Neighbourhood maternal socioeconomic status indicators and risk of congenital heart disease

Racial disparities in maternal exposure to ambient air pollution during pregnancy and prevalence of congenital heart defects

Air pollution may be a potential cause of congenital heart defects (CHDs), but racial disparities in this association are unexplored. We conducted a statewide population-based cohort study using North Carolina birth data from 2003 to 2015 (n = 1 225 285) to investigate the relationship between air pollution and CHDs (specifically pulmonary valve atresia/stenosis, tetralogy of Fallot [TOF], and atrioventricular septal defect [AVSD]). Maternal exposure to particulate matter ≤ 2.5 μm in diameter (PM2.5) and ozone during weeks 3 to 9 of pregnancy were estimated using the Environmental Protection Agency's Downscaler Model. Single- and co-pollutant log-binomial models were created for the entire population and stratified by race to investigate disparities. Positive associations between PM2.5 and CHDs were observed. An increasing concentration-response association was found for PM2.5 and TOF in adjusted, co-pollutant models (quartile 4 prevalence ratio: 1.46; 95% CI, 1.06-2.03). Differences in the effect of PM2.5 on CHD prevalence were seen in some models stratified by race, although clear exposure-prevalence gradients were not evident. Positive associations were also seen in adjusted, co-pollutant models of ozone and AVSD. Study results suggest that prenatal PM2.5 and ozone exposure may increase the prevalence of certain CHDs. A consistent pattern of differences in association by race/ethnicity was not apparent. This article is part of a Special Collection on Environmental Epidemiology.

Impact of Social Determinants of Health on Cardiovascular Disease

An increasing number of studies have shown the impact of social determinants of health (SDoHs) on different cardiovascular outcomes. SDoHs influence the regional incidence of heart failure, heart failure outcomes, and heart failure readmission rates; can prevent use of advanced heart failure therapies in minorities with an indication for their use; can influence the incidence of coronary artery disease and peripheral artery disease outcomes; and can also prevent providing equal quality of care to all patients with myocardial infarction. In the setting of arrhythmias, specific SDoHs can increase the incidence of atrial fibrillation and adversely affect major outcomes in these patients. In congenital heart diseases, SDoHs can affect major outcomes, as well. In conclusion, SDoHs significantly impact cardiovascular morbidity and death and specific outcomes of patients with cardiovascular disease. Policy measures that aim to improve those SDoHs that negatively affect health outcomes hold promise for improving cardiovascular outcomes at individual and population levels.

Development of machine learning-based models to predict congenital heart disease: A matched case-control study

BACKGROUND

The current congenital heart disease (CHD) prediction tools lack adequate interpretability and convenience, hindering the development of personalized CHD management strategies. We developed a machine learning-based risk stratification model for CHD prediction.

METHODS

This study utilized data from 1,759 participants in a case-control study of CHD conducted across six birth defects surveillance hospitals located in Xi'an, Shaanxi Province, Northwest China, spanning from January 2014 to December 2016. The data was partitioned into training and testing datasets with a ratio of 7:3. Predictors were selected from a total of 47 input variables through the Least Absolute Shrinkage and Selection Operator (LASSO). Five machine learning algorithms were used to build the CHD risk prediction models. Model performance was assessed based on a range of learning metrics, including the area under the receiver operating characteristic curve (AUROC), F1 score, and Brier score. Permutation feature importance was employed to elucidate the prediction model. The best-performing model was used to conduct the risk scores.

RESULTS

The eXtreme Gradient Boosting (XGB) model demonstrated superior performance among CHD prediction models, achieving an AUROC of 0.772 (95 % CI 0.728, 0.817) in the testing dataset and 0.738 (0.699, 0.775) in the external validation dataset. The pivotal predictors (top 3) identified by the model included living in rural areas, the low wealth index, and folic acid supplements (<90 days). The resultant risk score exhibited robust calibration capabilities. Utilizing the risk scores, participants were stratified into low, moderate, and high-risk categories, signifying substantial variations in CHD risk.

CONCLUSION

This study underscores the feasibility and efficacy of employing a machine learning-based approach for CHD prediction. The risk scores exhibited potential in identifying pregnant women at high risk for fetal CHD, offering valuable insights for guiding primary prevention and CHD management.

Effect of Maternal Race, Residential Rurality, and Social Vulnerability on Critical Congenital Heart Defect Risk

The development of a congenital heart defect (CHD) is multifactorial, with many cases having an unknown etiology. This study explored whether maternal race and lived environment were associated with an infant being born with a critical CHD. A cross-sectional, case-control design was conducted utilizing secondary data analysis. The CHD group (N = 199) consisted of infants diagnosed with a critical CHD within the first year of life identified from hospital databases. The non-CHD group (N = 548) was a random sample of infants selected from the state's vital statistics database. The primary outcome was a critical CHD diagnosis. Maternal race, residential rurality, and the Social Vulnerability Index (SVI) were assessed for associations with a critical CHD using bivariate and multilevel regression models. Bivariate findings reported significance among residential rurality (p < 0.001), SVI ranking overall (p = 0.017), and SVI by theme (theme 1 p =  0.004, theme 2 p < 0.001, theme 3 p = 0.007, and theme 4 p = 0.049) when comparing infants with and without a critical CHD diagnosis. Results of multilevel logistic regression analyses further identified living in a rural residential area compared to urban areas (OR = 7.32; p < 0.001) as a predictor for a critical CHD diagnosis. The findings of lived environmental level associations provides information needed for continued investigation as the burden of a critical CHD continues to impact families, suggesting further research efforts are needed to improve health disparities.

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.

Sociodemographic and regional differences in neonatal and infant mortality in Switzerland in 2011-2018: the Swiss National Cohort

BACKGROUND AND AIMS

Despite a well-funded healthcare system with universal insurance coverage, Switzerland has one of the highest neonatal and infant mortality rates among high-income countries. Identifying avoidable risk factors targeted by evidence-based policies is a public health priority. We describe neonatal and infant mortality in Switzerland from 2011 to 2018 and explore associations with neonatal- and pregnancy-related variables, parental sociodemographic information, regional factors and socioeconomic position (SEP) using data from a long-term nationwide cohort study.

METHODS

We included 680,077 live births, representing 99.3% of all infants born in Switzerland between January 2011 and December 2018. We deterministically linked the national live birth register with the mortality register and with census and survey data to create a longitudinal dataset of neonatal- and pregnancy-related variables; parental sociodemographic information, such as civil status, age, religion, education, nationality; regional factors, such as urbanity, language region; and the Swiss neighbourhood index of socioeconomic position (Swiss-SEP index). Information on maternal education was available for a random subset of 242,949 infants. We investigated associations with neonatal and infant mortality by fitting multivariable Poisson regression models with robust standard errors. Several sensitivity analyses assessed the robustness of our findings.

