- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Annual Issues
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Reviewers Acknowledgment
- Submit a Manuscript
- Subscription Information
- Table of Contents
The Scientific World Journal
Volume 2013 (2013), Article ID 163418, 8 pages
Risk of Coronary Heart Disease among HIV-Infected Patients: A Multicenter Study in Brazil
1Postgraduate Studies Program in Cardiology, School of Medicine, Clinical Research Center, No. 5 Andar, Hospital de Clinicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos 2350, 90035-903 Porto Alegre, RS, Brazil
2Postgraduate Studies Program in Epidemiology, School of Medicine, Universidade Federal do Rio Grande do Sul, 90035-003 Porto Alegre, RS, Brazil
3National Institute for Health Technology Assessment (IATS/CNPq), Hospital de Clinicas de Porto Alegre, 90035-903 Porto Alegre, RS, Brazil
4Department of Clinical Medicine, Universidade de Pernambuco, 50670-901 Recife, PE, Brazil
5Department of Tropical Medicine, Universidade Federal de Pernambuco, 50610-110 Recife, PE, Brazil
6Research Center Aggeu Magalhães, Fundação Oswaldo Cruz, 50.670-420 Recife, PE, Brazil
7Institute of Biological Sciences, Universidade de Pernambuco, 50670-901 Recife, PE, Brazil
8Institute of Tropical Pathology and Public Health, Universidade Federal de Goiás, 74605050 Goiania, GO, Brazil
Received 3 August 2013; Accepted 3 September 2013
Academic Editors: A. Mosavi-Jarrahi, E. A. Okiro, and E. Paci
Copyright © 2013 Sandra C. Fuchs et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Cardiovascular disease has emerged as a crescent problem among HIV-infected population. This study aimed to determine the 10-year risk of coronary heart disease using the Framingham risk score among HIV-infected patients from three regions of Brazil. This is a pooled analysis of three cohort studies, which enrolled 3,829 individuals, 59% were men, 66% had white skin color, and mean age 39.0 ± 9.9 years. Comparisons among regions showed that there were marked differences in demographic, socioeconomic, clinical, and HIV-related characteristics. Prevalence of Framingham score ≥10 was 4.5% in the Southern, 4.2% in the Midwest, and 3.9% in the Northeast of Brazil. The Framingham score ≥10 was similar between regions for males, patients aged ≥60 years, with obesity, central obesity, hypertension, and diabetes mellitus. Women were three times more likely to have coronary heart disease in 10 years than men. Hypertension and diabetes increased more than four times the risk of coronary heart disease, followed by central obesity, obesity, and prehypertension. The use of antiretroviral agents and time since HIV diagnosis were not risk factors for coronary artery disease in 10 years. In conclusion, hypertension and diabetes are the strongest independent predictors of 10-year risk of coronary heart disease among HIV-infected population.
Cardiovascular disease (CVD) has emerged as a growing problem among HIV-infected population. With the advent of highly active antiretroviral therapy (HAART), there was a reduction in AIDS-related mortality, increasing of life expectancy, and the exposure to traditional cardiovascular risk factors [1–3]. On the other hand, the infection itself, as well as HAART, seems to be involved in changing the profile of cardiovascular risk factors [4, 5]. Dyslipidemia and hyperglycemia are adverse effects of HAART, which were associated with metabolic syndrome and are intermediate steps in the development of cardiovascular events [6, 7].
In Brazil, the use of antiretroviral therapy (ART) is available to the public free of charge, as well as blood pressure-lowering agents, and other medications to control risk factors and prevent CVD. However, there are limited data on coronary heart disease (CHD) in the HIV-infected population [8, 9]. Cardiovascular risk can be evaluated by means of equations that combine several risk factors to provide a quantitative estimate of the risk . The Framingham risk equation has been widely used to estimate the risk of development coronary heart disease over a fixed period of time, usually 10 years, in the general population , but the information in the HIV-infected population need to be further addressed .
