| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
(Circulation. 2008;118:e41-e47.)
© 2008 American Heart Association, Inc.
AHA Conference Proceedings |
Key Words: AHA Conference Proceedings AIDS HIV infectious diseases atherosclerosis
| Introduction |
|---|
|
|
|---|
| Screening for Cardiovascular Risk Factors |
|---|
|
|
|---|
|
The currently available recommendations and guidelines for screening for the presence of CVD risk factors in persons with HIV infection are detailed in Table 2. These recommendations take into account the evidence for dyslipidemia, insulin resistance, and changes in body fat distribution that have been shown to occur with highly active antiretroviral therapy (HAART) (see Contribution of Metabolic and Anthropometric Abnormalities to Cardiovascular Disease Risk Factors, Working Group 1).
|
| Screening for the Presence of Coronary Heart Disease |
|---|
|
|
|---|
Calculation of the Pretest Probability of CHD and Global CHD Risk
Several electronic and paper-based tools for calculating the pretest probability have been published,10–12 but they have not been validated specifically in the HIV population. Table 3 provides the details of 1 approach. In this model, patients with a pretest score of 0 to 8, 9 to 15, or >15 points are assigned a pretest probability of low, intermediate, or high, respectively.10 An intermediate pretest probability is the ideal scenario for selecting a noninvasive stress test in patients with a suspicion of CHD (ACC/AHA class I indication).8 Patients with a high pretest probability have a high false-negative rate on noninvasive tests; therefore, they should be referred for invasive coronary arteriography. Similarly, patients with a low pretest probability have a high false-positive rate and thus are not ideal for a noninvasive stress test such as the exercise ECG. A stress test with nuclear perfusion imaging or wall motion imaging with echocardiography may be appropriate as an initial test in this patient group, however, especially if the short-term global CHD risk is intermediate or high.9
|
Several multivariate models are available for calculating global CHD risk.13–15 The Framingham Risk Score,13 the most commonly used model, incorporates age, sex, blood pressure, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), diabetes, and smoking to calculate the 10-year CHD risk. Low, intermediate, and high risk are defined as 10-year risk of CHD of <10%, 10% to 20%, and >20%, respectively. Patients with a low pretest probability who also have a low global CHD risk should not be referred for further diagnostic testing for CHD. However, asymptomatic patients or patients with a low pretest probability who have an intermediate CHD risk or have high-risk occupations (eg, airline pilots) are appropriate candidates for stress testing combined with nuclear or echocardiographic imaging as the initial diagnostic test.9 For patients with HIV, risk prediction equations that incorporate protease inhibitor (PI) exposure and traditional risk factors have been proposed14,15 and have been proved to be reasonably accurate in preliminary studies of HIV-infected men and women. The Framingham model, however, appears to underestimate CHD events in HIV patients who also smoke.14 Further validation of the Framingham risk equation and development of more accurate HIV-specific equations for risk stratification are needed, but the existing equations may nonetheless be useful for providing a general estimate of risk (see Development of Appropriate Coronary Heart Disease Risk Prediction Models in HIV-Infected Patients, Working Group 5).
Choice of Noninvasive Stress Tests
The use of graded levels of stress to elicit myocardial ischemia forms the cornerstone of noninvasive testing for CHD. Graded stress typically is applied in the form of physical exercise (using a treadmill or stationary bicycle) or pharmacological agents (using dipyridamole, dobutamine, or adenosine). Myocardial ischemia can be detected with standard 12-lead ECG, echocardiography, or nuclear imaging. The treadmill exercise ECG test, the most commonly used and least expensive stress test, has a mean sensitivity and specificity for detecting angiographically significant CHD of 68% and 77%, respectively. In patients with resting ST-segment abnormalities, left ventricular hypertrophy, left bundle-branch block, a ventricular paced rhythm, or the Wolff-Parkinson-White syndrome, an imaging study is preferred over exercise ECG. However, in a patient who is able to walk on a treadmill and has none of these ECG findings, current guidelines recommend the standard treadmill exercise ECG as the initial test of choice.8,9
The US Preventive Services Task Force recommends against the routine use of resting ECG, exercise treadmill test, or electron-beam computed tomography scanning for coronary calcium for screening for either the presence of severe coronary artery stenosis or the prediction of CHD events in adults at low risk for CHD events.16 The US Preventive Services Task Force considers younger adults (ie, men <50 and women <60 years of age) who have no other risk factors for CHD (10-year risk of <5% to 10%) to be at low risk, whereas older adults or younger adults with
1 risk factors (10-year risk of >15% to 20%) are considered to be at increased risk for CVD. In these adults considered to be at increased risk, the US Preventive Services Task Force found insufficient evidence to recommend for or against routine screening with ECG, exercise treadmill test, or electron-beam computed tomography scanning for coronary calcium. Until further data are obtained, these guidelines may be used similarly in the HIV population.