RESULTS

Overall, neonatal mortality rates between 2011 and 2018 were 3.0 per 1000 live births, with regional variations: 3.2 in German-speaking, 2.4 in French-speaking and 2.1 in Italian-speaking Switzerland. For infant mortality, the rates were 3.7 per 1000 live births overall, and 3.9 in the German-speaking, 3.3 in the French-speaking and 2.9 in the Italian-speaking region. After adjusting for sex, maternal age, multiple birth and birth rank, neonatal mortality remained significantly associated with language region (adjusted rate ratio [aRR] 0.72, 95% confidence interval [CI]: 0.64-0.80 for the French-speaking region and aRR 0.66, 95% CI: 0.51-0.87 for the Italian-speaking region vs German-speaking region), with marital status (aRR 1.55, 95% CI: 1.40-1.71 for unmarried vs married), nationality (aRR 1.40, 95% CI: 1.21-1.62 for non-European Economic Area vs Swiss) and the Swiss-SEP index (aRR 1.17, 95% CI: 1.00-1.36 for lowest vs highest SEP quintile). In the subset, we showed a possible association of neonatal mortality with maternal education (aRR 1.24, 95% CI: 0.95-1.61 for compulsory vs tertiary education).

CONCLUSION

We provide detailed evidence about the social patterning of neonatal and infant mortality in Switzerland and reveal important regional differences with about 30% lower risks in French- and Italian-speaking compared with German-speaking regions. Underlying causes for such regional differences, such as cultural, lifestyle or healthcare-related factors, warrant further exploration to inform and provide an evidence base for public health policies.

Predictive model for congenital heart disease in children of Pakistan by using structural equation modeling

BACKGROUND

The structural abnormality of the heart and its blood vessels at the time of birth is known as congenital heart disease. Every year in Pakistan, sixty thousand children are born with CHD, and 44 in 1000 die before they are a month old. Various studies used different techniques to estimate the risk factors of congenital heart disease, but these techniques suffer from a deficiency of capacity to present human understanding and a deficiency of adequate data. The current study provided an innovative approach by defining the latent variables to handle this issue and building a reasonable model.

METHOD

Data used in this study has been collected from mothers and hospital records of the children. The dataset contains information on 3900 children who visited the OPD of the Chaudry Pervaiz Elahi Institute of Cardiology (CPEIC) Multan, Pakistan from October 2021 to September 2022. The latent variables were defined from the data and structural equation modeling was used to model them.

RESULT

The results show that there are 53.6% of males have acyanotic CHD and 54.5% have cyanotic CHD. There are 46.4% of females have acyanotic CHD and 45.5% have cyanotic CHD. The children who have no diabetes in the family are 64.0% and children who have diabetes in the family are 36.0% in acyanotic CHD, the children who have no diabetes in the family are 59.7% and children have diabetes in the family are 40.3% in cyanotic CHD. The value of standardized root mean residual is 0.087 is less than 0.089 which shows that the model is a good fit. The value of root mean square error of approximation is 0.113 is less than 0.20 which also shows the good fit of the model.

CONCLUSION

It was concluded that the model is a good fit. Also, the latent variables, socioeconomic factors, and environmental factors of mothers during pregnancy have a significant effect in causing cyanotic while poor general health factor increases the risk of Acyanotic congenital heart disease.

Trends in Gaps of Care for Patients With Congenital Heart Disease: Implications for Social Determinants of Health and Child Opportunity Index

BACKGROUND

Lifelong continuity of care is essential for patients with congenital heart disease (CHD) to maximize health outcomes; unfortunately, gaps in care (GIC) are common. Trends in GIC and of social determinants of health factors contributing to GIC are poorly understood.

METHODS AND RESULTS

This retrospective cohort study included patients with CHD, aged 0 to 34 years, who underwent surgery between January 2003 and May 2020, followed up at a pediatric subspeciality hospital. Patients were categorized as having simple, moderate, and complex CHD based on 2018 American Heart Association and American College of Cardiology guidelines. Social determinants of health, such as race, ethnicity, language, insurance status, and Child Opportunity Index, based on home address zip code, were analyzed. Of 2012 patients with CHD, a GIC of ≥3 years was identified in 56% (n=1119). The proportion of patients with GIC per year increased by 0.51% (P<0.001). Multivariable longitudinal models showed that the odds of GIC were higher for patients who were ≥10.5 years old, had simple CHD, lived out of state, lived farther from care site, received public insurance, had less protection with additional insurance plans, and with low Child Opportunity Index. A separate model for patients with only moderate/complex CHD showed similar findings. Race and ethnicity were not associated with the odds of experiencing GIC over time.

CONCLUSIONS

GIC have increased over time for patients with CHD. Social determinants of health, like insurance, access, and neighborhood opportunity, are key risk factors for increasing GIC. Efforts to reduce GIC in patients with CHD should focus on addressing the impact of specific social determinants of health.

Who is in Your Waiting Room? Social Determinants of Health and Adverse Childhood Experiences in Pediatric Surgery Clinics

BACKGROUND

Social determinants of health (SDoH) influence overall health, although little is known about the SDoH for pediatric patients requiring surgical services. This study aims to describe SDoH for pediatric surgical patients attending out-patient, community, and outreach clinics, as well as demonstrate the feasibility of identifying and addressing SDoH and Adverse Childhood Experiences (ACEs) when appropriate.

METHODS

A cross-sectional study using surveys evaluating SDoH that were distributed to families attending pediatric surgical clinics over a two-year period. The pilot survey used validated questions and was later refined to a shorter version with questions on: Barriers to care, Economic factors, Adversity, Resiliency and Social capital (BEARS). Data was analyzed with descriptive and inferential statistics.

RESULTS

851 families across 13 clinics participated. One third of families reported not having a primary health care provider or being unable to turn to them for additional support. One in four families were found to have a household income less than the Canadian after-tax low-income threshold (<$40,000 CAD). Two-thirds of families answered questions about ACEs, and those with more ACEs were more likely to report a low income. Forty percent of families rarely or only sometimes had adequate social support.

CONCLUSION

This survey tool enabled discussions between families and care providers, which allowed clinicians to appropriately follow-up with families and refer them to social work for further support when indicated. Addressing concerns around SDoH within a busy surgical clinical is feasible and may positively affect long-term health outcomes and equitable resource allocation.

LEVEL OF EVIDENCE

IV.

