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Importance: Data are limited on the longitudinal implications of socioeconomic status (SES) for neurodevelopmental outcomes among persons with complex congenital heart disease (CHD)., Objectives: To examine the association of family SES, maternal educational level, and maternal IQ with the neurodevelopment of individuals with dextro-transposition of the great arteries (d-TGA) from age 1 to 16 years and to identify how SES-related disparities change with age., Design, Setting, and Participants: This cohort study analyzed data of participants enrolled in the Boston Circulatory Arrest Study, a randomized clinical trial conducted in Boston, Massachusetts, from 1988 to 1992. Participants were infants with d-TGA who underwent arterial switch operation and, after operation, underwent in-person neurodevelopmental status evaluations at ages 1, 4, 8, and 16 years. Analyses were conducted from April 2021 to August 2024., Exposures: Mean Hollingshead scores at birth, age 1 year, and age 4 years were used to assign participants to SES tertiles (lowest, middle, or highest)., Main Outcomes and Measures: Age-appropriate neurodevelopmental outcomes assessed at 4 study time points (ages 1, 4, 8, and 16 years) via in-person administration of a range of well-validated measures. Standardized neurodevelopmental composite scores from each evaluation were derived from principal component analysis and compared across SES tertiles, adjusting for birth and medical characteristics. These scores were used to categorize the sample into latent classes; patient and medical factors for a 3-class model were used to estimate latent class using multinomial regression., Results: The sample included 164 patients with d-TGA (123 males [75%]; mean [SD] gestational age at birth, 39.8 [1.2] weeks; 3 with Asian [2%], 6 with Black [4%], 5 with Hispanic [3%], and 146 with White [89%] race and ethnicity) and their mothers (mean [SD] age at birth, 28.5 [5.2] years). Lower SES tertile was associated with worse scores on most individual neurodevelopmental tests and worse neurodevelopmental composite scores at ages 4, 8, and 16 years. For example, mean (SD) neurodevelopmental composite scores at age 4 years were -0.49 [0.83] for lowest, 0.00 [0.81] for middle, and 0.47 [1.10] for highest SES tertile (F2 = 15.5; P < .001). When measured at consecutive time points, differences between SES tertiles were of similar magnitude. A latent class analysis produced 2- and 3-class models representing patients with stable (103 [64%] and 85 [53%]), improving (20 [13%]), and declining (57 [36%] and 55 [34%]) neurodevelopmental status. Those experiencing declines in neurodevelopmental status were more likely to have younger maternal age at childbirth (26.6 [5.1] vs 29.6 [4.9] and 29.1 [5.1] years; P = .002), lower maternal IQ (91.0 [14.1] vs 100.1 [11.1] and 96.2 [11.0]; P < .001), and lower SES (35.2 [10.8] vs 40.9 [9.9] and 35.8 [10.1]; P = .003) compared with those with stable or improving status., Conclusions and Relevance: This cohort study of individuals with d-TGA found an association between lower family SES and worse neurodevelopmental outcomes in childhood and continuing throughout adolescence as well as greater decline in neurodevelopmental status over time. Effective strategies are needed to improve access to neurodevelopmental monitoring and intervention services for children with CHD from lower socioeconomic backgrounds.

Background: Congenital heart defects (CHD) are the most common birth defects and previous estimates report the disease affects 1% of births annually in the United States. To date, CHD prevalence estimates are inconsistent due to varied definitions, data reliant on birth registries, and are geographically limited. These data sources may not be representative of the total prevalence of the CHD population. It is therefore important to derive high-quality, population-based estimates of the prevalence of CHD to help care for this vulnerable population., Methods: We performed a descriptive, retrospective 8-year analysis using all-payer claims data from Colorado from 2012 to 2019. Children with CHD were identified by applying International Classification of Diseases-Ninth Revision (ICD-9 ) and International Classification of Diseases-Tenth Revision ( ICD-10 ) diagnosis codes from the American Heart Association-American College of Cardiology harmonized cardiac codes. We included children with CHD <18 years of age who resided in Colorado, had a documented zip code, and had at least 1 health care claim. CHD type was categorized as simple, moderate, and severe disease. Association with comorbid conditions and genetic diagnoses were analyzed using χ 2 test. We used direct standardization to calculate adjusted prevalence rates, controlling for age, sex, primary insurance provider, and urban-rural residence., Results: We identified 1 566 328 children receiving care in Colorado from 2012 to 2019. Of those, 30 512 children had at least 1 CHD diagnosis, comprising 1.95% (95% CI, 1.93-1.97) of the pediatric population. Over half of the children with CHD also had at least 1 complex chronic condition. After direct standardization, the adjusted prevalence rates show a small increase in simple severity diagnoses across the study period (adjusted rate of 11.5 [2012]-14.4 [2019]; P <0.001)., Conclusions: The current study is the first population-level analysis of pediatric CHD in the United States. Using administrative claims data, our study found a higher CHD prevalence and comorbidity burden compared with previous estimates., Competing Interests: None.

Background: As U.S. legislators are urged to combat ghost networks in behavioral health and address the provider data quality issue, it becomes important to better characterize the variation in data quality of provider directories to understand root causes and devise solutions. Therefore, this manuscript examines consistency of address, phone number, and specialty information for physician entries from 5 national health plan provider directories by insurer, physician specialty, and state., Methods: We included all physicians in the Medicare Provider Enrollment, Chain, and Ownership System (PECOS) found in ≥ 2 health insurer physician directories across 5 large national U.S. health insurers. We examined variation in consistency of address, phone number, and specialty information among physicians by insurer, physician specialty, and state., Results: Of 634,914 unique physicians in the PECOS database, 449,282 were found in ≥ 2 directories and included in our sample. Across insurers, consistency of address information varied from 16.5 to 27.9%, consistency of phone number information varied from 16.0 to 27.4%, and consistency of specialty information varied from 64.2 to 68.0%. General practice, family medicine, plastic surgery, and dermatology physicians had the highest consistency of addresses (37-42%) and phone numbers (37-43%), whereas anesthesiology, nuclear medicine, radiology, and emergency medicine had the lowest consistency of addresses (11-21%) and phone numbers (9-14%) across health insurer directories. There was marked variation in consistency of address, phone number, and specialty information by state., Conclusions: In evaluating a large national sample of U.S. physicians, we found minimal variation in provider directory consistency by insurer, suggesting that this is a systemic problem that insurers have not solved, and considerable variation by physician specialty with higher quality data among more patient-facing specialties, suggesting that physicians may respond to incentives to improve data quality. These data highlight the importance of novel policy solutions that leverage technology targeting data quality to centralize provider directories so as not to not reinforce existing data quality issues or policy solutions to create national and state-level standards that target both insurers and physician groups to maximize quality of provider information., (© 2024. This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply.)

Background: The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes., Methods: Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders., Results: The analysis cohort included 1837 patients from 69 centers. Birth weight ( P <0.001) and proximity to a surgical center at birth ( P =0.02) increased with COI level. Stage 1 length of stay decreased ( P =0.001), and exclusive oral feeding rate at discharge increased ( P <0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes., Conclusions: Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation., Competing Interests: None.

