Social Determinants of Disparities in Mortality Outcomes in Congenital Heart Disease: A Systematic Review and Meta-Analysis

The Child Opportunity Index and Children's Health: A Meta-Analysis

CONTEXT

Quantifying the impact of place on pediatric health is difficult given the diverse methodologies used to measure place-based social determinants. However, the Child Opportunity Index (COI) is increasingly used to study these relationships.

OBJECTIVE

To synthesize associations between the COI and pediatric health.

DATA SOURCES

Fifteen databases, 4 gray literature sources, and diversitydatakids.org searched from 2014 to 2024.

STUDY SELECTION

US-based observational studies that evaluated children, the COI, and at least 1 pediatric health outcome.

DATA EXTRACTION

Protocol registered with PROSPERO (CRD42023418407). Random-effects models created pooled odds ratios (ORs) comparing very low/low COI to high/very high COI for mortality, emergency department (ED) use, and hospital use. Clinically relevant subgroups were explored.

RESULTS

Most studies (n = 61 of 85; 72%) reported inverse associations between the COI and an adverse outcome. Lower COI was associated with higher odds of mortality (OR, 1.50; 95% CI, 1.31-1.94; tau squared [τ2] = 0.045; 15 associations from 13 studies). Overall, ED visits were similar (OR, 1.38; 95% CI, 0.97-1.95; τ2 = 0.312; 10 associations from 6 studies), but the subgroup of all-cause ED visits were significantly higher among children with lower COI (OR, 1.66; 95% CI, 1.19-2.31; τ2 = 0.198; 7 associations from 5 studies). Select hospitalization subgroups (medical, surgical/trauma, and >30-day rehospitalizations) were significantly associated with COI, but not overall hospitalizations (OR, 1.15; 95% CI, 0.96-1.36; τ2 = 0.090; 12 studies).

LIMITATIONS

Meta-analyses were unadjusted.

CONCLUSIONS

Place is a risk factor for children's mortality and select measures of health care use. Shifting the focus from identifying place-based disparities to cocreating community-engaged strategies that mitigate disparities may effectively advance children's health equity.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Racial and Educational Isolation are Associated with Worse Outcomes in Congenital Heart Disease

Sociodemographic factors influence outcomes in children with congenital heart disease (CHD). We predict an association between measures of social isolation and outcomes in infants with complex CHD. These measures, racial (RI) and educational (EI) isolation range from 0 to 1, with 0 being no isolation and 1 being fully isolated within a specific population. We identified patients less than 1 year old undergoing CHD surgery in North Carolina from 2008 to 2013. We used negative binomial and logistic regression models to assess the case-mix adjusted associations between RI and EI and length of stay, complications, mortality, and resource utilization. We quantified the association of race with these indices and outcomes. We included 1217 infants undergoing CHD surgery. Black infants had increased LOS (p < 0.001), other complications (p = 0.03), and death (p = 0.02). RI up to 0.3 was associated with decreased outpatient encounters (p < 0.001). RI was associated with increased inpatient encounters RI up to 0.3 (p < 0.001) but decreased for RI beyond 0.3 (p = 0.01). There was an association with increased risk of one or more emergency department visits (p = 0.001) at higher levels of EI. Race and RI showed a cumulative effect with children with Black race and greater than median RI having increased LOS (p < 0.001) and fewer outpatient encounters (p = 0.02). RI, EI, and Black race are associated with poorer outcomes. Children with Black race and greater than median levels of RI are at the highest risk of poor outcomes. These differences may be caused by differential access to resources or community support.

Racial and Educational Isolation are Associated with Worse Outcomes in Congenital Heart Disease

Background

Sociodemographic factors influence outcomes in children with congenital heart disease (CHD). We predict an association between measures of social isolation and outcomes in infants with complex CHD. These measures, racial (RI) and educational (EI) isolation range from 0 to 1, with 0 being no isolation and 1 being fully isolated within a specific population.

Methods

We identified patients less than 1-year-old undergoing CHD surgery in North Carolina from 2008-2013. We used negative binomial and logistic regression models to assess the case-mix adjusted associations between RI and EI and length of stay, complications, mortality, and resource utilization. We quantified the association of race with these indices and outcomes.

