Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2016 Jan 1.
Published in final edited form as: Atherosclerosis. 2014 Nov 14;238(1):119–125. doi: 10.1016/j.atherosclerosis.2014.11.007

Effects of Cardiac Medications for Patients With Obstructive Coronary Artery Disease by Coronary Computed Tomographic Angiography: Results from the Multicenter CONFIRM Registry

Joshua Schulman-Marcus a, Bríain ó Hartaigh b, Ashley E Giambrone c, Heidi Gransar d, Valentina Valenti b, Daniel S Berman d, Matthew J Budoff e, Stephan Achenbach f, Mouaz Al-Mallah g, Daniele Andreini h, Filippo Cademartiri i, Tracy Q Callister j, Hyuk-Jae Chang k, Kavitha Chinnaiyan l, Benjamin J W Chow m, Ricardo Cury n, Augustin Delago o, Martin Hadamitzky p, Joerg Hausleiter q, Gudrun Feuchtner r, Yong-Jin Kim s, Philipp A Kaufmann t, Jonathon Leipsic u, Fay Y Lin a, Erica Maffei v, Gianluca Pontone h, Gilbert Raff l, Leslee J Shaw w, Todd C Villines x, Allison Dunning y, James K Min b
PMCID: PMC4277901  NIHMSID: NIHMS646768  PMID: 25479800

Abstract

Objective

This study sought to determine the correlation between baseline cardiac medications and cardiovascular outcomes in patients with obstructive coronary artery disease (CAD) diagnosed by coronary computed tomographic angiography (CCTA).

Methods

1637 patients (mean age 64.8 ± 10.2 years, 69.6% male) with obstructive CAD from the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) registry were followed over the course of three years. Obstructive CAD was defined as a >50% stenosis in an epicardial vessel. Medications analyzed included statins, aspirin, beta-blockers, angiotensin converting enzyme (ACE) inhibitors, and angiotensin receptor blockers (ARBs). Using Cox proportional-hazards models, we calculated the hazard ratio (HR) with 95% confidence intervals (95% CIs) for incident major adverse cardiovascular events (MACE), defined as death, acute coronary syndrome, or myocardial infarction.

Results

At the time of CCTA, 59%, 54%, 40%, and 46% of patients were using statins, aspirin, beta-blockers, and ACE inhibitors or ARBs, respectively. Statins were associated with a 43% (95% CI = 0.38-0.87, p=0.008) lower adjusted risk of MACE. Following adjustment, aspirin, beta-blockers, ACE inhibitors and ARBs did not attenuate the risk of MACE. When restricted to patients with multivessel obstructive CAD, only statins were associated with lower risk of MACE.

Conclusion

In patients with obstructive CAD by CCTA, the baseline use of statins was associated with improved clinical outcomes. Other cardiac medications—including aspirin, beta-blockers, ACE inhibitors, and ARBs—were not associated with reduced risk of MACE.

Keywords: Coronary Artery Disease, Coronary computed tomographic angiography, major adverse cardiac events, medication therapy, statins

INTRODUCTION

Coronary computed tomographic angiography (CCTA) is a noninvasive imaging modality that permits accurate detection and exclusion of obstructive coronary artery disease (CAD), although the ideal medical management of patients with CCTA-identified obstructive CAD remains unclear. For patients without prior known myocardial infarction or coronary revascularization, current guidelines advocate the use of statins as a first-line therapy.[13] Whether intensification of medical therapy with medications such as beta-blockers, angiotensin converting enzyme (ACE) inhibitors, and angiotensin receptor blockers (ARBs) is associated with improved cardiovascular outcomes is unknown.[2] In the present prospective multi-site international study, we examined the association between clinical outcomes and baseline cardiac medications for patients with newly identified obstructive CAD by CCTA.

