COVID-19 international experience in paediatric patients with congenital heart disease.

OBJECTIVE: As COVID-19 continues to affect the global population, it is crucial to study the impact of the disease in vulnerable populations. This study of a diverse, international cohort aims to provide timely, experiential data on the course of disease in paediatric patients with congenital heart disease (CHD). METHODS: Data were collected by capitalising on two pre-existing CHD registries, the International Quality Improvement Collaborative for Congenital Heart Disease: Improving Care in Low- and Middle-Income Countries and the Congenital Cardiac Catheterization Project on Outcomes. 35 participating sites reported data for all patients under 18 years of age with diagnosed CHD and known COVID-19 illness during 2020 identified at their institution. Patients were classified as low, moderate or high risk for moderate or severe COVID-19 illness based on patient anatomy, physiology and genetic syndrome using current published guidelines. Association of risk factors with hospitalisation and intensive care unit (ICU) level care were assessed. RESULTS: The study included 339 COVID-19 cases in paediatric patients with CHD from 35 sites worldwide. Of these cases, 84 patients (25%) required hospitalisation, and 40 (12%) required ICU care. Age <1 year, recent cardiac intervention, anatomical complexity, clinical cardiac status and overall risk were all significantly associated with need for hospitalisation and ICU admission. A multivariable model for ICU admission including clinical cardiac status and recent cardiac intervention produced a c-statistic of 0.86. CONCLUSIONS: These observational data suggest risk factors for hospitalisation related to COVID-19 in paediatric CHD include age, lower functional cardiac status and recent cardiac interventions. There is a need for further data to identify factors relevant to the care of patients with CHD who contract COVID-19 illness.

Factors associated with preventive behaviors of COVID-19 among children with congenital heart disease: Application of protection motivation theory.

BACKGROUND: Congenital heart disease (CHD) is one of the underlying medical conditions that put children at increased risk for coronavirus. This study aimed to predict preventive behaviors of COVID-19 among children with CHD based on the protection motivation theory (PMT). MATERIALS AND METHODS: This cross-sectional study was conducted from March 2021 to April 2021, on 240 children 3-7 years with CHD whose data had been registered in Persian Registry of Cardiovascular Disease/CHD (PROVE/CHD) System in Isfahan, Iran. The research variables were measured using an online researcher-made questionnaire that was based on PMT constructs. The collected data were analyzed using statistical tests (e.g., Pearson correlation coefficient and linear regression analysis). RESULTS: From a total of 240 participants (mean age of 4.81 ± 1.50) in the present study, 122 (50.8%) were girls. The most common types of CHD among children participating in this study were related to atrial septal defect (ASD) (29.2%, n = 70) and ventricular septal defect (VSD) (26.7%, n = 64), respectively. Protective behaviors showed a significant correlation with all constructs of PMT. The PMT constructs explained 41.0% of the variances in protective behavior, in which the perceived reward (ß = 0.325) and perceived self-efficacy (ß = 0.192) was the most important, respectively. CONCLUSION: The results of this study showed well the effectiveness of PMT on the preventive behaviors of COVID-19 in children with CHD. This theory can be used to teach preventive behaviors of COVID-19 to children with CHD in education programs.

The Predictive Role of Fear of COVID-19 and Lockdown Fatigue in Coronavirus Anxiety among Patients with Congenital Heart Disease