Results

We included 1,217 infants undergoing CHD surgery. Black infants had increased LOS (p < 0.001), other complications (p = 0.03), and death (p = 0.02). RI up to 0.3 was associated with decreased outpatient encounters (p < 0.001). RI was associated with increased inpatient encounters RI up to 0.3 (p < 0.001) but decreased for RI beyond 0.3 (p = 0.01). There was an association with increased risk of one or more emergency department visits (p = 0.001) at higher levels EI. Race and RI showed a cumulative effect with children with Black race and greater than median RI having increased LOS (p < 0.001) and fewer outpatient encounters (p = 0.02).

Conclusions

RI, EI, and Black race are associated with poorer outcomes. Children with Black race and greater than median levels of RI are at the highest risk of poor outcomes. These differences may be caused by differential access to resources or community support.

Child Opportunity Index and Pediatric Extracorporeal Membrane Oxygenation Outcomes; the Role of Diagnostic Category

OBJECTIVES

To study the impact of social determinants of health (SDoH) on pediatric extracorporeal membrane oxygenation (ECMO) outcomes.

DESIGN, SETTING, AND PATIENTS

Retrospective study of children (< 18 yr) supported on ECMO (October 1, 2015 to March 1, 2021) using Pediatric Health Information System (44 U.S. children's hospitals). Patients were divided into five diagnostic categories: neonatal cardiac, pediatric cardiac, neonatal respiratory, pediatric respiratory, and sepsis. SDoH included the Child Opportunity Index (COI; higher indicates social advantage), race, ethnicity, payer, and U.S. region. Children without COI were excluded. Diagnostic category-specific clinical variables related to baseline health and illness severity were collected.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Children supported on ECMO experienced a 33% in-hospital mortality (2863/8710). Overall, children with lower COI, "other" race, Hispanic ethnicity, public insurance and from South or West regions had greater mortality. Associations between SDoH and ECMO outcomes differed between diagnostic cohorts. Bivariate analyses found that only pediatric cardiac patients had an association between COI or race and mortality. Multivariable logistic regression analyses examined relationships between SDoH, clinical variables and mortality within diagnostic categories. Pediatric cardiac patients had 5% increased odds of death (95% CI, 1.01-1.09) for every 10-point decrement in COI, while Hispanic ethnicity was associated with higher survival (adjusted odds ratio [aOR] 0.72 [0.57-0.89]). Children with heart disease from the highest COI quintile had less cardiac-surgical complexity and earlier cannulation. Independent associations with mortality were observed in sepsis for Black race (aOR 1.62 [1.06-2.47]) and other payer in pediatric respiratory patients (aOR 1.94 [1.23-3.06]).

CONCLUSIONS

SDoH are statistically associated with pediatric ECMO outcomes; however, associations differ between diagnostic categories. Influence of COI was observed only in cardiac patients while payer, race, and ethnicity results varied. Further research should investigate differences between diagnostic cohorts and age groups to understand drivers of inequitable outcomes.

Incidence and predictors of mortality among neonates with congenital heart disease in Ethiopia: a retrospective cohort study

BACKGROUND

Neonatal mortality poses a significant public health challenge in sub-Saharan Africa, with congenital heart disease emerging as the leading cause of morbidity and mortality among neonates, especially in countries like Ethiopia. Despite efforts to reduce neonatal mortality rates, Ethiopia continues to experience an increased mortality rate, particularly among neonates with congenital heart disease. This study aims to investigate the incidence and predictors of mortality in this vulnerable population within Ethiopia.

METHOD

A retrospective cohort study was conducted at an institution, involving 583 randomly selected neonates diagnosed with congenital heart disease. In the current study, the dependent variable was survival status. Data entry utilized EpiData data version 4.6, and analysis was performed using STATA version 16. Probability of death was compared using the log-rank test and Kaplan-Meier failure curve. Significant predictors were identified using bivariable and multivariate Cox regression. Model fitness and proportional hazard assumptions were evaluated using the Cox-Snell graph and Global test, respectively. Associations were assessed by adjusted hazard ratios with 95% confidence intervals.