METHODS

Study population

The CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) registry is a global, multicenter, observational registry comprising clinical, procedural, and follow-up data for 27,125 patients undergoing CCTA for clinically indicated reasons. Details concerning the CONFIRM registry's design and rationale have been published previously.[4,5] Briefly, inclusion criteria for this analysis were patients referred for suspected CAD who were subsequently identified as having at least obstructive coronary stenosis, as defined by a >50% luminal stenosis (n=2,807). Patients were excluded from this study if they had a prior diagnosis of MI or prior coronary revascularization. Medication data were not collected at all CONFIRM sites, and patients with incomplete medication data were excluded (n=1,170). Each study site received institutional review board approval for all registry procedures, including follow-up methodologies.

Clinical data collection

Standardized data collection methods were employed at participating study sites.[4,5] Data were systematically collected for each consecutive patient, while applying consistent definitions for suspected cardiac symptoms, risk factors, and angiographic CAD extent and severity. Patient information was gathered for traditional cardiac risk factors including hypertension, diabetes, dyslipidemia, current smoking, and a family history of premature CAD. Patients who were treated for hypertension, diabetes, or dyslipidemia, or who otherwise had a prior diagnosis for these conditions were categorized as having that risk factor. Family history of premature CAD was defined as a primary relative with a diagnosis early in life (i.e., mother <65 years of age or father <55 years of age). Chest pain was defined and categorized by the interviewing physician as non-anginal, atypical angina, or typical angina pectoris.

CCTA Performance and Interpretation

Standardized protocols for image acquisition, as defined by the Society of Cardiovascular Computed Tomography, were employed at all participating sites. Specific details of CCTA procedures have been defined in detail elsewhere.[4] Each site applied the standard anatomic segmental analysis for image interpretation. All segments were coded for the presence and severity of coronary stenosis and were scored as normal (0% luminal stenosis), mild-moderate (1% to 49% luminal stenosis), or obstructive (>50% luminal stenosis). Stenoses were judged on a per-patient and per-vessel basis, with the latter based upon stenosis in the left main (LM) artery, the left anterior descending (LAD) artery, the left circumflex (LCx) artery and the right coronary artery (RCA).

Study outcome

Patients were followed prospectively over the course of 3 years. The primary outcome measure was major adverse cardiovascular events (MACE), which included a combination of death from any cause, acute coronary syndrome (ACS), and non-fatal MI that occurred during the initial 3 years following CCTA. An ACS was defined as a hospitalization with the occurrence of unstable anginal symptoms with electrocardiographic changes. Acute MI was further ascertained using biomarker quantification during patients’ hospital stay. Ascertainment and adjudication of events in CONFIRM have previously been described.[4] All-cause mortality was adjudicated by trained study personnel or by querying of national medical databases. Cause of death was not collected in CONFIRM. Other outcomes were ascertained by direct interview or telephone contact using a standard script or through review of medical records.

Statistical methods

Categorical variables are presented as counts and proportions. Continuous variables are presented as means ± SD. Variables were compared using the chi-squared test for categorical variables and by Student's unpaired t-test for normally distributed variables, or by Wilcoxon's non-parametric test for non-normally distributed variables. Time-to-event analyses for the study endpoint were calculated using univariable Cox proportional-hazards models reporting hazard ratios (HR) with 95% confidence intervals (95% CIs). Given considerable medication heterogeneity, a medication was considered present if the patient was taking the medication regardless of concurrent therapies. Multivariable Cox proportional hazards models were also constructed with variables based on clinical judgment and prior CONFIRM analyses.[5,6]. Variables included baseline demographics, cardiac risk factors, individual medications, number of vessels with obstructive disease, and coronary revascularization. In multivariable analyses, all variables were adjusted for simultaneously. This approach controlled for the effect of baseline differences in the comparator cohorts as well as the impact of non-randomized treatment allocation on survival. A two-tailed p-value of <0.05 was considered statistically significant. All statistical analyses were conducted using SAS version 9.3 (www.sas.com, Cary, NC).