Background: The prevalence of coronavirus and its health-related psychological consequences such as fear and anxiety has been one of the most important health concerns in the 21st century. Objective(s): This study aimed to investigate the predictive role of fear of COVID-19 and lockdown fatigue in coronavirus anxiety among patients with Congenital Heart Disease (CHD). Method(s): This descriptive-correlational study was conducted through path analysis. The statistical population included the patients with CHD referred to Shahid Rajaei Hospital and Tehran Heart Center, 105 of whom were selected using convenience sampling. The data were collected using the Coronavirus Anxiety Scale (CAS), Fear of COVID-19 Scale (FCV-19S), and Lockdown Fatigue Scale (LFS). The reliability and validity of these scales were approved in the previous studies. After all, the data were entered into the SPSS 21 software and were analyzed using Pearson's correlation test and step-wise regression analysis. Result(s): The study was conducted on 105 participants (6% males and 94% females) aged 20 to above 41 years. Considering marital status, 5% of the participants were single, 94% were married, and 1% were divorced. In addition, the participants' education levels ranged from diploma and lower degrees to postgraduate and higher degrees. According to the findings, coronavirus anxiety was positively correlated to the fear of COVID-19 (r = 0.509, P = 0.000) and lockdown fatigue (r = 0.466, P = 0.000) in patients with CHD. The results of step-wise regression analysis showed that based on the calculated coefficient of determination, 31% of the variability of coronavirus anxiety could be explained by the fear of COVID-19 and lockdown fatigue. Conclusion(s): The study findings indicated that the fear of COVID-19 and lockdown fatigue could predict coronavirus anxiety. Therefore, interventions are recommended to be designed based on the introduction of programs concerning coronavirus anxiety, which may help reduce the anxiety and fear experienced by these patients. They can also be used as prevention programs to help prevent the onset of coronavirus anxiety in patients with CHD. Copyright © 2022, Iranian Cardiovascular Research Journal. All rights reserved.

Describing characteristics of adults with and without congenital heart defects hospitalized with COVID-19.

BACKGROUND: We sought to describe patient characteristics in adults with and without congenital heart defects (CHDs) during hospitalization for COVID-19. METHODS: We analyzed data collected by Optum®, a nationally representative database of electronic medical records, for 369 adults with CHDs and 41,578 without CHDs hospitalized for COVID-19 between January 1, 2020, and December 10, 2020. We used Poisson regression to describe and compare epidemiologic characteristics, heart-related conditions, and severe outcomes between these two groups. RESULTS: The distributions of many epidemiologic characteristics were similar between the two groups, but patients with CHDs were significantly more likely to be current or former smokers compared to patients without CHDs (risk ratio [RR]: 1.5, 95% confidence interval [CI]: 1.2, 1.8). Patients with CHDs were also significantly more likely to have heart failure, stroke, acute arrhythmia, myocardial injury, acute pulmonary hypertension, venous thromboembolism, and obesity documented at the time of the COVID-19 hospitalization (RR range: 1.5-4.7) but not respiratory failure. Patients with CHDs (7 days) had a significantly longer median length of stay than those without CHDs (5 days; p < .001) and were significantly more likely to have an intensive care unit (ICU) admission (RR: 1.6, 95 CI: 1.2-1.9). CONCLUSIONS: Our description of patients among a large population improves our understanding of the clinical course of COVID-19 among adults with CHDs. Adults with CHD appear to be at greater risk for more severe CHD, including greater risk of ICU admission and longer length of hospital stays.

Insights into Cardiovascular Defects and Cardiac Epigenome in the Context of COVID-19.

Although few in number, studies on epigenome of the heart of COVID-19 patients show that epigenetic signatures such as DNA methylation are significantly altered, leading to changes in expression of several genes. It contributes to pathogenic cardiac phenotypes of COVID-19, e.g., low heart rate, myocardial edema, and myofibrillar disarray. DNA methylation studies reveal changes which likely contribute to cardiac disease through unknown mechanisms. The incidence of severe COVID-19 disease, including hospitalization, requiring respiratory support, morbidity, and mortality, is disproportionately higher in individuals with co-morbidities. This poses unprecedented strains on the global healthcare system. While their underlying conditions make patients more susceptible to severe COVID-19 disease, strained healthcare systems, lack of adequate support, or sedentary lifestyles from ongoing lockdowns have proved detrimental to their underlying health conditions, thus pushing them to severe risk of congenital heart disease (CHD) itself. Prophylactic vaccines against COVID-19 have ushered new hope for CHD. A common connection between COVID-19 and CHD is SARS-CoV-2's host receptor ACE2, because ACE2 regulates and protects organs, including the heart, in various ways. ACE2 is a common therapeutic target against cardiovascular disease and COVID-19 which damages organs. Hence, this review explores the above regarding CHDs, cardiovascular damage, and cardiac epigenetics, in COVID-19 patients.

Case Report: Right Heart Failure Mistaken for Obesity-A Fault of Telemedicine.

