PROspective Multicenter Imaging Study for Evaluation of chest pain: rationale and design of the PROMISE trial

Beta-blockers and outcomes in low-risk CAD Clinical research study

OBJECTIVE

Our intent was to assess the relationship between beta-blocker use and outcomes in patients with chronic coronary artery disease diagnosed using noninvasive testing but without myocardial infarction or heart failure.

METHODS

Data from the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) study, a prospective randomized trial comparing the effectiveness of two noninvasive tests in patients with a low-to-intermediate likelihood of coronary artery disease, were subjected to post hoc analysis. Patients with a history of myocardial infarction or heart failure and those with missing data on beta-blocker use at baseline were excluded. Associations between baseline beta-blocker use and the primary composite outcome (all-cause death / myocardial infarction / unstable angina hospitalization) and secondary composite outcomes (cardiovascular death / myocardial infarction / unstable angina hospitalization, and myocardial infarction / unstable angina hospitalization) over a median follow-up period of 793 days were analyzed.

RESULTS

In total, 8,250 patients were enrolled and stratified into negative (87.5%, n = 7,215) and positive (12.5%, n = 1,035) cohorts based on noninvasive test results, of which 23.9% and 28.6% received beta-blockers, respectively. In both cohorts, patients who received beta-blockers had a similar risk of the primary composite outcome compared to those who did not receive beta-blockers (negative cohort: adjusted hazard ratio = 1.106, p = 0.586; positive cohort: adjusted hazard ratio = 1.077, p = 0.759). Similar results were observed for the secondary composite outcomes.

CONCLUSIONS

This non-randomized study showed that beta-blocker use did not affect the clinical outcomes in patients with chronic coronary artery disease diagnosed using noninvasive testing, if they had no myocardial infarction or heart failure.

Epidemiology of Coronary Atherosclerosis Among People Living With HIV in Uganda : A Cross-Sectional Study

BACKGROUND

Data on the prevalence of coronary atherosclerotic disease (CAD) in the African region among people with and without HIV are lacking.

OBJECTIVE

To estimate the prevalence of CAD in Uganda and determine whether well-controlled HIV infection is associated with increased presence or severity of CAD.

DESIGN

Cross-sectional study.

SETTING

Southwestern Uganda.

PARTICIPANTS

Ambulatory people living with HIV (PWH), aged older than 40 years, taking antiretroviral therapy for 3 or more years, and population-based, age- and sex-similar people without HIV (PWoH).

MEASUREMENTS

Participants had cardiovascular (CV) disease (CVD) risk profiling and computed tomography scanning for detection of CAD, defined as the presence of calcified or noncalcified plaque.

RESULTS

Of 630 screened, 586 (93%) met criteria and had evaluable images. Of these, 287 (49.0%) were PWH and nearly all (272 of 287 [95%]) were virologically suppressed. Mean age (57.9 vs. 57.4 years), proportion female (49%), and median CVD risk score (4.1 vs. 3.4) did not differ by HIV serostatus. The prevalence of CAD was low overall (45 of 586 [7.7%]) and among both PWH (26 of 287 [9.1%]) and PWoH (19 of 299 [6.4%]; absolute prevalence difference, 2.7% [95% CI, -1.6% to 7.0%]). Results were similar after adjustment for CVD risk factors.

LIMITATIONS

Our findings may not generalize to symptomatic populations or those with greater predicted CVD risk. The study was not powered to detect small differences in CAD prevalence between HIV subgroups. Both PWH and PWoH had similar CV risk factor profiles, but residual confounding between HIV and CAD cannot be excluded.

CONCLUSION

The prevalence of CAD in Uganda was low compared with population-based cohorts from the Global North with similar CVD risk profiles and was similar between HIV serostatus subgroups. Our results suggest that CAD may not be a major cause of morbidity in Uganda.

PRIMARY FUNDING SOURCE

National Institutes of Health.

Air pollution, coronary artery disease, and cardiovascular events: Insights from the PROMISE trial

BACKGROUND

Air pollution is associated with mortality and major adverse cardiovascular events (MACE) in the general population. However, little is known about the relationship between air pollution and coronary artery disease (CAD) and how this relates to MACE.

METHODS

This study utilized data from the computed tomography (CT) arm of the PROMISE trial investigating symptomatic individuals with suspected CAD. We linked levels of air pollutants (PM2·5, PM10, NO2, and ozone) at U.S. zip codes of residence CT-derived CAD and adjudicated MACE (all-cause death, myocardial infarction, and hospitalization for unstable angina). Multivariable analyses were adjusted for the ASCVD risk score and socioeconomic determinants of health. Mediation analyses were used to test putative pathways.

RESULTS

In 4343 individuals (48 ​% males; age: 61 ​± ​8 years), elevated exposures to PM2.5 (≥9.4 ​μg/m3) and NO2 (≥5.3 ​ppb) were independently associated with obstructive CAD (aOR ​= ​1.23, 95%CI: 1.03-1.48, p ​= ​0.024; aOR ​= ​1.56, 95%CI: 1.02-2.40, p ​= ​0.042), while there were no significant associations with PM10 (≥15 ​μg/m3) or ozone (≥51 ​ppb). Increased PM2.5, PM10 and ozone were independently associated with MACE (aHR ​= ​1.56, 95%CI: 1.12-2.18, p ​= ​0.008; aHR ​= ​2.09, 95%CI: 1.18-3.70, p ​= ​0.011, aHR ​= ​1.96, 95%CI: 1.20-3.21, p ​= ​0.008). In the mediation analysis, obstructive CAD accounted for 9 ​% of the total effect (p ​= ​0.012) between PM2.5 and MACE.

CONCLUSION

Exposure to air pollution, particularly PM2.5, was independently associated with obstructive CAD and MACE, with obstructive CAD mediating a small but significant portion of the association between air pollution and MACE.

Association between symptom characteristics and disease severity in patients suspected of coronary artery disease

BACKGROUND

Discrepancies often exist between patient-reported symptoms and diagnostic test findings in patients with suspected obstructive coronary artery disease (CAD).

OBJECTIVES

To quantify the association between patient-reported symptoms and the diagnosis of severe stenosis in patients with suspected obstructive CAD.

METHODS

Two large-scale cohorts of patients with new-onset symptoms suggestive of obstructive CAD were evaluated. Chest discomfort was assessed by typicality, location, type, exertional/stress factors, and relief with rest/nitroglycerine. Patients underwent non-invasive diagnostic testing (coronary computed tomographic angiography (CCTA) or functional testing), followed by test-result-driven invasive coronary angiography (ICA). Severe stenosis was defined as ≥70 ​% diameter stenosis on ICA. Sensitivity analyses included CCTA stenosis, functional abnormalities, and revascularization.

RESULTS

Of 14,410 patients, 2093 (14.5 ​%) were referred for ICA, and 765 (5.3 ​%) were diagnosed with severe stenosis. Patients with typical angina (n ​= ​224) had higher odds of being diagnosed with severe stenosis on ICA (OR and 95 ​% CIs: 2.84 [2.40-3.34]) than those with atypical or non-anginal symptoms. In patients diagnosed with severe stenosis on ICA, those with exertional/stress factors (n ​= ​418; OR [95 ​% CI]: 2.50 [2.16-2.90]) and relief with rest/nitroglycerine (n ​= ​318, 2.28; [1.96-2.65]) had higher odds compared to those without. Patients reporting pressure or burning pain had higher odds of severe stenosis. Associations were consistent across sex and age groups, and sensitivity references.

CONCLUSIONS

Exertional/stress-related chest discomfort and relief with rest/nitroglycerine increased the odds of severe stenosis in patients with suspected CAD undergoing test-result-driven ICA, while location and type of chest pain were less associated, with no differences across sex or age groups.

Applications of Artificial Intelligence for the Prediction and Diagnosis of Cancer Therapy-Related Cardiac Dysfunction in Oncology Patients

Cardiovascular diseases and cancer are the leading causes of morbidity and mortality in modern society. Expanding cancer therapies that have improved prognosis may also be associated with cardiotoxicity, and extended life span after survivorship is associated with the increasing prevalence of cardiovascular disease. As such, the field of cardio-oncology has been rapidly expanding, with an aim to identify cardiotoxicity and cardiac disease early in a patient who is receiving treatment for cancer or is in survivorship. Artificial intelligence is revolutionizing modern medicine with its ability to identify cardiac disease early. This article comprehensively reviews applications of artificial intelligence specifically applied to electrocardiograms, echocardiography, cardiac magnetic resonance imaging, and nuclear imaging to predict cardiac toxicity in the setting of cancer therapies, with a view to reduce early complications and cardiac side effects from cancer therapies such as chemotherapy, radiation therapy, or immunotherapy.

Coronary Artery Disease and Major Adverse Cardiovascular Events in People With Hepatic Steatosis at Low Atherosclerotic Cardiovascular Disease Risk

BACKGROUND

Hepatic steatosis (HS) and 10-year atherosclerotic cardiovascular disease (ASCVD) risk ≥ 7.5% are associated with increased risk for cardiovascular events.

AIM

To assess underlying coronary artery disease (CAD) and major adverse cardiovascular event (MACE) among those with and without HS at different ASCVD risk.

METHODS

We evaluated stable chest pain patients receiving coronary computed tomography (CT) in the PROMISE trial. HS and CAD endpoints were defined on coronary CT. MACE was defined as unstable angina, non-fatal myocardial infarction, and all-cause death. Multivariable Cox regression, adjusting for CAD characteristics, assessed the association of HS with MACE for ASCVD < 7.5%.

