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      Adjudicated Morbidity and Mortality Outcomes by Age among Individuals with HIV Infection on Suppressive Antiretroviral Therapy

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          Abstract

          Background

          Non-AIDS conditions such as cardiovascular disease and non-AIDS defining cancers dominate causes of morbidity and mortality among persons with HIV on suppressive combination antiretroviral therapy. Accurate estimates of disease incidence and of risk factors for these conditions are important in planning preventative efforts.

          Methods

          With use of medical records, serious non-AIDS events, AIDS events, and causes of death were adjudicated using pre-specified criteria by an Endpoint Review Committee in two large international trials. Rates of serious non-AIDS which include cardiovascular disease, end-stage renal disease, decompensated liver disease, and non-AIDS cancer, and other serious (grade 4) adverse events were determined, overall and by age, over a median follow-up of 4.3 years for 3,570 participants with CD4 + cell count ≥300 cells/mm 3 who were taking antiretroviral therapy and had an HIV RNA level ≤500 copies/mL. Cox models were used to examine the effect of age and other baseline factors on risk of a composite outcome of all-cause mortality, AIDS, or serious non-AIDS.

          Results

          Five-year Kaplan-Meier estimates of the composite outcome, overall and by age were 8.3% (overall), 3.6% (<40), 8.7% (40–49) and 16.1% (≥50), respectively (p<0.001). In addition to age, smoking and higher levels of interleukin-6 and D-dimer were significant predictors of the composite outcome. The composite outcome was dominated by serious non-AIDS events (overall 65% of 277 participants with a composite event). Most serious non-AIDS events were due to cardiovascular disease and non-AIDS cancers.

          Conclusions

          To date, few large studies have carefully collected data on serious non-AIDS outcomes. Thus, reliable estimates of event rates are scarce. Data cited here, from a geographically diverse cohort, will be useful for planning studies of interventions aimed at reducing rates of serious non-AIDS events among people with HIV.

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          Most cited references13

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          Inflammation, Coagulation and Cardiovascular Disease in HIV-Infected Individuals

          Background The SMART study was a trial of intermittent use of antiretroviral therapy (ART) (drug conservation [DC]) versus continuous use of ART (viral suppression [VS]) as a strategy to reduce toxicities, including cardiovascular disease (CVD) risk. We studied the predictive value of high sensitivity C-reactive protein (hsCRP), interleukin-6 (IL-6) and D-dimer with CVD morbidity and mortality in HIV-infected patients who were enrolled in SMART beyond other measured CVD risk factors. Methods A blood sample was available in 5098 participants who were enrolled in the SMART study for the measurement of IL-6, hsCRP and D-dimer. Hazard ratios (HR) with 95% CI for CVD events were estimated for each quartile (Q) for each biomarker vs the 1st quartile and for 1 SD higher levels. For both treatment groups combined, unadjusted and adjusted HRs were determined using Cox regression models. Results There were 252 participants who had a CVD event over a median follow-up of 29 months. Adjusted HRs (95% CI) for CVD for Q4 vs Q1 were 4.65 (2.61, 8.29), 2.10 (1.40, 3.16), and 2.14 (1.38, 3.33) for IL-6, hsCRP and D-dimer, respectively. Associations were similar for the DC and VS treatment groups (interaction p-values were >0.30). The addition of the three biomarkers to a model that included baseline covariates significantly improved model fit (p<0.001). Area under the curve (AUC) estimates improved with inclusion of the three biomarkers in a model that included baseline covariates corresponding to other CVD risk factors and HIV factors (0.741 to 0.771; p<0.001 for difference). Conclusions In HIV-infected individuals, IL-6, hsCRP and D-dimer are associated with an increased risk of CVD independent of other CVD risk factors. Further research is needed to determine whether these biomarkers can be used to improve CVD risk prediction among HIV positive individuals.
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            Ischemic heart disease in HIV-infected and HIV-uninfected individuals: a population-based cohort study.

            There are concerns about highly active antiretroviral therapy (HAART) causing a progressive increase in the risk of ischemic heart disease. We examined this issue in a nationwide cohort study of patients with human immunodeficiency virus (HIV) infection and a population-based control group. We determined the rate of first hospitalization for ischemic heart disease in all Danish patients with HIV infection (3953 patients) from 1 January 1995 through 31 December 2004 and compared this rate with that for 373,856 subjects in a population-based control group. Data on first hospitalization for ischemic heart disease and comorbidity were obtained from the Danish National Hospital Registry for all study participants. We used Cox's regression to compute the hospitalization rate ratio as an estimate of relative risk, adjusting for comorbidity. Although the difference was not statistically significant, patients with HIV infection who had not initiated HAART were slightly more likely to be hospitalized for the first time with ischemic heart disease than were control subjects (adjusted relative risk, 1.39; 95% confidence interval, 0.81-2.33). After HAART initiation, the risk increase became substantially higher (adjusted relative risk, 2.12; 95% confidence interval, 1.62-2.76), but the relative risk did not further increase in the initial 8 years of HAART. Compared with the general population, HIV-infected patients receiving HAART have an increased risk of ischemic heart disease, but the relative risk is stable up to 8 years after treatment initiation.
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              Predicting risk of cancer during HIV infection : the role of inflammatory and coagulation biomarkers

