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  • Open Access

    ARTICLE

    A Federated Learning Approach for Cardiovascular Health Analysis and Detection

    Farhan Sarwar1, Muhammad Shoaib Farooq1, Nagwan Abdel Samee2,*, Mona M. Jamjoom3, Imran Ashraf4,*

    CMC-Computers, Materials & Continua, Vol.84, No.3, pp. 5897-5914, 2025, DOI:10.32604/cmc.2025.063832 - 30 July 2025

    Abstract Environmental transition can potentially influence cardiovascular health. Investigating the relationship between such transition and heart disease has important applications. This study uses federated learning (FL) in this context and investigates the link between climate change and heart disease. The dataset containing environmental, meteorological, and health-related factors like blood sugar, cholesterol, maximum heart rate, fasting ECG, etc., is used with machine learning models to identify hidden patterns and relationships. Algorithms such as federated learning, XGBoost, random forest, support vector classifier, extra tree classifier, k-nearest neighbor, and logistic regression are used. A framework for diagnosing heart disease More >

  • Open Access

    ARTICLE

    Long-Term Outcome of Adult Congenital Heart Disease Patients with Implantable Cardioverter-Defibrillators

    Mai Ishiwata1,2, Kohei Ishibashi1,*, Yoshiaki Kato3, Heima Sakaguchi3, Toshihiro Nakamura1, Satoshi Oka1, Yuichiro Miyazaki1, Akinori Wakamiya1, Nobuhiko Ueda1, Kenzaburo Nakajima1, Tsukasa Kamakura1, Mitsuru Wada1, Yuko Inoue1, Koji Miyamoto1, Takeshi Aiba1, Norihiko Takeda2, Kengo Kusano1

    Congenital Heart Disease, Vol.20, No.3, pp. 273-286, 2025, DOI:10.32604/chd.2025.067716 - 11 July 2025

    Abstract Background: Ventricular arrhythmia is a common cause of mortality in adult congenital heart disease (ACHD). The beneficial effects of implantable cardioverter-defibrillators (ICD) in patients with ACHD have been demonstrated; however, evidence on this topic remains insufficient. This study aimed to assess the long-term outcomes after ICD implantation in the ACHD population. Methods: We retrospectively reviewed 35 consecutive patients with ACHD who underwent ICD implantation between December 2012 and August 2022. ICD implantation was classified as primary or secondary prevention. The long-term outcomes, including all-cause mortality, appropriate and inappropriate ICD therapy, and complications related to ICD implantation, were… More > Graphic Abstract

    Long-Term Outcome of Adult Congenital Heart Disease Patients with Implantable Cardioverter-Defibrillators

  • Open Access

    REVIEW

    Contemporary Management of Failing Modified Fontan after the Total Cavopulmonary Connection

    Honghao Fu#, Zhangwei Wang#, Shoujun Li*

    Congenital Heart Disease, Vol.20, No.3, pp. 287-303, 2025, DOI:10.32604/chd.2025.067619 - 11 July 2025

    Abstract Congenital heart disease (CHD) stands as the most common cardiovascular disorder among children, exerting a profound impact on the growth, development, and quality of life of the affected pediatric population. The modified Fontan procedure, the total cavopulmonary connection (TCPC), has become a pivotal palliative or definitive surgical method for treating complex CHD cases, including single ventricle and tricuspid valve atresia. Through staged surgical processes, this technique directly diverts vena cava blood into the pulmonary artery, thus improving the patient’s oxygenation status. Despite the initial success of the Fontan circulation in providing a means for survival More > Graphic Abstract

    Contemporary Management of Failing Modified Fontan after the Total Cavopulmonary Connection

  • Open Access

    REVIEW

    Applications of Artificial Intelligence on Fetal Echocardiography

    Juliana Assis Alves1, Mayra Martins Melo1, Lorenza Machado Teixeira2, Nathalie Jeanne Bravo-Valenzuela3, Edward Araujo Júnior1,2,*

    Congenital Heart Disease, Vol.20, No.3, pp. 369-381, 2025, DOI:10.32604/chd.2025.066358 - 11 July 2025

    Abstract Congenital heart disease (CHD) is the most common congenital anomaly and a major cause of death among fetal malformations, but prenatal diagnosis is considered to be low. The development of artificial intelligence (AI) in fetal echocardiography has made it possible to automate and standardise the examination, improving the variation in CHD detection rates between different regions and reducing the reliance on operator experience. AI includes any computer program (algorithms and models) that mimics human logic and intelligence, and its use in fetal echocardiography is mainly to acquire and optimise images, perform automatic measurements, identify discrepant More >

  • Open Access

    REVIEW

    Pulmonary Hypertension Associated with Congenital Heart Disease: A Clinical Primer