RESULTS

Clinical characteristics of the study population (n=1637) and patients with incomplete medication data (n=1170) are listed in Table 1. Overall, the study population had a higher burden of risk factors but similar severity of obstructive CAD. In the study population, slightly more than half (59%) of the patients were taking statins, 54% aspirin, 40% beta-blockers, and 46% ACE inhibitors/ARBs. Approximately two thirds (61%) of patients had chest pain symptoms. By CCTA, 60% of patients were diagnosed with 1-vessel CAD, 23% with 2-vessel CAD, and the remainder with 3-vessel or LM disease. Many of the study patients were on multiple medications (Table 2). Overall, 116 (7.1%) of the patients experienced the study outcome (43 nonfatal acute coronary syndromes, 7 fatal acute coronary syndromes, 66 other deaths).

Table 1.

Study demographics

Complete Med Data (n=1637) Incomplete Med Data (n=1170) p-value
Age, mean ± SD 64.8±10.2 61.7 ± 10.5 <0.001
Male, n (%) 1139 (69.6) 762 (65.2) 0.014
Cardiovascular risk factors, n (%)
    Current smoker 388 (23.8) 196 (16.9) <0.001
    Diabetes 390 (23.9) 234 (20.2) 0.02
    Family history of premature CAD 552 (33.8) 1019 (37.1) <0.001
    Hyperlipidemia 1142 (70.1) 754 (65.3) 0.007
    Hypertension 1064 (65.2) 709 (62.0) 0.08
Chest Pain, n (%) <0.001
    Typical 327 (20.7) 158 (14.1)
    Atypical 502 (31.8) 395 (35.3)
    Non-cardiac 138 (8.8) 110 (9.8)
    Asymptomatic 610 (38.7) 457 (40.8)
Dyspnea, n (%) 250 (16.6) 425 (46.1) <0.001
Medication, n (%)
    Statins 970 (59.3) na
    Aspirin 883 (53.9) na
    Beta-blockers 651 (39.8) na
    ACE inhibitors/ARBs 747 (45.6) na
    Other* 559 (34.2) na
CAD Severity, n (%) 0.74
    1-vessel 987 (60.3) 702 (60.1)
    2-vessel 382 (23.3) 285 (24.4)
    3-vessel 268 (16.4) 182 (15.6)
Any coronary revascularization 403 (24.6) 368 (31.5) <0.001
Early coronary revascularization (<90 days) 278 (17.0) 295 (25.2) <0.001
*

Includes nitrates, calcium channel blockers, and non-statin lipid lowering medications

Table 2.

Baseline Characteristics Stratified by Medication

Statin (n=970) Aspirin (n=833) Beta Blocker (n=651) Ace Inhibitor/ARB (n=747)
Age, mean ± SD 64.9 ± 9.5 64.4 ± 10.1 65.1 ± 9.9 65.2 ± 9.7
Male, n (%) 677 (69.8) 610 (69.1) 424 (65.1) 503 (67.3)
Cardiovascular risk factors, n (%)
    Current smoker 228 (23.6) 167 (19.0) 130 (20.2) 150 (20.2)
    Diabetes 259 (26.8) 242 (27.6) 176 (27.3) 215 (29.0)
    Family history of premature CAD 351 (36.3) 246 (27.9) 176 (27.1) 224 (30.1)
    Hyperlipidemia 837 (86.7) 627 (71.5) 462 (71.4) 503 (67.9)
    Hypertension 644 (66.6) 567 (64.7) 458 (70.9) 555 (74.6)
Chest Pain, n (%)
    Typical 354 (38.2) 347 (41.3) 251 (40.7) 310 (43.0)
    Atypical 281 (30.3) 265 (31.6) 197 (31.9) 232 (32.2)
    Non-cardiac 81 (8.7) 35 (4.2) 38 (6.2) 44 (6.1)
    Asymptomatic 212 (22.8) 192 (23.0) 131 (21.2) 135 (18.7)
Dyspnea, n (%) 132 (14.7) 112 (14.0) 90 (15.3) 118 (18.0)
Medication, n (%)
    Statin 970 (100) 586 (66.4) 427 (65.6) 460 (61.6)
    ASA 586 (60.4) 883 (100) 489 (75.1) 490 (65.6)
    Beta blocker 427 (44.0) 489 (55.4) 651 (100) 399 (53.4)
    ACEi/ARB 460 (47.4) 490 (55.5) 399 (61.3) 747 (100)
    Other 372 (38.4) 444 (50.3) 303 (46.5) 293 (39.2)
CAD Severity, n (%)
    1-vessel 547 (56.4) 544 (61.6) 382 (58.7) 460 (61.6)
    2-vessel 241 (24.9) 206 (23.3) 171 (26.3) 176 (23.6)
    3-vessel 182 (18.8) 133 (15.1) 98 (15.1) 111 (14.9)
Any coronary revascularization 291 (30.0) 192 (21.7) 166 (25.5) 206 (27.6)
Early coronary revascularization (<90 days) 181 (18.7) 109 (12.3) 108 (16.6) 144 (19.2)