RESULTS

One thousand two hundred and four of 3702 (32.5%) patients were at ASCVD < 7.5% and 20.3% (244/1204) of them had HS. Individuals with HS were younger (54.3 ± 5.2 vs. 55.8 ± 5.2; p < 0.001), more often males (40.2% [98/244] vs. 27.1% [260/960]; p < 0.001), had more risk factors/person (2.06 ± 0.89 vs. 1.93 ± 0.91; p = 0.047). CAD characteristics were similar between HS vs. non-HS patients at ASCVD < 7.5% and ASCVD ≥ 7.5% (all p > 0.05). Patients with HS had greater MACE rate compared to non-HS patients (ASCVD < 7.5%: 3.75%[9/244] vs. 1.5% [14/960]; p = 0.027 and ASCVD ≥ 7.5%: 4.7% [33/696] vs. 3.1% [56/1802]; p = 0.043). In patients without HS, MACE rate was higher in the ASCVD ≥ 7.5% vs. < 7.5% (3.1% [56/1802] vs. 1.5% [14/960]; p = 0.011). In patients with HS, MACE rates were not significantly different between ASCVD ≥ 7.5% vs. < 7.5% (4.7% [33/696] vs. 3.7% [9/244]; p = 0.484). In ASCVD < 7.5%, HS predicted MACE (aHR:2.34, 95%CI:1.01-5.43; p = 0.048), independent of CAD characteristics.

CONCLUSIONS

Individuals with HS at ASCVD < 7.5% risk had similar CAD characteristics as patients without HS at < 7.5% ASCVD risk, yet experienced comparable MACE rates as those at ASCVD ≥ 7.5%.

Acoustic-based rule-out of stable coronary artery disease: the FILTER-SCAD trial

BACKGROUND AND AIMS

Overtesting of low-risk patients with suspect chronic coronary syndrome (CCS) is widespread. The acoustic-based coronary artery disease (CAD)-score has superior rule-out capabilities when added to pre-test probability (PTP). FILTER-SCAD tested whether providing a CAD-score and PTP to cardiologists was superior to PTP alone in limiting testing.

METHODS

At six Danish and Swedish outpatient clinics, patients with suspected new-onset CCS were randomized to either standard diagnostic examination (SDE) with PTP, or SDE plus CAD-score, and cardiologists provided with corresponding recommended diagnostic flowcharts. The primary endpoint was cumulative number of diagnostic tests at one year and key safety endpoint major adverse cardiac events (MACE).

RESULTS

In total, 2008 patients (46% male, median age 63 years) were randomized from October 2019 to September 2022. When randomized to CAD-score (n = 1002), it was successfully measured in 94.5%. Overall, 13.5% had PTP ≤ 5%, and 39.5% had CAD-score ≤ 20. Testing was deferred in 22% with no differences in diagnostic tests between groups (P for superiority = .56). In the PTP ≤ 5% subgroup, the proportion with deferred testing increased from 28% to 52% (P < .001). Overall MACE was 2.4 per 100 person-years. Non-inferiority regarding safety was established, absolute risk difference 0.49% (95% confidence interval -1.96-0.97) (P for non-inferiority = .003). No differences were seen in angina-related health status or quality of life.

CONCLUSIONS

The implementation strategy of providing cardiologists with a CAD-score alongside SDE did not reduce testing overall but indicated a possible role in patients with low CCS likelihood. Further strategies are warranted to address resistance to modifying diagnostic pathways in this patient population.

Association Between Lipoprotein(a) and Obstructive Coronary Artery Disease and High-Risk Plaque: Insights From the PROMISE Trial

The role of lipoprotein (a) (Lp[a]) in the development of obstructive coronary artery disease (CAD) and high-risk plaque (HRP) in primary prevention patients with stable chest pain is unknown. We sought to evaluate the relation of Lp(a), independent of low-density lipoprotein cholesterol (LDL-C), with the presence of obstructive CAD and HRP to improve understanding of the residual risk imparted by Lp(a) on CAD. We performed a secondary analysis in Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) Trial participants who had coronary computed tomographic angiography (CTA) performed and Lp(a) data available. Lp(a) concentration was analyzed as a binary variable, with elevated Lp(a) defined as ≥50 mg/100 ml. "Stenosis ≥50%" was defined as ≥50% coronary artery stenosis in any epicardial vessel, and "stenosis ≥70%" was defined as ≥70% coronary artery stenosis in any epicardial vessel and/or ≥50% left main coronary artery stenosis. HRP was defined as presence of plaque on CTA imaging with evidence of positive remodeling, low computed tomography attenuation, or napkin-ring sign. Multivariate logistic regression models were constructed to evaluate the association between Lp(a) and the outcomes of obstructive CAD and HRP stratified by LDL-C ≥100 versus <100 mg/100 ml. Of the 1,815 patients who underwent CTA and had Lp(a) data available, those with elevated Lp(a) were more commonly women and Black than those with lower Lp(a). Elevated Lp(a) was associated with stenosis ≥50% (odds ratio 1.57, 95% confidence interval 1.14 to 2.15, p = 0.005) and stenosis ≥70% (odds ratio 2.05, 95% confidence interval 1.34 to 3.11, p = 0.0008) in the multivariate models, and this relation was not modified by LDL-C ≥100 versus <100 mg/100 ml (interaction p >0.4). Elevated Lp(a) was not associated with HRP when adjusted for obstructive CAD. This study of patients without known CAD found that elevated Lp(a) ≥50 mg/100 ml was independently associated with the presence of obstructive CAD regardless of controlled versus uncontrolled LDL-C but was not independently associated with HRP when stenosis ≥50% or ≥70% was accounted for. Further research is warranted to delineate the role of Lp(a) in the residual risk for atherosclerotic cardiovascular disease that patients may have despite optimal LDL-C lowering.

A Robust and Data-Efficient Deep Learning Modelfor Cardiac Assessment without Segmentation

Video-based deep learning (DL) algorithms often rely on segmentation models to detect clinically important features in transthoracic echocardiograms (TTEs). While effective, these algorithms can be too data hungry for practice and may be sensitive to common data quality issues. To overcome these concerns, we present a data-efficient DL algorithm, Scaled Gumbel Softmax (SGS) EchoNet, that is robust to these common data quality issues and, importantly, requires no ventricular segmentation model. In lieu of a segmentation model, we decompose and transform the output of an R(2+1)D convolutional encoder to estimate frame-level weights associated with the cardiac cycle, that are then used to obtain a video representation that can be used for estimation. We find that our transformation obviates the need for a segmentation model while improving the ability of the predictive model to handle noisy inputs. We show that our model achieves comparable performance to the state of the art, while demonstrating robustness to noise on an independent (external) validation set.

National cost savings, operational and safety benefits from use of magnetocardiography in the assessment of emergency department chest pain patients

Study objectives

Patients frequently present to the emergency department (ED) with chest pain requiring further risk stratification. Traditional cardiac diagnostics such as stress testing may expose patients to ionizing radiation, may not be readily available, may take significant time for testing and interpretation, and adds cost to the workup. Magnetocardiography (MCG) is an alternative approach to assess candidates more quickly and efficiently than routine downstream testing.

Design

We created and ran 1000 trials of a Monte Carlo simulation. Using this simulation, we modeled the national annual impact by averting further cardiac diagnostics.

Setting

All EDs in the United States.

Participants

All ED adult patients with chest pain.

Interventions

Simulated use of MCG to reduce avoidable downstream cardiac diagnostics.

Main outcome measures

Our primary outcome was to estimate the impact of an MCG-first strategy on the annual national cost savings among eligible patients in the ED. Our secondary outcomes were the estimated reduction in short-stay hospitalizations, cancer cases, and cancer deaths due to radiation exposure.

Results

An MCG-first strategy was estimated to save a mean (±SD) of $574 million (±$175 million) by avoiding 555,000 (±93,000) downstream cardiac diagnostic tests. This resulted in a national annual cumulative decrease of 500,000 (±84,000) hospitalizations, 7,600,000 (±1,500,000) bed hours, 409 (±110) new cancer diagnoses, and 210 (±56) new cancer deaths due to radiation exposure from avoidable cardiac diagnostics.

Conclusions

If adopted widely and used consistently, an MCG-first strategy among eligible patients could yield substantial benefits by averting avoidable cardiac diagnostic testing.

Sex Differences in Fractional Flow Reserve Utilization

Background: The literature review shows that female patients are more frequently underdiagnosed or suffer from delayed diagnosis. Recognition of sex-related differences is crucial for implementing strategies to improve cardiovascular outcomes. We aimed to assess sex-related disparities in the frequency of fractional flow reserve (FFR)-guided procedures in patients who underwent angiography and/or percutaneous coronary intervention (PCI). Methods: We have derived the data from the national registry of percutaneous coronary interventions and retrospectively analyzed the data of more than 1.4 million angiography and/or PCI procedures [1,454,121 patients (62.54% men and 37.46% women)] between 2014 and 2022. The logistic regression analysis was conducted to explore whether female sex was associated with FFR utilization. Results: The FFR was performed in 61,305 (4.22%) patients and more frequently in men than women (4.15% vs. 3.45%, p < 0.001). FFR was more frequently assessed in females with acute coronary syndrome than males (27.75% vs. 26.08%, p < 0.001); however, women with chronic coronary syndrome had FFR performed less often than men (72.25% vs. 73.92%, p < 0.001). Females with FFR-guided procedures were older than men (69.07 (±8.87) vs. 65.45 (±9.38) p < 0.001); however. less often had a history of myocardial infarction (MI) (24.79% vs. 36.73%, p < 0.001), CABG (1.62% vs. 2.55%, p < 0.005) or PCI (36.6% vs. 24.79%, p < 0.001) compared to men. Crude comparison has shown that male sex was associated with a higher frequency of FFR assessment (OR = 1.2152-1.2361, p < 0.005). Conclusions: Despite a substantial rise in FFR utilization, adoption in women remains lower than in men. Female sex was found to be an independent negative predictor of FFR use.

