Chronic Obstructive Coronary Artery Disease Research Articles

Multi-modality deep learning model for prediction of chronic obstructive coronary artery disease

Abstract Background/Introduction The incidence of coronary artery disease (CAD) is on the rise with an increasing burden of stable ischemic heart disease (SIHD) and high prevalence of obesity, diabetes, hyperlipidemia, and other cardiovascular risk factors. Pre-test probability estimation for CAD based on demographic features and characterization of chest pain is insufficient to accurately assess whether further evaluation for CAD is warranted. Purpose To develop and validate a deep learning (DL) algorithm utilizing electrocardiogram (ECG) waveforms and clinical features to predict obstructive CAD. Methods Clinical data from subjects undergoing invasive angiography over a 4-year period at a quaternary care center exclusive of subjects who had concern for acute coronary syndromes were used for model training. ECGs obtained up to 5 years prior to angiography were included; ECGs were partitioned 8:1:1 for training, validation, and test datasets. Obstructive CAD was defined as receiving percutaneous coronary intervention during elective angiography. Convolutional neural network models were developed for ECG waveforms alone (DL-ECG), clinical features from standard risk scores (DL-Clinical), and the combination of ECG waveforms and clinical features (DL-ECG+Clinical); a commonly used pre-test probability estimation tool derived from the CAD Consortium study was used as a comparison (PTP). The models were evaluated based on area under the curve receiver operating characteristics (AUC). Shapley additive explanations (SHAP) analysis was performed to understand feature importance in the DL models. Results A total of 40,602 ECGs and 8,361 coronary angiograms from 7,201 patients were included in the analysis. The median age was 66 (IQR 56-75), 71.9% were men, 34.9% had hypertension, 30.6% had diabetes mellitus, and 39.0% had dyslipidemia. The PTP model (AUC 0.733 [0.717-0.750]) had similar performance as the DL-Clinical model (AUC 0.762 [0.746-0.778]). The DL-ECG model (AUC 0.741 [0.726-0.758]) had similar performance as both the clinical feature models. The DL-ECG+Clinical model (AUC 0.807 [0.793-0.822]) trained on ECG waveforms and clinical features had a superior performance (Figure 1). SHAP analysis for the DL-ECG+Clinical model revealed that ECG waveforms had the largest influence on the model’s output followed by age and chest pain type (Figure 2). Conclusions Multi-modality DL model utilizing ECG and commonly used features can improve prediction of obstructive CAD in SIHD compared to traditional pre-test probability estimates. Prospective research is warranted to determine whether incorporation of DL methods to ECG analysis effectively improves diagnosis and outcomes in obstructive CAD.Figure 1.Figure 2.

Impact of untreated chronic obstructive coronary artery disease on outcomes after transcatheter aortic valve replacement.

In transcatheter aortic valve replacement (TAVR) recipients, the optimal management of concomitant chronic obstructive coronary artery disease (CAD) remains unknown. Some advocate for pre-TAVR percutaneous coronary intervention, while others manage it expectantly. The aim of this study was to assess the impact of varying degrees and extent of untreated chronic obstructive CAD on TAVR and longer-term outcomes. The authors conducted a retrospective cohort study of TAVR recipients from January 2015 to November 2021, separating patients into stable non-obstructive or varying degrees of obstructive CAD. The major outcomes of interest were procedural all-cause mortality and complications, major adverse cardiovascular events, and post-TAVR unplanned coronary revascularization. Of the 1911 patients meeting inclusion, 75%, 6%, 10%, and 9% had non-obstructive, intermediate-risk, high-risk, and extreme-risk CAD, respectively. Procedural complication rates overall were low (death 0.4%, shock 0.1%, extracorporeal membrane oxygenation 0.1%), with no difference across groups. At a median follow-up of 21 months, rates of acute coronary syndrome and unplanned coronary revascularization were 0.7% and 0.5%, respectively, in the non-obstructive population, rising in incidence with increasing severity of CAD (P < .001 for acute coronary syndrome/unplanned coronary revascularization). Multivariable analysis did not yield a significantly greater risk of all-cause mortality or major adverse cardiovascular events across groups. One-year acute coronary syndrome and unplanned coronary revascularization rates in time-to-event analyses were significantly greater in the non-obstructive (98%) vs. obstructive (94%) subsets (Plog-rank< .001). Transcatheter aortic valve replacement can be performed safely in patients with untreated chronic obstructive CAD, without portending higher procedural complication rates and with relatively low rates of unplanned coronary revascularization and acute coronary syndrome at 1 year.

Evaluation of the Advantages of Myocardial Blood Flow Index in the Diagnosis of Chronic Obstructive Coronary Artery Disease Versus Coronary Computed Tomography Angiography: A Feasibility Study

