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

BACKGROUND: Socioeconomic factors may lead to a disproportionate impact on health care usage and death among individuals with congenital heart defects (CHD) by race, ethnicity, and socioeconomic factors. How neighborhood poverty affects racial and ethnic disparities in health care usage and death among individuals with CHD across the life span is not well described. METHODS AND RESULTS: Individuals aged 1 to 64 years, with at least 1 CHD-related International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code were identified from health care encounters between January 1, 2011, and December 31, 2013, from 4 US sites. Residence was classified into lower- or higher-poverty neighborhoods on the basis of zip code tabulation area from the 2014 American Community Survey 5-year estimates. Multivariable logistic regression models, adjusting for site, sex, CHD anatomic severity, and insurance-evaluated associations between race and ethnicity, and health care usage and death, stratified by neighborhood poverty. Of 31 542 individuals, 22.2% were non-Hispanic Black and 17.0% Hispanic. In high-poverty neighborhoods, non-Hispanic Black (44.4%) and Hispanic (47.7%) individuals, respectively, were more likely to be hospitalized (adjusted odds ratio [aOR], 1.2 [95% CI, 1.1-1.3]; and aOR, 1.3 [95% CI, 1.2-1.5]) and have emergency department visits (aOR, 1.3 [95% CI, 1.2-1.5] and aOR, 1.8 [95% CI, 1.5-2.0]) compared with non-Hispanic White individuals. In high poverty neighborhoods, non-Hispanic Black individuals with CHD had 1.7 times the odds of death compared with non-Hispanic White individuals in high-poverty neighborhoods (95% CI, 1.1-2.7). Racial and ethnic disparities in health care usage were similar in low-poverty neighborhoods, but disparities in death were attenuated (aOR for non-Hispanic Black, 1.2 [95% CI=0.9-1.7]). CONCLUSIONS: Racial and ethnic disparities in health care usage were found among individuals with CHD in low- and high-poverty neighborhoods, but mortality disparities were larger in high-poverty neighborhoods. Understanding individual- and community-level social determinants of health, including access to health care, may help address racial and ethnic inequities in health care usage and death among individuals with CHD.

Bullying among children with heart conditions, National Survey of Children's Health, 2018-2020.

Children with chronic illnesses report being bullied by peers, yet little is known about bullying among children with heart conditions. Using 2018-2020 National Survey of Children's Health data, the prevalence and frequency of being bullied in the past year (never; annually or monthly; weekly or daily) were compared between children aged 6-17 years with and without heart conditions. Among children with heart conditions, associations between demographic and health characteristics and being bullied, and prevalence of diagnosed anxiety or depression by bullying status were examined. Differences were assessed with chi-square tests and multivariable logistic regression using predicted marginals to produce adjusted prevalence ratios and 95% confidence intervals. Weights yielded national estimates. Of 69,428 children, 2.2% had heart conditions. Children with heart conditions, compared to those without, were more likely to be bullied (56.3% and 43.3% respectively; adjusted prevalence ratio [95% confidence interval] = 1.3 [1.2, 1.4]) and bullied more frequently (weekly or daily = 11.2% and 5.3%; p < 0.001). Among children with heart conditions, characteristics associated with greater odds of weekly or daily bullying included ages 9-11 years compared to 15-17 years (3.4 [2.0, 5.7]), other genetic or inherited condition (1.7 [1.0, 3.0]), ever overweight (1.7 [1.0, 2.8]), and a functional limitation (4.8 [2.7, 8.5]). Children with heart conditions who were bullied, compared to never, more commonly had anxiety (40.1%, 25.9%, and 12.8%, respectively) and depression (18.0%, 9.3%, and 4.7%; p < 0.01 for both). Findings highlight the social and psychological needs of children with heart conditions.

A machine learning model for predicting congenital heart defects from administrative data.

