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OBJECTIVE: We evaluated the setting of published studies conducted under the US Pediatric Exclusivity Provision, which provides economic incentives to pharmaceutical companies to conduct drug studies with children. METHODS: Published studies containing the main results of trials conducted in 1998-2007 under the Pediatric Exclusivity Provision were included. Data were extracted from each study and described, including the therapeutic area of drug studied, number of patients enrolled, number of sites, and location where the study was conducted, if reported. RESULTS: Overall, 174 trials were included (sample size: 8-27 065 patients); 9% did not report any information regarding the location or number of sites where the study was conducted. Of trials that did report such information, 65% were conducted in >/=1 country outside the United States, and 11% did not include any sites in the United States. Fifty-four countries were represented, and 38% of trials enrolled patients in >/=1 site located in a developing/transition country, including more than one-third of infectious disease, cardiovascular, and allergy/immunology trials. CONCLUSIONS: The majority of published pediatric trials conducted under the Pediatric Exclusivity Provision included sites outside the United States, and more than one-third of trials enrolled patients in developing/transition countries. [ABSTRACT FROM AUTHOR]

Neonates with congenital heart disease and ductal-dependent pulmonary blood flow (DD-PBF) require early intervention. Historically, this intervention was most often a surgical systemic-to-pulmonary shunt (SPS; eg, Blalock-Thomas-Taussig shunt). However, over the past two decades, an alternative to SPS has emerged in the form of transcatheter ductal artery stenting (DAS). While many reports have indicated safety and durability of the DAS approach, few studies compare outcomes between DAS and SPS. The reports that do exist are comprised primarily of small-cohort single-center reviews. Two multicenter retrospective studies suggest that DAS is associated with similar or superior survival compared with SPS. These studies offer the best evidence to-date, and yet both have important limitations. The authors describe herein the rationale and design of the COMPASS (COmparison of Methods for Pulmonary blood flow Augmentation: Shunt vs Stent [COMPASS]) Trial (NCT05268094, IDE G210212). The COMPASS Trial aims to randomize 236 neonates with DD-PBF to either DAS or SPS across approximately 27 pediatric centers in North America. The goal of this trial is to compare important clinical outcomes between DAS and SPS over the first year of life in a cohort of neonates balanced by randomization in order to assess whether one method of palliation demonstrates therapeutic superiority., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: The study of psychological well-being and related resilient outcomes is of increasing focus in cardiovascular research. Despite the critical importance of psychological well-being and related resilient outcomes in promoting optimal cardiac health, there have been very few psychological interventions directed towards children with heart disease. This paper describes the development and theoretical framework of the WE BEAT Wellbeing Education Program, a group-based psychoeducation and coping skills training intervention designed to improve psychological well-being and resilience in adolescents with paediatric heart disease., Methods: Program development was informed by patient and family needs and input gathered via large, international survey methods as well as qualitative investigation, a theoretical framework, and related resilience intervention research., Results: An overview of the WE BEAT intervention components and structure of the programme is provided., Conclusions: The WE BEAT Wellbeing Education Program was developed as one of the first resiliency-focused interventions in paediatric heart disease with an overall objective to foster positive psychological well-being and resilient outcomes through a health promotion and prevention lens in an accessible format while providing access to safe, peer-to-peer community building. Feasibility pilot results are forthcoming. Future directions include mobile app-based delivery and larger-scale efficacy and implementation trials.

Background: Mortality after congenital heart surgery is an important metric across benchmarking, quality, and reporting initiatives. All rely on estimates from prior years, and how well these reflect current outcomes is unclear., Methods: Index operations from The Society of Thoracic Surgeons Congenital Database (2014-2019) were included. Adjusted operative mortality in "past" 4-year and 1-year intervals vs the most recent year ("present") was evaluated using Bayesian hierarchical logistic regression with results presented as odds ratios and 95% credible intervals (CrI)., Results: Among 115,699 operations (106 hospitals), overall present observed mortality was 2.5%. Regression to the mean was evident, and individual hospital's present vs past adjusted mortality were only weakly correlated (-0.11 vs past 1-year data, 0.22 vs past 4-year data). A significant relationship was found between past and present mortality only for the group of hospitals in the highest mortality quartile, most prominent for past 4-year data (adjusted odds ratio vs lowest mortality quartile, 2.04; 95% CrI, 1.44-2.80). The proportion of present hospital mortality variation explained by past mortality quartile was 52% (95% CrI, 20%-90%) using past 4-year data and only 27% (95% CrI, 92%-83%) using past 1-year data. Overall 66% of hospitals changed mortality quartiles from past to present (30% by ≥2 quartiles)., Conclusions: Past mortality relates to present primarily for groups of hospitals at the extremes, with past 4-year data more informative than past 1-year data. For individual hospitals, past may differ from present, regression to the mean is common, and many change quartiles. Past mortality should be used thoughtfully and not as the sole factor informing present decision making., (Copyright © 2024 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Competing Interests: Declaration of Conflicting InterestsThe author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Background: The National Pediatric Cardiology Quality Improvement Collaborative (NPC-QIC) lacks a rigorous enrollment audit process, unlike other collaborative networks. Most centers require individual families to consent to participate. It is unknown whether there is variation across centers or biases in enrollment., Methods: We used the Pediatric Cardiac Critical Care Consortium (PC 4 ) registry to assess enrollment rates in NPC-QIC for those centers participating in both registries using indirect identifiers (date of birth, date of admission, gender, and center) to match patient records. All infants born 1/1/2018-12/31/2020 and admitted 30 days of life were eligible. In PC 4 , all infants with a fundamental diagnosis of hypoplastic left heart or variant or who underwent a surgical or hybrid Norwood or variant were eligible. Standard descriptive statistics were used to describe the cohort and center match rates were plotted on a funnel chart., Results: Of 898 eligible NPC-QIC patients, 841 were linked to 1,114 eligible PC 4 patients (match rate 75.5%) in 32 centers. Match rates were lower in patients of Hispanic/Latino ethnicity (66.1%, p = 0.005), and those with any specified chromosomal abnormality (57.4%, p = 0.002), noncardiac abnormality (67.8%, p = 0.005), or any specified syndrome (66.5%, p = 0.001). Match rates were lower for patients who transferred to another hospital or died prior to discharge. Match rates varied from 0 to 100% across centers., Conclusions: It is feasible to match patients between the NPC-QIC and PC 4 registries. Variation in match rates suggests opportunities for improvement in NPC-QIC patient enrollment.

Care and outcomes for the more than 40,000 patients undergoing pediatric and congenital heart surgery in the United States annually are known to vary widely. While consensus recommendations have been published across numerous fields as one mechanism to promote a high level of care delivery across centers, it has been more than two decades since the last pediatric heart surgery recommendations were published in the United States. More recent guidance is lacking, and collaborative efforts involving the many disciplines engaged in caring for these children have not been undertaken to date. The present initiative brings together professional societies spanning numerous care domains and congenital cardiac surgeons, pediatric cardiologists, nursing, and other healthcare professionals from diverse programs around the country to develop consensus recommendations for United States centers. The focus of this initial work is on pediatric heart surgery, and it is recommended that future efforts focus in detail on the adult congenital population. We describe the background, rationale, and methodology related to this collaborative effort, and recommendations put forth for Essential Care Centers (essential services necessary for any program), and Comprehensive Care Centers (services to optimize comprehensive and high-complexity care), encompassing structure, process, and outcome metrics across 14 domains., (Copyright © 2023 [Author/Employing Institution]. Published by Elsevier Inc. All rights reserved.)