Socioeconomic Status and Access to Care for Pediatric and Adult Congenital Heart Disease in Universal Health Coverage Models

Congenital heart disease (CHD) is the most common major congenital anomaly, affecting one in every 100 live births. Whereas over 90% of children born with CHD in low- and middle-income countries cannot access the care they need, early detection, advances in management, and financial risk protection have resulted in over 90% of children with CHD in high-income countries surviving into adulthood. Despite the presence of universal health coverage, barriers to accessing high-quality cardiovascular and non-cardiovascular care for CHD remain common. Lower socioeconomic status has been associated with differential access to cardiac care and poorer outcomes across multiple cardiovascular conditions and subspecialties. In this review article, we describe the relationship between socioeconomic status and access to CHD care in countries with universal health coverage models. We further evaluate notable challenges and opportunities to improve equitable, high-quality CHD care in these countries.

Global trends in prevalence of maternal overweight and obesity: A systematic review and meta-analysis of routinely collected data retrospective cohorts

Pregnant women with obesity are at greater risk of complications during pregnancy, peripartum and post-partum, compared to women with healthy BMI. Worldwide data demonstrating the changes in trends of maternal overweight and obesity prevalence informs service development to address maternal obesity, while directing resources to areas of greatest need. This systematic review and meta-analysis of population level data sought to evaluate global temporal changes in prevalence of maternal obesity and overweight/obesity, and compare trends between regions. Pooled prevalence of obesity and overweight/obesity was estimated using random effects meta-analysis. Temporal and geographical trends in prevalence of obesity and overweight/obesity were examined using linear regression. From 11,684 publications, 94 met inclusion criteria representing 121 study cohorts (Europe n = 71; North America n = 23; Australia/Oceania n = 10; Asia n = 5; South America n = 12), totalling 49,009,168 pregnancies. No studies from Africa met the inclusion criteria. Eighty studies (85.1%) were evaluated as having a low risk of bias and 14 studies (14.9%) moderate. In the most recent full decade (2010-2019), global prevalence of maternal obesity was estimated as 16.3% (95% confidence interval (CI): 15.1-17.5%), or approximately one in six pregnancies. Combined overweight/obesity in pregnancy had a pooled prevalence of 43.8% (95%CI: 42.2-45.4%), approaching half of all pregnancies. In each continent, an upward trend similar to the global trend was observed. North America demonstrated the highest prevalence (obesity: 18.7% (95%CI: 15.0-23.2%)); overweight/obesity: 47.0% (95%CI: 45.7-48.3%)) and Asia demonstrated the lowest prevalence (obesity: 10.8% (95%CI: 7.0-16.5%)); overweight/obesity: 28.5% (95%CI: 18.3-41.5%)). Both maternal obesity and combined overweight/obesity prevalence increased annually by 0.34% and 0.64% (p < 0.001), respectively. Our linear regression model estimates current global prevalence of maternal obesity as 20.9% (95%CI 18.6-23.1%) and projects that this will increase to 23.3% (95%CI 20.3-26.2%) by 2030. Globally, maternal obesity and overweight/obesity prevalence is high and increasing, but varies greatly between regions, being highest in North America and lower in Asia. Maternity services across the globe should be adequately resourced to cope with the complexity of needs of pregnant women living with obesity. Future public health interventions should focus on reversing the high prevalence of maternal obesity observed across the globe. The availability of population-level data and research varies between regions, with more data required to understand the needs of maternal populations in the continents of Africa and Asia. Globally, there is a need for improved harmonisation and publication of data for monitoring and improvement of maternal inequalities.

Risk of congenital anomalies in children who have a sibling with cancer: A matched cohort study

PURPOSE

We assessed the risk of congenital anomalies in children who have a sibling with cancer.

METHODS

We performed a matched cohort study of children born between 2006 and 2022 in Quebec. The exposure was having a sibling with cancer. Exposed children were matched to unexposed children based on sex, number of siblings, birth order, and year. The outcome included heart defects, orofacial clefts, and other anomalies. Using conditional logistic regression, we estimated odds ratios (OR) and 95 % confidence intervals (CI) for the association between having a sibling with cancer and the likelihood of having a congenital anomaly.

RESULTS

A total of 2403 children who had a sibling with cancer were matched to 240,257 unexposed children. Congenital anomalies were more frequent in children who had a sibling with cancer compared with unexposed children (10.3 % vs 8.9 %). Overall, having a sibling with cancer was only weakly associated with congenital anomalies (OR 1.18, 95 % CI 1.04-1.35). Exposed children tended to have greater odds of polydactyly/syndactyly (OR 1.89, 95 % CI 1.11-3.21) and urinary defects (OR 1.50, 95 % CI 1.09-2.08) compared with unexposed children.

CONCLUSIONS

Children who have a sibling with cancer have an only weakly elevated risk of congenital anomalies.

Impact of Social Determinants of Health on Outcomes for Patients with Adult Congenital Heart Disease

PURPOSE OF REVIEW

The study of adults with congenital heart disease (ACHD) is a rapidly growing field; however, more research is needed on the disparities affecting outcomes. With advances in medicine, a high percentage of patients with congenital heart disease (CHD) are advancing to adulthood, leading to an increase in the number of ACHD. This creates a pressing need to evaluate the factors, specifically the social determinants of health (SDOH) contributing to the outcomes for ACHD.

RECENT FINDINGS

A myriad of factors, including, but not limited to, race, education, and socioeconomic status, have been shown to affect ACHD outcomes. Existing data from hospitalizations, mortality and morbidity, advanced care planning, patient and physician awareness, financial factors, and education alongside race and socioeconomic status present differences in ACHD outcomes. With SDOH having a significant impact on ACHD subspecialty care outcomes, ACHD centers need to be constantly adapting and innovating, incorporating SDOH into patient management, and providing additional healthcare resources to manage the care of ACHD.

Health Inequity and Time From Pediatric Stroke Onset to Arrival

BACKGROUND

Time from stroke onset to hospital arrival determines treatment and impacts outcome. Structural, socioeconomic, and environmental factors are associated with health inequity and onset-to-arrival in adult stroke. We aimed to assess the association between health inequity and onset-to-arrival in a pediatric comprehensive stroke center.

METHODS

A retrospective observational study was conducted on a consecutive cohort of children (>28 days-18 years) diagnosed with acute arterial ischemic stroke (AIS) between 2004 and 2019. Neighborhood-level material deprivation was derived from residential postal codes and used as a proxy measure for health inequity. Patients were stratified by level of neighborhood-level material deprivation, and onset-to-arrival was categorized into 3 groups: <6, 6 to 24, and >24 hours. Association between neighborhood-level material deprivation and onset-to-arrival was assessed in multivariable ordinal logistic regression analyses adjusting for sociodemographic and clinical factors.

RESULTS

Two hundred and twenty-nine children were included (61% male; median age [interquartile range] at stroke diagnosis 5.8-years [1.1-11.3]). Over the 16-year study period, there was an increase in proportion of children diagnosed with AIS living in the most deprived neighborhoods and arriving at the emergency room within 6 hours (P=0.01). Among Asian patients, a higher proportion lived in the most deprived neighborhoods (P=0.02) and level of material deprivation was associated with AIS risk factors (P=0.001).

