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  • Open Access

    ARTICLE

    Unsafe Sanitation and the Global Incidence of Congenital Heart Disease: A Spatial Correlation Analysis

    Yi Shen1,2,3,#, Zeye Liu4,#, Jing Xie5,#, Xuanqi An6,7,8,#, Zeyu Jing1,2,3, Wenchuan Liao1,2,3, Yifan Zhu1,2,3, Chenyu Jiang1,2,3, Xingliang Zhou1,2,3, Xu Huang1,2,3, Tianyu Liu1,2,3, Jian Liu1,2,3, Yuxi Ji1,2,3, Yi Yan1,3, Bei Feng1,3, Yiwei Liu1,2,3, Yi Shi4,*, Yanjun Sun2,*, Hao Zhang1,2,3,*

    Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085942 - 31 July 2026

    Abstract Background: Congenital heart disease (CHD) is the most common congenital anomaly worldwide, yet the contribution of environmental factors to its global geographic variation remains incompletely understood. We aimed to systematically identify environmental factors associated with CHD incidence using an integrated framework combining machine learning and spatial epidemiology. Methods: Country-level data were obtained from the Global Burden of Disease (GBD) 2021 study. Boruta algorithm-based feature selection and random forest SHAP value ranking were applied to identify environmental factors associated with CHD incidence. Negative binomial regression was used to evaluate the associations between selected variables and CHD incidence.… More >

  • Open Access

    REVIEW

    Improving Fetal Cardiovascular Care through the Fetal Cardiac Intervention Registry and the Fetal Heart Society

    Whitnee Hogan1,2,*, Thomas S. Przybycien3,4, Anita J. Moon-Grady3,4

    Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.085038 - 31 July 2026

    Abstract Improvements in fetal cardiac imaging have highlighted the need for large, multidisciplinary collaborations to further advance fetal cardiovascular care. The Fetal Cardiac Intervention Registry (IFCIR), established in 2011, aims to improve outcomes in fetuses with congenital heart disease (CHD) considered amenable to fetal cardiac intervention (FCI). The registry compiles data from multiple international centers to better define indications, selection criteria, procedural techniques, complications, and outcomes of FCI. The Fetal Heart Society (FHS), founded in 2014, is a non-profit organization dedicated to advancing the understanding of in utero cardiovascular physiology through collaborative research, education and mentorship. The… More >

  • Open Access

    REVIEW

    The Advanced Cardiac Therapies Improving Outcomes Network (ACTION): A Multicenter Registry and Learning Health System for Pediatric and Congenital Heart Disease Associated Heart Failure

    Anusha Konduri1,*, Toni Duganiero2, Lauren Smyth2, Shahnawaz Amdani3, Angela Lorts2, Sabrina Law4, Jacqueline Lamour5, Deipanjan Nandi6, Aryaz Sheybani7, Sarah Wilkens8, Thomas Young9, Mark Bleiweis10, Jennifer Conway11

    Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.082288 - 31 July 2026

    Abstract Pediatric heart failure is associated with substantial morbidity, mortality, and health care utilization across diverse diagnoses and care settings. Despite major advances in surgical and medical care, evidence-based management of heart failure in the pediatric population, especially with congenital heart disease (CHD), remains limited due to a small patient population, marked anatomic and physiologic heterogeneity, and barriers to conducting traditional randomized clinical trials. Clinical registries have provided important insights into pediatric heart failure, and the increasing complexity of these populations has underscored the value of learning health system approaches to data generation and improvement. The… More >

  • Open Access

    COMMENTARY

    Spirituality in Congenital Heart Disease Counseling: Toward a Practical, Evidence-Informed Framework for Family-Centered Care

    Luciane Alves da Rocha Amorim1, Edward Araujo Júnior2,3,*

    Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.080881 - 31 July 2026

    Abstract The diagnosis of congenital heart disease (CHD) brings profound uncertainty and emotional distress to families, yet the spiritual dimension of this experience is often overlooked in routine counseling. Based on a narrative review of the literature and our group’s prior scoping work, this commentary proposes a practical, ethically grounded framework for integrating spiritual awareness into fetal and pediatric CHD counseling. We distinguish spirituality from related constructs, religiosity, coping, resilience, and cultural values, and discuss both its potential benefits (e.g., fostering resilience, supporting decision-making) and risks (e.g., spiritual distress, fatalism, conflict with medical recommendations). Practical guidance… More >

  • Open Access

    ARTICLE

    A Prediction Nomogram for Early Major Adverse Events after Cardiac Surgery in Infants with Congenital Heart Disease: A Retrospective Study

    Fan Yang1,#, Xia Li1,#, Zhiyuan Zhu1,#, Shilin Wang1,#, Zhongyuan Lu1, Chao Yue2, Leilei Duan1, Xu Wang1,*

    Structural and Congenital Heart Disease, Vol.21, No.3, 2026, DOI:10.32604/schd.2026.075534 - 31 July 2026

    Abstract Background: Early major adverse events (MAEs) after cardiac surgery are associated with substantial postoperative morbidity and mortality in infants with congenital heart disease (CHD). Early identification of patients at increased risk may facilitate timely intervention and optimize postoperative management. This study aimed to identify perioperative predictors of early MAEs and to develop a nomogram for individualized postoperative risk assessment. Methods: This single-center retrospective study included 766 infants with CHD who underwent cardiac surgery with cardiopulmonary bypass at Beijing Fuwai Hospital between January 2020 and December 2021. Early MAEs were defined as the occurrence of at least… More >