Background: Studies examining the volume-outcome relationship in congenital heart surgery (CHS) are more than a decade old. Since then, mortality has declined, and case-mix adjustment has evolved. We determined the current relationship between hospital CHS volume and outcomes., Methods: Patients aged ≤18 years undergoing index operations in The Society of Thoracic Surgeons-Congenital Heart Surgery Database (2017-2020) were included. Associations between annual hospital volume and case-mix-adjusted operative mortality, major complications, failure to rescue (FTR), and postoperative length of stay (PLOS) were assessed using Bayesian hierarchical models, overall, by The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) category, and for the Norwood procedure., Results: Across 101 centers (76,714 index operations), median annual volume was 144 operations/y. Operative mortality was 2.7%. Lower-volume hospitals had higher mortality, with an apparent transition zone at ∼190 operations/y (95% credible interval [CrI], 115-450 operations/y), below which a sustained uptick in the estimated odds of death occurred. Odds of death compared with a 450 operations/y reference were 50 operations/y (odds ratio [OR], 1.84; 95% CrI, 1.41-2.37), 100 operations/y (OR, 1.37; 95% CrI, 1.08-1.71), 200 operations/y (OR, 0.92; 95% CrI, 0.1-1.18), 300 operations/y (OR, 0.89; 95% CrI, 0.76-1.04). The volume-outcome effect was more apparent for STAT 4 to 5 than STAT 1 to 3 operations. In the overall cohort, PLOS and complications were similar across hospital volumes, whereas FTR rates were higher at lower-volume hospitals. Lower-volume hospitals had worse outcomes after the Norwood procedure, most notably mortality and FTR., Conclusions: Hospital volume is associated with mortality and FTR after CHS. The relationship is strongest for high-risk operations. These data can inform ongoing initiatives to improve CHS care., (Copyright © 2023 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Objective: The optimal timing for neonatal cardiac surgery is a potentially modifiable factor that may affect outcomes. We studied the relationship between age at surgery (AAS) and outcomes across multiple hospitals, focusing on neonatal operations where timing appears is not emergency., Methods: We studied neonates ≥37 weeks' gestation and ≥2.5 kg admitted to a treating hospital on or before day of life 2 undergoing selected index cardiac operations. The impact of AAS on outcomes was evaluated across the entire cohort and a standard risk subgroup (ie, free of preoperative mechanical ventilation, mechanical circulatory support, or other organ failure). Outcomes included mortality, major morbidity (ie, cardiac arrest, mechanical circulatory support, unplanned cardiac reintervention, or neurologic complication), and postoperative cardiac intensive care unit and hospital length of stay. Post hoc analyses focused on operations undertaken between day of life 2 and 7., Results: We studied 2536 neonates from 47 hospitals. AAS from day of life 2 through 7 was not associated with risk adjusted mortality or major morbidity among the entire cohort and the standard risk subgroup. Older AAS, although associated with modest increases in postoperative cardiac intensive care unit and hospital length of stay in the entire cohort, was not associated with hospital length of stay in the standard risk subgroup., Conclusions: Among select nonemergency neonatal cardiac operations, AAS between day of life 2 and 7 was not found to be associated with risk adjusted mortality or major morbidity. Although delays in surgical timing may modestly increase preoperative resource use, studies of AAS and outcomes not evident at the time of discharge are needed., (Copyright © 2022 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

Background: Studies have shown that diverse care teams optimize patient outcomes. Describing the current representation of women and minorities has been a critical step in improving diversity across several fields., Objectives: To address the lack of data specific to pediatric cardiology, the authors conducted a national survey., Methods: U.S. academic pediatric cardiology programs with fellowship training programs were surveyed. Division directors were invited (July 2021 to September 2021) to complete an e-survey of program composition. Underrepresented minorities in medicine (URMM) were characterized using standard definitions. Descriptive analyses at the hospital, faculty, and fellow level were performed., Results: Altogether, 52 of 61 programs (85%) completed the survey, representing 1,570 total faculty and 438 fellows, with a wide range in program size (7-109 faculty, 1-32 fellows). Although women comprise approximately 60% of faculty in pediatrics overall, they made up 55% of fellows and 45% of faculty in pediatric cardiology. Representation of women in leadership roles was notably less, including 39% of clinical subspecialty directors, 25% of endowed chairs, and 16% of division directors. URMM comprise approximately 35% of the U.S. population; however, they made up only 14% of pediatric cardiology fellows and 10% of faculty, with very few in leadership roles., Conclusions: These national data suggest a "leaky pipeline" for women in pediatric cardiology and very limited presence of URRM overall. Our findings can inform efforts to elucidate underlying mechanisms for persistent disparity and reduce barriers to improving diversity in the field., Competing Interests: Funding Support and Author Disclosures This work was supported by University of Michigan ADVANCE program. The authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2023 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: The Society of Thoracic Surgeons (STS) Congenital Heart Surgery Database was queried to document variation of patient characteristics, procedure types, and programmatic case-mix., Methods: All index cardiac operations in patients less than 18 years of age in the STS Congenital Heart Surgery Database (July 2016 to June 2020) were eligible for inclusion except patients weighing ≤2.5 kg undergoing isolated patent ductus arteriosus closure. At the hospital level, we describe variations in patient and procedural characteristics known from previous analyses to be associated with outcomes. We also report variations across hospitals of programmatic case-mix., Results: Data were analyzed from 117 sites (90 322 total operations, 87 296 total index cardiac operations eligible for STAT [STS-European Association for Cardio-Thoracic Surgery] 2020 Mortality Score). The median annual total index cardiac operations eligible for STAT 2020 Mortality Score per hospital was 157 (interquartile range [IQR], 94-276). Wide variability was documented in total annual index cardiac operations eligible for STAT 2020 Mortality Score per hospital (ratio 90th/10th percentile = 9.01), operations in neonates weighing <2.5 kg (ratio 90th/10th percentile = 4.09), operations in patients with noncardiac anatomic abnormalities (ratio 90th/10th percentile = 3.46), and operations in patients with preoperative mechanical ventilation (ratio 90th/10th percentile = 3.97). At the hospital level, the median percentage of all index cardiac operations in STAT 2020 Mortality Category 5 was 3.7% (IQR, 1.7%-4.9%), the median percentage of all index cardiac operations in STAT 2020 Mortality Category 4 or 5 was 24.4% (IQR, 19.0%-28.4%), the median hospital-specific mean STAT Mortality Category was 2.39 (IQR, 2.20-2.47), and the median hospital-specific mean STAT Mortality Score was 0.86 (IQR, 0.73-0.91)., Conclusions: Substantial variation of patient characteristics, procedure types, and case-mix exists across pediatric and congenital cardiac surgical programs. Knowledge about programmatic case-mix augments data about indirectly standardized programmatic observed-to-expected (O/E) mortality. Indirectly standardized O/E ratios do not provide a complete description of a given pediatric and congenital cardiac surgical program. The indirectly standardized programmatic O/E ratios associated with a given program apply only to its specific case-mix of patients and may represent a quite different case-mix than that of another program., (Copyright © 2023 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Hospitals are increasingly likely to implement clinical informatics tools to improve quality of care, necessitating rigorous approaches to evaluate effectiveness. We leveraged a multi-institutional data repository and applied causal inference methods to assess implementation of a commercial data visualization software in our pediatric cardiac intensive care unit., Methods: Natural experiment in the University of Michigan (UM) Cardiac Intensive Care Unit pre and postimplementation of data visualization software analyzed within the Pediatric Cardiac Critical Care Consortium clinical registry; we identified N=21 control hospitals that contributed contemporaneous registry data during the study period. We used the platform during multiple daily rounds to visualize clinical data trends. We evaluated outcomes-case-mix adjusted postoperative mortality, cardiac arrest and unplanned readmission rates, and postoperative length of stay-most likely impacted by this change. There were no quality improvement initiatives focused specifically on these outcomes nor any organizational changes at UM in either era. We performed a difference-in-differences analysis to compare changes in UM outcomes to those at control hospitals across the pre versus postimplementation eras., Results: We compared 1436 pre versus 779 postimplementation admissions at UM to 19 854 (pre) versus 14 160 (post) at controls. Admission characteristics were similar between eras. Postimplementation at UM we observed relative reductions in cardiac arrests among medical admissions, unplanned readmissions, and postoperative length of stay by -14%, -41%, and -18%, respectively. The difference-in-differences estimate for each outcome was statistically significant ( P <0.05), suggesting the difference in outcomes at UM pre versus postimplementation is statistically significantly different from control hospitals during the same time., Conclusions: Clinical registries provide opportunities to thoroughly evaluate implementation of new informatics tools at single institutions. Borrowing strength from multi-institutional data and drawing ideas from causal inference, our analysis solidified greater belief in the effectiveness of this software across our institution.

