Data markers and error bars indicate least-square means and 95% confidence intervals, respectively, for body weight, waist circumference, HDL-C, and HbA1c and medians and interquartile ranges for triglycerides and fasting insulin. SI conversion factors; To convert HDL-C values to mmol/L, multiply by 0.0259; triglyceride values to mmol/L, by 0.0113.
P values shown are for subgroup interaction. Values in parentheses in “baseline characteristics” column indicate median value for each characteristic. CI indicates confidence interval; CRP, C-reactive protein; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; LS, least-square; PAV, percent atheroma volume.
CI indicates confidence interval; HR, hazard ratio.
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Nissen SE, Nicholls SJ, Wolski K, et al. Effect of Rimonabant on Progression of Atherosclerosis in Patients With Abdominal Obesity and Coronary Artery Disease: The STRADIVARIUS Randomized Controlled Trial. JAMA. 2008;299(13):1547–1560. doi:10.1001/jama.299.13.1547
Context Abdominal obesity is associated with metabolic abnormalities and increased risk of atherosclerotic cardiovascular disease. However, no obesity management strategy has demonstrated the ability to slow progression of coronary disease.
Objective To determine whether weight loss and metabolic effects of the selective cannabinoid type 1 receptor antagonist rimonabant reduces progression of coronary disease in patients with abdominal obesity and the metabolic syndrome.
Design, Setting, and Patients Randomized, double-blinded, placebo-controlled, 2-group, parallel-group trial (enrollment December 2004-December 2005) comparing rimonabant with placebo in 839 patients at 112 centers in North America, Europe, and Australia.
Interventions Patients received dietary counseling, were randomized to receive rimonabant (20 mg daily) or matching placebo, and underwent coronary intravascular ultrasonography at baseline (n = 839) and study completion (n = 676).
Main Outcome Measures The primary efficacy parameter was change in percent atheroma volume (PAV); the secondary efficacy parameter was change in normalized total atheroma volume (TAV).
Results In the rimonabant vs placebo groups, PAV (95% confidence interval [CI]) increased 0.25% (−0.04% to 0.54%) vs 0.51% (0.22% to 0.80%) (P = .22), respectively, and TAV decreased 2.2 mm3 (−4.09 to −0.24) vs an increase of 0.88 mm3 (−1.03 to 2.79) (P = .03). In the rimonabant vs placebo groups, imputing results based on baseline characteristics for patients not completing the trial, PAV increased 0.25% (−0.04% to 0.55%) vs 0.57% (0.29% to 0.84%) (P = .13), and TAV decreased 1.95 mm3 (−3.8 to −0.10) vs an increase of 1.19 mm3 (−0.73 to 3.12) (P = .02). Rimonabant-treated patients had a larger reduction in body weight (4.3 kg [−5.1 to −3.5] vs 0.5 kg [−1.3 to 0.3]) and greater decrease in waist circumference (4.5 cm [−5.4 to −3.7] vs 1.0 cm [−1.9 to −0.2]) (P < .001 for both comparisons). In the rimonabant vs placebo groups, high-density lipoprotein cholesterol levels increased 5.8 mg/dL (4.9 to 6.8) (22.4%) vs 1.8 mg/dL (0.9 to 2.7) (6.9%) (P < .001), and median triglyceride levels decreased 24.8 mg/dL (−35.4 to −17.3) (20.5%) vs 8.9 mg/dL (−14.2 to −1.8) (6.2%) (P < .001). Rimonabant-treated patients had greater decreases in high-sensitivity C-reactive protein (1.3 mg/dL [−1.7 to −1.2] [50.3%] vs 0.9 mg/dL [−1.4 to −0.5] [30.9%]) and less increase in glycated hemoglobin levels (0.11% [0.02% to 0.20%] vs 0.40% [0.31% to 0.49%]) (P < .001 for both comparisons). Psychiatric adverse effects were more common in the rimonabant group (43.4% vs 28.4%, P < .001).
Conclusions After 18 months of treatment, the study failed to show an effect for rimonabant on disease progression for the primary end point (PAV) but showed a favorable effect on the secondary end point (TAV). Determining whether rimonabant is useful in management of coronary disease will require additional imaging and outcomes trials, which are currently under way.
Trial Registration clinicaltrials.gov Identifier: NCT00124332
Trial Registration Published online April 1, 2008 (doi:10.1001/jama.299.13.1547).
Obesity has reached epidemic proportions in many developed countries, particularly the United States, where 66% of the adult population is considered overweight and 34% are obese, defined as a body mass index greater than 30.1,2 Epidemiologists predict that the epidemic of obesity and its public health consequences will continue to increase over the next several decades, affecting both the developed and developing worlds.3,4 An abdominal pattern of fat distribution produces the most profound metabolic abnormalities and is associated with an increased risk of atherosclerotic cardiovascular disease.5-11 Metabolic and physiologic abnormalities associated with abdominal obesity include an increased incidence of type 2 diabetes or impaired glucose tolerance, hypertension, reduced levels of high-density lipoprotein cholesterol (HDL-C), and increased levels of triglycerides and biomarkers of systemic inflammation.9-11
Few strategies for management of obesity have yielded long-term success. Accordingly, there exists considerable interest in developing new pharmacological approaches to treatment of abdominal obesity and its metabolic consequences. One promising approach is inhibition of the cannabinoid type 1 (CB1) receptors, which are present in both the central nervous system and peripheral tissues.12 Inhibition of CB1 receptors results in reduced food intake and decreased body weight and produces metabolic effects that include an increase in HDL-C levels and reductions in levels of triglycerides, high-sensitivity C-reactive protein (hsCRP), and glycated hemoglobin (HbA1c) in patients with diabetes.13-16
The first CB1 antagonist to reach the market is rimonabant, which is available in several countries but has not yet been approved by the US Food and Drug Administration (FDA). In June 2007, an FDA panel did not recommend approval of rimonabant pending clarification of safety issues, primarily psychiatric adverse effects, including anxiety and depression.17,18
Atherosclerosis progression is increased by various individual risk factors, including elevated levels of total or low-density lipoprotein cholesterol (LDL-C) and triglycerides, low levels of HDL-C, high systolic blood pressure, and diabetes.19-24 Since a decrease in body weight and reduction in waist circumference are associated with favorable changes in the lipid profile, insulin sensitivity, and levels of hsCRP,25,26 we sought to determine if administration of the CB1 antagonist rimonabant could reduce the progression of coronary atherosclerosis in abdominally obese patients with the metabolic syndrome and preexisting coronary disease. The Strategy to Reduce Atherosclerosis Development Involving Administration of Rimonabant—The Intravascular Ultrasound Study (STRADIVARIUS) used ultrasonographic coronary imaging to assess atherosclerosis progression. In recent years, this imaging modality has been commonly used in the serial assessment of atherosclerotic disease burden.19
The STRADIVARIUS trial was a prospective, multicenter, multinational, randomized, double-blinded, placebo-controlled, 2-group, parallel-group study. The trial involved 112 centers in North America (United States and Canada), Europe, and Australia. The institutional review boards of all participating centers approved the protocol, and all patients provided written informed consent.
