William H. Marshall V^1,2,*, Lydia K. Wright²

Congenital Heart Disease, Vol.19, No.4, pp. 419-433, 2024, DOI:10.32604/chd.2024.056608 - 31 October 2024

Abstract Heart failure (HF) is common in patients with congenital heart disease (CHD) and there are limited medical therapies. Sodium-glucose cotransporter 2 inhibitors (SGLT2i) are a proven medical therapy in patients with acquired HF, though data are limited in patients with CHD. The aim of this review is to summarize the current evidence for use of SGLT2i in patients with CHD and identify future directions for study. In available publications, SGLT2i in patients with CHD seem to be well tolerated, with similar side effect profile to patients with acquired HF. Improvement in functional capacity and natriuretic More >

Sameh M. Said^1,2,*, Yasin Essa¹

Congenital Heart Disease, Vol.19, No.4, pp. 407-417, 2024, DOI:10.32604/chd.2024.055636 - 31 October 2024

Abstract Minimally invasive approaches for cardiac surgery in children have been lagging in comparison to the adult world. A wide range of the most common congenital heart defects in infants and children can be repaired successfully through a variety of non-sternotomy incisions. This has been shown to be associated with superior cosmetic results, shorter hospital stays, and rapid return to full activity compared to sternotomy. These approaches have been around for decades, but they have not been widely adopted for a variety of reasons. Right axillary thoracotomy is one of these approaches that we believe should More >

Catalina Vargas-Acevedo¹, Gareth J. Morgan¹, Rhynn Soderstrom², Richard Ing³, Nicholas Houska³, Jenny E. Zablah^1,*

Congenital Heart Disease, Vol.19, No.4, pp. 389-397, 2024, DOI:10.32604/chd.2024.055121 - 31 October 2024

Abstract Introduction: Pulmonary hemorrhage (PHm) is a life-threatening complication that can occur after catheter-based interventions in patients with pulmonary vein stenosis (PVS). Inhaled racemic epinephrine (iRE) and tranexamic acid (iTXA) have been used in other conditions, but a standardized approach in PVS has not been described. We aimed to describe the current management of PHm after PVS catheter-based interventions. Methods: We present a retrospective review of episodes of PHm from July 2022 to February 2024. PHm was defined as frank blood suctioned from the endotracheal tube including blood-tinged secretions and >3% decrease in saturations and/or ventilatory… More >

Fajri Marindra Siregar^1,2, Sofia Mubarika Haryana³, Dyah Wulan Anggrahini⁴, Lucia Kris Dinarti⁴, Anggoro Budi Hartopo^4,*

Congenital Heart Disease, Vol.19, No.4, pp. 375-388, 2024, DOI:10.32604/chd.2024.054742 - 31 October 2024

Abstract A particular type of endogenous noncoding RNAs known as circular RNAs (circRNAs) has now become possible biomarkers for several diseases because of their stability and tissue-specific expression patterns. CircRNAs might play a role in various of biological processes. The identification of particular circRNAs dysregulated in pulmonary arterial hypertension (PAH) raises the possibility of these molecules serving as biomarkers for the disease’s early diagnosis and treatment. This review mainly summarizes the role and potential of circRNA as a future biomarker in PAH related to congenital heart disease. This study presented several potential circRNA targets as diagnostic More > Graphic Abstract

Abbas Ali Hassan, Fardin Abdali-Mohammadi^*

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 971-983, 2024, DOI:10.32604/cmc.2024.053817 - 15 October 2024

Abstract From a medical perspective, the 12 leads of the heart in an electrocardiogram (ECG) signal have functional dependencies with each other. Therefore, all these leads report different aspects of an arrhythmia. Their differences lie in the level of highlighting and displaying information about that arrhythmia. For example, although all leads show traces of atrial excitation, this function is more evident in lead II than in any other lead. In this article, a new model was proposed using ECG functional and structural dependencies between heart leads. In the prescreening stage, the ECG signals are segmented from… More >

Varada Rajkumar Kukkala¹, Surapaneni Phani Praveen², Naga Satya Koti Mani Kumar Tirumanadham³, Parvathaneni Naga Srinivasu^4,5,*

Computer Systems Science and Engineering, Vol.48, No.5, pp. 1085-1112, 2024, DOI:10.32604/csse.2024.053603 - 13 September 2024