As a result of the COVID-19 pandemic, telemedicine has become an important branch of healthcare worldwide. Apart from their undeniable advantages, the virtual visits lack physical examination, which can lead to important diagnostic mistakes. We hereby present a case of a pediatric patient whose weight gain, initially attributed to a sedentary lifestyle was, in fact, due to sub-acute right heart failure in the context of a ruptured sinus of Valsalva aneurysm. The condition was not diagnosed until the patient presented at the emergency. The boy was successfully treated with two percutaneous interventions and returned to his previous stature.

Impact of COVID-19 Pandemic in a Pediatric and Congenital Cardiovascular Surgery Program in Brazil.

INTRODUCTION: The coronavirus disease 2019 (COVID-19) has negatively impacted healthcare services worldwide. We hypothesized that the pandemic would affect our case mix and mortality. Our objective was to study this impact. METHODS: We retrospectively studied all patients who underwent congenital heart surgeries from March 21st to August 21st in 2019 and 2020 using the institutional electronic database. We compared demographic data, preoperative and postoperative length of stay (LOS), risk stratification using Risk Adjustment for Congenital Heart Surgery (RACHS) classification and outcomes in both periods. RESULTS: We observed a 66.7% decrease in our surgical volume (285 × 95 patients). Patients operated in the pre-pandemic period were older (911.3 [174.8 - 5953.8] days-old) compared to the pandemic period (275 days-old; P<0.05). When the case mix was compared between periods, the percentage of neonatal surgery was increased in the pandemic era (8% × 21.1%; P<0.05), and the number of RACHS 1-2 surgeries decreased significantly (60.7 × 27.4%; P<0.05). Preoperative LOS was increased in the pandemic period (1.2 × 7 days; P=0.001). There was no significant increment in mortality (P=0.1). Two patients tested positive for COVID-19 in the postoperative period and both died. CONCLUSION: Our program observed a sudden decrease in surgical volume and a consequent increase in surgical complexity. There was a non-significant increment in mortality.

Risk stratification of adults with congenital heart disease during the COVID-19 pandemic: insights from a multinational survey among European experts.

OBJECTIVE: Adults with congenital heart disease (ACHD) may be at a higher risk of a fatal outcome in case of COVID-19. Current risk stratification among these patients relies on personal experience and extrapolation from patients with acquired heart disease. We aimed to provide an expert view on risk stratification while awaiting results from observational studies. METHODS: This study was an initiative of the EPOCH (European Collaboration for Prospective Outcome Research in Congenital Heart disease). Among nine European countries (Austria, Belgium, Denmark, France, Germany, Italy, the Netherlands, Spain and Switzerland), 24 experts from 23 tertiary ACHD centres participated in the survey. ACHD experts were asked to identify ACHD-specific COVID-19 risk factors from a list of potential outcome predictors and to estimate the risk of adverse COVID-19 outcomes in seven commonly seen patient scenarios. RESULTS: 82% of participants did not consider all ACHD patients at risk of COVID-19 related complications. There was a consensus on pulmonary arterial hypertension, Fontan physiology and cyanotic heart disease as risk factors for adverse outcomes. Among different ACHD scenarios, a patient with Eisenmenger syndrome was considered to be at the highest risk. There was a marked variability in risk estimation among the other potential outcome predictors and ACHD scenarios. CONCLUSIONS: Pulmonary arterial hypertension, Fontan palliation and cyanotic heart disease were widely considered as risk factors for poor outcome in COVID-19. However, there was a marked disparity in risk estimation for other clinical scenarios. We are in urgent need of outcome studies in ACHD suffering from COVID-19.

Hemodynamic performance limits of the neonatal Double-Lumen cannula.

