Johns Hopkins University Bloomberg School of Public Health (Lisa Jacobson), UM1-AI35043. The MACS is funded primarily by the National Institute of Allergy and Infectious Diseases (NIAID) (Bethesda, MD), with additional cofunding from the National Cancer Institute (NCI) (Rockville, MD), the National Institute on Drug Abuse (NIDA) (Rockville, MD), and the National Institute of Mental Health (NIMH) (Bethesda, MD). Targeted supplemental funding for specific projects was also provided by the National Heart, Lung, and Blood Institute (NHLBI), and the National Institute on Deafness and Communication Disorders (NIDCD). MACS data collection is also supported by grant UL1-TR001079 (JHU ICTR) from the National Center for Advancing Translational Sciences (NCATS), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. The MACS Cardiovascular Substudy is funded by an NIH Grant Number (NHLBI): RO1 HL095129 (Post). Dr. Todd Brown is supported in part by NIAID K24AI120834. The contents of this publication are solely the responsibility of the authors and do not represent the official views of the National Institutes of Health (NIH), Johns Hopkins ICTR, or NCATS. The MACS website is located at http://www.statepi.jhsph.edu/macs/macs.html . Publisher Copyright: {\textcopyright} 2016 Elsevier Inc.",
year = "2016",
month = mar,
day = "15",
doi = "10.1016/j.amjcard.2015.12.037",
language = "English (US)",
volume = "117",
pages = "993--1000",
journal = "American Journal of Cardiology",
issn = "0002-9149",
publisher = "Elsevier Inc.",
number = "6",
}