The National Heart, Lung, and Blood Institute convened a workshop in August 2021 to identify opportunities in pediatric and congenital cardiovascular research that would improve outcomes for individuals with congenital heart disease across the lifespan. A subsidiary goal was to provide feedback on and visions for the Pediatric Heart Network. This paper summarizes several key research opportunities identified in the areas of: data quality, access, and sharing; aligning cardiovascular research with patient priorities (eg, neurodevelopmental and psychological impacts); integrating research within clinical care and supporting implementation into practice; leveraging creative study designs; and proactively enriching diversity of investigators, participants, and perspectives throughout the research process., Competing Interests: Funding Support and Author Disclosures Dr Opotowsky is supported by the Heart Institute Research Core at Cincinnati Children's Hospital, and the Samuel and Molly Kaplan Fund for Adult Congenital Heart Disease. Dr Miyamoto is supported by the Children's Hospital Colorado Jack Cooper Millisor Chair in Pediatric Heart Disease. The views expressed in this manuscript are those of the authors and do not necessarily represent the views of the National Heart, Lung, and Blood Institute; the National Institutes of Health; the U.S. Department of Health and Human Services; or of other institutions. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (Copyright © 2022 American College of Cardiology Foundation. All rights reserved.)

Background: Cardiac intensivists frequently assess patient readiness to wean off mechanical ventilation with an extubation readiness trial despite it being no more effective than clinician judgement alone. We evaluated the utility of high-frequency physiologic data and machine learning for improving the prediction of extubation failure in children with cardiovascular disease., Methods: This was a retrospective analysis of clinical registry data and streamed physiologic extubation readiness trial data from one paediatric cardiac ICU (12/2016-3/2018). We analysed patients' final extubation readiness trial. Machine learning methods (classification and regression tree, Boosting, Random Forest) were performed using clinical/demographic data, physiologic data, and both datasets. Extubation failure was defined as reintubation within 48 hrs. Classifier performance was assessed on prediction accuracy and area under the receiver operating characteristic curve., Results: Of 178 episodes, 11.2% (N = 20) failed extubation. Using clinical/demographic data, our machine learning methods identified variables such as age, weight, height, and ventilation duration as being important in predicting extubation failure. Best classifier performance with this data was Boosting (prediction accuracy: 0.88; area under the receiver operating characteristic curve: 0.74). Using physiologic data, our machine learning methods found oxygen saturation extremes and descriptors of dynamic compliance, central venous pressure, and heart/respiratory rate to be of importance. The best classifier in this setting was Random Forest (prediction accuracy: 0.89; area under the receiver operating characteristic curve: 0.75). Combining both datasets produced classifiers highlighting the importance of physiologic variables in determining extubation failure, though predictive performance was not improved., Conclusion: Physiologic variables not routinely scrutinised during extubation readiness trials were identified as potential extubation failure predictors. Larger analyses are necessary to investigate whether these markers can improve clinical decision-making.

Importance: Preventing in-hospital cardiac arrest (IHCA) likely represents an effective strategy to improve outcomes for critically ill patients, but feasibility of IHCA prevention remains unclear., Objective: To determine whether a low-technology cardiac arrest prevention (CAP) practice bundle decreases IHCA rate., Design, Setting, and Participants: Pediatric cardiac intensive care unit (CICU) teams from the Pediatric Cardiac Critical Care Consortium (PC4) formed a collaborative learning network to implement the CAP bundle consistent with the Institute for Healthcare Improvement framework; 15 hospitals implemented the bundle voluntarily. Risk-adjusted IHCA incidence rates were analyzed across 2 time periods, 12 months (baseline) and 18 months after CAP implementation (intervention) using difference-in-differences (DID) regression to compare 15 CAP and 16 control PC4 hospitals that chose not to participate in CAP but had IHCA rates tracked in the PC4 registry. Patients deemed at high risk for IHCA, based on a priori evidence-based criteria and empirical hospital-specific criteria, were selected to receive the CAP bundle. Data were collected from July 2018 to December 2019, and data were analyzed from March to August 2020., Interventions: CAP bundle included 5 elements developed to promote increased situational awareness and communication among bedside clinicians to recognize and mitigate deterioration in high-risk patients., Main Outcomes and Measures: Risk-adjusted IHCA incidence rate across all CICU admissions (IHCA events divided by all admissions)., Results: The bundle was activated in 2664 of 10 510 CAP hospital admissions (25.3%); admission characteristics were similar across study periods. There was a 30% relative reduction in risk-adjusted IHCA incidence rate at CAP hospitals (intervention period: 2.6%; 95% CI, 2.2-2.9; baseline: 3.7%; 95% CI, 3.1-4.0), but no change at control hospitals (intervention period: 2.7%; 95% CI, 2.3-2.9; baseline: 2.7%; 95% CI, 2.2-3.0). DID analysis confirmed significantly reduced odds of IHCA among all admissions at CAP hospitals compared with control hospitals during the intervention period vs baseline (odds ratio, 0.72; 95% CI, 0.56-0.91; P = .01). DID odds ratios were 0.72 (95% CI, 0.53-0.98) for the surgical subgroup, 0.74 (95% CI, 0.48-1.14) for the medical subgroup, and 0.72 (95% CI, 0.50-1.03) for the high-risk admission subgroup at CAP hospitals after intervention. All-cause risk-adjusted mortality rate did not change after intervention., Conclusions and Relevance: Implementation of this CAP bundle led to significant IHCA reduction across multiple pediatric CICUs. Future studies may determine if this bundle can be effective in other critically ill populations.