              To investigate the relationship between inflammatory [interleukin-6 (IL-6) and C-reactive protein (CRP)] and coagulation (D-dimer) biomarkers and cancer risk during HIV infection. A prospective cohort. HIV-infected patients on continuous antiretroviral therapy (ART) in the control arms of three randomized trials (N=5023) were included in an analysis of predictors of cancer (any type, infection-related or infection-unrelated). Hazard ratios for IL-6, CRP and D-dimer levels (log2-transformed) were calculated using Cox models stratified by trial and adjusted for demographics and CD4+ cell counts and adjusted also for all biomarkers simultaneously. To assess the possibility that biomarker levels were elevated at entry due to undiagnosed cancer, analyses were repeated excluding early cancer events (i.e. diagnosed during first 2 years of follow-up). During approximately 24,000 person-years of follow-up (PYFU), 172 patients developed cancer (70 infection-related; 102 infection-unrelated). The risk of developing cancer was associated with higher levels (per doubling) of IL-6 (hazard ratio 1.38, P<0.001), CRP (hazard ratio 1.16, P=0.001) and D-dimer (hazard ratio 1.17, P=0.03). However, only IL-6 (hazard ratio 1.29, P=0.003) remained associated with cancer risk when all biomarkers were considered simultaneously. Results for infection-related and infection-unrelated cancers were similar to results for any cancer. Hazard ratios excluding 69 early cancer events were 1.31 (P=0.007), 1.14 (P=0.02) and 1.07 (P=0.49) for IL-6, CRP and D-dimer, respectively. Activated inflammation and coagulation pathways are associated with increased cancer risk during HIV infection. This association was stronger for IL-6 and persisted after excluding early cancer. Trials of interventions may be warranted to assess whether cancer risk can be reduced by lowering IL-6 levels in HIV-positive individuals.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                11 April 2014
                : 9
                : 4
                : e95061
                Affiliations
                [1 ]Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota, United States of America
                [2 ]Division of Infectious Diseases, University of Minnesota, Minneapolis, Minnesota, United States of America
                [3 ]Hennepin County Medical Center, Minneapolis, Minnesota, United States of America
                [4 ]Division of Infectious Diseases, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America
                [5 ]Veterans Affairs Connecticut Healthcare System, West Haven, Connecticut, United States of America
                [6 ]School of Medicine and Public Health, Yale University, New Haven, Connecticut, United States of America
                [7 ]irsiCaixa Foundation, Hospital Universitari Germans Trias i Pujol, Universitat Autónoma de Barcelona, Badalona, Spain
                [8 ]Lluita contra la SIDA Foundation, Badalona, Spain
                [9 ]The Kirby Institute, University of New South Wales, Sydney, Australia
                [10 ]Department of Medicine, Imperial College, London, England
                Rush University, United States of America
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: CJM JVB AMB KME KHH ACJ JN RP KP DW AW JW JDN. Performed the experiments: JDN. Analyzed the data: CJM JN DW JDN. Contributed reagents/materials/analysis tools: JDN. Wrote the paper: CJM JVB AMB KME KHH ACJ JN RP KP DW AW JW JDN.

                Article
                PONE-D-13-53126
                10.1371/journal.pone.0095061
                3984283
                24728071
                6160bd99-5c71-4ac8-8195-5ea7e029ab0a
                Copyright @ 2014

                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
                : 18 December 2013
                : 23 March 2014
                Page count
                Pages: 11
                Funding
                CJM was supported by the National Institute of Allergy and Infectious Diseases (NIAID) [grant number AI007432-15]. The SMART and ESPRIT studies were funded by NIAID [grant numbers U01AI042170 and U01AI46362 (SMART); U01AI46957 and U01AI068641 (ESPRIT)]. Funding source staff members participated in non-binding manuscript review as members of the International Network for Strategic Initiatives in Global HIV Trials (INSIGHT), but were not part of the writing group. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and health sciences
                Cardiology
                Clinical medicine
                Clinical trials
                Phase III clinical investigation
                Epidemiology
                Cancer Epidemiology
                Cardiovascular Disease Epidemiology
                Clinical Epidemiology
                Epidemiology of Aging
                Gastroenterology and Hepatology
                Liver Diseases
                Acute Liver Failure
                Anal and Rectal Disorders
                Gastrointestinal Cancers
                Infectious Diseases
                Viral Diseases
                AIDS
                Infectious Disease Control
                Sexually Transmitted Diseases
                Oncology
                Cancer Risk Factors
                Aging and Cancer
                Cancers and neoplasms
                AIDS-related cancers
                Lung and intrathoracic tumors
                Vascular Medicine
                Coronary Artery Disease
                Stroke
                Physical Sciences
                Mathematics
                Statistics (Mathematics)
                Statistical Methods
                Research and Analysis Methods
                Research Design
                Clinical Research Design

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