Pharmacological stress is recommended when patients are unable to perform adequate exercise. In patients with an intermediate pretest probability of CHD, the routinely used diagnostic tests (exercise ECG, planar thallium imaging, single-photon emission computed tomography perfusion imaging, stress echocardiography, and positron emission tomography) have sensitivities in the range of 68% to 91% and specificities of 73% to 88%.17 In addition to their differences in sensitivity and specificity, these tests vary in the frequency of nondiagnostic test results, prognostic accuracy, relative cost, interobserver variability, and availability of local expertise to perform and interpret the tests.
The selection of the most appropriate initial noninvasive diagnostic test for CHD in women is an important challenge. The lower prevalence of CHD in women compared with men of the same age and a higher rate of false-positive ST-segment depression on exercise ECG contribute to this challenge.18 As a result, selection of an imaging stress test may be preferable to the standard stress ECG as the initial test in women with an intermediate pretest probability of CHD.18
The sensitivity of exercise treadmill test, pharmacological stress imaging, and stress echocardiography in the HIV-infected population remains unknown. In a study of 99 asymptomatic HIV-infected individuals without known CHD, 11% were shown to have a positive stress test result, with 1 patient requiring coronary artery bypass graft surgery.19
| Emerging Risk Factors for CHD |
|---|
|
|
|---|
Of the inflammatory biomarkers, only high-sensitivity C-reactive protein (hsCRP) has been recommended for use in clinical practice by the Centers for Disease Control and Prevention (CDC) and the AHA.24 Epidemiological data have shown that hsCRP has had the strongest association with prognosis for new cardiovascular events in patients with unstable angina and myocardial infarction.28,29 On the basis of the available evidence, the CDC/AHA suggest that patients with moderate risk (10% to 20% risk of CVD over 10 years) may benefit from measurement of hsCRP to identify individuals who should be considered for medical therapy (ie, lipid-lowering, antiplatelet, or other cardioprotective drugs). In a cohort of HIV-infected women, CRP level was an independent predictor of mortality (P<0.01) after adjustment for age, body mass index, serum albumin, CD4 lymphocytes, and HIV-1 RNA.30 Data from the Multicenter AIDS Cohort Study showed that levels of CRP were associated with HIV disease progression independently of CD4 count and HIV RNA levels.31 Early studies suggest that increased CRP is a function of changes in fat distribution independently of viral load or CD4 count in HIV-infected women.32 For patients with HIV, the role of hsCRP in clinical practice is less clear because results could be confounded by comorbid health conditions,33 and studies investigating the relationship between CRP and CHD, controlling for traditional risk factors, are needed in the HIV population. Other biomarkers include adiponectin, serum amyloid A, vascular cell adhesion molecule-1, intracellular adhesion molecule-1, lipoprotein-associated phospholipase A2, and monocyte chemotactic protein-1. Adiponectin is reduced in HIV-infected patients with fat redistribution and may contribute to insulin resistance.34 Although epidemiological studies suggest that these inflammatory biomarkers are unrelated to each other, in vitro and in vivo studies indicate that these markers are involved at different stages of atherosclerotic lesion formation.26 There are no data yet to suggest that use of these biomarkers adds to that of traditional risk factors in the evaluation of CHD risk among HIV-infected patients in clinical practice. In addition, HIV-infected patients may have impaired fibrinolysis35 and thus may be at higher risk for thrombosis compared with uninfected patients.
Of the lipid biomarkers, apolipoprotein (apo) B has been discussed as a potential substitute for LDL-C and non–HDL-C in the screening and treatment of CVD.36,37 Some studies suggest that apoB is a stronger predictor of CVD than LDL-C,36,38 and the combined ratio measurement of apoB and apoA-I is superior to any of the conventional cholesterol ratios (LDL-C/HDL-C, TC/HDL-C, non–HDL-C/HDL-C) in predicting the risk for CVD.39 The Insulin Resistance Atherosclerosis Study40 found that 10% of subjects had an apoB >120 mg/dL but did not have an elevated LDL-C or non–HDL-C, implying that current lipid guidelines may miss these individuals.41 However, the results of other large-scale prospective studies have not been consistent with regard to apoB and apoA-I. In the Atherosclerosis Risk in Communities Study,42 apoB and apoA-I were strongly predictive of CVD when considered alone but did not contribute when considered together with LDL-C, HDL-C, and triglycerides. The Goettingen Risk, Incidence and Prevalence Study found that LDL-C was a stronger predictor of myocardial infarction than the ratio of apoB to apoA-I or apo B.43 In light of these observations, the addition of the ratio of apoB to apoA-I to clinical measures should be considered a tool to fine-tune the risk assessment and targets of therapy. Among HIV-infected patients, use of PIs is associated with an atherogenic lipid profile44,45 and increased apoB46,47; thus, evaluation of apoB may prove useful to further define risk when LDL-C is normal and triglyceride levels are increased. In HIV-infected patients, treatment with lipid-lowering therapy has been shown to improve atherogenic lipid profiles (see also Prevention Strategies for Cardiovascular Disease in HIV-Infected Patients, Working Group 6).44,48
Plasma levels of the amino terminal fragment of prohormone brain-type natriuretic peptide (NT-proBNP) are predictive of cardiovascular morbidity and mortality and can identify patients who are at risk for events in the future.49 A study of 495 HIV-infected individuals who were treated with HAART showed that these individuals had higher NT-proBNP levels compared with age-matched blood donors.50 Like hsCRP, the ability of NT-proBNP to predict cardiovascular events in HIV-infected individuals remains unclear and requires further studies.