Performance of the 2019 ESC pre-test probability model in predicting obstructive coronary artery disease in a Chinese population using coronary computed tomography angiography outcomes

BACKGROUND

The 2019 European Society of Cardiology (ESC) guidelines proposed a pre-test probability (PTP) model to determine the likelihood of coronary artery disease (CAD). However, the prediction accuracy of this model has not yet been evaluated in Chinese populations. This study aimed to validate the 2019 ESC-PTP model in predicting CAD using coronary computed tomography angiography (CCTA) outcomes in a Chinese population.

METHODS

A total of 26,346 consecutive patients with suspected CAD who underwent CCTA were included. The 2019 ESC-PTP model and 2013 ESC-PTP model were calculated for each patient, considering age, sex, and the symptom of chest pain, and the patients were categorized into low-, intermediate-, and high-risk groups. The predictive performance of the 2019 ESC-PTP model was evaluated by comparing it with the 2013 ESC-PTP model and the observed prevalence of CAD from CCTA.

RESULTS

Among the 11,234 patients analyzed in the study, 1896 (16.9%) patients were found to have obstructive CAD from CCTA. The 2019 ESC-PTP model had better calibration compared to the 2013 ESC-PTP model. After categorization, 80.9% of patients (67.9% in men and 94.4% in women) were in the same risk category as in the 2019 ESC-PTP model, but the risks of younger patients (7.5% versus 2.5%; P ​< ​0.001) and patients with non-anginal chest pain (13.7% versus 8.2%; P ​< ​0.001) were underestimated in the 2019 ESC-PTP model.

CONCLUSION

The 2019 ESC-PTP model demonstrated a good calibration in predicting CAD in a Chinese population who underwent CCTA, but it exhibited an underestimation of CAD probability in younger patients and patients with non-anginal chest pain.

Calcium Scoring Improves Clinical Management in Patients With Low Clinical Likelihood of Coronary Artery Disease

BACKGROUND

Coronary artery calcium scoring (CACS) improves management of chest pain patients. However, it is unknown whether the benefit of CACS is dependent on the clinical likelihood (CL).

OBJECTIVES

This study aims to investigate for which patients CACS has the greatest benefit when added to a CL model.

METHODS

Based on data from a clinical database, the CL of obstructive coronary artery disease (CAD) was calculated for 39,837 patients referred for cardiac imaging due to symptoms suggestive of obstructive CAD. Patients were categorized according to the risk factor-weighted (RF-CL) model (very low, ≤5%; low, >5 to ≤15%; moderate >15 to ≤50%; high, >50%). CL was then recalculated incorporating the CACS result (CACS-CL). Reclassification rates and the number needed to test with CACS to reclassify patients were calculated and validated in 3 independent cohorts (n = 9,635).

RESULTS

In total, 15,358 (39%) patients were down- or upclassified after including CACS. Reclassification rates were 8%, 75%, 53%, and 30% in the very low, low, moderate, and high RF-CL categories, respectively. Reclassification to very low CACS-CL occurred in 48% of reclassified patients. The number needed to test to reclassify 1 patient from low RF-CL to very low CACS-CL was 2.1 with consistency across age, sex, and cohorts. CACS-CL correlated better to obstructive CAD prevalence than RF-CL.

CONCLUSIONS

Added to an RF-CL model for obstructive CAD, CACS identifies more patients unlikely to benefit from further testing. The number needed to test with CACS to reclassify patients depends on the pretest RF-CL and is lowest in patients with low (>5% to ≤15%) likelihood of CAD.

Lipoprotein subclasses are associated with Hepatic steatosis: insights from the prospective multicenter imaging study for the evaluation of chest pain (PROMISE) clinical trial

Objectives

To determine the relationship between lipoprotein particle size/number with hepatic steatosis (HS), given its association with traditional lipoproteins and coronary atherosclerosis.

Methods

Individuals with available CT data and blood samples enrolled in the PROMISE trial were studied. HS was defined based on CT attenuation. Lipoprotein particle size/number were measured by nuclear magnetic resonance spectroscopy. Principal components analysis (PCA) was used for dimensionality reduction. The association of PCA factors and individual lipoprotein particle size/number with HS were assessed in multivariable regression models. Associations were validated in an independent cohort of 59 individuals with histopathology defined HS.

Results

Individuals with HS (n=410/1,509) vs those without (n=1,099/1,509), were younger (59±8 vs 61±8 years) and less often females (47.6 % vs 55.9 %). All PCA factors were associated with HS: factor 1 (OR:1.36, 95 %CI:1.21-1.53), factor 3 (OR:1.75, 95 %CI:1.53-2.02) and factor 4 (OR:1.49; 95 %CI:1.32-1.68) were weighted heavily with small low density lipoprotein (LDL) and triglyceride-rich (TRL) particles, while factor 2 (OR:0.86, 95 %CI:0.77-0.97) and factor 5 (OR:0.74, 95 %CI:0.65-0.84) were heavily loaded with high density lipoprotein (HDL) and larger LDL particles. These observations were confirmed with the analysis of individual lipoprotein particles in PROMISE. In the validation cohort, association between HS and large TRL (OR: 8.16, 95 %CI:1.82-61.98), and mean sizes of TRL- (OR: 2.82, 95 %CI:1.14-9.29) and HDL (OR:0.35, 95 %CI:0.13-0.72) were confirmed.

Conclusions

Large TRL, mean sizes of TRL-, and HDL were associated with radiographic and histopathologic HS. The use of lipoprotein particle size/number could improve cardiovascular risk assessment in HS.

Computed tomography fractional flow reserve discrepancies with invasive angiography and physiology - Case series

BACKGROUND

Computed tomography with fractional flow reserve (CT-FFR) is increasingly common in assessing coronary artery disease.

CASE PRESENTATION

We report five cases of discrepancies that led to changes in treatment.

CONCLUSIONS

This report highlights discordant findings between modalities, which should be considered during the diagnostic assessment of chest pain.

Coronary stenosis quantification in cardiac computed tomography angiography: multi-factorial optimization of image quality and radiation dose

Background

The accuracy and variability of quantification in computed tomography angiography (CTA) are affected by the interplay of imaging parameters and patient attributes. The assessment of these combined effects has been an open engineering challenge.

Purpose

In this study, we developed a framework that optimizes imaging parameters for accurate and consistent coronary stenosis quantification in cardiac CTA while accounting for patient-specific variables.

Methods

The framework utilizes a task-specific image quality index, the estimability index (e ' ), approximated by a surrogate estimability polynomial function (EPF) capable of finding the optimal protocol that (1) maximizes image quality with an upper bound for desired radiation dose or (2) minimizes the dose level with a lower bound of acceptable image quality. The optimization process was formulated with the decision variables being subject to a set of constraints. The methodology was verified using CTA data from a prior clinical trial (prospective multi-center imaging study for evaluation of chest pain) by assessing the concordance of its prediction with the trial results. Further, the framework was used to derive an optimum protocol for each case based on the patient attributes, gauging how much improvement would have been possible if the derived optimized protocol would have been deployed.

Results

The framework produced results consistent with imaging physics principles with approximated EPFs of 97% accuracy. The feature importance evaluation demonstrated a close match with earlier studies. The verification study found e ' scores closely predicting the cardiologist scores to within 95% in terms of the area under the receiver operating characteristic curve and predicting potential for either an average of fourfold increase in e ' within a targeted dose or a reduction in radiation dose by an average of 57% without reducing the image quality.

Conclusions

The protocol optimization framework provides means to assess and optimize CTA in terms of either image quality or radiation dose objectives with its results predicting prior clinical trial findings.

Sex differences in the management of atherosclerotic cardiovascular disease

Disparities between women and men persist in the diagnosis, treatment, and prognosis of atherosclerotic cardiovascular disease (ASCVD). Despite growing attention to sex-based differences in cardiovascular care, there are continued disparities in short- and long-term outcomes. Such disparities highlight the need to identify pathophysiologic differences in treatment patterns for stable ischemic heart disease, non-ST elevation myocardial infarction (NSTE-ACS), ST-elevation myocardial infarction (STEMI), and myocardial infarction with non-obstructive coronary arteries (MINOCA). The role of age as an effect modifier should also be considered given that young women diagnosed with ACS continue to experience increased rates of in-hospital mortality and major adverse cardiovascular events. Both patient-directed and systems-based approaches remain integral to improve outcomes in cardiovascular care. While inadequate representation of women in clinical trials remains a barrier to the implementation of evidence-based therapies, a growing body of data has established the efficacy and safety of medications in women across acute coronary syndromes. This review seeks to feature existing data on the differential treatment guidelines, care implementation, and cardiovascular outcomes between women and men, highlighting next directions for clinical investigation.

Comparison of two diagnostic strategies for patients with stable chest pain suggestive of chronic coronary syndrome: rationale and design of the double-blind, pragmatic, randomized and controlled OPERATE Trial

BACKGROUND

To achieve potential financial savings and avoid exposing the patients to unnecessary risk, an optimal diagnostic strategy to identify low risk individual who may derive minimal benefit from further cardiac imaging testing (CIT) is important for patients with stable chest pain (SCP) suggestive of chronic coronary syndrome (CCS). Although several diagnostic strategies have been recommended by the most recent guidelines, few randomized controlled trials (RCTs) have prospectively investigated the actual effect of applying these strategies in clinical practice.

METHODS

OPERATE (OPtimal Evaluation of stable chest pain to Reduce unnecessAry utilization of cardiac imaging TEsting) trial is an investigator-initiated, multicenter, coronary computed tomography angiography (CCTA)-based, 2-arm parallel-group, double-blind, pragmatic and confirmative RCT planning to include 800 subjects with SCP suggestive of CCS. After enrollment, all subjects will be randomized to two arms (2016 U.K. National Institute of Health and Care Excellence guideline-determined and 2019 European Society of Cardiology guideline-determined diagnostic strategy) on a 1:1 basis. According to each strategy, CCTA should be referred and deferred for a subject in high and low risk group, respectively. The primary (effectiveness) endpoint is CCTA without obstructive coronary artery disease. Safety of each strategy will be mainly assessed by 1-year major adverse cardiovascular event rates.