CONCLUSIONS

Our study suggests an increase in pediatric stroke in deprived neighborhoods and certain communities, and earlier arrival times to the emergency room over time. However, whether these changes are due to an increase in incidence of childhood AIS or increased awareness and diagnosis is yet to be determined. The association between AIS risk factors and material deprivation highlights the intersectionality of clinical factors and social determinants of health. Finally, whether material deprivation impacts onset-to-arrival is likely complex and requires further examination.

Assessment of Health-Related Quality of Life in Children with Totally Corrected Tetralogy of Fallot in Sulaymaniyah, Iraq

PURPOSE

This study examined the health-related quality of life among children who have undergone surgery for tetralogy of Fallot (TOF) compared to healthy children.

DESIGN

Cross-sectional study.

METHODS

The study was carried out at Children's Heart Hospital and Primary Healthcare Centers in Sulaymaniyah, Iraq, between July 1, 2022, and November 1, 2022. The study involved 400 participants, comprised of 200 parents of healthy children and 200 parents with children with repaired TOF. Data collection involved utilizing a 5-point Likert Scale questionnaire administered through direct face-to-face interviews with the parents of the children.

FINDINGS

Children with surgically repaired TOF had markedly lower mean scores (P ≤ 0.001) in the overall dimension of QoL (Mean rank = 137) when compared to healthy children (Mean rank = 263). Furthermore, it was observed that children with repaired TOF had significantly lower mean scores (P < 0.001) across all subdimensions of QoL compared to their healthy counterparts. In the subject of children with repaired TOF, the impact of maternal education (illiterate and lower education) on overall QoL was found to be highly significant (P < 0.001). In addition, children with repaired TOF from lower socioeconomic status (SES) families had worse quality of life than those from medium and high SES families, with a p-value <0.001.

CONCLUSIONS

Repaired TOF children exhibited notable deficiencies across all dimensions of QoL compared to healthy children. Moreover, SES emerged as a significant determinant influencing the QoL outcomes of repaired TOF children.

CLINICAL EVIDENCE

Despite undergoing corrective surgery for TOF, the QoL in children with repaired TOF continues to be lower than that of their healthy counterparts. Notably, the economic and educational status of the family significantly impacts the way these children perceive and experience their QoL. This finding underscores the critical significance of factoring in socioeconomic elements when addressing the well-being of this particular group of children.

The Effect of Combination Prayer Therapy and Education on Pre-operative Coronary Artery Bypass Graft Anxiety

Background: Anxiety is a problem that most often occurs in the pre-operative coronary artery bypass graft surgery stage. The combination of prayer therapy with education is expected to be able to overcome anxiety. The combination of prayer and education therapy have been researched as a potential holistic intervention for reducing anxiety in coronary artery bypass graft surgery. Purpose: This study compares the effect of combination therapy with the golden standard of therapy in hospitals. Methods: A true-experimental design was used. Fifty participants were randomly assigned to two groups. Data were collected using a State-Trait Anxiety Inventory questionnaire from Spielberger. Findings: Most respondents were elderly, male, high school graduates in the treatment group, and bachelor graduates in the control group. Prayer therapy and education have an effect of 63.8% on reducing anxiety. An increase of 1 constant in the provision of prayer therapy and education can reduce anxiety by 0.772. Conclusions: The combination of prayer therapy and education becomes the holistic nursing modality that can reduce anxiety in pre-operative coronary artery bypass graft patients.

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.

Social Determinants of Health Including Child Opportunity Index Leading to Gaps in Care for Patients With Significant Congenital Heart Disease

BACKGROUND

Gaps in care (GIC) are common for patients with congenital heart disease (CHD) and can lead to worsening clinical status, unplanned hospitalization, and mortality. Understanding of how social determinants of health (SDOH) contribute to GIC in CHD is incomplete. We hypothesize that SDOH, including Child Opportunity Index (COI), are associated with GIC in patients with significant CHD.

METHODS AND RESULTS

A total of 8554 patients followed at a regional specialty pediatric hospital with moderate to severe CHD seen in cardiology clinic between January 2013 and December 2015 were retrospectively reviewed. SDOH factors including race, ethnicity, language, and COI calculated based on home address and zip code were analyzed. GIC of >3.25 years were identified in 32% (2709) of patients. GIC were associated with ages 14 to 29 years (P<0.001), Black race or Hispanic ethnicity (P<0.001), living ≥150 miles from the hospital (P=0.017), public health insurance (P<0.001), a maternal education level of high school or less (P<0.001), and a low COI (P<0.001). Multivariable analysis showed that GIC were associated with age ≥14 years, Black race or Hispanic ethnicity, documenting <3 caregivers as contacts, mother's education level being high school or less, a very low/low COI, and insurance status (C statistic 0.66).

CONCLUSIONS

One-third of patients followed in a regional referral center with significant CHD experienced a substantial GIC (>3.25 years). Several SDOH, including a low COI, were associated with GIC. Hospitals should adopt formal GIC improvement programs focusing on SDOH to improve continuity of care and ultimately overall outcomes for patients with CHD.

Effects of Sociodemographic Factors on Access to and Outcomes in Congenital Heart Disease in the United States

Congenital heart defects (CHDs) are complex conditions affecting the heart and/or great vessels that are present at birth. These defects occur in approximately 9 in every 1000 live births. From diagnosis to intervention, care has dramatically improved over the last several decades. Patients with CHDs are now living well into adulthood. However, there are factors that have been associated with poor outcomes across the lifespan of these patients. These factors include sociodemographic and socioeconomic positions. This commentary examined the disparities and solutions within the evolution of CHD care in the United States.

Epidemiology studies on effects of lithium salts in pregnancy are confounded by the inability to control for other potentially teratogenic factors

INTRODUCTION

In bipolar women who took lithium during pregnancy, several epidemiology studies have reported small increases in a rare fetal cardiac defect termed Ebstein's anomaly.

METHODS

Behavioral, environmental, and lifestyle-associated risk factors associated with bipolar disorder and health insurance status were determined from an Internet search. The search was conducted from October 1, 2023, through October 14, 2023. The search terms employed included the following: bipolar, bipolar disorder, mood disorders, pregnancy, congenital heart defects, Ebstein's anomaly, diabetes, hypertension, Medicaid, Medicaid patients, alcohol use, cigarette smoking, marijuana, cocaine, methamphetamine, narcotics, nutrition, diet, obesity, body mass index, environment, environmental exposures, poverty, socioeconomic status, divorce, unemployment, and income. No quotes, special fields, truncations, etc., were used in the searches. No filters of any kind were used in the searches.

