Early and long-term outcomes following cardiac surgery for patients with heterotaxy syndrome.

Objective: Heterotaxy syndrome is a complex multisystem abnormality historically associated with high morbidity and mortality. We sought to evaluate the early and long-term outcomes after cardiac surgery in heterotaxy syndrome. Methods: This is a single-center retrospective review of patients with heterotaxy syndrome undergoing single-ventricle palliation or primary or staged biventricular repair from 1998 to 2018. Patients were stratified by single ventricle versus biventricular physiology, and the severity of atrioventricular valve regurgitation. Demographics, anatomic characteristics, and early and late outcomes, including the length of stay, mortality, and surgical or catheter reinterventions, were analyzed. Results: Among 250 patients, 150 (60%) underwent biventricular repair. In-hospital mortality was 7.6% (n = 19). Median follow-up was 5.2 (range, 0-16) years. Among survivors to discharge, mortality was 19% (n = 44) and reintervention was 52% (n = 120). Patients with moderate/severe atrioventricular valve regurgitation were older (32 vs 16 months, P = .02), were more likely to experience adverse events during their index surgical admission (72% vs 46%, P < .001), and had longer in-hospital length of stay (20 vs 12 days, P = .009). Among patients with moderate to severe atrioventricular valve regurgitation, single-ventricle palliation is associated with a greater risk of unplanned reintervention compared with patients undergoing biventricular repair (hazard ratio, 2.13; CI, 1.10-4.12; P = .025). Conclusions: There was no significant difference in early or late outcomes in single-ventricle versus biventricular repair strategies in heterotaxy. In the subgroup of patients with moderate/severe atrioventricular valve regurgitation, patients who underwent single-ventricle palliation were 2.5 times more likely to need a late reintervention compared with those undergoing biventricular repair.

Optimized Risk Score to Predict Mortality in Patients With Cardiogenic Shock in the Cardiac Intensive Care Unit.

Background Mortality prediction in critically ill patients with cardiogenic shock can guide triage and selection of potentially high-risk treatment options. Methods and Results We developed and externally validated a checklist risk score to predict in-hospital mortality among adults admitted to the cardiac intensive care unit with Society for Cardiovascular Angiography & Interventions Shock Stage C or greater cardiogenic shock using 2 real-world data sets and Risk-Calibrated Super-sparse Linear Integer Modeling (RiskSLIM). We compared this model to those developed using conventional penalized logistic regression and published cardiogenic shock and intensive care unit mortality prediction models. There were 8815 patients in our training cohort (in-hospital mortality 13.4%) and 2237 patients in our validation cohort (in-hospital mortality 22.8%), and there were 39 candidate predictor variables. The final risk score (termed BOS,MA2) included maximum blood urea nitrogen ≥25 mg/dL, minimum oxygen saturation <88%, minimum systolic blood pressure <80 mm Hg, use of mechanical ventilation, age ≥60 years, and maximum anion gap ≥14 mmol/L, based on values recorded during the first 24 hours of intensive care unit stay. Predicted in-hospital mortality ranged from 0.5% for a score of 0 to 70.2% for a score of 6. The area under the receiver operating curve was 0.83 (0.82-0.84) in training and 0.76 (0.73-0.78) in validation, and the expected calibration error was 0.9% in training and 2.6% in validation. Conclusions Developed using a novel machine learning method and the largest cardiogenic shock cohorts among published models, BOS,MA2 is a simple, clinically interpretable risk score that has improved performance compared with existing cardiogenic-shock risk scores and better calibration than general intensive care unit risk scores.

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.

Consistency of Physician Data Across Health Insurer Directories.

This study assesses the consistency of information across publicly available physician directories from 5 large national health insurers.

Prenatal care coordination, racial and socioeconomic inequities, and pre- and post-operative outcomes in hypoplastic left heart syndrome.

OBJECTIVE: We sought to identify associations between prenatal care coordination (PNC) and outcomes in hypoplastic left heart syndrome (HLHS). STUDY DESIGN: We hypothesized that suboptimal PNC is associated with worse pre-operative status. HLHS patients from 2016 through 2019 were identified using a multicenter registry. Optimal PNC was defined as (1) a completed interdisciplinary conference and (2) closed-loop communication with the obstetric team. Associations between PNC and outcomes were identified. RESULTS: Of 1441 patients, 1242 (86%) had prenatal diagnosis. Among those with a prenatal diagnosis, PNC was achieved in only 845 (68%). Suboptimal PNC was associated with adverse events (50% vs 40%, p < 0.001), inotrope need (19% vs 13%, p = 0.007), mechanical ventilation (22% vs 16%, p = 0.016), and parenteral feeding (60% vs 46%, p < 0.001). African-American race and non-commercial insurance were associated with a lower likelihood of optimal PNC (p = 0.006 and p < 0.001, respectively). CONCLUSION: Improving PNC and overcoming racial and socioeconomic barriers are important targets to improve HLHS perinatal care.

