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Pfizer Global Research and Development, New London, Connecticut (J.H.R., C.L.S., H.G.P., S.W.R.); and Medpace Inc., Cincinnati, Ohio (D.G.O.)
Abstract I. Introduction II. Definitions III. Validation of New Surrogate Markers A. Quantitative Coronary Angiography B. Carotid B-Mode Ultrasound C. Coronary Intravascular Ultrasound IV. Correlation between Carotid Intima-Media Thickness, Intravascular Ultrasound, and Clinical Events V. Circulating Biomarkers VI. Surrogate Endpoints and Regulatory Approval VII. Future Prospects: Biomarkers and Surrogate Endpoints
| Abstract |
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| I. Introduction |
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The "gold standard" for measuring clinical cardiovascular efficacy in drug development is the morbidity and mortality trial. However, such trials may require 10,000 to 15,000 subjects, followed for at least 5 years, to demonstrate a significant incremental benefit of a novel drug over and above that provided by currently available therapies. Moreover, the direct costs of conducting such trials and the costs resulting from the overall duration of the drug development and regulatory review process may well dampen enthusiasm for development of therapeutic agents in this area and, in some instances, may render advancement of novel treatments prohibitively expensive. On the other hand, if other, more efficient means of establishing the benefit of new drugs exist, the promise of timely access to new therapies remains. There is, therefore, potentially tremendous value to public health in accelerating the discovery and development processes for cardiovascular therapeutics through smaller, shorter studies, using validated endpoints other than mortality and irreversible morbidity. Of note, although the multiple reasons for differences in approach in cardiovascular therapeutics have been recognized, such concepts have long been applied in other disease areas, including infectious disease and oncology. The use, in part, of clinical trial evidence based on biomarker and surrogate endpoint effects (in lieu of morbidity and mortality endpoints) has the potential to revolutionize the drug development process and to thereby enhance the armamentarium of safe and effective cardiovascular therapeutics.
| II. Definitions |
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Surrogate endpoints are biomarkers that are predictors of clinical outcomes and that can therefore be used to assess the efficacy or safety of disease-modifying interventions. Typical surrogate endpoints used to assess the clinical efficacy of cardiovascular drugs include levels of LDL-C and blood pressure. Unlike simple biomarkers, measures of change in validated surrogate endpoints have sometimes served as a basis for the regulatory approval of pharmaceutical agents.
There have long been efforts to develop new biomarkers and to validate new surrogate endpoints in cardiovascular medicine. At this time, advances in cellular and molecular pathophysiology and in mechanism-driven pharmacology, the growing epidemic of CVD, and the plethora of opportunities to enhance the cardiovascular pharmacopoeia are together responsible for stimulating greater interest in accelerated drug development throughput in this clinical arena. The need for more rapid drug development highlights the role that surrogate markers may play in establishing the efficacy of drugs for managing CVD, and more specifically, atherosclerosis.
| III. Validation of New Surrogate Markers |
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The use of vascular imaging, combined with soluble molecular markers of disease activity, can provide valuable information to pharmaceutical companies and regulatory agencies during the development of novel treatments for atherosclerotic disease. This approach is not revolutionary. Indeed, in some countries, vascular imaging data have already been accepted in support of regulatory approval for supplemental indications for statins to slow the progression of atherosclerosis. An obvious means to expedite the availability of new cardiovascular therapies, therefore, is to base an initial regulatory approval on a combination of clinically validated vascular imaging endpoints and additional, suitably appropriate, clinical laboratory and safety data.
There are many vascular imaging technologies, both established and emerging, that permit investigators to collect information on vascular structure and on the development of atherosclerosis. Three of these vascular imaging technologies, quantitative coronary angiography (QCA), assessment of carotid intima-media thickness (cIMT) by ultrasound, and the determination of "plaque volume" using intravascular (or intracoronary) ultrasound (IVUS), meet or are at least close to meeting the established criteria for surrogacy (Boissel et al., 1992
; Espeland et al., 2005
). As discussed in further detail below, these methods are suitable for detecting atherosclerosis in specific vascular beds and for predicting clinical risk across populations. Furthermore, because atherosclerosis is a systemic arterial disorder, as documented in numerous post-mortem studies, and because a patient who has developed atherosclerosis in one vascular bed will also have it in other vascular beds, such methods can be used to support a clinical diagnosis of systemic atherosclerosis and overall cardiovascular risk (Mitchell and Schwartz, 1962
; Wofford et al., 1991
; Dormandy et al., 1999
). Thus, with careful standardization in application and analysis, these techniques have been successfully adapted to clinical research to assess the safety and efficacy of new pharmaceutical therapies.