RESULTS

Women who remain on lithium in the United States throughout their pregnancy are likely to be experiencing mania symptoms and/or suicidal ideation refractory to other drugs. Pregnant women administered the highest doses of lithium salts would be expected to have been insufficiently responsive to lower doses. Any small increases in the retrospectively determined risk of fetal cardiac anomalies in bipolar women taking lithium salts cannot be disentangled from potential developmental effects resulting from very high rates of cigarette smoking, poor diet, alcohol abuse, ingestion of illegal drugs like cocaine or opioids, marijuana smoking, obesity, and poverty.

CONCLUSIONS

The small risks in fetal cardiac abnormalities reported in the epidemiology literature do not establish a causal association for lithium salts and Ebstein's anomaly.

Access to Specialized Care Across the Lifespan in Tetralogy of Fallot

Individuals living with tetralogy of Fallot require lifelong specialized congenital heart disease care to monitor for and manage potential late complications. However, access to cardiology care remains a challenge for many patients, as does access to mental health services, dental care, obstetrical care, and other specialties required by this population. Inequities in health care access were highlighted by the COVID-19 pandemic and continue to exist. Paradoxically, many social factors influence an individual's need for care, yet inadvertently restrict access to it. These include sex and gender, being a member of a racial or ethnic historically excluded group, lower educational attainment, lower socioeconomic status, living remotely from tertiary care centres, transportation difficulties, inadequate health insurance, occupational instability, and prior experiences with discrimination in the health care setting. These factors may coexist and have compounding effects. In addition, many patients believe that they are cured and unaware of the need for specialized follow-up. For these reasons, lapses in care are common, particularly around the time of transfer from paediatric to adult care. The lack of trained health care professionals for adults with congenital heart disease presents an additional barrier, even in higher income countries. This review summarizes challenges regarding access to multiple domains of specialized care for individuals with tetralogy of Fallot, with a focus on the impact of social determinants of health. Specific recommendations to improve access to care within Canadian and American systems are offered.

Sociodemographic factors associated with paediatric out-of-hospital cardiac arrest: A systematic review

BACKGROUND

Paediatric out-of-hospital cardiac arrest (POHCA) is associated with poor survival and severe neurological sequelae. We conducted a systematic review on the impact of sociodemographic factors across different stages of POHCA.

METHODS

We searched MEDLINE, EMBASE, and Web of Science from database inception to October 2022. We included studies examining the association between sociodemographic factors (i.e., race, ethnicity, migrant status and socioeconomic status [SES]) and POHCA risk, bystander cardiopulmonary resuscitation (CPR) provision, bystander automated external defibrillator (AED) application, survival (at or 30-days post-discharge), and neurological outcome. We synthesized the data qualitatively.

RESULTS

We screened 11,097 citations and included 18 articles (arising from 15 studies). There were 4 articles reporting on POHCA risk, 5 on bystander CPR provision, 3 on bystander AED application, 13 on survival, and 6 on neurological outcome. In all studies on POHCA risk, significant differences were found across racial groups, with minority populations being disproportionately impacted. There were no articles reporting on the association between SES and POHCA risk. Bystander CPR provision was consistently associated with race and ethnicity, with disparities impacting Black and Hispanic children. The association between bystander CPR provision and SES was variable. There was little evidence of socioeconomic or racial disparities in studies on bystander AED application, survival, and neurological outcome, particularly across adjusted analyses.

CONCLUSIONS

Race and ethnicity are likely associated with POHCA risk and bystander CPR provision. These findings highlight the importance of prioritizing at-risk groups in POHCA prevention and intervention efforts. Further research is needed to understand underlying mechanisms.

Sociodemographic profile associated with congenital heart disease among infants <1 year old

PURPOSE

Congenital heart disease affects thousands of newborns each year in the United States. Previous United States-based research has explored how sociodemographic factors may impact health outcomes in infants with congenital heart disease; however, their impact on the incidence of congenital heart disease is unclear. We explored the sociodemographic profile related to congenital heart disease to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with congenital heart disease will encourage implementation of potential preventative measures.

DESIGN AND METHODS

We conducted a secondary analysis of longitudinally collected data comparing 39 infants with congenital heart disease and 30 healthy controls. We used a questionnaire to collect sociodemographic data. Pearson's chi-square test/Fisher's exact tests analyzed the associations among different sociodemographic factors between infants with congenital heart disease and healthy controls.

RESULTS

We found a statistically significant difference in maternal education between our 2 groups of infants (p = 0.004).

CONCLUSION

Maternal education was associated with congenital heart disease. Future studies are needed to further characterize sociodemographic factors that may predict and impact the incidence of congenital heart disease and to determine possible interventions that may help decrease health disparities regarding the incidence of congenital heart disease.

PRACTICE IMPLICATIONS

Understanding the associations between maternal sociodemographic factors and infant congenital heart disease would allow clinicians to identify mothers at higher risk of having an infant with congenital heart disease.

Neighborhood location and nutritional resources as a risk factor for congenital heart disease in the fetus

BACKGROUND

Congenital heart disease (CHD) is the most common birth defect, influenced by maternal health, environmental conditions, and genetics. Maternal health and nutrition, particularly maternal diabetes, is a modifiable risk factor for development of CHD in the fetus. However, the importance of food access during pregnancy on the development of CHD remains unknown. The objective of this study was to investigate the association between maternal neighborhood characteristics, particularly food access, and occurrence of prenatally diagnosed CHD.

METHODS

A retrospective case series studied maternal-fetal dyads with prenatally diagnosed CHD between 2019 and 2021 in Washington, DC. Moran's I of maternal addresses evaluated geographic clustering of disease. Negative binomial regression assessed association between census tract demographics and population-adjusted CHD rate.

RESULTS

A total of 307 dyads were analyzed. Global Moran's I showed significant CHD clustering (p-value = .004). However, degree of clustering was not clinically meaningful. After adjusting for neighborhood socioeconomic status, residing in food deserts was not a predictor for CHD. However, neighborhoods with a higher percentage of households receiving Supplemental Nutrition Assistance Program (SNAP) benefits were associated with higher rates of conotruncal heart defects (Incident Rate Ratio [IRR] = 1.04, CI = 1.01-1.08) and aggregate CHD (IRR = 1.03, CI = 1.01-1.05).

CONCLUSIONS

Neighborhood location and food access were not associated with CHD. However, increased enrollment in SNAP was associated with higher rates of CHD. The association between CHD and SNAP benefits warrants further exploration. Understanding food access and maternal nutrition may illuminate disparities in the burden of CHD.

