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  • Open Access

    CASE REPORT

    Persistent Left Superior Vena Cava with Severely Dilated Coronary Sinus: A Rare Case Report of Failed CRT-P and Successful Dual-Chamber Pacemaker Implantation

    Khaled Elenizi1, Abdullah Sharaf Aldeen2, Nasser Alotaibi3,*, Nagy Fagir2, Hussien Hado2, Mubarak Aldossari2

    Congenital Heart Disease, Vol.20, No.5, pp. 539-546, 2025, DOI:10.32604/chd.2025.071226 - 30 November 2025

    Abstract Persistent left superior vena cava (PLSVC) is a rare congenital anomaly that may complicate cardiac procedures when associated with a dilated coronary sinus (CS) and conduction disturbances. We report the case of a 27-year-old male with Wilson’s disease who presented with complete heart block. Echocardiography showed biatrial enlargement and severe CS dilation, while contrast-enhanced computed tomography (CT) confirmed PLSVC draining into the CS without a bridging vein. Anatomical constraints prevented cardiac resynchronization therapy, and dual-chamber pacemaker implantation proved technically challenging due to lead placement difficulties. This case highlights the importance of thorough preoperative assessment and More >

  • Open Access

    ARTICLE

    Risk Indicator Identification for Coronary Heart Disease via Multi-Angle Integrated Measurements and Sequential Backward Selection

    Hui Qi1, Jingyi Lian2, Congjun Rao2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.145, No.1, pp. 995-1028, 2025, DOI:10.32604/cmes.2025.069722 - 30 October 2025

    Abstract For the past few years, the prevalence of cardiovascular disease has been showing a year-on-year increase, with a death rate of 2/5. Coronary heart disease (CHD) rates have increased 41% since 1990, which is the number one disease endangering human health in the world today. The risk indicators of CHD are complicated, so selecting effective methods to screen the risk characteristics can make the risk prediction more efficient. In this paper, we present a comprehensive analysis of CHD risk indicators from both data and algorithmic levels, propose a method for CHD risk indicator identification based… More >

  • Open Access

    ARTICLE

    Surgical Treatment of Anomalous Left Coronary Artery Originating from the Pulmonary Artery: A Single-Center Experience

    Guozhen Wang1,2, Yong An1,2,*

    Congenital Heart Disease, Vol.20, No.3, pp. 347-355, 2025, DOI:10.32604/chd.2025.065354 - 11 July 2025

    Abstract Background: Anomalous origin of the left coronary artery from the pulmonary artery (ALCAPA) is a rare congenital anomalous coronary artery origin disorder. Objective: We sought to summarize the clinical experience and prognostic characteristics of surgical treatment of ALCAPA. Methods: We retrospectively analyzed clinical information on patients who had ALCAPA and underwent surgery at our center from February 2016 to October 2023. Results: This comparative study of 23 ALCAPA patients (9 infants <1 year; 14 children >1 year) demonstrated significant age-dependent outcomes. Infant patients exhibited markedly prolonged mechanical ventilation (183 ± 105.6 vs. 48.5 ± 62.2 min, p =… More >

  • Open Access

    ARTICLE

    A Transformer Based on Feedback Attention Mechanism for Diagnosis of Coronary Heart Disease Using Echocardiographic Images

    Chunlai Du1,#, Xin Gu1,#, Yanhui Guo2,*, Siqi Guo3, Ziwei Pang3, Yi Du3, Guoqing Du3,*

    CMC-Computers, Materials & Continua, Vol.83, No.2, pp. 3435-3450, 2025, DOI:10.32604/cmc.2025.060212 - 16 April 2025

    Abstract Coronary artery disease is a highly lethal cardiovascular condition, making early diagnosis crucial for patients. Echocardiograph is employed to identify coronary heart disease (CHD). However, due to issues such as fuzzy object boundaries, complex tissue structures, and motion artifacts in ultrasound images, it is challenging to detect CHD accurately. This paper proposes an improved Transformer model based on the Feedback Self-Attention Mechanism (FSAM) for classification of ultrasound images. The model enhances attention weights, making it easier to capture complex features. Experimental results show that the proposed method achieves high levels of accuracy, recall, precision, F1 More >

  • Open Access

    CASE REPORT

    Case Report: Prominent Coronary Artery Flow in Fetuses with Congenital Heart Disease, Is It a Marker of In Utero Distress?