RESULTS

The study participants were followed for 4844 days. The mortality rate was 9.9%. The incidence density was 11.9 per 1000 person-days of observation. Neonatal sepsis (AHR: 2.24; 95% CI [1.18-4.23]), cyanotic congenital heart disease (AHR: 3.49; 95% CI [1.93-6.28]), home delivery (AHR: 1.9; 95% CI [1.06-3.6]), maternal history of gestational diabetes mellitus (AHR: 1.94; 95% CI [1.04-3.61]), and having additional congenital malformations (AHR: 2.49; 95% CI [1.33-4.67]) were significant predictors for neonatal mortality.

CONCLUSION AND RECOMMENDATION

The incidence density of mortality was high compared to studies conducted in developed countries. Neonatal sepsis, type of congenital heart disease, place of delivery, maternal history of gestational diabetes mellitus, and having an additional congenital malformation were significant predictors of mortality among neonates with congenital heart disease. Therefore, healthcare providers should pay special attention to patients with identified predictors. Furthermore, the Federal Ministry of Health, stakeholders, and policymakers should collaborate to address this issue.

The Association of High-Quality Hospital Use on Health Care Outcomes for Pediatric Congenital Heart Defects in a Universal Health Care System

INTRODUCTION

Congenital heart disease (CHD) has an incidence of 0.8% to 1.2% worldwide, making it the most common birth defect. Researchers have compared high-volume to low-volume hospitals and found significant hospital-level variation in major complications, health resource utilization, and mortality after CHD surgery. In addition, researchers found critical CHD patients at low-volume/non-teaching facilities to be associated with higher odds of inpatient mortality when compared to CHD patients at high-volume/teaching hospitals (odds ratio 1.76). We examined the effects of high-quality hospital (HQH) use on health care outcomes and health care costs in pediatric CHD care using an instrumental variable (IV) approach.

MATERIALS AND METHODS

Using nationwide representative claim data from the United States Military Health System from 2016 to 2020, TRICARE beneficiaries with a diagnosis of CHD were tabulated based on relevant ICD-10 (International Classification of Diseases, 10th revision) codes. We examined the relationships between annual readmissions, annual emergency room (ER) use, and mortality and HQH use. We applied both the naive linear probability model (LPM), controlling for the observed patient and hospital characteristics, and the two-stage least squares (2SLS) model, accounting for the unobserved confounding factors. The differential distance between the patient and the closest HQH at the index date and the patient and nearest non-HQH was used as the IV. This protocol was approved by the Institutional Review Board at the University of Maryland, College Park (Approval Number: 1576246-2).

RESULTS

The naive LPM indicated that HQH use was associated with a higher probability of annual readmissions (marginal effect, 18%; 95% CI, 0.12 to 0.23). The naive LPM indicated that HQH use was associated with a higher probability of mortality (marginal effect, 2.2%; 95% CI, 0.01 to 0.03). Using the differential distance of closest HQH and non-HQH, we identified a significant association between HQH use and annual ER use (marginal effect, -14%; 95% CI, -0.24 to -0.03).

CONCLUSIONS

After controlling for patient-level and facility-level covariates and adjusting for endogeneity, (1) HQH use did not increase the probability of more than one admission post 1-year CHD diagnosis, (2) HQH use lowered the probability of annual ER use post 1-year CHD diagnosis, and (3) HQH use did not increase the probability of mortality post 1-year CHD diagnosis. Patients who may have benefited from utilizing HQH for CHD care did not, alluding to potential barriers to access, such as health insurance restrictions or lack of patient awareness. Although we used hospital quality rating for congenital cardiac surgery as reported by the Society of Thoracic Surgeons, the contributing data span a 4-year period and may not reflect real-time changes in center performance. Since this study focused on inpatient care within the first-year post-initial CHD diagnosis, it may not reflect the full range of health system utilization. It is necessary for clinicians and patient advocacy groups to collaborate with policymakers to promote the development of an overarching HQH designation authority for CHD care. Such establishment will facilitate access to HQH for military beneficiary populations suffering from CHD.