| Surrogate Marker Studies of Atherosclerosis |
|---|
|
|
|---|
Both of these surrogate markers have been studied in HIV-infected populations, typically to identify factors associated with CVD. In cross-sectional studies of cIMT, older age, male sex, smoking, and increased body mass index frequently were associated with increased cIMT.57–65 One AIDS Clinical Trials Group study was uniquely designed with triads of patients enrolled simultaneously: HIV-infected patients with a history of PI use; HIV-infected patients with no PI exposure; and age-, sex-, ethnicity-, smoking history–, blood pressure–, and menopausal status–matched, HIV-negative control subjects.61,66 There was no correlation between PI use or HIV infection and cIMT, but traditional risk factors of age, HDL, and body mass index were associated. The sample size was small in all of these studies, and follow-up was limited in duration. In 1 longitudinal study, 148 HIV-infected patients and 68 HIV-negative control subjects were studied over 1 year.67 Age, LDL, smoking, Latino ethnicity, hypertension, and HIV infection were associated with increased cIMT.67 One-year progression of cIMT in HIV-infected patients was more accelerated than in HIV-negative controls: 0.074 versus 0.006 mm/y. Age, Latino ethnicity, and CD4 nadir were all associated with progression of cIMT. Of note, each of these studies used different methodologies for evaluating IMT and different patient populations.
CCSs have been reported in 7 cross-sectional studies in HIV-infected individuals. In 1 study, 17 HIV-infected individuals were compared with HIV-negative control subjects; CCS appeared to be higher in HIV-infected individuals.68 Other studies have demonstrated a correlation with the use of the PI nelfinavir alone or with PI use in general.69–71 Another study, however, showed no association with HIV or with PI use when HIV-infected individuals were compared with HIV-negative individuals. In univariate analysis of a cohort of 327 HIV-infected individuals, an abnormal CCS was predicted by age, triglycerides, and remnant lipoprotein C in both men and women.64 There was a trend for duration of HIV infection to be associated with an increased risk for abnormal CCS in both men and women. In studies that reported CCS in cocaine users, cocaine was associated with increased CCS.69,70 The sample size in all of these studies was small (17 to 98 participants), and populations were biased (entirely black and/or cocaine users).
Flow-mediated vasodilation of the brachial artery is a method to assess endothelial function. Endothelial dysfunction may be an early manifestation of atherosclerosis72 and is important in the pathogenesis of CVD.73 Endothelial function of the brachial arteries and endothelial function of the coronary arteries are strongly correlated.74 Most important, endothelial function is independently predictive of both short- and long-term cardiovascular events.75,76 In a cross-sectional study of 37 HIV-infected adults who were receiving antiretroviral therapy, PI therapy was associated with endothelial dysfunction.45 A recent substudy of a large antiretroviral clinical trial found that all 3 HAART regimens studied improved endothelial function as early as 4 weeks after treatment was started, suggesting that regardless of the type of antiretroviral agent, treatment of HIV disease may contribute to improved endothelial function (see also Effects of HIV Infection and Antiretroviral Therapy on the Heart and Vasculature, Working Group 3).77
Improvements in imaging technology may expand the utility of these diagnostic strategies. The questions that remain about the specific risks of CVD among HIV-infected populations may be addressed with well-conducted surrogate marker studies. The usefulness of these surrogate markers in evaluating an individuals risk is not as clear.
| Controversial Issues, Gaps in Knowledge, and Future Research Priorities |
|---|
|
|
|---|
In the absence of HIV-specific studies, recommendations for both the screening and diagnosis of coronary artery disease in the HIV-infected individual do not differ generally from the strategies that have been proven effective in uninfected populations. The gaps in our knowledge base regarding best screening and treatment practices need careful ongoing clinical and basic study in large populations with long follow-up if we are to refine our approach to the detection and amelioration of CHD and other CVDs in the HIV-infected population.
| Acknowledgments |
|---|
Potential conflicts of interest for members of the writing groups for all sections of these conference proceedings are provided in a disclosure table included with the Executive Summary, which is available online at http://circ.ahajournals.org/cgi/content/full/CIRCULATIONAHA.107.189622.
| Footnotes |
|---|
The opinions expressed in this manuscript are those of the authors and should not be construed as necessarily representing an official position of the US Department of Health and Human Services, the Centers for Disease Control and Prevention, the Agency for Healthcare Research and Quality, or the US government. These opinions are not necessarily those of the editor or the American Heart Association.
The Executive Summary is available in the print issue of the journal (Circulation. 2008;118:198–210). The remaining writing group reports are available online at http://circ.ahajournals.org (Circulation. 2008;118:e20–e28; e29–e35; e36–e40; e48–e53; and e54–e60).
These proceedings were approved by the American Heart Association Science Advisory and Coordinating Committee on February 29, 2008. A copy of these proceedings is available at http://www.americanheart.org/presenter.jhtml?identifier=3003999 by selecting either the "topic list" link or the "chronological list" link (No. 71-0449). To purchase additional reprints, call 843-216-2533 or e-mail kelle.ramsay@wolterskluwer.com.