Background: The Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSD) provides observed-to-expected (O/E) operative mortality ratios to more than 100 congenital heart centers in North America. We compared the current approach for estimating O/E ratios to approaches incorporating information on diagnosis as moderators of procedures, other unused risk factors, and additional variation in confidence interval construction to characterize center performance., Methods: Bayesian additive regression trees (BART) and lasso models linked operative mortality to diagnosis-procedure categories, procedure-specific risk factors, and syndromes/abnormalities. Bootstrapping accounted for variation in the STS-CHSD (STS bootstrap) and lasso CIs. We compared O/E estimates, interquartile range of CI widths, and concordance of center performance categorizations (worse-than-, as-, or better-than-expected mortality) of the new approaches to the STS-CHSD., Results: In 110 surgical centers including 98,822 surgical operative encounters, there were 2818 (2.85%) operative mortalities (center range, 0.37%-10%). Compared with the STS-CHSD, BART- and lasso-estimated O/E ratios varied more and had narrower confidence intervals (interquartile range of confidence interval: STS-CHSD = 1.11, STS bootstrap = 0.98; lasso = 0.80; BART = 0.96). Concordance of performance categorization with the STS-CHSD ranged from 84% (lasso) to 91% (STS Bootstrap); more than 70% of discordant centers improved categories. Discordant centers had smaller volumes, fewer operative mortalities, and treated more patients with congenital lung abnormalities., Conclusions: Relative to the STS-CHSD, up to 16% of hospitals changed performance categories, most improving performance. Given the significance of quality reports for congenital heart centers, inclusion of additional risk factors and unaddressed variation should be considered., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: The Society of Thoracic Surgeons (STS) Congenital Heart Surgery Database (CHSD) provides risk-adjusted operative mortality rates to approximately 120 North American congenital heart centers. Optimal case-mix adjustment methods for operative mortality risk prediction in this population remain unclear., Methods: A panel created diagnosis-procedure combinations of encounters in the CHSD. Models for operative mortality using the new diagnosis-procedure categories, procedure-specific risk factors, and syndromes or abnormalities included in the CHSD were estimated using Bayesian additive regression trees and least absolute shrinkage and selector operator (lasso) models. Performance of the new models was compared with the current STS CHSD risk model., Results: Of 98 825 operative encounters (69 063 training; 29 762 testing), 2818 (2.85%) STS-defined operative mortalities were observed. Differences in sensitivity, specificity, and true and false positive predicted values were negligible across models. Calibration for mortality predictions at the higher end of risk from the lasso and Bayesian additive regression trees models was better than predictions from the STS CHSD model, likely because of the new models' inclusion of diagnosis-palliative procedure variables affecting <1% of patients overall but accounting for 27% of mortalities. Model discrimination varied across models for high-risk procedures, hospital volume, and hospitals., Conclusions: Overall performance of the new models did not differ meaningfully from the STS CHSD risk model. Adding procedure-specific risk factors and allowing diagnosis to modify predicted risk for palliative operations may augment model performance for very high-risk surgical procedures. Given the importance of risk adjustment in estimating hospital quality, a comparative assessment of surgical program quality evaluations using the different models is warranted., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: In the SVR (Single Ventricle Reconstruction) Trial, 1-year survival in recipients of right ventricle to pulmonary artery shunts (RVPAS) was superior to that in those receiving modified Blalock-Taussig-Thomas shunts (MBTTS), but not in subsequent follow-up. Cost analysis is an expedient means of evaluating value and morbidity., Objectives: The purpose of this study was to evaluate differences in cumulative hospital costs between RVPAS and MBTTS., Methods: Clinical data from SVR and costs from Pediatric Health Information Systems database were combined. Cumulative hospital costs and cost-per-day-alive were compared serially at 1, 3, and 5 years between RVPAS and MBTTS. Potential associations between patient-level factors and cost were explored with multivariable models., Results: In total, 303 participants (55% of the SVR cohort) from 9 of 15 sites were studied (48% MBTTS). Observed total costs at 1 year were lower for MBTTS ($701,260 ± 442,081) than those for RVPAS ($804,062 ± 615,068), a difference that was not statistically significant ( P  = 0.10). Total costs were also not significantly different at 3 and 5 years ( P  = 0.21 and 0.32). Similarly, cost-per-day-alive did not differ significantly for either group at 1, 3, and 5 years (all P  > 0.05). In analyses of transplant-free survivors, total costs and cost-per-day-alive were higher for RVPAS at 1 year ( P  = 0.05 for both) but not at 3 and 5 years ( P  > 0.05 for all). In multivariable models, aortic atresia and prematurity were associated with increased cost-per-day-alive across follow-up ( P  < 0.05)., Conclusions: Total costs do not differ significantly between MBTTS and RVPAS. The magnitude of longitudinal costs underscores the importance of efforts to improve outcomes in this vulnerable population., Competing Interests: The SVR trial was funded by the Pediatric Heart Network/10.13039/100000050National Heart, Lung, and Blood Institute (HL068269, HL068270, HL068279, HL068281, HL068285, HL068288, HL068290, HL068292, and HL085057). Dr O'Byrne received support from 10.13039/100000050NHLBI (K23 HL130420-01). The project also received assistance from The Pediatric Heart Network’s Integrated CARDiac Data and Outcomes Collaborative (iCARD). The Pediatric Heart Network Ancillary Studies Committee and Single Ventricle Reconstruction Trial Committee reviewed the proposed research and manuscript for appropriateness but did not participate in the drafting of the paper. The views expressed are solely of the authors and do not reflect those of the funders and other supporting groups. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose.PERSPECTIVESCOMPETENCY IN MEDICAL KNOWLEDGE: Costs (which are reflective of morbidity) overall did not differ between participants randomized to a Blalock-Taussig-Thomas shunt and those to a RVPAS. However, analysis of survivors suggests that the cost of living with a RVPAS is higher, consistent with higher reintervention rates, while higher mortality rates increased costs of the Blalock-Taussig-Thomas shunt strategy. Differences in cost were derived from differences in the first year of life where the majority of total costs were accrued. Efforts to improve care should focus on improving outcomes in this period. TRANSLATIONAL OUTLOOK: Although it did not reveal significant differences in costs between shunt types, this analysis of the SVR trial leads to a better understanding of the economic and medical impact of operative palliation for single ventricle heart disease., (© 2022 The Authors.)

Background: For the more than 40,000 children in the United States undergoing congenital heart surgery annually, the relationship between hospital quality and costs remains unclear. Prior studies report conflicting results and clinical outcomes have continued to improve over time. We examined a large contemporary cohort, aiming to better inform ongoing initiatives seeking to optimize health care value in this population., Methods: Clinical information (The Society of Thoracic Surgeons Congenital Database) was merged with standardized cost data (Pediatric Health Information Systems) for children undergoing heart surgery from 2010 to 2015. In-hospital cost variability was analyzed using Bayesian hierarchical models adjusted for case-mix. Quality metrics examined included in-hospital mortality, postoperative complications, postoperative length of stay (PLOS), and a composite., Results: Overall, 32 hospitals (n = 45,315 patients) were included. Median adjusted cost per case varied across hospitals from $67,700 to $51,200 in the high vs low cost tertile (ratio 1.32; 95% credible interval, 1.29 to 1.35), and all quality metrics also varied across hospitals. Across cost tertiles, there were no significant differences in the quality metrics examined, with the exception of PLOS. The PLOS findings were driven by high-risk The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery categories 4 and 5 cases (adjusted median length of stay 16.8 vs 14.9 days in high vs low cost tertile [ratio 1.13, 1.05 to 1.24]), and intensive care unit PLOS., Conclusions: Contemporary congenital heart surgery costs vary across hospitals but were not associated with most quality metrics examined, highlighting that performance in one area does not necessarily convey to others. Cost variability was associated with PLOS, particularly related to intensive care unit PLOS and high-risk cases. Care processes influencing PLOS may provide targets for value-based initiatives in this population., (Copyright © 2022 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Objective: We hypothesized that infants with fetal growth restrictions have increased mortality and morbidity after congenital heart disease surgery., Methods: The study included patients in The Society of Thoracic Surgeons Congenital Heart Surgery Database (2010-2016) who underwent cardiac surgery at a corrected gestational age of ≤44 weeks. Patients were classified as severely (birth weight Z-score -4 to -2), moderately (Z-score -2 to -1), and mildly growth restricted (Z-score -1.0 to -0.5) and compared with a reference population (Z-score 0-0.5). Multivariable logistic regression clustering on center was used to evaluate the association of birth weight Z-score with operative mortality and postoperative complications and its interaction with gestational age was assessed., Results: In 25,244 patients, operative mortality was 8.6% and major complications occurred in 19.4%. Compared with the reference group, the adjusted odds ratio (AOR) of mortality was increased in infants with severe (AOR, 2.4; 95% confidence interval [CI], 2.0-3.0), moderate (AOR, 1.7; 95% CI, 1.4-2.0), and mild growth restriction (AOR, 1.4; 95% CI, 1.2-1.6). The AOR for major postoperative complications was increased for severe (AOR, 1.4; 95% CI, 1.2-1.7) and moderate growth restriction (AOR, 1.2; 95% CI, 1.1-1.4). There was significant interaction between birth weight Z-score and gestational age (P = .007)., Conclusions: Even birth weight Z-scores slightly below average are independent risk factors for mortality and morbidity in infants who undergo cardiac surgery. The strongest association between poor fetal growth and operative mortality exists in early-term infants. These novel findings might account for some of the previously unexplained variation in cardiac surgical outcomes., (Copyright © 2021 The American Association for Thoracic Surgery. Published by Elsevier Inc. All rights reserved.)