Congenital heart disease (CHD) is increasingly diagnosed prenatally and the ability to screen and diagnose the genetic factors involved in CHD have greatly improved. The presence of a genetic abnormality in the setting of prenatally diagnosed CHD impacts prenatal counseling and ensures that families and providers have as much information as possible surrounding perinatal management and what to expect in the future. This review will discuss the genetic evaluation that can occur prior to birth, what different genetic testing methods are available, and what to think about in the setting of various CHD diagnoses.

Background: For infants with single ventricle heart disease, the time after stage 2 procedure (S2P) is believed to be a lower risk period compared with the interstage period; however, significant morbidity and mortality still occur., Objectives: This study aimed to identify risk factors for mortality or transplantation referral between S2P surgery and the first birthday., Methods: Retrospective cohort analysis of infants in the National Pediatric Cardiology Quality Improvement Collaborative who underwent staged single ventricle palliation from 2016 to 2022 and survived to S2P. Multivariable logistic regression and classification and regression trees were performed to identify risk factors for mortality and transplantation referral after S2P., Results: Of the 1,455 patients in the cohort who survived to S2P, 5.2% died and 2.3% were referred for transplant. Overall event rates at 30 and 100 days after S2P were 2% and 5%, respectively. Independent risk factors for mortality and transplantation referral included the presence of a known genetic syndrome, shunt type at stage 1 procedure (S1P), tricuspid valve repair at S1P, longer time to extubation and reintubation after S1P, ≥ moderate tricuspid regurgitation prior to S2P, younger age at S2P, and the risk groups identified in the classification and regression tree analysis (extracorporeal membrane oxygenation after S1P and longer S2P cardiopulmonary bypass time without extracorporeal membrane oxygenation)., Conclusions: Mortality and transplantation referral rates after S2P to 1 year of age remain high ∼7%. Many of the identified risk factors after S2P are similar to those established for interstage factors around the S1P, whereas others may be unique to the period after S2P., Competing Interests: Dr Bucholz is funded by a grant from the 10.13039/100005627Thrasher Research Fund to apply machine learning techniques for risk prediction of outcomes in single ventricle heart disease. All other authors have reported that they have no relationships relevant to the contents of this paper to disclose., (© 2024 The Authors.)

Objective: Heterotaxy syndrome is a complex multisystem abnormality historically associated with high morbidity and mortality. We sought to evaluate the early and long-term outcomes after cardiac surgery in heterotaxy syndrome., Methods: This is a single-center retrospective review of patients with heterotaxy syndrome undergoing single-ventricle palliation or primary or staged biventricular repair from 1998 to 2018. Patients were stratified by single ventricle versus biventricular physiology, and the severity of atrioventricular valve regurgitation. Demographics, anatomic characteristics, and early and late outcomes, including the length of stay, mortality, and surgical or catheter reinterventions, were analyzed., Results: Among 250 patients, 150 (60%) underwent biventricular repair. In-hospital mortality was 7.6% (n = 19). Median follow-up was 5.2 (range, 0-16) years. Among survivors to discharge, mortality was 19% (n = 44) and reintervention was 52% (n = 120). Patients with moderate/severe atrioventricular valve regurgitation were older (32 vs 16 months, P  = .02), were more likely to experience adverse events during their index surgical admission (72% vs 46%, P  < .001), and had longer in-hospital length of stay (20 vs 12 days, P  = .009). Among patients with moderate to severe atrioventricular valve regurgitation, single-ventricle palliation is associated with a greater risk of unplanned reintervention compared with patients undergoing biventricular repair (hazard ratio, 2.13; CI, 1.10-4.12; P  = .025)., Conclusions: There was no significant difference in early or late outcomes in single-ventricle versus biventricular repair strategies in heterotaxy. In the subgroup of patients with moderate/severe atrioventricular valve regurgitation, patients who underwent single-ventricle palliation were 2.5 times more likely to need a late reintervention compared with those undergoing biventricular repair., Competing Interests: The authors reported no conflicts of interest. The Journal policy requires editors and reviewers to disclose conflicts of interest and to decline handling or reviewing manuscripts for which they may have a conflict of interest. The editors and reviewers of this article have no conflicts of interest., (© 2024 The Author(s).)

Background: Disordered lymphatic drainage is common in congenital heart diseases (CHD), but thoracic duct (TD) drainage patterns in heterotaxy have not been described in detail. This study sought to describe terminal TD sidedness in heterotaxy and its associations with other anatomic variables., Methods: This was a retrospective, single-center study of patients with heterotaxy who underwent cardiovascular magnetic resonance imaging at a single center between July 1, 2019 and May 15, 2023. Patients with (1) asplenia (right isomerism), (2) polysplenia (left isomerism) and (3) pulmonary/abdominal situs inversus (PASI) plus CHD were included. Terminal TD sidedness was described as left-sided, right-sided, or bilateral., Results: Of 115 eligible patients, the terminal TD was visualized in 56 (49 %). The terminal TD was left-sided in 25 patients, right-sided in 29, and bilateral in two. On univariate analysis, terminal TD sidedness was associated with atrial situs (p = 0.006), abdominal situs (p = 0.042), type of heterotaxy (p = 0.036), the presence of pulmonary obstruction (p = 0.041), superior vena cava sidedness (p = 0.005), and arch sidedness (p < 0.001). On multivariable analysis, only superior vena cava and aortic arch sidedness were independently associated with terminal TD sidedness., Conclusions: Terminal TD sidedness is highly variable in patients with heterotaxy. Superior vena cava and arch sidedness are independently associated with terminal TD sidedness. Type of heterotaxy was not independently associated with terminal TD sidedness. This data improves the understanding of anatomic variation in patients with heterotaxy and may be useful for planning for lymphatic interventions., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.)