Unraveling the Challenges: A Critical Review of Congenital Malformations in Low Socioeconomic Strata of Developing Countries

Congenital malformations pose significant challenges in the low socioeconomic strata of developing countries. This review critically examines the prevalence, patterns, and factors influencing congenital malformations in these settings. It explores the physical, psychological, and economic consequences for affected individuals and their families and the social stigma and discrimination they face. The review highlights the importance of equity and access to healthcare services, the role of environmental factors and nutritional deficiencies, and the ethical considerations and policy implications associated with congenital malformations. Existing interventions, challenges in implementation, and innovative approaches are discussed. Gaps in knowledge and areas for further research are identified. Addressing congenital malformations in low socioeconomic strata requires multidisciplinary collaboration, advocacy, and inclusive policies. By prioritizing preventive measures, early detection, and comprehensive care, the burden of congenital malformations can be reduced, improving the quality of life for affected individuals and their communities.

Spatial machine learning for predicting physical inactivity prevalence from socioecological determinants in Chicago, Illinois, USA

The increase in physical inactivity prevalence in the USA has been associated with neighborhood characteristics. While several studies have found an association between neighborhood and health, the relative importance of each component related to physical inactivity or how this value varies geographically (i.e., across different neighborhoods) remains unexplored. This study ranks the contribution of seven socioecological neighborhood factors to physical inactivity prevalence in Chicago, Illinois, using machine learning models at the census tract level, and evaluates their predictive capabilities. First, we use geographical random forest (GRF), a recently proposed nonlinear machine learning regression method that assesses each predictive factor's spatial variation and contribution to physical inactivity prevalence. Then, we compare the predictive performance of GRF to geographically weighted artificial neural networks, another recently proposed spatial machine learning algorithm. Our results suggest that poverty is the most important determinant in the Chicago tracts, while on the other hand, green space is the least important determinant in the rise of physical inactivity prevalence. As a result, interventions can be designed and implemented based on specific local circumstances rather than broad concepts that apply to Chicago and other large cities.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10109-023-00415-y.

Association between maternal marginalization and infants born with congenital heart disease in Ontario Canada

BACKGROUND

This study aims to evaluate the impact of socioeconomic status (SES) on the risk of congenital heart disease (CHD) since previous studies have yielded inconsistent results.

METHODS

We conducted a population-based retrospective cohort study, including all singleton live and still births in Ontario hospitals from April 1, 2012, to March 31, 2018. We used linked records from the Better Outcomes Registry & Network Information System, the Canadian Institute for Health Information databases, and the Ontario Marginalization Index (ON_Marg). ON_Marg was estimated at a dissemination area level using Canadian Census 2016 data and categorized into quintiles. Multivariable logistic regression models were performed to examine the relationships between four ON_Marg indices (material deprivation, dependency, ethnic concentration, residential instability), as proxies for maternal SES and the risk of infant CHD. We adjusted for maternal age at birth, assisted reproductive technology, obesity, pre-existing health conditions, substance use during pregnancy, mental health conditions before and during pregnancy, rural residence, and infant's sex in the analysis.

RESULTS

Among the cohort of 776,799 singletons, 9,359 infants had a diagnosis of CHD. Of those, 3,069 were severe CHD and 493 cases were single ventricle CHD. The prevalence of all infant CHD types was higher for males relative to females. Compared to mothers living in neighbourhoods with the lowest material deprivation, mothers with highest material deprivation had a 27% (adjusted OR = 1.27; 95% CI: 1.18-1.37) higher odds of having an infant diagnosed with CHD. Mothers living in neighbourhoods with the highest minority ethnic and immigrant concentration tend to have infants with 11% lower odds of CHD (adjusted OR = 0.89; 95% CI: 0.82-0.97) as compared to those living in the least ethnically diverse communities. Maternal dependency and residential stability quintiles were not significantly associated with the risk of CHD.

CONCLUSION

Higher maternal material deprivation was associated with increasing odds of infant CHD, whereas neighbourhood minority ethnic concentration was inversely associated with the odds of infant CHD. Our study further confirms that poverty is associated with CHD development. Future investigations might focus on the causal pathways between social deprivation, immigrant status, ethnicity, and the risk of infant CHD.

Association of Adverse Childhood Experiences with Heart Conditions in Children: Insight from the 2019-2020 National Survey of Children's Health

Adverse Childhood Experiences (ACEs) have been associated with a higher risk of developing cardiovascular diseases and premature mortality in adults.

OBJECTIVES

We evaluated the associations between ACEs and heart diseases among children in the United States.

METHODS

Data on children ages 0 to 17 years reported by parents/guardians to have current heart conditions were analyzed. Using Stata version 17 software, descriptive statistics were generated for the demographic characteristics and the various health outcomes using the chi-square of independence. Multivariate logistic regression models were employed to determine the associations between ACEs and heart conditions, the severity of heart conditions, and overall health status.

RESULTS

There were 826 children with current heart conditions from a total of 68,753 surveyed children. This corresponded to an estimated 780,000 (1.13%) children living with heart conditions in the U.S. On multivariate logistic models, several ACEs, including household economic hardship, parental/guardian's alcohol/drug abuse, severe mental health illness of parents/guardians, racial/ethnic discrimination, exposure to neighborhood violence, and accumulation of two or more ACEs, were significantly associated with heart diseases among children. Though the accumulation of two or more ACEs did not have a significant association with the severity of heart condition, it was significantly associated with caregiver reports of undesirable overall health status.

CONCLUSIONS

ACEs are significantly associated with heart conditions among children and contribute to unfavorable overall health status among children with heart conditions in the U.S. There is a need for policies and programs that will promptly identify ACEs and mitigate their negative impact on children.

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.

Sociodemographic Profile Associated with Congenital Heart Disease among Infants Less than 1 Year Old

Background

Congenital heart disease (CHD) affects thousands of newborns each year in the United States (US). Infants born with CHD have an increased risk of adverse health outcomes compared to healthy infants. These outcomes include, but are not limited to, neurodevelopmental, surgical, and mortality-related outcomes. Previous US-based research has explored how sociodemographic factors may impact these health outcomes in infants with CHD; however, their impact on the risk of CHD is unclear. This study aims to explore the sociodemographic profile related to CHD to help address health disparities that arise from race and social determinants of health. Defining the sociodemographic factors associated with CHD will encourage policy change and the implementation of preventative measures.

Methods

This study is a secondary analysis of longitudinally collected data. We compared infants with CHD and healthy controls. We used a questionnaire to collect sociodemographic data. Pearson's chi-square test/Fisher's exact tests analyzed the associations among different sociodemographic factors between infants with CHD and healthy controls.

Results

We obtained sociodemographic factors from 30 healthy control infants and 39 infants with CHD. We found a statistically significant difference in maternal education between our 2 groups of infants (p=0.004).

Conclusion

Maternal education is associated with CHD. Future studies are needed to further characterize sociodemographic factors that may predict and impact the risk of CHD and to determine possible interventions that may help decrease health disparities regarding the risk of CHD.

