Socioeconomic barriers to prenatal diagnosis of critical congenital heart disease

Approaching Universal Prenatal Detection of Significant Cardiovascular Malformations in Nevada

OBJECTIVE

To report our recent experience with prenatal detection of significant cardiovascular malformations (CVMs) in Nevada's state-wide maternal population receiving prenatal care.

METHODS

We queried our databases for those with significant CVMs diagnosed pre- or postnatally between May 1, 2021, and April 30, 2024. We defined CVMs as those that required, would have required, or will likely require a therapeutic procedure in the first 12 months. Additionally, we included those with atrioventricular and ventriculoarterial discordance and left isomeric situs, both unaccompanied by additional CVMs, and congenital complete heart block. We defined routine prenatal care as obstetric care, which included at least one fetal anatomical survey ultrasound.

RESULTS

We identified 390 cases of significant CVMs. Of the 390 cases, 359 (92%) had prenatal care over the three-year observation period, with prenatal detection rates for the three 12-month intervals: 76% (87/115), 87% (94/108), and 95% (129/136) respectively (p < 0.001 by chi-square). A total of 310 prenatal diagnoses were made from comprehensive fetal echocardiograms performed on 8397 pregnant women at maternal-fetal-medicine centers.

CONCLUSION

To our knowledge, these results represent the highest prenatal detection rate for significant CVMs, in a state-wide maternal population in the United States.

Bio inspired technological performance in color Doppler ultrasonography and echocardiography for enhanced diagnostic precision in fetal congenital heart disease

The aim of this experiment is to investigate the bioinspired diagnostic performance of color Doppler ultrasound (CDUS) and two-dimensional (2D) echocardiography (ECG) for fetal congenital heart disease (FCHD). The research subjects were 33 expectant mothers with a diagnosis of FCHD at Xiangyang No. 1 People's Hospital between January 2017 and January 2021. The accuracy, sensitivity, and specificity of the two detection techniques were computed to ascertain and compare the diagnostic efficiency after CDUS and ECG examinations of all pregnant women. According to the findings, the prenatal CDUS detection rate was 92.61% higher than the 2D ECG detection rate (64.32%). The CDUS had an accuracy of 93.94%, sensitivity of 93.55%, and specificity of 100%, detecting 29 true positives, 0 false positives, 2 false negatives, and 2 true negatives. At 84.85% accuracy, 88.89% sensitivity, and 80% specificity, the 2D ECG identified 16 true positives, 3 false positives, 2 false positives, and 12 true negatives. There was a statistically significant (P < 0.05) difference between the accuracy, sensitivity, and specificity of 2D ECG and CDUS. In summary, CDUS was more effective than 2D ECG in diagnosing prenatal FCHD, and it also had a lower rate of missed and incorrect diagnoses.

Prenatal Diagnosis Rate of Critical Congenital Heart Disease Remains Inadequate with Significant Racial/Ethnic and Socioeconomic Disparities and Technical Barriers

Prenatal diagnosis (preDx) of critical congenital heart disease (CCHD) decreases neonatal morbidity and mortality. Obstetrical fetal cardiac imaging guidelines in 2013 aimed to increase preDx. The objectives of this study were to determine the contemporary preDx rate of CCHD and identify maternal-fetal factors and variations in prenatal care that may be potential barriers. This retrospective single center study evaluated maternal demographics and characteristics of infants with CCHD (requiring cardiac catheterization or surgical intervention before 6 months-old) between 2016 and 2019. 58% of the 339 infants with CCHD had preDx. Infants with preDx were more likely to have mothers ≥ 35 years-old (p = 0.028), family history of CHD (p = 0.017), health insurance (p = 0.002), or anatomic scan with perinatology (p < 0.001). Hispanic infants were less likely to have preDx (45.6%, p = 0.005). PreDx rates were higher in infants with extracardiac/genetic anomalies (p < 0.001) and significantly different between CCHD subtypes (76% for single ventricle, 51% for biventricular/four-chamber view, 59% for proximal outflow tract anomalies, and 48% for distal great artery anomalies; p = 0.024). In infants without preDx, 25% of their mothers had indication for, but did not undergo, fetal echocardiography. PreDx rates of CCHD remains inadequate across subtypes detectable by standard fetal cardiac screening views, particularly in uninsured and Hispanic communities.