Objective: Reducing pediatric readmissions has become a national priority; however, the use of readmission rates as a quality metric remains controversial. The goal of this study was to examine short-term stability and long-term changes in hospital readmission rates., Methods: Data from the Pediatric Health Information System were used to compare annual 30-day risk-adjusted readmission rates (RARRs) in 47 US children's hospitals from 2016 to 2017 (short-term) and 2016 to 2019 (long-term). Pearson correlation coefficients and weighted Cohen's Kappa statistics were used to measure correlation and agreement across years for hospital-level RARRs and performance quartiles., Results: Median (IQR) 30-day RARRs remained stable from 7.7% (7.0-8.3) in 2016 to 7.6% (7.0-8.1) in 2019. Individual hospital RARRs in 2016 were strongly correlated with the same hospital's 2017 rate (R 2  = 0.89 [95% confidence interval (CI) 0.80-0.94]) and moderately correlated with those in 2019 (R 2  = 0.49 [95%CI 0.23-0.68]). Short-term RARRs (2016 vs 2017) were more highly correlated for medical conditions than surgical conditions, but correlations between long-term medical and surgical RARRs (2016 vs 2019) were similar. Agreement between RARRs was higher when comparing short-term changes (0.73 [95%CI 0.59-0.86]) than long-term changes (0.45 [95%CI 0.27-0.63]). From 2016 to 2019, RARRs increased by ≥1% in 7 (15%) hospitals and decreased by ≥1% in 6 (13%) hospitals. Only 7 (15%) hospitals experienced reductions in RARRs over the short and long-term., Conclusions: Hospital-level performance on RARRs remained stable with high agreement over the short-term suggesting stability of readmission measures. There was little evidence of sustained improvement in hospital-level performance over multiple years., (Copyright © 2022 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Background Mortality prediction in critically ill patients with cardiogenic shock can guide triage and selection of potentially high-risk treatment options. Methods and Results We developed and externally validated a checklist risk score to predict in-hospital mortality among adults admitted to the cardiac intensive care unit with Society for Cardiovascular Angiography & Interventions Shock Stage C or greater cardiogenic shock using 2 real-world data sets and Risk-Calibrated Super-sparse Linear Integer Modeling (RiskSLIM). We compared this model to those developed using conventional penalized logistic regression and published cardiogenic shock and intensive care unit mortality prediction models. There were 8815 patients in our training cohort (in-hospital mortality 13.4%) and 2237 patients in our validation cohort (in-hospital mortality 22.8%), and there were 39 candidate predictor variables. The final risk score (termed BOS,MA 2 ) included maximum blood urea nitrogen ≥25 mg/dL, minimum oxygen saturation <88%, minimum systolic blood pressure <80 mm Hg, use of mechanical ventilation, age ≥60 years, and maximum anion gap ≥14 mmol/L, based on values recorded during the first 24 hours of intensive care unit stay. Predicted in-hospital mortality ranged from 0.5% for a score of 0 to 70.2% for a score of 6. The area under the receiver operating curve was 0.83 (0.82-0.84) in training and 0.76 (0.73-0.78) in validation, and the expected calibration error was 0.9% in training and 2.6% in validation. Conclusions Developed using a novel machine learning method and the largest cardiogenic shock cohorts among published models, BOS,MA 2 is a simple, clinically interpretable risk score that has improved performance compared with existing cardiogenic-shock risk scores and better calibration than general intensive care unit risk scores.

Background The impact of neighborhood socioeconomic status (SES) on outcomes following first-stage palliation of single ventricle heart disease remains incompletely characterized. Methods and Results This was a single-center, retrospective review of consecutive patients who underwent the Norwood procedure from January 1, 1997 to November 11, 2017. Outcomes of interest included in-hospital (early) mortality or transplant, postoperative hospital length-of-stay, inpatient cost, and postdischarge (late) mortality or transplant. The primary exposure was neighborhood SES, assessed using a composite score derived from 6 US census-block group measures related to wealth, income, education, and occupation. Associations between SES and outcomes were assessed using logistic regression, generalized linear, or Cox proportional hazards models, adjusting for baseline patient-related risk factors. Of 478 patients, there were 62 (13.0%) early deaths or transplants. Among 416 transplant-free survivors at hospital discharge, median postoperative hospital length-of-stay and cost were 24 (interquartile range, 15-43) days and $295 000 (interquartile range, $193 000-$563 000), respectively. There were 97 (23.3%) late deaths or transplants. On multivariable analysis, patients in the lowest SES tertile had greater risk of early mortality or transplant (odds ratio [OR], 4.3 [95% CI, 2.0-9.4; P <0.001]), had longer hospitalizations (coefficient 0.4 [95% CI, 0.2-0.5; P <0.001]), incurred higher costs (coefficient 0.5 [95% CI, 0.3-0.7; P <0.001]), and had greater risk of late mortality or transplant (hazard ratio, 2.2 [95% CI, 1.3-3.7; P =0.004]), compared with those in the highest tertile. The risk of late mortality was partially attenuated with successful completion of home monitoring programs. Conclusions Lower neighborhood SES is associated with worse transplant-free survival following the Norwood operation. This risk persists throughout the first decade of life and may be mitigated with successful completion of interstage surveillance programs.

Objective: We sought to identify associations between prenatal care coordination (PNC) and outcomes in hypoplastic left heart syndrome (HLHS)., Study Design: We hypothesized that suboptimal PNC is associated with worse pre-operative status. HLHS patients from 2016 through 2019 were identified using a multicenter registry. Optimal PNC was defined as (1) a completed interdisciplinary conference and (2) closed-loop communication with the obstetric team. Associations between PNC and outcomes were identified., Results: Of 1441 patients, 1242 (86%) had prenatal diagnosis. Among those with a prenatal diagnosis, PNC was achieved in only 845 (68%). Suboptimal PNC was associated with adverse events (50% vs 40%, p < 0.001), inotrope need (19% vs 13%, p = 0.007), mechanical ventilation (22% vs 16%, p = 0.016), and parenteral feeding (60% vs 46%, p < 0.001). African-American race and non-commercial insurance were associated with a lower likelihood of optimal PNC (p = 0.006 and p < 0.001, respectively)., Conclusion: Improving PNC and overcoming racial and socioeconomic barriers are important targets to improve HLHS perinatal care., (© 2022. The Author(s), under exclusive licence to Springer Nature America, Inc.)

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: While singular measures of socioeconomic status have been associated with outcomes after surgery for congenital heart disease, the multifaceted pathways through which a child's environment impacts similar outcomes remain incompletely characterized. We sought to evaluate the association between childhood opportunity level and adverse outcomes after congenital heart surgery., Methods: Data from patients undergoing congenital cardiac surgery from January 2011 to January 2020 at a quaternary referral center were retrospectively reviewed. Outcomes of interest included predischarge (early) mortality or transplant, postoperative hospital length-of-stay, inpatient cost of hospitalization, postdischarge (late) mortality or transplant, and late unplanned reintervention. The primary predictor was a US census tract-based, nationally-normed composite metric of contemporary child neighborhood opportunity comprising 29 indicators across 3 domains (education, health and environment, and socioeconomic), categorized as very low, low, moderate, high, and very high. Associations between childhood opportunity level and outcomes were evaluated using logistic regression (early mortality), generalized linear (length-of-stay and cost), Cox proportional hazards (late mortality), or competing risk (late reintervention) models, adjusting for baseline patient-related factors, case complexity, and residual lesion severity., Results: Of 6133 patients meeting entry criteria, the median age was 2.0 years (interquartile range, 3.6 months-8.3 years). There were 124 (2.0%) early deaths or transplants, the median postoperative length-of-stay was 7 days (interquartile range, 5-13 days), and the median inpatient cost was $76 000 (interquartile range, $50 000-130 000). No significant association between childhood opportunity level and early mortality or transplant was observed ( P =0.21). On multivariable analysis, children with very low and low opportunity had significantly longer length-of-stay and incurred higher costs compared with those with very high opportunity (all P <0.05). Of 6009 transplant-free survivors of hospital discharge, there were 175 (2.9%) late deaths or transplants, and 1008 (16.8%) reinterventions at up to 10.5 years of follow-up. Patients with very low opportunity had a significantly greater adjusted risk of late death or transplant (hazard ratio, 1.7 [95% CI, 1.1-2.6]; P =0.030) and reintervention (subdistribution hazard ratio, 1.9 [95% CI, 1.5-2.3]; P <0.001), versus those with very high opportunity., Conclusions: Childhood opportunity level is independently associated with adverse outcomes after congenital heart surgery. Children from resource-limited settings thus constitute an especially high-risk cohort that warrants closer surveillance and tailored interventions.

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.)