This article has been copublished in the Journal of Acquired Immune Deficiency Syndromes.
Expert peer review of AHA Scientific Statements is conducted at the AHA National Center. For more on AHA statements and guidelines development, visit http://www.americanheart.org/presenter.jhtml?identifier=3023366.
Permissions: Multiple copies, modification, alteration, enhancement, and/or distribution of this document are not permitted without the express permission of the American Heart Association. Instructions for obtaining permission are located at http://www.americanheart.org/presenter.jhtml?identifier=4431. A link to the "Permission Request Form" appears on the right side of the page.
| References |
|---|
|
|
|---|
2. US Preventive Services Task Force. Screening for type 2 diabetes mellitus in adults: recommendations and rationale. Ann Intern Med. 2003; 138: 212–214.
3. US Preventive Services Task Force. Screening for high blood pressure: recommendations and rationale. Am J Prev Med. 2003; 25: 159–164.[CrossRef][Medline] [Order article via Infotrieve]
4. 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. 2002; 106: 3143–3421.
5. Aberg JA, Gallant JE, Anderson J, Oleske JM, Libman H, Currier JS, Stone VE, Kaplan JE, for the HIV Medicine Association of the Infectious Diseases Society of America. Primary care guidelines for the management of persons infected with human immunodeficiency virus: recommendations of the HIV Medicine Association of the Infectious Diseases Society of America. Clin Infect Dis. 2004; 39: 609–629.[CrossRef][Medline] [Order article via Infotrieve]
6. New York State Department of Health. Primary care approach to the HIV-infected patient. Available at: http://www.hivguidelines.org/GuideLine.aspx?pageID=257&guideLineID=13. Accessed July 30, 2007.
7. Models of care for HIV infected adults: approaches to the management of metabolic issues. Available at: http://ashm.org.au/uploads/mgmt-metabolic-issues.pdf. Accessed July 30, 2007.
8. Gibbons RJ, Balady GJ, Bricker JT, Chaitman BR, Fletcher GF, Froelicher VF, Mark DB, McCallister BD, Mooss AN, OReilly MG, Winters WL, Gibbons RJ, Antman EM, Alpert JS, Faxon DP, Fuster V, Gregoratos G, Hiratzka LF, Jacobs AK, Russell RO, Smith SC. ACC/AHA 2002 guideline update for exercise testing: summary article: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Committee to Update the 1997 Exercise Testing Guidelines). J Am Coll Cardiol. 2002; 40: 1531–1540.
9. Brindis RG, Douglas PS, Hendel RC, Peterson ED, Wolk MJ, Allen JM, Patel MR, Raskin IE, Hendel RC, Bateman TM, Cerqueira MD, Gibbons RJ, Gillam LD, Gillespie JA, Hendel RC, Iskandrian AE, Jerome SD, Krumholz HM, Messer JV, Spertus JA, Stowers SA. ACCF/ASNC appropriateness criteria for single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI): a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group and the American Society of Nuclear Cardiology. J Am Coll Cardiol. 2005; 46: 1587–1605.
10. Morise AP, Jalisi F. Evaluation of pretest and exercise test scores to assess all-cause mortality in unselected patients presenting for exercise testing with symptoms of suspected coronary artery disease. J Am Coll Cardiol. 2003; 42: 842–850.
11. Kline JA, Johnson CL, Pollack CV Jr, Diercks DB, Hollander JE, Newgard CD, Garvey JL. Pretest probability assessment derived from attribute matching. BMC Med Inform Decis Mak. 2005; 5: 26.[CrossRef][Medline] [Order article via Infotrieve]
12. Morise AP. Comparison of the Diamond-Forrester method and a new score to estimate the pretest probability of coronary disease before exercise testing. Am Heart J. 1999; 138 (pt 1): 740–745.[CrossRef][Medline] [Order article via Infotrieve]
13. Wilson PW, DAgostino RB, Levy D, Belanger AM, Silbershatz H, Kannel WB. Prediction of coronary heart disease using risk factor categories. Circulation. 1998; 97: 1837–1847.
14. Friis-Møller N, Thiébaut R, Reiss P, El-Sadr W, Weber R, DArminio Monforte A, Fontas E, Worm S, Kirk O, Phillips A, Sabin CA, Lundgren JD, Law M, for the D:A:D Study Group. Predicting the risk of coronary heart disease (CHD) in HIV-infected patients: the D:A:D CHD Risk Equation. Paper presented at: 14th Conference on Retroviruses and Opportunistic Infections; February 27, 2007; Los Angeles, Calif.
15. May M, Sterne JAC, Shipley M, Brunner E, dAgostino R, Whincup P, Ben-Shlomo Y, Carr A, Ledergerber B, Lundgren JD, Phillips AN, Massaro J, Egger M. A coronary heart disease risk model for predicting the effect of potent antiretroviral therapy in HIV-1 infected men. Int J Epidemiol. 2007; 36: 1309–1318.
16. US Preventive Services Task Force. Screening for coronary heart disease: recommendation statement. Ann Intern Med. 2004; 140: 569–572.