Univariable and Multivariable Clinical Predictors of Major Adverse Cardiac Event Risk

As shown in Table 3, the unadjusted risk of MACE was associated with older age, hypertension, and increasing severity of CAD. In multivariable analysis, only age and increasing severity of CAD remained strong independent predictors of MACE.

Table 3.

Clinical characteristics associated with MACE for patients with obstructive CAD

Univariable HR (95% CI) p-value Multivariable HR (95% CI) p-value
Age 1.06 (1.04-1.08) <0.001 1.06 (1.04-1.08) <0.001
Male 1.00 (0.67-1.49) 1.00 1.15 (0.76-1.74) 0.51
Diabetes 1.12 (0.74-1.69) 0.60 1.12 (0.74-1.70) 0.59
Family history of premature CAD 1.26 (0.86-1.84) 0.23 1.24 (0.83-1.83) 0.29
Hyperlipidemia 1.06 (0.71-1.59) 0.78 1.46 (0.92-2.30) 0.11
Hypertension 1.93 (1.25-2.96) 0.003 1.50 (0.96-2.34) 0.07
Current smoker 1.40 (0.94-2.08) 0.10 1.45 (0.96-2.19) 0.08
Medication
    Statins 0.74 (0.51-1.06) 0.10 0.57 (0.38-0.87) 0.008
    Aspirin 0.65 (0.45-0.93) 0.02 0.74 (0.49-1.12) 0.16
    Beta-blockers 0.95 (0.66-1.38) 0.80 1.05 (0.70-1.59) 0.80
    ACE inhibitors 1.27 (0.88-1.83) 0.20 1.38 (0.91-2.08) 0.13
CAD Severity
    1-vessel 1.00 (Reference)
    2-vessel 2.04 (1.33-3.14) 0.001 1.86 (1.20-2.88) 0.006
    3-vessel/left main 2.52 (1.61-3.95) <0.001 1.97 (1.23-3.16) 0.005
Early coronary revascularization(<90days) 1.97 (1.31-2.95) 0.001 1.64 (1.08-2.48) 0.02

*Multivariable HR adjusted for age, sex, clinical risk factors, medication, CAD severity, and early coronary revascularization. CAD indicates coronary artery disease; HR, hazard ratio; CI, confidence interval.

Univariable and Multivariable Medication Predictors of Major Adverse Cardiac Event Risk

Aspirin was associated with a reduced unadjusted risk of MACE, whereas the associations between statin, beta-blocker and ACE inhibitor use and MACE were not significant (Figure 1). Yet, in multivariable analyses, statins were predictive of lowering the risk of MACE, while aspirin, beta-blockers, and ACE inhibitors were not (Table 3). Similar results were found when the analyses were restricted to patients with increased extent and severity of CAD (Table 4). The relationship between statins and MACE did not differ materially (HR 0.43, 95% CI = 0.25-0.75, p=0.003) after omitting patients with subsequent coronary revascularization. In a further sensitivity check, only statins remained associated with decreased MACE (HR 0.56, 95% CI 0.35-0.88, p=0.01) in the cohort inclusive of patients with incomplete medication data.

Figure 1. Unadjusted 3-Year Survival by the Use of Selected Medications Survival curves for statins, aspirin, beta-blockers, ACE inhibitors/ARBs.

Figure 1

Presence of medication may also include other medications

Table 4.