Geospatial Distribution of Prenatally and Postnatally Diagnosed Congenital Heart Disease: Implications for Equitable Care from a Fetal Heart Society Research Collaborative Study

OBJECTIVE

To characterize patterns in the geospatial distribution of pre- and postnatally diagnosed congenital heart disease (CHD) across 6 surgical centers.

STUDY DESIGN

A retrospective, multicenter case series from the Fetal Heart Society identified patients at 6 centers from 2012 through 2016 with prenatally (PrND) or postnatally (PoND) diagnosed hypoplastic left heart syndrome (HLHS) or d-transposition of the great arteries (TGA). Geospatial analysis for clustering was done by the average nearest neighbor (ANN) tool or optimized hot spot tool, depending on spatial unit and data type. Both point location and county case rate per 10 000 live births were assessed for geographic clustering or dispersion.

RESULTS

Of the 453 CHD cases, 26% were PoND (n = 117), and 74% were PrND (n = 336). PrND cases, in all but one center, displayed significant geographic clustering by the ANN. Conversely, PoND cases tended toward geographic dispersion. Dispersion of PoND HLHS occurred in 2 centers (ANN = 1.59, P < .001; and 1.47, P = .016), and PoND TGA occurred in 2 centers (ANN = 1.22, P < .05; and ANN = 1.73, P < .001). Hot spot analysis of all CHD cases (TGA and HLHS combined) revealed clustering near areas of high population density and the tertiary surgical center. Hot spot analysis of county-level case rate, accounting for population density, found variable clustering patterns.

CONCLUSION

Geographic dispersion among postnatally detected CHD highlights the need for a wider reach of prenatal cardiac diagnosis tailored to the specific needs of a community. Geospatial analysis can support centers in improving the equitable delivery of prenatal care.

Incidence and Antenatal Detection of Congenital Heart Malformations-Data from a Tertiary Obstetric Romanian Center

OBJECTIVES

Congenital heart defects (CHDs) are among the most frequent congenital defects, and they significantly burden the healthcare system due to their high mortality rate and high cost of care for survivors. We aimed to highlight the incidence of CHDs in a tertiary center in Western Romania.

METHODS

A retrospective study was carried out between 2018 and 2022 at the "Pius Brinzeu" Emergency County Hospital Timisoara. Relevant information about the mothers and the newborns were collected and statistically analyzed.

RESULTS

The incidence of CHDs from 2018 to 2022 in our center was 5.3%. Eleven types of malformations were diagnosed postnatally in 541 newborns, with 28.8% of cases having more than one type of CHD. The antenatal detection rate was 28%, with the highest rates for tetralogy of Fallot, hypoplastic left heart syndrome, or significant ventricular septal defects and the lowest for pulmonary stenosis. The lower antenatal detection rate was influenced mainly by incomplete or absent prenatal care.

CONCLUSIONS

The incidence of CHDs is clearly dependent of a multifactorial approach, and the results highlight this. With an incidence almost 50% lower than reported within the literature and a low rate of prenatal detections, CHDs could be a more of a burden to endure regarding medical treatment. Improvements in patients' education, prenatal care, and screening programs could improve diagnosis, decrease mortality, and optimize postnatal care.

The Role of Social Determinants in Diagnosis Timing for Fetal Care Center-Eligible Conditions: A Scoping Review

Timely identification of fetal conditions enables comprehensive evaluation, counseling, postnatal planning, and prenatal treatments. This study assessed the existing evidence on how social determinants of health (SDOH) influence diagnosis timing of fetal conditions appropriate for care in fetal care centers (FCCs). Eligible studies were conducted in the U.S. and published in English after 1999. We employed the Healthy People 2020 SDOH framework to categorize and analyze data from 16 studies, where 86% focused solely on congenital heart disease (CHD). Studies primarily focused on individual-level SDOH, with only 36% addressing structural-level factors. A total of 31 distinct indicators of SDOH were identified, with 68% being unique to individual studies. Indicators often varied in definition and specificity. Three studies covered all five SDOH categories in the Healthy People 2020 Framework. Studies revealed varying and often conflicting associations with SDOH indicators, with race and ethnicity being the most explored (100%), followed by socioeconomic status (69%), maternal age (57%), residence (43%), and structural factors (29%). Our findings highlight the need for more comprehensive research, including conditions beyond CHD, and the establishment of consensus on indicators of SDOH. Such efforts are necessary to gain a deeper understanding of the underlying factors driving disparities in fetal diagnosis and treatment.

