Impact of Ventricular Dysfunction and Atrioventricular Valve Regurgitation on Pre-Fontan Attrition.

BACKGROUND: There is a significant incidence of pre-Fontan attrition-defined as failure to undergo Fontan completion-after superior cavopulmonary connection. This study investigated the impact of at least moderate ventricular dysfunction (VD) and atrioventricular valve regurgitation (AVVR) on pre-Fontan attrition. METHODS: This single-center retrospective cohort study included all infants who underwent Norwood palliation from 2008 to 2020 and subsequently underwent superior cavopulmonary connection. Pre-Fontan attrition was defined as death, listing for heart transplantation before Fontan completion, or unsuitability for Fontan completion. The study's secondary outcome was transplant-free survival. RESULTS: Pre-Fontan attrition occurred in 34 of 267 patients (12.7%). Isolated VD was not associated with attrition. However, patients with isolated AVVR had 5 times the odds of attrition (odds ratio, 5.4; 95% CI 1.8-16.2), and patients with both VD and AVVR had 20 times the odds of attrition (odds ratio, 20.1; 95% CI 7.7-52.8) compared with patients without VD or AVVR. Only patients with both VD and AVVR had significantly worse transplant-free survival compared with patients without VD or AVVR (hazard ratio, 7.7; 95% CI 2.8-21.6). CONCLUSIONS: The additive effect of VD and AVVR is a powerful contributor to pre-Fontan attrition. Future research investigating therapies that can mitigate the degree of AVVR may help improve Fontan completion rates and long-term outcomes.

Combined ventricular dysfunction and atrioventricular valve regurgitation after the Norwood procedure are associated with attrition prior to superior cavopulmonary connection.

Background: Infants with hypoplastic left heart syndrome (HLHS) or a variant are at risk of ventricular dysfunction (VD) and atrioventricular valve regurgitation (AVVR) prior to superior cavopulmonary connection (SCPC). Although the impact of these complications in isolation has been described, their effect in combination on attrition is poorly defined. Methods: A retrospective observational study of patients with HLHS or variants undergoing a Norwood procedure between 2008 and 2020 at a single center was performed. VD and AVVR were defined as moderate or severe when seen on 2 sequential echocardiograms outside the perioperative period. Attrition was defined as death, listing for heart transplant, or unsuitability for SCPC or transplant. Descriptive statistics and regression models were used for analysis. Results: A total of 397 patients were included, of whom 75% had HLHS and 57% had received a Blalock-Thomas-Taussig shunt. Isolated VD occurred in 9% of patients, AVVR occurred in 13%, and both occurred in 6%. Attrition prior to SCPC occurred in 19% of the overall cohort, in 52% of patients with combined VD and AVVR (odds ratio [OR], 5.2; 95% confidence interval [CI], 2.3-12.0; P < .01), 26% of those with VD (OR, 1.5; 95% CI, 0.7-3.3; P = .32), 25% of those with AVVR (OR, 1.5; 95% CI, 0.7-2.9; P = .27), and 15% in those with neither (OR, 0.3; 95% CI, 0.2-0.6; P < .01). Other factors associated with attrition included prematurity, total bypass time at Norwood, and extracorporeal membrane oxygenation after Norwood, whereas later year of Norwood was protective (P < .01 for all). Conclusions: The presence of combined VD and AVVR markedly increases the likelihood of attrition prior to SCPC, identifying a high-risk group.

Combining patient-specific, digital 3D models with tele-education for adolescents with CHD.

INTRODUCTION: Adolescents with CHD require transition to specialised adult-centred care. Previous studies have shown that adolescents' knowledge of their medical condition is correlated with transition readiness. Three-dimensional printed models of CHD have been used to educate medical trainees and patients, although no studies have focused on adolescents with CHD. This study investigates the feasibility of combining patient-specific, digital 3D heart models with tele-education interventions to improve the medical knowledge of adolescents with CHD. METHODS: Adolescent patients with CHD, aged between 13 and 18 years old, were enrolled and scheduled for a tele-education session. Patient-specific digital 3D heart models were created using images from clinically indicated cardiac magnetic resonance studies. The tele-education session was performed using commercially available, web-conferencing software (Zoom, Zoom Video Communications Inc.) and a customised software (Cardiac Review 3D, Indicated Inc.) incorporating an interactive display of the digital 3D heart model. Medical knowledge was assessed using pre- and post-session questionnaires that were scored by independent reviewers. RESULTS: Twenty-two adolescents completed the study. The average age of patients was 16 years old (standard deviation 1.5 years) and 56% of patients identified as female. Patients had a variety of cardiac defects, including tetralogy of Fallot, transposition of great arteries, and coarctation of aorta. Post-intervention, adolescents' medical knowledge of their cardiac defects and cardiac surgeries improved compared to pre-intervention (p < 0.01). CONCLUSIONS: Combining patient-specific, digital 3D heart models with tele-education sessions can improve adolescents' medical knowledge and may assist with transition to adult-centred care.

