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E-Health Exercise Intervention for Pediatric Patients with Congenital Heart Disease: A Randomized Controlled Trial.

J Pediatr 2021 Jan 29. Epub 2021 Jan 29.

Institute of Preventive Pediatrics, Technical University of Munich, Munich, Germany; Department of Pediatric Cardiology and Congenital Heart Disease, German Heart Centre Munich, Technical University of Munich, Munich, Germany.

Objective: To improve health-related physical fitness (HRPF) (primary outcome) and health-related quality of life (HRQoL) with a web-based motor intervention program in pediatric patients with congenital heart disease (CHD).

Study Design: Overall, 70 patients (13.0 ± 2. Read More

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January 2021

Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings.

Comput Methods Programs Biomed 2021 Mar 17;200:105940. Epub 2021 Jan 17.

Jordan University of Science and Technology, Department of Biomedical Engineering, Irbid, Jordan. Electronic address:

Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that are having high mortality rates worldwide. The early diagnosis of VHD prevents the development of cardiac diseases and allows for optimum medication. Despite of the ability of current gold standards in identifying VHD, they still lack the required accuracy and thus, several cases go misdiagnosed. Read More

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The screening of congenital heart disease by cardiac auscultation and 12-lead electrocardiogram among Indonesian elementary school students.

Cardiol Young 2021 Feb 14;31(2):264-273. Epub 2020 Dec 14.

Department of Cardiology and Vascular Medicine, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada - Dr. Sardjito Hospital, Yogyakarta, Indonesia.

Background: Screening for congenital heart disease (CHD) in school students is well-established in high-income countries; however, data from low-to-middle-income countries including Indonesia are limited.

Aim: This study aimed to evaluate CHD screening methods by cardiac auscultation and 12-lead electrocardiogram to obtain the prevalence of CHD, confirmed by transthoracic echocardiography, among Indonesian school students.

Methods: We conducted a screening programme in elementary school students in the Province of Special Region of Yogyakarta, Indonesia. Read More

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February 2021

Efficacy of team-based collaborative care for distressed patients in secondary prevention of chronic coronary heart disease (TEACH): study protocol of a multicenter randomized controlled trial.

BMC Cardiovasc Disord 2020 12 10;20(1):520. Epub 2020 Dec 10.

Department of Psychosomatic Medicine and Psychotherapy, University of Göttingen Medical Center, Von-Siebold-Str. 5, 37075, Göttingen, Germany.

Background: Coronary heart disease (CHD) is the leading cause of death and years of life lost worldwide. While effective treatments are available for both acute and chronic disease stages there are unmet needs for effective interventions to support patients in health behaviors required for secondary prevention. Psychosocial distress is a common comorbidity in patients with CHD and associated with substantially reduced health-related quality of life (HRQoL), poor health behavior, and low treatment adherence. Read More

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December 2020

Fully‑automated deep‑learning segmentation of pediatric cardiovascular magnetic resonance of patients with complex congenital heart diseases.

J Cardiovasc Magn Reson 2020 11 30;22(1):80. Epub 2020 Nov 30.

Center for Pervasive Communications and Computing, University of California, Irvine, Irvine, USA.

Background: For the growing patient population with congenital heart disease (CHD), improving clinical workflow, accuracy of diagnosis, and efficiency of analyses are considered unmet clinical needs. Cardiovascular magnetic resonance (CMR) imaging offers non-invasive and non-ionizing assessment of CHD patients. However, although CMR data facilitates reliable analysis of cardiac function and anatomy, clinical workflow mostly relies on manual analysis of CMR images, which is time consuming. Read More

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November 2020

Anatomic Concordance of Neonatologist-Performed Echocardiography as Part of Hemodynamics Consultation and Pediatric Cardiology.

J Am Soc Echocardiogr 2021 Mar 18;34(3):301-307. Epub 2020 Nov 18.