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.

Update on Prenatal Detection Rate of Critical Congenital Heart Disease Before and During the COVID-19 Pandemic

Prenatal diagnosis of critical congenital heart disease (CCHD) has improved over time, and previous studies have identified CCHD subtype and socioeconomic status as factors influencing rates of prenatal diagnosis. Our objective of this single-center study was to compare prenatal diagnosis rates of newborns with CCHD admitted for cardiac intervention from the COVID-19 pandemic period (March 2020 to March 2021) to the pre-pandemic period and identify factors associated with the lack of CCHD prenatal diagnosis. The overall rate of CCHD and rates of the various CCHD diagnoses were calculated and compared with historical data collection periods (2009-2012 and 2013-2016). Compared with the 2009-2012 pre-pandemic period, patients had 2.17 times higher odds of having a prenatal diagnosis of CCHD during the pandemic period controlling for lesion type (aOR = 2.17, 95% CI 1.36-3.48, p = 0.001). Single ventricle lesions (aOR 6.74 [4.64-9.80], p < 0.001) and outflow tract anomalies (aOR 2.20 [1.56-3.12], p < 0.001) had the highest odds of prenatal diagnosis compared with the remaining lesions. Patients with outflow tract anomalies had higher odds for prenatal detection in the pandemic period compared with during the 2009-2012 pre-pandemic period (aOR 2.01 [1.06-3.78], p = 0.031). In conclusion, prenatal detection of CCHD among newborns presenting for cardiac intervention appeared to have improved during the pandemic period.

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.

Homogenous access to fetal cardiac care in a heterogeneous state

BACKGROUND

Timely prenatal diagnosis of CHD allows families to participate in complex decisions and plan for the care of their child. This study sought to investigate whether timing of initial fetal echocardiogram and the characteristics of fetal counselling were impacted by parental socio-economic factors.

METHODS

Retrospective chart review of fetal cardiac patients from 1 January, 2017 to 31 December, 2018. We reviewed gestational age at first fetal echo, maternal age and ethnicity, zip code, rurality index, and hospital distance. Counselling was evaluated based on documentation regarding use of interpreter, time billed for counselling, and treatment option chosen.

RESULTS

Total of 139 maternal-fetal dyads were included, and 29 dyads had single-ventricle heart disease. There was no difference in income, hospital distance or rurality index, and first fetal echo timing. There was no significant difference between maternal ethnicity and maternal age, gestational age at initial visit, or follow-up. Patients in rural areas had increased counselling time (p < .05). There was no difference between socio-economic factors and ultimate parental choices (termination, palliative delivery, or cardiac interventions).

CONCLUSION

Oregon comprises a heterogeneous population from a large geographical catchment. While prenatal counselling and family decision-making are multifaceted, we demonstrated that dyads were referred from across the state and received care in a uniformly timely manner, and once at our centre received consistent counselling despite differences in parental socio-economic factors.

Patient-reported barriers to prenatal diagnosis of congenital heart defects: A mixed-methods study

OBJECTIVE

To ascertain patient-reported, modifiable barriers to prenatal diagnosis of congenital heart defects (CHDs).

METHODS

This was a mixed-methods study among caretakers of infants who received congenital heart surgery from 2019 to 2020 in the Chicagoland area. Quantitative variables measuring sociodemographic characteristics and prenatal care utilization, and qualitative data pertaining to patient-reported barriers to prenatal diagnosis were collected from electronic health records and semi-structured phone surveys. Thematic analysis was performed using a convergent parallel approach.

RESULTS

In total, 160 caretakers completed the survey, 438 were eligible for survey, and 49 (31%) received prenatal care during the COVID-19 pandemic. When comparing respondents and non-respondents, there was a lower prevalence of maternal Hispanic ethnicity and a higher prevalence of non-English/Spanish-speaking households. Of all respondents, 34% reported an undetected CHD on ultrasound or echocardiogram, while 79% reported at least one barrier to prenatal diagnosis related to social determinants of health. Among those social barriers, the most common were difficulty with appointment scheduling (n = 12, 9.5%), far distance to care/lack of access to transportation (n = 12, 9.5%) and difficulty getting time off work to attend appointments (n = 6, 4.8%). The latter two barriers were correlated.