Introduction: Ideal cardiovascular health is present in <50% of children and <1% of adults, yet its prevalence from adolescence through adulthood has not been fully evaluated. This study characterizes the association of age with ideal cardiovascular health and compares these associations across sex, race/ethnicity, and SES subgroups., Methods: This study, conducted in 2020, analyzed adolescents and adults aged 12-79 years from the cross-sectional National Health and Nutrition Examination Survey 2005-2016 (N=38,706). Polynomial models were used to model the association of age with ideal cardiovascular health, defined using the American Heart Association's Life's Simple 7 criteria (scales 0-14, with higher values indicating better cardiovascular health)., Results: Mean cardiovascular health was lower with increasing age, starting in early adolescence and dropping to a nadir by age 60 years before stabilizing. At age 20 years, only 45% of adults had ideal cardiovascular health (≥5 ideal cardiovascular health metrics), and >50% of adults had poor cardiovascular health (≤2 ideal cardiovascular health metrics) at age 53 years. Women had higher mean cardiovascular health than men in early life but lower mean cardiovascular health from age 60 years onward. Mean cardiovascular health scores were highest for non-Hispanic White and higher-income adults and lowest for non-Hispanic Black and low-income adults across all ages. Mean cardiovascular health scores fell from intermediate to poor levels approximately 30 years earlier for non-Hispanic Black than for non-Hispanic White adults and approximately 35 years earlier for low-income adults than in higher-income adults., Conclusions: Cardiovascular health scores are lower with increasing age from early adolescence through adulthood. Race/ethnicity and income disparities in cardiovascular health are observed at young ages and are more profound at older ages., (Copyright © 2021 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: Outcome and utilization quality measures are adjusted for patient case-mix including demographic characteristics and comorbid conditions to allow for comparisons between hospitals and health plans. However, controversy exists around whether and how to adjust for social risk factors., Objective: To assess an approach to incorporating social risk variables into a pediatric measure of utilization from the Pediatric Quality Measures Program (PQMP)., Methods: We used data from California Medicaid claims (2015-16) and Massachusetts All Payer Claims Database (2014-2015) to calculate health plan performance using measure specifications from the Pediatric Asthma Emergency Department Use measure. Health plan performance categories were assessed using mixed effect negative binomial models with and without adjustment for social risk factors, with both models adjusting for age, gender and chronic condition category. Mixed effects linear models were then used to compare patient social risk for health plans that changed performance categories to patient social risk for health plans that did not., Results: Of 133 health plans, serving 404,649 pediatric patients with asthma, 7% to 13% changed performance categories after social risk adjustment. Health plans that moved to higher performance categories cared for lower socioeconomic status (SES) patients whereas those that moved to lower performance categories cared for higher SES patients., Conclusions: Adjustment for social risk factors changed performance rankings on the PQMP Pediatric Asthma Emergency Department Use measure for a substantial number of health plans. Some health plans caring for higher risk patients performed more poorly when social risk factors were not included in risk adjustment models. In light of this, social risk factors are incorporated into the National Quality Forum-endorsed measure; whether to incorporate social risk factors into pediatric quality measures will differ depending on the use case., (Copyright © 2021 Academic Pediatric Association. Published by Elsevier Inc. All rights reserved.)

Objectives: The relationship between pediatrician availability and emergency department (ED) attendance is uncertain. We determined whether children in counties with more pediatricians had fewer ED visits., Methods: We conducted a cross-sectional study of all ED visits among children younger than 18 years from 6 states. We obtained ED visit incidences by county and assessed the relationship to pediatrician density (pediatricians per 1000 children). Possible confounders included state, presence of an urgent care facility in the county, urban-rural status, and quartile of county-level characteristics: English-speaking, Internet access, White race, socioeconomic status, and public insurance. We estimated county-level changes in incidence by pediatrician density adjusting for state and separately for all possible confounders., Results: Each additional pediatrician per 1000 children was associated with a 13.7% (95% confidence interval, -19.6% to -7.5%) decrease in ED visits in the state-adjusted model. In the full model, there was no association (-1.4%, 95% confidence interval, -7.2% to 4.8%). The presence of an urgent care, higher socioeconomic status score, urban status, and higher proportions of White race and nonpublic insurance were each associated with decreased ED visit rates., Conclusions: Pediatrician density is not associated with decreased ED visits after adjusting for other county demographic factors. Increasing an area's availability of pediatricians may not affect ED attendance., Competing Interests: Disclosure: The authors declare no conflict of interest., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Objectives: We sought to evaluate trends in pediatric inpatient unit capacity and access and to measure pediatric inpatient unit closures across the United States., Methods: We performed a retrospective study of 4720 US hospitals using the 2008-2018 American Hospital Association survey. We used linear regression to describe trends in pediatric inpatient unit and PICU capacity. We compared trends in pediatric inpatient days and bed counts by state. We examined changes in access to care by calculating distance to the nearest pediatric inpatient services by census block group. We analyzed hospital characteristics associated with pediatric inpatient unit closure in a survival model., Results: Pediatric inpatient units decreased by 19.1% (34 units per year; 95% confidence interval [CI] 31 to 37), and pediatric inpatient unit beds decreased by 11.8% (407 beds per year; 95% CI 347 to 468). PICU beds increased by 16.0% (66.9 beds per year; 95% CI 53 to 81), primarily at children's hospitals. Rural areas experienced steeper proportional declines in pediatric inpatient unit beds (-26.1% vs -10.0%). Most states experienced decreases in both pediatric inpatient unit beds (median state -18.5%) and pediatric inpatient days (median state -10.0%). Nearly one-quarter of US children experienced an increase in distance to their nearest pediatric inpatient unit. Low-volume pediatric units and those without an associated PICU were at highest risk of closing., Conclusions: Pediatric inpatient unit capacity is decreasing in the United States. Access to inpatient care is declining for many children, particularly those in rural areas. PICU beds are increasing, primarily at large children's hospitals. Policy and surge planning improvements may be needed to mitigate the effects of these changes., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2021 by the American Academy of Pediatrics.)

Importance: Congenital heart disease (CHD) carries significant health care costs and out-of-pocket expenses for families. Little is known about how financial hardship because of medical bills affects families' access to essential needs or medical care., Objective: To assess the national prevalence of financial hardship because of medical bills among families of children with CHD in the US and the association of financial hardship with adverse outcomes., Design, Setting, and Participants: This cross-sectional survey study used data on children 17 years and younger with self-reported CHD from the National Health Interview Survey of US households between 2011 and 2017. Data were analyzed from March 2019 to April 2020., Exposures: Financial hardship because of medical bills was classified into 3 categories: no financial hardship, financial hardship but able to pay medical bills, and unable to pay medical bills., Main Outcomes and Measures: Food insecurity, delayed care because of cost, and cost-related medication nonadherence., Results: Of 188 families of children with CHD (weighted sample of 151 537 families), 48.9% reported some financial hardship because of medical bills, with 17.0% being unable to pay their medical bills at all. Compared with those who denied financial hardships because of medical bills, families who were unable to pay their medical bills reported significantly higher rates of food insecurity (61.8% [SE, 11.0] vs 13.6% [SE, 4.0]; P < .001) and delays in care because of cost (26.2% [SE, 10.4] vs 4.8% [SE, 2.5]; P = .002). Reported medication adherence did not differ across financial hardship groups. After adjusting for age, race/ethnicity, and maternal education, the differences between the groups persisted. The association of financial hardship with adverse outcomes was stronger among patients with private insurance than those with Medicaid., Conclusions and Relevance: In this study, financial hardship because of medical bills was common among families of children with CHD and was associated with high rates of food insecurity and delays in care because of cost, suggesting possible avenues for intervention.