Background Congenital heart disease practices and outcomes vary significantly across centers, including postoperative chest tube (CT) management, which may impact postoperative length of stay (LOS). We used collaborative learning methods to determine whether centers could adapt and safely implement best practices for CT management, resulting in reduced postoperative CT duration and LOS. Methods and Results Nine pediatric heart centers partnered together through 2 learning networks. Patients undergoing 1 of 9 benchmark congenital heart operations were included. Baseline data were collected from June 2017 to June 2018, and intervention-phase data were collected from July 2018 to December 2019. Collaborative learning methods included review of best practices from a model center, regular data feedback, and quality improvement coaching. Center teams adapted CT removal practices (eg, timing, volume criteria) from the model center to their local resources, practices, and setting. Postoperative CT duration in hours and LOS in days were analyzed using statistical process control methodology. Overall, 2309 patients were included. Patient characteristics did not differ between the study and intervention phases. Statistical process control analysis showed an aggregate 15.6% decrease in geometric mean CT duration (72.6 hours at baseline to 61.3 hours during intervention) and a 9.8% reduction in geometric mean LOS (9.2 days at baseline to 8.3 days during intervention). Adverse events did not increase when comparing the baseline and intervention phases: CT replacement (1.8% versus 2.0%, P =0.56) and readmission for pleural effusion (0.4% versus 0.5%, P =0.29). Conclusions We successfully lowered postoperative CT duration and observed an associated reduction in LOS across 9 centers using collaborative learning methodology.

Background: Over 150 hospitals perform congenital heart surgery (CHS) in the United States. Many hospitals are close together, with a median patient travel distance of 38.5 miles. We began with a theoretical blank slate and used objective methodology guided by population density and volume thresholds to estimate the optimal number and locations of hospitals to provide CHS in the United States., Methods: Guided by published data, we estimated the number of CHS operations in the United States in to be 32,500 per year. We distributed patients geographically based on population density. Metropolitan Statistical Areas (population centers and surrounding areas with close economic/social ties) were used as potential hospital locations. Patients were assigned to the closest hospital location such that all hospitals had a CHS volume of ≥300 operations., Results: We estimated 57 hospitals could serve the contiguous United States. Median theoretical hospital volume after regionalization was 451 operations (interquartile range, 366-648). Median patient travel distance was 35.1 miles. Some patients (6396/31,895, 20%) traveled more than 100 miles., Conclusions: Our model suggests the United States could be served by approximately 100 fewer CHS hospitals than currently exist. With hospitals optimally placed, patient travel burden would decrease. This model serves as a platform to improve care delivery by regionalization of CHS., (Copyright © 2021 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Understanding the impact of the COVID-19 pandemic on paediatric non-COVID-19-related care, as well as patient and caregiver concerns and stressors, is critical for informing healthcare delivery. It was hypothesised that high care disruptions and psychological stress would be observed among paediatric and adult CHD patients in the early phase of the pandemic., Methods: A cross-sectional, international, electronic survey study was completed. Eligible participants included parents of children with acquired or CHD, adults with CHD, or caregivers of adults with CHD., Results: A total of 1220 participants from 25 countries completed the survey from 16 April to 4 May, 2020. Cardiac care disruption was significant with 38% reporting delays in pre-pandemic scheduled cardiac surgeries and 46% experiencing postponed cardiac clinic visits. The majority of respondents (75%) endorsed moderate to high concern about the patient with heart disease becoming ill from COVID-19. Worry about returning for in-person care was significantly greater than worry of harm to patient due to postponed care. Clinically significant psychological stress was high across the sample including children (50%), adults with CHD (42%), and caregivers (42%)., Conclusions: The early phase of the COVID-19 pandemic contributed to considerable disruptions in cardiac care for patients with paediatric and adult CHD. COVID-19-related fears are notable with potential to impact willingness to return to in-person care. Psychological stress is also very high necessitating intervention. Further study of the impact of delays in care on clinical outcomes is warranted.

Objectives: STAT Mortality Categories (developed 2009) stratify congenital heart surgery procedures into groups of increasing mortality risk to characterize case mix of congenital heart surgery providers. This update of the STAT Mortality Score and Categories is empirically based for all procedures and reflects contemporary outcomes., Methods: Cardiovascular surgical operations in the Society of Thoracic Surgeons Congenital Heart Surgery Database (January 1, 2010 - June 30, 2017) were analyzed. In this STAT 2020 Update of the STAT Mortality Score and Categories, the risk associated with a specific combination of procedures was estimated under the assumption that risk is determined by the highest risk individual component procedure. Operations composed of multiple component procedures were eligible for unique STAT Scores when the statistically estimated mortality risk differed from that of the highest risk component procedure. Bayesian modeling accounted for small denominators. Risk estimates were rescaled to STAT 2020 Scores between 0.1 and 5.0. STAT 2020 Category assignment was designed to minimize within-category variation and maximize between-category variation., Results: Among 161,351 operations at 110 centers (19,090 distinct procedure combinations), 235 types of single or multiple component operations received unique STAT 2020 Scores. Assignment to Categories resulted in the following distribution: STAT 2020 Category 1 includes 59 procedure codes with model-based estimated mortality 0.2% to 1.3%; Category 2 includes 73 procedure codes with mortality estimates 1.4% to 2.9%; Category 3 includes 46 procedure codes with mortality estimates 3.0% to 6.8%; Category 4 includes 37 procedure codes with mortality estimates 6.9% to 13.0%; and Category 5 includes 17 procedure codes with mortality estimates 13.5% to 38.7%. The number of procedure codes with empirically derived Scores has grown by 58% (235 in STAT 2020 vs 148 in STAT 2009). Of the 148 procedure codes with empirically derived Scores in 2009, approximately one-half have changed STAT Category relative to 2009 metrics. The New STAT 2020 Scores and Categories demonstrated good discrimination for predicting mortality in an independent validation sample (July 1, 2017-June 30, 2019; sample size 46,933 operations at 108 centers) with C-statistic = 0.791 for STAT 2020 Score and 0.779 for STAT 2020 Category., Conclusions: The updated STAT metrics reflect contemporary practice and outcomes. New empirically based STAT 2020 Scores and Category designations are assigned to a larger set of procedure codes, while accounting for risk associated with multiple component operations. Updating STAT metrics based on contemporary outcomes facilitates accurate assessment of case mix.

