Contemporary Socioeconomic and Childhood Opportunity Disparities in Congenital Heart Surgery

Impact of Residual Lesion Severity on Neurodevelopmental Outcomes Following Congenital Heart Surgery in Infancy and Childhood

Children with congenital heart disease are at increased risk of neurodevelopmental delay throughout their lifespan. This risk is exacerbated following congenital heart surgery (CHS) in infancy. However, there are few modifiable risk factors for postoperative neurodevelopmental delay. In this study, we assessed the Residual Lesion Score (RLS), a quality assessment metric that evaluates residual lesion severity following CHS, as a predictor of neurodevelopmental delay. This was a single-center, retrospective review of patients who underwent CHS from 01/2011 to 03/2021 and post-discharge neurodevelopmental evaluation from 12 to 42 months of age using the Bayley Scales of Infant Development, 3rd Edition (BSID-III). RLS was assigned per published criteria: RLS 1, no residua; RLS 2, minor residua; and RLS 3, major residua or pre-discharge reintervention. Associations between RLS and BSID-III scores, as well as trends in neurodevelopmental outcomes over time, were evaluated. Of 517 patients with median age at neurodevelopmental testing of 20.0 (IQR 18.0-22.7) months, 304 (58.8%), 146 (28.2%), and 67 (13.0%) were RLS 1, 2, and 3, respectively. RLS 3 patients had significantly lower scaled scores in the cognitive, receptive, and expressive communication, and fine and gross motor domains, compared with RLS 1 patients. Multivariable models accounted for 21.5%-31.5% of the variation in the scaled scores, with RLS explaining 1.4-7.3% of the variation. In a subgroup analysis, RLS 3 patients demonstrated relatively fewer gains in cognitive, expressive communication, and gross motor scores over time (all p < 0.05). In conclusion, RLS 3 patients are at increased risk for neurodevelopmental delay, warranting closer follow-up and greater developmental support for cognitive, language, and motor skills soon after surgery.

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.

Social Determinants of Health and Outcomes After Pediatric Ventricular Assist Device Implantation

BACKGROUND

Limited research exists on the influence of social determinants of health (SDOH) on outcomes in pediatric patients with advanced heart failure receiving mechanical circulatory support.

METHODS

Linkage of the Pediatric Interagency Registry for Mechanical Circulatory Support (Pedimacs) and Society of Thoracic Surgeon's Congenital Heart Surgery Database (STS-CHSD) identified pediatric patients who underwent ventricular assist device (VAD) implantation from 2012 to 2022 with available residential zip codes. Utilizing the available zip codes, each patient was assigned a Childhood Opportunity Index (COI) score. Level of childhood opportunity, race, and insurance type were used as proxies for SDOH. Major outcomes included death, transplant, alive with device, and recovery. Secondary outcomes were adverse events. Statistical analyses were performed using the Kaplan-Meier survival, competing risk analyses, and multivariable Cox proportional hazards model.

RESULTS

Three hundred seventeen patients were included in the study. Childhood opportunity level and insurance status did not significantly impact morbidity or mortality after VAD implantation. White race was associated with reduced 1-year survival (71% in White vs. 87% in non-White patients, p = 0.05) and increased risk of pump thrombosis (p = 0.02).

CONCLUSION

Childhood opportunity level and insurance status were not linked to morbidity and mortality in pediatric patients after VAD implantation. Notably, White race was associated with higher mortality rates. The study underscores the importance of considering SDOH in evaluating advanced therapies for pediatric heart failure and emphasizes the need for accurate socioeconomic data collection in future studies and national registries.

Childhood Opportunity and Acute Interstage Outcomes: A National Pediatric Cardiology Quality Improvement Collaborative Analysis

BACKGROUND

The interstage period after discharge from stage 1 palliation carries high morbidity and mortality. The impact of social determinants of health on interstage outcomes is not well characterized. We assessed the relationship between childhood opportunity and acute interstage outcomes.

METHODS

Infants discharged home after stage 1 palliation in the National Pediatric Quality Improvement Collaborative Phase II registry (2016-2022) were retrospectively reviewed. Zip code-level Childhood Opportunity Index (COI), a composite metric of 29 indicators across education, health and environment, and socioeconomic domains, was used to classify patients into 5 COI levels. Acute interstage outcomes included death or transplant listing, unplanned readmission, intensive care unit admission, unplanned catheterization, and reoperation. The association between COI level and acute interstage outcomes was assessed using logistic regression with sequential adjustment for potential confounders.