17. Garber AM, Solomon NA. Cost-effectiveness of alternative test strategies for the diagnosis of coronary artery disease. Ann Intern Med. 1999; 130: 719–728.
18. Mieres JH, Shaw LJ, Arai A, Budoff MJ, Flamm SD, Hundley WG, Marwick TH, Mosca L, Patel AR, Quinones MA, Redberg RF, Taubert KA, Taylor AJ, Thomas GS, Wenger NK. Role of noninvasive testing in the clinical evaluation of women with suspected coronary artery disease: consensus statement from the Cardiac Imaging Committee, Council on Clinical Cardiology, and the Cardiovascular Imaging and Intervention Committee, Council on Cardiovascular Radiology and Intervention, American Heart Association. Circulation. 2005; 111: 682–696.
19. Duong M, Cottin Y, Piroth L, Fargeot A, Lhuiller I, Bobillier M, Grappin M, Buisson M, Zeller M, Chavanet P, Wolf JE, Portier H. Exercise stress testing for detection of silent myocardial ischemia in human immunodeficiency virus-infected patients receiving antiretroviral therapy. Clin Infect Dis. 2002; 34: 523–528.[CrossRef][Medline] [Order article via Infotrieve]
20. Tousoulis D, Antoniades C, Stefanadis C. Assessing inflammatory status in cardiovascular disease. Heart. 2007; 93: 1001–1007.
21. Libby P. Inflammation and cardiovascular disease mechanisms. Am J Clin Nutr. 2006; 83 (suppl): 456S–460S.
22. Sklar P, Masur H. HIV infection and cardiovascular disease: is there really a link? N Engl J Med. 2003; 349: 2065–2067.
23. Hsue PY, Hunt PW, Sinclair E, Bredt B, Franklin A, Millian M, Hoh R, Martin JN, McCune JM, Waters DD, Deeks SG. Increased carotid intima-media thickness in HIV patients is associated with increased cytomegalovirus-specific T-cell responses. AIDS. 2006; 20: 2275–2283.[Medline] [Order article via Infotrieve]
24. Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, Rifai N, Smith SC, Taubert K, Tracy RP, Vinicor F. Markers of inflammation and cardiovascular disease: application to clinical and public health practice: a statement for healthcare professionals from the Centers for Disease Control and Prevention and the American Heart Association. Circulation. 2003; 107: 499–511.
25. de Gaetano Donati K, Rabagliati R, Iacoviello L, Cauda R. HIV infection, HAART, and endothelial adhesion molecules: current perspectives. Lancet Infect Dis. 2004; 4: 213–222.[CrossRef][Medline] [Order article via Infotrieve]
26. Ferri N, Paoletti R, Corsini A. Biomarkers for atherosclerosis: pathophysiological role and pharmacological modulation. Curr Opin Lipidol. 2006; 17: 495–501.[Medline] [Order article via Infotrieve]
27. Wu JT, Wu LL. Linking inflammation and atherogenesis: soluble markers identified for the detection of risk factors and for early risk assessment. Clin Chim Acta. 2006; 366: 74–80.[CrossRef][Medline] [Order article via Infotrieve]
28. Zebrack JS, Anderson JL, Maycock CA, Horne BD, Blair TL, Muhlestein JB, for the Intermountain Heart Collaborative (IHC) Study Group. Usefulness of high-sensitivity C-reactive protein in predicting long-term risk of death or acute myocardial infarction in patients with unstable or stable angina pectoris or acute myocardial infarction. Am J Cardiol. 2002; 89: 145–149.[CrossRef][Medline] [Order article via Infotrieve]
29. Rebuzzi AG, Quaranta G, Liuzzo G, Caligiuri G, Lanza GA, Gallimore JR, Grillo RL, Cianflone D, Biasucci LM, Maseri A. Incremental prognostic value of serum levels of troponin T and C-reactive protein on admission in patients with unstable angina pectoris. Am J Cardiol. 1998; 82: 715–719.[CrossRef][Medline] [Order article via Infotrieve]
30. Feldman JG, Goldwasser P, Holman S, DeHovitz J, Minkoff H. C-reactive protein is an independent predictor of mortality in women with HIV-1 infection. Acquir Immune Defic Syndr. 2003; 32: 210–214.
31. Lau B, Sharrett AR, Kingsley LA, Post W, Palella FJ, Vischer B, Gange SJ. C-reactive protein is a marker for human immunodeficiency virus disease progression. Arch Intern Med. 2006; 166: 64–70.
32. Dolan SE, Hadigan C, Killilea KM, Sullivan MP, Hemphill L, Lees RS, Schoenfeld D, Grinspoon S. Increased cardiovascular risk indices in HIV-infected women. J Acquir Immune Defic Syndr. 2005; 39: 44–54.[CrossRef][Medline] [Order article via Infotrieve]
33. Lipshultz SE, Fisher SD, Lai WW, Miller TL. Cardiovascular monitoring and therapy for HIV-infected patients. Ann N Y Acad Sci. 2001; 946: 236–273.[Medline] [Order article via Infotrieve]
34. Tong Q, Sankalé JL, Hadigan CM, Tan G, Rosenberg ES, Kanki PJ, Grinspoon SK, Hotamisligil GS. Regulation of adiponectin in human immunodeficiency virus-infected patients: relationship to body composition and metabolic indices. J Clin Endocrinol Metab. 2003; 88: 1559–1564.