Clinical Characteristics Associated with MACE for Patients with More Extensive CAD

2v/3v/LM CAD (n=650) 3v/LM CAD (n=268)
Variable Multivariable HR (95% CI) p-value Multivariable HR (95% CI) p-value
Age 1.03 (1.00-1.06) 0.03 1.05 (1.01-1.10) 0.03
Male 0.91 (0.52-1.58) 0.74 0.81 (0.36-1.83) 0.61
Diabetes 1.46 (0.86-2.48) 0.16 2.20 (1.04-4.64) 0.04
Family history of premature CAD 1.46 (0.88-2.44) 0.14 1.82 (0.84-3.91) 0.13
Hyperlipidemia 1.35 (0.73-2.49) 0.34 2.40 (0.85-6.77) 0.10
Hypertension 1.17 (0.66-2.08) 0.60 0.61 (0.26-1.42) 0.25
Current smoker 1.16 (0.68-2.00) 0.58 1.37 (0.61-3.09) 0.45
Medications
    Statins 0.44 (0.25-0.77) 0.004 0.30 (0.12-0.74) 0.009
    Aspirin 0.74 (0.42-1.28) 0.28 0.83 (0.35-1.93) 0.66
    Beta-blockers 1.05 (0.60-1.82) 0.87 0.50 (0.20-1.25) 0.14
    ACE inhibitors 1.56 (0.89-2.74) 0.12 1.48 (0.58-3.79) 0.41
Early coronary revascularization(<90days) 1.56 (0.92-2.64) 0.10 1.87 (0.88-3.96) 0.11

*Multivariable HR adjusted for age, sex, clinical risk factors, medications, CAD severity, and early coronary revascularization. 2v indicates two vessel, 3v three vessel, LM left main, CAD coronary artery disease; HR, hazard ratio; CI, confidence interval.

Analysis of Differing Medication Regimens

In exploratory analyses, no medication combination was associated with additional improvements in survival compared to statins alone. Similarly, when compared to the use of statins alone, the use of all four classes of medication was not associated was significant additional improvement in survival (Figure 2).

Figure 2.

Figure 2

Unadjusted Survival by Primary versus Secondary Medication Regimen

DISCUSSION

In this large, global, multicenter registry of patients with obstructive CAD diagnosed by CCTA, baseline statin use was consistently associated with a reduction in the risk of MACE across 3 years of follow-up. Other cardiac medications (aspirin, beta blockers, ACE inhibitors and ARBs) were not significantly associated with reduced MACE. These findings suggest that patients with obstructive CAD diagnosed by CCTA derive the largest benefit from a medication regimen that includes statins.

Prior studies of statins for both primary and secondary prevention in patients with established CAD have reported considerable improvements in adverse outcomes.[79] A large meta-analysis of statin therapy in patients at low vascular risk demonstrated a 20% risk reduction in vascular events for each 1.0mmol/L (40mg/dL) decrement in LDL. Statins were associated with reductions in major coronary events, cardiac revascularization, stroke, cardiac mortality and all-cause mortality even in patients at low vascular risk.[7] In secondary prevention patients (most of whom had prior MI or revascularization), statin use was associated with even greater declines in all-cause mortality and major vascular events.[9] To date, few studies have examined the precise benefit of statins in patients with obstructive CAD diagnosed by CCTA. One recent retrospective study of patients with atypical chest pain who were found to have non-obstructive CAD by CCTA failed to observe a significant clinical improvement in patients subsequently initiated on statins.[10] However, this study used a propensity score matching approach and was retrospective. Conversely, the current analysis was restricted to patients with obstructive CAD diagnosed by CCTA, which is a cohort at higher risk of adverse events.[5] Our present findings suggest that such patients may derive greater absolute benefit from early and aggressive statin initiation than patients with lesser amounts of atherosclerosis. This notion is additive to the prior literature in that until recently, many patients with suspected CAD in statin trials did not have direct visualization of their coronary anatomy. Further studies regarding the interplay of anatomic CAD, ischemia, and statins in patients with CAD but without prior MI thus appear warranted. In the meanwhile, our findings lend further support to current recommendations that patients with obstructive CAD by CCTA should be treated with statins similar to other patients with chronic stable ischemic heart disease [1,2].