Since the creation of the original equation , the Framingham risk score has been modified , and some concerns about its use were raised . Although it has been suggested that a specific score needs to be used [15, 16], it is still uncertain the magnitude of CHD burden in the HIV-infected population. Moreover, the diversity of exposure to risk factors and socioeconomic conditions among patients from different clinical settings in Brazil may require the inclusion of different components in the score. Therefore, this study aimed to determine the 10-year risk of coronary heart disease using the Framingham risk score in HIV-infected patients from three regions of Brazil.
This is a cross-sectional with joint database analysis of baseline characteristics of three cohort studies, conducted in the Northeast, Midwest, and Southern Brazil, addressing characteristics associated with the Framingham risk score among HIV-infected individuals. In Recife, capital of the state of Pernambuco (Northeast), HIV-infected patients, aged 17 to 74 years, seen in two of the largest public outpatient centers (Hospital Universitario Oswaldo Cruz, from Universidade de Pernambuco, and Hospital Estadual Correia Picanço, from Health Secretariat of the state) for HIV/AIDS were enrolled. In Goiania, capital of the state of Goias (Midwest), HIV-infected patients, attending an outpatient public referral center for infectious diseases (Hospital das Clinicas da Universidade Federal de Goias), aged 20 to 75 years, with no clinical evidence of active opportunistic diseases at enrollment, were eligible to participate. In Porto Alegre, capital of the state of Rio Grande do Sul (Southern Brazil), HIV-infected patients aged 18 years or older, who have been seen in the outpatient clinic of the Hospital Sanatorio Partenon (SAT), of the Health State Department, were enrolled. In all studies, pregnant women, patients with mental retardation, and under restriction of freedom were excluded. The data collection was conducted in 2007–2009 (Recife), 2009–2011 (Goiania), and 2006–2008 (Porto Alegre). All research projects have been approved by the Institutional Review Board of the institutions, which are accredited by the Office of Human Research Protections, and all participants signed an informed consent.
Patients were interviewed using similar standardized questionnaires, anthropometric and blood pressure measurements, while HIV-related variables were obtained from medical records. Data collection was performed on routine visits, by certified physicians and research assistants, using similar questions pertaining demographic characteristics (age, categorized as <50, 50–59, or ≥60 years; self-reported skin color, categorized as white or nonwhite), socioeconomic level (number of years of formal education completed successfully, further categorized as ≥10 or <10), lifestyle (physical activity, categorized as yes or no; lifetime smoking, and binge drinking), clinical characteristics (self-reported previous morbidity, blood pressure lowering agents, antidiabetic agents, and drugs used in the dyslipidemia treatment), HIV-related characteristics (current or past cocaine or crack cocaine use, categorized as yes or no; reported use of antiretroviral medicine, also confirmed by medical records, and duration of HIV infection since the date of diagnosis, categorized as <8 or 8–29 years), and other risk factors for coronary heart disease (body mass index, waist circumference, diabetes mellitus, and hypertension status). In all studies, smoking was investigated by several questions: current status, number of cigarettes smoked per day, and smoking cessation, which allowed classifying individuals as never, former or current smokers. In two studies (in the Northeast and Southern Brazil), these questions were asked to those who reported having smoked at least 100 cigarettes during lifetime . Alcohol consumption was investigated using a standardized questionnaire , including type, quantity, and frequency of each beverage consumed and binge drinking, defined by a consumption of five or more drinks on a single occasion .
Weight and height were obtained to calculate body mass index (kg/m2), classified as <25, 25–29, or ≥30 kg/m2. Central obesity was determined by waist circumference, which was measured in duplicate and classified as ≥102/88 cm for men and women, respectively. In Porto Alegre, there were four standardized measurements of blood pressure in two visits, using oscillometric monitor OMRON CP-705, and blood pressure was classified based on the average. In Recife and Goiania, there were two and three, respectively, measurements of blood pressure using calibrated aneroid sphygmomanometer (WelchAllyn/Tycos), and the average was used to classify blood pressure on <120/80, 80–89 and 120–139, or ≥140/90 mmHg, or use of antihypertensive medication. Laboratory tests were performed on fasting blood samples, with three months around the date of the interview. Diabetes mellitus was diagnosed based on fasting glucose ≥126 or use of antidiabetic agents.