INTRODUCTION: International Classification of Diseases (ICD) codes recorded in administrative data are often used to identify congenital heart defects (CHD). However, these codes may inaccurately identify true positive (TP) CHD individuals. CHD surveillance could be strengthened by accurate CHD identification in administrative records using machine learning (ML) algorithms. METHODS: To identify features relevant to accurate CHD identification, traditional ML models were applied to a validated dataset of 779 patients; encounter level data, including ICD-9-CM and CPT codes, from 2011 to 2013 at four US sites were utilized. Five-fold cross-validation determined overlapping important features that best predicted TP CHD individuals. Median values and 95% confidence intervals (CIs) of area under the receiver operating curve, positive predictive value (PPV), negative predictive value, sensitivity, specificity, and F1-score were compared across four ML models: Logistic Regression, Gaussian Naive Bayes, Random Forest, and eXtreme Gradient Boosting (XGBoost). RESULTS: Baseline PPV was 76.5% from expert clinician validation of ICD-9-CM CHD-related codes. Feature selection for ML decreased 7138 features to 10 that best predicted TP CHD cases. During training and testing, XGBoost performed the best in median accuracy (F1-score) and PPV, 0.84 (95% CI: 0.76, 0.91) and 0.94 (95% CI: 0.91, 0.96), respectively. When applied to the entire dataset, XGBoost revealed a median PPV of 0.94 (95% CI: 0.94, 0.95). CONCLUSIONS: Applying ML algorithms improved the accuracy of identifying TP CHD cases in comparison to ICD codes alone. Use of this technique to identify CHD cases would improve generalizability of results obtained from large datasets to the CHD patient population, enhancing public health surveillance efforts.

Positive Predictive Value of International Classification of Diseases, Ninth Revision, Clinical Modification, and International Classification of Diseases, Tenth Revision, Clinical Modification, Codes for Identification of Congenital Heart Defects.

Background Administrative data permit analysis of large cohorts but rely on International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), and International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes that may not reflect true congenital heart defects (CHDs). Methods and Results CHDs in 1497 cases with at least 1 encounter between January 1, 2010 and December 31, 2019 in 2 health care systems, identified by at least 1 of 87 ICD-9-CM/ICD-10-CM CHD codes were validated through medical record review for the presence of CHD and CHD native anatomy. Interobserver and intraobserver reliability averaged >95%. Positive predictive value (PPV) of ICD-9-CM/ICD-10-CM codes for CHD was 68.1% (1020/1497) overall, 94.6% (123/130) for cases identified in both health care systems, 95.8% (249/260) for severe codes, 52.6% (370/703) for shunt codes, 75.9% (243/320) for valve codes, 73.5% (119/162) for shunt and valve codes, and 75.0% (39/52) for "other CHD" (7 ICD-9-CM/ICD-10-CM codes). PPV for cases with >1 unique CHD code was 85.4% (503/589) versus 56.3% (498/884) for 1 CHD code. Of cases with secundum atrial septal defect ICD-9-CM/ICD-10-CM codes 745.5/Q21.1 in isolation, PPV was 30.9% (123/398). Patent foramen ovale was present in 66.2% (316/477) of false positives. True positives had younger mean age at first encounter with a CHD code than false positives (22.4 versus 26.3 years; P=0.0017). Conclusions CHD ICD-9-CM/ICD-10-CM codes have modest PPV and may not represent true CHD cases. PPV was improved by selecting certain features, but most true cases did not have these characteristics. The development of algorithms to improve accuracy may improve accuracy of electronic health records for CHD surveillance.

Neighborhood social deprivation and healthcare utilization, disability, and comorbidities among young adults with congenital heart defects: Congenital heart survey to recognize outcomes, needs, and well-being 2016-2019.

BACKGROUND: Research on the association between neighborhood social deprivation and health among adults with congenital heart defects (CHD) is sparse. METHODS: We evaluated the associations between neighborhood social deprivation and health care utilization, disability, and comorbidities using the population-based 2016-2019 Congenital Heart Survey To Recognize Outcomes, Needs, and well-beinG (CH STRONG) of young adults. Participants were identified from active birth defect surveillance systems in three U.S. sites and born with CHD between 1980 and 1997. We linked census tract-level 2017 American Community Survey information on median household income, percent of ≥25-year-old with greater than a high school degree, percent of ≥16-year-olds who are unemployed, and percent of families with children <18 years old living in poverty to survey data and used these variables to calculate a summary neighborhood social deprivation z-score, divided into tertiles. Adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) derived from a log-linear regression model with a Poisson distribution estimated the association between tertile of neighborhood social deprivation and healthcare utilization in previous year (no encounters, 1 and ≥2 emergency room [ER] visits, and hospital admission), ≥1 disability, and ≥1 comorbidities. We accounted for age, place of birth, sex at birth, presence of chromosomal anomalies, and CHD severity in all models, and, additionally educational attainment and work status in all models except disability. RESULTS: Of the 1435 adults with CHD, 43.8% were 19-24 years old, 54.4% were female, 69.8% were non-Hispanic White, and 33.7% had a severe CHD. Compared to the least deprived tertile, respondents in the most deprived tertile were more likely to have no healthcare visit (aPR: 1.5 [95% CI: 1.1, 2.1]), ≥2 ER visits (1.6 [1.1, 2.3]), or hospitalization (1.6 [1.1, 2.3]) in the previous 12 months, a disability (1.2 [1.0, 1.5]), and ≥1 cardiac comorbidities (1.8 [1.2, 2.7]). CONCLUSIONS: Neighborhood social deprivation may be a useful metric to identify patients needing additional resources and referrals.