Designing a Process for Cardiology Patient Transfers: A Quality Improvement, Descriptive Study on Interprovider Communication and Resident Education.

BACKGROUND: Patient transitions create vulnerability for care teams. Failures in the handoff process result in communication errors and knowledge gaps, mainly when the handoff occurs between resident and expert-level subspecialty clinicians. The authors set out to develop a standardized handoff using resident comfort as a proxy for implementation. The primary measurable aim of this study was to increase the percentage of pediatric residents who self-reported comfort in assuming care of patients transitioned from the cardiac intensive care unit to the cardiology acute care unit. METHODS: Investigators surveyed residents at a 323-bed pediatric hospital on their handoff experiences. The study team performed a Failure Mode Effect Analysis and created a key driver diagram. Interventions included a transfer checklist and algorithm, a huddle between care teams, and education surrounding the transfer process. RESULTS: Residents completed a survey before (n = 74) or after (n = 23) intervention. The percentage of residents who reported feeling "always" or "very often" prepared to care for patients at the time of transfer increased from 15% to 83%. The percentage of residents who reported that they "always" or "very often" had concerns about floor appropriateness decreased from 23% to 4%. CONCLUSIONS: The authors designed a transfer process to improve communication, resident-level education, and psychological safety among team members to ensure safe, thorough handoffs between providers with different levels of training. Although we cannot definitively conclude that resident comfort improved due to a small "n" postintervention, we offer a description outlining process changes, barriers to implementation, and lessons learned.

Varying blood pressure in children: a diagnostic quandary interpreting the Fourth Report.

Fourth Report guidelines on pediatric blood pressure (BP) are not clear when defining hypertension in children as "an average systolic BP and/or diastolic BP ≥ 95th percentile for gender, age, and height on ≥ 3 occasions." We aimed to determine the prevalence of pediatric hypertension in a screening population based on two different guideline interpretations. Prevalence of hypertension among 2094 students at four Houston area schools was calculated based on the summation or sustained model definition from Fourth Report guidelines. Summation hypertension definition required the single average of the BPs recorded across three visits to be elevated. Sustained hypertension definition required BP at each of three visits to be elevated. Hypertension prevalence by the summation method was 7%, whereas sustained prevalence was only 3.3%. Nearly a quarter of students had varying BP and were not classifiable by the sustained method but most would be classified as normal or prehypertensive by the summation method. The prevalence of hypertension among adolescents doubled depending on the interpretation of Fourth Report guidelines. Although methods in research studies can be clearly examined on publication of results, it is unknown which interpretation method is being used in clinical practice.

Pediatric mortality in males versus females in the United States, 1999-2008.

OBJECTIVE: To evaluate whether differences between pediatric male and female mortality are due to differences in specific age ranges, specific disease categories, or differences in the risk of developing specific conditions versus the risk of dying once having developed the condition. METHODS: Using 1999-2008 mortality data for all deaths of individuals <20 years of age from the Centers for Disease Control and Prevention's WONDER database, we calculated male-to-female relative risks (RRs), standardized to the 2000 US Census, by age and International Classification of Diseases, 10th revision (ICD-10), chapters. By using the Centers for Disease Control and Prevention's record of linked birth and infant death records between 1999 and 2007, we also calculated male-to-female RRs stratified by gestational age; and by using Surveillance, Epidemiology, and End Results cancer registries for 1999-2008, we calculated incidence and mortality RRs for the 7 leading types of cancer. RESULTS: Males experience higher mortality rates in all age groups from birth to age 20 years (RR: 1.44; 95% confidence interval [CI]: 1.44-1.45) and among infant deaths in nearly all weekly gestational age strata (RR: 1.12; 95% CI: 1.11-1.12). Stratified by ICD-10 major disease categories, males experience higher mortality rates in 17 of 19 categories. For the 7 types of pediatric cancers, the overall pattern was similarly greater male incidence (RR: 1.13; 95% CI: 1.12-1.14), fatality rate (RR: 1.10; 95% CI: 1.07-1.13), and overall mortality (RR: 1.21; 1.18-1.25). CONCLUSIONS: Under 20 years of age, males die more than females from a wide array of underlying conditions. The potential genetic and hormonal mechanisms for the mortality difference between males and females warrant investigation.