Framingham scoring was calculated based on age, sex, total cholesterol, HDL cholesterol, LDL cholesterol, smoking status, diabetes mellitus, and blood pressure [11, 20], besides the reported use of using blood pressure, diabetes, or cholesterol lowering agents. Estimates of the Framingham score are more robust for total cholesterol than for LDL-cholesterol , and since LDL is the main treatment target , the lipid profile (total cholesterol, HDL, and LDL cholesterol) was maintained in the score calculation. The total score was calculated based on the original score sheets, which provide risk of CHD compared to people of the same age and sex . The 10-year risk of CHD score was categorized as <10 (low) or ≥10 (intermediate or high risk, due to the expected low number of participants with high scores) to calculate prevalence and independent risk ratios with 95%CI (confidence intervals). This cutoff was based on the recommendations of the Adult Treatment Panel III (ATP III), which identified categories of cardiovascular risk to determine goals for lipid-lowering therapy .
2.1. Statistical Analysis
A conceptual model through a hierarchical procedure was adopted in the data analysis in order to take confounding factors into account. The construction of the hierarchical model was based in two levels, and details are provided elsewhere . Briefly, independent variables were grouped into socioeconomic (education), demographic factors (sex, age, and skin color), lifestyle (smoking, cocaine use, binge drinking, and physical activity), HIV characteristics (ARV use, length of HIV diagnosis) leading to direct determinants (obesity, hypertension, and diabetes mellitus) of cardiovascular disease . Characteristics of the samples are expected to vary by regions, so an additional variable—the study site—was included in the multivariate analysis. At each hierarchical level, one regression equation was fitted including confounding factors which have been associated with Framingham score in the bivariate analysis ( level <0.2) or based on the literature. At the first level, the risk ratios (95% CI) were adjusted for the study site, sex, age, years at school, smoking, cocaine use, binge drinking, antiretroviral therapy, and years of the HIV diagnosis, and, at the second level, there was additional control for waist circumference, hypertension status, and diabetes mellitus. Multivariate analysis was performed using modified Poisson regression (robust variance estimates) , and analysis of prevalence of risk factors by regions was carried out using the chi-squared test, in the Statistical Package for Social Sciences (SPSS Inc., version 18, Chicago, IL, USA).
Statistical power was calculated to assess the size of odds ratios that could be detected in this joint analysis using the Epidata statistical software (version 3.1, Pan-American Health Organization, Washington D.C., USA). The association between Framingham risk score ≥10 among participants with prehypertension versus normal blood pressure, for instance, with a 1.27 ratio of unexposed to exposed, significance level of 0.05 (two tailed), and 80% of statistical power would require a sample size of 1284 unexposed and 1011 prehypertensive participants to detect a risk ratio of 2.5.
Table 1 shows the characteristics of 3,829 men (59.1%) and women (40.9%) evaluated in this pooled analysis of patients infected with HIV. Most were white (66%) had, on average, 39.0 ± 9.9 years, ranging from 18 to 84 years, but only 1.8% were older than 60 years and 40% finished 10 years or more in school. Comparisons among regions showed that there were marked differences in demographic, socioeconomic, clinical, and HIV-related characteristics. Compared with smoking prevalence detected in Southern Brazil, in the Midwest was about twice and in the Northeast three times more prevalent. In the Midwest, the prevalence of central obesity was about half of the prevalence identified in the Northeast and Southern Brazil.
