Congenital heart disease (CHD) is one of today\'s leading birth anomalies. Children with CHD are at risk for adaptive functioning challenges. Sleep difficulties are also common in children with CHD. Indeed, sleep-disordered breathing, a common type of sleep dysfunction, is associated with increased mortality for infants with CHD. The present study examined the associations between adaptive functioning and sleep quality (i.e., duration and disruptions) in children with CHD (n = 23) compared to healthy children (n = 38). Results demonstrated associations between mean hours slept and overall adaptive functioning in the CHD group r(21) = .57, p = .005 but not in the healthy group. The CHD group demonstrated lower levels of adaptive functioning in the Conceptual, t(59) = 2.12, p = .039, Cohen\'s d = 0.53 and Practical, t(59) = 2.22, p = .030, Cohen\'s d = 0.55 domains, and overall adaptive functioning (i.e., General Adaptive Composite) nearing statistical significance in comparison to the healthy group, t(59) = 2.00, p = .051, Cohen\'s d = 0.51. The CHD group also demonstrated greater time awake at night, t(56) = 2.19, p = .033, Cohen\'s d = 0.58 and a greater instance of parent-caregiver reported snoring, χ2 (1, N = 60) = 5.25, p = .022, V = .296 than the healthy group. Further exploration of the association between adaptive functioning and sleep quality in those with CHD is required to inform clinical practice guidelines.

UNASSIGNED: No data currently exist on the diversity of editorial board members (EBMs) of pediatric cardiology journals.
UNASSIGNED: The objective was to investigate the editorial boards of 5 pediatric cardiology journals to assess the composition of these boards in terms of the geographical, gender, and economic representation of their members.
UNASSIGNED: Information on EBMs was collected directly from 5 journal websites accessed in February 2022. The following data were collected: country of practice (including World Bank geographical and income classification), institution of practice, role on editorial board, and whether an individual held a role on 1 or more of the boards included.
UNASSIGNED: A total of 455 EBMs were identified. A total of 369 (81%) were male. All editors-in-chief were male, and 4 were from the United States. EBMs practicing in North America accounted for 278 individuals (61%) of the editorial boards reviewed. The next majority of EBMs are practicing within Europe and Central Asia (23%, n = 103), East Asia and Pacific (7%, n = 31), Middle East and North Africa (4%, n = 18), and Latin America and Caribbean (4%, n = 16). Less than 2% (n = 9) practice in Sub-Saharan Africa and South Asia. Over 90% (n = 415) practice in high-income countries. There was no representation from low-income countries.
UNASSIGNED: Women and pediatric cardiologists practicing in countries outside of Europe and North America were underrepresented on the editorial boards of the journals studied. Diversifying composition of editorial boards may provide greater representation of underserved areas and encourage broader avenues of investigation and research.

暂无摘要。

UNASSIGNED: Atherosclerotic disease is an important cause of morbidity among adults with congenital heart disease (CHD). Prevalence of dyslipidemia in this group is poorly described.
UNASSIGNED: This study aimed to describe the prevalence of dyslipidemia among adults with CHD.
UNASSIGNED: A prospective, outpatient screening study was conducted among adults aged ≥18 years at 4 New England ambulatory congenital cardiology centers. Participants were surveyed regarding cardiovascular risk factors. Nonfasting fingerstick samples were obtained for analysis using a point-of-care lipid analyzer.
UNASSIGNED: Lipid screening was completed on 186 participants (median age 30 [range 18-71] years, 50% female). Eighteen (10%) had simple CHD anatomy, and 63 (34%) had complex anatomy. Only 15% of 169 respondents reported history of high cholesterol. Eighty-five (46%) participants met National Cholesterol Education Program definition of dyslipidemia with 60 (32%), 62 (34%), and 37 (20%) having low high-density lipoprotein cholesterol (HDL-C <40 mg/dL), high non-HDL-C (≥130 mg/dL), and high total cholesterol (TC ≥200 mg/dL), respectively. TC was higher among participants with simple CHD than among those with moderate and complex lesions (mean 178.4 ± 48.7 vs 170.1 ± 35.0 vs 157.6 ± 34.5 mg/dL; P = 0.03). HDL-C was lower among participants with complex CHD than among those with simple and moderate lesions (mean 44.1 ± 13.5 vs 46.9 ± 12.5 vs 49.8 ± 15.3 mg/dL; P = 0.05).
UNASSIGNED: Dyslipidemia is highly prevalent among our cohort of adults with CHD, despite <15% reporting a prior diagnosis. Low HDL-C was more common in complex CHD, and high TC was more common in simple or moderate CHD. Lipid screening should be part of preventive health maintenance for all adults with CHD.