Bioethics for Neonatal Cardiac Care

BACKGROUND

Clinicians caring for neonates with congenital heart disease encounter challenges with ethical implications in daily practice and must have some basic fluency in ethical principles and practical applications.

METHODS

Good ethical practice begins with a thorough understanding of the details and narrative of each individual case, examination via classic principles of bioethics, and further framing of that translation into practice.

RESULTS

We explore some of these issues and expand awareness through the lens of a case presentation beginning with fetal considerations through end-of-life discussions.

CONCLUSIONS

We include specific sections that bring attention to shared decision-making, research ethics, and outcomes reporting. We review empirical evidence and highlight recommendations.

Associations of congenital heart disease with deprivation index by rural-urban maternal residence: a population-based retrospective cohort study in Ontario, Canada

BACKGROUND

The risk of congenital heart disease (CHD) has been found to vary by maternal socioeconomic status (SES) and rural-urban residence. In this study, we examined associations of CHD with two maternal SES indicators and stratified the analysis by maternal rural-urban residence.

METHODS

This was a population-based retrospective cohort study. We included all singleton stillbirths and live hospital births from April 1, 2012 to March 31, 2018 in Ontario, Canada. We linked the BORN Information System and Canadian Institute for Health Information databases. Multivariable logistic regression models were used to examine associations of CHD with material deprivation index (MDI), social deprivation index (SDI), and maternal residence while adjusting for maternal age at birth, assisted reproductive technology, obesity, pre-pregnancy maternal health conditions, mental health illness before and during pregnancy, substance use during pregnancy, and infant's sex. MDI and SDI were estimated at a dissemination area level in Ontario and were categorized into quintiles (Q1-Q5).

RESULTS

This cohort study included 798,173 singletons. In maternal urban residence, the p trend (Cochran-Armitage test) was less than 0.0001 for both MDI and SDI; while for rural residence, it was 0.002 and 0.98, respectively. Infants living in the most materially deprived neighbourhoods (MDI Q5) had higher odds of CHD (aOR: 1.21, 95% CI: 1.12-1.29) compared to Q1. Similarly, infants living in the most socially deprived neighbourhoods (SDI Q5) had an 18% increase in the odds of CHD (aOR: 1.18, 95% CI: 1.1-1.26) compared to Q1. Rural infants had a 13% increase in the odds of CHD compared to their urban counterparts. After stratifying by maternal rural-urban residence, we still detected higher odds of CHD with two indices in urban residence but only MDI in rural residence.

CONCLUSION

Higher material and social deprivation and rural residence were associated with higher odds of CHD. Health interventions and policies should reinforce the need for optimal care for all families, particularly underprivileged families in both rural and urban regions. Future studies should further investigate the effect of social deprivation on the risk of CHD development.

Genome-Wide De Novo Variants in Congenital Heart Disease Are Not Associated With Maternal Diabetes or Obesity

BACKGROUND

Congenital heart disease (CHD) is the most common anomaly at birth, with a prevalence of ≈1%. While infants born to mothers with diabetes or obesity have a 2- to 3-fold increased incidence of CHD, the cause of the increase is unknown. Damaging de novo variants (DNV) in coding regions are more common among patients with CHD, but genome-wide rates of coding and noncoding DNVs associated with these prenatal exposures have not been studied in patients with CHD.

METHODS

DNV frequencies were determined for 1812 patients with CHD who had whole-genome sequencing and prenatal history data available from the Pediatric Cardiac Genomics Consortium's CHD GENES study (Genetic Network). The frequency of DNVs was compared between subgroups using t test or linear model.

RESULTS

Among 1812 patients with CHD, the number of DNVs per patient was higher with maternal diabetes (76.5 versus 72.1, t test P=3.03×10-11), but the difference was no longer significant after including parental ages in a linear model (paternal and maternal correction P=0.42). No interaction was observed between diabetes risk and parental age (paternal and maternal interaction P=0.80 and 0.68, respectively). No difference was seen in DNV count per patient based on maternal obesity (72.0 versus 72.2 for maternal body mass index <25 versus maternal body mass index >30, t test P=0.86).

CONCLUSIONS

After accounting for parental age, the offspring of diabetic or obese mothers have no increase in DNVs compared with other children with CHD. These results emphasize the role for other mechanisms in the cause of CHD associated with these prenatal exposures.

REGISTRATION

URL: https://clinicaltrials.gov; NCT01196182.

Heart Disease and Stroke Statistics-2022 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 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. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy.

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.

Association of maternal socioeconomic status and race with risk of congenital heart disease: a population-based retrospective cohort study in Ontario, Canada

OBJECTIVE

To investigate the interrelationships between maternal socioeconomic status (SES), race and congenital heart diseases (CHD) among infants.

DESIGN

Retrospective cohort study.

STUDY SETTING

Ontario, Canada.

STUDY POPULATION

All singleton stillbirths and live births born in hospitals between 1 April 2012 and 31 March 2018 in Ontario, Canada (n=804 292).

OUTCOME

CHD.

ANALYSIS

Multivariable logistic regression models were performed to assess associations between maternal neighbourhood household income, education level, race and CHD while adjusting for maternal age at birth, assisted reproductive technology, obesity, pre-existing health conditions, substance use during pregnancy, maternal rural residence and infant's sex.

RESULTS

Compared with infants whose mothers lived in the highest median household income neighbourhoods, infants whose mothers lived in the lowest median income neighbourhoods had a higher likelihood of having CHD (adjusted OR 1.15, 95% CI 1.06 to 1.24). Compared with infants whose mothers lived in neighbourhoods with more people with a university or higher degree, those infants whose mothers lived in neighbourhoods with less people with a university or higher degree had a higher chance of developing CHD (adjusted OR 1.26, 95% CI 1.16 to 1.36). Compared with white mothers, black mothers had a higher odds of giving birth to a child with CHD (adjusted OR 1.40, 95% CI 1.27 to 1.54). No association was detected between White and Asian mothers and CHD among infants.

CONCLUSIONS

Our study indicates that there are inequities in CHD burden by maternal SES and race in Ontario, Canada. Further investigation is needed to examine racial variation in CHD using more detailed ethnic data.

Maternal Smoking and Congenital Heart Defects, National Birth Defects Prevention Study, 1997-2011

OBJECTIVES

To assess associations between maternal smoking and congenital heart defects (CHDs) in offspring.

STUDY DESIGN

We performed a retrospective case-control study using data for cases of CHD (n = 8339) and nonmalformed controls (n = 11 020) from all years (1997-2011) of the National Birth Defects Prevention Study. Maternal self-reported smoking 1 month before through 3 months after conception was evaluated as a binary (none, any) and categorical (light, medium, heavy) exposure. Multivariable logistic regression was used to estimate aOR and 95% CIs. Stratified analyses were performed for septal defects according to maternal age, prepregnancy body mass index, and maternal race/ethnicity.