A. Quantitative Coronary Angiography
Coronary angiography was first used and is still used in the clinical setting to confirm the presence or absence of symptom-limiting atherosclerotic arterial narrowing. Typically, patients at risk of coronary artery disease (CAD) present with symptoms of angina pectoris or a positive stress test and, if clinical suspicion and concern are high, undergo diagnostic cardiac catheterization. Cardiac catheterization is an "invasive procedure" in which a catheter is advanced through a large vessel, typically a femoral artery, over the aortic arch, and selectively engaged into each of the major coronary arteries. During the catheterization, angiography is performed by injection of radio-opaque contrast material into the vessels. By use of X-rays, images are acquired either on film or on a digital detector. The images are then analyzed for the presence of atherosclerotic narrowing that might require further intervention and "revascularization," either with an intravascular device or by arterial bypass grafting (Fig. 2). Clinical cardiologists usually describe a coronary narrowing as a "percent stenosis," relative to a nearby "normal" reference segment of the vessel. Such determinations are typically subjective. After the introduction of QCA, the systematic measurement of coronary lumen diameter and calculated percent stenosis made the overall technique more applicable to clinical research. The initial studies using QCA, conducted in the 1980s, were observational. Correlations between extent of disease by angiography and established risk factors such as hypercholesterolemia and hypertension were found. By conduction of sequential QCA studies, it became possible to measure rates of coronary atherosclerotic progression in human subjects. Subsequently QCA was used for the evaluation of anti-atherosclerotic therapies, including lifestyle changes, mechanical revascularization with coronary angioplasty and stenting (including drug-eluting stents), and pharmacologic revascularization with thrombolytic therapies, lipid-lowering therapies, and anti-inflammatory agents. Specifically relating to the lipid-lowering arena, adequately powered, placebo-controlled studies of sufficient duration have demonstrated in parallel: 1) favorable changes in lipid levels, 2) favorable changes in angiographic atherosclerosis (measured as either a reduction in the percent coronary artery stenosis, change in minimal lumen diameter, change in percent progression or regression, or change in global coronary disease scoring), and 3) a reduction in the incidence of cardiovascular events (Brown et al., 1993
; Vos et al., 1993
; Rossouw, 1995
) (Fig. 3).
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Although QCA was once the gold standard for assessing the progression of atherosclerosis in clinical trials, its use has reverted to clinical diagnosis alone for two reasons: 1) the change from film to pixelated digital imagery created a loss of spatial resolution, making it more difficult to detect a treatment effect, particularly when the comparator is an active control, and 2) it is now understood that atherosclerosis is primarily a disease of the vessel wall and not the vessel lumen and that the latter is the only part of the vessel visualized using contrast angiography. It is now accepted that assessing the vessel lumen diameter using QCA provides a very limited look at atherosclerosis burden and only an inferential look at the disease itself. Indeed, a meta-analysis of angiographic studies in patients with CAD and MI revealed that in most instances, subjects who experienced an MI had coronary artery stenoses of <50% luminal narrowing, as measured with angiography. Those patients with coronary artery stenoses >70%, the type of lesions best detected with QCA, are underrepresented in populations with acute MI (Smith, 1996
)
With the development of medical ultrasound, it became possible to evaluate vessel wall structure in both clinical practice and research. Ultrasound in the clinical setting is used to detect pathologic conditions such as aortic aneurysms, peripheral vascular disease of the lower extremities, and carotid artery stenoses in patients with cerebrovascular disease (stroke or transient ischemic attacks) and as echocardiography to evaluate cardiac structure and function. By using high-resolution ultrasound, measurements of vessel wall intima-media thickness and lumen diameter along the axis of the ultrasound beam may be made (Fig. 4). Another important advantage of ultrasound, compared with catheterguided angiography, is its noninvasive nature, permitting serial measures of vessel structure, without exposing patients to risks of vascular injury or ionizing radiation. In recent years, measurement of cIMT by B-mode ultrasound has come to the fore as a quantitative research tool in the study of atherosclerosis (Simon et al., 2002
).
