Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (357)
  • 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 >

  • Open Access

    ARTICLE

    Dynamic Plasma Exosomal miRNA Profiling Uncovers Molecular Trajectories of Cardiac Repair following Cone Reconstruction for Ebstein’s Anomaly

    Jiaxiong Wu1,2,3,#, Runzhang Liang1,#, Naijimuding ABUDUREXITI4,#, Jing Ling2, Zirui Peng2, Jinxin Li1, Canxin Wang1, Yong Zhang1, Haiyun Yuan1,2,3,*, Shusheng Wen1,2,3,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.077455 - 11 June 2026

    Abstract Objective: Cone reconstruction (CR) is the preferred surgical treatment for Ebstein’s anomaly (EA). However, the molecular mechanisms underlying postoperative cardiac repair remain unclear. This study investigated the dynamic changes of plasma exosomal microRNAs (miRNAs) in EA patients before and after CR, exploring their association with postoperative cardiac function recovery and potential molecular mechanisms. Methods: Plasma samples were collected from 10 EA patients undergoing CR preoperatively, 1 day postoperatively, and 7 days postoperatively, along with samples from 10 healthy controls. Plasma exosomes were isolated using size-exclusion chromatography. Exosomal miRNAs were extracted and sequenced, followed by differential expression,… More >

  • Open Access

    ARTICLE

    Glucocorticoid Therapy for Severe Infection in Children with Congenital Heart Disease: Effects on Immune Regulation and Clinical Outcomes

    Jie Wu1,#, Guiwen Liang1,#, Ya Pan1,#, Talaibaike Maimaijuma2,3, Xianggui Xu2,3, Juying Lu1, Zhongwei Huang1,*, Lei Qi1,*, Haiyan Jiang1,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.077080 - 11 June 2026

    Abstract Background: Children with congenital heart disease (CHD) complicated by severe infection often present with immature immune function and poor prognosis. Evidence supporting the use of glucocorticoids in this population, particularly with dynamic immune monitoring, remains limited. Methods: A retrospective analysis was conducted on 183 CHD children with severe infections admitted to the Pediatric Intensive Care Unit (PICU) from 2019 to 2023. Patients were divided into two groups: the glucocorticoid intervention group (n = 92, methylprednisolone + standard treatment) and the control group (n = 91, standard treatment). Immune indicators (Interleukins-6 (IL-6), C-reactive protein (CRP), procalcitonin (PCT), CD4+/CD8+ ratio… More >

  • Open Access

    ARTICLE

    The Effect of Prenatal Diagnosis of Critical Congenital Heart Disease on Postnatal Mortality and Morbidity: A Retrospective Cohort Study

    Aygül Kaya Akıllı1, Osman Akdeniz2, Celal Özcan3,*

    Structural and Congenital Heart Disease, Vol.21, No.2, 2026, DOI:10.32604/schd.2026.076628 - 11 June 2026

    Abstract Background: Congenital heart disease (CHD) refers to malformations of the heart or great vessels that occur during the intrauterine period. Critical CHD refers to heart conditions that require medical intervention or surgical procedures in the early stages of life. Methods: In this retrospective cohort study, newborns aged 0 to 28 days who were admitted to the Neonatal Intensive Care Unit and the Pediatric Cardiovascular Surgery Clinic of our hospital with a diagnosis of critical CHD between January 2019 and September 2024 were evaluated. Results: Among 160 patients, 52 (32.5%) had a prenatal diagnosis. Overall mortality was significantly… More >

  • Open Access

    ARTICLE

    Comparative Performance Analysis of Machine Learning Algorithms for Early Detection of Heart Disease

    Kadriye Simsek Alan*, Busra Senel Kahyaoglu

    Journal on Artificial Intelligence, Vol.8, pp. 203-230, 2026, DOI:10.32604/jai.2026.078359 - 15 April 2026