DISCUSSION

The OPERATE trial will provide comparative effectiveness and safety evidences for two different diagnostic strategies for patients with SCP suggestive of CCS, with the intension of improving the diagnostic yield of CCTA at no expense of safety.

CLINICAL TRIAL REGISTRATION

ClinicalTrial.org Identifier NCT05640752.

Prognostic value of CT-derived coronary artery disease characteristics varies by ASCVD risk: insights from the PROMISE trial

OBJECTIVES

To compare the prognostic value of individual CT-derived coronary artery disease (CAD) characteristics across categories of clinical cardiovascular risk.

METHODS

The central core laboratory assessed coronary artery calcium (CAC), obstructive CAD (stenosis ≥ 50%), and high-risk plaque (HRP) in stable outpatients with suspected CAD enrolled in the PROMISE trial. Multivariable Cox regression models (endpoint: unstable angina, nonfatal myocardial infarction, or all-cause mortality; median follow-up: 2 years) were used to compare hazard ratios (HR) of the CT measures between low-borderline (< 7.5%) and moderate-high (≥ 7.5%) atherosclerotic cardiovascular disease (ASCVD) risk based on the pooled cohort equation.

RESULTS

Among 4356 included patients (aged 61 ± 8 years, 52% women), 67% had ASCVD risk ≥ 7.5%. Stratified by ASCVD risk, CAD ≥ 50% had nearly threefold greater HR in individuals with ASCVD < 7.5% (aHR, 6.85; 95% CI, 2.33-20.15; p < 0.001) vs. ASCVD ≥ 7.5% (aHR: 2.66, 95% CI: 1.67-4.25, p < 0.001; interaction p = 0.041). CAC predicted events solely in ASCVD ≥ 7.5% patients (aHR: 1.92, 95% CI: 1.01-3.63, p = 0.045; interaction p = 0.571), while HRP predicted events only in ASCVD < 7.5% (aHR: 3.11, 95% CI: 1.09-8.85, p = 0.034; interaction p = 0.034).

CONCLUSIONS

Prognostic values of CT-derived CAD characteristics differ by ASCVD risk categories. While CAD ≥ 50% has the highest prognostic value regardless of ASCVD risk, CAC is prognostic in high and HRP in low ASCVD risk. These findings suggest that CAD ≥ 50% and HRP detection rather than CAC scoring may better risk-stratify symptomatic low-risk patients and thus potentially improve downstream care.

KEY POINTS

• Prognostic value of individual CT-derived CAD characteristics differs by categories of cardiovascular risk. • Presence of obstructive coronary artery stenosis ≥ 50% has the highest prognostic value regardless of cardiovascular risk. • Coronary artery calcium is independently prognostic in high and high-risk plaque features in low cardiovascular risk.

Danish study of Non-Invasive Testing in Coronary Artery Disease 3 (Dan-NICAD 3): study design of a controlled study on optimal diagnostic strategy

INTRODUCTION

Current guideline recommend functional imaging for myocardial ischaemia if coronary CT angiography (CTA) has shown coronary artery disease (CAD) of uncertain functional significance. However, diagnostic accuracy of selective myocardial perfusion imaging after coronary CTA is currently unclear. The Danish study of Non-Invasive testing in Coronary Artery Disease 3 trial is designed to evaluate head to head the diagnostic accuracy of myocardial perfusion imaging with positron emission tomography (PET) using the tracers ⁸²Rubidium (⁸²Rb-PET) compared with oxygen-15 labelled water PET (¹⁵O-water-PET) in patients with symptoms of obstructive CAD and a coronary CT scan with suspected obstructive CAD.

METHODS AND ANALYSIS

This prospective, multicentre, cross-sectional study will include approximately 1000 symptomatic patients without previous CAD. Patients are included after referral to coronary CTA. All patients undergo a structured interview and blood is sampled for genetic and proteomic analysis and a coronary CTA. Patients with possible obstructive CAD at coronary CTA are examined with both ⁸²Rb-PET, ¹⁵O-water-PET and invasive coronary angiography with three-vessel fractional flow reserve and thermodilution measurements of coronary flow reserve. After enrolment, patients are followed with Seattle Angina Questionnaires and follow-up PET scans in patients with an initially abnormal PET scan and for cardiovascular events in 10 years.

ETHICS AND DISSEMINATION

Ethical approval was obtained from Danish regional committee on health research ethics. Written informed consent will be provided by all study participants. Results of this study will be disseminated via articles in international peer-reviewed journal.

TRIAL REGISTRATION NUMBER

NCT04707859.

Cardiac symptoms and yield of diagnostic tests among primary care patients with and without diabetes

AIMS

To compare the symptoms, diagnostic tests used, and clinical diagnoses made among diabetic and non-diabetic patients.

METHODS

This is a register-based study of 704 primary care patients referred electively to cardiology specialists in the city of Turku, Finland, during the year 2016. The patient's medical history, cardiovascular medication use, risk factors, cardiac symptoms, diagnostic tests applied, and diagnoses made were gathered from the medical records. The angiography data was derived from the Hospital District of Southwest Finland data pool.

RESULTS

Of the cohort, 120 (17 %) patients had diabetes mellitus. They were on average older (67 vs. 63 years, p = 0.009) and more often females (62 % vs. 38 %, p = 0.042) than the non-diabetic patients. Chest pain or discomfort was the most prevalent symptom in the diabetic patients and a sense of arrhythmia in the non-diabetic subjects. Ischemic heart disease was diagnosed more often in the person with diabetes (15 %) than in the non-diabetic (6 %) patients (p = 0.004). Cardiac arrhythmias were diagnosed in 26 % of the non-diabetic and 20 % of the diabetic subjects (p = 0.021).

CONCLUSIONS

Symptoms that might indicate heart disease, especially chest pain/discomfort, are common in both the diabetic and the non-diabetic patients in primary care. Several diagnostic tests are applied, possibly not to miss a life-threatening disease. However, many patients do not get a specific diagnosis for their concerns.

Artificial intelligence in atherosclerotic disease: Applications and trends

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death globally. Increasing amounts of highly diverse ASCVD data are becoming available and artificial intelligence (AI) techniques now bear the promise of utilizing them to improve diagnosis, advance understanding of disease pathogenesis, enable outcome prediction, assist with clinical decision making and promote precision medicine approaches. Machine learning (ML) algorithms in particular, are already employed in cardiovascular imaging applications to facilitate automated disease detection and experts believe that ML will transform the field in the coming years. Current review first describes the key concepts of AI applications from a clinical standpoint. We then provide a focused overview of current AI applications in four main ASCVD domains: coronary artery disease (CAD), peripheral arterial disease (PAD), abdominal aortic aneurysm (AAA), and carotid artery disease. For each domain, applications are presented with refer to the primary imaging modality used [e.g., computed tomography (CT) or invasive angiography] and the key aim of the applied AI approaches, which include disease detection, phenotyping, outcome prediction, and assistance with clinical decision making. We conclude with the strengths and limitations of AI applications and provide future perspectives.

Risk factors for cardiovascular disease among individuals with hepatic steatosis

Cardiovascular disease (CVD) is the leading cause of mortality in adults with hepatic steatosis (HS). However, risk factors for CVD in HS are unknown. We aimed to identify factors associated with coronary artery disease (CAD) and incident major adverse cardiovascular events (MACE) in individuals with HS. We performed a nested cohort study of adults with HS detected on coronary computed tomography in the PROspective Multicenter Imaging Study for Evaluation of chest pain (PROMISE) trial. Obstructive CAD was defined as ≥50% coronary stenosis. MACE included hospitalization for unstable angina, nonfatal myocardial infarction, or all-cause death. Multivariate modeling, adjusted for age, sex, atherosclerotic CVD (ASCVD) risk score and body mass index, identified factors associated with obstructive CAD. Cox regression, adjusted for ASCVD risk score, determined the predictors of MACE. A total of 959 of 3,756 (mean age 59.4 years, 55.0% men) had HS. Obstructive CAD was present in 15.2% (145 of 959). Male sex (adjusted odds ratio [aOR] = 1.83, 95% confidence interval [CI] 1.18-1.2.84; p = 0.007), ASCVD risk score (aOR = 1.05, 95% CI 1.03-1.07; p < 0.001), and n-terminal pro-b-type natriuretic peptide (NT-proBNP; aOR = 1.90, 95% CI 1.38-2.62; p < 0.001) were independently associated with obstructive CAD. In the 25-months median follow-up, MACE occurred in 4.4% (42 of 959). Sedentary lifestyle (adjusted hazard ratio [aHR] = 2.53, 95% CI 1.27-5.03; p = 0.008) and NT-proBNP (aOR = 1.50, 95% CI 1.01-2.25; p = 0.046) independently predicted MACE. Furthermore, the risk of MACE increased by 3% for every 1% increase in ASCVD risk score (aHR = 1.03, 95% CI 1.01-1.05; p = 0.02). Conclusion: In individuals with HS, male sex, NT-pro-BNP, and ASCVD risk score are associated with obstructive CAD. Furthermore, ASCVD, NT-proBNP, and sedentary lifestyle are independent predictors of MACE. These factors, with further validation, may help risk-stratify adults with HS for incident CAD and MACE.