RESULTS

The analysis cohort included 1837 patients from 69 centers. Birth weight (P<0.001) and proximity to a surgical center at birth (P=0.02) increased with COI level. Stage 1 length of stay decreased (P=0.001), and exclusive oral feeding rate at discharge increased (P<0.001), with higher COI level. More than 98% of patients in all COI levels were enrolled in home monitoring. Death or transplant listing occurred in 101 (5%) patients with unplanned readmission in 987 (53%), intensive care unit admission in 448 (24%), catheterization in 345 (19%), and reoperation in 83 (5%). There was no difference in the incidence or time to occurrence of any acute interstage outcome among COI levels in unadjusted or adjusted analysis. There was no interaction between race and ethnicity and childhood opportunity in acute interstage outcomes.

CONCLUSIONS

Zip code COI level is associated with differences in preoperative risk factors and stage 1 palliation hospitalization characteristics. Acute interstage outcomes, although common across the spectrum of childhood opportunity, are not associated with COI level in an era of highly prevalent home monitoring programs. The role of home monitoring in mitigating disparities during the interstage period merits further investigation.

Assessing the Impact of Neighborhood and Built Environment on Pediatric Perioperative Care: A Systematic Review of the Literature

CONTEXT

Neighborhood and built environment encompass one key area of the Social Determinants of Health (SDOH) and is frequently assessed using area-level indices.

OBJECTIVE

We sought to systematically review the pediatric surgery literature for use of commonly applied area-level indices and to compare their utility for prediction of outcomes.

DATA SOURCES

A literature search was conducted using PubMed, Ovid MEDLINE, Ovid MEDLINE Epub Ahead of Print, PsycInfo, and an artificial intelligence search tool (1/2013-2/2023).

STUDY SELECTION

Inclusion required pediatric surgical patients in the US, surgical intervention performed, and use of an area-level metric.

DATA EXTRACTION

Extraction domains included study, patient, and procedure characteristics.

RESULTS

Area Deprivation Index is the most consistent and commonly accepted index. It is also the most granular, as it uses Census Block Groups. Child Opportunity Index is less granular (Census Tract), but incorporates pediatric-specific predictors of risk. Results with Social Vulnerability Index, Neighborhood Deprivation Index, and Neighborhood Socioeconomic Status were less consistent.

LIMITATIONS

All studies were retrospective and quality varied from good to fair.

CONCLUSIONS

While each index has strengths and limitations, standardization on ideal metric(s) for the pediatric surgical population will help build the inferential power needed to move from understanding the role of SDOH to building meaningful interventions towards equity in care.

TYPE OF STUDY

Systematic Review.

LEVEL OF EVIDENCE

Level III.

Associations between Child Opportunity Index and Pediatric Cardiac Surgical Outcomes

OBJECTIVE

To assess the relationship between the Child Opportunity Index (COI), a comprehensive measurement of social determinants of health, and specific COI domains on patient-specific outcomes following congenital cardiac surgery in the metropolitan region of Atlanta, Georgia.

STUDY DESIGN

In this retrospective chart review, we included patients who underwent an index operation for congenital heart disease between 2010 and 2020 in a single pediatric health care system. Patients' addresses were geocoded and mapped to census tracts. Descriptive statistics, univariable analysis, and multivariable regression models were employed to assess associations between variables and outcomes.

RESULTS

Of the 7460 index surgeries, 3798 (51%) met eligibility criteria. Presence of an adverse outcome, defined as either mortality or 1 of several other major postoperative morbidities, was significantly associated with COI in the univariable model (P = .008), but not the multivariable regression model (P = .39). Postoperative hospital length of stay was significantly associated with COI (P < .001) in univariable and multivariable regression models. There was no significant association between COI and readmission within 30 days of hospital discharge in univariable (P < .094) and multivariable (P = .49) models.

CONCLUSION

COI is associated with postoperative hospital length of stay but not all outcomes in patients after congenital heart surgery. By understanding the role of COI in outcomes related to cardiac surgery, targeted interventions can be developed to improve health equity.

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.

Association of social determinants of health-related diagnosis codes with postoperative outcomes

BACKGROUND

The association of an individual's social determinants of health-related problems with surgical outcomes has not been well-characterized. The objective of this study was to determine whether documentation of social determinants of a health-related diagnosis code (Z code) is associated with postoperative outcomes.

METHODS

This retrospective cohort study included surgical cases from a single institution's national surgical quality improvement program (NSQIP) clinical registry from October 2015 to December 2021. The primary predictor of interest was documentation of a Z code for social determinants of health-related problems. The primary outcome was 30-day postoperative morbidity. Secondary outcomes included postoperative length of stay, disposition, and 30-day postoperative mortality, reoperation, and readmission. Multivariable regression models were fit to evaluate the association between the documentation of a Z code and outcomes.

