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.

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.

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.

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.

Access to cardiac surgery centers for cardiac and non-cardiac hospitalizations in adolescents and adults with congenital heart defects- a descriptive case series study.

BACKGROUND: Individuals with congenital heart defects (CHDs) are recommended to receive all inpatient cardiac and noncardiac care at facilities that can offer specialized care. We describe geographic accessibility to such centers in New York State and determine several factors associated with receiving care there. METHODS: We used inpatient hospitalization data from the Statewide Planning and Research Cooperative System (SPARCS) in New York State 2008-2013. In the absence of specific adult CHD care center designations during our study period, we identified pediatric/adult and adult-only cardiac surgery centers through the Cardiac Surgery Reporting System to estimate age-based specialized care. We calculated one-way drive and public transit time (in minutes) from residential address to centers using R gmapsdistance package and the Google Maps Distance Application Programming Interface (API). We calculated prevalence ratios using modified Poisson regression with model-based standard errors, fit with generalized estimating equations clustered at the hospital level and subclustered at the individual level. RESULTS: Individuals with CHDs were more likely to seek care at pediatric/adult or adult-only cardiac surgery centers if they had severe CHDs, private health insurance, higher severity of illness at encounter, a surgical procedure, cardiac encounter, and shorter drive time. These findings can be used to increase care receipt (especially for noncardiac care) at pediatric/adult or adult-only cardiac surgery centers, identify areas with limited access, and reduce disparities in access to specialized care among this high-risk population.

Individuals aged 1-64 years with documented congenital heart defects at healthcare encounters, five U.S. surveillance sites, 2011-2013.

BACKGROUND: Many individuals born with congenital heart defects (CHD) survive to adulthood. However, population estimates of CHD beyond early childhood are limited in the U.S. OBJECTIVES: To estimate the percentage of individuals aged 1-to-64 years at five U.S. sites with CHD documented at a healthcare encounter during a three-year period and describe their characteristics. METHODS: Sites conducted population-based surveillance of CHD among 1 to 10-year-olds (three sites) and 11 to 64-year-olds (all five sites) by linking healthcare data. Eligible cases resided in the population catchment areas and had one or more healthcare encounters during the surveillance period (January 1, 2011-December 31, 2013) with a CHD-related ICD-9-CM code. Site-specific population census estimates from the same age groups and time period were used to assess percentage of individuals in the catchment area with a CHD-related ICD-9-CM code documented at a healthcare encounter (hereafter referred to as CHD cases). Severe and non-severe CHD were based on an established mutually exclusive anatomic hierarchy. RESULTS: Among 42,646 CHD cases, 23.7% had severe CHD and 51.5% were male. Percentage of CHD cases among 1 to 10-year-olds, was 6.36/1,000 (range: 4.33-9.96/1,000) but varied by CHD severity [severe: 1.56/1,000 (range: 1.04-2.64/1,000); non-severe: 4.80/1,000 (range: 3.28-7.32/1,000)]. Percentage of cases across all sites in 11 to 64-year-olds was 1.47/1,000 (range: 1.02-2.18/1,000) and varied by CHD severity [severe: 0.34/1,000 (range: 0.26-0.49/1,000); non-severe: 1.13/1,000 (range: 0.76-1.69/1,000)]. Percentage of CHD cases decreased with age until 20 to 44 years and, for non-severe CHD only, increased slightly for ages 45 to 64 years. CONCLUSION: CHD cases varied by site, CHD severity, and age. These findings will inform planning for the needs of this growing population.

Advance Care Directives Among a Population-Based Sample of Young Adults with Congenital Heart Defects, CH STRONG, 2016-2019.