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.)

Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose.

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: Children insured by Medicaid have higher readmission rates than privately insured children. However, little is known about whether this disparity has changed over time., Methods: Data from the 2010 to 2017 Healthcare Cost and Utilization Project Nationwide Readmissions Database were used to compare trends in 30-day readmission rates for children insured by Medicaid and private insurers. Patient-level crude and risk-adjusted readmission rates were compared by using Poisson regression. Hospital-level risk-adjusted readmission rates were compared between Medicaid- and privately insured patients within a hospital by using linear regression., Results: Approximately 60% of pediatric admissions were covered by Medicaid. From 2010 to 2017, the percentage of children with a complex or chronic condition increased for both Medicaid- and privately insured patients. Readmission rates were consistently higher for Medicaid beneficiaries from 2010 to 2017. Readmission rates declined slightly for both Medicaid- and privately insured patients; however, they declined faster for privately insured patients (rate ratio: 0.988 [95% confidence interval: 0.986-0.989] vs 0.995 [95% confidence interval: 0.994-0.996], P for interaction <.001]). After adjustment, readmission rates for Medicaid- and privately insured patients declined at a similar rate ( P for interaction = .87). Risk-adjusted hospital readmission rates were also consistently higher for Medicaid beneficiaries. The within-hospital difference in readmission rates for Medicaid versus privately insured patients remained stable over time (slope for difference: 0.015 [SE 0.011], P = .019)., Conclusions: Readmission rates for Medicaid- and privately insured pediatric patients declined slightly from 2010 to 2017 but remained substantially higher among Medicaid beneficiaries suggesting a persistence of the disparity by insurance status., 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.)

Objective: To determine the correlation between hospital 30-day risk-standardized readmission rates (RSRRs) in elderly adults and those in nonelderly adults and children., Data Sources/study Setting: US hospitals (n = 1760 hospitals admitting adult patients and 235 hospitals admitting both adult and pediatric patients) in the 2013-2014 Nationwide Readmissions Database., Study Design: Cross-sectional analysis comparing 30-day RSRRs for elderly adult (≥65 years), middle-aged adult (40-64 years), young adult (18-39 years), and pediatric (1-17 years) patients., Principal Findings: Hospital elderly adult RSRRs were strongly correlated with middle-aged adult RSRRs (Pearson R 2 .69 [95% confidence interval (CI) 0.66-0.71]), moderately correlated with young adult RSRRs (Pearson R 2 .44 [95% CI 0.40-0.47]), and weakly correlated with pediatric RSRRs (Pearson R 2 .28 [95% CI 0.17-0.38]). Nearly identical findings were observed with measures of interquartile agreement and Kappa statistics. This stepwise relationship between age and strength of correlation was consistent across every hospital characteristic., Conclusions: Hospital readmission rates in elderly adults, which are currently used for public reporting and hospital comparisons, may reflect broader hospital readmission performance in middle-aged and young adult populations; however, they are not reflective of hospital performance in pediatric populations., (© Health Research and Educational Trust.)

Importance: The US Centers for Medicare and Medicaid Services recently released an updated national coverage determination proposal for transcatheter aortic valve replacement (TAVR) that maintains a focus on hospital TAVR volume and percutaneous coronary intervention (PCI) volume, and the national coverage determination for transcatheter mitral valve repair (TMVr) also has PCI volume requirements. However, the associations between hospital PCI volume and TAVR and TMVr outcomes are unknown., Objective: To investigate whether hospital inpatient PCI volume is associated with rates of risk-adjusted in-hospital mortality and 30-day hospital readmission after TAVR and TMVr., Design, Setting, and Participants: This population-based cross-sectional study of the 2016 Nationwide Readmissions Database included procedures completed in hospitals with a minimum of 5 TAVR or 5 TMVr procedures between January 1, 2016, and November 30, 2016., Exposures: Hospitals were divided into quartiles based on annual inpatient PCI volumes., Main Outcomes and Measures: Primary outcomes were in-hospital mortality and 30-day readmission rates. The associations between hospital inpatient PCI quartile and outcomes were evaluated using Kruskal-Wallis tests. Risk adjustment for in-hospital mortality rates was done through inclusion of variables based on the Elixhauser comorbidity classification, and risk adjustment for 30-day readmission rates was done in accordance with the Hospital-Wide Readmission Measure methodology used by the Centers for Medicare and Medicaid Services for public reporting., Results: There were 283 hospitals that performed at least 5 TAVRs, with a median inpatient PCI volume of 386 (interquartile range, 299-571) procedures, and 125 hospitals that performed at least 5 TMVr procedures, with a median inpatient PCI volume of 451 (interquartile range, 326-651) procedures. There was no association between hospital inpatient PCI volume and median TAVR risk-standardized in-hospital mortality (median [IQR] rates: bottom quartile, 1.82% [1.77%-1.90%]; second quartile, 1.81% [1.76%-1.86%]; third quartile, 1.81% [1.75%-1.90%]; top quartile, 1.82% [1.76%-1.91%]; P = .75) or the 30-day readmission (median [IQR] rates: bottom quartile, 13.6% [13.2%-14.3%]; second quartile, 13.3% [12.7%-14.0%]; third quartile, 13.5% [12.7%-14.3%]; top quartile, 13.8% [12.8%-14.3%]; P = .10) rates. Similarly, there was no association between hospital inpatient PCI volume and median TMVr risk-standardized in-hospital mortality rates (median [IQR] rates: bottom quartile, 1.84% [1.47%-2.53%]; second quartile, 1.65% [1.21%-3.02%]; third quartile, 1.80% [1.52%-3.58%]; top quartile, 1.76% [1.33%-4.20%]; P = .71) or 30-day readmission rates (median [IQR] rates: bottom quartile, 13.4% [13.1%-13.6%]; second quartile, 13.1% [12.9%-13.5%]; third quartile, 13.1% [12.9%-13.5%]; top quartile, 13.3% [12.8%-13.6%]; P = .30)., Conclusions and Relevance: In this study, there was no association between inpatient PCI volume and TAVR or TMVr outcomes. Further evidence is needed to support inclusion of PCI volume minimums in national coverage determination requirements for hospital TAVR and TMVr programs.