Addressing Disparities in Pediatric Congenital Heart Disease: A Call for Equitable Health Care

While significant progress has been made in reducing disparities within the US health care system, notable gaps remain. This article explores existing disparities within pediatric congenital heart disease care. Congenital heart disease, the most common birth defect and a leading cause of infant death, has garnered substantial attention, revealing certain disparities within the US health care system. Factors such as race, ethnicity, insurance coverage, socioeconomic status, and geographic location are all commonalities that significantly affect health disparities in pediatric congenital heart disease. This comprehensive review sheds light on disparities from diverse perspectives in pediatric care, demonstrates the inequities and inequalities leading to these disparities, presents effective solutions, and issues a call to action for providers, institutions, and the health care system. Recognizing and addressing these disparities is imperative for ensuring equitable care and enhancing the long-term well-being of children affected by congenital heart disease. Implementing robust, evidence-based frameworks that promote responsible and safe interventions is fundamental to enduring change.

Use of Latent Class Analysis to Predict Intensive Care Unit Admission and Mortality in Children with a Major Congenital Anomaly

OBJECTIVE

To define major congenital anomaly (CA) subgroups and assess outcome variability based on defined subgroups.

STUDY DESIGN

This population-based cohort study used registries in Denmark for children born with a major CA between January 1997 and December 2016, with follow-up until December 2018. We performed a latent class analysis (LCA) using child and family clinical and sociodemographic characteristics present at birth, incorporating additional variables occurring until age of 24 months. Cox proportional hazards regression models estimated hazard ratios (HRs) of pediatric mortality and intensive care unit (ICU) admissions for identified LCA classes.

RESULTS

The study included 27 192 children born with a major CA. Twelve variables led to a 4-class solution (entropy = 0.74): (1) children born with higher income and fewer comorbidities (55.4%), (2) children born to young mothers with lower income (24.8%), (3) children born prematurely (10.0%), and (4) children with multiorgan involvement and developmental disability (9.8%). Compared with those in Class 1, mortality and ICU admissions were highest in Class 4 (HR = 8.9, 95% CI = 6.4-12.6 and HR = 4.1, 95% CI = 3.6-4.7, respectively). More modest increases were observed among the other classes for mortality and ICU admissions (Class 2: HR = 1.7, 95% CI = 1.1-2.5 and HR = 1.3, 95% CI = 1.1-1.4, respectively; Class 3: HR = 2.5, 95% CI = 1.5-4.2 and HR = 1.5, 95% CI = 1.3-1.9, respectively).

CONCLUSIONS

Children with a major CA can be categorized into meaningful subgroups with good discriminative ability. These groupings may be useful for risk-stratification in outcome studies.

Racial and Ethnic Disparities in Health Care Usage and Death by Neighborhood Poverty Among Individuals With Congenital Heart Defects, 4 US Surveillance Sites, 2011 to 2013

BACKGROUND

Socioeconomic factors may lead to a disproportionate impact on health care usage and death among individuals with congenital heart defects (CHD) by race, ethnicity, and socioeconomic factors. How neighborhood poverty affects racial and ethnic disparities in health care usage and death among individuals with CHD across the life span is not well described.

METHODS AND RESULTS

Individuals aged 1 to 64 years, with at least 1 CHD-related International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code were identified from health care encounters between January 1, 2011, and December 31, 2013, from 4 US sites. Residence was classified into lower- or higher-poverty neighborhoods on the basis of zip code tabulation area from the 2014 American Community Survey 5-year estimates. Multivariable logistic regression models, adjusting for site, sex, CHD anatomic severity, and insurance-evaluated associations between race and ethnicity, and health care usage and death, stratified by neighborhood poverty. Of 31 542 individuals, 22.2% were non-Hispanic Black and 17.0% Hispanic. In high-poverty neighborhoods, non-Hispanic Black (44.4%) and Hispanic (47.7%) individuals, respectively, were more likely to be hospitalized (adjusted odds ratio [aOR], 1.2 [95% CI, 1.1-1.3]; and aOR, 1.3 [95% CI, 1.2-1.5]) and have emergency department visits (aOR, 1.3 [95% CI, 1.2-1.5] and aOR, 1.8 [95% CI, 1.5-2.0]) compared with non-Hispanic White individuals. In high poverty neighborhoods, non-Hispanic Black individuals with CHD had 1.7 times the odds of death compared with non-Hispanic White individuals in high-poverty neighborhoods (95% CI, 1.1-2.7). Racial and ethnic disparities in health care usage were similar in low-poverty neighborhoods, but disparities in death were attenuated (aOR for non-Hispanic Black, 1.2 [95% CI=0.9-1.7]).