Department of Pediatrics, University of Iowa, Iowa City, Iowa; Department of Pediatrics, University of Toronto, Toronto, Ontario, Canada; Department of Internal Medicine, University of Iowa, Iowa City, Iowa. Electronic address:

Background: Targeted neonatal echocardiography (TnECHO) performed by neonatologists as part of a hemodynamics consultation is increasingly being used in neonatal intensive care units. To minimize delays in obtaining physiologic data, first echocardiograms may be obtained by the neonatal hemodynamics team and reviewed afterward by a pediatric cardiologist. This practice has not been systematically evaluated. Read More

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Exercise training improves microvascular function in patients with Chagas heart disease: Data from the PEACH study.

Microvasc Res 2021 03 17;134:104106. Epub 2020 Nov 17.

Evandro Chagas National Institute of Infectious Diseases, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil; Department of Research and Education, National Institute of Cardiology, Ministry of Health, Rio de Janeiro, RJ, Brazil.

Background: Chagas heart disease (CHD) impairs the systemic microvascular function. We investigated the effects of exercise training on cutaneous microvascular function among patients with CHD.

Methods: Patients from the PEACH study were randomly assigned to a supervised exercise training 3 times/week for 6 months (Trained; n = 10) or a control group (Untrained; n = 8). Read More

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Machine Learning Adds to Clinical and CAC Assessments in Predicting 10-Year CHD and CVD Deaths.

JACC Cardiovasc Imaging 2021 Mar 28;14(3):615-625. Epub 2020 Oct 28.

Department of Imaging (Division of Nuclear Medicine), Medicine, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA; David Geffen School of Medicine at UCLA, Los Angeles, California, USA.

Objectives: The aim of this study was to evaluate whether machine learning (ML) of noncontrast computed tomographic (CT) and clinical variables improves the prediction of atherosclerotic cardiovascular disease (ASCVD) and coronary heart disease (CHD) deaths compared with coronary artery calcium (CAC) Agatston scoring and clinical data.

Background: The CAC score provides a measure of the global burden of coronary atherosclerosis, and its long-term prognostic utility has been consistently shown to have incremental value over clinical risk assessment. However, current approaches fail to integrate all available CT and clinical variables for comprehensive risk assessment. Read More

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AI-based prediction for the risk of coronary heart disease among patients with type 2 diabetes mellitus.

Sci Rep 2020 09 2;10(1):14457. Epub 2020 Sep 2.

Department of Biomedical Informatics, Department of Physiology and Pathophysiology, Center for Noncoding RNA Medicine, MOE Key Lab of Cardiovascular Sciences, School of Basic Medical Sciences, Peking University, 38 Xueyuan Rd, Beijing, 100191, China.

Type 2 diabetes mellitus (T2DM) is one common chronic disease caused by insulin secretion disorder that often leads to severe outcomes and even death due to complications, among which coronary heart disease (CHD) represents the most common and severe one. Given a huge number of T2DM patients, it is thus increasingly important to identify the ones with high risks of CHD complication but the quantitative method is still not available. Here, we first curated a dataset of 1,273 T2DM patients including 304 and 969 ones with or without CHD, respectively. Read More

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September 2020

Managing the Adult Patient with Congenital Heart Disease.

Anesthesiol Clin 2020 Sep 16;38(3):643-662. Epub 2020 Jul 16.

Department of Anesthesiology, University of Minnesota, B515 Mayo, 420 Delaware Street Southeast, Minneapolis, MN 55455, USA.

The focus of this article is noncardiac surgery in the adult with congenital heart disease (CHD). The purpose is to provide the general and pediatric anesthesiologist with a basic overview of the most common congenital cardiac lesions, their long-term sequelae, and expected perioperative concerns during noncardiac surgery. Because of the very heterogeneous nature of CHD, it is difficult to make a single article a comprehensive guide for every lesion and its associated perioperative concerns. Read More

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September 2020

Research on a Cognitive Distraction Recognition Model for Intelligent Driving Systems Based on Real Vehicle Experiments.

Sensors (Basel) 2020 Aug 7;20(16). Epub 2020 Aug 7.

School of Automobile, Chang'an University, Xi'an 710064, China.