Background: Fetal aortic valvuloplasty (FAV) may prevent progression of midgestation aortic stenosis to hypoplastic left heart syndrome. However, FAV has well-established risks, and its survival benefit remains unknown. Our primary aim was to determine whether FAV for midgestation aortic stenosis increases survival from fetal diagnosis to age 6 years., Methods and Results: We performed a retrospective analysis of 143 fetuses who underwent FAV from 2000 to 2017 and a secondary analysis of the Pediatric Heart Network Single Ventricle Reconstruction trial. Using these results, we developed a decision model to estimate probability of transplant-free survival from fetal diagnosis to age 6 years and postnatal restricted mean transplant-free survival time. FAV was technically successful in 84% of 143 fetuses with fetal demise in 8%. Biventricular circulation was achieved in 50% of 111 live-born infants with successful FAV but in only 16% of the 19 patients with unsuccessful FAV. The model projected overlapping probabilities of transplant-free survival to age 6 years at 75% (95% CI, 67%-82%) with FAV versus 72% (95% CI, 61%-82%) with expectant fetal management, resulting in a restricted mean transplant-free survival time benefit of 1.2 months. When limiting analyses to the improved FAV experience since 2009 to reflect current practice, (probability of technical success [94%], fetal demise [4%], and biventricular circulation [66%]), the model projected that FAV increased the probability of survival to age 6 years to 82% (95% CI, 73%-89%). Expectant management is favored if risk of fetal demise exceeded 12% or probability of biventricular circulation fell below 26%, but FAV remained favored over plausible recent range of technical success., Conclusions: Our model suggests that FAV provides a modest, medium-term survival benefit over expectant fetal management. Appropriate patient selection and low risk of fetal demise with FAV are critical factors for obtaining a survival benefit.

Objective: To evaluate the association of neighborhood socioeconomic status (SES) with time to intravenous immunoglobulin treatment, length of stay (LOS), and coronary artery aneurysms (CAAs) in patients with Kawasaki disease., Study Design: We examined the relationship of SES in 915 patients treated at a large academic center between 2000 and 2017. Neighborhood SES was measured using a US census-based score derived from 6 measures related to income, education, and occupation. Linear and logistic regression were used to examine the association of SES with number of days of fever at time of treatment, LOS, and CAA., Results: Patients in the lowest SES quartile were treated later than patients with greater SES (7 [IQR 5, 9] vs 6 [IQR 5, 8] days, P = .01). Patients in the lowest SES quartile were more likely to be treated after 10 days of illness, with an OR 1.9 (95% CI 1.3-2.8). In multivariable analysis, SES remained an independent predictor of the number of days of fever at time of treatment (P = .01). Patients in the lowest SES quartile had longer LOS than patients with greater SES (3 [IQR 2, 5] vs 3 [IQR 2, 4], P = .007). In subgroup analysis of white children, those in the lowest SES quartile vs quartiles 2-4 were more likely to develop large/giant CAA 17 (12%) vs 30 (6%), P = .03., Conclusions: Lower SES is associated with delayed treatment, prolonged LOS, and increased risk of large/giant CAA. Novel approaches to diagnosis and education are needed for children living in low-SES neighborhoods., (Copyright © 2019 Elsevier Inc. All rights reserved.)

Importance: Better prediction of major bleeding after percutaneous coronary intervention (PCI) may improve clinical decisions aimed to reduce bleeding risk. Machine learning techniques, bolstered by better selection of variables, hold promise for enhancing prediction., Objective: To determine whether machine learning techniques better predict post-PCI major bleeding compared with the existing National Cardiovascular Data Registry (NCDR) models., Design, Setting, and Participants: This comparative effectiveness study used the NCDR CathPCI Registry data version 4.4 (July 1, 2009, to April 1, 2015), machine learning techniques were used (logistic regression with lasso regularization and gradient descent boosting [XGBoost, version 0.71.2]), and output was then compared with the existing simplified risk score and full NCDR models. The existing models were recreated, and then performance was evaluated through additional techniques and variables in a 5-fold cross-validation in analysis conducted from October 1, 2015, to October 27, 2017. The setting was retrospective modeling of a nationwide clinical registry of PCI. Participants were all patients undergoing PCI. Percutaneous coronary intervention procedures were excluded if they were not the index PCI of admission, if the hospital site had missing outcomes measures, or if the patient underwent subsequent coronary artery bypass grafting., Exposures: Clinical variables available at admission and diagnostic coronary angiography data were used to determine the severity and complexity of presentation., Main Outcomes and Measures: The main outcome was in-hospital major bleeding within 72 hours after PCI. Results were evaluated by comparing C statistics, calibration, and decision threshold-based metrics, including the F score (harmonic mean of positive predictive value and sensitivity) and the false discovery rate., Results: The post-PCI major bleeding rate among 3 316 465 procedures (patients' median age, 65 years; interquartile range, 56-73 years; 68.1% male) was 4.5%. The existing full model achieved a mean C statistic of 0.78 (95% CI, 0.78-0.78). The use of XGBoost and full range of selected variables achieved a C statistic of 0.82 (95% CI, 0.82-0.82), with an F score of 0.31 (95% CI, 0.30-0.31). XGBoost correctly identified an additional 3.7% of cases identified as high risk who experienced a bleeding event and an overall improvement of 1.0% of cases identified as low risk who did not experience a bleeding event. The data-driven decision threshold helped improve the false discovery rate of the existing techniques. The existing simplified risk score model improved the false discovery rate from more than 90% to 78.7%. Modifying the model and the data decision threshold improved this rate from 78.7% to 73.4%., Conclusions and Relevance: Machine learning techniques improved the prediction of major bleeding after PCI. These techniques may help to better identify patients who would benefit most from strategies to reduce bleeding risk.

Background: Health reform and policy initiatives over the last 2 decades have led to significant changes in pediatric clinical practice. However, little is known about recent trends in pediatric hospitalizations and readmissions at a national level., Methods: Data from the 2010-2016 Healthcare Cost and Utilization Project Nationwide Readmissions Database and National Inpatient Sample were analyzed to characterize patient-level and hospital-level trends in annual pediatric (ages 1-17 years) admissions and 30-day readmissions. Poisson regression was used to evaluate trends in pediatric readmissions over time., Results: From 2010 to 2016, the total number of index admissions decreased by 21.3%, but the percentage of admissions for children with complex chronic conditions increased by 5.7%. Unadjusted pediatric 30-day readmission rates increased over time from 6.26% in 2010 to 7.02% in 2016 with a corresponding increase in numbers of admissions for patients with complex chronic conditions. When stratified by complex or chronic conditions, readmission rates declined or remained stable across patient subgroups. Mean risk-adjusted hospital readmission rates increased over time overall (6.46% in 2010 to 7.14% in 2016) and in most hospital subgroups but decreased over time in metropolitan teaching hospitals., Conclusions: Pediatric admissions declined from 2010 to 2016 as 30-day readmission rates increased. The increase in readmission rates was associated with greater numbers of admissions for children with chronic conditions. Hospitals serving pediatric patients need to account for the rising complexity of pediatric admissions and develop strategies for reducing readmissions in this high-risk population., Competing Interests: POTENTIAL CONFLICT OF INTEREST: The authors have indicated they have no potential conflicts of interest to disclose., (Copyright © 2019 by the American Academy of Pediatrics.)