Patients were eligible only if they also required coronary angiography for a clinical indication, which most often consisted of ischemic chest pain or an abnormal finding on a functional study, such as exercise testing or nuclear scintigraphy. Patients were eligible if they were 18 years of age or older, had a waist circumference greater than 88 cm (34.6 inches) for women or 102 cm (40.2 inches) for men, and either met prespecified criteria for the presence of the metabolic syndrome or were current smokers. The metabolic syndrome was defined as 2 or more of the following risk factors: triglyceride level greater than 150 mg/dL (to convert to millimoles per liter, multiply by 0.0113); HDL-C level less than 40 mg/dL (men) or 50 mg/dL (women) (to convert to millimoles per liter, multiply by 0.0259); fasting plasma glucose level greater than 110 mg/dL (to convert to millimoles per liter, multiply by 0.0555); or high blood pressure, defined as 140/90 mm Hg or greater or current use of antihypertensive medications. Current smoking was defined as consumption of more than 10 cigarettes per day. Patient eligibility required the clinically indicated angiogram to demonstrate at least 1 coronary obstruction with greater than 20% angiographic luminal diameter narrowing.
Major exclusion criteria included previous weight loss surgery, uncontrolled diabetes (defined as HbA1c level >10%), or a urine test result positive for tetrahydrocannabinol. Concomitant administration of other weight loss agents such as orlistat or sibutramine at baseline and during the trial was prohibited. To assess the safety of rimonabant in a broad population, the study intentionally did not exclude patients with a prior history of psychiatric disorders.
Race/ethnicity was assessed by the investigator or study coordinator. This information was collected to determine whether the response to therapy (efficacy and safety) differed among individuals with different racial or ethnic backgrounds.
Prior publications have described the methods for intravascular ultrasound (IVUS) examination of the coronary arteries.19-24,27,28 A single artery was selected for IVUS examination, generally the longest and least angulated major epicardial vessel. This artery must not have undergone prior revascularization, nor have greater than 50% luminal narrowing throughout a segment with a minimum length of 30 mm. Intracoronary nitroglycerin was administered to prevent vasospasm and standardize vessel tonicity. An ultrasonography catheter (Atlantis; Boston Scientific Scimed Inc, Maple Grove, Minnesota) was advanced into the target vessel and the imaging transducer positioned distal to an angiographically identifiable side branch.
The operator selected a starting point for the IVUS examination located as far distally as could be safely reached, to provide the longest possible vessel segment for quantitative analysis. Subsequently, the operator activated a motor drive that withdrew the transducer at a translation velocity of 0.5 mm/s. During this pullback, images were obtained at 30 frames/s and recorded on analog videotape. The study was screened for image quality in a core laboratory at the Cleveland Clinic, and only patients meeting prespecified image quality requirements were eligible for inclusion in the study.
Following successful IVUS examination, all patients were scheduled for a randomization visit occurring within 2 weeks after baseline IVUS. During this visit, they were randomly assigned to receive either rimonabant, 20 mg daily, or a matching placebo, for 18 to 20 months. At the time of randomization, patients were referred to a dietician for instruction on a moderate reduced-calorie diet and, if appropriate, were counseled on smoking cessation. Investigators were instructed to institute appropriate risk factor modification according to local guidelines. The patients returned for scheduled clinic visits at baseline and at 3, 6, 12, and 18 months following randomization. Local laboratories performed routine biochemical measurements, and a central laboratory performed measurement of specialized biomarkers (Laval Hospital Laboratory, Quebec City, Quebec, Canada).
After an 18- to 20-month treatment period, actively participating patients underwent repeat IVUS examination, regardless of whether they continued to take study drug (intent-to-treat approach). If a patient required coronary angiography for a clinical indication between 12 and 18 months following enrollment, an end-of-study IVUS examination was performed to avoid subjecting patients to an additional invasive procedure at the final 18-month visit. During the follow-up study, IVUS examination was repeated using a motorized pullback procedure identical to that used in the initial study, beginning just distal to the originally selected distal side branch. This procedure was designed to obtain a series of cross-sectional images at sites identical to those in the original examination.
The patients and all study personnel were blinded to treatment assignment. The randomization was performed using an interactive voice response system that used a preestablished randomization code of randomly permuted blocks. The study specified a balanced (1:1) treatment allocation, stratified by center.
Images were analyzed in a core laboratory dedicated to measurement of IVUS studies. For each pullback sequence, a technician began analysis at the distal branch site originally selected by the investigator and continued by analyzing every 60th image in the sequence. Because the pullback speed was 0.5 mm/s, this procedure identified cross-sections spaced exactly 1.0 mm apart. Intravascular ultrasound measurements were performed in accordance with the standards of the American College of Cardiology and European Society of Cardiology.29 Using customized software (ImageJ version 1.29w; National Institutes of Health, Bethesda, Maryland), the technician performed a calibration by measuring 1-mm grid marks in the image. Manual planimetry was used to trace the leading edges of the luminal and external elastic membrane (EEM) borders. Previous reports have established the accuracy and reproducibility of this method.30
The primary efficacy parameter, percent atheroma volume (PAV), was calculated as:
PAV = [∑(EEMCSA − LUMENCSA)/∑EEMCSA] × 100, where EEMCSA is the EEM cross-sectional area and LUMENCSA is the luminal cross-sectional area.
A secondary efficacy parameter, normalized total atheroma volume (TAV), was calculated by first determining the mean atheroma area per cross-section as:
Mean atheroma area = ∑(EEMCSA − LUMENCSA)/n, where EEMCSA is the EEM cross-sectional area, LUMENCSA is the luminal cross-sectional area, and n is the number of matched evaluable cross-sections in the pullback at baseline and follow-up.
Normalized TAV for each patient was calculated as the mean atheroma area multiplied by the median number of matched cross-sections in pullbacks for all patients completing the trial. This procedure adjusts for pullbacks with differing numbers of measured cross-sections, resulting in an equal weighting of each individual patient in computing efficacy results.