CONCLUSION

While technical improvements in the detection of CHDs remain an important area of research, it is equally critical to produce evidence for interventions that mitigate barriers to prenatal diagnosis due to social determinants of health.

Racial and Ethnic Disparities in U.S Children Undergoing Surgery for Congenital Heart Disease: A Narrative Literature Review

Congenital Heart Disease (CHD) is a significant source of pediatric morbidity and mortality. As in other fields of medicine, studies have demonstrated racial and ethnic disparities in congenital heart disease outcomes. The cause of these outcome disparities is multifactorial, involving biological, behavioral, environmental, sociocultural, and systemic medical factors. Potential contributors include differences in preoperative illness severity secondary to coexisting medical conditions, differences in the rate of prenatal and early postnatal detection of CHD, and delayed access to care, as well as discrepancies in socioeconomic and insurance status, and systemic disparities in hospital care. Understanding the factors that contribute to these disparities is an essential step towards developing strategies to address them. As stewards of the perioperative surgical home, anesthesiologists have an important role in developing institutional policies that mitigate racial disparities. Here, we provide a thorough narrative review of recent research concerning perioperative factors contributing to surgical outcomes disparities for children of all ages with CHD, examine potentially modifiable contributing factors, discuss avenues for future research, and suggest strategies to address disparities both locally and nationally.

Joint programmes in paediatric cardiac surgery: an update and descriptive analysis

OBJECTIVE

Joint programmes are an alternative model that may aid in improving congenital cardiac surgery outcomes while avoiding the potential resource and accessibility challenges that could result from regionalisation. This study aims to characterise current joint programmes, identify factors that are associated with joint programme success and failure, and gauge attitudes within the profession regarding joint programmes as an alternative.

METHODS

A multiple choice survey with 23 standard questions for all programmes and additional 42 additional questions for each participant hospital in a joint programme was addressed to paediatric cardiac surgeons in the United States of America. Questions were designed to qualitatively and quantitatively characterise congenital cardiac surgery joint programmes.

RESULTS

Of the 34 unique congenital cardiac surgery programmes identified in this survey, 14 have participated in a joint programme and 50% of those joint programmes existed for more than 10 years. Most joint programmes (86%) participate or participated in a model where the hospital participants are engaged in a "mother-daughter" relationship in both perception and case volume distribution. In three out of four defunct joint programmes, there were case complexity limitations placed on partner institutions, but the now independent partner institutions operate with no limitation on complexity. Most (71%) hospital participants in a joint programme felt that the joint programme produced better outcomes than two separate programmes; however, among those who participate or have participated in a joint programme, only 18% felt that joint programmes were the optimal model for delivery of congenital cardiac surgical care.

Structural Racism, Social Determinants of Health, and Provider Bias: Impact on Brain Development in Critical Congenital Heart Disease

Critical congenital heart disease (cCHD) has neurodevelopmental sequelae that can carry into adulthood, which may be due to aberrant brain development or brain injury in the prenatal and perinatal/neonatal periods and beyond. Health disparities based on the intersection of sex, geography, race, and ethnicity have been identified for poorer pre- and postnatal outcomes in the general population, as well as those with cCHD. These disparities are likely driven by structural racism, disparities in social determinants of health, and provider bias, which further compound negative brain development outcomes. This review discusses how aberrant brain development in cCHD early in life is affected by reduced access to quality care (ie, prenatal care and testing, postnatal care) due to divestment in non-White neighbourhoods (eg, redlining) and food insecurity, differences in insurance status, location of residence, and perceived interpersonal racism and bias that disproportionately affects pregnant people of colour who have fewer economic resources. Suggestions are discussed for moving forward with implementing strategies in medical education, clinical care, research, and gaining insight into the communities served to combat disparities and bias while promoting cultural humility.