The prevalence of Framingham score ≥10 was 4.5% in the Southern, 4.2% in the Midwest, and 3.9% in the Northeast of Brazil. The prevalence of intermediate or high Framingham score was similar between regions for males, patients aged ≥60 years, with obesity, central obesity, hypertension, and diabetes mellitus (Table 2). The association between alcohol abuse and intermediate or high Framingham score was detected only in the Northeast, while cocaine use was not associated with risk of CHD in Midwestern.
Results of the multivariate analysis showed that age over 50 years was an independent risk factor for coronary heart disease in 10 years (Table 3). Women were three times more likely to have coronary heart disease than men, regardless of age, socioeconomic status, lifestyle, and characteristics related to HIV. Age was the strongest predictor of CHD, even after the control for confounding factors. Binge drinking reduced CHD prevalence, independently of confounding factors, but there was a borderline significance. Hypertension and diabetes mellitus increased more than four times the risk of coronary heart disease, compared with the absence of these conditions, even after adjustment for confounding factors. Hypertension and diabetes were the strongest predictors of intermediate or high CHD risk, followed by central obesity, obesity, and prehypertension. The use of antiretroviral agents and time since HIV diagnosis were not independent risk factors for coronary artery disease in 10 years. Since most of risk factors are established at the age of 60 years, a subanalysis was carried out among participants younger than 50 years. Most of the associations between risk factors and intermediate or high Framingham score were also detected for those less than 50 years old, but some of the associations had even greater risk estimates, such as BMI, hypertension, and diabetes (data not shown). Independent of other confounding factors, an annual increase of age elevated by 30% a 10-year risk of an intermediate or high score (RR = 1.3, 95% CI: 1.2–1.4).
The main objective of this study was to evaluate the association of risk factors and coronary heart disease in 10 years among HIV-infected patients from three regions of Brazil. Traditional risk factors such as age, hypertension, and diabetes mellitus were confirmed as independent risk factors, while HIV-related characteristics were not independently associated. Prehypertension was also independently associated with risk of CHD, which has been described in subjects not infected with HIV. Furthermore, the prevalence of risk factors by regions showed marked differences, suggesting that HIV-infected individuals living in several parts of Brazil did not share many characteristics besides infection.
These findings were not surprising, since age is a strong predictor of CHD risk and one of the main drivers of the Framingham score , while hypertension is prevalent and has accounted for almost half of ischemic heart disease cases worldwide . Diabetes mellitus has been pointed out as an important risk factor for CHD  in HIV-infected individuals, but the risk detected in this pooled analysis was higher than previously described . Among HIV-positive residents near Kampala, Uganda, in Africa, it was found that more than a quarter had hypertension, similar to the overall prevalence detected in this study, but it was assumed that no participant was smoker. Even so, there was an excessively high prevalence of Framingham score above 10% among men (42% versus 3.7% of women) . In another study, conducted in Germany, about half of HIV-infected participants were smokers and a fifth had high blood pressure. However, approximately 22% and 18% of patients, respectively, were categorized as being at moderate or high 10-year risk for CHD . Results of theoretical models [1, 30] and based on clinical data suggest an increased risk of myocardial infarction, due to the use of antiretroviral treatment. However, these results were found to be specific antiretroviral agents such as indinavir, lopinavir, ritonavir, didanosine, and abacavir [30–32]. In Brazil, most of these agents has been withdrawn or has not been employed in the public health system, and two non-NRTI agents, out of seven, were associated with risk of myocardial infarction.
In this study, prevalence of high 10-year CHD risk (>10%) was very low, as previously reported in Brazil [12, 33]. Among potential explanations, one is that the HIV-infected population was under 60 years old and had low prevalence of cardiovascular risk factors. Furthermore, the Framingham risk score may not be the best tool for assessing cardiovascular risk . Furthermore, it was developed in a subsample of the American population—middle-aged, mostly Caucasians—free of CHD at baseline, whereas the HIV-infected population has a diverse ethnicity and is, on average, younger . It also has been pointed out that the 10-year risk model may underestimate the lifetime risk . However, Framingham risk score has been largely validated against risk detected in the individual data of cohort studies , and its simplicity matches the aims of prevention .