Percent atheroma volume was selected as the primary efficacy parameter because this end point has exhibited the least variability in multiple previous IVUS trials for a diverse set of therapeutic interventions.20-24
Two additional exploratory IVUS efficacy measures were calculated, the change in average maximum atheroma thickness and the change in atheroma volume in the most diseased 10-mm subsegment. Although not prespecified, both of these end points have been used in previous IVUS trials and were assessed to provide additional insight into the effects of rimonabant on coronary atherosclerosis.
Although the study was not powered to assess clinical outcomes, patients underwent follow-up for occurrence of major cardiovascular adverse events including myocardial infarction, stroke, cardiovascular death, and hospitalization for unstable angina, revascularization (surgical or via percutaneous intervention), or transient ischemic attack. The protocol specified inclusion of events beginning with first administration of study drug, with patients censored at the last known date of any contact. Other adverse events were assessed from first administration of study drug until 75 days following the final administration of study drug. All adverse events were investigator-reported using the standardized Medical Dictionary for Regulatory Activities.
After initiation of the trial, evolving data from other rimonabant studies indicated a potential for neurologic and psychiatric adverse events. Accordingly, a detailed questionnaire was developed and added to the patient assessment performed by personnel at each site during all subsequent study-related visits to standardize reporting (protocol amendment dated September 30, 2005).
The study protocol and statistical analysis plan specified that the primary efficacy analysis include all randomized patients with an evaluable IVUS examination result both at baseline and after 12 or more months of treatment, regardless of whether the patient actually received study drug or complied with the study protocol (modified intent-to-treat approach including patients with evaluable baseline and follow-up IVUS results). The statistical analysis plan defined tests of normality for the efficacy parameters and specified nonparametric testing if the data were not normally distributed. Safety analyses included all patients who received at least 1 dose of study drug.
The primary efficacy parameter, the change in PAV, was analyzed using an analysis of covariance model, with treatment as a fixed effect and baseline as a covariate. The interaction between baseline value and treatment were also evaluated. A sensitivity analysis was performed using a multiple imputation procedure (PROC MI in SAS) to impute the IVUS end points for those who did not have follow-up IVUS performed. Changes in laboratory parameters were analyzed using a mixed model for repeated measures with terms for baseline value, treatment, visit, and the interaction between treatment and visit. Least-square means (95% confidence intervals [CIs]) are reported.
Power calculations assumed a treatment difference of 1.3% with a common SD of 4.9%, based on the outcomes for a previous IVUS trial comparing intensive vs moderate lipid lowering.23 These assumptions provided 90% power for a sample size of 300 evaluable patients per treatment group. Invasive regression-progression trials routinely enroll excess patients to account for failure to obtain follow-up examinations in all patients. Based on prior experience, the STRADIVARIUS trial assumed that 25% of patients would not complete a final IVUS examination. Accordingly, the protocol specified randomization of 800 patients (400 per study group) to account for noncompleters. Analyses were performed using SAS Version 8.2 (SAS Institute, Cary, North Carolina).
Between December 2004 and December 2005, 1949 patients were screened at 126 sites in the United States, Canada, Europe, and Australia. The flow of patients in the trial is reported in Figure 1, including reasons for screening failures and noncompletion. Of the screened patients, 839 met all inclusion and exclusion criteria, including an acceptable baseline IVUS examination, and received study drug at 112 centers. A total of 676 patients had evaluable IVUS examinations at baseline and after the prespecified minimum of 320 days of follow-up.
Baseline demographic characteristics and concomitant medications for the 839 randomized patients are reported in Table 1. There were no major differences in baseline characteristics for the 676 patients who had evaluable IVUS examinations at both time points and the 163 patients who did not complete IVUS assessment (data not shown). On average, patients were younger than 60 years; approximately two-thirds were men. Patients were abdominally obese, with a mean waist circumference of approximately 117 cm (46 in) and a mean body mass index of 35 (calculated as weight in kilograms divided by height in meters squared). A high percentage of patients had obesity-related comorbid conditions specified in the inclusion criteria, including hypertension and dyslipidemia. There were no significant differences in baseline characteristics for patients randomized to the 2 treatment groups.
Table 2 summarizes laboratory values, body weight, waist circumference, and blood pressure at baseline and follow-up for the 676 patients who had evaluable baseline and follow-up IVUS examinations and who contributed to the efficacy analysis. Patients randomized to rimonabant lost more weight and experienced a greater reduction in waist circumference compared with placebo-treated patients. Compared with placebo, there were also significant differences in the reduction in triglyceride and hsCRP levels, elevation of HDL-C levels, and change in levels of HbA1c and insulin. However, LDL-C levels and blood pressure changes did not differ significantly between treatment groups. The changes over time in weight, waist circumference, and levels of HDL-C, triglycerides, insulin, and HbA1c are illustrated in Figure 2. These data show significant differences in levels of HDL-C, triglycerides, hsCRP, HbA1c, and insulin in the rimonabant treatment group at both 12 and 18 months following randomization.
Table 3 reports the results for the IVUS analyses, showing baseline values, follow-up values, and changes from baseline during the study. The least-square mean (95% CI) change in the primary efficacy parameter, PAV, was 0.51% (0.22% to 0.80%) in the placebo group and 0.25% (−0.04% to 0.54%) in the rimonabant group (P = .22). The least-square mean (95% CI) change in the prespecified secondary efficacy parameter, normalized TAV, was 0.88 mm3 (−1.03 to 2.79) in the placebo group and −2.2 mm3 (−4.09 to −0.24) in the rimonabant group (P = .03). The −2.2-mm3 change from baseline in TAV in the rimonabant group was statistically significant (P = .03).
Figure 3 reports the results for the primary efficacy parameter in a variety of subgroups. Although most categories showed no heterogeneity, 2 subgroups showed statistically significant interactions. For patients not taking a statin at baseline, change in PAV was larger in the placebo group compared with the rimonabant group (least-square mean difference [95% CI], −1.31 [−2.29 to −0.33]), whereas patients taking a statin showed similar results in both treatment groups (least-square mean difference [95% CI], −0.06 [−0.51 to 0.39]) (P = .03 for subgroup interaction).
There was also a subgroup interaction for patients dichotomized by baseline triglyceride levels. For patients with median triglyceride levels (≥140.0 mg/dL), the least-square mean (95% CI) treatment difference was −0.77 (−1.35 to −0.18) favoring rimonabant, whereas patients with triglyceride levels less than median at baseline showed no treatment difference (0.16% [−0.40 to 0.72]) (P = .03 for subgroup interaction).