Objectives: The Pediatric Heart Network Collaborative Learning Study used collaborative learning strategies to implement a clinical practice guideline that increased rates of early extubation after infant repair of tetralogy of Fallot and coarctation of the aorta. We assessed early extubation rates for infants undergoing cardiac surgeries not targeted by the clinical practice guideline to determine whether changes in extubation practices spilled over to care of other infants., Design: Observational analyses of site's local Society of Thoracic Surgeons Congenital Heart Surgery Database and Pediatric Cardiac Critical Care Consortium Registry., Setting: Four Pediatric Heart Network Collaborative Learning Study active-site hospitals., Patients: Infants undergoing ventricular septal defect repair, atrioventricular septal defect repair, or superior cavopulmonary anastomosis (lower complexity), and arterial switch operation or isolated aortopulmonary shunt (higher complexity)., Interventions: None., Measurements and Main Results: Aggregate outcomes were compared between the 12 month pre-clinical practice guideline and 12 months after study completion (Follow Up). In infants undergoing lower complexity surgeries, early extubation increased during Follow Up compared with Pre-Clinical Practice Guideline (30.2% vs 18.8%, p = 0.006), and hours to initial postoperative extubation decreased. We observed variation in these outcomes by surgery type, with only ventricular septal defect repair associated with a significant increase in early extubation during Follow Up compared with Pre-Clinical Practice Guideline (47% vs 26%, p = 0.006). Variation by study site was also seen, with only one hospital showing an increase in early extubation. In patients undergoing higher complexity surgeries, there was no difference in early extubation or hours to initial extubation between the study eras., Conclusions: We observed spillover of extubation practices promoted by the Collaborative Learning Study clinical practice guideline to lower complexity operations not included in the original study that was sustainable 1 year after study completion, though this effect differed across sites and operation subtypes. No changes in postoperative extubation outcomes following higher complexity surgeries were seen. The significant variation in outcomes by site suggests that center-specific factors may have influenced spillover of clinical practice guideline practices., Competing Interests: Dr. Witte’s institution received funding from the Pediatric Heart Network/National Heart, Lung, and Blood Institute. Drs. Witte, Mahle, Pasquali, and Gaies received support for article research from the National Institutes of Health (NIH). Dr. Pasquali’s institution received funding from the NIH. Dr. Zhang disclosed work for hire. The remaining authors have disclosed that they do not have any potential conflicts of interest., (Copyright © 2020 by the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.)

Trajectories of neurodevelopment and quality of life were analyzed in children with hypoplastic left heart syndrome according to socioeconomic status (SES) and maternal education. Lower SES and less maternal education were associated with greater early delays in communication and problem-solving and progressive delays in problem-solving and fine motor skills over time., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Background: Optimal strategies to improve national congenital heart surgery outcomes and reduce variability across hospitals remain unclear. Many policy and quality improvement efforts have focused primarily on higher-risk patients and mortality alone. Improving our understanding of both morbidity and mortality and current variation across the spectrum of complexity would better inform future efforts., Methods: Hospitals participating in the Society of Thoracic Surgeons Congenital Heart Surgery Database (2014-2017) were included. Case mix-adjusted operative mortality, major complications, and postoperative length of stay were evaluated using Bayesian models. Hospital variation was quantified by the interdecile ratio (IDR, upper versus lower 10%) and 95% credible intervals (CrIs). Stratified analyses were performed by risk group (Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery [STAT] category) and simulations evaluated the potential impact of reductions in variation., Results: A total of 102 hospitals (n=84 407) were included, representing ≈85% of US congenital heart programs. STAT category 1 to 3 (lower risk) operations comprised 74% of cases. All outcomes varied significantly across hospitals: adjusted mortality by 3-fold (upper versus lower decile 5.0% versus 1.6%, IDR 3.1 [95% CrI 2.5-3.7]), mean length of stay by 1.8-fold (19.2 versus 10.5 days, IDR 1.8 [95% CrI 1.8-1.9]), and major complications by >3-fold (23.5% versus 7.0%, IDR 3.4 [95% CrI 3.0-3.8]). The degree of variation was similar or greater for low- versus high-risk cases across outcomes, eg, ≈3-fold mortality variation across hospitals for STAT 1 to 3 (IDR 3.0 [95% CrI 2.1-4.2]) and STAT 4 or 5 (IDR 3.1 [95% CrI 2.4-3.9]) cases. High-volume hospitals had less variability across outcomes and risk categories. Simulations suggested potential reductions in deaths (n=282), major complications (n=1539), and length of stay (101 183 days) over the 4-year study period if all hospitals were to perform at the current median or better, with 37% to 60% of the improvement related to the STAT 1 to 3 (lower risk) group across outcomes., Conclusions: We demonstrate significant hospital variation in morbidity and mortality after congenital heart surgery. Contrary to traditional thinking, a substantial portion of potential improvements that could be realized on a national scale were related to variability among lower-risk cases. These findings suggest modifications to our current approaches to optimize care and outcomes in this population are needed.

Background: Postoperative length of stay (LOS) is an important quality metric and is known to vary widely across hospitals after congenital heart surgery. Whether this variability is explained by factors associated with the intensive care unit (ICU) or acute care unit (ACU) remains unclear. We evaluated the relationship between ICU and ACU LOS and the impact of ACU characteristics on postoperative LOS., Methods: Hospitalizations for congenital heart surgery within the Pediatric Cardiac Critical Care Consortium (PC 4 ) registry (August 2014 to February 2018) were included. Models were developed for ICU, ACU, and postoperative LOS by adjusting for differences in case-mix across hospitals. PC 4 hospitals participating in the Pediatric Acute Care Cardiology Collaborative (PAC 3 ) were also surveyed on ACU organizational factors and practice patterns., Results: Overall, 19,674 hospitalizations across 27 hospitals were included. There was significant variation in ICU and ACU LOS. Postperative LOS appeared to be most closely related to ICU LOS; 75% (6 of 8) of hospitals with shorter than expected postoperative LOS also had shorter than expected ICU LOS. A clear relationship between postoperative and ACU LOS was not observed. Hospitals with an ACU able to provide higher-acuity care as indexed according to the PAC 3 survey were more likely to have shorter postoperative LOS (P < .01)., Conclusions: For hospitals that achieve shorter than expected postoperative LOS after congenital heart surgery, ICU LOS appears to be the primary driver. Higher-acuity resources in the ACU may be an important factor facilitating earlier transfer from the ICU. These data are key to informing quality improvement initiatives geared toward reducing postoperative LOS., (Copyright © 2020 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Low socioeconomic status (SES) has emerged as an important risk factor for higher short-term mortality and neurodevelopmental outcomes in children with hypoplastic left heart syndrome and related anomalies; yet little is known about how SES affects these outcomes over the long-term., Methods: We linked data from the Single Ventricle Reconstruction trial to US Census Bureau data to analyze the relationship of neighborhood SES tertiles with mortality and transplantation, neurodevelopment, quality of life, and functional status at 5 and 6 years post-Norwood procedure ( N = 525). Cox proportional hazards regression and linear regression were used to assess the association of SES with mortality and neurodevelopmental outcomes, respectively., Results: Patients in the lowest SES tertile were more likely to be racial minorities, older at stage 2 and Fontan procedures, and to have more complications and fewer cardiac catheterizations over follow-up (all P < .05) compared with patients in higher SES tertiles. Unadjusted mortality was highest for patients in the lowest SES tertile and lowest in the highest tertile (41% vs 29%, respectively; log-rank P = .027). Adjustment for patient birth and Norwood factors attenuated these differences slightly ( P = .055). Patients in the lowest SES tertile reported lower functional status and lower fine motor, problem-solving, adaptive behavior, and communication skills at 6 years (all P < .05). These differences persisted after adjustment for baseline and post-Norwood factors. Quality of life did not differ by SES., Conclusions: Among patients with hypoplastic left heart syndrome, those with low SES have worse neurodevelopmental and functional status outcomes at 6 years. These differences were not explained by other patient or clinical characteristics., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2020 by the American Academy of Pediatrics.)