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1 mm, the hazard ratio for CHD events was 5.07 for women [95% confidence interval (CI), 3.088.36] and 1.85 for men (95% CI, 1.282.69). The Rotterdam Study was a single-center, prospective, follow-up study (mean of 2.7 years) in which disease and disability in an elderly Dutch population was monitored (Bots et al., 1997
65 years underwent carotid ultrasound, 4476 of whom had no evidence of clinical CVD (O'Leary et al., 1999
In addition to these studies linking cIMT to atherosclerosis disease risk, a number of important clinical treatment studies have been conducted using cIMT as an endpoint to assess the efficacy of antiatherosclerotic therapies, some of which also included measures of cardiovascular outcome. Espeland et al. (2005
), in a review of cIMT as a surrogate of CVD, conducted a meta-analysis that included seven statin trials (Furberg et al., 1994
; Crouse et al., 1995
; Salonen et al., 1995
; Mercuri et al., 1996
; de Groot et al., 1998
; Hedblad et al., 2001
; Sawayama et al., 2002
). In this analysis, a -0.012 mm/year change in cIMT (95% CI, -0.015 to -0.007) was associated with an odds ratio of 0.48 (95% CI, 0.300.78) for cardiovascular events (Table 2).
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C. Coronary Intravascular Ultrasound
Coronary IVUS represents an emerging vascular imaging modality that is conceptually similar to extravascular ultrasound of the arterial wall. During IVUS, a miniaturized transducer is attached to the tip of a catheter, permitting the acquisition of intravascular images of the vessel wall. The transducer rotates at
1800 rpm, while the catheter is mechanically withdrawn at a fixed rate of 0.5 mm/s, acquiring serial images of vessel wall thickness throughout its 360° circumference. Approximately 30 images/s can be acquired. The data obtained are analyzed by trained readers who, either manually or using semiautomated systems, outline the intimal lining of the vessel lumen and the external elastic membrane that separates the media from the adventitia. The difference between the cross-sectional area (CSA) bordered by the external elastic membrane and the CSA of the vessel lumen represents the vessel wall or atheroma cross-sectional area (Fig. 5). When the multiple vessel wall CSA slices are summed along a vessel segment, the atheroma volume may be calculated. The primary disadvantage of coronary IVUS is that it is an invasive procedure performed at the time of a cardiac catheterization. As such and as with any invasive procedure, there is a small risk of complications including, but not limited to, cardiac rhythm disturbances, vascular injury (such as spasm), thrombosis, dissection, or infection.
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As with carotid ultrasound, a number of studies have used coronary IVUS to assess the efficacy of lipid-altering therapies directed at slowing the progression of atherosclerosis (Takagi et al., 1997
; Schartl et al., 2001
; Nissen et al., 2003
, 2004
, 2006a
,b
; Okazaki et al., 2004
; Tardif et al., 2004
) (Table 3). These studies ranged from 5 weeks to 2 years in duration and enrolled up to 500 participants/study. The most recent studies have used the nominal change in the percent atheroma volume as the primary endpoint. These studies have consistently shown a relationship between the on-treatment level of LDL-C, an accepted surrogate marker of cardiovascular risk, and the nominal change in percent atheroma volume as measured by IVUS (Fig. 9).
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| IV. Correlation between Carotid Intima-Media Thickness, Intravascular Ultrasound, and Clinical Events |
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| V. Circulating Biomarkers |
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| VI. Surrogate Endpoints and Regulatory Approval |
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| VII. Future Prospects: Biomarkers and Surrogate Endpoints |
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It is evident that new investigational paradigms in drug development must be advanced to facilitate both discovery and clinical development, without sacrificing basic regulatory standards of safety and efficacy. There are, however, obstacles to be overcome. Although biomarkers and surrogate endpoints have the potential to bring promising science to the clinic more expeditiously, there is as yet little agreement on the criteria for validating these new entities. The biomarker validation process itself is time-consuming and expensive. Intellectual property issues may also hamper validation. Perhaps the biggest hurdle is the need for stakeholders to agree that clinical investigation is not a perfect science, that uncertainty always has and always will remain at the end of the development process (particularly regarding safety), and that the use of biomarkers and surrogates of efficacy need not necessarily amplify that uncertainty.