Previous meta-analyses exploring the effects of aspirin in secondary prevention have reported a beneficial reduction in the risk of fatal and non-fatal events.[11,12] Conversely, the role of aspirin in primary prevention is much less clear, even in high-risk groups such as diabetics, largely because of increased bleeding rates.[1214] In this study, while the use of aspirin was associated with a decline in the risk of MACE, the relationship marginally attenuated to non-significance after adjusting for numerous covariates. Had there been a longer duration of follow-up with sufficient sample size, it is feasible this trend may have reached statistical significance. In this light, future studies regarding the use of aspirin in patients with obstructive CAD as diagnosed by CCTA are needed.

Of the other cardiac medications examined in this study, neither beta-blockers nor ACE inhibitors were related to the risk of MACE. While beta blockers improve symptoms of stable angina, no studies to date have demonstrated improved MACE outcomes from beta blocker use in patients with stable CAD without prior MI. In such patients, beta blockers are therefore indicated only for symptomatic relief under current guidelines. [2,3] Among patients with stable CAD and preserved left ventricular function, ACE inhibitors have been associated with a small reduction in mortality, MI, and revascularization.[1517] Guidelines therefore state that ACE inhibitors/ARBs may be considered a useful adjunct in patients with stable CAD and other vascular risk factors.[2,3] Additional research is clearly warranted to determine the benefits, if any, of these medication classes among patients with obstructive CAD as diagnosed by CCTA.

Several limitations need to be emphasized. The patients involved in this study reflected only a small sample of the overall patients enrolled in the CONFIRM registry. Hence, the number of clinical endpoints was relatively small. The CONFIRM registry did not collect cause of death, and as such, not all deaths may be cardiovascular or related to the CCTA findings. Furthermore, other relevant outcomes such as stroke were not ascertained in CONFIRM. For myocardial infarction, there is a possible limitation of events being adjudicated by phone or medical review. Still, it should be noted that this is the largest prospective registry of consecutively enrolled CCTA patients for whom outcome data are available. During the data collection phase of this study, medication dosage, name and prior duration of therapy were not collected, nor was information regarding any subsequent change in medication, risk factor modification, or lifestyle changes following the results of patients’ CCTA. Further studies should clarify the effect of CCTA on subsequent medication management. The present study had insufficient data concerning left ventricular function or history of congestive heart failure, which may limit the interpretation of the findings regarding the impact of beta-blockers and ACE inhibitors.

Growing numbers of patients are frequently diagnosed with obstructive CAD by novel imaging modalities such as CCTA. We have previously reported that these patients are at increased risk of mortality and adverse cardiovascular outcomes.[5,18] However, there are few data guiding the management of such patients. Many contemporary patients may not have met eligibility criteria for older secondary prevention trials, yet it is unclear whether they should be considered similar to primary prevention cohorts with cardiovascular risk factors alone. The current study suggests a beneficial association between early statin initiation and reduced clinical events in patients with obstructive CAD diagnosed by CCTA. The baseline use of other cardiac medications including aspirin, beta blockers, ACE inhibitors or ARBs were not associated with reductions in MACE risk, but these findings may be limited owing to insufficient data regarding medication changes subsequent to the CCTA. While further research is clearly needed to guide the treatment of patients with obstructive CAD diagnosed by CCTA, at the minimum, our findings support efforts to increase the use of statins in such patients.

Supplementary Material

NIHMS646768-supplement.docx (147.3KB, docx)

Highlights.

  • We analyzed medication use of patients with obstructive CAD diagnosed by CCTA

  • Statins were significantly associated with lower risk of MACE

  • Secondary prevention medications were not associated with reduced risk of MACE

  • Findings were similar in patients with multivessel CAD

ACKNOWLEDGEMENTS

Research reported in this publication was supported by the Heart Lung and Blood Institute of the National institutes of Health (Bethesda, Maryland) under award number R01 HL115150. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. This research was supported by Leading Foreign Research Institute Recruitment Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning(MSIP) (2012027176). This study was also funded, in part, by a generous gift from the Dalio Institute of Cardiovascular Imaging (New York, NY) and the Michael Wolk Foundation (New York, NY).