Besides that, other limitations should be taken into account when interpreting the results. The use of the Framingham score may not capture the true risk for the HIV-infected population, and a specific score, taking into account the use of specific antiretroviral agents, might work differently . In addition, the number of possible combinations of ARV agents and the duration of treatment makes it difficult to isolate individual effects on the risk of coronary heart disease.
In conclusion, this study showed that cardiovascular risk factors are present in the HIV-infected population and account for risk of coronary heart disease in 10 years. Even with the variation on risk factor prevalence among regions, the main risk factors—hypertension and diabetes mellitus—were identified in all settings as risk factors for coronary heart disease.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
The financial support was provided by the CNPq (National Council for Scientific and Technological Development), Ministry of Health/Secretariat of Health Surveillance/National STD and AIDS Program (MOH/SHS/NAP), FIPE-HCPA (Fundo de Apoio a Pesquisa, Hospital de Clínicas de Porto Alegre), and the National Institute for Health Technology Assessment (IATS/CNPq), Porto Alegre, RS, Brazil. The sponsors did not take part in the design or conduct of the study, including data collection, management, analysis, and interpretation of the data and preparation, review, or approval of the paper.
- M. Law, N. Friis-Möller, R. Weber et al., “Modelling the 3-year risk of myocardial infarction among participants in the Data Collection of Adverse Events of Anti-HIV Drugs (DAD) study,” HIV Medicine, vol. 4, no. 1, pp. 1–10, 2003.
- N. Friis-Möller, C. A. Sabin, R. Weber, et al., “Combination antiretroviral therapy and the risk of myocardial infarction,” The New England Journal of Medicine, vol. 349, no. 21, pp. 1993–2003, 2003.
- W. M. El-Sadr, J. D. Lundgren, J. D. Neaton et al., “CD4+ count-guided interruption of antiretroviral treatment,” The New England Journal of Medicine, vol. 355, no. 22, pp. 2283–2296, 2006.
- B. M. Bergersen, L. Sandvik, J. N. Bruun, and S. Tonstad, “Elevated Framingham risk in HIV-positive on highly active antiretroviral therapy: results from a Norwegian study of 721 subjects,” European Journal of Clinical Microbiology and Infectious Diseases, vol. 23, no. 8, pp. 625–630, 2004.
- K. Mondy, E. T. Overton, J. Grubb et al., “Metabolic syndrome in HIV-infected patients from an urban, midwestern US outpatient population,” Clinical Infectious Diseases, vol. 44, no. 5, pp. 726–734, 2007.
- P. Vergara-Rodriguez, S. Vibhakar, and J. Watts, “Metabolic syndrome and associated cardiovascular risk factors in the treatment of persons with human immunodeficiency virus and severe mental illness,” Pharmacology and Therapeutics, vol. 124, no. 3, pp. 269–278, 2009.
- K. Samaras, H. Wand, L. Matthew, S. Emery, D. Cooper, and A. Carr, “Prevalence of metabolic syndrome in HIV-infected patients receiving highly active antiretroviral therapy using International Diabetes Foundation and Adult Treatment Panel III criteria: associations with insulin resistance, disturbed body fat compartmentalization, elevated C-reactive protein, and hypoadiponectinemia,” Diabetes Care, vol. 30, no. 1, pp. 113–119, 2007.
- J. C. Z. Amaral, H. R. L. Melo, V. M. G. Albuquerque, et al., “Angina pectoris in patients with HIV/AIDS: prevalence and risk factors,” Brazilian Journal of Infectious Diseases, vol. 16, no. 1, pp. 1–8, 2012.
- P. Monteiro, D. B. Miranda-Filho, F. Bandeira, et al., “Is arterial stiffness in HIV-infected individuals associated with HIV-related factors?” Brazilian Journal of Medical and Biological Research, vol. 45, no. 9, pp. 818–826, 2012.