  • Open Access

    ARTICLE

    A Modified Gorilla Troops Optimizer-Based Explainable Machine Learning for Early Cardiovascular Disease Prediction

    Israt Jahan1, Afsana Begum1, Bibhas Roy Chowdhury Piyas1,*, Fahmid Al Farid2,3,*, Fatama Jannat Tisha1, Shahrin Islam1, Abu Saleh Musa Miah4, Hezerul Abdul Karim3,*

    CMC-Computers, Materials & Continua, Vol.88, No.3, 2026, DOI:10.32604/cmc.2026.081631 - 23 July 2026

    Abstract Transforming underlying cardiovascular risk into actionable clinical decisions remains a major challenge in contemporary healthcare. Despite advances in cardiology, early-stage cardiovascular disease often remains undetected, which hinders timely intervention and leads to preventable deaths. To overcome this problem, this study presents an explainable machine learning framework for the early diagnosis of cardiovascular disease (CVD). Initially, this study examined several data-balancing strategies, for example, SMOTE (Synthetic Minority Over-sampling Technique), SMOTETomek (Synthetic Minority Over-sampling Technique + Tomek Links), Tomek Links, ADASYN (Adaptive Synthetic Sampling), and SMOTE-ENN (Synthetic Minority Over-sampling Technique-Edited Nearest Neighbors) within the data-preprocessing pipeline. We… More >

  • Open Access

    ARTICLE

    Chinese Expert Consensus on the Prevention and Management of Thrombosis Associated with Central Venous Catheters in Children with Congenital Heart Disease

    Wenyi Luo1,#, Li Yuan1,#, Ruiling Feng2, Kai Pu3, Yali Huang4, Mingxiong Li3, Xiaomin Tang5, Huimei Wang6, Xuejing Wang7, Wentin Zhang8, Hong Zheng9, Xiuhong Li10, Dandong Luo11, Shanshan Shi5, Yaqin Shu3, Xu Wang12, Na Du13, Yujie Shen14, Yamin Song15, Huihua Wang16, Xia Xie17, Qian Zhang12, Qianqian Zhang18, Yuanyuan Zhang19, Yueyue Zhang1, Xiaojie Hu20, Zhimin Li21, Xiaolan Pan10, Youdong Pan22, Wenyuan Shang23, Hairui Sun24, Beini Wang25, Yanhua Wang26, Yanyan Wang27, Yongting Wang28, Guihong Yang29, Yan Zhou30, Zhimin Yang1, Xuanxuan Li1, Huiwen Chen1,§,*, Zhuoming Xu1,§,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.082239 - 11 June 2026

    Abstract Objective: To develop the Chinese expert consensus on the prevention and management of central venous catheter (CVC)-related thrombosis in children with congenital heart disease (CHD) (hereafter referred to as the Consensus), with the aim of standardizing and improving preventive and therapeutic strategies for CVC-related thrombosis in pediatric patients with CHD. Methods: The consensus was formulated in strict accordance with the principles of evidence-based medicine by a multidisciplinary panel of experts. Evidence was appraised and synthesized using the JBI Evidence Grading System. The initial draft was refined through two rounds of Delphi consultations involving 16 experts and… More >

  • Open Access

    ARTICLE

    Development and Implementation of a Patient Engagement Network for Advancing Research in Adult Congenital Heart Disease

    Naomi Kalume1,*, Shreya Papneja1, Jamie L. Jackson2, Richard Krasuski3, Anushree Agarwal4, Arwa Saidi5, David Harrison6,7, Matthew Lewis8, Anita Mathews1, Scott Leezer9, Ken Woodhouse10, Aliza Marlin10, Danielle M. Hile10, Ryan Joy O’Connor11, Ruth Phillippi1, Thomas Carton12, Anitha S. John1

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.081700 - 11 June 2026

    Abstract Background: Adults with congenital heart disease (ACHD) experience lifelong medical and psychosocial challenges, yet research in this population is limited by incomplete longitudinal data and insufficient incorporation of patient perspectives. Although patient engagement is increasingly recognized as important, structured and sustainable engagement models in ACHD research remain limited. Objectives: The paper aims to describe the development and operational structure of the Congenital Heart Initiative (CHI) Engagement Network and to report outcomes from two annual patient-powered research meetings used to identify and refine ACHD research priorities. Methods: The CHI Engagement Network was established as a multi-stakeholder research infrastructure… More >

  • Open Access

    ARTICLE

    Predicting Congenital Heart Disease Using Maternal Risk Factors: A Machine Learning Study from an Indian Tertiary Cardiac Care Centre

    Shruthi S*, D. Hanumanth Rao Naidu

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.079590 - 11 June 2026

    Abstract Background: Congenital Heart Disease (CHD) is an abnormality of the heart arising before birth. CHD diagnosis poses a critical challenge, particularly in resource-constrained settings where access to doctors and skilled radiologists is limited. The maternal risk factors contributing to CHD include modifiable and non-modifiable causes. Very few studies mention about these maternal risk factors for the Indian population to build predictive machine learning models for disease forecasting. The aim is to explore the feasibility of predicting CHD occurrence using maternal risk factor data and machine learning models in an Indian context. Methods: This research utilizes Indian-origin… More >

  • Open Access

    EDITORIAL

    3D Ultrasound of Fetal Congenital Heart Disease: Present and Future?

    Edward Araujo Júnior1,2,*, Luciane Alves da Rocha Amorim3, Nathalie Jeanne Magioli Bravo-Valenzuela4,5

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.079410 - 11 June 2026

    Abstract This article has no abstract. More >

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