    Mohamed Aashiq Abdul Ghayum1,*, Maria Kiaffas1,2, Ashley Warta1, Melanie Kathol1, David C. Mundy2, Kelsey Brattrud1, Nitin Madan1,2

    Congenital Heart Disease, Vol.19, No.6, pp. 647-651, 2024, DOI:10.32604/chd.2025.058271 - 27 January 2025

    Abstract Prominent coronary artery (CA) flow observed on a fetal echocardiogram has been associated with fetal growth restriction and myocardial dysfunction. We present two cases with this finding, in the presence of congenital heart disease (CHD) and absence of growth restriction or myocardial dysfunction. Both the cases rapidly progressed to extremis, necessitating emergent delivery. Our cases highlight the importance of recognizing prominent CA flow in fetuses with CHD as a potential marker for in utero distress. More >

  • Open Access

    CASE REPORT

    Fate of Right Coronary Artery Occlusion after a Surgically Repaired Aorto-Ventricular Tunnel in a Neonate

    Sherif Negm1,2, Loic Mace1, Fedoua El Louali3, Beatrice Desnous4, Philipe Aldebert3, Virginie Fouilloux1, Marien Lenoir1,*

    Congenital Heart Disease, Vol.19, No.3, pp. 267-273, 2024, DOI:10.32604/chd.2024.051642 - 26 July 2024

    Abstract The aorto-ventricular tunnel is a rare congenital cardiac anomaly. We present a case of aorto-ventricular tunnel diagnosed via fetal echocardiography. Emergency surgery was performed on the 2nd day of life to close the tunnel, located just in front of the right coronary ostium, due to the patient’s unstable health condition. The postoperative period revealed complete occlusion of the right coronary artery. Due to the patient’s stability, we opted not to reintervene on the right coronary artery. The patient fully recovered without the need for further coronary intervention. In cases of patients with an aorto-ventricular tunnel More >

  • Open Access

    ARTICLE

    High Prevalence of Anatomical Variations and Anomalies of the Coronary Arteries Detected by CT Angiography in Symptomatic Patients

    Ghazi A. Alshumrani*

    Congenital Heart Disease, Vol.19, No.2, pp. 197-206, 2024, DOI:10.32604/chd.2024.049401 - 16 May 2024

    Abstract Objective: Coronary artery anatomical variations and anomalies are an important topic due to their potential clinical manifestations. This study aims to investigate the prevalence of coronary artery anatomical variations and anomalies in symptomatic patients with coronary computed tomography angiography (CCTA). Methods: This is a retrospective study that included all symptomatic patients who had CCTA in a tertiary care hospital in Saudi Arabia during a period of seven years. Results: The total number of included patients was 507 (60% males) with a mean age of 57.4 years. Approximately 41% had luminal stenoses, averaging 49.7%. The total number… More >

  • Open Access

    ARTICLE

    Intermediate and Long-Term Follow-Up of Transcatheter Closure of Congenital Coronary Cameral Fistulas in Infants and Children: Experience from a Single Center

    Yifan Li1, Zewen Chen2, Yumei Xie1, Shushui Wang1, Zhiwei Zhang1,*

    Congenital Heart Disease, Vol.18, No.4, pp. 413-430, 2023, DOI:10.32604/chd.2023.029848 - 15 September 2023

    Abstract Background: Limited data are available regarding intermediate and long-term outcomes of transcatheter closure (TCC) of coronary cameral fistulas (CCFs) in the pediatric patients. Methods: All pediatric patients diagnosed with CCFs who were scheduled to undergo TCC between 2005 and 2019 were retrospectively enrolled in the study. Results: A total of 66 patients (median age: 3.93 years, median weight: 15 kg) underwent attempted TCC of CCFs. Immediate successful device implantation was achieved in 62 patients, and immediate complete occlusion was achieved in 44 patients (44/62%, 71.0%). The closure procedure was waived in 2 patients due to anatomical factors.… More >

  • Open Access

    ARTICLE

    Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

    B. Ramesh, Kuruva Lakshmanna*

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2513-2528, 2023, DOI:10.32604/cmes.2023.028944 - 03 August 2023

    Abstract Major chronic diseases such as Cardiovascular Disease (CVD), diabetes, and cancer impose a significant burden on people and healthcare systems around the globe. Recently, Deep Learning (DL) has shown great potential for the development of intelligent mobile Health (mHealth) interventions for chronic diseases that could revolutionize the delivery of health care anytime, anywhere. The aim of this study is to present a systematic review of studies that have used DL based on mHealth data for the diagnosis, prognosis, management, and treatment of major chronic diseases and advance our understanding of the progress made in this… More > Graphic Abstract

    Multi Head Deep Neural Network Prediction Methodology for High-Risk Cardiovascular Disease on Diabetes Mellitus

  • Open Access

    ARTICLE

    A Robust Tuned Random Forest Classifier Using Randomized Grid Search to Predict Coronary Artery Diseases

    Sameh Abd El-Ghany1,2, A. A. Abd El-Aziz1,3,*

    CMC-Computers, Materials & Continua, Vol.75, No.2, pp. 4633-4648, 2023, DOI:10.32604/cmc.2023.035779 - 31 March 2023

    Abstract Coronary artery disease (CAD) is one of the most authentic cardiovascular afflictions because it is an uncommonly overwhelming heart issue. The breakdown of coronary cardiovascular disease is one of the principal sources of death all over the world. Cardiovascular deterioration is a challenge, especially in youthful and rural countries where there is an absence of human-trained professionals. Since heart diseases happen without apparent signs, high-level detection is desirable. This paper proposed a robust and tuned random forest model using the randomized grid search technique to predict CAD. The proposed framework increases the ability of CAD… More >

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