CONCLUSIONS

Racial and ethnic disparities in health care usage were found among individuals with CHD in low- and high-poverty neighborhoods, but mortality disparities were larger in high-poverty neighborhoods. Understanding individual- and community-level social determinants of health, including access to health care, may help address racial and ethnic inequities in health care usage and death among individuals with CHD.

Untangling the Complex Associations between Socioeconomic and Demographic Characteristics and Prenatal Detection and Outcomes in Congenital Heart Disease

Recent literature has established a strong foundation examining the associations between socioeconomic/demographic characteristics and outcomes for congenital heart disease. These associations are found beginning in fetal life and influence rates of prenatal detection, access to timely and appropriate delivery room and neonatal interventions, and surgical and other early childhood outcomes. This review takes a broad look at the existing literature and identifies gaps in the current body of research, particularly as it pertains to disparities in the prenatal detection of congenital heart disease within the United States. It also proposes further research and interventions to address these health disparities.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Child Health Needs and the Pediatric Critical Care Medicine Workforce: 2020-2040

This article, focused on the current and future pediatric critical care medicine (PCCM) workforce, is part of a supplement in Pediatrics anticipating the future supply of the pediatric subspecialty workforce. It draws on information available in the literature, data from the American Board of Pediatrics, and findings from a model that estimates the future supply of pediatric subspecialists developed by the American Board of Pediatrics Foundation in collaboration with the Carolina Workforce Research Center at the University of North Carolina at Chapel Hill's Cecil G. Sheps Center for Health Services Research and Strategic Modeling and Analysis Ltd. A brief history of the field of PCCM is provided, followed by an in-depth examination of the current PCCM workforce and a subsequent evaluation of workforce forecasts from 2020 to 2040. Under baseline conditions, the PCCM workforce is expected to increase by 105% during the forecasted period, more than any other pediatric subspecialty. Forecasts are modeled under a variety of multifactorial conditions meant to simulate the effects of changes to the supply of PCCM subspecialists, with only modest changes observed. Future PCCM workforce demand is unclear, although some suggest an oversupply may exist and that market forces may correct this. The findings generate important questions regarding the future state of the PCCM workforce and should be used to guide trainees considering a PCCM career, subspecialty leaders responsible for hosting training programs, staffing ICUs, and governing bodies that oversee training program accreditation and subspecialist certification.

Social inequities impact infant mortality due to congenital heart disease

OBJECTIVES

To evaluate how educational, economic, and racial residential segregation may impact congenital heart disease infant mortality (CHD-IM).

STUDY DESIGN

This is a population-based US ecological study.

METHODS

This study evaluated linked live birth-infant death files from the National Center for Health Statistics for live births from 2006 to 2018 with cause of death attributed to CHD. Maternal race and education data were obtained from the live birth-infant death files, and income data were obtained from the American Community Survey. A spatial social polarization measure termed the Index of Concentration at the Extremes (ICE) was calculated and split by quintiles for maternal education, household income, and race for all US counties (n = 3142). The lowest quintile represents counties with highest concentration of disadvantaged groups (income < $25K, non-Hispanic Black, no high school degree). Proximity to a pediatric cardiac center (PCC) was also analyzed in a categorical manner based on whether each county was in a metropolitan area with a US News and World Report top 50 ranked PCC, a lower ranked PCC, or not proximal to any PCC.

