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Published on: March 15, 2022
Decoding Hidden Pathways: A Comprehensive Exploration of Anomalous Coronary Arteries
Aineesh Vallurupalli1, Rajesh Thachathodiyl2
1Department Of Cardiology, Amrita Institute of Medical Sciences and Research Centre, Kochi, IND.
Insights
Coronary artery anomalies (CAA) vary widely, with high-risk types like interarterial left main and anomalous left coronary artery from the pulmonary artery (ALCAPA) needing close monitoring. Timely intervention is crucial, as sudden cardiac death (SCD) occurred in one patient despite good outcomes for most.
Area of Science:
- Cardiology
- Congenital Heart Disease
- Medical Imaging
Background:
- Coronary artery anomalies (CAA) are congenital defects that can lead to serious cardiac events like ischemia and sudden cardiac death (SCD).
- High-risk CAA, particularly those with interarterial or intramural courses, affect individuals including young athletes.
- Understanding the prevalence and outcomes of various CAA is essential for effective management.
Purpose of the Study:
- To characterize the prevalence, imaging features, management, and outcomes of coronary artery anomalies (CAA) in a tertiary care center cohort.
- To identify risk factors and clinical variability among different types of CAAs, including rare variants.
- To evaluate the effectiveness of different management strategies for CAA.
Main Methods:
- Retrospective analysis of 8,000 patients undergoing coronary angiography from 2012-2021.
- Identification of 133 patients with CAAs, utilizing invasive coronary angiography (CAG) and coronary CT angiography (CTA).
- Documentation of demographic data, clinical features, anomaly subtypes, and management (medical, PCI, surgery), with outcomes assessed at a median 36-month follow-up.
Main Results:
- The study included 133 patients with CAAs; common benign variants included anomalous right coronary artery (RCA) from the left sinus (37.6%) and left circumflex artery (LCx) from the right sinus (30.1%).
- Malignant variants identified were anomalous left coronary artery from the pulmonary artery (ALCAPA) (3.8%), interarterial left main (1.5%), and single coronary artery (1.5%).
- Symptom resolution rates were 70% for medical, 80% for PCI, and 100% for surgical management, with adverse events occurring in 5% (medical), 8.9% (PCI), and 4.3% (surgical) groups. One interarterial left main case resulted in SCD.
Conclusions:
- Coronary artery anomalies (CAA) exhibit significant clinical variability, with high-risk types like interarterial left main and ALCAPA requiring vigilant follow-up.
- Despite generally good outcomes, the occurrence of SCD underscores the importance of timely intervention for high-risk CAAs.
- Challenges in CAA management include limited awareness, screening, risk assessment, and personalized treatment protocols; advancements in imaging, genetics, and AI may improve future detection and management.
Abstract:
Introduction Coronary artery anomalies (CAA) are congenital anomalies affecting the origin, course, structure, or number of coronary arteries; certain high-risk configurations, particularly those involving interarterial or intramural segments, can predispose individuals to ischemia, arrhythmias, or sudden cardiac death (SCD). Populations at particular risk include young athletes and individuals with anomalies exhibiting interarterial or intramural courses. This study aimed to characterize the prevalence, imaging features, management strategies, and outcomes of CAAs, including rare variants such as anomalous left coronary artery from the pulmonary artery (ALCAPA), and interarterial left main in a single tertiary care center cohort. Methods We retrospectively analyzed 8,000 patients who underwent coronary angiography between January 2012 and December 2021 and identified 133 patients with CAAs. Diagnostic modalities included invasive coronary angiography (CAG) for typical ischemic or acute presentations and coronary CT angiography (CTA) for atypical or lower-risk cases; MRI was unavailable. Demographic data, clinical features, anomaly subtypes, and management strategies [medical therapy, percutaneous coronary intervention (PCI), or surgery] were documented. Outcomes at a median 36-month follow-up included symptom resolution and adverse events clearly defined as myocardial infarction (Fourth Universal Definition), revascularization [PCI/coronary artery bypass grafting (CABG) for stenosis >60%], and cardiac death. Results A total of 133 patients (mean age: 52.3 ± 10.5 years; 62% male) were included. Chest pain (60%) was the most common symptom, with 10% asymptomatic. The most frequent anomalies were classified as benign variants, including anomalous right coronary artery (RCA) from the left sinus (37.6%) and left circumflex artery (LCx) from the right sinus (30.1%). Malignant variants included five cases of ALCAPA (3.8%), two interarterial left main origins (1.5%), and two single coronary artery cases (1.5%). One patient with an interarterial left main died of SCD during follow-up. Other less common forms (e.g., high takeoff, fistulas, significant myocardial bridging) were grouped under "Other" (7.5%). Significant concomitant coronary artery disease (CAD) (>50% stenosis) was present in 17.5%. Management strategies included medical therapy (60%), PCI (22.5%), and surgical correction (17.5%). Symptom resolution occurred in 70% of medically treated, 80% of PCI-treated, and 100% of surgically treated patients. Adverse events (overall 10%) - defined as myocardial infarction, revascularization, or cardiac death - occurred in 5% of the medical group, 8.9% of PCI, and 4.3% of surgical cases. Outcome data for rare variants were limited due to low sample size, but suggest higher risk with malignant anatomies. Conclusions Anomalous coronary arteries show wide clinical variability; high-risk types like interarterial left main and ALCAPA warrant careful follow-up. While most patients achieve good outcomes, SCD in one case in our cohort highlights the need for timely intervention. Current challenges include limited awareness, lack of standardized screening, inconsistent risk assessment, and absence of personalized treatment protocols. Advancements in imaging, genetics, and artificial intelligence (AI)-driven risk models may enhance early detection and tailored management of CAAs.
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