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

BACKGROUND: Limited population-based information is available on long-term survival of US individuals with congenital heart defects (CHDs). Therefore, we assessed patterns in survival from birth until young adulthood (ie, 35 years of age) and associated factors among a population-based sample of US individuals with CHDs. METHODS: Individuals born between 1980 and 1997 with CHDs identified in 3 US birth defect surveillance systems were linked to death records through 2015 to identify those deceased and the year of their death. Kaplan-Meier survival curves, adjusted risk ratios (aRRs) for infant mortality (ie, death during the first year of life), and Cox proportional hazard ratios for survival after the first year of life (aHRs) were used to estimate the probability of survival and associated factors. Standardized mortality ratios compared infant mortality, >1-year mortality, >10-year mortality, and >20-year mortality among individuals with CHDs with general population estimates. RESULTS: Among 11 695 individuals with CHDs, the probability of survival to 35 years of age was 81.4% overall, 86.5% among those without co-occurring noncardiac anomalies, and 92.8% among those who survived the first year of life. Characteristics associated with both infant mortality and reduced survival after the first year of life, respectively, included severe CHDs (aRR=4.08; aHR=3.18), genetic syndromes (aRR=1.83; aHR=3.06) or other noncardiac anomalies (aRR=1.54; aHR=2.53), low birth weight (aRR=1.70; aHR=1.29), and Hispanic (aRR=1.27; aHR=1.42) or non-Hispanic Black (aRR=1.43; aHR=1.80) maternal race and ethnicity. Individuals with CHDs had higher infant mortality (standardized mortality ratio=10.17), >1-year mortality (standardized mortality ratio=3.29), and >10-year and >20-year mortality (both standardized mortality ratios ≈1.5) than the general population; however, after excluding those with noncardiac anomalies, >1-year mortality for those with nonsevere CHDs and >10-year and >20-year mortality for those with any CHD were similar to the general population. CONCLUSIONS: Eight in 10 individuals with CHDs born between1980 and 1997 survived to 35 years of age, with disparities by CHD severity, noncardiac anomalies, birth weight, and maternal race and ethnicity. Among individuals without noncardiac anomalies, those with nonsevere CHDs experienced similar mortality between 1 and 35 years of age as in the general population, and those with any CHD experienced similar mortality between 10 and 35 years of age as in the general population.

Cardiology Care and Loss to Follow-Up Among Adults With Congenital Heart Defects in CH STRONG.

Many of the estimated 1.4 million adults with congenital heart defects (CHDs) in the United States are lost to follow-up (LTF) despite recommendations for ongoing cardiology care. Using 2016 to 2019 CH STRONG (Congenital Heart Survey To Recognize Outcomes, Needs, and well-beinG) data, we describe cardiac care among community-based adults with CHD, born in 1980 to 1997, identified through state birth defects registries. Our estimates of LTF were standardized to the CH STRONG eligible population and likely more generalizable to adults with CHD than clinic-based data. Half of our sample were LTF and more than 45% had not received cardiology care in over 5 years. Of those who received care, only 1 in 3 saw an adult CHD physician at their last encounter. Not knowing they needed to see a cardiologist, being told they no longer needed cardiology care, and feeling "well" were the top reasons for LTF, and only half of respondents report doctors discussing the need for cardiac follow-up.

Reproductive Health Counseling and Concerns Among Women with Congenital Heart Defects With and Without Disabilities.