35. Hadigan C, Meigs JB, Rabe J, DAgostino RB, Wilson PW, Lipinska I, Tofler GH, Grinspoon SS, for the Framingham Heart Study. Increased PAI-1 and tPA antigen levels are reduced with metformin therapy in HIV-infected patients with fat redistribution and insulin resistance. J Clin Endocrinol Metab. 2001; 86: 939–943.
36. Pischon T, Girman CJ, Sacks FM, Rifai N, Stampfer MJ, Rimm EB. Non–high-density lipoprotein cholesterol and apolipoprotein B in the prediction of coronary heart disease in men. Circulation. 2005; 112: 3375–3383.
37. Sniderman AD, Furberg CD, Keech A, Roeters van Lennep JE, Frohlich J, Jungner I, Walldius G. Apolipoproteins versus lipids as indices of coronary risk and as targets for statin treatment. Lancet. 2003; 361: 777–780.[CrossRef][Medline] [Order article via Infotrieve]
38. Sniderman AD. Apolipoprotein B versus non-high-density lipoprotein cholesterol. And the winner is... . Circulation. 2005; 112: 3366–3367.
39. Walldius G, Jungner I, Aastveit AH, Holme I, Furberg CD, Sniderman AD. The apoB/apoA-1 ratio is better than cholesterol ratios to estimate the balance between plasma proatherogenic and antiatherogenic lipoproteins and to predict coronary risk. Clin Chem Lab Med. 2004; 42: 1355–1363.[CrossRef][Medline] [Order article via Infotrieve]
40. Sattar N, Williams K, Sniderman AD, DAgostino RB Jr, Haffner SM. Comparison of the associations of apolipoprotein B and non–high-density lipoprotein cholesterol with other cardiovascular risk factors in patients with metabolic syndrome in the Insulin Resistance Atherosclerosis Study. Circulation. 2004; 110: 2687–2693.
41. Denke MA. Weighing in before the fight: Low-density lipoprotein cholesterol and non–high-density lipoprotein cholesterol versus apolipoprotein B as the best predictor for coronary heart disease and the best measure of therapy. Circulation. 2005; 112: 3368–3370.
42. Sharrett AR, Ballantyne CM, Coady SA, Heiss G, Sorlie PD, Catellier D, Patsch W. Coronary heart disease prediction from lipoprotein cholesterol levels, triglycerides, lipoprotein(a), apolipoproteins A-I and B, and HDL density subfractions: the Atherosclerosis Risk in Communities (ARIC) study. Circulation. 2001; 104: 1108–1113.
43. Cremer P, Nagel D, Mann H, Labrot B, Muller-Berninger R, Elster H, Seidel D. Ten-year follow-up results from the Goettingen Risk, Incidence and Prevalence Study (GRIPS), I: risk factors for myocardial infarction in a cohort of 5790 men. Atherosclerosis. 1997; 129: 221–230.[CrossRef][Medline] [Order article via Infotrieve]
44. Badiou S, Merle De Bouever C, Dupuy AM, Baillat V, Cristol JP, Reynes J. Fenofibrate improves the atherogenic lipid profile and enhances LDL resistance to oxidation in HIV-positive adults. Atherosclerosis. 2004; 172: 273–279.[CrossRef][Medline] [Order article via Infotrieve]
45. Stein JH, Klein MA, Bellehumeur JL, McBride PE, Wiebe DA, Otvos JD, Sosman JM. Use of human immunodeficiency virus-1 protease inhibitors is associated with atherogenic lipoprotein changes and endothelial dysfunction. Circulation. 2001; 104: 257–262.
46. Badiou S, Merle De Boever C, Dupuy AM, Baillat V, Cristol JP, Reynes J. Decrease in LDL size in HIV-positive adults before and after lopinavir/ritonavir-containing regimen: an index of atherogenicity? Atherosclerosis. 2003; 168: 107–113.[CrossRef][Medline] [Order article via Infotrieve]
47. Petit JM, Duong M, Florentin E, Duvillard L, Chavanet P, Brun JM, Portier H, Gambert P, Verges B. Increased VLDL-apoB and IDL-apoB production rates in nonlipodystrophic HIV-infected patients on a protease inhibitor-containing regimen: a stable isotope kinetic study. J Lipid Res. 2003; 44: 1692–1697.
48. Stein JH, Merwood MA, Bellehumeur JL, Aeschlimann SE, Korcarz CE, Underbakke GL, Mays ME, Sosman JM. Effects of pravastatin on lipoproteins and endothelial function in patients receiving human immunodeficiency virus protease inhibitors. Am Heart J. 2004; 147: E18.[Medline] [Order article via Infotrieve]
49. Bibbins-Domingo K, Gupta R, Na B, Wu AH, Schiller NB, Whooley MA. N-terminal fragment of the prohormone brain-type natriuretic peptic (NT-proBNP), cardiovascular events, and mortality in patients with stable coronary heart disease. JAMA. 2007; 297: 169–176.