Because the primary and secondary end points showed differing results, exploratory analyses were performed for additional efficacy parameters used in previous IVUS studies. The least-square mean (95% CI) change in mean maximum atheroma thickness increased 0.01 mm (0.006 to 0.020) in the placebo group and decreased 0.0006 mm (−0.008 to 0.007) in the rimonabant group (P = .01). The change in atheroma volume in the 10-mm most severely diseased subsegment decreased 0.89 mm3 (−1.791 to 0.018) for placebo and 1.47 mm3 (−2.36 to −0.59) for rimonabant (P = .37).
To determine the potential influence of patients randomized in the trial who did not complete IVUS assessment, we performed a post hoc sensitivity analysis in which values were imputed for noncompleters based on their baseline characteristics. The imputation technique assigned changes in these efficacy end points for each noncompleter based on the patient's baseline characteristics, including demographics, laboratory values, and baseline atheroma volumes. For the primary efficacy parameter, PAV, the placebo group showed a mean (95% CI) increase of 0.57% (0.29% to 0.84%), vs 0.25% (−0.04% to 0.55%) for the rimonabant group (P = .13). For the prespecified secondary efficacy parameter, TAV, the placebo group showed a mean (95% CI) increase of 1.19 mm3 (−0.73 to 3.12), vs −1.95 mm3 (−3.8 to −0.10) for the rimonabant group (P = .02).
Table 4 reports the incidence of major cardiovascular adverse events, the most common treatment-emergent adverse events, and the most common reasons for discontinuation of study drug as a result of adverse events. The composite outcome of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina, revascularization, or transient ischemic attack occurred in 46 placebo-treated patients (11%) and 44 rimonabant-treated patients (10.4%) (P = .79). The individual components of this end point did not show any consistent pattern suggesting differences between placebo and rimonabant. Eight deaths (2 cardiovascular and 6 noncardiovascular) occurred in placebo-treated patients, and 2 (noncardiovascular) occurred in rimonabant-treated patients (P = .06) (Table 4).
The most common treatment-emergent adverse events included psychiatric disorders, which occurred in 118 placebo-treated patients (28.4%) and 183 rimonabant-treated patients (43.4%) (P < .001). These adverse events consisted primarily of an increase in anxiety and depression. Severe psychiatric adverse effects, defined as major depression, suicidal ideation, or attempted or successful suicide occurred with similar frequency in the placebo- and rimonabant-treated patients (3.8% vs 4.7%, respectively; P = .52). A single patient in the placebo group attempted suicide, and a single patient in the rimonabant group successfully completed suicide. Gastrointestinal tract disorders also showed an imbalance between the 2 groups, occurring in 74 placebo-treated patients (17.8%) and 142 rimonabant-treated patients (33.6%) (P < .001). Adverse events were more likely to lead to drug discontinuation in the rimonabant-treated patients compared with placebo-treated patients (74 [17.5%] vs 31 [7.5%], P < .001). The cumulative rates of drug discontinuation are shown in Figure 4.
Abdominal obesity, even in the absence of type 2 diabetes, is associated with a constellation of metabolic and physiological abnormalities that amplify the risk for atherosclerotic cardiovascular disease.11 The most relevant risk factors related to abdominal obesity include hypertension, low levels of HDL-C, increased levels of triglycerides and hsCRP, and impaired glucose tolerance. In recent years, this clustering of these risk factors has been termed the metabolic syndrome and is now recognized by guidelines as a secondary target for management of patients at high cardiovascular risk.31,32
Although specific pharmacological agents are effective at treating the individual components of the metabolic syndrome, few treatment options exist that directly address the underlying pathophysiology of this disorder, specifically abdominal obesity. One promising approach is based on the central and peripheral effects produced by inhibition of CB1 receptors. The first of these agents to successfully reach the market, rimonabant, has been shown to reduce body weight and diminish abdominal obesity, while improving several components of the metabolic syndrome.13-16
We sought to determine whether rimonabant would slow the progression of coronary disease in abdominally obese patients with preexisting coronary disease. Administration of rimonabant, 20 mg daily, for 18 months did not significantly reduce the rate of progression of coronary disease for the primary IVUS end point, the change in PAV. However, the secondary end point, change in TAV, showed a statistically significant treatment effect favoring rimonabant. Because of the differing extent of rimonabant effects for the primary and secondary end points, we performed additional post hoc exploratory analyses using other efficacy measures commonly used in IVUS trials. The change in the mean maximum atheroma thickness was favorably affected by rimonabant. However, the change in atheroma volume in the most diseased 10-mm subsegment showed no significant difference between treatments.
Accordingly, although the trial failed to achieve significance for the primary end point, it did demonstrate favorable effects for other IVUS end points. These observations suggest that the strategy of using a CB1 antagonist to reduce progression of coronary disease may be useful but will require further study to confirm an antiatherosclerotic effect.
There is no obvious explanation for the divergence in the primary and secondary IVUS end points, although it should be noted that PAV has proven the most reliable end point in previous studies examining LDL-C reduction with statins. However, the effects of rimonabant do not include LDL-C lowering but, rather, involve reductions in body weight and waist circumference, increases in HDL-C levels, and reductions in levels of insulin and hsCRP. The responses of blood vessels to antiatherosclerotic therapies are complex and involve changes in both atheroma and EEM volumes. The PAV represents the ratio of atheroma volume to EEM volume, whereas TAV is solely a measure of change in atheroma volume. Conceivably, the mechanism of action of rimonabant produces effects on the atheroma and EEM volume different from those observed previously with statin therapy. More study is needed to determine if therapies that increase HDL-C levels act differently on vessel wall components than agents that lower LDL-C levels.
Although rimonabant has been approved in several countries, an FDA Advisory Panel did not recommend approval and requested additional safety data on psychiatric adverse effects.17 In the current trial, to more fully characterize the safety of rimonabant in a broad population, we deliberately enrolled patients whether or not they had a history of psychiatric illness. In addition, we amended the protocol to include a questionnaire designed to standardize reporting of these adverse effects. Our findings confirm that inhibition of CB1 receptors with rimonabant does increase psychiatric and gastrointestinal tract adverse effects, specifically anxiety, depression, and nausea. The inclusion of patients with a history of psychiatric illness and the use of a questionnaire increased the rate of reported psychiatric disorders in the placebo and rimonabant groups compared with prior studies. Although these adverse effects resulted in an increase in drug discontinuations, 73% of patients were able to successfully complete 18 months of rimonabant therapy, compared with 84% in the placebo group.
Severe psychiatric adverse effects, including major depression, suicidal ideation, and attempted or successful suicide were relatively uncommon, occurring with similar frequency in the placebo- and rimonabant-treated patients (3.8% vs 4.7%, respectively; P = .52). However, the study was not powered to assess severe psychiatric effects. One placebo-treated patient attempted suicide, and a single rimonabant-treated patient completed suicide. In interpreting these data, it should be noted that obesity and body weight reduction have been linked to an increased incidence of depression.33 Overall, our findings demonstrate that rimonabant is associated with an increase in psychiatric symptoms.