RESULTS

Between 2006 and 2018, 17,489 infant deaths were due to CHD, an unadjusted CHD-IM of 0.33 deaths per 1000 live births. The risk of CHD-IM was 1.5 times greater among those in the lowest ICE-education quintile (0.41 [0.39-0.44] vs 0.28 deaths/1000 live births [0.27-0.29], P < 0.0001) and the lowest ICE-income quintile (0.44 [0.41-0.47] vs 0.29 [0.28-0.30], P < 0.0001) in comparison to those in the highest quintiles. CHD-IM increases with higher ICE-race value (counties with a higher concentration of non-Hispanic White mothers). However, after adjusting for proximity to a US News and World Report top 50 ranked PCC in the multivariable models, CHD-IM decreases with higher ICE-race value.

CONCLUSIONS

Counties with the highest concentration of lower-educated mothers and the highest concentration of low-income households were associated with higher rates of CHD-IM. Mortality as a function of race is more complicated and requires further investigation.

Neighborhood Childhood Opportunity, Race/Ethnicity, and Surgical Outcomes in Children With Congenital Heart Disease

BACKGROUND

Racial and ethnic disparities in outcomes for children with congenital heart disease (CHD) coexist with disparities in educational, environmental, and economic opportunity.

OBJECTIVES

We sought to determine the associations between childhood opportunity, race/ethnicity, and pediatric CHD surgery outcomes.

METHODS

Pediatric Health Information System encounters aged <18 years from 2016 to 2022 with International Classification of Diseases-10th edition codes for CHD and cardiac surgery were linked to ZIP code-level Childhood Opportunity Index (COI), a score of neighborhood educational, environmental, and socioeconomic conditions. The associations of race/ethnicity and COI with in-hospital surgical death were modeled with generalized estimating equations and formal mediation analysis. Neonatal survival after discharge was modeled by Cox proportional hazards.

RESULTS

Of 54,666 encounters at 47 centers, non-Hispanic Black (Black) (OR: 1.20; P = 0.01), Asian (OR: 1.75; P < 0.001), and Other (OR: 1.50; P < 0.001) groups had increased adjusted mortality vs non-Hispanic Whites. The lowest COI quintile had increased in-hospital mortality in unadjusted and partially adjusted models (OR: 1.29; P = 0.004), but not fully adjusted models (OR: 1.14; P = 0.13). COI partially mediated the effect of race/ethnicity on in-hospital mortality between 2.6% (P = 0.64) and 16.8% (P = 0.029), depending on model specification. In neonatal multivariable survival analysis (n = 13,987; median follow-up: 0.70 years), the lowest COI quintile had poorer survival (HR: 1.21; P = 0.04).

CONCLUSIONS

Children in the lowest COI quintile are at risk for poor outcomes after CHD surgery. Disproportionally increased mortality in Black, Asian, and Other populations may be partially mediated by COI. Targeted investment in low COI neighborhoods may improve outcomes after hospital discharge. Identification of unmeasured factors to explain persistent risk attributed to race/ethnicity is an important area of future exploration.

Survival From Birth Until Young Adulthood Among Individuals With Congenital Heart Defects: CH STRONG

BACKGROUND

Limited population-based information is available on long-term survival of US individuals with congenital heart defects (CHDs). Therefore, we assessed patterns in survival from birth until young adulthood (ie, 35 years of age) and associated factors among a population-based sample of US individuals with CHDs.

METHODS

Individuals born between 1980 and 1997 with CHDs identified in 3 US birth defect surveillance systems were linked to death records through 2015 to identify those deceased and the year of their death. Kaplan-Meier survival curves, adjusted risk ratios (aRRs) for infant mortality (ie, death during the first year of life), and Cox proportional hazard ratios for survival after the first year of life (aHRs) were used to estimate the probability of survival and associated factors. Standardized mortality ratios compared infant mortality, >1-year mortality, >10-year mortality, and >20-year mortality among individuals with CHDs with general population estimates.