RESULTS

Multiple CHDs displayed modest associations with any level of maternal periconceptional smoking independent of potential confounders; the strongest associations were for aggregated septal defects (OR, 1.5; 95% CI, 1.3-1.7), tricuspid atresia (OR, 1.7; 95% CI, 1.0-2.7), and double outlet right ventricle (DORV) (OR, 1.5; 95% CI, 1.1-2.1). Tricuspid atresia and DORV also displayed dose-response relationships. Among heavy smokers, the highest odds were again observed for tricuspid atresia (aOR 3.0; 95% CI, 1.5-6.1) and DORV (aOR 1.5; 95% CI, 1.1-2.2). Heavy smokers ≥35 years old more frequently had a child with a septal defect when compared with similarly aged nonsmokers (aOR 2.3; 95% CI, 1.4-3.9).

CONCLUSIONS

Maternal periconceptional smoking is most strongly associated with septal defects, tricuspid atresia, and DORV; the risk for septal defects is modified by maternal age.

The impact of socioeconomic deprivation on congenital hand differences: A retrospective cohort study

Socioeconomic deprivation is an established risk factor for a range of adverse perinatal and infant outcomes. The primary aim of this study was to investigate any association between socioeconomic deprivation and the prevalence of Congenital Hand Differences (CHDs). This retrospective cross-sectional study was undertaken at a single tertiary referral center over a five year period (March 2015 to February 2020). The inclusion criterion was all patients referred for a review at a CHD clinic. As a measure of socioeconomic status, patients were assigned to a deprivation quintile using the Scottish Index of Multiple Deprivation (SIMD): quintile 1 indicates the most deprived area and quintile 5 indicates the least deprived area. CHDs were classified according to the Oberg-Manske-Tonkin (OMT) Classification. During the study period 259 patients were identified. The overall prevalence of CHD was 15 per 100,000 per year, mean referral age was 2.6 years (Standard Deviation: 4 years) and 135 patients (52%) were female. Areas of greater social deprivation had a significantly higher prevalence of CHD (22 per 100,000 per year in quintile 1 vs. 13 per 100,000 per year in quintile 5; p < 0.001), surgery (75% of patients in quintile 1 vs 43% of patients in quintile 5; p = 0.003), and younger referral age (1.5 years in quintile 1 vs 4.4 years in quintile 5; p = 0.003). This study has shown a greater CHD prevalence rate amongst patients from more socially deprived areas. In the most deprived group, the patient referral age was also significantly younger and surgical intervention rate was higher.

Socioeconomic inequality in congenital heart diseases in Iran

INTRODUCTION

Social-economic factors have an important role in shaping inequality in congenital heart diseases. The current study aimed to assess and decompose the socio-economic inequality in Congenital Heart Diseases (CHDs) in Iran.

METHODS

This is a cross-sectional research conducted at Shahid Rajaie Cardiovascular Medical and Research Center in Tehran, Iran, as one of the largest referral heart hospitals in Asia. Data were collected primarily from 600 mothers who attended in pediatric cardiology department in 2020. The polychoric principal component analysis (PCA) and Errygers corrected CI (ECI) were used to construct household socioeconomic status and to assess inequality in CHDs, respectively. A regression-based decomposition analysis was also applied to explain socioeconomic-related inequalities. To select the explanatory social, medical/biological, and lifestyle variables, the chi-square test was first used.

RESULTS

There was a significant pro-rich inequality in CHDs (ECI = -0.65, 95% CI, - 0.72 to - 0.58). The social, medical/biological, and lifestyle variables accounted for 51.47, 43.25, and 3.92% of inequality in CHDs, respectively. Among the social variables, family SES (about 50%) and mother's occupation (21.05%) contributed the most to CHDs' inequality. Besides, in the medical/biological group, receiving pregnancy care (22.06%) and using acid folic (15.70%) had the highest contribution.

CONCLUSION

We concluded that Iran suffers from substantial socioeconomic inequality in CHDs that can be predominantly explained by social and medical/biological variables. It seems that distributional policies aim to reduce income inequality while increasing access of prenatal care and folic acid for disadvantaged mothers could address this inequality much more strongly in Iran.

A Comparative Prevalence of Birth Defects between Newborns of Immigrant and Native-Born Mothers in Taiwan: Ten Years of Population-Based Data

In recent years, newborns born to immigrant mothers have accounted for about 10% of the total births in Taiwan. However, little is known about whether there are differences between newborns of immigrant and native-born mothers regarding the prevalence and the possible causes of birth defects. By combining four nationwide databases and assessing all newborns between 2005 and 2014 in Taiwan as research subjects, this study determined the prevalence of birth defects stratified into nine categories (neuronal, facial, cleft, circulatory, respiratory, digestive, urogenital, musculoskeletal and chromosomal abnormalities) in the newborns of immigrant mothers and native-born mothers. We found that the prevalence of any birth defects in newborns of immigrant mothers (ranging from 0.98 to 1.24%) was lower than that of native-born mothers (2.86%). Skeletomuscular system defects are the most common among newborns of women from the main immigrant countries (0.24–0.42%), while circulatory system defects were the most common among newborns of Taiwanese women (0.92%). The risks of all defects remained lower for newborns of immigrant mothers (AORs ranged from 0.37 to 0.47) after controlling for possible confounding variables. The higher rates of birth defects among newborns of native-born mothers may be attributed to an older maternal age at childbirth and a higher prevalence of diabetes than that of immigrant mothers. The findings from this study imply that the prevalence of birth defects between newborns of immigrant and native-born mothers is not similar, as evidenced by a decade of population-based data.

Health Care Policy and Congenital Heart Disease: 2020 Focus on Our 2030 Future

The congenital heart care community faces a myriad of public health issues that act as barriers toward optimum patient outcomes. In this article, we attempt to define advocacy and policy initiatives meant to spotlight and potentially address these challenges. Issues are organized into the following 3 key facets of our community: patient population, health care delivery, and workforce. We discuss the social determinants of health and health care disparities that affect patients in the community that require the attention of policy makers. Furthermore, we highlight the many needs of the growing adults with congenital heart disease and those with comorbidities, highlighting concerns regarding the inequities in access to cardiac care and the need for multidisciplinary care. We also recognize the problems of transparency in outcomes reporting and the promising application of telehealth. Finally, we highlight the training of providers, measures of productivity, diversity in the workforce, and the importance of patient-family centered organizations in advocating for patients. Although all of these issues remain relevant to many subspecialties in medicine, this article attempts to illustrate the unique needs of this population and highlight ways in which to work together to address important opportunities for change in the cardiac care community and beyond. This article provides a framework for policy and advocacy efforts for the next decade.