The effects of rimonabant on body weight, waist circumference, and levels of serum lipids, hsCRP, and HbA1c observed in the STRADIVARIUS trial were similar in magnitude to previous studies conducted using this agent.13-16 These included a 4.3-kg reduction in body weight, an 4.5-cm reduction in waist circumference, a 22.4% increase in HDL-C levels, and a 20.5% reduction in triglyceride levels (Table 2 and Figure 2). These changes were maintained for the 18-month duration of the trial (Figure 2).
An important question is why these changes did not result in a more robust reduction in the rate of progression of coronary atherosclerosis. One potential explanation is the high rates of administration of other beneficial therapies in the study population. More than 80% of patients were receiving statins at baseline and during the trial, with mean on-treatment LDL-C levels averaging approximately 87 mg/dL. Prior IVUS studies have demonstrated that LDL-C levels are a very strong predictor of progression rates.21,23,24 It has been challenging to demonstrate an incremental benefit on a background of optimal medical therapy, particularly in patients with well-controlled LDL-C levels.27,28 The relatively short duration of therapy also may represent a factor limiting the extent of benefit. It also remains possible that the biological effects of rimonabant are insufficient to produce an antiatherosclerotic benefit.
We performed analyses of outcomes in various subgroups in the current study (Figure 3). These analyses were not prespecified. Such analyses are always considered exploratory and hypothesis-generating but may offer insights into populations with a greater or lesser apparent benefit. Two of these subgroups exhibited statistically significant heterogeneity—patients taking statins compared with those not taking statins and patients with triglyceride levels above or below the median. The more substantial benefit observed in patients not taking statins suggests that rimonabant and statin treatment may have exhibited overlapping benefits. The more favorable results in the subgroup with elevated triglyceride levels suggest that patients with the greatest metabolic abnormalities may be afforded the greatest benefits of CB1 antagonist therapy. Further clarification of these hypotheses will require additional post hoc analyses, including a multivariate analysis of the factors influencing outcomes.
Because the current study failed to achieve a statistically significant effect for the primary efficacy measure, additional studies will be required to further define the role of rimonabant in the treatment of abdominally obese patients with coronary disease and metabolic risk factors. Two placebo-controlled randomized trials are currently under way, the Atherosclerosis Underlying Development Assessed by Intima-Media Thickness in Patients on Rimonabant (AUDITOR)
study (clinicaltrials.gov Identifier: NCT00228176) and the Comprehensive Rimonabant Evaluation Study of Cardiovascular Endpoints and Outcomes (CRESCENDO)
trial (clinicaltrials.gov Identifier: NCT00263042). AUDITOR is a 24-month study of the effects of rimonabant on carotid intimal-medial thickness, and CRESCENDO is a long-term cardiovascular outcomes trial in 17 000 patients with a high risk for cardiovascular events.
The current study has several important limitations. The study included a narrow population, specifically patients with at least 1 coronary stenosis identified by angiography. This population may not be representative of the broader population with coronary artery disease. Intravascular ultrasound is a measure of disease progression and there exist limited data regarding the ability of this efficacy measure to predict clinical outcomes. Morbidity and mortality trials are always the preferred approach to determining the clinical benefits of any intervention. In invasive imaging trials, some patients do not complete IVUS assessments at both baseline and follow-up. The absence of imaging information for noncompleting patients can potentially introduce biases into the analyses. Accordingly, we performed a post hoc sensitivity analysis in which values were imputed for noncompleters based on their baseline characteristics. Although all P values for IVUS efficacy parameters change slightly using the imputed results, the overall interpretation of the study was not altered. Finally, the duration of exposure to rimonabant was relatively short (18 months), which may have been inadequate to observe a treatment effect on the rate of progression of coronary atherosclerosis.
Despite these limitations, we believe that the STRADIVARIUS trial supports the following conclusions. Treatment with the CB1 antagonist rimonabant for 18 months reduced body weight and waist circumference and improved lipid profiles, glycemic measures, and hsCRP levels, but did not significantly reduce atherosclerosis for the primary efficacy parameter, change in PAV. However, rimonabant treatment did show a statistically significant favorable effect for a secondary IVUS end point and an additional exploratory end point. Accordingly, this agent may favorably influence the progression of atherosclerosis. Significant psychiatric and gastrointestinal tract adverse effects were observed but were usually mild or moderate in severity. We believe that this approach to treatment of abdominal obesity, inhibition of CB1 receptors with rimonabant, continues to hold promise in the treatment of patients with coronary disease and should be explored in further clinical trials.
Corresponding Author and Reprints: Steven E. Nissen, MD, Department of Cardiovascular Medicine, Cleveland Clinic Foundation, 9500 Euclid Ave, Cleveland, OH 44195 (firstname.lastname@example.org).
Published Online: April 1, 2008 (doi:10.1001/jama.299.13.1547).
Author Contributions: Dr Nissen had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Study concept and design: Nissen, Cannon, Deanfield, Despres, Kapadia, Gaudin, Job, Tuzcu.
Acquisition of data: Nissen, Nicholls, Rodes-Cabau, Despres, Yasin, Ruzyllo, Tuzcu.
Analysis and interpretation of data: Nissen, Nicholls, Wolski, Cannon, Deanfield, Despres, Kastelein, Steinhubl, Kapadia, Gaudin, Job, Hu, Bhatt, Lincoff, Tuzcu.
Drafting of the manuscript: Nissen, Deanfield, Tuzcu.
Critical revision of the manuscript for important intellectual content: Nissen, Nicholls, Wolski, Rodes-Cabau, Cannon, Deanfield, Despres, Kastelein, Steinhubl, Kapadia, Yasin, Ruzyllo, Gaudin, Job, Hu, Bhatt, Lincoff, Tuzcu.
Statistical analysis: Nissen, Wolski, Cannon, Hu.
Obtained funding: Nissen, Gaudin.
Administrative, technical, or material support: Nissen, Nicholls, Cannon, Deanfield, Despres, Gaudin, Bhatt, Lincoff, Tuzcu.
Study supervision: Nissen, Rodes-Cabau, Cannon, Deanfield, Despres, Kastelein, Kapadia, Yasin, Gaudin, Job.