The accurate and prompt recognition of a driver's cognitive distraction state is of great significance to intelligent driving systems (IDSs) and human-autonomous collaboration systems (HACSs). Once the driver's distraction status has been accurately identified, the IDS or HACS can actively intervene or take control of the vehicle, thereby avoiding the safety hazards caused by distracted driving. However, few studies have considered the time-frequency characteristics of the driving behavior and vehicle status during distracted driving for the establishment of a recognition model. Read More

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Prevalence of breastfeeding and its obstacles in patients with CHD in southern Brazil.

Cardiol Young 2020 Oct 24;30(10):1417-1421. Epub 2020 Jul 24.

Federal University of Health Sciences of Porto Alegre, Porto Alegre, RS, Brazil.

Introduction: Breast milk is nutritionally adequate and is related to the reduction of various health problems in childhood. Its offer is widely recommended in health guidelines.

Objective: To estimate the prevalence and obstacles to breastfeeding in patients with CHD in southern Brazil. Read More

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October 2020

Measurement of the coracohumeral distance on magnetic resonance imaging in a large patient cohort.

J Shoulder Elbow Surg 2021 Feb 17;30(2):408-412. Epub 2020 Jun 17.

Department of Orthopaedic Surgery, Brown University, Warren Alpert School of Medicine, Providence, RI, USA.

Background: Coracoid impingement syndrome is an increasingly recognized etiology of anterior shoulder pain. Numerus studies have documented the coracohumeral distance (CHD) as a primary or secondary measurement in symptomatic individuals, but there lacks an evaluation of CHD in a large cohort of asymptomatic individuals. The purpose of this study was to quantify a normative distribution of the CHD in a large cohort of healthy, asymptomatic subjects with no history of impingement or shoulder instability. Read More

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February 2021

ASPIRE-3-PREVENT: a cross-sectional survey of preventive care after a coronary event across the UK.

Open Heart 2020 04;7(1)

NHLI, Imperial College London, London, UK.

Objective: To quantify the implementation of the third Joint British Societies' Consensus Recommendations for the Prevention of Cardiovascular Disease (JBS3) after coronary event.

Methods: Using a cross-sectional survey design, patients were consecutively identified in 36 specialist and district general hospitals between 6 months and 2 years, after acute coronary syndrome or revascularisation procedure and invited to a research interview. Outcomes included JBS3 lifestyle, risk factor and therapeutic management goals. Read More

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Data-driven multivariate population subgrouping via lipoprotein phenotypes versus apolipoprotein B in the risk assessment of coronary heart disease.

Atherosclerosis 2020 02 13;294:10-15. Epub 2019 Dec 13.

Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland; NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland. Electronic address:

Background And Aims: Population subgrouping has been suggested as means to improve coronary heart disease (CHD) risk assessment. We explored here how unsupervised data-driven metabolic subgrouping, based on comprehensive lipoprotein subclass data, would work in large-scale population cohorts.

Methods: We applied a self-organizing map (SOM) artificial intelligence methodology to define subgroups based on detailed lipoprotein profiles in a population-based cohort (n = 5789) and utilised the trained SOM in an independent cohort (n = 7607). Read More

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February 2020

Reconstruction error based deep neural networks for coronary heart disease risk prediction.

PLoS One 2019 5;14(12):e0225991. Epub 2019 Dec 5.

Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam.

Coronary heart disease (CHD) is one of the leading causes of death worldwide; if suffering from CHD and being in its end-stage, the most advanced treatments are required, such as heart surgery and heart transplant. Moreover, it is not easy to diagnose CHD at the earlier stage; hospitals diagnose it based on various types of medical tests. Thus, by predicting high-risk people who are to suffer from CHD, it is significant to reduce the risks of developing CHD. Read More

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A modeling and machine learning approach to ECG feature engineering for the detection of ischemia using pseudo-ECG.

PLoS One 2019 12;14(8):e0220294. Epub 2019 Aug 12.

Department of Mechanical Engineering, University College London, London, United Kingdom.

