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      Plasma Efavirenz Concentrations Are Associated With Lipid and Glucose Concentrations

      research-article
      , MBChB, MMed Clin Pharm, , MBChB, PhD, , MBChB, FCP(SA), PhD, , PhD, , MBChB, MD, FCP(SA), , MD, , MBChB, FCP (SA)
      Medicine
      Wolters Kluwer Health

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          Abstract

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          Abstract

          Efavirenz-based antiretroviral therapy (ART) has been associated with dyslipidemia and dysglycemia, risk factors for cardiovascular disease. However, the pathogenesis is not well understood. We characterized relationships between plasma efavirenz concentrations and lipid and glucose concentrations in HIV-infected South Africans.

          Participants on efavirenz-based ART were enrolled into a cross-sectional study. The oral glucose tolerance test was performed after an overnight fast, and plasma drawn for mid-dosing interval efavirenz, fasting total cholesterol, low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, and triglycerides concentrations.

          Among 106 participants (77 women), median age was 38 years, median CD4 + T-cell count was 322 cells/μL, median duration on ART was 18 months, and median (interquartile range) efavirenz concentration was 2.23 (1.66 to 4.10) μg/mL. On multivariable analyses (adjusting for age, sex, body mass index, and ART duration) doubling of efavirenz concentrations resulted in mean changes in mmol/L (95%CI) of: total cholesterol (0.40 [0.22 to 0.59]), LDL cholesterol (0.19 [0.04 to 0.30]), HDL cholesterol (0.14 [0.07 to 0.20]), triglycerides (0.17 [0.03 to 0.33]), fasting glucose (0.18 [0.03 to 0.33]), and 2-h glucose concentrations (0.33 [0.08 to 0.60]). Among 57 participants with CYP2B6 genotype data, associations between slow metabolizer genotypes and metabolic profiles were generally consistent with those for measured efavirenz concentrations.

          Higher plasma efavirenz concentrations are associated with higher plasma lipid and glucose concentrations. This may have implications for long-term cardiovascular complications of efavirenz-based ART, particularly among populations with high prevalence of CYP2B6 slow metabolizer genotypes.

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          Most cited references23

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          Diagnosis, prediction, and natural course of HIV-1 protease-inhibitor-associated lipodystrophy, hyperlipidaemia, and diabetes mellitus: a cohort study.

          The prevalence and severity of lipodystrophy syndrome with long-term therapy for HIV-1 infection that includes a protease inhibitor is unknown. We studied the natural course of the syndrome to develop diagnostic criteria and identifying markers that predict its severity. We assessed 113 patients who were receiving HIV-1 protease inhibitors (mean 21 months) and 45 HIV-1-infected patients (28 with follow-up) never treated with a protease inhibitor. Lipodystrophy was assessed by questionnaire (including patients' rating of severity), physical examination, and dual-energy x-ray absorptiometry. Body composition and fasting lipid and glycaemic variables were compared with data obtained 8 months previously. Oral glucose tolerance was investigated. There was 98% concordance between patients' reports of the presence or absence of lipodystrophy (reported by 83% of protease-inhibitor recipients and 4% of treatment-naïve patients; p=0.0001) and physical examination. Patients' ratings of lipodystrophy were significantly associated with declining total body fat (p=0.02). Lower body fat was independently associated with longer duration of protease-inhibitor therapy and lower bodyweight before therapy, and more severe lipodystrophy was associated with higher previous (p < 0.03) and current (p < or = 0.01) triglyceride and C-peptide concentrations, and less peripheral and greater central fat (p=0.005 and 0.09, respectively). Body fat declined a mean 1.2 kg over 8 months in protease-inhibitor recipients (p=0.05). The prevalence of hyperlipidaemia remained stable over time (74% of treated patients vs 28% of naïve patients; p=0.0001). Impaired glucose tolerance occurred in 16% of protease-inhibitor recipients and diabetes mellitus in 7%; in all but three patients these abnormalities were detected on 2 h post-glucose load values. Diagnosis and rating severity of lipodystrophy is aided by the combination of physical examination, patient's rating, and measurement of body fat, fasting triglycerides, and C-peptide. Weight before therapy, fasting triglyceride, and C-peptide concentrations early in therapy, and therapy duration seem to predict lipodystrophy severity. Lipodystrophy was common and progressive after almost 2 years of protease inhibitor therapy, but was not usually severe. Hyperlipidaemia and impaired glucose tolerance were also common.
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            Cardiovascular disease risk factors in HIV patients--association with antiretroviral therapy. Results from the DAD study.