Abstract This paper investigates the application of machine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely; Z-Score incorporated with Grey Wolf Optimization (GWO) as well as Interquartile Range (IQR) coupled with Ant Colony Optimization (ACO). Using a performance index, it is shown that when compared with the Z-Score and GWO with AdaBoost, the IQR and ACO, with AdaBoost are not very accurate (89.0% vs. 86.0%) and less discriminative (Area Under the Curve (AUC) score of 93.0% vs. 91.0%). The Z-Score and GWO… More >

Deema Mohammed Alsekait¹, Ahmed Younes Shdefat², Ayman Nabil³, Asif Nawaz^4,*, Muhammad Rizwan Rashid Rana⁴, Zohair Ahmed⁵, Hanaa Fathi⁶, Diaa Salama AbdElminaam^6,7,8

CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 3967-3990, 2024, DOI:10.32604/cmc.2024.054591 - 12 September 2024

Abstract Heart disease remains a leading cause of morbidity and mortality worldwide, highlighting the need for improved diagnostic methods. Traditional diagnostics face limitations such as reliance on single-modality data and vulnerability to apparatus faults, which can reduce accuracy, especially with poor-quality images. Additionally, these methods often require significant time and expertise, making them less accessible in resource-limited settings. Emerging technologies like artificial intelligence and machine learning offer promising solutions by integrating multi-modality data and enhancing diagnostic precision, ultimately improving patient outcomes and reducing healthcare costs. This study introduces Heart-Net, a multi-modal deep learning framework designed to… More >

Wenjie Dong^1,2,#, Zhibin Hong^1,#, Aqian Wang², Kaiyu Jiang², Hai Zhu², Fu zhang², Zhaoxia Guo², Hongling Su^2,*, Yunshan Cao^3,*

Congenital Heart Disease, Vol.19, No.3, pp. 325-339, 2024, DOI:10.32604/chd.2024.052267 - 26 July 2024

Abstract Background: Current guidelines for managing pulmonary arterial hypertension (PAH) recommend a risk stratification approach. However, the applicability and accuracy of these strategies for PAH associated with congenital heart disease (PAH-CHD) require further validation. This study aims to validate the reliability and predictive accuracy of a simplified stratification strategy for PAH-CHD patients over a three-year follow-up. Additionally, new prognostic variables are identified and novel risk stratification methods are developed for assessing and managing PAH-CHD patients. Methods: This retrospective study included 126 PAH-CHD patients. Clinical and biochemical variables across risk groups were assessed using Kruskal-Wallis and Fisher’s… More > Graphic Abstract

Jiawang Xiao, Jianming Wang, Zhongchao Wang, Lili Meng, Ming Zhao, Qiguang Wang^*

Congenital Heart Disease, Vol.19, No.3, pp. 293-303, 2024, DOI:10.32604/chd.2024.051427 - 26 July 2024

Abstract Background: Transcatheter closure (TCC) has emerged as the preferred treatment for selected congenital heart disease (CHD). While TCC offers benefits for patients with postoperative residual shunts, understanding its mid- and long-term efficacy and safety remains crucial. Objective: This study aims to assess the mid- and long-term safety and efficacy of TCC for patients with residual atrial or ventricular septal shunts following CHD correction. Methods: In this consecutive retrospective study, we enrolled 35 patients with residual shunt who underwent TCC or surgical repair of CHD between June 2011 to October 2022. TCC candidacy was determined based on… More >

Batyrkhan Omarov^1,2,*, Meirzhan Baikuvekov¹, Daniyar Sultan¹, Nurzhan Mukazhanov³, Madina Suleimenova², Maigul Zhekambayeva³

CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 341-359, 2024, DOI:10.32604/cmc.2024.052437 - 18 July 2024

Abstract This research introduces an innovative ensemble approach, combining Deep Residual Networks (ResNets) and Bidirectional Gated Recurrent Units (BiGRU), augmented with an Attention Mechanism, for the classification of heart arrhythmias. The escalating prevalence of cardiovascular diseases necessitates advanced diagnostic tools to enhance accuracy and efficiency. The model leverages the deep hierarchical feature extraction capabilities of ResNets, which are adept at identifying intricate patterns within electrocardiogram (ECG) data, while BiGRU layers capture the temporal dynamics essential for understanding the sequential nature of ECG signals. The integration of an Attention Mechanism refines the model’s focus on critical segments… More >