Venovenous extracorporeal membrane oxygenation (VV-ECMO) is the preferred surgical intervention for patients suffering from severe cardiorespiratory failure, also encountered in SARS-Cov-2 management. The key component of VV-ECMO is the double-lumen cannula (DLC) that enables single-site access. The biofluid dynamics of this compact device is particularly challenging for neonatal patients due to high Reynolds numbers, tricuspid valve location and right-atrium hemodynamics. In this paper we present detailed findings of our comparative analysis of the right-atrial hemodynamics and salient design features of the 13Fr Avalon Elite DLC (as the clinically preferred neonatal cannula) with the alternate Origen DLC design, using experimentally validated computational fluid dynamics. Highly accurate 3D-reconstructions of both devices were obtained through an integrated optical coherence tomography and micro-CT imaging approach. Both cannula configurations displayed complex flow structures inside the atrium, superimposed over predominant recirculation regimes. We found that the Avalon DLC performed significantly better than the Origen alternative, by capturing 80% and 94% of venous blood from the inferior and superior vena cavae, respectively and infusing the oxygenated blood with an efficiency of more than 85%. The micro-scale geometric design features of the Avalon DLC that are associated with superior hemodynamics were investigated through 14 parametric cannula configurations. These simulations showed that the strategic placement of drainage holes, the smooth infusion blood stream diverter and efficient distribution of the venous blood capturing area between the vena cavae are associated with robust blood flow performance. Nevertheless, our parametric results indicate that there is still room for further device optimization beyond the performance measurements for both Avalon and Origen DLC in this study. In particular, the performance envelope of malpositioned cannula and off-design conditions require additional blood flow simulations for analysis.

Ambulatory cardiology telemedicine: a large academic pediatric center experience.

We performed a retrospective study of cardiology telemedicine visits at a large academic pediatric center between 2016 and 2019 (pre COVID-19). Telemedicine patient visits were matched to data from their previous in-person visits, to evaluate any significant differences in total charge, insurance compensation, patient payment, percent reimbursement and zero reimbursement. Miles were measured between patient's home and the address of previous visit. We found statistically significant differences in mean charges of telemedicine versus in-person visits (2019US$) (172.95 vs 218.27, p=0.0046), patient payment for telemedicine visits versus in-person visits (2019US$) (11.13 vs 62.83, p≤0.001), insurance reimbursement (2019US$) (65.18 vs 110.85, p≤0.001) and insurance reimbursement rate (43% vs 61%, p=0.0029). Rate of zero reimbursement was not different. Mean distance from cardiology clinic was 35 miles. No adverse outcomes were detected. This small retrospective study showed cost reduction and a decrease in travel time for families participating in telemedicine visits. Future work is needed to enhance compensation for telemedicine visits.

Clinical outcome of COVID-19 in patients with adult congenital heart disease.

AIMS: Patients with adult congenital heart disease (ACHD) are a potentially vulnerable patient cohort in case of COVID-19. Some cardiac defects may be associated with a poor COVID-19 outcome. Risk estimation in ACHD is currently based on expert opinion. The aim of this study was to collect clinical outcome data and to identify risk factors for a complicated course of COVID-19 in patients with ACHD. METHODS: Twenty-five ACHD centres in nine European countries participated in the study. Consecutive patients with ACHD diagnosed with COVID-19 presenting to one of the participating centres between 27 March and 6 June 2020 were included. A complicated disease course was defined as hospitalisation for COVID-19 requiring non-invasive or invasive ventilation and/or inotropic support, or a fatal outcome. RESULTS: Of 105 patients with a mean age of 38±13 years (58% women), 13 had a complicated disease course, of whom 5 died. In univariable analysis, age (OR 1.3, 95% CI 1.1 to 1.7, per 5 years), ≥2 comorbidities (OR 7.1, 95% CI 2.1 to 24.5), body mass index of >25 kg/m2 (OR 7.2, 95% CI 1.9 to 28.3) and cyanotic heart disease (OR 13.2, 95% CI 2.5 to 68.4) were associated with a complicated disease course. In a multivariable logistic regression model, cyanotic heart disease was the most important predictor (OR 60.0, 95% CI 7.6 to 474.0). CONCLUSIONS: Among patients with ACHD, general risk factors (age, obesity and multiple comorbidities) are associated with an increased risk of complicated COVID-19 course. Congenital cardiac defects at particularly high risk were cyanotic lesions, including unrepaired cyanotic defects or Eisenmenger syndrome.

Implementing Artificial Intelligence and Digital Health in Resource-Limited Settings? Top 10 Lessons We Learned in Congenital Heart Defects and Cardiology.