Annual Variation in 30-Day Risk-Adjusted Readmission Rates in U.S. Children's Hospitals.

OBJECTIVE: Reducing pediatric readmissions has become a national priority; however, the use of readmission rates as a quality metric remains controversial. The goal of this study was to examine short-term stability and long-term changes in hospital readmission rates. METHODS: Data from the Pediatric Health Information System were used to compare annual 30-day risk-adjusted readmission rates (RARRs) in 47 US children's hospitals from 2016 to 2017 (short-term) and 2016 to 2019 (long-term). Pearson correlation coefficients and weighted Cohen's Kappa statistics were used to measure correlation and agreement across years for hospital-level RARRs and performance quartiles. RESULTS: Median (IQR) 30-day RARRs remained stable from 7.7% (7.0-8.3) in 2016 to 7.6% (7.0-8.1) in 2019. Individual hospital RARRs in 2016 were strongly correlated with the same hospital's 2017 rate (R2 = 0.89 [95% confidence interval (CI) 0.80-0.94]) and moderately correlated with those in 2019 (R2 = 0.49 [95%CI 0.23-0.68]). Short-term RARRs (2016 vs 2017) were more highly correlated for medical conditions than surgical conditions, but correlations between long-term medical and surgical RARRs (2016 vs 2019) were similar. Agreement between RARRs was higher when comparing short-term changes (0.73 [95%CI 0.59-0.86]) than long-term changes (0.45 [95%CI 0.27-0.63]). From 2016 to 2019, RARRs increased by ≥1% in 7 (15%) hospitals and decreased by ≥1% in 6 (13%) hospitals. Only 7 (15%) hospitals experienced reductions in RARRs over the short and long-term. CONCLUSIONS: Hospital-level performance on RARRs remained stable with high agreement over the short-term suggesting stability of readmission measures. There was little evidence of sustained improvement in hospital-level performance over multiple years.

Pediatric and Congenital Cardiovascular Disease Research Challenges and Opportunities: JACC Review Topic of the Week.

The National Heart, Lung, and Blood Institute convened a workshop in August 2021 to identify opportunities in pediatric and congenital cardiovascular research that would improve outcomes for individuals with congenital heart disease across the lifespan. A subsidiary goal was to provide feedback on and visions for the Pediatric Heart Network. This paper summarizes several key research opportunities identified in the areas of: data quality, access, and sharing; aligning cardiovascular research with patient priorities (eg, neurodevelopmental and psychological impacts); integrating research within clinical care and supporting implementation into practice; leveraging creative study designs; and proactively enriching diversity of investigators, participants, and perspectives throughout the research process.

Contemporary Socioeconomic and Childhood Opportunity Disparities in Congenital Heart Surgery.

BACKGROUND: While singular measures of socioeconomic status have been associated with outcomes after surgery for congenital heart disease, the multifaceted pathways through which a child's environment impacts similar outcomes remain incompletely characterized. We sought to evaluate the association between childhood opportunity level and adverse outcomes after congenital heart surgery. METHODS: Data from patients undergoing congenital cardiac surgery from January 2011 to January 2020 at a quaternary referral center were retrospectively reviewed. Outcomes of interest included predischarge (early) mortality or transplant, postoperative hospital length-of-stay, inpatient cost of hospitalization, postdischarge (late) mortality or transplant, and late unplanned reintervention. The primary predictor was a US census tract-based, nationally-normed composite metric of contemporary child neighborhood opportunity comprising 29 indicators across 3 domains (education, health and environment, and socioeconomic), categorized as very low, low, moderate, high, and very high. Associations between childhood opportunity level and outcomes were evaluated using logistic regression (early mortality), generalized linear (length-of-stay and cost), Cox proportional hazards (late mortality), or competing risk (late reintervention) models, adjusting for baseline patient-related factors, case complexity, and residual lesion severity. RESULTS: Of 6133 patients meeting entry criteria, the median age was 2.0 years (interquartile range, 3.6 months-8.3 years). There were 124 (2.0%) early deaths or transplants, the median postoperative length-of-stay was 7 days (interquartile range, 5-13 days), and the median inpatient cost was $76 000 (interquartile range, $50 000-130 000). No significant association between childhood opportunity level and early mortality or transplant was observed (P=0.21). On multivariable analysis, children with very low and low opportunity had significantly longer length-of-stay and incurred higher costs compared with those with very high opportunity (all P<0.05). Of 6009 transplant-free survivors of hospital discharge, there were 175 (2.9%) late deaths or transplants, and 1008 (16.8%) reinterventions at up to 10.5 years of follow-up. Patients with very low opportunity had a significantly greater adjusted risk of late death or transplant (hazard ratio, 1.7 [95% CI, 1.1-2.6]; P=0.030) and reintervention (subdistribution hazard ratio, 1.9 [95% CI, 1.5-2.3]; P<0.001), versus those with very high opportunity. CONCLUSIONS: Childhood opportunity level is independently associated with adverse outcomes after congenital heart surgery. Children from resource-limited settings thus constitute an especially high-risk cohort that warrants closer surveillance and tailored interventions.