暂无摘要。

The current era of big data offers a wealth of new opportunities for clinicians to leverage artificial intelligence to optimize care for pediatric and adult patients with a congenital heart disease. At present, there is a significant underutilization of artificial intelligence in the clinical setting for the diagnosis, prognosis, and management of congenital heart disease patients. This document is a call to action and will describe the current state of artificial intelligence in congenital heart disease, review challenges, discuss opportunities, and focus on the top priorities of artificial intelligence-based deployment in congenital heart disease.

暂无摘要。

UNASSIGNED: With an increasing interest in using large claims databases in medical practice and research, it is a meaningful and essential step to efficiently identify patients with the disease of interest.
UNASSIGNED: This study aims to establish a machine learning (ML) approach to identify patients with congenital heart disease (CHD) in large claims databases.
UNASSIGNED: We harnessed data from the Quebec claims and hospitalization databases from 1983 to 2000. The study included 19,187 patients. Of them, 3,784 were labeled as true CHD patients using a clinician developed algorithm with manual audits considered as the gold standards. To establish an accurate ML-empowered automated CHD classification system, we evaluated ML methods including Gradient Boosting Decision Tree, Support Vector Machine, Decision tree, and compared them to regularized logistic regression. The Area Under the Precision Recall Curve was used as the evaluation metric. External validation was conducted with an updated data set to 2010 with different subjects.
UNASSIGNED: Among the ML methods we evaluated, Gradient Boosting Decision Tree led the performance in identifying true CHD patients with 99.3% Area Under the Precision Recall Curve, 98.0% for sensitivity, and 99.7% for specificity. External validation returned similar statistics on model performance.
UNASSIGNED: This study shows that a tedious and time-consuming clinical inspection for CHD patient identification can be replaced by an extremely efficient ML algorithm in large claims database. Our findings demonstrate that ML methods can be used to automate complicated algorithms to identify patients with complex diseases.

暂无摘要。

UNASSIGNED: The effect of atherosclerotic cardiovascular disease (ASCVD) on cardiovascular death in adults with congenital heart disease (CHD) is not well understood.
UNASSIGNED: The purpose of this study was to determine the prevalence and prognostic implications of ASCVD risk factors in adults with CHD. We hypothesized that ASCVD risk factors were associated with cardiovascular events defined as heart failure hospitalization, heart transplant, and cardiovascular death.
UNASSIGNED: This is a retrospective cohort study of adults with CHD at the Mayo Clinic (2003-2019). Patients with a history of coronary artery disease (CAD) were excluded. ASCVD risk factors were defined as hypertension, hyperlipidemia, diabetes, obesity, smoking, and family history of premature CAD.
UNASSIGNED: There were 5,025 patients without a prior history of CAD. The mean age was 35 (23-45) years, and 2,558 (51%) were males. Of 5,025 patients, 2,382 (47%) had ≥1 ASCVD risk factors at baseline, and 16% developed additional ASCVD risk factors within 5 years (new-onset ASCVD risk). ASCVD risk factors at baseline (hazard ratio 1.27, 95% confidence interval 1.06-1.38) and new-onset ASCVD risk factors during follow-up (hazard ratio 1.06, 95% confidence interval 1.02-1.11) were associated with cardiovascular events.
UNASSIGNED: ASCVD factors were associated with cardiovascular events in adults with CHD. Since interventions that modify ASCVD risk have been shown to decrease cardiovascular death in the general population, it is logical to expect that such interventions would also improve clinical outcomes in the CHD population.