Abbreviations

CCTA

Coronary computed tomographic angiography

CAD

coronary artery disease

CONFIRM

COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter Registry

LM

Left Main

LAD

left anterior descending

LcX

left circumflex

RCA

right coronary artery

MACE

major adverse cardiac events

ACS

Acute coronary syndrome

HR

hazard ratio

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

  • 1.Stone NJ, Robinson J, Lichtenstein AH, Merz CNB, Blum CB, Eckel RH, et al. 2013 ACC/AHA Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults: A Report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation. 2013 doi:10.1161/01.cir.0000437738.63853.7a. [Google Scholar]
  • 2.Fihn SD, Gardin JM, Abrams J, Berra K, Blankenship JC, Dallas AP, et al. 2012 ACCF/AHA/ACP/AATS/PCNA/SCAI/STS guideline for the diagnosis and management of patients with stable ischemic heart disease: a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines, and the. Circulation. 2012;126:e354–471. doi: 10.1161/CIR.0b013e318277d6a0. doi:10.1161/CIR.0b013e318277d6a0. [DOI] [PubMed] [Google Scholar]
  • 3.Montalescot G, Sechtem U, Achenbach S, Andreotti F, Arden C, Budaj A, et al. 2013 ESC guidelines on the management of stable coronary artery disease: The Task Force on the management of stable coronary artery disease of the European Society of Cardiology. Eur Heart J. 2013;34:2949–3003. doi: 10.1093/eurheartj/eht296. doi:10.1093/eurheartj/eht296. [DOI] [PubMed] [Google Scholar]
  • 4.Min JK, Dunning A, Lin FY, Achenbach S, Al-Mallah MH, Berman DS, et al. Rationale and design of the CONFIRM (COronary CT Angiography EvaluatioN For Clinical Outcomes: An InteRnational Multicenter) Registry. J Cardiovasc Comput Tomogr. 5:84–92. doi: 10.1016/j.jcct.2011.01.007. n.d. doi:10.1016/j.jcct.2011.01.007. [DOI] [PubMed] [Google Scholar]
  • 5.Min JK, Dunning A, Lin FY, Achenbach S, Al-Mallah M, Budoff MJ, et al. Age- and sex-related differences in all-cause mortality risk based on coronary computed tomography angiography findings results from the International Multicenter CONFIRM (Coronary CT Angiography Evaluation for Clinical Outcomes: An International Multicen. J Am Coll Cardiol. 2011;58:849–60. doi: 10.1016/j.jacc.2011.02.074. doi:10.1016/j.jacc.2011.02.074. [DOI] [PubMed] [Google Scholar]
  • 6.Cho I, Chang H-J, Sung JM, Pencina MJ, Lin FY, Dunning AM, et al. Coronary computed tomographic angiography and risk of all-cause mortality and nonfatal myocardial infarction in subjects without chest pain syndrome from the CONFIRM Registry (coronary CT angiography evaluation for clinical outcomes: an international mult. Circulation. 2012;126:304–13. doi: 10.1161/CIRCULATIONAHA.111.081380. doi:10.1161/CIRCULATIONAHA.111.081380. [DOI] [PubMed] [Google Scholar]
  • 7.Mihaylova B, Emberson J, Blackwell L, Keech A, Simes J, Barnes EH, et al. The effects of lowering LDL cholesterol with statin therapy in people at low risk of vascular disease: meta-analysis of individual data from 27 randomised trials. Lancet. 2012;380:581–90. doi: 10.1016/S0140-6736(12)60367-5. doi:10.1016/S0140-6736(12)60367-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Baigent C, Keech A, Kearney PM, Blackwell L, Buck G, Pollicino C, et al. Efficacy and safety of cholesterol-lowering treatment: prospective meta-analysis of data from 90,056 participants in 14 randomised trials of statins. Lancet. 2005;366:1267–78. doi: 10.1016/S0140-6736(05)67394-1. doi:10.1016/S0140-6736(05)67394-1. [DOI] [PubMed] [Google Scholar]