Little is known about advance care planning among young adults with congenital heart defects (CHD). Congenital Heart Survey to Recognize Outcomes, Needs, and well-beinG (CH STRONG) participants were born with CHD between 1980 and 1997, identified using active, population-based birth defects surveillance systems in Arkansas, Arizona and Atlanta, and Georgia, and surveyed during 2016-2019. We estimated the percent having an advance care directive standardized to the site, year of birth, sex, maternal race, and CHD severity of the 9312 CH STRONG-eligible individuals. We calculated adjusted odds ratios (aOR) and 95% confidence intervals (CI) for characteristics associated with having advance care directives. Of 1541 respondents, 34.1% had severe CHD, 54.1% were female, and 69.6% were non-Hispanic white. After standardization, 7.3% had an advance care directive (range: 2.5% among non-Hispanic blacks to 17.4% among individuals with "poor" perceived health). Individuals with severe CHD (10.5%, aOR = 1.6, 95% CI: 1.1-2.3), with public insurance (13.1%, aOR = 1.7, 95% CI: 1.1-2.7), with non-cardiac congenital anomalies (11.1%, aOR = 1.9, 95% CI: 1.3-2.7), and who were hospitalized in the past year (13.3%, aOR = 1.8, 95% CI: 1.1-2.8) were more likely than their counterparts to have advance care directives. Individuals aged 19-24 years (6.6%, aOR = 0.4, 95% CI: 0.3-0.7) and 25-30 years (7.6%, aOR = 0.5, 95% CI: 0.3-0.8), compared to 31-38 years (14.3%), and non-Hispanic blacks (2.5%), compared to non-Hispanic whites (9.5%, aOR = 0.2, 95% CI: 0.1-0.6), were less likely to have advance care directives. Few young adults with CHD had advance care directives. Disparities in advance care planning may exist.

Contraceptive methods of privately insured US women with congenital heart defects.

BACKGROUND: The American Heart Association recommends women with congenital heart defects (CHD) receive contraceptive counseling early in their reproductive years, but little is known about contraceptive method use among women with CHD. We describe recent female sterilization and reversible prescription contraceptive method use by presence of CHD and CHD severity in 2014. METHODS: Using IBM MarketScan Commercial Databases, we included women aged 15 to 44 years with prescription drug coverage in 2014 who were enrolled ≥11 months annually in employer-sponsored health plans between 2011 and 2014. CHD, CHD severity, contraceptive methods, and obstetrics-gynecology and cardiology provider encounters were identified using billing codes. We used log-binomial regression to calculate adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) to compare contraceptive method use overall and by effectiveness tier by CHD presence and, for women with CHD, severity. RESULTS: Recent sterilization or current reversible prescription contraceptive method use varied slightly among women with (39.2%) and without (37.3%) CHD, aPR = 1.04, 95% CI [1.01-1.07]. Women with CHD were more likely to use any Tier I method (12.9%) than women without CHD (9.3%), aPR = 1.41, 95% CI [1.33-1.50]. Women with severe, compared to non-severe, CHD were less likely to use any method, aPR = 0.85, 95% CI [0.78-0.92], or Tier I method, aPR = 0.84, 95% CI [0.70-0.99]. Approximately 60% of women with obstetrics-gynecology and <40% with cardiology encounters used any included method. CONCLUSIONS: There may be missed opportunities for providers to improve uptake of safe, effective contraceptive methods for women with CHD who wish to avoid pregnancy.

Rationale and design of CH STRONG: Congenital Heart Survey To Recognize Outcomes, Needs, and well-beinG.