In summary, improved knowledge of the pathogenesis of atherosclerosis and of its molecular and anatomic pathology and the wealth of information correlating measures of atherosclerotic burden (obtained either invasively or noninvasively) with clinical disease risk arguably permit better means for assessment of the effects of new cardiovascular drugs than existed previously. It is evident from the discussions now ongoing between industry, government regulators, and academia that there is a shared recognition of the need for the application of new tools in drug development. This general philosophy, applied to atherosclerosis treatment, is critical to addressing the epidemic of CVD.
| Footnotes |
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This article is available online at http://pharmrev.aspetjournals.org.
1 Abbreviations: CVD, cardiovascular disease; MI, myocardial infarction; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; QCA, quantitative coronary angiography; cIMT, carotid intima-media thickness; IVUS, intravascular ultrasound; CAD, coronary artery disease; ARIC, Atherosclerosis Risk in Communities; CI, confidence interval; CHS, Cardiovascular Health Study; CV, cardiovascular; CLAS, Cholesterol Lowering Atherosclerosis Study; PROCAM, Prospective Cardiovascular Münster; SCORE, Systematic Coronary Risk Estimation; ARBITER, Arterial Biology for the Investigation of the Treatment Effects of Reducing Cholesterol; REVERSAL, Reversal of Atherosclerosis with Aggressive Lipid Lowering; CRP, C-reactive protein; PROVE-IT, Pravastatin or Atorvastatin Evaluation and Infection Therapy; TIMI, Thrombolysis in Myocardial Infarction. ![]()
| References |
|---|
|
|
|---|
Abernathy T and Avery O (1941) The occurrence during acute infections of a protein not normally present in the blood. I. Distribution of the reactive protein in patient's sera and the effect of calcium on the flocculation reaction with C-polysaccharide of pneumococcus. J Exp Med 73: 173-182.[Abstract]
Anderson KM, Wilson PW, Odell PM, and Kannel WB (1991) An updated coronary risk profile: a statement for health professionals. Circulation 83: 356-362.
Assmann G, Cullen P, and Schulte H (2002) Simple scoring scheme for calculating the risk of acute coronary events based on the 10-year follow-up of the Prospective Cardiovascular Münster (PROCAM) study. Circulation 105: 310-315.
Blake GJ and Ridker PM (2002) Inflammatory bio-markers and cardiovascular risk prediction. J Intern Med 252: 283-294.[CrossRef][Medline]
Blankenhorn DH, Azen SP, Kramsch DM, Mack WJ, Cashin-Hemphill L, Hodis HN, DeBoer LW, Mahrer PR, Masteller MJ, Vailas LI, et al. (1993a) Coronary angiographic changes with lovastatin therapy: the Monitored Atherosclerosis Regression Study (MARS). Ann Intern Med 119: 969-976.
Blankenhorn DH, Nessim SA, Johnson RL, Sanmarco ME, Azen SP, and Cashin-Hemphill L (1987) Beneficial effects of combined colestipol-niacin therapy on coronary atherosclerosis and coronary venous bypass grafts. J Am Med Assoc 257: 3233-3240.[Abstract]
Blankenhorn DH, Selzer RH, Crawford DW, Barth JD, Liu CR, Liu CH, Mack WJ, and Alaupovic P (1993b) Beneficial effects of colestipol-niacin therapy on the common carotid artery: two- and four-year reduction of intima-media thickness measured by ultrasound. Circulation 88: 20-28.
Boissel JP, Collet JP, Moleur P, and Haugh M (1992) Surrogate endpoints: a basis for a rational approach. Eur J Clin Pharmacol 43: 235-244.[CrossRef][Medline]
Boltax AJ and Fischel EE (1956) Serologic tests for inflammation; serum complement, C-reactive protein and erythrocyte sedimentation rate in myocardial infarction. Am J Med 20: 418-427.[Medline]
Bonithon-Kopp C, Scarabin PY, Taquet A, Touboul PJ, Malmejac A, and Guize L (1991) Risk factors for early carotid atherosclerosis in middle-aged French women. Arterioscler Thromb 11: 966-972.