RESULTS

Among 11 695 individuals with CHDs, the probability of survival to 35 years of age was 81.4% overall, 86.5% among those without co-occurring noncardiac anomalies, and 92.8% among those who survived the first year of life. Characteristics associated with both infant mortality and reduced survival after the first year of life, respectively, included severe CHDs (aRR=4.08; aHR=3.18), genetic syndromes (aRR=1.83; aHR=3.06) or other noncardiac anomalies (aRR=1.54; aHR=2.53), low birth weight (aRR=1.70; aHR=1.29), and Hispanic (aRR=1.27; aHR=1.42) or non-Hispanic Black (aRR=1.43; aHR=1.80) maternal race and ethnicity. Individuals with CHDs had higher infant mortality (standardized mortality ratio=10.17), >1-year mortality (standardized mortality ratio=3.29), and >10-year and >20-year mortality (both standardized mortality ratios ≈1.5) than the general population; however, after excluding those with noncardiac anomalies, >1-year mortality for those with nonsevere CHDs and >10-year and >20-year mortality for those with any CHD were similar to the general population.

CONCLUSIONS

Eight in 10 individuals with CHDs born between1980 and 1997 survived to 35 years of age, with disparities by CHD severity, noncardiac anomalies, birth weight, and maternal race and ethnicity. Among individuals without noncardiac anomalies, those with nonsevere CHDs experienced similar mortality between 1 and 35 years of age as in the general population, and those with any CHD experienced similar mortality between 10 and 35 years of age as in the general population.

Does universal insurance influence disparities in high-quality hospital use for inpatient pediatric congenital heart defect care within the first year of diagnosis?

BACKGROUND

Healthcare disparities are an issue in the management of Congenital Heart Defects (CHD) in children. Although universal insurance may mitigate racial or socioeconomic status (SES) disparities in CHD care, prior studies have not examined these effects in the use of High-Quality Hospitals (HQH) for inpatient pediatric CHD care in the Military Healthcare System (MHS). To assess for racial and SES disparities in inpatient pediatric CHD care that may persist despite universal insurance coverage, we performed a cross-sectional study of the HQH use for children treated for CHD in the TRICARE system, a universal healthcare system for the U.S. Department of Defense. In the present work we evaluated for the presence of disparities, like those seen in the civilian U.S. healthcare system, among military ranks (SES surrogate) and races and ethnicities in HQH use for pediatric inpatient admissions for CHD care within a universal healthcare system (MHS).

METHODS

We conducted a cross-sectional study using claims data from the U.S. MHS Data Repository from 2016 to 2020. We identified 11,748 beneficiaries aged 0 to 17 years who had an inpatient admission for CHD care from 2016 to 2020. The outcome variable was a dichotomous indicator for HQH utilization. In the sample, 42 hospitals were designated as HQH. Of the population, 82.9% did not use an HQH at any point for CHD care and 17.1% used an HQH at some point for CHD care. The primary predictor variables were race and sponsor rank. Military rank has been used as an indicator of SES status. Patient demographic information at the time of index admission post initial CHD diagnosis (age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, and provider region) and clinical information (complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity) were used as covariates in multivariable logistic regression analysis.

RESULTS

After controlling for demographic and clinical factors including age, gender, sponsor marital status, insurance type, sponsor service branch, proximity to HQH based on patient zip code centroid, provider region, complexity of CHD, common comorbid conditions, genetic syndromes, and prematurity, we did not find disparities in HQH use for inpatient pediatric CHD care based upon military rank. After controlling for demographic and clinical factors, lower SES (Other rank) was less likely to use an HQH for inpatient pediatric CHD care; OR of 0.47 (95% CI of 0.31 to 0.73).

CONCLUSIONS

We found that for inpatient pediatric CHD care in the universally insured TRICARE system, historically reported racial disparities in care were mitigated, suggesting that this population benefitted from expanded access to care. Despite universal coverage, SES disparities persisted in the civilian care setting, suggesting that universal insurance alone cannot sufficiently address differences in SES disparities in CHD care. Future studies are needed to address the pervasiveness of SES disparities and potential interventions to mitigate these disparities such as a more comprehensive patient travel program.