Objective: To evaluate and compare readmission causes and timing within the first 30 days after hospitalization for 3 acute and 3 chronic common pediatric conditions., Study Design: Data from the 2013 to 2014 Nationwide Readmissions Database were used to examine the daily percentage of readmissions occurring on days 1-30 and the leading causes of readmission after hospitalization for 3 acute (appendicitis, bronchiolitis/croup, and gastroenteritis) and 3 chronic (asthma, epilepsy, and sickle cell) conditions for patients aged 1-17 years (n = 2 753 488). Data were analyzed using Cox proportional hazards regression., Results: The 30-day readmission rates ranged from 2.6% (SE, 0.1) after hospitalizations for appendectomy to 19.1% (SE, 0.5) after hospitalizations for sickle cell anemia. More than 50% of 30-day readmissions after acute conditions occurred within 15 days after discharge, whereas readmissions after chronic conditions occurred more uniformly throughout the 30 days after discharge. Higher numbers of patient comorbidities were associated with increased risk of readmission at days 1-7, 8-15, and 16-30 after discharge for all conditions examined. Most 30-day readmissions after chronic conditions were for the same diagnosis or closely related conditions as the index admission (67% for asthma, 65% for seizure disorder, and 82% for sickle cell anemia) in contrast with 50% or fewer readmissions after acute conditions (46% for appendectomy, 47% for bronchiolitis/croup, and 19% for gastroenteritis)., Conclusions: The timing and causes of pediatric readmissions vary greatly across pediatric conditions. To be effective, strategies for reducing readmissions need to account for the index diagnosis to better target the highest risk period and causes for readmission., (Copyright © 2018 Elsevier Inc. All rights reserved.)

Background: Familial hypercholesterolemia (FH) and other extreme elevations in low-density lipoprotein cholesterol significantly increase the risk of atherosclerotic cardiovascular disease; however, recent data suggest that prescription rates for statins remain low in these patients. National rates of screening, awareness, and treatment with statins among individuals with FH or severe dyslipidemia are unknown., Methods: Data from the 1999 to 2014 National Health and Nutrition Examination Survey were used to estimate prevalence rates of self-reported screening, awareness, and statin therapy among US adults (n=42 471 weighted to represent 212 million US adults) with FH (defined using the Dutch Lipid Clinic criteria) and with severe dyslipidemia (defined as low-density lipoprotein cholesterol levels ≥190 mg/dL). Logistic regression was used to identify sociodemographic and clinical correlates of hypercholesterolemia awareness and statin therapy., Results: The estimated US prevalence of definite/probable FH was 0.47% (standard error, 0.03%) and of severe dyslipidemia was 6.6% (standard error, 0.2%). The frequency of cholesterol screening and awareness was high (>80%) among adults with definite/probable FH or severe dyslipidemia; however, statin use was uniformly low (52.3% [standard error, 8.2%] of adults with definite/probable FH and 37.6% [standard error, 1.2%] of adults with severe dyslipidemia). Only 30.3% of patients with definite/probable FH on statins were taking a high-intensity statin. The prevalence of statin use in adults with severe dyslipidemia increased over time (from 29.4% to 47.7%) but not faster than trends in the general population (from 5.7% to 17.6%). Older age, health insurance status, having a usual source of care, diabetes mellitus, hypertension, and having a personal history of early atherosclerotic cardiovascular disease were associated with higher statin use., Conclusions: Despite the high prevalence of cholesterol screening and awareness, only ≈50% of adults with FH are on statin therapy, with even fewer prescribed a high-intensity statin; young and uninsured patients are at the highest risk for lack of screening and for undertreatment. This study highlights an imperative to improve the frequency of cholesterol screening and statin prescription rates to better identify and treat this high-risk population. Additional studies are needed to better understand how to close these gaps in screening and treatment., (© 2018 American Heart Association, Inc.)

Introduction: Young adults with hyperlipidemia, hypertension, and diabetes are at increased risk of developing heart disease later in life. Despite emphasis on early screening, little is known about awareness of these risk factors in young adulthood., Methods: Data from the nationally representative cross-sectional National Health and Nutrition Examination Survey 2011-2014 were analyzed in 2017 to estimate the prevalence of self-reported awareness of hypercholesterolemia, hypertension, and diabetes in U.S. young adults aged 18-39 years (n=11,083). Prevalence estimates were weighted to population estimates using survey procedures, and predictors of awareness were identified using weighted logistic regression., Results: Among U.S. young adults, the prevalence of hypercholesterolemia, hypertension, and diabetes was 8.8% (SE=0.4%); 7.3% (SE=0.3%); and 2.6% (SE=0.2%), respectively. The prevalence of borderline high cholesterol, blood pressure, and blood glucose were substantially higher (21.6% [SE= 0.6%]; 26.9% [SE=0.7%]; and 18.9% [SE=0.6%], respectively). Awareness was low for hypercholesterolemia (56.9% [SE=2.4%]) and moderate for hypertension and diabetes (62.7% [SE=2.4%] and 70.0% [SE=2.7%]); <25% of young adults with borderline levels of these risk factors were aware of their risk. Correlates of risk factor awareness included older age, insurance status, family income above the poverty line, U.S. origin, having a usual source of health care, and the presence of comorbid conditions., Conclusions: Despite the high prevalence of cardiovascular risk factors in U.S. young adults, awareness remains less than ideal. Interventions that target access may increase awareness and facilitate achieving treatment goals in young adults., (Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

With the advent of international precision medicine initiatives, it is important to evaluate existing large-scale studies to inform future investigation. This study sought to review, describe, and evaluate all large-scale cardiovascular disease (CVD) studies completed in China. We undertook a review of all large-scale CVD studies completed in China to describe and evaluate their design, implementation, and dissemination in published medical reports. Seventeen studies met the inclusion criteria. There were substantial variations in study design, geographic location, and data collection. Most studies lacked standard study names, did not publish their methods, and provided no publicly available data. Few studies included underdeveloped regions or minority groups. Most published articles contained only descriptions of the average population at risk of CVD, and no study predicted individual CVD risk or identified people at high risk. Future CVD studies in China may need to incorporate stronger systematic data collection methods, increased data transparency, clearer documentation, and standard study names to most gain from China's burgeoning field of CVD research., (Copyright © 2017 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.)

Background: Children with single ventricle heart disease require frequent interventions and follow-up. Low socioeconomic status (SES) may limit access to high-quality care and place these children at risk for poor long-term outcomes., Methods and Results: Data from the SVR (Pediatric Heart Network Single Ventricle Reconstruction Trial Public Use) data set were used to examine the relationship of US neighborhood SES with 30-day and 1-year mortality or cardiac transplantation and length of stay among neonates undergoing the Norwood procedure (n=525). Crude rates of death or transplantation at 1 year after Norwood were highest for patients living in neighborhoods with low SES (lowest tertile 37.0% versus middle tertile 31.0% versus highest tertile 23.6%, P =0.024). After adjustment for patient demographics, birth characteristics, and anatomy, patients in the highest SES tertile had significantly lower risk of death or transplant than patients in the lowest SES tertile (hazard ratio 0.62, 95% confidence interval, 0.40, 0.96). When SES was examined continuously, the hazard of 1-year death or transplant decreased steadily with increasing neighborhood SES. Hazard ratios for 30-day transplant-free survival and 1-year transplant-free survival were similar in magnitude. There were no significant differences in length of stay following the Norwood procedure by SES., Conclusions: Low neighborhood SES is associated with worse 1-year transplant-free survival after the Norwood procedure, suggesting that socioeconomic and environmental factors may be important determinants of outcome in critical congenital heart disease. Future studies should investigate aspects of SES and environment amenable to intervention., Clinical Trial Registration: URL:http://www.clinicaltrials.gov> http://www.clinicaltrials.gov. Unique identifier: NCT00115934., (© 2018 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley.)