Studies of outcomes among adults with congenital heart defects (CHDs) have focused on those receiving cardiac care, limiting generalizability. The Congenital Heart Survey To Recognize Outcomes, Needs, and well-beinG (CH STRONG) will assess comorbidities, health care utilization, quality of life, and social and educational outcomes from a US population-based sample of young adults living with CHD. METHODS: Individuals with CHD born between 1980 and 1997 were identified using active, population-based birth defects surveillance systems from 3 US locations (Arkansas [AR]; Arizona [AZ]; and Atlanta, Georgia [GA]) linked to death records. Individuals with current contact information responded to mailed survey materials during 2016 to 2019. Respondents and nonrespondents were compared using χ2 tests. RESULTS: Sites obtained contact information for 74.6% of the 9,312 eligible individuals alive at recruitment. Of those, 1,656 returned surveys, either online (18.1%) or via paper (81.9%), for a response rate of 23.9% (AR: 18.3%; AZ: 30.7%; Atlanta, GA: 28.0%; P value < .01). For 20.0% of respondents, a proxy completed the survey, with 63.9% reporting that the individual with CHD was mentally unable. Among respondents and nonrespondents, respectively, sex (female: 54.0% and 47.3%), maternal race/ethnicity (non-Hispanic white: 74.3% and 63.0%), CHD severity (severe: 33.8% and 27.9%), and noncardiac congenital anomalies (34.8% and 38.9%) differed significantly (P value < .01); birth year (1991-1997: 56.0% and 57.5%) and presence of Down syndrome (9.2% and 8.9%) did not differ. CONCLUSIONS: CH STRONG will provide the first multisite, population-based findings on long-term outcomes among the growing population of US adults with CHD.

Potential risk factors for Ebstein anomaly, National Birth Defects Prevention Study, 1997-2011.

BACKGROUND: Ebstein anomaly is a rare congenital heart defect (CHD) that, when severe, requires corrective surgery or other catheter-based intervention in the first year of life. Due to its rarity, risk factors for Ebstein anomaly remain largely unknown. Using national data, we examined 18 potential risk factors for Ebstein anomaly. METHODS: Using 1997-2011 data from the National Birth Defects Prevention Study, a population-based case-control study, we calculated crude and adjusted odds ratios and 95% confidence intervals for paternal age, maternal socio-demographics, reproductive history, and modifiable risk factors, and infant characteristics reported by mothers of 135 Ebstein anomaly cases and 11,829 controls. RESULTS: Mothers of Ebstein anomaly cases had 4.1 (95% confidence interval: 1.8, 9.5) times the odds of reporting a family history of CHD compared with mothers of controls. Ebstein anomaly was associated with maternal second-hand cigarette smoke exposure at home (odds ratio = 2.2 [95% confidence interval: 1.1, 4.4]), but not maternal cigarette smoking (odds ratio = 1.3 [95% confidence interval: 0.8, 2.1]). Odds were elevated, but the 95% confidence interval included 1.0, for maternal marijuana use (odds ratio = 1.8 [95% confidence interval: 0.9, 3.8]) and paternal age ≥40 years at delivery (odds ratio = 1.9 [95% confidence interval: 1.0, 3.5]). CONCLUSIONS: Maternal exposure to second-hand cigarette smoke at home and a family history of CHD were associated with elevated odds of Ebstein anomaly. Genetic analyses could clarify the potential heritability of Ebstein anomaly.

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.

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.

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.

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.

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.

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.

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.

Changes in rates of adverse pregnancy outcomes during the COVID-19 pandemic: a cross-sectional study in the United States, 2019-2020.

OBJECTIVE: Our objective was to assess differences in pregnancy outcomes during the COVID-19 pandemic compared to the previous year. STUDY DESIGN: In a cross-sectional study of delivery hospitalizations in the Premier Healthcare Database Special COVID-19 Release, we assessed differences in selected maternal and pregnancy outcomes occurring April-December in 2019 and 2020 in the United States. RESULT: Among 663,620 deliveries occurring in 2019 and 614,093 deliveries occurring in 2020, we observed an increase in in-hospital maternal death from 2019 to 2020, which was no longer statistically significant after excluding deliveries with a COVID-19 diagnosis. Intensive care unit admission and preterm birth decreased from 2019 to 2020. There was no difference in the prevalence of most other outcomes examined. CONCLUSION: The full impact of the COVID-19 pandemic on maternal and pregnancy outcomes remains to be understood. Most outcomes investigated experienced minimal change from 2019 to 2020.

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.