Yamixa Delgado^1,*, Caliani Gaytan¹, Naydi Perez², Eric Miranda³, Bryan Colón Morales¹, Mónica Santos¹

Congenital Heart Disease, Vol.19, No.1, pp. 19-31, 2024, DOI:10.32604/chd.2024.046339

Abstract Background: Given the pervasive issues of obesity and diabetes both in Puerto Rico and the broader United States, there is a compelling need to investigate the intricate interplay among body mass index (BMI), pregestational, and gestational maternal diabetes, and their potential impact on the occurrence of congenital heart defects (CHD) during neonatal development. Methods: Using the comprehensive System of Vigilance and Surveillance of Congenital Defects in Puerto Rico, we conducted a focused analysis on neonates diagnosed with CHD between 2016 and 2020. Our assessment encompassed a range of variables, including maternal age, gestational age, BMI, pregestational diabetes, gestational diabetes, hypertension,… More >

Molly Clarke^1,*, Karin Hamann², Nancy Klein², Laura Olivieri³, Yue-Hin Loke²

Congenital Heart Disease, Vol.19, No.1, pp. 5-17, 2024, DOI:10.32604/chd.2024.046328

Abstract Background: Patients with congenital heart disease (CHD) will transition to lifelong adult congenital cardiac care. However, their structural heart disease is challenging to convey via two-dimensional drawings. This study utilized a tele-educational environment, with personalized three-dimensional (3D) modeling and health Details (3D + Details = “4D”), to improve actual and perceived knowledge, both important components of transition readiness in CHD patients. Methods: Participants aged ≥13 years with a history of CHD and cardiac magnetic resonance imaging (MRI) studies were eligible. Cardiac MRI datasets were then used to segment and create 3D heart models (using Mimics, Materialize Inc.). Participants first completed… More >

Cheryl Dickson^1,2,4, Danielle Osborn¹, David Baker^1,4, Judith Fethney³, David S. Celermajer^1,4, Rachael Cordina^1,4,*

Congenital Heart Disease, Vol.19, No.1, pp. 49-63, 2024, DOI:10.32604/chd.2023.044874

Abstract Background: Much has been written about the loss to follow-up in the transition between pediatric and adult Congenital Heart Disease (CHD) care centers. Much less is understood about the loss to follow-up (LTF) after a successful transition. This is critical too, as patients lost to specialised care are more likely to experience morbidity and premature mortality. Aims: To understand the prevalence and reasons for loss to follow-up (LTF) at a large Australian Adult Congenital Heart Disease (ACHD) centre. Methods: Patients with moderate or highly complex CHD and gaps in care of >3 years (defined as LTF) were identified from a… More >

Ziguang Song^1,2, Jiangbo Yu¹, Mengmeng Wang³, Weitao Shen⁴, Chengcheng Wang¹, Tianyi Lu¹, Gaojun Shan¹, Guo Dong¹, Yiru Wang¹, Jiyi Zhao^1,*

Congenital Heart Disease, Vol.18, No.6, pp. 693-701, 2023, DOI:10.32604/chd.2024.048081

Abstract CHDTEPDB (URL: ) is a manually integrated database for congenital heart disease (CHD) that stores the expression profiling data of CHD derived from published papers, aiming to provide rich resources for investigating a deeper correlation between human CHD and aberrant transcriptome expression. The development of human diseases involves important regulatory roles of RNAs, and expression profiling data can reflect the underlying etiology of inherited diseases. Hence, collecting and compiling expression profiling data is of critical significance for a comprehensive understanding of the mechanisms and functions that underpin genetic diseases. CHDTEPDB stores the expression profiles of over 200 sets of 7… More >

JIWEI SUN^1,2,#, LIANG XU^1,#, YESEN ZHANG², HAORAN LI¹, JIE FENG², XUEFENG LU², JUN DONG^1,*

BIOCELL, Vol.47, No.12, pp. 2721-2733, 2023, DOI:10.32604/biocell.2023.043869

Abstract Objective: This investigation aimed to unveil new prospective diagnosis-related biomarkers together with treatment targets against glioblastoma. Methods: The expression levels of long non-coding RNA (lncRNA) DPP10-AS1 were assessed using real-time quantitative polymerase chain reaction (RT-qPCR) within both the patient tissue specimens and glioblastoma cell lines. The relationship between lncRNA DPP10-AS1 expression in glioblastoma and patient prognosis was investigated. Cell Counting Kit-8 (CCK-8), transwell, and clonogenic experiments were utilized to assess tumor cells’ proliferation, invasiveness, and migratory potentials after lncRNA DPP10-AS1 expression was up or down-regulated. Using an online bioinformatics prediction tool, the intracellular localization of lncRNA DPP10-AS1 and its target… More >