Background: Women with disabilities are less likely to receive reproductive health counseling than women without disabilities. Yet, little is known about reproductive health counseling and concerns among women with congenital heart defects (CHD) and disabilities. Methods: We used population-based survey data from 778 women aged 19 to 38 years with CHD to examine contraceptive and pregnancy counseling and pregnancy concerns and experiences by disability status, based on six validated questions on vision, hearing, mobility, cognition, self-care, and living independently. Multivariable Poisson regression was used to examine adjusted prevalence ratios between disability status and each outcome, adjusted for CHD severity, age, race/ethnicity, place of birth (Arkansas, Arizona, Georgia), and insurance type. Results: Women with disabilities (n = 323) were 1.4 and 2.3 times more likely than women without disabilities (n = 455) to receive clinician counseling on safe contraceptive methods and avoiding pregnancy because of their CHD. Women with CHD and disabilities, compared to those without disabilities, were more likely to be concerned about their ability to have children (aPR = 1.2) and to have delayed or avoided pregnancy (aPR = 2.2); they were less likely to have ever been pregnant (aPR = 0.7). Associations differed slightly across specific disability types. All associations remained after excluding 71 women with chromosomal anomalies. Conclusion: Among women with CHD, reproductive counseling, concerns, and experiences differ by disability status.

Racial and ethnic disparities in socio-economic status, access to care, and healthcare utilisation among children with heart conditions, National Survey of Children's Health 2016-2019.

Among children with and without heart conditions of different race/ethnicities, upstream social determinants of health, such as socio-economic status, access to care, and healthcare utilisation, may vary. Using caregiver-reported data from the 2016-19 National Survey of Children's Health, we calculated the prevalence of caregiver employment and education, child's health insurance, usual place of medical care in the past 12 months, problems paying for child's care, ≥2 emergency room visits, and unmet healthcare needs by heart condition status and race/ethnicity (Hispanic, non-Hispanic Black, and non-Hispanic White). For each outcome, we used multivariable logistic regression to generate adjusted prevalence ratios controlling for child's age and sex. Of 2632 children with heart conditions and 104,841 without, 65.4% and 58.0% were non-Hispanic White and 52.0% and 51.1% were male, respectively. Children with heart conditions, compared to those without, were 1.7-2.6 times more likely to have problems paying for healthcare, have ≥2 emergency room visits, and have unmet healthcare needs. Hispanic and non-Hispanic Black children with heart conditions, compared to non-Hispanic White, were 1.5-3.2 times as likely to have caregivers employed <50 weeks in the past year and caregivers with ≤ high school education, public or no health insurance, no usual place of care, and ≥2 emergency room visits. Children with heart conditions, compared to those without, may have greater healthcare needs that more commonly go unmet. Among children with heart conditions, Hispanic and non-Hispanic Black children may experience lower socio-economic status and greater barriers to healthcare than non-Hispanic White children.

Reproductive Health of Women with Congenital Heart Defects.

This report provides an overview of the unique reproductive health issues facing women with congenital heart defects (CHDs) and of the clinical care and professional guidelines on contraception, preconception care, and pregnancy for this population. It describes Centers for Disease Control and Prevention (CDC) activities related to surveillance of reproductive health issues among females with CHDs. It also describes CDC's work bringing awareness to physicians who provide care to adolescents and women with CHDs, including obstetrician/gynecologists, about the need for lifelong cardiology care for their patients with CHDs.

Health Insurance Status and Access to Healthcare Among Young Adults with Congenital Heart Disease: from the Congenital Heart Survey To Recognize Outcomes, Needs and Well-beinG (CH STRONG), 2016-2019.

