Aisa Zulibiya^1,2,#, Jing Wen^3,#, Huiqing Yu^3,#, Xiaoming Chen³, Lei Xu³, Xiao Ma^1,2, Baojian Zhang^1,2,*

Congenital Heart Disease, Vol.18, No.6, pp. 611-625, 2023, DOI:10.32604/chd.2023.047689

Abstract Background: Tetralogy of Fallot (TOF) is a very common cyanotic congenital heart disease. Endothelial-to-mesenchymal transition (EndoMT) is recognized as a physiological mechanism involved in embryonic heart development and endothelial formation. However, there is still a gap in the reports related to the mechanism of EndoMT development in TOF. Methods: First, transcriptomic data of single cell nuclei of TOF and Donor were obtained based on the Gene Expression Omnibus (GEO) database, and the data were normalized and clustered by dimensionality reduction using the Seurat package. Subsequently, differentially expressed genes (DEGs) between TOF and Donor were screened using the “FindMarkers” function, and… More >

Dian Kesumarini^1,2, Yunita Widyastuti³, Cindy Elfira Boom¹, Lucia Kris Dinarti^4,*

Congenital Heart Disease, Vol.18, No.6, pp. 671-678, 2023, DOI:10.32604/chd.2023.044746

Abstract Tetralogy of Fallot (TOF) with total anomalous pulmonary vein connections (TAPVC) is a rare type of complex congenital heart disease among all TOF cases. Co-presentation of major aortopulmonary collateral arteries (MAPCAs) compensates for the lack of central pulmonary blood flow and decreases the severity of right-to-left shunting in TOF. We present a case of a 2-year-old child with complex diagnoses of TOF, TAPVC, a large secundum atrial septal defect (ASD), and intraoperatively identified MAPCAs. She underwent surgery to repair the TAPVC, valve-sparing reconstruction of the right ventricular outflow tract, interventricular defect closure, and the creation of patent foramen ovale (PFO).… More >

Kristi K. Westphaln^1,2,*, Karen Kay Imagawa^2,3, Lorena Espinosa Smith^1,4, Julia Srivastava⁵, Nancy A. Pike^1,5

Congenital Heart Disease, Vol.18, No.6, pp. 657-670, 2023, DOI:10.32604/chd.2023.044179

Abstract Background: Congenital heart disease (CHD) is a chronic medical condition often diagnosed at birth and requires surgical intervention, multiple hospitalizations, and lifelong care. This can put significant stress on the family, leading to altered maternal mental health, bonding and attachment issues, and the potential for child abuse. The purpose of this study is to explore the characteristics of a sample of young children with CHD who experienced hospitalization with concurrent concern for child abuse in a free-standing pediatric tertiary care hospital. Methods: Electronic medical records were reviewed for children aged 0–5 years old who were hospitalized with concern for child… More >

Gustavo Foronda^1,2, Vanessa Ferreira Amorim de Melo^2,3,*, Claudia Regina Pinheiro de Castro Grau⁴, Ingrid Magatti Piva¹, Glaucia Maria Penha Tavares⁴, Ana Cristina Sayuri Tanaka¹, Nana Miura¹

Congenital Heart Disease, Vol.18, No.6, pp. 649-656, 2023, DOI:10.32604/chd.2023.027987

Abstract Background: Children with congenital heart disease (CHD), even after surgical approaches, and especially those who undergo staged procedures in the first months of life, remain vulnerable to readmissions and complications, requiring very close monitoring and differentiated intervention strategies. Methods: Descriptive and exploratory study, of the experience report type, which presents the process of building the high-risk outpatient clinic for complex congenital heart diseases (AAR) at the Instituto do Coração (InCor). Results: Report of the path taken to structure the AAR, demonstrating the organization, interface with the multidisciplinary team, admission and discharge criteria, training, and patient profile. In these five years… More >

François-Xavier Van Vyve¹, Karlien Carbonez², Jelena Hubrechts², Geoffroy de Beco¹, Jean E. Rubay¹, Mona Momeni³, Thierry Detaille⁴, Alain J. Poncelet^1,*

Congenital Heart Disease, Vol.18, No.5, pp. 539-550, 2023, DOI:10.32604/chd.2023.042344

Abstract Objectives: Over the last decade, neonatal repair has been advocated for many congenital heart diseases. However, specific subgroups of complex congenital heart disease still require temporary palliation for which both surgical and endovascular techniques are currently available. We reviewed our institutional experience with shunt palliation with an emphasis on risk factors for early mortality. Methods: This is a single-center retrospective study on 175 patients undergoing surgery for central shunt or modified Blalock-Taussig shunt. All data were extracted from a prospectively collected computerized database. We identified risk factors for early mortality by uni- and multi-variable analysis. All data were censored at… More >