Shuting Chang^1,2, Guanzhao Zhang^2,3, Nengjun Sun², Xinpeng Yuan⁴, Qingting Wang⁵, Lin Zhu⁶, Feiyue Zhang⁷, Yu Xiu⁴, Yang Dong⁸, Yonghong Chen⁹, Zhanpeng Zhao¹⁰, Xiao Liu⁴, Qiang Shao¹¹, Xiaofeng Xu¹², Anshun Wang¹³, Mengjiao Li¹⁴, Bo Li^2,*

Congenital Heart Disease, Vol.17, No.6, pp. 709-716, 2022, DOI:10.32604/chd.2022.018657

Abstract Background: This study aimed to illustrate the prevalence of CHD by screening children in extremely high-altitude areas (over 4000 m to even 5000 m above sea level) and explore an aid model for early diagnosis and treatment for the Tibetan population. Methods: A total of 2242 students from different schools in Ngamring County, Xigaze city, Tibet from September 2019 to September 2020 were selected for screening. The students were examined through the inquiry of their current medical history and family history, cardiac auscultation and a physical examination, in order to screen out the suspected cases of CHD, and then the… More >

Federica Caldaroni¹, Massimo Chessa², Alessandro Varrica¹, Alessandro Giamberti^1,*

Congenital Heart Disease, Vol.17, No.4, pp. 491-494, 2022, DOI:10.32604/chd.2022.019119

Abstract Multimodal imaging, including augmented or mixed reality, transforms the physicians’ interaction with clinical imaging, allowing more accurate data interpretation, better spatial resolution, and depth perception of the patient’s anatomy. We successfully overlay 3D holographic visualization to magnetic resonance imaging images for preoperative decision making of a complex case of cardiac tumour in a 7-year-old girl. More >

S. Prabu^1,*, B. Thiyaneswaran², M. Sujatha³, C. Nalini⁴, Sujatha Rajkumar⁵

Computer Systems Science and Engineering, Vol.43, No.2, pp. 737-749, 2022, DOI:10.32604/csse.2022.022739

Abstract Diagnosing the cardiovascular disease is one of the biggest medical difficulties in recent years. Coronary cardiovascular (CHD) is a kind of heart and blood vascular disease. Predicting this sort of cardiac illness leads to more precise decisions for cardiac disorders. Implementing Grid Search Optimization (GSO) machine training models is therefore a useful way to forecast the sickness as soon as possible. The state-of-the-art work is the tuning of the hyperparameter together with the selection of the feature by utilizing the model search to minimize the false-negative rate. Three models with a cross-validation approach do the required task. Feature Selection based… More >

Liying Gong^1,2,3, Hongkun Jiang⁴, Guangrong Qiu¹, Kailai Sun^1,*

Congenital Heart Disease, Vol.16, No.5, pp. 499-512, 2021, DOI:10.32604/CHD.2021.015831

Abstract Background: microRNAs are crucial for cardiovascular development and are associated with congenital heart disease (CHD). Recent studies have shown that microRNAs play a role in heart development and is closely related to CHD. The present study investigated the underlying mechanism of microRNA-208a (miR-208a) in “simple” CHD. Material and Methods: Reverse transcription-quantitative PCR (RT-qPCR) demonstrated miR-208a expression levels in children with CHD (n = 27) compared with normal controls (n = 29), in cardiomyocytes from embryo 10 (E10) to post-birth (P7) and organs in adult rats in healthy rats. Apoptosis of H9c2 cells after transfection with miR-208a detected by TUNEL assay.… More >

Fatima M. Ezzeddine¹, Tabitha Moe², Georges Ephrem³, William Aaron Kay³

Congenital Heart Disease, Vol.14, No.4, pp. 511-516, 2019, DOI:10.1111/chd.12771

Abstract Background: Delivery of care to the adult congenital heart disease (ACHD) popula‐ tion has been limited by a shortage in the ACHD physician resources. There is limited data regarding the adequacy of the ACHD physician resources in the United States and our population estimates are extrapolated from Canadian data. Therefore, we proposed to evaluate the adequacy of ACHD physician: patient ratios in the United States at both national and regional levels.
Methods: Data from the Adult Congenital Heart Association (ACHA) website along with metropolitan area and statewide population data from 2016 US Census Bureau estimates were analyzed. Physicians listed on… More >