    Abstract Cardiovascular diseases remain one of the leading causes of mortality worldwide, making early and reliable diagnosis a critical challenge for modern healthcare systems. In this study, a systematic comparative performance analysis of widely used machine learning algorithms is conducted for the early detection of heart disease using tabular clinical data. Rather than proposing a novel model architecture, the primary objective is to provide a fair, reproducible, and clinically meaningful evaluation of commonly adopted classifiers under consistent experimental conditions. The Kaggle Heart Failure dataset is employed, and multiple machine learning models—including tuned Random Forest, tuned XGBoost,… More >

  • Open Access

    ARTICLE

    Expert Consensus on Right Axillary Incision Approach for Open-Heart Surgery in Congenital Heart Disease

    Xuming Mo1,*, Taibing Fan2,*, Zhongdong Hua3,*, Christoph Haller4, Shinichiro Oda5, Shuhua Luo6, Weijie Liang2, Yuzhong Yang1, Huaipu Liu3, Nianguo Dong7, Shoujun Li8, Xinxin Chen9, Jimei Chen10, Hao Zhang11, Qiang Shu12, Haibo Zhang11, Quansheng Xing13, Jinghao Zheng11, Xiaofeng Li14, Teng Ming15, Qi An16, Ping Wen17, Qiang Wang18, Jirong Qi1, Huiwen Chen11, Shusheng Wen19, Rui Chen20, Ming Ye21, Keming Yang8, Minhua Fang22, Caixia Liu23, Ke Lin16, Zhongshi Wu24, Xiangming Fan12, Zhengxia Pan25, Yiqun Ding26, Ming’an Pi27, Xin Li28, Yong Zou29, Shuguang Tao30, Renwei Chen31, Li Ma9, Libing Zhang32, Tao You33, Dongshan Liao34, Cheng Zhou35, Hongxin Li36, Gengxu Zhou37, Chunhu Gu38, Zhiqiang Li39, Yonggang Li25, Hui Zhang40, Xiaomin He11, Yanan Lu11, Haifa Hong41, Benqing Zhang8, Li Gong27, Jiafeng Qi42, Song Bai39, Yuhang Liu43, Tianli Zhao24, Cardiothoracic Surgery Group, Pediatric Surgery Branch of Chinese Medical Doctor Association, Cardiac Surgery Group, Pediatric Surgery Branch of Chinese Medical Association, the Asian Association for Pediatric and Congenital Heart Surgery

    Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.077974 - 31 March 2026

    Abstract Congenital heart disease (CHD) is a common birth defect in children, and surgical intervention is the primary treatment. The traditional standard median sternotomy (MS) has drawbacks such as significant trauma and obvious scarring. The right axillary incision (RAI) has gradually become a conventional approach due to its advantages of preserving thoracic cage integrity, small incision size, rapid recovery, and hidden scarring. However, there is currently a lack of relevant guidelines and consensus for its application. This consensus adopts the international Delphi process, systematically searching domestic and foreign literature on CHD from 1982 to 2024. It… More >

  • Open Access

    REVIEW

    Research Advances on the Mechanisms and Clinical Outcomes of Hyperglycemia in Pregnancy Leading to Congenital Heart Disease in Offspring

    Jiafei He1,2, Ailixiati Alifu2, Haifan Wang2, Renwei Chen1,2,*

    Structural and Congenital Heart Disease, Vol.21, No.1, 2026, DOI:10.32604/schd.2026.075858 - 31 March 2026

    Abstract Hyperglycemia in pregnancy (HIP) is an important independent risk factor for congenital heart disease (CHD) in offspring. With an increasing number of women of childbearing age experiencing gestational hyperglycemia, the impact of an intrauterine hyperglycemic environment on fetal development has drawn significant attention. However, the teratogenic mechanisms underlying its effects on cardiac development remain incompletely understood. This review systematically analyzes relevant literature to summarize its underlying mechanisms and key findings: A hyperglycemic environment disrupts cardiac neural crest cell migration, differentiation, and the proliferation/apoptosis balance of cardiomyocytes by inducing oxidative stress, endoplasmic reticulum stress, and inflammatory… More >

Displaying 1-10 on page 1 of 357. Per Page