Impact of rural residence and low socioeconomic status on rate and timing of prenatal detection of major congenital heart disease in a jurisdiction of universal health coverage

OBJECTIVE

Socioeconomic status (SES) and distance of residence from tertiary care may impact fetal detection of congenital heart disease (CHD), partly through reduced access to and quality of obstetric ultrasound screening. It is unknown whether SES and remoteness of residence (RoR) affect prenatal detection of CHD in jurisdictions with universal health coverage. We examined the impact of SES and RoR on the rate and timing of prenatal diagnosis of major CHD within the province of Alberta in Canada.

METHODS

In this retrospective study, we identified all fetuses and infants diagnosed with major CHD in Alberta, from 2008 to 2018, that underwent cardiac surgical intervention within the first year after birth, died preoperatively, were stillborn or underwent termination. Using maternal residence postal code and geocoding, Chan SES index quintile, geographic distance from a tertiary-care fetal cardiology center and the Canadian Index of Remoteness (IoR) were calculated. Outcome measures included rates of prenatal diagnosis and diagnosis after 22 weeks' gestation. Risk ratios (RR) were calculated using log-binomial regression and stratified by rural (≥ 100 km from tertiary care) or metropolitan (< 100 km from tertiary care) residence, adjusting for year of birth and the obstetric ultrasound screening view in which CHD would most likely be detected (four-chamber view; outflow-tract view; three-vessel or three-vessels-and-trachea or non-standard view; septal view).

RESULTS

Of 1405 fetuses/infants with major CHD, prenatal diagnosis occurred in 814 (57.9%). Residence ≥ 100 km from tertiary care (adjusted RR, 1.19; 95% CI, 1.05-1.34) and higher IoR (adjusted RR, 1.9; 95% CI, 1.1-3.3) were associated with missed prenatal diagnosis of major CHD. Similarly, residence ≥ 100 km from tertiary care (adjusted RR, 1.41; 95% CI, 1.22-1.62) and higher IoR (adjusted RR, 3.6; 95% CI, 2.2-8.2) were associated with prenatal diagnosis after 22 weeks. Although adjusted and unadjusted analyses showed no association between Chan SES index quintile and prenatal-diagnosis rate overall nor for residence in rural areas, in metropolitan regions, lower SES quintiles were associated with missed prenatal diagnosis (quintile 1: RR, 1.24; 95% CI, 1.02-1.50) and higher risk of diagnosis after 22 weeks' gestation (quintile 1: RR, 1.46; 95% CI, 1.10-1.93; quintile 2: RR, 1.66; 95% CI, 1.24-2.23).

CONCLUSIONS

Despite universal healthcare, rural residence in Alberta is associated with lower rate of prenatal diagnosis of major CHD and higher risk of late prenatal diagnosis (≥ 22 weeks). Within metropolitan regions, lower SES impacts negatively prenatal-diagnosis rate and timing. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Distance from home to birth hospital, transfer, and mortality in neonates with hypoplastic left heart syndrome in California

BACKGROUND

Prior studies report a lower risk of mortality among neonates with hypoplastic left heart syndrome (HLHS) who are born at a cardiac surgical center, but many neonates with HLHS are born elsewhere and transferred for repair. We investigated the associations between the distance from maternal home to birth hospital, the need for transfer after birth, sociodemographic factors, and mortality in infants with HLHS in California from 2006 to 2011.

METHODS

We used linked data from two statewide databases to identify neonates for this study. Three groups were included in the analysis: "lived close/not transferred," "lived close/transferred," and "lived far/not transferred." We defined "lived close" versus "lived far" as 11 miles, the median distance from maternal residence to birth hospital. Log-binomial regression models were used to identify the association between sociodemographic variables, distance to birth hospital and transfer. Cox proportional hazards models were used to identify the association between mortality and distance to birth hospital and transfer. Models were adjusted for sociodemographic variables.

RESULTS

Infants in the lived close/not transferred and the lived close/transferred groups (vs. the lived far/not transferred group) were more likely to live in census tracts above the 75th percentile for poverty with relative risks 1.94 (95% confidence interval [CI] 1.41-2.68) and 1.21 (95% CI 1.05-1.40), respectively. Neonatal mortality was higher among the lived close/not transferred group compared with the lived far/not transferred group (hazard ratio 1.77, 95% CI 1.17-2.67).