Having health insurance is associated with better access to healthcare and lower rates of comorbidity in the general population, but data are limited on insurance's impact on adults with congenital heart disease (ACHD). The Congenital Heart Survey To Recognize Outcomes, Needs and well-beinG (CH STRONG) was conducted among ACHD in three locations from 2016 to 2019. We performed multivariable logistic regression to determine the associations between health insurance and both access to healthcare and presence of comorbidities. We also compared health insurance and comorbidities among ACHD to similarly-aged individuals in the Behavioral Risk Factor Surveillance System (BRFSS) as a proxy for the general population. Of 1354 CH STRONG respondents, the majority were ≤ 30 years old (83.5%), and 8.8% were uninsured versus 17.7% in the BRFSS (p < 0.01). Compared to insured ACHD, uninsured were less likely to report regular medical care (adjusted odds ratio [aOR] 0.2, 95% confidence interval [CI] 0.1-0.3) and visited an emergency room more often (aOR 1.6, CI 1.0-2.3). Among all ACHD reporting disability, uninsured individuals less frequently received benefits (aOR 0.1, CI 0.0-0.3). Depression was common among uninsured ACHD (22.5%), but insured ACHD had lower rates of depression than insured in the BRFSS (13.3% vs. 22.5%, p < 0.01). In conclusion, rates of insurance were higher among ACHD compared to the general population. Nonetheless, uninsured ACHD inconsistently accessed healthcare and benefits. Further studies are needed to determine if insurance ameliorates the risk of morbidity as ACHD age.

Preterm birth among pregnant persons with severe acute respiratory syndrome Coronavirus 2 infection.

OBJECTIVE: We examined the relationship between trimester of SARS-CoV-2 infection, illness severity, and risk for preterm birth. STUDY DESIGN: We analyzed data for 6336 pregnant persons with SARS-CoV-2 infection in 2020 in the United States. Risk ratios for preterm birth were calculated for illness severity, trimester of infection, and illness severity stratified by trimester of infection adjusted for age, selected underlying medical conditions, and pregnancy complications. RESULT: Pregnant persons with critical COVID-19 or asymptomatic infection, compared to mild COVID-19, in the second or third trimester were at increased risk of preterm birth. Pregnant persons with moderate-to-severe COVID-19 did not show increased risk of preterm birth in any trimester. CONCLUSION: Critical COVID-19 in the second or third trimester was associated with increased risk of preterm birth. This finding can be used to guide prevention strategies, including vaccination, and inform clinical practices for pregnant persons.

How Well Do ICD-9-CM Codes Predict True Congenital Heart Defects? A Centers for Disease Control and Prevention-Based Multisite Validation Project.

Background The Centers for Disease Control and Prevention's Surveillance of Congenital Heart Defects Across the Lifespan project uses large clinical and administrative databases at sites throughout the United States to understand population-based congenital heart defect (CHD) epidemiology and outcomes. These individual databases are also relied upon for accurate coding of CHD to estimate population prevalence. Methods and Results This validation project assessed a sample of 774 cases from 4 surveillance sites to determine the positive predictive value (PPV) for identifying a true CHD case and classifying CHD anatomic group accurately based on 57 International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) codes. Chi-square tests assessed differences in PPV by CHD severity and age. Overall, PPV was 76.36% (591/774 [95% CI, 73.20-79.31]) for all sites and all CHD-related ICD-9-CM codes. Of patients with a code for complex CHD, 89.85% (177/197 [95% CI, 84.76-93.69]) had CHD; corresponding PPV estimates were 86.73% (170/196 [95% CI, 81.17-91.15]) for shunt, 82.99% (161/194 [95% CI, 76.95-87.99]) for valve, and 44.39% (83/187 [95% CI, 84.76-93.69]) for "Other" CHD anatomic group (X2=142.16, P<0.0001). ICD-9-CM codes had higher PPVs for having CHD in the 3 younger age groups compared with those >64 years of age, (X2=4.23, P<0.0001). Conclusions While CHD ICD-9-CM codes had acceptable PPV (86.54%) (508/587 [95% CI, 83.51-89.20]) for identifying whether a patient has CHD when excluding patients with ICD-9-CM codes for "Other" CHD and code 745.5, further evaluation and algorithm development may help inform and improve accurate identification of CHD in data sets across the CHD ICD-9-CM code groups.

Preventive Dental Care and Oral Health of Children and Adolescents With and Without Heart Conditions - United States, 2016-2019.