Financial Disclosures: Dr Nissen reported receiving research support from AstraZeneca, Atherogenics, Eli Lilly, Novartis, Pfizer, Takeda, Daiichi-Sankyo, and sanofi-aventis and consulting for a number of pharmaceutical companies without financial compensation (all honoraria, consulting fees, or any other payments from any for-profit entity are paid directly to charity, so that neither income nor any tax deduction is received). Dr Nicholls reported receiving honoraria from Pfizer, AstraZeneca, Takeda, and Merck Schering-Plough; consultancy fees from AstraZeneca, Pfizer, Roche, Novo-Nordisk, Liposcience, and Anthera Pharmaceuticals; and research support from AstraZeneca and Lipid Sciences. Dr Rodés-Cabau reported receiving research support from sanofi-aventis, Boston Scientific, St Jude Medical, and Actelion and lecture or consulting fees from AstraZeneca, Medtronic, and Edwards Lifesciences. Dr Cannon reported receiving research grant support from Accumetrics, AstraZeneca, Bristol-Meyers Squibb, GlaxoSmithKline, Merck, sanofi-aventis, and Schering Plough. Dr Deanfield reported receiving grant support from Aspreva Pharmaceuticals, Pfizer, and Merck and receiving lecture or consultancy fees from AstraZeneca, Merck, Novartis, Pfizer, Roche, sanofi-aventis, and Takeda. Dr Després reported receiving honoraria as a consultant or lecturer from AstraZeneca, Eli Lilly, GlaxoSmithKline, Innodia, Merck, Novartis, Pfizer Inc, Pharmacia Corp, sanofi-aventis, and Solvay and receiving research grants from Eli Lilly, GlaxoSmithKline, Innodia, and sanofi-aventis. Dr Kastelein reported receiving research grants from Schering-Plough, Merck, Pfizer, sanofi-aventis, AstraZeneca, Roche, Isis Pharmaceuticals, and Aspreva Pharma and receiving lecture or consulting fees from Schering-Plough, Merck, Pfizer, sanofi-aventis, AstraZeneca, Roche, Isis Pharmaceuticals, Lipid Sciences, Lexicon Pharmaceuticals, Kinemed, and Novartis. Dr Steinhubl reported receiving honoraria for advisory boards from sanofi-aventis, Bristol-Myers Squibb, Daiichi Sankyo, Eli Lilly, AstraZeneca, Portola, and The Medicines Company and receiving research support from Eli Lilly, The Medicines Company, and Regado; beginning February 1, 2008, Dr Steinhubl became an employee of The Medicines Company. Dr Bhatt reported receiving research grants (directly to the institution) from Bristol Myers Squibb, Eisai, Ethicon, Heartscape, sanofi-aventis (including for the CRESCENDO trial of rimonabant, for which he serves as international principal investigator), and The Medicines Company; receiving honoraria (donated to nonprofits for >2 years) from AstraZeneca, Bristol-Myers Squibb, Centocor, Daiichi- Sankyo, Eisai, Eli Lilly, GlaxoSmithKline, Millennium, Paringenix, PDL, sanofi-aventis, Schering Plough, The Medicines Company, and tns Healthcare; serving on the speakers bureau (>2 years ago) of Bristol-Myers Squibb, sanofi-aventis, and The Medicines Company; serving on the consultant/advisory board (donated to nonprofits for >2 years) of Astellas, AstraZeneca, Bristol-Myers Squibb, Cardax, Centocor, Cogentus, Daiichi-Sankyo, Eisai, Eli Lilly, GlaxoSmithKline, Johnson & Johnson, McNeil, Medtronic, Millennium, Molecular Insights, Otsuka, Paringenix, PDL, Philips, Portola, sanofi-aventis, Schering-Plough, Scios, The Medicines Company, tns Healthcare, and Vertex; and providing expert testimony regarding clopidogrel (>2 years ago; compensation donated to a nonprofit organization). The Cleveland Clinic Coordinating Center currently receives or has received research funding from Abraxis, Alexion Pharma, AstraZeneca, Atherogenics, Aventis, Biosense Webster, Biosite, Boehringer Ingelheim, Boston Scientific, Bristol-Myers Squibb, Cardionet, Centocor, Converge Medical Inc, Cordis, Dr Reddy’s, Edwards Lifesciences, Esperion, GE Medical, Genentech, Gilford, GlaxoSmithKline, Guidant, Johnson & Johnson, Kensey-Nash, Lilly, Medtronic, Merck, Mytogen, Novartis, Novo Nordisk, Orphan Therapeutics, P & G Pharma, Pfizer, Roche, Sankyo, sanofi-aventis, Schering-Plough, Scios, St Jude Medical, Takeda, TMC, VasoGenix, and Viacor. Dr Lincoff reported consulting for a number of pharmaceutical companies but requires them to donate all honoraria or consulting fees directly to charity so that he receives neither income nor tax deduction. Dr Tuzcu reported receiving consultancy fees from Pfizer and honoraria from Pfizer and Merck. No other disclosures were reported.
Funding/Support: This study was funded by sanofi-aventis.
Role of the Sponsor: sanofi-aventis participated in discussions regarding study design and protocol development and provided logistical support during the trial. Monitoring of the study was performed by the sponsor, who also maintained the trial database. The intravascular ultrasound end points were measured by the Cleveland Clinic Cardiovascular Coordinating Center. Statistical analyses were performed independently by both the sponsor and the coordinating center, with results cross-checked for accuracy between the 2 statistical teams. The manuscript was prepared by the corresponding author and modified after consultation with the other authors. The sponsor was permitted to review the manuscript and suggest changes, but the final decision on content was exclusively retained by the academic authors.
Independent Statistical Analysis: An independent statistical analysis was conducted by Kathy Wolski, MPH, of the Department of Cardiovascular Medicine at the Cleveland Clinic Foundation. Ms Wolski received the trial database from the sponsor, which included all raw data, not just derived data sets, and independently computed the intravascular ultrasound efficacy parameters, safety measures, laboratory parameters, and demographic variables. Ms Wolski is employed by the Cleveland Clinic Cardiovascular Coordinating Center, which received compensation from the sponsor for conducting the trial, including reimbursement for statistical services. An additional independent statistical analysis was performed by Bo Hu, PhD, of the Department of Quantitative Health Sciences at the Cleveland Clinic. Dr Hu is also affiliated with the Department of Statistics at Case Western Reserve University. Dr Hu received the entire trial database and independently confirmed Ms Wolski's findings. Dr Hu received compensation from the coordinating center, but not from the sponsor, for statistical services. The results reported in this article are based on the independent analyses.