RESULTS

Of 10,739 surgical cases, 348 patients (3.2%) had a documented social determinants of health-related Z code. In multivariable analysis, documentation of a Z code was associated with increased odds of morbidity (20.7% vs. 9.9%; adjusted odds ratio [aOR], 1.88; 95% confidence interval [CI], 1.39-2.53), length of stay (median, 3 vs. 1 day; incidence rate ratio, 1.49; 95% CI, 1.33-1.67), odds of disposition to a location other than home (11.3% vs. 3.9%; aOR, 2.86; 95% CI, 1.89-4.33), and odds of readmission (15.3% vs. 6.1%; aOR, 1.99; 95% CI, 1.45-2.73).

CONCLUSIONS

Social determinants of health-related problems evaluated using Z codes were associated with worse postoperative outcomes. Improved documentation of social determinants of health-related problems among surgical patients may facilitate improved risk stratification, perioperative planning, and clinical outcomes.

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.

Prognostic utility of a novel risk prediction model of 1-year mortality in patients surviving to discharge after surgery for congenital or acquired heart disease

OBJECTIVE

We sought to develop a novel risk prediction model of 1-year mortality after congenital heart surgery that accounts for clinical, anatomic, echocardiographic, and socioeconomic factors.

METHODS

This was a single-center, retrospective review of consecutive index operations for congenital or acquired heart disease, from January 2011 to January 2021, among patients with known survival status at 1 year after discharge from the index hospitalization. The primary outcome was postdischarge mortality at 1 year. Variables of interest included age, prematurity, noncardiac anomalies or syndromes, the Childhood Opportunity Index, primary procedure, major adverse postoperative complications, and the Residual Lesion Score. Logistic regression was used to develop a weighted risk score for the primary outcome. Internal validation using a bootstrap-resampling approach was performed.

RESULTS

Of 10,412 consecutive operations for congenital or acquired heart disease, 8808 (84.6%) cases met entry criteria, including survival to discharge. There were 190 (2.2%) deaths at 1 year postdischarge. A weighted risk score was formulated on the basis of the variables in the final risk prediction model, which included all aforementioned risk factors of interest. This model had a C-statistic of 0.82 (95% confidence interval, 0.80-0.85). The median risk score was 6 (interquartile range, 4-8) points. Patients were categorized as low (score 0-5), medium (score 6-10), high (score 11-15), or very high (score 16-20) risk. The expected probability of mortality was 0.4% ± 0.2%, 2.0% ± 1.1%, 10.1% ± 5.0%, and 36.6% ± 9.6% for low-risk, medium-risk, high-risk, and very high-risk patients, respectively.

CONCLUSIONS

A risk prediction model of 1-year mortality may guide prognostication and follow-up of patients after discharge after surgery for congenital or acquired heart disease.

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

BACKGROUND

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

OBJECTIVES

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Insight into the Role of the Child Opportunity Index on Surgical Outcomes in Congenital Heart Disease

OBJECTIVE

To use neighborhood-level Child Opportunity Index (COI) measures to investigate disparities in congenital heart surgery postoperative outcomes and identify potential targets for intervention.

STUDY DESIGN

In this single-institution retrospective cohort study, children <18 years old who underwent cardiac surgery between 2010 and 2020 were included. Patient-level demographics and neighborhood-level COI were used as predictor variables. COI-a composite US census tract-based score measuring educational, health/environmental, and social/economic opportunities-was dichotomized as lower (<40th percentile) vs higher (≥40th percentile). Cumulative incidence of hospital discharge was compared between groups using death as a competing risk, adjusting for clinical characteristics associated with outcomes. Secondary outcomes included hospital readmission and death within 30 days.

RESULTS

Among 6247 patients (55% male) with a median age of 0.8 years (IQR, 0.2-4.3), 26% had lower COI. Lower COI was associated with longer hospital lengths of stay (adjusted HR, 1.2; 95% CI, 1.1-1.2; P < .001) and an increased risk of death (adjusted OR, 2.0; 95% CI. 1.4-2.8; P < .001), but not hospital readmission (P = .6). At the neighborhood level, lacking health insurance coverage, food/housing insecurity, lower parental literacy and college attainment, and lower socioeconomic status were associated with longer hospital length of stay and increased risk of death. At the patient-level, public insurance (adjusted OR, 1.4; 95% CI, 1.0-2.0; P = .03) and caretaker Spanish language (adjusted OR 2.4; 95% CI, 1.2-4.3; P < .01) were associated with an increased risk of death.

CONCLUSIONS

Lower COI is associated with longer length of stay and higher early postoperative mortality. Risk factors identified including Spanish language, food/housing insecurity, and parental literacy serve as potential intervention targets.

Impact of Neighborhood Socioeconomic Status on Outcomes Following First-Stage Palliation of Single Ventricle Heart Disease

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