Evaluation of the Appropriate Use of Coronary Computed Tomography Angiography: A Retrospective, Single-Center Analysis

Purpose: We assessed the application of appropriate use criteria of coronary computed tomography angiography (CCTA) in comparison to invasive coronary angiography results and revascularization rates in patients with coronary artery disease (CAD). Methods: 1305 patients referred to invasive coronary angiography (ICA) after CCTA were evaluated retrospectively. The primary indication for CCTA was assessed according to the consensus for intermediate-risk (15−85% pre-test probability) into appropriate (A), inappropriate (I), and uncertain while referring to published guidelines. Patients’ risk factors, angina, and heart failure symptoms (Canadian Cardiovascular Society classification (CCSC), New York Heart Association (NYHA); clinical data; and ICA results were gathered. Results: Of 1305 patients referred to CCTA prior to ICA, 496 (38.0%) were appropriate, 766 (56.9%) inappropriate, and 43 (3.3%) uncertain. Of 766 patients with inappropriate CCTA referrals, 370 (48.3%) were classified as “inappropriately low” (<15% pre-test probability) and 396 (51.7%) as “inappropriately high” (>85%) in regard to the recommended CCTA utilization. Sub-analysis of the adherence to the appropriate use criteria did not differ between the source of the referring physicians (intramural tertiary, private practice primary care, or external secondary care hospitals). Obstructive CAD with subsequent revascularization rates (total of 39.2%) did not differ significantly between the appropriate (38.3%), inappropriate (41.0%), or uncertain (23.3%) groups (p = 0.068). Conclusion: The total coronary revascularization rate after CCTA was 39.2% and not different among low, intermediate, and pre-test probability groups. These findings support the role of CCTA as an excellent gatekeeper in patients with suspected obstructive CAD even beyond pre-test probability calculation models.

Diagnostic and Clinical Value of FFRCT in Stable Chest Pain Patients With Extensive Coronary Calcification: The FACC Study

BACKGROUND

The influence of extensive coronary calcifications on the diagnostic and prognostic value of coronary computed tomography angiography-derived fractional flow reserve (FFR_CT) has been scantily investigated.

OBJECTIVES

The purpose of this study was to investigate the diagnostic and short-term role of FFR_CT in chest pain patients with Agatston score (AS) >399.

METHODS

This was a prospective multicenter study of 260 stable patients with suspected coronary artery disease (CAD) and AS >399. FFR_CT was measured blinded by an independent core laboratory. All patients underwent invasive coronary angiography (ICA) and FFR if indicated. The agreement of FFR_CT ≤0.80 with hemodynamically significant CAD on ICA/FFR (≥50% left main or ≥70% epicardial artery stenosis and/or FFR ≤0.80) was assessed. Patients undergoing FFR had colocation FFR_CT measured, and the lowest per-patient FFR_CT was registered in all patients. The association among per-patient FFR_CT, coronary revascularization, and major clinical events (all-cause mortality, myocardial infarction, or unstable angina hospitalization) at 90-day follow-up was evaluated.

RESULTS

Median age and AS were 68.5 years (IQR: 63-74 years) and 895 (IQR: 587-1,513), respectively. FFR_CT was ≤0.80 in 204 patients (78%). Colocation FFR_CT (n = 112) showed diagnostic accuracy, sensitivity, and specificity to identify hemodynamically significant CAD of 71%, 87%, and 54%. The area under the receiver-operating characteristics curve (AUC) was 0.75. When using the lowest FFR_CT (n = 260), per-patient accuracy, sensitivity, and specificity were 57%, 95%, and 32%, respectively. The AUC was 0.84. A total of 85 patients underwent revascularization, and FFR_CT was ≤0.80 in 96% of these. During follow-up, major clinical events occurred in 3 patients (1.2%), all with FFR_CT ≤0.80.

CONCLUSIONS

Most patients with AS >399 had FFR_CT ≤0.80. Using ICA/FFR as the reference revealed a moderate diagnostic accuracy of colocation FFR_CT. Compared with the lowest per-patient FFR_CT, colocation FFR_CT measurement improved diagnostic accuracy and specificity. The 90-day follow-up was favorable with few coronary revascularizations and no major clinical events occurring in patients with FFR_CT >0.80. (Use of FFR-CT in Stable Intermediate Chest Pain Patients With Severe Coronary Calcium Score [FACC]; NCT03548753).

Physician judgement in predicting obstructive coronary artery disease and adverse events in chest pain patients

OBJECTIVE

To evaluate informal physician judgement versus pretest probability scores in estimating risk in patients with suspected coronary artery disease (CAD).

METHODS

We included 4533 patients from the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) trial. Physicians categorised a priori the pretest probability of obstructive CAD (≥70% or ≥50% left main); Diamond-Forrester (D-F) and European Society of Cardiology (ESC) pretest probability estimates were calculated. Agreement was calculated using the κ statistic; logistic regression evaluated estimates of pretest CAD probability and actual CAD (as determined by CT coronary angiography), and clinical outcomes were modelled using Cox proportional hazard models.

RESULTS

Physician estimates agreed poorly with D-F (κ 0.16; 95% CI 0.14 to 0.18) and ESC (κ 0.04; 95% CI 0.02 to 0.05). Actual obstructive CAD was significantly more prevalent in both the high-likelihood (OR 3.30; 95% CI 2.30 to 4.74) and the intermediate-likelihood (OR 1.43; 95% CI 1.16 to 1.76) physician-estimated groups versus the low-likelihood group; ESC similarly differentiated between the three groups (OR 9.07; 95% CI 2.87 to 28.70; and OR 3.87; 95% CI 1.22 to 12.28). However, using D-F, only the high-probability group differed (OR 2.49; 95% CI 1.74 to 3.54). Only physician estimates were associated with a higher incidence of adjusted death/myocardial infarction/unstable angina hospitalisation in the high-probability versus low-probability group (HR 2.68; 95% CI 1.52 to 4.74); neither pretest probability score provided prognostic information.

CONCLUSIONS

Compared with D-F and ESC estimates, physician judgement more accurately identified obstructive CAD and worse patient outcomes. Integrating physician judgement may improve risk prediction for patients with stable chest pain.

TRIAL REGISTRATION NUMBER

NCT01174550.

Presenting Symptoms in Patients Undergoing Coronary Artery Disease Evaluation: Association With Noninvasive Test Results and Clinical Outcomes in the PROMISE Trial

BACKGROUND

Patients evaluated for coronary artery disease have a range of symptoms and underlying risk. The relationships between patient-described symptoms, clinician conclusions, and subsequent clinical management and outcomes remain incompletely described.

METHODS

In this secondary analysis, we examined the association between 4 types of presenting symptoms (substernal/left-sided chest pain, other chest/neck/arm pain, dyspnea, and other symptoms) and patient risk, noninvasive test results, clinical management, and outcomes for stable outpatients randomized in the PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) trial. Multivariable regression models were used to evaluate differences in noninvasive test result, all-cause death/myocardial infarction/unstable angina hospitalization and cardiovascular death/myocardial infarction by symptom type.

RESULTS

Among 9996 patients, most presented with chest pain (47.2% substernal, 29.2% other), followed by dyspnea (14.9%), and other symptoms (8.7%). Patients with dyspnea were older (median age 63 versus 60, P≤0.02) with higher baseline risk (78.2% with atherosclerotic cardiovascular disease >7.5% versus 67.6%, P≤0.02). Using patients with substernal chest pain as a reference, there was no difference in noninvasive test positivity across symptom groups (all P>0.05), but test-positive patients with dyspnea (adjusted odds ratio, 0.66 [95% CI, 0.51-0.85]) or other symptoms (adjusted odds ratio, 0.65 [95% CI, 0.47-0.90]) were less likely to be referred for cardiac catheterization. While symptom type alone was not associated with outcomes, symptom presentation with chest pain or dyspnea did modify the association between a positive noninvasive test and clinical outcome (interaction P=0.025 for both all-cause death/myocardial infarction/unstable angina hospitalization and cardiovascular death/MI).

CONCLUSIONS

Among low-risk outpatients evaluated for coronary artery disease, typicality of symptoms was not closely associated with higher baseline risk but was related to differences in processes of care and the prognostic value of a positive test. Adverse events were not associated with clinician risk estimates or symptoms alone. These unexpected findings highlight the limitation of relying solely on symptom presentation or clinician risk estimation to evaluate patients for suspected coronary artery disease.

REGISTRATION

URL: https://www.

CLINICALTRIALS

gov; Unique identifier: NCT01174550.

Are we any WISER yet? Progress and contemporary need for smart trials to include women in coronary artery disease trials

Despite calls to ensure proportionate representation of both sexes in biomedical research, women continue to be underrepresented in cardiovascular disease (CVD) clinical trials. A comprehensive analysis of seven large suspected ischemic heart disease/coronary artery disease (HD/CAD) clinical trials (PROMISE, ISCHEMIA, CIAO-ISCHEMIA, ORBITA, FAME, FAME 2 and COURAGE trial) provides understanding of contributions to barriers to enrollment of women and leads to strategies to address these barriers. Specifically, in the seven trials, enrollment of women did not exceed 27%, while numerous barriers are evident. Proposed strategies to improve women´s inclusion in clinical trials, include adding reproductive stage/estrogen status, attention to study design inclusion/exclusion criteria using female thresholds, consideration of diagnostic and intervention study design to be inclusive, increasing women and minorities in leadership positions, including sex as a biological variable (SABV) in study design and statistical analysis, and addressing social and race/ethnicity barriers. Dedicated action to actualizing these steps are needed at this time to developing diagnostic and therapeutic strategies resulting in better care and improved outcomes for CVD in women.

Differences in Cardiovascular Risk, Coronary Artery Disease, and Cardiac Events Between Black and White Individuals Enrolled in the PROMISE Trial

IMPORTANCE

Race and ethnicity have been studied as risk factors in cardiovascular disease. How risk factors, epicardial coronary artery disease, and cardiac events differ between Black and White individuals undergoing noninvasive testing for coronary artery disease is not known.

OBJECTIVE

To assess differences in cardiovascular risk burden, coronary plaque, and major adverse cardiac events between Black and White individuals assigned to receive coronary computed tomography angiography (CCTA) or functional testing for stable chest pain.