  • 9.Baigent C, Blackwell L, Emberson J, Holland LE, Reith C, Bhala N, et al. Efficacy and safety of more intensive lowering of LDL cholesterol: a meta-analysis of data from 170,000 participants in 26 randomised trials. Lancet. 2010;376:1670–81. doi: 10.1016/S0140-6736(10)61350-5. doi:10.1016/S0140-6736(10)61350-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Park HE, Cho G-Y, Yoon YE, Youn T-J, Chun E-J, Choi S-I, et al. Statin therapy in patients with atypical chest pain and mild-to-moderate coronary stenosis on 64-slice multidetector coronary computed tomography; a retrospective propensity score matching analysis. Eur Radiol. 2013;23:2954–60. doi: 10.1007/s00330-013-2945-4. doi:10.1007/s00330-013-2945-4. [DOI] [PubMed] [Google Scholar]
  • 11.Collaborative meta-analysis of randomised trials of antiplatelet therapy for prevention of death, myocardial infarction, and stroke in high risk patients. BMJ. 2002;324:71–86. doi: 10.1136/bmj.324.7329.71. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Baigent C, Blackwell L, Collins R, Emberson J, Godwin J, Peto R, et al. Aspirin in the primary and secondary prevention of vascular disease: collaborative meta-analysis of individual participant data from randomised trials. Lancet. 2009;373:1849–60. doi: 10.1016/S0140-6736(09)60503-1. doi:10.1016/S0140-6736(09)60503-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Pignone M, Alberts MJ, Colwell JA, Cushman M, Inzucchi SE, Mukherjee D, et al. Aspirin for primary prevention of cardiovascular events in people with diabetes: a position statement of the American Diabetes Association, a scientific statement of the American Heart Association, and an expert consensus document of the American College. Circulation. 2010;121:2694–701. doi: 10.1161/CIR.0b013e3181e3b133. doi:10.1161/CIR.0b013e3181e3b133. [DOI] [PubMed] [Google Scholar]
  • 14.Standards of medical care in diabetes--2013. Diabetes Care. 2013;36(Suppl 1):S11–66. doi: 10.2337/dc13-S011. doi:10.2337/dc13-S011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Yusuf S, Sleight P, Pogue J, Bosch J, Davies R, Dagenais G. Effects of an angiotensin-converting-enzyme inhibitor, ramipril, on cardiovascular events in high-risk patients. The Heart Outcomes Prevention Evaluation Study Investigators. N Engl J Med. 2000;342:145–53. doi: 10.1056/NEJM200001203420301. doi:10.1056/NEJM200001203420301. [DOI] [PubMed] [Google Scholar]
  • 16.Danchin N, Cucherat M, Thuillez C, Durand E, Kadri Z, Steg PG. Angiotensin-converting enzyme inhibitors in patients with coronary artery disease and absence of heart failure or left ventricular systolic dysfunction: an overview of long-term randomized controlled trials. Arch Intern Med. 2006;166:787–96. doi: 10.1001/archinte.166.7.787. doi:10.1001/archinte.166.7.787. [DOI] [PubMed] [Google Scholar]
  • 17.Al-Mallah MH, Tleyjeh IM, Abdel-Latif AA, Weaver WD. Angiotensin-converting enzyme inhibitors in coronary artery disease and preserved left ventricular systolic function: a systematic review and meta-analysis of randomized controlled trials. J Am Coll Cardiol. 2006;47:1576–83. doi: 10.1016/j.jacc.2005.11.073. doi:10.1016/j.jacc.2005.11.073. [DOI] [PubMed] [Google Scholar]
  • 18.Shaw LJ, Hausleiter J, Achenbach S, Al-Mallah M, Berman DS, Budoff MJ, et al. Coronary Computed Tomographic Angiography as a Gatekeeper to Invasive Diagnostic and Surgical Procedures. J Am Coll Cardiol. 2012;60:2103–14. doi: 10.1016/j.jacc.2012.05.062. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

NIHMS646768-supplement.docx (147.3KB, docx)

RESOURCES