- M. M. Moreira Guimarães, D. Bartolomeu Greco, Á. H. Ingles Garces, A. R. De Oliveira Jr., R. Bastos Fóscolo, and L. J. de Campos MacHado, “Coronary heart disease risk assessment in HIV-infected patients: a comparison of Framingham, PROCAM and SCORE risk assessment functions,” International Journal of Clinical Practice, vol. 64, no. 6, pp. 739–745, 2010.
- P. W. F. Wilson, R. B. D'Agostino, D. Levy, A. M. Belanger, H. Silbershatz, and W. B. Kannel, “Prediction of coronary heart disease using risk factor categories,” Circulation, vol. 97, no. 18, pp. 1837–1847, 1998.
- Z. M. Barros, R. A. de Alencar Ximenes, D. B. Miranda-Filho et al., “Comparison between the Framingham and Prospective Cardiovascular of Münster scores for risk assessment of coronary heart disease in human immunodeficiency virus-positive patients in Pernambuco, Brazil,” Metabolic Syndrome and Related Disorders, vol. 8, no. 6, pp. 489–497, 2010.
- National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III), “Third report of the National Cholesterol Education Program (NCEP) Expert Panel on detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III) final report,” Circulation, vol. 106, no. 25, pp. 3143–3421, 2002.
- M. Schambelan, P. W. F. Wilson, K. E. Yarasheski et al., “Development of appropriate coronary heart disease risk prediction models in HIV-infected patients,” Circulation, vol. 118, no. 2, pp. e48–e53, 2008.
- R. B. D'Agostino Sr., “Cardiovascular risk estimation in 2012: lessons learned and applicability to the HIV population,” Brazilian Journal of Infectious Diseases, vol. 205, supplement 3, pp. S362–S367, 2012.
- N. Friis-Möller, R. Thiébaut, P. Reiss, et al., “Predicting the risk of cardiovascular disease in HIV-infected patients: the Data collection on Adverse Effects of Anti-HIV Drugs Study,” European Journal of Cardiovascular Prevention and Rehabilitation, vol. 17, no. 5, pp. 491–501, 2010.
- H. Ryan, A. Trosclair, and J. Gfroerer, “Adult current smoking: differences in definitions and prevalence estimates. NHIS and NSDUH, 2008,” Journal of Environmental and Public Health, vol. 2012, Article ID 918368, 11 pages, 2012.
- L. B. Moreira, F. D. Fuchs, R. S. Moraes, M. Bredemeier, and B. B. Duncan, “Alcohol intake and blood pressure: the importance of time elapsed since last drink,” Journal of Hypertension, vol. 16, no. 2, pp. 175–180, 1998.
- A. A. Steffens, L. B. Moreira, S. C. Fuchs, M. Wiehe, M. Gus, and F. D. Fuchs, “Incidence of hypertension by alcohol consumption: is it modified by race?” Journal of Hypertension, vol. 24, no. 8, pp. 1489–1492, 2006.
- R. B. D'Agostino Sr., R. S. Vasan, M. J. Pencina et al., “General cardiovascular risk profile for use in primary care: the Framingham heart study,” Circulation, vol. 117, no. 6, pp. 743–753, 2008.
- E. G. Burke, J. Nelson, J. Kwong, and P. F. Cook, “Cardiovascular risk assessment for persons living with HIV,” Journal of the Association of Nurses in AIDS Care, vol. 23, no. 2, pp. 134–145, 2012.
- C. G. Victora, S. R. Huttly, S. C. Fuchs, and M. T. A. Olinto, “The role of conceptual frameworks in epidemiological analysis: a hierarchical approach,” International Journal of Epidemiology, vol. 26, no. 1, pp. 224–227, 1997.