DESIGN, SETTING, AND PARTICIPANTS

A nested observational cohort study within the PROMISE trial was conducted at 193 outpatient sites in North America. A total of 1071 non-Hispanic Black (hereafter Black) and 7693 non-Hispanic White (hereafter White) participants with stable chest pain undergoing noninvasive cardiovascular testing were included. This analysis was conducted from February 13, 2015, to November 2, 2021.

MAIN OUTCOMES AND MEASURES

The primary end point was the composite of death, myocardial infarction, or hospitalization for unstable angina over a median follow-up of 24.4 months.

RESULTS

Among 1071 Black individuals (12.2%) (women, 646 [60.3%]; mean [SD] age, 59 [8] years) and 7693 White individuals (87.8%) (women, 4029 [52.4%]; mean [SD] age, 61.1 [8.4] years), Black participants had a higher cardiovascular risk burden (more hypertension and diabetes), yet there was a similarly low major adverse cardiovascular events rate over a median 2-year follow-up (32 [3.0%] vs 243 [3.2%]; P = .84). Sensitivity analyses restricted to the 79.8% (6993 of 8764) individuals with a normal or mildly abnormal noninvasive testing result and the 54.3% (4559 of 8396) not receiving statin therapy yielded similar findings. In comparison of Black and White individuals in the CCTA group (n = 3323), significant coronary stenosis (hazard ratio [HR], 7.21; 95% CI, 1.94-26.76 vs HR, 4.30; 95% CI, 2.62-7.04) and high-risk plaque (HR, 3.47; 95% CI, 1.00-12.06 vs HR, 2.21; 95% CI, 1.37-3.57) were associated with major adverse cardiovascular events in both Black and White patients. However, with respect to epicardial coronary artery disease burden, Black individuals had a less-prevalent coronary artery calcium score greater than 0 (45.1% vs 63.2%; P < .001), coronary stenosis greater than or equal to 50% (32 [8.7%] vs 430 [14.6%]; P = .001), and high-risk plaque (139 [37.6%] vs 1547 [52.4%]; P < .001).

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that, despite a greater cardiovascular risk burden in Black persons, rates of coronary artery calcium, stenosis, and high-risk plaque observed via CCTA were lower in Black persons than White persons. This result suggests differences in cardiovascular risk burden and coronary plaque in Black and White individuals with stable chest pain.

Major adverse cardiac events in symptomatic women with non-obstructive CAD on coronary CTA: pooled analysis from PROMISE and SCOT-HEART

The presence of non-obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA) has been associated with the occurrence of major adverse cardiac events (MACE). However, factors associated with the development of MACE in symptomatic women with non-obstructive CAD on coronary CTA have not been fully elucidated. We sought to examine the influence of risk factors and coronary artery calcification on MACE in symptomatic women with non-obstructive CAD on coronary CTA. Women from PROMISE and SCOT-HEART trials with none or non-obstructive CAD on coronary CTA comprised the study cohort. Baseline characteristics and clinical presentation were assessed. Survival analysis using Kaplan-Meier curves was done to compare outcomes stratified by the atherosclerotic cardiovascular disease (ASCVD) risk score and the Agatston score. The primary endpoint was a composite of all-cause mortality, myocardial infarction, and revascularization. 2597 women had non-obstructive CAD or normal coronary CTA, with a median follow-up of 32 months. Compared to women without MACE, women with MACE had lower high-density lipoprotein cholesterol (HDL-C) levels and higher mean ASCVD risk scores. Further, women with non-obstructive CAD and ASCVD ≥ 7.5% had higher risk of MACE than those with ASCVD < 7.5% [3.2% vs. 1.1%, adjusted HR (aHR) of 3.1 (95% CI 1.32, 7.23), P-value 0.009]. The Agatston calcium score, on the other hand, was not independently associated with MACE among this population of symptomatic women. Symptomatic women with non-obstructive CAD on coronary CTA are at higher risk for MACE, with the ASCVD risk score being independently associated with the occurrence of adverse events.

Underrepresentation of women in cardiovascular trials- it is time to shatter this glass ceiling

Cardiovascular disease (CVD) is the leading cause of death in women, with underrepresented minority (URM) women experiencing the highest mortality rate. For decades, there has been an underrepresentation of women in CVD trials. Although more recent studies have increased the number of women enrolled in these trials, systematic reviews have demonstrated that this enrollment is still low. The National Institute of Health along with other agencies have boosted their efforts to increase enrollment of women and URM populations in CVD trials. Despite these efforts, there still remains a gap. This paper reviews the magnitude, implications and causes of the underrepresentation of women in CVD trials. A proposed multifaceted approach to solving this issue is also outlined in this commentary. Hopefully, implementation of these proposed solutions may facilitate the increase of women, including URM women, enrolled in CVD trials. It is anticipated that this will improve CVD outcomes in these patients.

Risk Stratification With the Use of Coronary Computed Tomographic Angiography in Patients With Nonobstructive Coronary Artery Disease

OBJECTIVES

The purpose of this study was to develop a risk prediction model for patients with nonobstructive CAD.

BACKGROUND

Among stable chest pain patients, most cardiovascular (CV) events occur in those with nonobstructive coronary artery disease (CAD). Thus, developing tailored risk prediction approaches in this group of patients, including CV risk factors and CAD characteristics, is needed.

METHODS

In PROMISE (Prospective Multicenter Imaging Study for Evaluation of Chest Pain) computed tomographic angiography patients, a core laboratory assessed prevalence of CAD (nonobstructive 1% to 49% left main or 1% to 69% stenosis any coronary artery), degree of stenosis (minimal: 1% to 29%; mild: 30% to 49%; or moderate: 50% to 69%), high-risk plaque (HRP) features (positive remodeling, low-attenuation plaque, and napkin-ring sign), segment involvement score (SIS), and coronary artery calcium (CAC). The primary end point was an adjudicated composite of unstable angina pectoris, nonfatal myocardial infarction, and death. Cox regression analysis determined independent predictors in nonobstructive CAD.

RESULTS

Of 2,890 patients (age 61.7 years, 46% women) with any CAD, 90.4% (n = 2,614) had nonobstructive CAD (mean age 61.6 yrs, 46% women, atherosclerotic cardiovascular disease [ASCVD] risk 16.2%). Composite events were independently predicted by ASCVD risk (hazard ratio [HR]: 1.03; p = 0.001), degree of stenosis (30% to 69%; HR: 1.91; p = 0.011), and presence of ≥2 HRP features (HR: 2.40; p = 0.008). Addition of ≥2 HRP features to: 1) ASCVD and CAC; 2) ASCVD and SIS; or 3) ASCVD and degree of stenosis resulted in a statistically significant improvement in model fit (p = 0.0036; p = 0.0176; and p = 0.0318; respectively). Patients with ASCVD ≥7.5%, any HRP, and mild/moderate stenosis had significantly higher event rates than those who did not meet those criteria (3.0% vs. 6.2%; p = 0.007).

CONCLUSIONS

Advanced coronary plaque features have incremental value over total plaque burden for the discrimination of clinical events in low-risk stable chest pain patients with nonobstructive CAD. This may be a first step to improve prevention in this cohort with the highest absolute risk for CV events.

Computed tomography of coronary artery atherosclerosis: A review

Coronary artery atherosclerosis resulting in ischemic cardiac disease is the leading cause of mortality in the United States. In symptomatic patients, invasive diagnostic methods like catheter angiography, intravascular ultrasound, or vascular endoscopy may be used. However, for primary prevention of atherosclerotic coronary artery disease in asymptomatic patients, non-invasive methods are more commonly utilized like stress imaging, single-photon emission computed tomography (SPECT) and coronary artery calcification scoring. Coronary computed tomographic angiography (CCTA) is an excellent diagnostic tool for detection of coronary artery plaque and ability to identify resultant stenoses with an excellent negative predictive value which can potentially result in optimal exclusion of the presence of coronary artery disease. Long term follow up after a negative CCTA has repeatedly demonstrated very low incidence of future adverse coronary events, attesting its predictive value. CCTA based management is associated with improved CAD outcome in stable angina. Coronary CTA is valuable in acute chest pain evaluation in the emergency department helping in better triage. CT perfusion and CT-FFR are both very promising tools for assessment of hemodynamic significance of coronary artery stenosis.

Small whole heart volume predicts cardiovascular events in patients with stable chest pain: insights from the PROMISE trial

OBJECTIVES

The size of the heart may predict major cardiovascular events (MACE) in patients with stable chest pain. We aimed to evaluate the prognostic value of 3D whole heart volume (WHV) derived from non-contrast cardiac computed tomography (CT).

METHODS

Among participants randomized to the CT arm of the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE), we used deep learning to extract WHV, defined as the volume of the pericardial sac. We compared the WHV across categories of cardiovascular risk factors and coronary artery disease (CAD) characteristics and determined the association of WHV with MACE (all-cause death, myocardial infarction, unstable angina; median follow-up: 26 months).

RESULTS

In the 3798 included patients (60.5 ± 8.2 years; 51.5% women), the WHV was 351.9 ± 57.6 cm3/m2. We found smaller WHV in no- or non-obstructive CAD, women, people with diabetes, sedentary lifestyle, and metabolic syndrome. Larger WHV was found in obstructive CAD, men, and increased atherosclerosis cardiovascular disease (ASCVD) risk score (p < 0.05). In a time-to-event analysis, small WHV was associated with over 4.4-fold risk of MACE (HR (per one standard deviation) = 0.221; 95% CI: 0.068-0.721; p = 0.012) independent of ASCVD risk score and CT-derived CAD characteristics. In patients with non-obstructive CAD, but not in those with no- or obstructive CAD, WHV increased the discriminatory capacity of ASCVD and CT-derived CAD characteristics significantly.

CONCLUSIONS

Small WHV may represent a novel imaging marker of MACE in stable chest pain. In particular, WHV may improve risk stratification in patients with non-obstructive CAD, a cohort with an unmet need for better risk stratification.