    Lily M. Landry1,*, Christopher L. Jenks2

    Congenital Heart Disease, Vol.20, No.3, pp. 325-339, 2025, DOI:10.32604/chd.2025.066142 - 11 July 2025

    Abstract Pulmonary hypertension associated with congenital heart disease represents a significant challenge for clinicians due to its complex pathophysiology and diverse presentation. This patient population exhibits a broad spectrum of anatomical and hemodynamic abnormalities, with congenital heart disease-associated pulmonary arterial hypertension (PAH-CHD) comprising a significant proportion of pediatric pulmonary hypertension (PH) cases. Although progress in diagnostic methods and treatment options has been made, PH continues to be a major contributor to illness and death among affected pediatric patients, especially when diagnosis or treatment is postponed. This review aims to equip non-specialist clinicians with a better understanding 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

    Global Trends, Health Inequalities, and Relationship with Socio-Demographic Index in Congenital Heart Disease: An Analysis from 1990 to 2021

    Jingdong Qi1,#, Fei Zhang1,#, Xia Zhang2,*

    Congenital Heart Disease, Vol.20, No.3, pp. 383-400, 2025, DOI:10.32604/chd.2025.064790 - 11 July 2025

    Abstract Background: Congenital heart disease (CHD) remains a significant global health concern, with considerable heterogeneity across age groups, genders, and regions. Objective: This study aimed to investigate the global epidemiological patterns, inequalities, and socio-demographic determinants of CHD burden from 1990 to 2021 to inform targeted interventions. Methods: This study aimed to investigate the global epidemiological patterns, inequalities, and socio-demographic determinants of CHD burden from 1990 to 2021 to inform targeted interventions. Results: CHD burden increased with age, peaking among individuals aged 70 years and older. This does not reflect new-onset disease, but rather the accumulation of late diagnoses,… More >

  • Open Access

    ARTICLE

    A Machine Learning-Based Framework for Heart Disease Diagnosis Using a Comprehensive Patient Cohort

    Saadia Tabassum1,2, Fazal Muhammad2, Muhammad Ayaz Khan3, Muhammad Uzair Khan2,4, Dawar Awan4, Neelam Gohar5, Shahid Khan6, Amal Al-Rasheed7,*

    CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 1253-1278, 2025, DOI:10.32604/cmc.2025.065423 - 09 June 2025

    Abstract Early and accurate detection of Heart Disease (HD) is critical for improving patient outcomes, as HD remains a leading cause of mortality worldwide. Timely and precise prediction can aid in preventive interventions, reducing fatal risks associated with misdiagnosis. Machine learning (ML) models have gained significant attention in healthcare for their ability to assist professionals in diagnosing diseases with high accuracy. This study utilizes 918 instances from publicly available UCI and Kaggle datasets to develop and compare the performance of various ML models, including Adaptive Boosting (AB), Naïve Bayes (NB), Extreme Gradient Boosting (XGB), Bagging, and… More >

  • Open Access

    ARTICLE

    Predicting Factors of Physical Activity among Children with Congenital Heart Disease after Corrective Surgery

    Nuttanicha Sriboonyawattana*, Thitima Suklerttrakul

    Congenital Heart Disease, Vol.20, No.2, pp. 231-244, 2025, DOI:10.32604/chd.2025.064662 - 30 April 2025

    Abstract Objective: Many children with fully corrected congenital heart disease (CHD) avoid physical activity (PA). This descriptive study sought to determine child and parental factors that could predict PA levels in Thai children after corrective surgery. Methods: Ninety school-aged children with fully corrected CHD were recruited from a cardiology clinic at a university hospital in northern Thailand. Data collection involved five validated questionnaires: (1) the Modified Thai Adolescent’s Physical Activity Questionnaire, (2) the Child Health Status Questionnaire-Forms I and II, (3) the Parental Knowledge on School-aged Children’s Physical Activity Scale, (4) the Perceived Self-efficacy to Physical Activity… More >

  • Open Access

    REVIEW

    Variants and Molecular Mechanism of NOTCH1 in Congenital Heart Disease

    Hongqun Xiang1, Jian Zhuang2,3, Luoning Bao4,5, Yan Shi2,3,*

    Congenital Heart Disease, Vol.20, No.2, pp. 245-263, 2025, DOI:10.32604/chd.2025.064366 - 30 April 2025

    Abstract Congenital heart disease (CHD) is the most common birth defect, with 34% of cases attributed to genetic variants. NOTCH1, a multi-domain transmembrane protein, regulates heart development by controlling the differentiation and migration of myocardial mesoderm cells, and different variants are present in different types of CHD. In this review, we aim to provide a detailed description of NOTCH1 structural domains and their functions, highlighting NOTCH1 variants in CHD and the molecular mechanisms through which they contribute to CHD occurrence. NOTCH1 has two main domains, the NOTCH extracellular domain (NECD) and the NOTCH intracellular domain… More >

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