Background: Optimal methods to assess resource utilization in congenital heart surgery remain unclear. We compared traditional cost-to-charge ratio methods with newer standardized cost methods that aim to more directly assess resources consumed., Methods: Clinical data from The Society of Thoracic Surgeons Database were linked with resource use data from the Pediatric Health Information Systems Database (2010 to 2015). Standardized cost methods specific to the congenital heart surgery population were developed and compared with cost-to-charge ratio methods. Resource use in the overall population and variability across hospitals were described using hierarchical mixed effect models adjusting for case-mix., Results: Overall, 43 hospitals (65,331 patients) were included. There were minimal population-level differences in the distribution of resource use as estimated by the two methods. At the hospital level, there was less apparent variability in resource use across centers with the standardized cost vs cost-to-charge ratio method, overall (coefficient of variation 20% vs 25%) and across complexity (The Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery [STAT]) categories. When hospitals were categorized into tertiles by resource use, 33% changed classification depending on which resource use method was used (26% by one tertile and 7% by two tertiles)., Conclusions: In this first evaluation of standardized cost methodology in the congenital heart population, we found minimal differences vs traditional methods at the population level. At the hospital level, the magnitude of variation in resource use was less with standardized cost methods, and approximately one third of centers changed resource use categories depending on the methodology used. Because of these differences, care should be taken in future studies and in benchmarking and reporting efforts in selecting optimal methodology., (Copyright © 2020 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Nearly every child undergoing congenital heart surgery has chest tubes placed intraoperatively. Center variation in removal practices and impact on outcomes has not been well described. This study evaluated variation in chest tube management practices and outcomes across centers., Methods: The study included patients undergoing any of 10 benchmark operations from June 2017 to May 2018 at participating Pediatric Acute Care Cardiology Collaborative (PAC 3 ) and Pediatric Cardiac Critical Care Consortium (PC 4 ) centers. Clinical data from PC 4 centers were merged with chest tube data from PAC 3 centers. Practices and outcomes were compared across centers in univariate and multivariable analysis., Results: The cohort included 1029 patients (N = 9 centers). Median chest tube duration varied significantly across centers for 9 of 10 benchmark operations (all P ≤ .03), with a "model" center noted to have the shortest duration for 9 of 10 operations (range, 27.9% to 87.4% shorter duration vs other centers across operations). This effect persisted in multivariable analysis (P < .0001). The model center had higher volumes of chest tube output before removal (median, 8.5 mL/kg/24 h [model] vs 2.2 mL/kg/24 h [other centers]; P < .001], but it did not have higher rates of chest tube reinsertion (model center 1.3% vs 2.1%; P = .59) or readmission for pleural effusion (model center 4.4% vs 3.0%; P = .31), and had the shortest length of stay for 7 of 10 operations., Conclusions: This study suggests significant center variation in chest tube removal practices and associated outcomes after congenital heart surgery. Best practices used at the model center have informed the design of an ongoing collaborative learning project aimed at reducing chest tube duration and length of stay., (Copyright © 2020 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background/aims: Registry-based trials have emerged as a potentially cost-saving study methodology. Early estimates of cost savings, however, conflated the benefits associated with registry utilisation and those associated with other aspects of pragmatic trial designs, which might not all be as broadly applicable. In this study, we sought to build a practical tool that investigators could use across disciplines to estimate the ranges of potential cost differences associated with implementing registry-based trials versus standard clinical trials., Methods: We built simulation Markov models to compare unique costs associated with data acquisition, cleaning, and linkage under a registry-based trial design versus a standard clinical trial. We conducted one-way, two-way, and probabilistic sensitivity analyses, varying study characteristics over broad ranges, to determine thresholds at which investigators might optimally select each trial design., Results: Registry-based trials were more cost effective than standard clinical trials 98.6% of the time. Data-related cost savings ranged from $4300 to $600,000 with variation in study characteristics. Cost differences were most reactive to the number of patients in a study, the number of data elements per patient available in a registry, and the speed with which research coordinators could manually abstract data. Registry incorporation resulted in cost savings when as few as 3768 independent data elements were available and when manual data abstraction took as little as 3.4 seconds per data field., Conclusions: Registries offer important resources for investigators. When available, their broad incorporation may help the scientific community reduce the costs of clinical investigation. We offer here a practical tool for investigators to assess potential costs savings.

The objective of this study is to simulate regionalization of congenital heart surgery (CHS) in the United States and assess the impact of such a system on travel distance and mortality. Patients ≤18 years of age who underwent CHS were identified in 2012 State Inpatient Databases. Operations were stratified by the Risk Adjustment for Congenital Heart Surgery, version 1 (RACHS-1) method, with high risk defined as RACHS-1 levels 4-6. Regionalization was simulated by progressive closure of hospitals, beginning with the lowest volume hospital. Patients were moved to the next closest hospital. Analyses were conducted (1) maintaining original hospital mortality rates and (2) estimating mortality rates based on predicted surgical volumes after absorbing moved patients. One hundred fifty-three hospitals from 36 states performed 1 or more operation (19,064 operations). With regionalization wherein, all hospitals performed >310 operations, 37 hospitals remained, from 12.5% to 17.4% fewer deaths occurred (83-116/666), and median patient travel distance increased from 38.5 to 69.6 miles (P < 0.01). When only high-risk operations were regionalized, 3.9-5.9% fewer deaths occurred (26-39/666), and the overall mortality rate did not change significantly. Regionalization of CHS in the United States to higher volume centers may reduce mortality with minimal increase in patient travel distance. Much of the mortality reduction may be missed if solely high-risk patients are regionalized., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Background: The purpose of this study was to evaluate the association between preoperative biomarker levels and 365-day readmission or mortality after pediatric congenital heart surgery., Methods: Children aged 18 years or younger undergoing congenital heart surgery (n = 145) at Johns Hopkins Hospital from 2010 to 2014 were enrolled in the prospective cohort. Novel biomarkers suppression of tumorgenicity 2, galectin-3, N-terminal prohormone brain natriuretic peptide, and glial fibrillary acidic protein were measured. The composite study endpoint was unplanned readmission within 365 days after discharge or mortality either in hospital during the surgical admission or within 365 days after discharge. A clinical model based on covariates used in The Society of Thoracic Surgeons Congenital Heart Surgery Database mortality risk model and an augmented model using the clinical model in conjunction with a novel biomarker panel were evaluated., Results: Readmission or mortality within 365 days of surgery occurred among 39 pediatric patients (27%). The clinical model alone resulted in a c-statistic of 0.719 (95% confidence interval, 0.63 to 0.81). The clinical model in conjunction with the log-transformed biomarkers improved the c-statistic to 0.805 (95% confidence interval, 0.73 to 0.88). The addition of biomarkers resulted in a significant improvement to the clinical model alone (P value = 0.035)., Conclusions: Novel biomarkers may add predictive value when assessing the likelihood of 365-day readmission or mortality after pediatric congenital heart surgery. After adjusting for clinical and novel biomarkers, preoperative and postoperative suppression of tumorgenicity 2 remained associated with 365-day readmission or mortality. Currently, The Society of Thoracic Surgeons clinical congenital mortality risk model can be applied to identify children with increased risk of repeat hospitalizations and postdischarge mortality and may inform preventative care interventions that aim to reduce these adverse events., (Copyright © 2020 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Patients undergoing complex pediatric cardiac surgery remain at considerable risk of mortality and morbidity, and variation in outcomes exists across hospitals. The Pediatric Cardiac Critical Care Consortium (PC4) was formed to improve the quality of care for these patients through transparent data sharing and collaborative learning between participants., Objectives: The purpose of this study was to determine whether outcomes improved over time within PC4., Methods: The study analyzed 19,600 hospitalizations (18 hospitals) in the PC4 clinical registry that included cardiovascular surgery from August 2014 to June 2018. The primary exposure was 2 years of PC4 participation; this provided adequate time for hospitals to accrue data and engage in collaborative learning. Aggregate case mix-adjusted outcomes were compared between the first 2 years of participation (baseline) and all months post-exposure. We also evaluated outcomes from the same era in a cohort of similar, non-PC4 hospitals., Results: During the baseline period, there was no evidence of improvement. We observed significant improvement in the post-exposure period versus baseline for post-operative intensive care unit mortality (2.1% vs. 2.7%; 22% relative reduction [RR]; p = 0.001), in-hospital mortality (2.5% vs. 3.3%; 24% RR; p = 0.001), major complications (10.1% vs. 11.5%; 12% RR; p < 0.001), intensive care unit length of stay (7.3 days vs. 7.7 days; 5% RR; p < 0.001), and duration of ventilation (61.3 h vs. 70.6 h; 13% RR; p = 0.01). Non-PC4 hospitals showed no significant improvement in mortality, complications, or hospital length of stay., Conclusions: This analysis demonstrates improving cardiac surgical outcomes at children's hospitals participating in PC4. This change appears unrelated to secular improvement trends, and likely reflects PC4's commitment to transparency and collaboration., (Copyright © 2019 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.)