KEY POINTS

• Heart volume is easily assessable from non-contrast cardiac computed tomography. • Small heart volume may be an imaging marker of major adverse cardiac events independent and incremental to traditional cardiovascular risk factors and established CT measures of CAD. • Heart volume may improve cardiovascular risk stratification in patients with non-obstructive CAD.

Association of Hepatic Steatosis With Major Adverse Cardiovascular Events, Independent of Coronary Artery Disease

BACKGROUND & AIMS

Hepatic steatosis has been associated with increased risk of major adverse cardiovascular events (MACE) but it is not clear whether steatosis is independently associated with risk of MACE. We investigated whether steatosis is associated with risk of MACE independently of the presence and extent of baseline coronary artery disease, assessed by comprehensive contrast-enhanced computed tomography angiography (CTA).

METHODS

We conducted a nested cohort study of 3756 subjects (mean age, 60.6 years; 48.4% men) who underwent coronary CTA at 193 sites in North America, from July 2010 through September 2013, as part of the PROMISE study, which included noninvasive cardiovascular analyses of symptomatic outpatients without coronary artery disease. Independent core laboratory readers measured hepatic and splenic attenuation, using non-contrast computed tomography images to identify steatosis, and evaluated coronary plaques and stenosis in coronary CTA images. We collected data on participants' cardiovascular risk factors, presence of metabolic syndrome, and body mass index. The primary endpoint was an adjudicated composite of MACE (death, myocardial infarction, or unstable angina) during a median follow-up time of 25 months.

RESULTS

Among the 959 subjects who had steatosis (25.5% of the cohort), 42 had MACE (4.4%), whereas among the 2797 subjects without steatosis, 73 had MACE (2.6%) (hazard ratio [HR] for MACE in subjects with steatosis, 1.69; 95% CI, 1.16-2.48; P = .006 for MACE in subjects with vs without steatosis). This association remained after adjustment for atherosclerotic cardiovascular disease risk scores, significant stenosis, and metabolic syndrome (adjusted HR, 1.72; 95% CI, 1.16-2.54; P = .007) or obesity (adjusted HR, 1.75; 95% CI, 1.19-2.59; P = .005). Steatosis remained independently associated with MACE after adjustment for all CTA measures of plaques and stenosis.

CONCLUSIONS

Hepatic steatosis is associated with MACE independently of other cardiovascular risk factors or extent of coronary artery disease. Strategies to reduce steatosis might reduce risk of MACE. ClinicalTrials.gov no: NCT01174550.

The Radiologist as a Gatekeeper in Chest Pain

Chest pain is a symptom that can be found in life-threatening conditions such as acute coronary syndrome (ACS). Those patients requiring invasive coronary angiography treatment or surgery should be identified. Often the clinical setting and laboratory tests are not sufficient to rule out a coronary or aortic syndrome. Cardiac radiological imaging has evolved in recent years both in magnetic resonance (MR) and in computed tomography (CT). CT, in particular, due to its temporal and spatial resolution, the quickness of the examination, and the availability of scanners, is suitable for the evaluation of these patients. In particular, the latest-generation CT scanners allow the exclusion of diagnoses such as coronary artery disease and aortic pathology, thereby reducing the patient's stay in hospital and safely selecting patients by distinguishing those who do not need further treatment from those who will need more- or less-invasive therapies. CT additionally reduces costs by improving long-term patient outcome. The limitations related to patient characteristics and those related to radiation exposure are weakening with the improvement of CT technology.

Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Coronary artery calcium is an accurate predictor of cardiovascular events. While it is visible on all computed tomography (CT) scans of the chest, this information is not routinely quantified as it requires expertise, time, and specialized equipment. Here, we show a robust and time-efficient deep learning system to automatically quantify coronary calcium on routine cardiac-gated and non-gated CT. As we evaluate in 20,084 individuals from distinct asymptomatic (Framingham Heart Study, NLST) and stable and acute chest pain (PROMISE, ROMICAT-II) cohorts, the automated score is a strong predictor of cardiovascular events, independent of risk factors (multivariable-adjusted hazard ratios up to 4.3), shows high correlation with manual quantification, and robust test-retest reliability. Our results demonstrate the clinical value of a deep learning system for the automated prediction of cardiovascular events. Implementation into clinical practice would address the unmet need of automating proven imaging biomarkers to guide management and improve population health.

Task-dependent estimability index to assess the quality of cardiac computed tomography angiography for quantifying coronary stenosis

Purpose: Quantifying stenosis in cardiac computed tomography angiography (CTA) images remains a difficult task, as image noise and cardiac motion can degrade image quality and distort underlying anatomic information. The purpose of this study was to develop a computational framework to objectively assess the precision of quantifying coronary stenosis in cardiac CTA.

Approach: The framework used models of coronary vessels and plaques, asymmetric motion point spread functions, CT image blur (task-based modulation transfer functions) and noise (noise-power spectrums), and an automated maximum-likelihood estimator implemented as a matched template squared-difference operator. These factors were integrated into an estimability index (e′) as a task-based measure of image quality in cardiac CTA. The e′ index was applied to assess how well it can to predict the quality of 132 clinical cases selected from the Prospective Multicenter Imaging Study for Evaluation of Chest Pain trial. The cases were divided into two cohorts, high quality and low quality, based on clinical scores and the concordance of clinical evaluations of cases by experienced cardiac imagers. The framework was also used to ascertain protocol factors for CTA Biomarker initiative of the Quantitative Imaging Biomarker Alliance (QIBA).

Results: The e′ index categorized the patient datasets with an area under the curve of 0.985, an accuracy of 0.977, and an optimal e′ threshold of 25.58 corresponding to a stenosis estimation precision (standard deviation) of 3.91%. Data resampling and training–test validation methods demonstrated stable classifier thresholds and receiver operating curve performance. The framework was successfully applicable to the QIBA objective.

Conclusions: A computational framework to objectively quantify stenosis estimation task performance was successfully implemented and was reflective of clinical results in the context of a prominent clinical trial with diverse sites, readers, scanners, acquisition protocols, and patients. It also demonstrated the potential for prospective optimization of imaging protocols toward targeted precision and measurement consistency in cardiac CT images.

Age-Related Differences in the Noninvasive Evaluation for Possible Coronary Artery Disease: Insights From the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) Trial

Importance

Although cardiovascular (CV) disease represents the leading cause of morbidity and mortality that increases with age, the best noninvasive test to identify older patients at risk for CV events remains unknown.

Objective

To determine whether the prognostic utility of anatomic vs functional testing varies based on patient age.

Design, Setting, and Participants

Prespecified analysis of the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) study, which used a pragmatic comparative effectiveness design. Participants were enrolled from 193 sites across North America and comprised outpatients without known coronary artery disease (CAD) but with symptoms suggestive of CAD. Data were analyzed between October 2018 and April 2019.

Interventions

Randomization to noninvasive testing with coronary computed tomographic angiography or functional testing.

Main Outcomes and Measures

The composite of CV death/myocardial infarction (MI) over a median follow-up of 25 months.

Results

Among 10 003 PROMISE patients, we included the 8966 who received the noninvasive test to which they were randomized and had interpretable results; 6378 (71.1%) were younger than 65 years, 2062 (23.0%) were between ages 65 and 74 years, and 526 (5.9%) were 75 years and older. More than half of participants were women (4720 of 8966 [52.6%]). Only a minority of patients were of nonwhite race/ethnicity, a proportion that was lower among the older age groups (1071 of 6378 [16.8%] for <65 years; 258 of 2062 [12.5%] for age 65-74 years; 41 of 526 [7.8%] for ≥75 years). Compared with patients younger than 65 years, older patients were more likely to have a positive test result (age 65-74 years: odds ratio, 1.65; 95% CI, 1.42-1.91; age ≥75 years: odds ratio, 2.32; 95% CI, 1.83-2.95), regardless of noninvasive test completed. A positive functional test result was not associated with CV death/MI in patients younger than 65 years (hazard ratio [HR], 1.09; 95% CI, 0.43-2.82) but it was among older patients (age 65-74 years: HR, 3.18; 95% CI, 1.44-7.01; age ≥75 years: HR, 6.55; 95% CI, 1.46-29.35). Conversely, a positive anatomic test result was associated with CV death/MI among patients younger than 65 years (HR, 3.04; 95% CI, 1.46-6.34) but not among older patients (age, 65-74 years: HR, 0.67; 95% CI, 0.15-2.94; age ≥75 years: HR, 1.07; 95% CI, 0.22-5.34; P for interaction = .01). An elevated coronary artery calcium score was predictive of events in patients younger than 65 years (HR, 2.73; 95% CI, 1.31-5.69) but not for older patients (age 65-74 years: HR, 0.44; 95% CI, 0.14-1.42; age ≥75 years: HR, 1.31; 95% CI, 0.25-6.88).

Conclusions and Relevance

Older patients with stable symptoms suggestive of CAD are more likely to have a positive noninvasive test result and more coronary artery calcium. However, only a positive functional test result was associated with risk of CV death/MI. Age-specific approaches to noninvasive evaluation of CAD should be further examined.

Trial Registration

ClinicalTrials.gov identifier: NCT01174550.

Prognostic relevance and clinical features of papillary muscle infarction with mitral regurgitation in patients with ST segment elevation myocardial infarction

Background

Papillary muscle infarction (PapMI) combined with mitral regurgitation (MR) is a severe complication of ST-segment elevation myocardial infarction (STEMI). The features detected by cardiac magnetic resonance (CMR) imaging in PapMI have not been characterized. The aim of the present study was to assess the incidence, determinants, and the prognostic significance of PapMI with MR at 1-year follow-up in a study of patients with STEMI after primary percutaneous coronary intervention (pPCI).