Aims: Young women with acute myocardial infarction (AMI) have a higher risk of adverse outcomes than men. However, it is unclear how young women with AMI are different from young men across a spectrum of characteristics. We sought to compare young women and men at the time of AMI on six domains of demographic and clinical factors in order to determine whether they have distinct profiles., Methods and Results: Using data from Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients (VIRGO), a prospective cohort study of women and men aged ⩽55 years hospitalized for AMI ( n = 3501) in the United States and Spain, we evaluated sex differences in demographics, healthcare access, cardiovascular risk and psychosocial factors, symptoms and pre-hospital delay, clinical presentation, and hospital management for AMI. The study sample included 2349 (67%) women and 1152 (33%) men with a mean age of 47 years. Young women with AMI had higher rates of cardiovascular risk factors and comorbidities than men, including diabetes, congestive heart failure, chronic obstructive pulmonary disease, renal failure, and morbid obesity. They also exhibited higher levels of depression and stress, poorer physical and mental health status, and lower quality of life at baseline. Women had more delays in presentation and presented with higher clinical risk scores on average than men; however, men presented with higher levels of cardiac biomarkers and more classic electrocardiogram findings. Women were less likely to undergo revascularization procedures during hospitalization, and women with ST segment elevation myocardial infarction were less likely to receive timely primary reperfusion., Conclusions: Young women with AMI represent a distinct, higher-risk population that is different from young men.

Introduction: Hospitalization for acute myocardial infarction (AMI) is an opportune time to counsel smokers to quit. Studies have demonstrated lower short-term mortality for counseled versus non-counseled smokers; yet, little is known about the long-term survival benefits of post-AMI smoking-cessation counseling (SCC)., Methods: Data from the Cooperative Cardiovascular Project, a prospective cohort study of elderly patients with AMI between 1994 and 1996 with >17 years of follow-up, were used to evaluate the association of SCC with short- and long-term mortality in smokers with AMI. Life expectancy and years of potential life gained were used to quantify the long-term survival benefits of SCC. Cox proportional hazards models with exponential extrapolation were used to estimate life expectancy., Results: The analysis included 13,815 smokers, of whom 5,695 (41.2%) received SCC. Non-counseled smokers had higher crude mortality than counseled smokers over all 17 years of follow-up. After adjustment for patient and hospital characteristics, SCC was associated with a 22.6% lower 30-day mortality and a 7.5% lower mortality over 17 years. These survival differences produced higher life expectancy estimates for counseled smokers than non-counseled smokers at all ages, which resulted in average gains in life years of 0.13 (95% CI=-0.31, 0.56) to 0.58 (95% CI=0.25, 0.91) years, with the largest gains observed in older smokers., Conclusions: SCC is associated with longer life expectancy and gains in life years in elderly smokers with AMI, supporting the importance of post-AMI counseling efforts., (Copyright © 2016 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.)

Background: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance prediction. We sought to compare the effectiveness of several machine learning algorithms for predicting readmissions., Methods and Results: Using data from the Telemonitoring to Improve Heart Failure Outcomes trial, we compared the effectiveness of random forests, boosting, random forests combined hierarchically with support vector machines or logistic regression (LR), and Poisson regression against traditional LR to predict 30- and 180-day all-cause readmissions and readmissions because of heart failure. We randomly selected 50% of patients for a derivation set, and a validation set comprised the remaining patients, validated using 100 bootstrapped iterations. We compared C statistics for discrimination and distributions of observed outcomes in risk deciles for predictive range. In 30-day all-cause readmission prediction, the best performing machine learning model, random forests, provided a 17.8% improvement over LR (mean C statistics, 0.628 and 0.533, respectively). For readmissions because of heart failure, boosting improved the C statistic by 24.9% over LR (mean C statistic 0.678 and 0.543, respectively). For 30-day all-cause readmission, the observed readmission rates in the lowest and highest deciles of predicted risk with random forests (7.8% and 26.2%, respectively) showed a much wider separation than LR (14.2% and 16.4%, respectively)., Conclusions: Machine learning methods improved the prediction of readmission after hospitalization for heart failure compared with LR and provided the greatest predictive range in observed readmission rates., (© 2016 American Heart Association, Inc.)

Background: Financial barriers to health care are associated with worse outcomes following acute myocardial infarction (AMI). Yet, it is unknown whether the prevalence of financial barriers and their relationship with post-AMI outcomes vary by sex among young adults., Methods and Results: We assessed sex differences in patient-reported financial barriers among adults aged <55 years with AMI using data from the Variation in Recovery: Role of Gender on Outcomes of Young AMI Patients study. We examined the prevalence of financial barriers and their association with health status 12 months post-AMI. Among 3437 patients, more women than men reported financial barriers to medications (22.3% vs 17.2%; P=0.001), but rates of financial barriers to services were similar (31.3% vs 28.9%; P=0.152). In multivariable linear regression models adjusting for baseline health, psychosocial status, and clinical characteristics, compared with no financial barriers, women and men with financial barriers to services and medications had worse mental functional status (Short Form-12 mental health score: mean difference [MD]=-3.28 and -3.35, respectively), greater depressive symptomatology (Patient Health Questionnaire-9: MD, 2.18 and 2.16), lower quality of life (Seattle Angina Questionnaire-Quality of Life: MD, -4.98 and -7.66), and higher perceived stress (Perceived Stress Score: MD, 3.76 and 3.90; all P<0.05). There was no interaction between sex and financial barriers., Conclusions: Financial barriers to care are common in young patients with AMI and associated with worse health outcomes 1 year post-AMI. Whereas women experienced more financial barriers than men, the association did not vary by sex. These findings emphasize the importance of addressing financial barriers to recovery post-AMI in young adults., (© 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.)

Background: Thirty-day risk-standardized mortality rates after acute myocardial infarction are commonly used to evaluate and compare hospital performance. However, it is not known whether differences among hospitals in the early survival of patients with acute myocardial infarction are associated with differences in long-term survival., Methods: We analyzed data from the Cooperative Cardiovascular Project, a study of Medicare beneficiaries who were hospitalized for acute myocardial infarction between 1994 and 1996 and who had 17 years of follow-up. We grouped hospitals into five strata that were based on case-mix severity. Within each case-mix stratum, we compared life expectancy among patients admitted to high-performing hospitals with life expectancy among patients admitted to low-performing hospitals. Hospital performance was defined by quintiles of 30-day risk-standardized mortality rates. Cox proportional-hazards models were used to calculate life expectancy., Results: The study sample included 119,735 patients with acute myocardial infarction who were admitted to 1824 hospitals. Within each case-mix stratum, survival curves of the patients admitted to hospitals in each risk-standardized mortality rate quintile separated within the first 30 days and then remained parallel over 17 years of follow-up. Estimated life expectancy declined as hospital risk-standardized mortality rate quintile increased. On average, patients treated at high-performing hospitals lived between 0.74 and 1.14 years longer, depending on hospital case mix, than patients treated at low-performing hospitals. When 30-day survivors were examined separately, there was no significant difference in unadjusted or adjusted life expectancy across hospital risk-standardized mortality rate quintiles., Conclusions: In this study, patients admitted to high-performing hospitals after acute myocardial infarction had longer life expectancies than patients treated in low-performing hospitals. This survival benefit occurred in the first 30 days and persisted over the long term. (Funded by the National Heart, Lung, and Blood Institute and the National Institute of General Medical Sciences Medical Scientist Training Program.).