Bots ML, Hoes AW, Koudstaal PJ, Hofman A, and Grobbee DE (1997) Common carotid intima-media thickness and risk of stroke and myocardial infarction: the Rotterdam Study. Circulation 96: 1432-1437.
Bots ML, Hofman A, de Bruyn AM, de Jong PT, and Grobbee DE (1993) Isolated systolic hypertension and vessel wall thickness of the carotid artery: the Rotterdam Elderly Study. Arterioscler Thromb 13: 64-69.
Brown BG, Zhao XQ, Sacco DE, and Albers JJ (1993) Lipid lowering and plaque regression: new insights into prevention of plaque disruption and clinical events in coronary disease. Circulation 87: 1781-1791.
Brown G, Albers JJ, Fisher LD, Schaefer SM, Lin JT, Kaplan C, Zhao XQ, Bisson BD, Fitzpatrick VF, and Dodge HT (1990) Regression of coronary artery disease as a result of intensive lipid-lowering therapy in men with high levels of apolipoprotein B. N Engl J Med 323: 1289-1298.[Abstract]
Cannon CP, Braunwald E, McCabe CH, Rader DJ, Rouleau JL, Belder R, Joyal SV, Hill KA, Pfeffer MA, and Skene AM (2004) Intensive versus moderate lipid lowering with statins after acute coronary syndromes. N Engl J Med 350: 1495-1504.
Chambless LE, Folsom AR, Clegg LX, Sharrett AR, Shahar E, Nieto FJ, Rosamond WD, and Evans G (2000) Carotid wall thickness is predictive of incident clinical stroke: the Atherosclerosis Risk in Communities (ARIC) study. Am J Epidemiol 151: 478-487.
Chambless LE, Heiss G, Folsom AR, Rosamond W, Szklo M, Sharrett AR, and Clegg LX (1997) Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: the Atherosclerosis Risk in Communities (ARIC) Study, 19871993. Am J Epidemiol 146: 483-494.
Conroy RM, Pyorala K, Fitzgerald AP, Sans S, Menotti A, De Backer G, De Bacquer D, Ducimetiere P, Jousilahti P, Keil U, et al. (2003) Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project. Eur Heart J 24: 987-1003.
Cook NR, Buring JE, and Ridker PM (2006) The effect of including C-reactive protein in cardiovascular risk prediction models for women. Ann Intern Med 145: 21-29.
Crouse JR 3rd, Byington RP, Bond MG, Espeland MA, Craven TE, Sprinkle JW, McGovern ME, and Furberg CD (1995) Pravastatin, lipids, and atherosclerosis in the carotid arteries (PLAC-II). Am J Cardiol 75: 455-459.[CrossRef][Medline]
Cushman M, Arnold AM, Psaty BM, Manolio TA, Kuller LH, Burke GL, Polak JF, and Tracy RP (2005) C-reactive protein and the 10-year incidence of coronary heart disease in older men and women: the cardiovascular health study. Circulation 112: 25-31.
Danesh J, Wheeler JG, Hirschfield GM, Eda S, Eiriksdottir G, Rumley A, Lowe GD, Pepys MB, and Gudnason V (2004) C-reactive protein and other circulating markers of inflammation in the prediction of coronary heart disease. N Engl J Med 350: 1387-1397.
De Backer G, Ambrosioni E, Borch-Johnsen K, Brotons C, Cifkova R, Dallongeville J, Ebrahim S, Faergeman O, Graham I, Mancia G, et al. (2003) European guidelines on cardiovascular disease prevention in clinical practice: executive summary. Third Joint Task Force of European and Other Societies on Cardiovascular Disease Prevention in Clinical Practice. Eur Heart J 24: 1601-1610.
de Groot E, Jukema JW, Montauban van Swijndregt AD, Zwinderman AH, Ackerstaff RG, van der Steen AF, Bom N, Lie KI, and Bruschke AV (1998) B-mode ultrasound assessment of pravastatin treatment effect on carotid and femoral artery walls and its correlations with coronary arteriographic findings: a report of the Regression Growth Evaluation Statin Study (REGRESS). J Am Coll Cardiol 31: 1561-1567.