Approximately 900,000 U.S. children have heart conditions, such as congenital heart disease (1). These children might be at increased risk for life-threatening infective endocarditis from oral bacteria in the bloodstream (2). Therefore, preventive dental care (i.e., check-ups, dental cleaning, radiographs, fluoride treatment, or sealant) to maintain oral health is important. Oral health status and receipt of preventive dental care were compared between children with heart conditions (2,928) and without (116,826) using population-based 2016-2019 National Survey of Children's Health (NSCH) data. Approximately 83% of children with and 80% without heart conditions received preventive dental care in the past year (p = 0.06). Children with heart conditions were more likely than were those without to have poor oral health (17.2% versus 13.7%; p = 0.02) and teeth in fair or poor condition (9.9% versus 5.3%; p<0.01). Among those with a heart condition, having low household income; an intellectual or developmental disability; and no well-child visit or medical home were associated with poor oral health. Receipt of preventive dental care was higher among children aged ≥6 years and those with insurance. Public health practitioners and health care providers can implement strategies (e.g., parent and patient education and collaboration between pediatricians, dentists, and cardiologists) to improve oral health and care among children with heart conditions, especially those with fewer resources and intellectual or developmental disabilities.

Post-traumatic stress disorder, anxiety, and depression among adults with congenital heart defects.

BACKGROUND: Due to invasive treatments and stressors related to heart health, adults with congenital heart defects (CHDs) may have an increased risk of post-traumatic stress disorder (PTSD), anxiety, and/or depressive disorders. Our objectives were to estimate the prevalence of these disorders among individuals with CHDs. METHODS: Using IBM® MarketScan® Databases, we identified adults age 18-49 years with ≥2 outpatient anxiety/depressive disorder claims on separate dates or ≥1 inpatient anxiety/depressive disorder claim in 2017. CHDs were defined as ≥2 outpatient CHD claims ≥30 days apart or ≥1 inpatient CHD claim documented in 2007-2017. We used log-binomial regression to estimate adjusted prevalence ratios (aPR) and 95% confidence intervals (CI) for associations between CHDs and anxiety/depressive disorders. RESULTS: Of 13,807 adults with CHDs, 12.4% were diagnosed with an anxiety or depressive disorder. Adults with CHDs, compared to the 5,408,094 without CHDs, had higher prevalence of PTSD (0.8% vs. 0.5%; aPR: 1.5 [CI: 1.2-1.8]), anxiety disorders (9.9% vs. 7.5%; aPR: 1.3 [CI: 1.3-1.4]), and depressive disorders (6.3% vs. 4.9%; aPR: 1.3 [CI: 1.2-1.4]). Among individuals with CHDs, female sex (aPR range: 1.6-3.3) and inpatient admission (aPR range 1.1-1.9) were associated with anxiety/depressive disorders. CONCLUSION: Over 1 in 8 adults with CHDs had diagnosed PTSD and/or other anxiety/depressive disorders, 30-50% higher than adults without CHDs. PTSD was rare, but three times more common in women with CHDs than men. Screening and referral for services for these conditions in people with CHDs may be beneficial.

Disability Among Young Adults With Congenital Heart Defects: Congenital Heart Survey to Recognize Outcomes, Needs, and Well-Being 2016-2019.

Background Disabilities have implications for health, well-being, and health care, yet limited information is available on the percentage of adults with congenital heart defects (CHD) living with disabilities. We evaluated the prevalence of disability and associated characteristics among the 2016-2019 CH STRONG (Congenital Heart Survey to Recognize Outcomes, Needs, and Well-Being) population-based sample of 19- to 38-year-olds with CHD from 3 US locations. Methods and Results Prevalence of disability types (hearing, vision, cognition, mobility, self-care, living independently) were compared with similarly aged adults from the general population as estimated by the American Community Survey and standardized to the CH STRONG eligible population to reduce nonresponse bias and confounding. Health-related quality of life (HRQOL) was measured via Patient-Reported Outcomes Measurement Information System Global Health Scale T-scores standardized to US 18- to 34-year-olds. Separate multivariable regression models assessed associations between disability and HRQOL. Of 1478 participants, 40% reported disabilities, with cognition most prevalent (29%). Of those reporting disability, 45% ever received disability benefits and 46% were unemployed. Prevalence of disability types were 5 to 8 times higher in adults with CHD than the general population. Those with ≥1 disability had greater odds of being female, and of having non-Hispanic Black maternal race and ethnicity, severe CHD, recent cardiac care, and noncardiac congenital anomalies. On average, adults with CHD and cognition, mobility, and self-care disabilities had impaired mental HRQOL and those with any disability type had impaired physical HRQOL. Conclusions Two of 5 adults with CHD may have disabilities, which are associated with impaired HRQOL. These results may inform healthcare needs and services for this growing population.