50. Berg T, Zdunek D, Stalke J, Dupke S, Baumgarten A, Carganico A, Hess G. N-terminal pro-B-type natriuretic peptide (NT-pro-BNP) in HIV-1 infected individuals on HAART. Eur J Med Res. 2007; 12: 152–160.[Medline] [Order article via Infotrieve]
51. Sankatsing RR, de Groot E, Jukema JW, de Feyter PJ, Pennell DJ, Schoenhagen P, Nissen SE, Stroes ES, Kastelein JJ. Surrogate markers for atherosclerotic disease. Curr Opin Lipidol. 2005; 16: 434–441.[Medline] [Order article via Infotrieve]
52. OLeary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson SK Jr. Carotid-artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults: Cardiovascular Health Study Collaborative Research Group. N Engl J Med. 1999; 340: 14–22.
53. Howard G, OLeary DH, Zaccaro D, Haffner S, Rewers M, Hamman R, Selby JV, Saad MF, Savage P, Bergman R. Insulin sensitivity and atherosclerosis: the Insulin Resistance Atherosclerosis Study (IRAS) Investigators. Circulation. 1996; 93: 1809–1817.
54. OLeary DH, Polak JF, Wolfson SK Jr, Bond MG, Bommer W, Sheth S, Psaty BM, Sharrett AR, Manolio TA. Use of sonography to evaluate carotid atherosclerosis in the elderly: the Cardiovascular Health Study: CHS Collaborative Research Group. Stroke. 1991; 22: 1155–1163.
55. Rumberger JA, Brundage BH, Rader DJ, Kondos G. Electron beam computed tomographic coronary calcium scanning: a review and guidelines for use in asymptomatic persons. Mayo Clin Proc. 1999; 74: 243–252.[Abstract]
56. Schmermund A, Baumgart D, Gorge G, Gronemeyer D, Seibel R, Bailey KR, Rumberger JA, Paar D, Erbel R. Measuring the effect of risk factors on coronary atherosclerosis: coronary calcium score versus angiographic disease severity. J Am Coll Cardiol. 1998; 31: 1267–1273.
57. Maggi P, Serio G, Epifani G, Fiorentino G, Saracino A, Fico C, Perilli F, Lillo A, Ferraro S, Gargiulo M, Chirianni A, Angarano G, Regina G, Pastore G. Premature lesions of the carotid vessels in HIV-1-infected patients treated with protease inhibitors. AIDS. 2000; 14: F123–F128.[CrossRef][Medline] [Order article via Infotrieve]
58. Maggi P, Lillo A, Perilli F, Maserati R, Chirianni A, for the PREVALEAT Group. Colour-Doppler ultrasonography of carotid vessels in patients treated with antiretroviral therapy: a comparative study. AIDS. 2004; 18: 1023–1028.[CrossRef][Medline] [Order article via Infotrieve]
59. Jerico C, Knobel H, Calvo N, Sorli ML, Guelar A, Gimeno-Bayon JL, Saballs P, Lopez-Colomes JL, Pedro-Botet J. Subclinical carotid atherosclerosis in HIV-infected patients: role of combination antiretroviral therapy. Stroke. 2006; 37: 812–817.
60. Mercie P, Thiebaut R, Lavignolle V, Pellegrin JL, Yvorra-Vives MC, Morlat P, Ragnaud JM, Dupon M, Malvy D, Bellet H, Lawson-Ayayi S, Roudaut R, Dabis F. Evaluation of cardiovascular risk factors in HIV-1 infected patients using carotid intima-media thickness measurement. Ann Med. 2002; 34: 55–63.[CrossRef][Medline] [Order article via Infotrieve]
61. Currier JS, Kendall MA, Henry WK, Alston-Smith B, Torriani FJ, Tebas P, Li Y, Hodis HN. Progression of carotid artery intima-media thickening in HIV-infected and uninfected adults. AIDS. 2007; 21: 1137–1145.[Medline] [Order article via Infotrieve]
62. Seminari E, Pan A, Voltini G, Carnevale G, Maserati R, Minoli L, Meneghetti G, Tinelli C, Testa S. Assessment of atherosclerosis using carotid ultrasonography in a cohort of HIV-positive patients treated with protease inhibitors. Atherosclerosis. 2002; 162: 433–438.[CrossRef][Medline] [Order article via Infotrieve]
63. Constans J, Marchand JM, Conri C, Peuchant E, Seigneur M, Rispal P, Lasseur C, Pellegrin JL, Leng B. Asymptomatic atherosclerosis in HIV-positive patients: a case-control ultrasound study. Ann Med. 1995; 27: 683–685.[Medline] [Order article via Infotrieve]
64. Mangili A, Gerrior J, Tang AM, OLeary DH, Polak JK, Schaefer EJ, Gorbach SL, Wanke CA. Risk of cardiovascular disease in a cohort of HIV-infected adults: a study using carotid intima media thickness and coronary artery calcium score. Clin Infect Dis. 2006; 43: 1482–1489.[CrossRef][Medline] [Order article via Infotrieve]
65. Johnsen S, Dolan SE, Fitch KV, Kanter JR, Hemphill LC, Connelly JM, Lees RS, Lee H, Grinspoon S. Carotid intimal medial thickness in human immunodeficiency virus-infected women: effects of protease inhibitor use, cardiac risk factors, and the metabolic syndrome. J Clin Endocrinol Metab. 2006; 91: 4916–4924.