Dormandy J, Heeck L, and Vig S (1999) Lower-extremity arteriosclerosis as a reflection of a systemic process: implications for concomitant coronary and carotid disease. Semin Vasc Surg 12: 118-122.[Medline]
Espeland MA, O'Leary DH, Terry JG, Morgan T, Evans G, and Mudra H (2005) Carotid intimal-media thickness as a surrogate for cardiovascular disease events in trials of HMG-CoA reductase inhibitors. Curr Control Trials Cardiovasc Med 6: 3.[CrossRef][Medline]
Furberg CD, Adams HP Jr, Applegate WB, Byington RP, Espeland MA, Hartwell T, Hunninghake DB, Lefkowitz DS, Probstfield J, Riley WA, et al. (1994) Effect of lovastatin on early carotid atherosclerosis and cardiovascular events: Asymptomatic Carotid Artery Progression Study (ACAPS) Research Group. Circulation 90: 1679-1687.
Hansson GK (2005) Inflammation, atherosclerosis, and coronary artery disease. N Engl J Med 352: 1685-1695.
Hedblad B, Wikstrand J, Janzon L, Wedel H, and Berglund G (2001) Low-dose metoprolol CR/XL and fluvastatin slow progression of carotid intima-media thickness: main results from the Beta-Blocker Cholesterol-Lowering Asymptomatic Plaque Study (BCAPS). Circulation 103: 1721-1726.
Heiss G, Sharrett AR, Barnes R, Chambless LE, Szklo M, and Alzola C (1991) Carotid atherosclerosis measured by B-mode ultrasound in populations: associations with cardiovascular risk factors in the ARIC study. Am J Epidemiol 134: 250-256.
Herd JA, Ballantyne CM, Farmer JA, Ferguson JJ 3rd, Jones PH, West MS, Gould KL, and Gotto AM Jr (1997) Effects of fluvastatin on coronary atherosclerosis in patients with mild to moderate cholesterol elevations (Lipoprotein and Coronary Atherosclerosis Study [LCAS]). Am J Cardiol 80: 278-286.[CrossRef][Medline]
Hertog MG (2006) Workshop on CV prevention with a focus on metabolic syndrome and surrogate markers: Taskforce 1 of the Cardiovascular Round Table, European Society of Cardiology: executive summary report. Eur Heart J 27: 114-115.
Hodis HN, Mack WJ, LaBree L, Selzer RH, Liu CR, Liu CH, and Azen SP (1998) The role of carotid arterial intima-media thickness in predicting clinical coronary events. Ann Intern Med 128: 262-269.
Jukema JW, Bruschke AV, van Boven AJ, Reiber JH, Bal ET, Zwinderman AH, Jansen H, Boerma GJ, van Rappard FM, Lie KI, et al. (1995) Effects of lipid lowering by pravastatin on progression and regression of coronary artery disease in symptomatic men with normal to moderately elevated serum cholesterol levels: the Regression Growth Evaluation Statin Study (REGRESS). Circulation 91: 2528-2540.
Khot UN, Khot MB, Bajzer CT, Sapp SK, Ohman EM, Brener SJ, Ellis SG, Lincoff AM, and Topol EJ (2003) Prevalence of conventional risk factors in patients with coronary heart disease. J Am Med Assoc 290: 898-904.
Koenig W, Lowel H, Baumert J, and Meisinger C (2004) C-reactive protein modulates risk prediction based on the Framingham Score: implications for future risk assessment: results from a large cohort study in southern Germany. Circulation 109: 1349-1353.
Multicentre Anti-Atheroma Study (1994) Effect of simvastatin on coronary atheroma: The Multicentre Anti-Atheroma Study (MAAS). Lancet 344: 633-638.[CrossRef][Medline]
Mercuri M, Bond MG, Sirtori CR, Veglia F, Crepaldi G, Feruglio FS, Descovich G, Ricci G, Rubba P, Mancini M, et al. (1996) Pravastatin reduces carotid intimamedia thickness progression in an asymptomatic hypercholesterolemic Mediterranean population: the Carotid Atherosclerosis Italian Ultrasound Study. Am J Med 101: 627-634.[CrossRef][Medline]
Miller M, Zhan M, and Havas S (2005) High attributable risk of elevated C-reactive protein level to conventional coronary heart disease risk factors: the Third National Health and Nutrition Examination Survey. Arch Intern Med 165: 2063-2068.