STRADIVARIUS Investigators:Executive Committee: Steven Nissen (Chair), Cleveland Clinic, Cleveland, Ohio; Christopher Cannon, Brigham & Women's Hospital, Boston, Massachusetts; John Deanfield, University College, London, England; Jean-Pierre Després, Laval Hospital Research Center, Quebec City, Quebec, Canada; Christophe Gaudin (nonvoting) and Bernard Job (nonvoting), sanofi-aventis, Paris, France; John Kastelein, Academic Medical Center, Amsterdam, the Netherlands; Josep Rodès-Cabau, Laval Hospital, Quebec City, Quebec, Canada; Steven Steinhubl, MD, University of Kentucky, Lexington. Data and Safety Monitoring Board: Robert Frye (Chair), Mayo Clinic, Rochester, Minnesota; Robert Harrington and Kerry Lee, Duke University, Durham, North Carolina; Marc Buyse, International Drug Development Institute, Belgium. Investigators (*indicates sites that were activated but no screening of patients was performed during the study): Australia:New South Wales: John Hunter Hospital, New Lambton (G. Bellamy, MD); Royal Prince Alfred Hospital, Camperdown (M. Adams, PR); Queensland: Core Research Group, Milton (D. Colquhoun, PR); Victoria: Monash Medical Centre Cardiovascular Research, Clayton (J. Cameron, PR). Belgium: Cliniques Universitaires Saint Luc Service de Pharmacie, Bruxelles (J. Renkin, PR); Ziekenhuis Oost-Limburg Dienst Apotheek, Genk (M. Vrolix, MD); UZ Antwerpen Dienst Apotheek, Edegem (C. Vrints, PR); OLV Ziekenhuis Dienst Apotheek, Aalst (B. De Bruyne, MD); Hôpital de Charleroi Service, Charleroi (J. Lalmand, MD)*. Canada:Quebec: Hopital Laval Cardiologie, Sainte-Foy (J. Rodes-Cabau, MD); Hopital Maisonneuve-Rosemont Recherche Clinique Polyclinique, Montreal (C. Constance, MD); Montreal Heart Institute Research Center, Montreal (R. Gallo, MD); Alberta: Foothills Medical Centre, Calgary (M. Curtis, MD); Ontario: Toronto General Hospital University Health Network, Toronto (L. Schwartz, MD); British Columbia: Victoria Heart Institute Foundation, Victoria (W.P. Klinke, MD). France: Hôpital Rangueil, Toulouse (J. Puel, PR); Hôpital Europeen G. Pompidou, Paris (A. Lafont, PR)*; Chu Henri Mondor, Creteil (E. Teiger, PR); Hôpital Claude Galien Service Angiographie, Quincy Sous Senart (P. Garot, MD); Hôpital Louis Pradel Pharmacie, Bron (G. Finet, PR)*; Hôpital Marie Lannelongue, Le Plessis Robinson (C. Caussin, MD); Hopital Haut-Lévêque, Pessac (P. Coste, PR, MD). Italy: Ospedale San Raffaele Unità Di Emodinamica E Cardiologia Interventistica, Milano (A. Colombo, MD); Ospedale S. Maria Della Misericordia Strutt, Udine (G. Bernardi, MD); Centro Cardiologico Monzino, Milan (A. Bartorelli, MD); Ospedale Cisanello, Pisa (A. Petronio, PR); Ospedale S. Giovanni Addolorata, Roma (F. Prati, MD); Policlinico San Matteo, Pavia (G. De Ferrari, MD); Isitituto Clinico Humanitas, Rozzano (P. Presbitero, MD). The Netherlands: Olvg, Amsterdam (J.P.R. Herrman, MD, PhD); Catharina Ziekenhuis, Eindhoven (J.J. Koolen, MD, PhD); Medisch Spectrum Twente, Enschede (C. Von Birgelen, PR, MD, PhD); Umc St Radboud, Nijmegen (W.R.M. Aengevaeren, MD, PhD); Amphia Ziekenhuis, Breda (P. Den Heijer, MD, PhD); Isala Klinieken, Zwolle (A.T.M. Gosselink, MD, PhD); St Antonius Ziekenhuis, Nieuwegein (B.J.W.M. Rensing, MD). Poland: Instytut Kardiologii I Klinika Warszawa, Anin (W. Ruzyllo, PR, MD, PhD); Gornoslaskie Centrum Medyczne Sam Oddzial Ostrych Zespolow Wiencowych, Katowice (Pawel Buszman, MD, PhD); Gornoslaskie Centrum Medyczne Sam Iii Klinika Kardiologii, Katowice (A. Ochala, MD, PhD). Spain: Hospital De Bellvitge Hemodinámica Feixa, Llarga (A. Cequier, MD); Hospital Clínco San Carlos, Madrid (C. Macaya, MD); Hospital Del Mar Hemodinámica, Barcelona (A. Serra, MD); Hospital San Juan De Alicante Hemodinámica, San Juan (J. Miguel Ruiz, MD); Hospital Gregorio Marañon Hemodinámica, Madrid (J. Soriano, MD); Hospital Clínico De Málaga Hemodinámica, Malaga (J.M. Hernandez, MD); Hospital Central De Asturias Hemodinámica, Oviedo (I. Lozano, MD); Hospital Vall D´Hebron Hemodinámica, Barcelona (J. Angel, MD). United States:Alabama: The Heart Group, Mobile (C. Alford, MD); California: Northern California Medical Associates, Santa Rosa (P. Coleman, MD); VA Medical Center Division of Cardiology, Los Angeles (R. Ebrahimi, MD); St Joseph´s Medical Center, Stockton (D. Primack, MD)*; Radiant Research, Santa Rosa (S. Dhar, MD); Los Angeles Cardiology Associates, Los Angeles (R. Matthews, MD); Kaiser Permanente, San Francisco (M. Tawadrous, MD); Golden Gate Cardiology, San Francisco (G. Milechman, MD); Sacramento Heart and Vascular Research, Sacramento (D. Roberts, MD); VA San Diego Healthcare System, San Diego (W. Penny, MD); University of California San Diego (E. Mahmud, MD); Colorado: University of Colorado Health Sciences Center, Denver (J. C. Messenger, MD); Florida: Orlando Heart Center, Orlando (R. Dalton, MD); Florida Cardiovascular Research at JFK Medical Center, Atlantis (M. Rothenberg, MD); The Heart and Vascular Institute of Florida, Safety Harbor (M. Krolick, DO); Cardiology Consultants, Pensacola (W. Pickens, MD); St Vincent´s Medical Center, Jacksonville (G. Pilcher, MD); Clearwater Cardiovascular & International Consultants, Clearwater (J.T. Zelenka, MD); Sarasota Memorial Health Care System Clinical Research Center, Sarasota (S. Culp, MD); Miami International Cardiology Consultants, Miami Beach (J. Margolis, MD); Florida Cardiovascular Institute, Tampa (F. Matar, MD); Mima Century Research Associates, Melbourne (R. Vicari, MD); University of Florida Health Science Center, Jacksonville (M. Costa, MD); Pasco Cardiology, Hudson (P. Rossi, MD); Heart Center, Port Charlotte (V. Howard, MD); Illinois: Heart Care Research Foundation, Blue Island (R. Iaffaldano, MD); Indiana: Cardiovascular Clinics, Merrillville (T. Nguyen, MD); Midwest Medical Group, Elkhart (D. Westerhausen, MD); Iowa: Iowa Heart Center, Des Moines (M. Ghali, MD); Kansas: Cardiovascular Research Shawnee Mission Medical Center, Shawnee Mission (P. Kramer, MD); Kentucky: Cardiology Associates Research, Edgewood (M. Jordan, MD); University of Louisville University Cardiology Research, Louisville (M. Leesar, MD); Gill Heart Institute University of Kentucky, Lexington (K. Ziada, MD); Louisiana: TCA Research, Covington (G. Lasala, MD); Maryland: HPV Heart, Columbia (W. Herzog, MD); Peninsula Cardiology Associates, Salisbury (J. Raffetto, MD); John Hopkins University, Baltimore (J. Resar, MD); Washington Adventist Hospital, Takoma Park (M. Turco, MD); Sinai Hospital, Baltimore (P. Gurbel, MD); Michigan: Michigan Heart, Ypsilanti (J. Wilks, MD); Cardiac and Vascular Research Center of Northern Michigan, Petoskey (L. Cannon, MD); Covenant Medical Center Cardiovascular Research, Saginaw (W. Felten, MD); Borgess Research Institute Borgess Medical Center, Kalamazoo (A.J. Carter, MD); University of Michigan Health Systems, Ann Arbor (S.J. Chetcuti, MD); Cardiology Research, Road Royal Oak (G. Hanzel, MD); Michigan Cardiovascular Institute, Saginaw (R. Gudipati, MD); Minnesota: 225 North Smith Avenue Suite 400, St Paul (K. Baran, MD); Central Minnesota Heart Center, St Cloud (B. Erickson, MD). Mississippi: Memphis Heart Clinic, Southaven (S. Himmelstein, MD); Missouri: Kansas City Heart Foundation, Kansas City (E. Hockstad, MD); Nebraska: Nebraska Heart Institute, Lincoln (P. Dionisopoulos, MD); New Mexico: New Mexico Heart Institute, Albuquerque (J. Batty, MD); New York: Buffalo Cardiology & Pulmonary Associates, Williamsville (J. Corbelli, MD); Capital Cardiology, Troy (A. Delago, MD); Metropolitan Cardiology Consultants, LLC, Pomono (C. Hirsch, MD); Strong Memorial Hospital University of Rochester Medical Center, Rochester (F. Ling, MD); Buffalo Heart Group, Buffalo (A. R. Zaki Masud, MD); South Bay Cardiovascular, Islip (D. Reich, MD); NYU Medical Center, New York (M. Attubato, MD); Hudson Valley Heart Center Vassar Brothers Medical Center, Poughkeepsie (M. Zubair Jafar, MD); North Carolina: Wake Forest University Health Sciences Department of Cardiology Medical Center, Winston-Salem (T. Baki, MD)*; East Carolina University School of Medicine Division of Cardiology, Greenville (J. Babb, MD); Lebauer Cardiovascular Research Foundation, Greensboro (B. Brodie, MD); Ohio: Davies Heart and Lung Research Institute, Columbus (R. Magorien, MD)*; University Hospitals of Cleveland, Cleveland (R. Nair, MD); Cardiovascular Medicine Associates, Middleburg Heights (M. Schrode, DO); Medical College of Ohio, Toledo (W. Colyer, MD); Cleveland Clinic, Cleveland (R. Raymond, DO); Oklahoma: Oklahoma Heart Institute, Tulsa (W. Leimbach, MD); Southwest Cardiology, Oklahoma City (M. Yasin, MD); Oregon: Oregon Cardiology, Eugene (S. Cook, MD); Hillsboro Cardiology, Hillsboro (S. Promisloff, MD); Pennsylvania: The Heart Group, Lancaster (P. Casale, MD); University of PA Medical Center-Presbyterian Division of Cardiology, Philadelphia (R.H. Li, MD); Moffitt Heart & Vascular Group, Wormleysburg (W. Bachinsky, MD); University of Pittsburgh Medical Center, Pittsburgh (O. Marroquin, MD); Penn State Milton S. Hershey Medical Center, Hershey (I. Gilchrist, MD); Geisinger Clinic, Danville (J. Blankenship, MD); South Carolina: Upstate Cardiology, Greenville (J. Cebe, MD); Tennessee: VA Memphis, Memphis (K.B. Ramanathan, MD); Parkway Cardiology Associates, Oak Ridge (M. Sharma, MD); Texas: University of Texas Health Science Center at San Antonio (D. Patel, MD); Virginia: Sentara Norfolk General Hospital, Norfolk (P. Mahoney, MD); University of Virginia Health System Hospital, Charlottesville (M. Ragosta, MD); Inova Research Center, Falls Church (B. Raybuck, MD)*; Washington: The Hope Heart Institute, Bellevue (T. Amidon, MD); Wisconsin: Milwaukee Cardiovascular Research Foundation, Milwaukee (A. Arnold, DO). National Coordinators:Australia: James Cameron, MD; Belgium: Jean Renkin, MD; Canada: Josep Rodes, MD; France: Jacques Puel, MD; Italy: Antonio Colombo, MD; Poland: Witold Ruzyllo, MD, PhD; Spain: Angel R. Cequier, MD; The Netherlands: Gert-Jan Laarman, MD; United States: Ian Gilchrist, MD; Stanley Chetcuti, MD.
Intravascular Ultrasound Core Laboratory Staff: Tim Crowe, William Magyar, Jordan Andrews, Tammy Churchill, Anne Colagiovanni, Jessica Fox, Teresa Fonk, Karilane King, Aaron Loyd, Erin Mayock, Kara McInturff, Rhiannon Regal, Andrea Winkhart and Jay Zhitnik.
Previous Presentation: Presented in part at the American College of Cardiology 57th Annual Scientific Session; April 1, 2008; Chicago, Illinois.
Additional Contributions: We thank Marilyn Borgman, RN (project manager), Craig Balog, BS, and Amy Hsu, MS (statistical support). These individuals are employed by the Cleveland Clinic Cardiovascular Coordinating Center and were not compensated for participation in the study.
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