Artificial intelligence (AI) is one of the key drivers of digital health. Digital health and AI applications in medicine and biology are emerging worldwide, not only in resource-rich but also resource-limited regions. AI predates to the mid-20th century, but the current wave of AI builds in part on machine learning (ML), big data, and algorithms that can learn from massive amounts of online user data from patients or healthy persons. There are lessons to be learned from AI applications in different medical specialties and across developed and resource-limited contexts. A case in point is congenital heart defects (CHDs) that continue to plague sub-Saharan Africa, which calls for innovative approaches to improve risk prediction and performance of the available diagnostics. Beyond CHDs, AI in cardiology is a promising context as well. The current suite of digital health applications in CHD and cardiology include complementary technologies such as neural networks, ML, natural language processing and deep learning, not to mention embedded digital sensors. Algorithms that build on these advances are beginning to complement traditional medical expertise while inviting us to redefine the concepts and definitions of expertise in molecular diagnostics and precision medicine. We examine and share here the lessons learned in current attempts to implement AI and digital health in CHD for precision risk prediction and diagnosis in resource-limited settings. These top 10 lessons on AI and digital health summarized in this expert review are relevant broadly beyond CHD in cardiology and medical innovations. As with AI itself that calls for systems approaches to data capture, analysis, and interpretation, both developed and developing countries can usefully learn from their respective experiences as digital health continues to evolve worldwide.

PERSONALITY TRAITS OF PATIENTS SUFFERING FROM PFO AND ASD AND INFLUENCE OF COVID-19 PANDEMIC TIME FOR PATIENTS SUFFERING FROM CONGENITAL HEART DEFECTS.

OBJECTIVE: Introduction: The work presents a research project carried out in John Paul II Hospital in Cracow in Clinical Department of Cardiac and Vascular Diseases with the Intensive Cardiac Supervision Subdivision, with participation of 100 (50 F, 50 M) patients with congenital heart defects. The purpose of the work is to resolve the issue of personality specifics, and thus the different characteristics of people who suffer from congenital heart defects. Therefore, the following questions should be answered: Is there a relationship between personality traits and the occurrence of a congenital heart defect? What personality traits are characteristic for patients with congenital heart defects? The aim: We aimed to assess personality traits of clients suffering from PFO and ASD. The article also talks about how coronavirus pandemic affects patients with congenital heart disease. PATIENTS AND METHODS: Materials and methods: The research was conducted by psychologist Adrianna Skoczek. We performed a psychological clinical assessment and conducted the psychological tests like Eysenck Personality Questionnaire-Revised Short Version [EPQ-R(S)] and Eysenck's Impulsivity Inventory [IVE] by Hans J. Eysenck and Sybil G. Eysenck, the State-Trait Anxiety Inventory [STAI] by C. D. Spielberger, R. L. Gorsuch, R. E. Lushene describing personality traits of patients. Patients (F=50, M=50), with ASD (n=70) and with PFO (n=30). RESULTS: Results: In people suffering from ASD, the level of declared empathy was statistically significantly higher than the levels of impulsiveness and tendency to risk-taking. In people suffering from PFO, a statistically significant difference was observed only between the level of psychoticism and other variables. The level of declared empathy was statistically significantly higher than the levels of impulsiveness and tendency to risk-taking, a statistically significant difference was found between the analyzed variables - anxiety as a trait and anxiety as a condition. CONCLUSION: Conclusions: The results of the study allowed us to isolate the specific personality traits of patients suffering from congenital heart defects.

Patient care protocols and personal safety measures for health care professionals in cardiac catheterization rooms during the COVID-19 outbreak in the National Institute of Cardiology.

The COVID-19 was first described in late 2019 that quickly became a pandemic affecting every health system as we know it. The high transmissibility among humans represents a well-known high burden of morbidity and mortality not only for cardiovascular patients but also for a higher risk between health care professionals that must deliver high-quality care to them in any scenario, and cardiac catheterization rooms are no exception. This creates a new dilemma, minimize exposure to patients and health care professionals to COVID-19 while maintaining high quality in cardiovascular therapeutics. In order to achieve this, several international recommendations on treatment algorithms modifications and in safety measures in the catheterization room have been published, always aiming to solve this dilemma in the best possible way. Hereby, we present a summary of the most recent treatment algorithms in the most important cardiovascular interventions (acute coronary syndromes, structural and congenital heart diseases) as well as specific safety measures with a step-by-step preparedness before and after any interventional procedure during COVID-19 outbreak. The objective of this document is to inform and to train health care professionals that works in cardiac catheterization rooms on the risks as well on the plan for containment, mitigation, and response to the global situation of COVID-19 infection in order to apply this in their own local work environments.