Mitchell JR and Schwartz CJ (1962) Relationship between arterial disease in different sites: a study of the aorta and coronary, carotid, and iliac arteries. Br Med J 5288: 1293-1301.
Mora S and Ridker PM (2006) Justification for the Use of Statins in Primary Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) can C-reactive protein be used to target statin therapy in primary prevention? Am J Cardiol 97: 33A-41A.[CrossRef][Medline]
National Cholesterol Education Program Adult Treatment Panel (2002) 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 106: 3143-3421.
Nissen SE, Nicholls SJ, Sipahi I, Libby P, Raichlen JS, Ballantyne CM, Davignon J, Erbel R, Fruchart JC, Tardif JC, et al. (2006a) Effect of very high-intensity statin therapy on regression of coronary atherosclerosis: the ASTEROID trial. JAmMed Assoc 295: 1556-1565.
Nissen SE, Tsunoda T, Tuzcu EM, Schoenhagen P, Cooper CJ, Yasin M, Eaton GM, Lauer MA, Sheldon WS, Grines CL, et al. (2003) Effect of recombinant ApoA-I Milano on coronary atherosclerosis in patients with acute coronary syndromes: a randomized controlled trial. J Am Med Assoc 290: 2292-2300.
Nissen SE, Tuzcu EM, Brewer HB, Sipahi I, Nicholls SJ, Ganz P, Schoenhagen P, Waters DD, Pepine CJ, Crowe TD, et al. (2006b) Effect of ACAT inhibition on the progression of coronary atherosclerosis. N Engl J Med 354: 1253-1263.
Nissen SE, Tuzcu EM, Schoenhagen P, Brown BG, Ganz P, Vogel RA, Crowe T, Howard G, Cooper CJ, Brodie B, et al. (2004) Effect of intensive compared with moderate lipid-lowering therapy on progression of coronary atherosclerosis: a randomized controlled trial. J Am Med Assoc 291: 1071-1080.
Nissen SE, Tuzcu EM, Schoenhagen P, Crowe T, Sasiela WJ, Tsai J, Orazem J, Magorien RD, O'Shaughnessy C, and Ganz P (2005) Statin therapy, LDL cholesterol, C-reactive protein, and coronary artery disease. N Engl J Med 352: 29-38.
Okazaki S, Yokoyama T, Miyauchi K, Shimada K, Kurata T, Sato H, and Daida H (2004) Early statin treatment in patients with acute coronary syndrome: demonstration of the beneficial effect on atherosclerotic lesions by serial volumetric intravascular ultrasound analysis during half a year after coronary event: the ESTABLISH Study. Circulation 110: 1061-1068.
O'Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, and Wolfson SK Jr (1999) 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 340: 14-22.
Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO 3rd, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL, et al. (2003) 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 107: 499-511.
Pitt B, Mancini GB, Ellis SG, Rosman HS, Park JS, and McGovern ME (1995) Pravastatin limitation of atherosclerosis in the coronary arteries (PLAC I): reduction in atherosclerosis progression and clinical events. PLAC I investigation. JAm Coll Cardiol 26: 1133-1139.[Abstract]
Prati F, Arbustini E, Labellarte A, Dal Bello B, Sommariva L, Mallus MT, Pagano A, and Boccanelli A (2001) Correlation between high frequency intravascular ultrasound and histomorphology in human coronary arteries. Heart 85: 567-570.
Psaty BM, Furberg CD, Kuller LH, Borhani NO, Rautaharju PM, O'Leary DH, Bild DE, Robbins J, Fried LP, and Reid C (1992) Isolated systolic hypertension and subclinical cardiovascular disease in the elderly: initial findings from the Cardiovascular Health Study. J Am Med Assoc 268: 1287-1291.[Abstract]
Ridker PM, Cannon CP, Morrow D, Rifai N, Rose LM, McCabe CH, Pfeffer MA, and Braunwald E (2005) C-reactive protein l