            To determine the prevalence of risk factors for cardiovascular disease (CVD) among HIV-infected persons, and to investigate any association between such risk factors, stage of HIV disease, and use of antiretroviral therapies. Baseline data from 17,852 subjects enrolled in DAD, a prospective multinational cohort study initiated in 1999. Cross-sectional analyses of CVD risk factors at baseline. The data collected includes data on demographic variables, cigarette smoking, diabetes mellitus, hypertension, dyslipidaemia, body mass index, stage of HIV infection, antiretroviral therapy. Almost 25% of the study population were at an age where there is an appreciable risk of CVD, with those receiving a protease inhibitor (PI) and/or non-nucleoside reverse transcriptase inhibitor (NNRTI) tending to be older. 1.4% had a previous history of CVD and 51.5% were cigarette smokers. Increased prevalence of elevated total cholesterol (> or = 6.2 mmol/l) was observed among subjects receiving an NNRTI but no PI [odds ratio (OR), 1.79; 95% confidence interval (CI), 1.45-2.22], PI but no NNRTI (OR, 2.35; 95% CI, 1.92-2.87), or NNRTI + PI (OR, 5.48; 95% CI, 4.34-6.91) compared to the prevalence among antiretroviral therapy (ART)-naive subjects. Subjects who have discontinued ART as well as subjects receiving nucleoside reverse transcriptase inhibitors had similar cholesterol levels to treatment-naive subjects. Higher CD4 cell count, lower plasma HIV RNA levels, clinical signs of lipodystrophy, longer exposure times to NNRTI and PI, and older age were all also associated with elevated total cholesterol level. HIV-infected persons exhibit multiple known risk factors for CVD. Of specific concern is the fact that use of the NNRTI and PI drug classes (alone and especially in combination), particularly among older subjects with normalized CD4 cell counts and suppressed HIV replication, was associated with a lipid profile known to increase the risk of coronary heart disease.
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              Predicting the risk of cardiovascular disease in HIV-infected patients: the data collection on adverse effects of anti-HIV drugs study.

              HIV-infected patients receiving combination antiretroviral therapy may experience metabolic complications, potentially increasing their risk of cardiovascular diseases (CVDs). Furthermore, exposures to some antiretroviral drugs seem to be independently associated with increased CVD risk. We aimed to develop cardiovascular risk-assessment models tailored to HIV-infected patients. Prospective multinational cohort study. The data set included 22,625 HIV-infected patients from 20 countries in Europe and Australia who were free of CVD at entry into the Data collection on Adverse Effects of Anti-HIV Drugs Study. Using cross-validation methods, separate models were developed to predict the risk of myocardial infarction, coronary heart disease, and a composite CVD endpoint. Model performance was compared with the Framingham score. The models included age, sex, systolic blood pressure, smoking status, family history of CVD, diabetes, total cholesterol, HDL cholesterol and indinavir, lopinavir/r and abacavir exposure. The models performed well with area under the receiver operator curve statistics of 0.783 (range 0.642-0.820) for myocardial infarction, 0.776 (0.670-0.818) for coronary heart disease and 0.769 (0.695-0.824) for CVD. The models estimated more accurately the outcomes in the subgroups than the Framingham score. Risk equations developed from a population of HIV-infected patients, incorporating routinely collected cardiovascular risk parameters and exposure to individual antiretroviral therapy drugs, might be more useful in estimating CVD risks in HIV-infected persons than conventional risk prediction models.
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                Author and article information

                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MEDI
                Medicine
                Wolters Kluwer Health
                0025-7974
                1536-5964
                January 2016
                15 January 2016
                : 95
                : 2
                : e2385
                Affiliations
                From the Division of Clinical Pharmacology, Department of Medicine, University of Cape Town (PZS, HMM, PJS, GM); Division of Endocrinology and Diabetic Medicine, Department of Medicine, University of Cape Town. Cape Town, South Africa (JAD, NSL); Vanderbilt University School of Medicine, Departments of Medicine, Pharmacology, Pathology, Microbiology & Immunology (DWH); Meharry Medical College, Department of Internal Medicine, Nashville, TN, United States of America (DWH).
                Author notes
                Correspondence: Phumla Sinxadi, K45–74 Old Main Building, Groote Schuur Hospital, Observatory, Cape Town, 7925, South Africa (e-mail: phumla.sinxadi@ 123456uct.ac.za)
                Article
                02385
                10.1097/MD.0000000000002385
                4718242
                26765416
                8794ac79-c706-4d30-a31b-8a0a0df29f80
                Copyright © 2016 Wolters Kluwer Health, Inc. All rights reserved.

                This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0

                History
                : 29 September 2015
                : 19 November 2015
                : 4 December 2015
                Categories
                4850
                Research Article
                Observational Study
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