François-Xavier Van Vyve^1,#, Karlien Carbonez^2,#, Geoffroy de Beco¹, Stéphane Moniotte², Jean E. Rubay¹, Mona Momeni³, Laurent Houtekie⁴, Alain J. Poncelet^1,*

Congenital Heart Disease, Vol.18, No.5, pp. 525-537, 2023, DOI:10.32604/chd.2023.042341

Abstract Objective: Despite increasing enthusiasm for neonatal repair, patients with ductal-dependent circulation (pulmonary/systemic) or restrictive pulmonary blood flow still require initial palliation. Ductal stenting has emerged as an endovascular approach whereas modified-Blalock-Taussig and central shunt remain surgical references. In this study, we analyzed the relationship between pulmonary artery growth, sites of shunt connection, or antegrade pulmonary blood flow in surgically placed shunts. The need for secondary catheter-based interventions or pulmonary arterioplasty was also investigated. Methods: A retrospective single-center study analyzing 175 patients undergoing surgery for a central or modified-Blalock-Taussig shunt. Outcome growth variables were right pulmonary artery/left pulmonary artery diameters/Z scores,… More > Graphic Abstract

Vitaliy Suvorov^1,2,*, Olga Loboda², Maria Balakina¹, Igor Kulczycki²

Congenital Heart Disease, Vol.18, No.5, pp. 491-505, 2023, DOI:10.32604/chd.2023.030583

Abstract Background: Three-dimensional printing technology may become a key factor in transforming clinical practice and in significant improvement of treatment outcomes. The introduction of this technique into pediatric cardiac surgery will allow us to study features of the anatomy and spatial relations of a defect and to simulate the optimal surgical repair on a printed model in every individual case. Methods: We performed the prospective cohort study which included 29 children with congenital heart defects. The hearts and the great vessels were modeled and printed out. Measurements of the same cardiac areas were taken in the same planes and points at… More > Graphic Abstract

Sidra Abbas¹, Gabriel Avelino Sampedro^2,3, Shtwai Alsubai⁴, Ahmad Almadhor⁵, Tai-hoon Kim^6,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 665-680, 2023, DOI:10.32604/cmc.2023.041031

Abstract Cardiac disease is a chronic condition that impairs the heart’s functionality. It includes conditions such as coronary artery disease, heart failure, arrhythmias, and valvular heart disease. These conditions can lead to serious complications and even be life-threatening if not detected and managed in time. Researchers have utilized Machine Learning (ML) and Deep Learning (DL) to identify heart abnormalities swiftly and consistently. Various approaches have been applied to predict and treat heart disease utilizing ML and DL. This paper proposes a Machine and Deep Learning-based Stacked Model (MDLSM) to predict heart disease accurately. ML approaches such as eXtreme Gradient Boosting (XGB),… More >

Maryam Bukhari¹, Sadaf Yasmin¹, Sheneela Naz², Mehr Yahya Durrani¹, Mubashir Javaid³, Jihoon Moon⁴, Seungmin Rho^5,*

CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1251-1279, 2023, DOI:10.32604/cmc.2023.040329

Abstract Effective smart healthcare frameworks contain novel and emerging solutions for remote disease diagnostics, which aid in the prevention of several diseases including heart-related abnormalities. In this context, regular monitoring of cardiac patients through smart healthcare systems based on Electrocardiogram (ECG) signals has the potential to save many lives. In existing studies, several heart disease diagnostic systems are proposed by employing different state-of-the-art methods, however, improving such methods is always an intriguing area of research. Hence, in this research, a smart healthcare system is proposed for the diagnosis of heart disease using ECG signals. The proposed framework extracts both linear and… More >

Batyrkhan Omarov^1,*, Meirzhan Baikuvekov¹, Zeinel Momynkulov², Aray Kassenkhan³, Saltanat Nuralykyzy³, Mereilim Iglikova³

CMC-Computers, Materials & Continua, Vol.76, No.3, pp. 3745-3761, 2023, DOI:10.32604/cmc.2023.042627

Abstract Heart disease is a leading cause of mortality worldwide. Electrocardiograms (ECG) play a crucial role in diagnosing heart disease. However, interpreting ECG signals necessitates specialized knowledge and training. The development of automated methods for ECG analysis has the potential to enhance the accuracy and efficiency of heart disease diagnosis. This research paper proposes a 3D Convolutional Long Short-Term Memory (Conv-LSTM) model for detecting heart disease using ECG signals. The proposed model combines the advantages of both convolutional neural networks (CNN) and long short-term memory (LSTM) networks. By considering both the spatial and temporal dependencies of ECG, the 3D Conv-LSTM model… More >