CONCLUSIONS

Infants born to mothers experiencing poverty were more likely to be born close to home. Infants with HLHS who were born close to home and not transferred to a cardiac center had a higher risk of neonatal mortality than infants who were delivered far from home and not transferred. Future studies should identify the barriers to delivery at a cardiac center for mothers experiencing poverty.

Use of fetal tele-echo at small regional hospitals increases the rate of prenatal diagnosis of congenital heart disease

BACKGROUND

To improve the rate of prenatal diagnosis of Congenital heart disease (CHD) in Kentucky, four fetal tele-echocardiography sites were established at regional hospitals in Kentucky: Ashland in 2011, Paducah in 2014, Lexington in 2014, and Owensboro in 2016.

METHODS

A 13-year retrospective review of medical records at Norton Children's Hospital was performed to identify patients with CHD who had cardiac surgery or intervention prior to one year of age. The rate of prenatal diagnosis prior to establishing any fetal tele-echocardiography sites was compared to the rate of prenatal diagnosis after the sites were established. Independent t-tests were used to determine if there was a statistically significant increase in the rate of prenatal diagnosis.

RESULTS

1287 patients had cardiac surgery or cath lab intervention prior to one year of age at our institution from June 2005 to December 2018 and were included in the analysis. Seventeen patients were excluded due to incomplete medical records. The rate of prenatal diagnosis prior to the implementation of the first fetal tele-echocardiography site was 13.8% and after the sites were established, the prenatal diagnosis rate was 39.7% (p < 0.01).

CONCLUSION

Increasing the number of fetal tele-echocardiography sites at small regional hospitals in Kentucky was associated with a statistically significant increase in the rate of prenatal diagnosis for patients less than 1 year of age who had cardiac surgery or cath lab intervention at Norton Children's Hospital in Louisville. Fetal tele-echocardiography is an effective method to improve the rate of prenatal diagnosis in regions served by small regional hospitals with limited access to fetal echocardiography.

Disparities in surgical outcomes of neonates with congenital heart disease across regions, centers, and populations

OBJECTIVE

To summarize existing literature on neonatal disparities in congenital heart disease surgical outcomes and identify potential policies to address these disparities.

FINDING

Disparities in outcomes for neonatal congenital heart surgery were largely published under four domains: race/ethnicity, insurance type, neighborhood/socioeconomic status, and cardiac center characteristics. While existing research identifies associations between these domains and mortality, more nuanced analyses are emerging to understand the mediators between these domains and other non-mortality outcomes, as well as potential interventions and policies to reduce disparities. A broader look into social determinants of health (SDOH), prenatal diagnosis, proximity of birth to a cardiac surgical center, and post-surgical outpatient and neurodevelopmental follow-up may accelerate interventions to mitigate disparities in outcomes.

CONCLUSION

Understanding the mechanisms of how SDOH relate to neonatal surgical outcomes is paramount, as disparities research in neonatal congenital heart surgery continues to shift from identification and description, to intervention and policy.

Racial and ethnic disparities in coronary, vascular, structural, and congenital heart disease

Cardiovascular disease (CVD) remains the leading cause of death in the United States. However, percutaneous interventional cardiovascular therapies are often underutilized in Blacks, Hispanics, and women and may contribute to excess morbidity and mortality in these vulnerable populations. The Society for Cardiovascular Angiography and Interventions (SCAI) is committed to reducing racial, ethnic, and sex-based treatment disparities in interventional cardiology patients. Accordingly, each of the SCAI Clinical Interest Councils (coronary, peripheral, structural, and congenital heart disease [CHD]) participated in the development of this whitepaper addressing disparities in diagnosis, treatment, and outcomes in underserved populations. The councils were charged with summarizing the available data on prevalence, treatment, and outcomes and elucidating potential reasons for any disparities. Given the huge changes in racial and ethnic composition by age in the United States (Figure 1), it was difficult to determine disparities in rates of diagnosis and we expected to find some racial differences in prevalence of disease. For example, since the average age of patients undergoing transcatheter aortic valve replacement (TAVR) is 80 years, one may expect 80% of TAVR patients to be non-Hispanic White. Conversely, only 50% of congenital heart interventions would be expected to be performed in non-Hispanic Whites. Finally, we identified opportunities for SCAI to advance clinical care and equity for our patients, regardless of sex, ethnicity, or race.