Early detection of coronary heart disease (CHD) has the potential to prevent the millions of deaths that this disease causes worldwide every year. However, there exist few automatic methods to detect CHD at an early stage. A challenge in the development of these methods is the absence of relevant datasets for their training and validation. Read More

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Denoising and artefact removal for transthoracic echocardiographic imaging in congenital heart disease: utility of diagnosis specific deep learning algorithms.

Int J Cardiovasc Imaging 2019 Dec 19;35(12):2189-2196. Epub 2019 Jul 19.

Department of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.

Deep learning (DL) algorithms are increasingly used in cardiac imaging. We aimed to investigate the utility of DL algorithms in de-noising transthoracic echocardiographic images and removing acoustic shadowing artefacts specifically in patients with congenital heart disease (CHD). In addition, the performance of DL algorithms trained on CHD samples was compared to models trained entirely on structurally normal hearts. Read More

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December 2019

Prenatal diagnosis of congenital heart defects: experience of the first Fetal Cardiology Unit in Mexico.

J Matern Fetal Neonatal Med 2021 May 6;34(10):1529-1534. Epub 2019 Aug 6.

Fetal Medicine Mexico, Fetal Surgery Unit, Children and Women's Specialty Hospital of Queretaro, Queretaro, Mexico.

Objective: The purpose of this article was to describe our experience with the prenatal diagnosis of CHD in patients referred to our Fetal Cardiology Unit.

Methods: Prospective cohort study of consecutive fetuses referred for advanced fetal echocardiography to our Fetal Cardiology Unit during a 3-year period (September 2015-September 2018).

Results: Totally 809 fetuses were evaluated, with 1263 fetal advanced echocardiographies performed. Read More

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A Driver's Physiology Sensor-Based Driving Risk Prediction Method for Lane-Changing Process Using Hidden Markov Model.

Sensors (Basel) 2019 Jun 13;19(12). Epub 2019 Jun 13.

School of Transportation, Southeast University, Nanjing 211189, China.

Lane changing is considered as one of the most dangerous driving behaviors because drivers have to deal with the traffic conflicts on both the current and target lanes. This study aimed to propose a method of predicting the driving risks during the lane-changing process using drivers' physiology measurement data and vehicle dynamic data. All the data used in the proposed model were obtained by portable sensors with the capability of recording data in the actual driving process. Read More

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Association of Sugary Beverage Consumption With Mortality Risk in US Adults: A Secondary Analysis of Data From the REGARDS Study.

JAMA Netw Open 2019 05 3;2(5):e193121. Epub 2019 May 3.

Department of Epidemiology, Emory University, Atlanta, Georgia.

Importance: Research has linked sugar-sweetened beverage (SSB) consumption to coronary heart disease (CHD) risk, but the role of nutritionally similar fruit juice and the association of these beverages with mortality risk is unknown.

Objective: To assess the association of SSBs and 100% fruit juices, alone and in combination (sugary beverages), with mortality.

Design, Setting, And Participants: This cohort study is a secondary analysis of data obtained from 30 183 participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study. Read More

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Home care experience and nursing needs of caregivers of children undergoing congenital heart disease operations: A qualitative descriptive study.

PLoS One 2019 14;14(3):e0213154. Epub 2019 Mar 14.

Children's Hospital of Soochow University, Suzhou, China.

Aims And Objectives: To explore the home care experiences of caregivers taking care of CHD children before and after cardiac surgery.

Background: Despite the prevalence of congenital heart disease (CHD) in childhood, little is known about the experiences and impacts on the children and their caregivers after CHD diagnosis and surgery. Such knowledge is needed for meaningful support. Read More

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December 2019

Endurance exercise training does not limit coronary atherosclerosis in familial hypercholesterolemic swine.

Physiol Rep 2019 02;7(4):e14008

Department of Biomedical Sciences, University of Missouri, Columbia, Missouri.

Human studies demonstrate that physical activity reduces both morbidity and mortality of coronary heart disease (CHD) including decreased progression and/or regression of CHD with life-style modification which includes exercise. However, evidence supporting an intrinsic, direct effect of exercise in attenuating the development of CHD is equivocal. One limitation has been the lack of a large animal model with clinically evident CHD disease. Read More

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February 2019

Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine Learning.