Methods

We enrolled 209 patients with STEMI reperfused by pPCI (<12 hours after symptom onset) at 2 centers. CMR and echocardiography were performed within 1 week after infarction using a standardized protocol. According to the results of CMR and echocardiography, patients were divided into PapMI with MR, PapMI (PapMI without MR), and non-PapMI groups. The primary clinical endpoint of the study was the occurrence of major adverse cardiovascular events (MACE).

Results

PapMI with MR was found in 27 patients (13%). The existence of PapMI with MR was associated with age (P<0.001), impaired left ventricular ejection fraction (LVEF) (P=0.005), higher SYNTAX score (P=0.002), concentration of troponin I (P<0.001), longer time to reperfusion (P<0.001), more diabetics (P<0.001), and microvascular occlusion (MVO) (P<0.001). Binary logistic regression with stepwise backward selection analysis showed that advanced age, MVO, and impaired LVEF were independent risk factors for PapMI with MR. Patients in the PapMI with MR group had significantly more MACE compared with the PapMI and non-PapMI groups [PapMI with MR, 23 (85.2%) vs. PapMI, 21 (55.3%) vs. non-PapMI, 29 (20.1%)] at 1-year follow-up (P<0.001). However, there were no pronounced differences in mortality rates among the 3 groups (P=0.071).

Conclusions

The presence of PapMI with MR in patients with STEMI is associated with advanced age, MVO, and impaired LVEF, which can increase the rates of MACE.

Updated diagnostic & prognostic paradigm for CAD: a narrative review

Cardiovascular diseases are the first cause of death globally; early detection of coronary artery disease (CAD) is a challenge for clinicians and radiologists. Over the past 2 decades there have been several improvements in the methods for the assessment of diagnosis and prognosis in patients with suspected CAD; most of these methods are imaging methods and they operate with high-end technologies. Cardiac computed tomography (CCT) as we know it today was introduced in 1998 and has ever progressed with constant pace. The first decade was the technical validation phase of the method while the second decade was the clinical validation phase. CCT has developed an excellent diagnostic and prognostic value; technological development together with radiation dose reduction, contributed to the widening of its clinical indications. The diagnostic value of CCT is particularly important as a first line in symptomatic patients with suspected obstructive CAD and low-to-intermediate cardiovascular risk. It is a test that should come, whenever possible, in front of functional evaluation because of its very high sensitivity and negative predictive value. The prognostic value of CCt is still investigational, even though it is becoming quite evident that the atherosclerotic phenotype plays a major role in the determination of prognosis, and as consequence, in the individualization of optimal pharmacological therapy, especially in the cohort without significant obstructive CAD. Recently, scientific and practical guidelines have been updated taking into account the role of CCT, which is able to provide a reliable and fast diagnosis with an additional resources optimization. Multiple registries and trials have been developed and will be summarized in this review. Recent guidelines highlighted the role of CCT in diagnosing suspected CAD.

Guideline-Based Statin Eligibility, Coronary Artery Stenosis and Cardiovascular Events in Patients with Stable Chest Pain: A Secondary Analysis of the PROMISE Randomized Clinical Trial

BACKGROUND

Recommendations for preventive statin treatment in patients with stable chest pain may be difficult as symptoms can be unspecific. It is unclear if coronary CT angiography (CTA)-detected coronary artery disease (CAD) can optimize statin prescription.

METHODS

In stable chest pain patients randomized to CTA in the PROMISE trial, statin eligibility was defined per 2018 American College of Cardiology/American Heart Association (ACC/AHA) guidelines. Primary outcome was a composite of death, myocardial infarction or unstable angina over 26 months median follow-up. Hazard ratios (HR) of non-obstructive (1-69% stenosis) and obstructive (≥70% stenosis) CAD for events were determined using Cox proportional hazard models. Calculated HR were then incorporated into the ACC/AHA pooled cohort equation (PCE) to revised ASCVD risk and assess re-classification of statin eligibility.

RESULTS

Among 3986 patients (60.5 ± 8.2 years; 51% female), 72.9% (2904/3986) were statin eligible. Event rates in statin-eligible vs. ineligible patients were 3.3% vs. 2.3% (HR = 1.4 (95% CI 0.9-2.2), p = 0.142). Although the proportion of statin-eligible patients increased with CAD severity, 54% without CAD were statin eligible. Incorporating information on CAD into PCE reclassified 12.7% of patients (1.3% towards statin, 11.4% towards no statin). Similar results were found in stratified analysis of statin naïve patients (reclassification of 13.9%, 1.0% towards statin, and 12.9% towards no statin). As a result, revised ASCVD risk improved model discrimination in all patients (c-statistic: 0.59 (95 %CI 0.55-0.62) vs. 0.52 (95 %CI 0.49-0.56); p 0.001), while reducing statin use by 10.1% (62.7% vs. 72.9% statin eligible, p 0.001).

CONCLUSION

In stable chest pain patients, integration of CAD into guideline recommendations was associated with greater accuracy to reclassify those at increased risk for incident events and a more efficient use of statins.

Noninvasive Imaging Risk Stratification with Computed Tomography Angiography for Coronary Artery Disease

The recent technological evolution of coronary computed tomography angiography (CTA) with improved sensitivity and high negative predictive value has extended its potential applications as a gatekeeper test before invasive coronary angiography. However, the definition of the most accurate diagnostic algorithms comprising CTA as a first-line strategy for ruling out coronary artery disease and the correct management of the patients according to the results of imaging tests still warrant better definition.

Pretest probability for patients with suspected obstructive coronary artery disease: re-evaluating Diamond-Forrester for the contemporary era and clinical implications: insights from the PROMISE trial

AIMS

To update pretest probabilities (PTP) for obstructive coronary artery disease (CAD ≥ 50%) across age, sex, and clinical symptom strata, using coronary computed tomography angiography (CTA) in a large contemporary population of patients with stable chest pain referred to non-invasive testing.

METHODS AND RESULTS

We included patients enrolled in the Prospective Multicenter Imaging Study for Evaluation of Chest Pain (PROMISE) trial and randomized to CTA. Exclusively level III-certified readers, blinded to demographic and clinical data, assessed the prevalence of CAD ≥ 50% in a central core lab. After comparing the recent European Society of Cardiology-Diamond and Forrester PTP (ESC-DF) with the actual observed prevalence of CAD ≥ 50%, we created a new PTP set by replacing the ESC-DF PTP with the observed prevalence of CAD ≥ 50% across strata of age, sex, and type of angina. In 4415 patients (48.3% men; 60.5 ± 8.2 years; 78% atypical angina; 11% typical angina; 11% non-anginal chest pain), the observed prevalence of CAD ≥ 50% was 13.9%, only one-third of the average ESC-DF PTP (40.6; P < 0.001 for difference). The PTP in the new set ranged 2-48% and were consistently lower than the ESC-DF PTP across all age, sex, and angina type categories. Initially, 4284/4415 (97%) patients were classified as intermediate-probability by the ESC-DF (PTP 15-85%); using the PROMISE-PTP, 50.2% of these patients were reclassified to the low PTP category (PTP < 15%).

CONCLUSION

The ESC-DF PTP overestimate vastly the actual prevalence of CAD ≥ 50%. A new set of PTP, derived from results of non-invasive testing, may substantially reduce the need for non-invasive tests in stable chest pain.

Exercise Electrocardiography and Computed Tomography Coronary Angiography for Patients With Suspected Stable Angina Pectoris: A Post Hoc Analysis of the Randomized SCOT-HEART Trial

Importance

Recent European guidance supports a diminished role for exercise electrocardiography (ECG) in the assessment of suspected stable angina.

Objective

To evaluate the utility of exercise ECG in contemporary practice and assess the value of combined functional and anatomical testing.

Design, Setting, and Participants

This is a post hoc analysis of the Scottish Computed Tomography of the Heart (SCOT-HEART) open-label randomized clinical trial, conducted in 12 cardiology chest pain clinics across Scotland for patients with suspected angina secondary to coronary heart disease. Between November 18, 2010, and September 24, 2014, 4146 patients aged 18 to 75 years with stable angina underwent clinical evaluation and 1417 of 1651 (86%) underwent exercise ECG prior to randomization. Statistical analysis was conducted from October 10 to November 5, 2019.

Interventions

Patients were randomized in a 1:1 ratio to receive standard care plus coronary computed tomography (CT) angiography or to receive standard care alone. The present analysis was limited to the 3283 patients who underwent exercise ECG alone or in combination with coronary CT angiography.

Main Outcomes and Measures

The primary clinical end point was death from coronary heart disease or nonfatal myocardial infarction at 5 years.

Results

Among the 3283 patients (1889 men; median age, 57.0 years [interquartile range, 50.0-64.0 years]), exercise ECG had a sensitivity of 39% and a specificity of 91% for detecting any obstructive coronary artery disease in those who underwent subsequent invasive angiography. Abnormal results of exercise ECG were associated with a 14.47-fold (95% CI, 10.00-20.41; P < .001) increase in coronary revascularization at 1 year and a 2.57-fold (95% CI, 1.38-4.63; P < .001) increase in mortality from coronary heart disease death at 5 years or in cases of nonfatal myocardial infarction at 5 years. Compared with exercise ECG alone, results of coronary CT angiography had a stronger association with 5-year coronary heart disease death or nonfatal myocardial infarction (hazard ratio, 10.63; 95% CI, 2.32-48.70; P = .002). The greatest numerical difference in outcome with CT angiography compared with exercise ECG alone was observed for those with inconclusive results of exercise ECG (5 of 285 [2%] vs 13 of 283 [5%]), although this was not statistically significant (log-rank P = .05).

Conclusions and Relevance

This study suggests that abnormal results of exercise ECG are associated with coronary revascularization and the future risk of adverse coronary events. However, coronary CT angiography more accurately detects coronary artery disease and is more strongly associated with future risk compared with exercise ECG.

Trial Registration

ClinicalTrials.gov Identifier: NCT01149590.