Neonatal Depression Is Associated With 1-Year Mortality in Critical Congenital Heart Disease

Background Low 5-minute Apgar scores (AS) are predictive of term and preterm neonatal mortality but have not been well studied in the critical congenital heart disease (CCHD) population. We analyzed US national vital statistics data to evaluate the association between neonatal depression (AS 0-3) and 1-year mortality in CCHD. Methods and Results We performed a retrospective cohort study using 2014 to 2018 Centers for Disease Control and Prevention cohort-linked birth certificate and infant death records. Five-minute AS were categorized as ≤3, 4 to 6, or ≥7. We calculated birth rates and associated mortality rates by AS group in infants with and without CCHD. Multivariable logistic regression analyzed neonatal, maternal, and pregnancy-related risk factors for neonatal depression and 1-year mortality. Of 11 642 neonates with CCHD (0.06% of all births), the 5.8% with AS 0 to 3 accounted for 23.3% of all 1-year CCHD mortality, with 69.9% of deaths occurring within 1 month of life. Gestational age at birth, growth restriction, extracardiac defects, race, and low maternal education were associated with an increased odds of AS 0 to 3 in neonates with CCHD relative to those with AS 7 to 10 on multivariable analysis. AS 0 to 3 was associated with 1-year CCHD mortality after adjusting for these factors, prenatal care, and delivery location (adjusted odds ratio, 14.57 [95% CI, 11.73-18.10]). Conclusions The AS is a routine clinical measure providing important prognostic information in CCHD. These findings suggest that prenatal and perinatal factors, beyond those included in current risk stratification tools, are important for CCHD outcomes. Multidisciplinary collaboration to understand the pathophysiology underlying neonatal depression may help identify interventions to improve CCHD mortality rates.

Racial and Ethnic Disparities in Outcomes Among Newborns with Congenital Diaphragmatic Hernia

Importance

There is some data to suggest that racial and ethnic minority infants with congenital diaphragmatic hernia (CDH) have poorer clinical outcomes.

Objective

To determine what patient- and institutional-level factors are associated with racial and ethnic differences in CDH mortality.

Design, Setting, and Participants

Multicenter cohort study of 49 US children's hospitals using the Pediatric Health Information System database from January 1, 2015, to December 31, 2020. Participants were patients with CDH admitted on day of life 0 who underwent surgical repair. Patient race and ethnicity were guardian-reported vs hospital assigned as Black, Hispanic (White or Black), or White. Data were analyzed from August 2021 to March 2022.

Exposures

Patient race and ethnicity: (1) White vs Black and (2) White vs Hispanic; and institutional-level diversity (as defined by the percentage of Black and Hispanic patients with CDH at each hospital): (1) 30% or less, (2) 31% to 40%, and (3) more than 40%.

Main Outcomes and Measures

The primary outcomes were in-hospital and 60-day mortality. The study hypothesized that hospitals managing a more racially and ethnically diverse population of patients with CDH would be associated with lower mortality among Black and Hispanic infants.

Results

Among 1565 infants, 188 (12%), 306 (20%), and 1071 (68%) were Black, Hispanic, and White, respectively. Compared with White infants, Black infants had significantly lower gestational ages (mean [SD], White: 37.6 [2] weeks vs Black: 36.6 [3] weeks; difference, 1 week; 95% CI for difference, 0.6-1.4; P < .001), lower birthweights (White: 3.0 [1.0] kg vs Black: 2.7 [1.0] kg; difference, 0.3 kg; 95% CI for difference, 0.2-0.4; P < .001), and higher extracorporeal life support use (White: 316 patients [30%] vs Black: 69 patients [37%]; χ21 = 3.9; P = .05). Black infants had higher 60-day (White: 99 patients [9%] vs Black: 29 patients [15%]; χ21 = 6.7; P = .01) and in-hospital (White: 133 patients [12%] vs Black: 40 patients [21%]; χ21 = 10.6; P = .001) mortality . There were no mortality differences in Hispanic patients compared with White patients. On regression analyses, institutional diversity of 31% to 40% in Black patients (hazard ratio [HR], 0.17; 95% CI, 0.04-0.78; P = .02) and diversity greater than 40% in Hispanic patients (HR, 0.37; 95% CI, 0.15-0.89; P = .03) were associated with lower mortality without altering outcomes in White patients.

Conclusions and Relevance

In this cohort study of 1565 who underwent surgical repair patients with CDH, Black infants had higher 60-day and in-hospital mortality after adjusting for disease severity. Hospitals treating a more racially and ethnically diverse patient population were associated with lower mortality in Black and Hispanic patients.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.