Search

To define the relative importance of fetal diagnosis and comorbidities in severity of preoperative compromise, outcomes and hospitalization in neonatal coarctation of the aorta (CoA). Retrospective comparison of preoperative condition and postoperative course of neonates prenatally (PreDx n = 48) or postnatally diagnosed (PostDx n = 67) with CoA. Congenital and non-congenital comorbidities were adjusted for. Postnatal diagnosis was associated with preoperative mortality (n = 2), and severe acidosis (lactate > 5 mM or pH

Purpose Studies suggest that pediatric heart transplant (HT) waitlist mortality has declined. The impact of factors like refinements to the heart allocation system, patient selection, greater ABO incompatible (ABO-I) HT and VAD support are unknown. We examined the 20-year trend in waitlist mortality to identify factors associated with declining mortality and whether allocational inefficiencies persist. Methods All children Results Overall 11,374 patients met inclusion criteria (3,248 in Era 1; 5,378 in Era 2; 2,748 in Era 3). Waitlist mortality declined significantly across eras (21%, 17%, 13%, P Conclusion Pediatric HT waitlist mortality has declined significantly over the past 20 years. There is evidence to suggest that greater VAD use, revisions to organ allocation, refinements in patient selection and ABO-I transplant may all contribute. Organ allocation inefficiencies persist under the current allocation system suggesting opportunities for allocation improvement may still exist.

Purpose Pediatric ventricular assist device (VAD) therapy is a rapidly changing field where devices and applications are rapidly evolving. We sought to describe some of the most recent trends in pediatric VAD use and contemporary outcomes since UNOS began collecting VAD data on all listed patients regardless of whether they survived. Methods All children ≤21 years of age listed for isolated HT between Jan 2004 and 2019 and underwent VAD placement were identified using OPTN data. Descriptive statistics were used to characterize recent trends in VAD utilization. Waitlist survival in children with cardiomyopathy, CHD and single-ventricle heart disease were estimated using the Kaplan-Meier method. Results Overall, 2059 children met the study inclusion criteria of whom the median age was 11 (IQR 1, 17), median weight 38 (11,66) kg, 26% were black; 18.3 had congenital heart disease (CHD) including 5.1% with single-ventricle (SV) HD. Forty-nine percent were supported with a VAD at listing, 72% at transplant and 13% received a VAD but was not supported at listing or transplant. Overall, 64% received LVADs, 31% BIVADs, 2.5% RVADs 1.7% total artificial hearts (TAH). Implants of the Berlin Heart fell dipped sharply to 34 in 2015 after a peak of 63 but have rebounded since in the era of bivalirudin. As of 2018, the Heartware HVAD was the most commonly implanted VAD in children (N=61) followed by the Berlin Heart (N=48), CentriMag/PediMag (N=18) and Heartmate III (N=11). The fastest growing segment of VAD patients are single-ventricle patients (Figure). Conclusion The total number of pediatric VADs continues to grow at a brisk pace. The most recent era has seen growth of the Heartmate III and resurgence of the Berlin Heart EXCOR, after a brief decline in 2015. Single-ventricle and Heartmate III patients represent the fastest growing segment of the VAD population.

Purpose The match run is the automated mechanism by which UNOS prioritizes donor hearts to waitlist candidates for heart transplant (HT) based on medical urgency. We sought to determine how well match runs perform in sequencing patients according to their medical urgency after implementation of the 2016 pediatric heart allocation revisions. Methods OPTN data were used to identify all match runs between March 21, 2016 and June 9, 2020 for each pediatric donor heart offered through UNOS to US waitlist candidates. The rank-order of candidates on the match run was compared to the rank-order based on medical urgency alone defined as the probability of survival on the day of the match run using a risk prediction model developed and validated during the prior 6 years. Results Overall, 634 donors generated 2,524 unique match runs during the study period when a total of 2,608 candidates were listed for pediatric HT. The median age of donors was 5 years (Q1, Q3, 1, 13), median weight 21 (11, 54) kg with the most common cause of death natural causes (26%), non-motor vehicle accidents (MVA) (22%) and MVA (16%). The risk-prediction model for death or deterioration included 8 variables (age, weight, cardiac diagnosis and cardiac support). When the survival model was applied to the match run candidates within zone, 26% of candidates were ranked out of survival order (i.e. had a rank-reversal) (Table). Of these, 69% of rank-reversals involved candidates within the same UNOS status levels whereas 41% involved candidates spread across UNOS status levels. Conclusion There is evidence to suggest that the 2016 revision to the pediatric donor heart allocation system fails to sequence waitlisted candidates according to medical urgency, which affects a substantial fraction of match runs. Misclassification of patient risk by UNOS status level and within UNOS status levels each contribute rank-reversals. Rank-ordering patients based on a continuous survival probability model could address both problems.