66. Currier JS, Kendall MA, Zackin R, Henry WK, Alston-Smith B, Torriani FJ, Schouten J, Mickelberg K, Li Y, Hodis HN, for the AACTG 5078 Study Team. Carotid artery intima-media thickness and HIV infection: traditional risk factors overshadow impact of protease inhibitor exposure. AIDS. 2005; 19: 927–933.[Medline] [Order article via Infotrieve]
67. Hsue PY, Lo JC, Franklin A, Bolger AF, Martin JN, Deeks SG, Waters DD. Progression of atherosclerosis as assessed by carotid intima-media thickness in patients with HIV infection. Circulation. 2004; 109: 1603–1608.
68. Acevedo M, Sprecher DL, Calabrese L, Pearce GL, Coyner DL, Halliburton SS, White RD, Sykora E, Kondos GT, Hoff JA. Pilot study of coronary atherosclerotic risk and plaque burden in HIV patients: "a call for cardiovascular prevention." Atherosclerosis. 2002; 163: 349–354.[CrossRef][Medline] [Order article via Infotrieve]
69. Lai S, Lai H, Meng Q, Tong W, Vlahov D, Celentano D, Strathdee S, Nelson K, Fishman EK, Lima JA. Effect of cocaine use on coronary calcium among black adults in Baltimore, Maryland. Am J Cardiol. 2002; 90: 326–328.[CrossRef][Medline] [Order article via Infotrieve]
70. Lai S, Lima JA, Lai H, Vlahov D, Celentano D, Tong W, Bartlett JG, Margolick J, Fishman EK. Human immunodeficiency virus 1 infection, cocaine, and coronary calcification. Arch Intern Med. 2005; 165: 690–695.
71. Meng Q, Lima JA, Lai H, Vlahov D, Celentano DD, Strathdee SA, Nelson KE, Wu KC, Chen S, Tong W, Lai S. Coronary artery calcification, atherogenic lipid changes, and increased erythrocyte volume in black injection drug users infected with human immunodeficiency virus-1 treated with protease inhibitors. Am Heart J. 2002; 144: 642–48.[Medline] [Order article via Infotrieve]
72. Healy B. Endothelial cell dysfunction: an emerging endocrinopathy linked to coronary disease. J Am Coll Cardiol. 1990; 16: 357–358.[Medline] [Order article via Infotrieve]
73. Gibbons GH. Endothelial function as a determinant of vascular function and structure: a new therapeutic target. Am J Cardiol. 1997; 79 (suppl 5A): 3–8.[Medline] [Order article via Infotrieve]
74. Takase B, Uehata A, Akima T, Nagai T, Nishioka T, Hamabe A, Satomura K, Ohsuzu F, Kurita A. Endothelium-dependent flow-mediated vasodilation in coronary and brachial arteries in suspected coronary artery disease. Am J Cardiol. 1998; 82: 1535–1539.[CrossRef][Medline] [Order article via Infotrieve]
75. Gokce N, Keaney JF Jr, Hunter LM, Watkins MT, Nedeljkovic ZS, Menzoian JO, Vita JA. Predictive value of noninvasively determined endothelial dysfunction for long-term cardiovascular events in patients with peripheral vascular disease. J Am Coll Cardiol. 2003; 41: 1769–1775.
76. Neunteufl T, Heher S, Katzenschlager R, Volfl G, Kostner K, Maurer G, Weidinger F. Late prognostic value of flow-mediated dilation in the brachial artery of patients with chest pain. Am J Cardiol. 2000; 86: 207–210.[CrossRef][Medline] [Order article via Infotrieve]
77. Stein JH, Cotter BR, Parker RA, Murphy RL, Fichtenbaum CJ, Currier JS, Dubé MP, Squires KE, Gerschenson M, Mitchell CK, Komarow L, Torriani FJ. Antiretroviral therapy improves endothelial function in individuals with human immunodeficiency virus infection: a prospective randomized multicenter trial (Adults AIDS Clinical Trials Group Study 5152s). Paper presented at: Scientific Sessions of the American Heart Association; November 2005; Chicago, Ill.
This article has been cited by other articles:
![]() |
J. E Ho and P. Y Hsue Cardiovascular manifestations of HIV infection Heart, July 15, 2009; 95(14): 1193 - 1202. [Full Text] [PDF] |
||||
![]() |
S. G Deeks and A. N Phillips HIV infection, antiretroviral treatment, ageing, and non-AIDS related morbidity BMJ, January 26, 2009; 338(jan26_2): a3172 - a3172. [Full Text] |
||||
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|
Circulation Home | Subscriptions | Archives | Feedback | Authors | Help | AHA Journals Home | Search Copyright © 2008 American Heart Association, Inc. All rights reserved. Unauthorized use prohibited. |