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

Juliana Assis Alves¹, Mayra Martins Melo¹, Lorenza Machado Teixeira², Nathalie Jeanne Bravo-Valenzuela³, Edward Araujo Júnior^1,2,*

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 >

Lily M. Landry^1,*, 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 >

Guozhen Wang^1,2, Yong An^1,2,*

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 >

Jingdong Qi^1,#, Fei Zhang^1,#, Xia Zhang^2,*

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 >

Prasanna Kottapalle^1,*, Tan Kuan Tak², Pravin Ramdas Kshirsagar³, Gopichand Ginnela⁴, Vijaya Krishna Akula⁵

CMC-Computers, Materials & Continua, Vol.84, No.2, pp. 3857-3892, 2025, DOI:10.32604/cmc.2025.065287 - 03 July 2025

Abstract Heart failure prediction is crucial as cardiovascular diseases become the leading cause of death worldwide, exacerbated by the COVID-19 pandemic. Age, cholesterol, and blood pressure datasets are becoming inadequate because they cannot capture the complexity of emerging health indicators. These high-dimensional and heterogeneous datasets make traditional machine learning methods difficult, and Skewness and other new biomarkers and psychosocial factors bias the model’s heart health prediction across diverse patient profiles. Modern medical datasets’ complexity and high dimensionality challenge traditional prediction models like Support Vector Machines and Decision Trees. Quantum approaches include QSVM, QkNN, QDT, and others.… More >

Saadia Tabassum^1,2, Fazal Muhammad², Muhammad Ayaz Khan³, Muhammad Uzair Khan^2,4, Dawar Awan⁴, Neelam Gohar⁵, Shahid Khan⁶, Amal Al-Rasheed^7,*

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 >

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 >

Baker M. Ayyash¹, Yen Chuan Chen², Ahmad Sallehuddin², Ziyad M. Hijazi^1,*

Congenital Heart Disease, Vol.20, No.2, pp. 143-179, 2025, DOI:10.32604/chd.2025.064599 - 30 April 2025

Abstract Pediatric heart valve replacement (PHVR) remains a challenging procedure due to the unique anatomical and physiological characteristics of children, including growth and development, as well as the long-term need for durable valve function. This review provides an overview of both surgical and transcatheter options for aortic, mitral, pulmonary, and tricuspid valve replacements in pediatric patients, highlighting the indications, outcomes, and advancements in technology and technique. Surgical valve replacement traditionally involves the implantation of biological or mechanical prosthetic valves, with biological valves being preferred in children to reduce the need for lifelong anticoagulation therapy. However, the… More >

Hongqun Xiang¹, Jian Zhuang^2,3, Luoning Bao^4,5, Yan Shi^2,3,*

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 >