- S. C. Fuchs, L. B. Moreira, S. A. Camey, M. B. Moreira, and F. D. Fuchs, “Clustering of risk factors for cardiovascular disease among women in Southern Brazil: a population-based study,” Cadernos de Saude Publica, vol. 24, supplement 2, pp. S285–S293, 2008.
- A. J. D. Barros and V. N. Hirakata, “Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio,” BMC Medical Research Methodology, vol. 3, article 1, pp. 1–13, 2003.
- World Health Organization, The World Health Report 2002: Reducing Risks, Promoting Healthy Life, World Health Organization, Geneva, Switzerland, 2002.
- S. R. Preis, M. J. Pencina, S.-J. Hwang et al., “Trends in cardiovascular disease risk factors in individuals with and without diabetes mellitus in the framingham heart study,” Circulation, vol. 120, no. 3, pp. 212–220, 2009.
- S. W. Worm, S. de Wit, R. Weber et al., “Diabetes mellitus, preexisting coronary heart disease, and the risk of subsequent coronary heart disease events in patients infected with human immunodeficiency virus the data collection on adverse events of anti-HIV drugs (D:A:D Study),” Circulation, vol. 119, no. 6, pp. 805–811, 2009.
- F. J. Mateen, S. Kanters, R. Kalyesubula, et al., “Hypertension prevalence and Framingham risk score stratification in a large HIV-positive cohort in Uganda,” Journal of Hypertension, vol. 31, no. 7, pp. 1372–1378, 2013.
- N. Reinsch, K. Neuhaus, S. Esser, et al., “Are HIV patients undertreated? Cardiovascular risk factors in HIV: results of the HIV-HEART study,” European Journal of Preventive Cardiology, vol. 19, no. 2, pp. 267–274, 2012.
- S. W. Worm, C. Sabin, R. Weber et al., “Risk of myocardial infarction in patients with HIV infection exposed to specific individual antiretroviral drugs from the 3 major drug classes: the data collection on adverse events of anti-HIV drugs (D:A:D) study,” Journal of Infectious Diseases, vol. 201, no. 3, pp. 318–330, 2010.
- S. Lang, M. Mary-Krause, L. Cotte et al., “Impact of individual antiretroviral drugs on the risk of myocardial infarction in human immunodeficiency virus-infected patients: a case-control study nested within the French hospital database on HIV ANRS cohort CO4,” Archives of Internal Medicine, vol. 170, no. 14, pp. 1228–1238, 2010.
- C. A. Sabin, S. W. Worm, R. Weber, et al., “Use of nucleoside reverse transcriptase inhibitors and risk of myocardial infarction in HIV-infected patients enrolled in the D:A:D study: a multi-cohort collaboration,” The Lancet, vol. 371, no. 9622, pp. 1417–1426, 2008.
- P. Cahn, O. Leite, A. Rosales et al., “Metabolic profile and cardiovascular risk factors among Latin American HIV-infected patients receiving HAART,” Brazilian Journal of Infectious Diseases, vol. 14, no. 2, pp. 158–166, 2010.
- G. C. Siontis, I. Tzoulaki, K. C. Siontis, et al., “Comparisons of established risk prediction models for cardiovascular disease: systematic review,” British Medical Journal, vol. 344, Article ID e3318, 2012.
- K. H. Schlendorf, K. Nasir, and R. S. Blumenthal, “Limitations of the Framingham risk score are now much clearer,” Preventive Medicine, vol. 48, no. 2, pp. 115–116, 2009.
- R. B. D'Agostino Sr., S. Grundy, L. M. Sullivan, and P. Wilson, “Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation,” Journal of the American Medical Association, vol. 286, no. 2, pp. 180–187, 2001.
- J. S. Berger, C. O. Jordan, D. Lloyd-Jones, and R. S. Blumenthal, “Screening for cardiovascular risk in asymptomatic patients,” Journal of the American College of Cardiology, vol. 55, no. 12, pp. 1169–1177, 2010.