Genes (Basel) 2018 Dec 18;9(12). Epub 2018 Dec 18.

Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA.

An improved approach for predicting the risk for incident coronary heart disease (CHD) could lead to substantial improvements in cardiovascular health. Previously, we have shown that genetic and epigenetic loci could predict CHD status more sensitively than conventional risk factors. Herein, we examine whether similar machine learning approaches could be used to develop a similar panel for predicting incident CHD. Read More

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December 2018

Adult Congenital Heart Disease in Australia and New Zealand: A Call for Optimal Care.

Heart Lung Circ 2019 Apr 28;28(4):521-529. Epub 2018 Oct 28.

Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, University of Sydney, Sydney, NSW, Australia.

Background: Adult congenital heart disease (ACHD) is a relatively new subspecialty in the cardiology field. The prevalence of ACHD is estimated at ∼ 3,000 per million adult population. The ACHD patient group is estimated to grow at ∼ 5% per year and in the next decade it is forecast that 1 in 150 young adults will carry some form of ACHD diagnosis. Read More

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Physical Activity after Cardiac EventS (PACES) - a group education programme with subsequent text-message support designed to increase physical activity in individuals with diagnosed coronary heart disease: study protocol for a randomised controlled trial.

Trials 2018 Oct 4;19(1):537. Epub 2018 Oct 4.

Diabetes Research Centre, College of Medicine, Biological Sciences and Psychology, University of Leicester, Leicester, LE5 4PW, UK.

Background: Coronary heart disease (CHD) represents approximately 13% of deaths worldwide and is the leading cause of death in the UK with considerable associated health care costs. After a CHD event, timely cardiac rehabilitation optimises patient outcomes. However, a high percentage of these services do not meet necessary performance indicators such as course length and follow-up attendance. Read More

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October 2018

Contemporary ACHD training and the reality of the field in the United States.

Int J Cardiol 2019 Feb 1;277:85-89. Epub 2018 Sep 1.

Division of Cardiovascular Medicine, Department of Medicine, University of California, San Diego, CA 92037, United States of America.

Background: Care delivery for the growing population of adults living with congenital heart disease (CHD) has been met with challenges due to a shortage of physicians trained to care for this population. To meet this urgent need, restructuring and standardization of the training programs were implemented in 2015. The consequences of such a system on the graduating fellows have not been examined. Read More

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February 2019

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.

Magn Reson Med 2019 02 8;81(2):1143-1156. Epub 2018 Sep 8.

UCL Centre for Cardiovascular Imaging, University College London, London, United Kingdom.

Purpose: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts caused by data undersampling. In this study, we investigated the ability of CNNs to reconstruct highly accelerated radial real-time data in patients with congenital heart disease (CHD). Read More

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February 2019

Reaction times match IQ for major causes of mortality: Evidence from a population based prospective cohort study.

Intelligence 2018 Jul-Aug;69:134-145

Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, UK.

Introduction: The association of premorbid cognitive ability with all-cause mortality is now well established. However, since all-cause mortality is relatively uninformative about aetiology, evidence has been sought, and is beginning to accumulate, for associations with specific causes of mortality. Likewise, the underlying causal pathways may be illuminated by considering associations with different measures of cognitive ability. Read More

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Bedside ultrasonography screening for congenital renal anomalies in children with congenital heart diseases undergoing cardiac repair.

J Saudi Heart Assoc 2018 Apr 21;30(2):95-101. Epub 2017 Sep 21.

Section of Pediatric Cardiac ICU, King Abdulaziz Cardiac Center, King Abdulaziz Medical City, Ministry of National Guard-Health Affairs, Riyadh, Saudi ArabiaaSaudi Arabia.

Introduction: Ultrasound (US) assessment of renal anomalies in children requiring pediatric cardiac surgery is not a standard practice. This study is highlighting the role of bedside US performed by intensivist to detect occult renal anomalies associated with congenital heart disease (CHD).

Methods: A cross sectional study for 100 consecutive children with CHD admitted to Pediatric Cardiac Intensive Care Unit (PCICU) in 2015. Read More

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