Background: There is a hidden relationship between the degree of coronary artery stenosis and downstream myocardial remodeling. The mutual influence in myocardial ischemia and myocardial remodeling provides an index for quantifying the myocardial blood flow based on the principles of physics. Objectives: This study aimed to evaluate the advantages of myocardial blood flow index (MBFI) in the diagnosis of chronic obstructive coronary artery disease (CAD). Patients and Methods: The data of 68 patients (39 males; mean age: 57.0 ± 10.20 years) with suspected CAD were analyzed retrospectively, including the imaging findings of coronary computed tomography angiography (CCTA) and invasive coronary angiography (ICA) within one week. The MBFI was also calculated for the patients. After determining the optimal cut-off value based on ICA (stenosis ≥ 70%) as the gold standard test, the diagnostic performance of MBFI and CCTA was compared. The diagnostic accuracy was examined by the receiver operating characteristic (ROC) curve. For statistical analysis, chi-square test was performed to analyze influence data, and a P-value less than 0.05 was considered statistically significant. Results: In 68 cases evaluated in this study, the average scan dose of CCTA was 3.02 ± 1.15 millisievert (mSv). There were 28 cases with stenosis ≥ 70%. The optimal cutoff value of MBFI and CCTA was 0.111 and 70%, respectively. Also, the area under the curve (AUC) for MBFI and CCTA was 0.857 and 0.621 (Z = 2.091, P = 0.0365), respectively. The sensitivity, specificity, positive predictive value, and negative predictive value were 92.31%, 92.86%, 88.89%, and 95.12% for MBFI and 61.54%, 78.57%, 64.00%, and 76.74% for CCTA, respectively. The diagnostic accuracy was also estimated at 92.65% for MBFI and 72.06% for CCTA (χ2 = 9.844, P = 0.0017). Conclusion: In this study, MBFI performed better than CCTA in identifying lesions with stenosis ≥ 70%. A lower MBFI indicated the need for an upcoming active intervention, while a higher MBFI suggested avoiding unnecessary invasive testing.

QT Interval Dispersion Behavior in Patients With and Without Obstructive Coronary Artery Disease Undergoing Exercise Test

Abstract Background: Stress test is used to detect coronary artery disease (CAD). The QTc interval dispersion (dQTc) is an electrocardiographic index of ventricular repolarization heterogeneity. Some researchers have linked transient myocardial ischemia induced by physical exertion with increased heterogeneity of ventricular repolarization measured by dQTc. Objectives: To study the patterns of dQT in patients with and without chronic obstructive CAD and to define a reliable cutoff point for dQT that could become a diagnostic criterion for myocardial ischemia. Methods: We retrospectively analyzed the electrocardiogram in resting and in exercise of 63 patients submitted to exercise test and cardiac catheterization. We divided the patients into three groups: true negative (VN), true positive (VP) and false positive (FP). VN: patients with coronary lesion lower than 70% and exercise test without myocardial ischemia; VP: individuals with stenosis greater than 70% in coronary arteries and a test suggestive of myocardial ischemia; FP: people with stenosis lower than 70% in the coronary arteries and stress test with ischemia criteria. Values of p < 0.05 were considered statistically significant. Results: Resting dQTc was not different among the three groups. However, for the dispersion of the QTc interval in exercise was, respectively, 47 ± 17 ms, 72 ± 42 ms, and 61 ± 31 ms for VN, VP and FP (p = 0.003). Conclusions: Obstructive chronic coronary disease patients have an increase in dQTc during exercise. Measurement of dQTc may be helpful in the diagnosis of myocardial ischemia in the stress test.

Cost-Effectiveness of Alternative Approaches to the Management of Chronic Obstructive Coronary Artery Disease

Chronic obstructive coronary artery disease (CAD) is a highly prevalent condition that results in premature mortality as well as substantial morbidity due to angina and reduced quality of life. Various treatment and revascularization strategies are available for managing this condition, including medical therapy, percutaneous coronary intervention, and coronary artery bypass grafting. These treatments are expensive and, given the high prevalence of chronic CAD, there is substantial cost involved in the management of this condition. Recent clinical trials comparing percutaneous coronary intervention with medical management and/or coronary artery bypass grafting, and their associated economic analyses, have generated new information regarding the relative value of these alternative treatment strategies. In this article, we review the basic concepts of cost-effectiveness analysis and the current evidence as it relates to the cost-effectiveness of percutaneous coronary intervention in the management of chronic obstructive coronary artery disease.

Chronic Obstructive Coronary Artery Disease

Chronic Obstructive Coronary Artery Disease

Hibernating Myocardium: Diagnosis and Patient Outcomes

Approximately 50% of the patients with chronic obstructive coronary artery disease resulting in chronic contractile dysfunction have hibernating myocardium and may benefit from revascularization. This pooled analysis describes the relative merits of dobutamine echocardiography, thallium-201 and technetium-99m scintigraphy, positron emission tomography, and magentic resonance imaging, for the diagnosis of hibernating myocardium and prediction of patient outcomes.

Subintimal dissection of the cornary arteries. A complication of selective coronary arteriography and the transfemoral percutaneous approach.

Selective coronary arteriography is now the procedure of choice in the determination of the existence and the delineation of the extent of chronic obstructive coronary artery disease. Since Sones and Shirey's original description of this technique, variations in the procedure and the approach have evolved. More recently, the percutaneous transfemoral artery approach to selective coronary arteriography has gained increasing favor because of the ease of intubation of both coronary arteries, stability of the catheter once positioned in the coronary ostium, and the high quality of cinefluorography and direct serial radiography. Because of the tapered-tip design and positrol feature, the depth to which the coronary artery can be cannulated, and the angle formed by the tip of the catheter and the intima of the vessel, the possibility of subintimal dissection of the coronary arteries as an inherent complication of this approach arises. Two such cases of subintimal dissection of the left coronary artery are described with cinefluorographic documentation. It is recommended that after cannulation of the coronary vessels the catheter be withdrawn several millimeters from the lumen of the vessel in order to avoid this complication of an otherwise valuable diagnostic approach to selective coronary arteriography.