Background: Emerging data across many fields suggest that unique patient characteristics can impact disease manifestation and response to therapy, supporting "precision medicine" approaches and more individualized and targeted therapeutic strategies. In children undergoing congenital heart surgery, current risk models primarily focus on the population level, and their utility in understanding precise characteristics that place individual patients at risk for poor outcome remains unclear., Methods: We analyzed index surgeries in the Pediatric Cardiac Critical Care Consortium (PC 4 ) registry (August 2014 to May 2016) and utilized a previously constructed model containing patient factors typically included in in-hospital mortality risk models (age, weight, prematurity, chromosomal anomalies/syndromes, preoperative factors, The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery score). Partitioned variances based on a hierarchical generalized linear model were used to estimate the proportion of variation in mortality explained by these factors., Results: A total of 8406 operations (22 hospitals) were included. We found that only 30% of the total between-patient variation in mortality in our cohort was explained by the patient factors included in our model. Age, The Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery score, and preoperative mechanical ventilation explained the greatest proportion of variation. Of the variation that remained unexplained, 95% was attributable to unmeasured patient factors. In stratified analyses, these results were consistent across patient subgroups., Conclusions: Patient factors typically included in congenital heart surgery risk models explain only a small portion of total variation in mortality. A better understanding of other underrecognized factors is critical in further defining risk profiles and in developing more individualized and tailored therapeutic strategies., (Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Although overall outcomes have improved for single-ventricle patients, substantial morbidity and mortality remain for certain high-risk groups. The hybrid stage I procedure is an alternative to the Norwood operation for stage I palliation, but it remains unclear whether it is associated with improved outcomes in high-risk patients., Methods: This single-center, nested, case-control study included high-risk patients with a systemic right ventricle who underwent hybrid stage I or Norwood palliation from January 2000 to December 2016. High-risk features included prematurity < 34 weeks, birth weight < 2.5 kg, restrictive/intact atrial septum, at least moderate atrioventricular valve regurgitation or right ventricular dysfunction, genetic or extracardiac anomalies, or left ventricular sinusoids. Patients were matched by presence of genetic anomaly, restrictive/intact atrial septum, and prematurity/weight < 2 kg. Early and midterm outcomes were compared in the matched hybrid vs Norwood groups., Results: The study included 96 patients (35 hybrid, 61 Norwood). Despite improved 30-day survival in hybrid patients (91% vs 66%, P < .01), 1-year survival was similar between the hybrid and Norwood groups (46% vs 48%, P = .9). No hybrid patients required dialysis or extracorporeal membrane oxygenation after stage I palliation as compared with 19% and 22% of Norwood patients, respectively (both P < .01). Hybrid patients, however, required more unplanned reinterventions (43% vs 21%, P = .02)., Conclusions: There remains significant morbidity and mortality among high-risk single-ventricle infants. Despite an early survival benefit, hybrid stage I palliation has not been associated with improved midterm outcomes at our center., (Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Background: Successful repair of anomalous origin of coronary artery from the pulmonary artery (ACAPA) is generally associated with a good prognosis. However, risk factors for poor postoperative outcomes have not been well characterized. This study used a multicenter data set to determine predictors of mortality after ACAPA repair., Methods: A retrospective analysis was performed using The Society of Thoracic Surgeons Congenital Heart Surgery Database's Participant User File. After identification of all patients with ACAPA who underwent repair from 2007 to 2016, demographics, preoperative and intraoperative variables, and postoperative complications were compared between survivors and nonsurvivors. The primary outcomes included (1) in-hospital mortality and (2) the need for postoperative extracorporeal membrane oxygenation (ECMO) support. Multivariable logistic regression was used to determine preoperative and intraoperative risk factors for these outcomes., Results: Of the 703 patients who underwent ACAPA repair, 20 (2.8%) died during the same hospitalization. The odds of mortality were increased if preoperative shock was present (odds ratio [OR], 4.6; 95% confidence interval [CI], 1.4 to 15.1; P = .01) and if postoperative ECMO was required (OR, 11.8; 95% CI, 3.6 to 38.4; P < .001). The odds of postoperative ECMO use were increased if preoperative shock was present (OR, 3.6; 95% CI, 1.6 to 7.6; P = .001). Lower weight was also a risk factor for both mortality and postoperative ECMO., Conclusions: Lower weight, preoperative shock, and postoperative ECMO use were identified as risk factors for in-hospital mortality in patients undergoing ACAPA repair. These important perioperative factors likely reflect the clinical severity of presentation and suggest a role for early consideration of postoperative mechanical circulatory support to improve outcomes., (Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

As the largest congenital and pediatric cardiac surgical clinical data registry in the world, The Society of Thoracic Surgeons Congenital Heart Surgery Database (STS CHSD) serves as a platform for reporting of outcomes and for quality improvement. In addition, it is an important source of data for clinical research and for innovations related to quality measurement. Each year, several teams of investigators undertake analyses of data in the STS CHSD pertaining to the surgical management of specific diagnostic and procedural groups, or to specific processes of care, and their associations with patient characteristics and outcomes across centers participating in the STS CHSD. Additional ongoing projects involve the development of new or refined metrics for quality measurement and reporting of outcomes and center-level performance. The STS, through its Workforce for National Databases and the STS Research Center and Workforce on Research Development provides multiple pathways through which investigators may propose and perform outcomes research projects based on STS CHSD data. This report reviews research published within the past year., (Copyright © 2019 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.)

Recent years have seen an exponential increase in the variety of healthcare data captured across numerous sources. However, mechanisms to leverage these data sources to support scientific investigation have remained limited. In 2013 the Pediatric Heart Network (PHN), funded by the National Heart, Lung, and Blood Institute, developed the Integrated CARdiac Data and Outcomes (iCARD) Collaborative with the goals of leveraging available data sources to aid in efficiently planning and conducting PHN studies; supporting integration of PHN data with other sources to foster novel research otherwise not possible; and mentoring young investigators in these areas. This review describes lessons learned through the development of iCARD, initial efforts and scientific output, challenges, and future directions. This information can aid in the use and optimisation of data integration methodologies across other research networks and organisations.