Adjusting for Social Risk Factors in Pediatric Quality Measures: Adding to the Evidence Base.

BACKGROUND: Outcome and utilization quality measures are adjusted for patient case-mix including demographic characteristics and comorbid conditions to allow for comparisons between hospitals and health plans. However, controversy exists around whether and how to adjust for social risk factors. OBJECTIVE: To assess an approach to incorporating social risk variables into a pediatric measure of utilization from the Pediatric Quality Measures Program (PQMP). METHODS: We used data from California Medicaid claims (2015-16) and Massachusetts All Payer Claims Database (2014-2015) to calculate health plan performance using measure specifications from the Pediatric Asthma Emergency Department Use measure. Health plan performance categories were assessed using mixed effect negative binomial models with and without adjustment for social risk factors, with both models adjusting for age, gender and chronic condition category. Mixed effects linear models were then used to compare patient social risk for health plans that changed performance categories to patient social risk for health plans that did not. RESULTS: Of 133 health plans, serving 404,649 pediatric patients with asthma, 7% to 13% changed performance categories after social risk adjustment. Health plans that moved to higher performance categories cared for lower socioeconomic status (SES) patients whereas those that moved to lower performance categories cared for higher SES patients. CONCLUSIONS: Adjustment for social risk factors changed performance rankings on the PQMP Pediatric Asthma Emergency Department Use measure for a substantial number of health plans. Some health plans caring for higher risk patients performed more poorly when social risk factors were not included in risk adjustment models. In light of this, social risk factors are incorporated into the National Quality Forum-endorsed measure; whether to incorporate social risk factors into pediatric quality measures will differ depending on the use case.

Age, Sex, Race/Ethnicity, and Income Patterns in Ideal Cardiovascular Health Among Adolescents and Adults in the U.S.

INTRODUCTION: Ideal cardiovascular health is present in <50% of children and <1% of adults, yet its prevalence from adolescence through adulthood has not been fully evaluated. This study characterizes the association of age with ideal cardiovascular health and compares these associations across sex, race/ethnicity, and SES subgroups. METHODS: This study, conducted in 2020, analyzed adolescents and adults aged 12-79 years from the cross-sectional National Health and Nutrition Examination Survey 2005-2016 (N=38,706). Polynomial models were used to model the association of age with ideal cardiovascular health, defined using the American Heart Association's Life's Simple 7 criteria (scales 0-14, with higher values indicating better cardiovascular health). RESULTS: Mean cardiovascular health was lower with increasing age, starting in early adolescence and dropping to a nadir by age 60 years before stabilizing. At age 20 years, only 45% of adults had ideal cardiovascular health (≥5 ideal cardiovascular health metrics), and >50% of adults had poor cardiovascular health (≤2 ideal cardiovascular health metrics) at age 53 years. Women had higher mean cardiovascular health than men in early life but lower mean cardiovascular health from age 60 years onward. Mean cardiovascular health scores were highest for non-Hispanic White and higher-income adults and lowest for non-Hispanic Black and low-income adults across all ages. Mean cardiovascular health scores fell from intermediate to poor levels approximately 30 years earlier for non-Hispanic Black than for non-Hispanic White adults and approximately 35 years earlier for low-income adults than in higher-income adults. CONCLUSIONS: Cardiovascular health scores are lower with increasing age from early adolescence through adulthood. Race/ethnicity and income disparities in cardiovascular health are observed at young ages and are more profound at older ages.

Association of County-Level Availability of Pediatricians With Emergency Department Visits.

OBJECTIVES: The relationship between pediatrician availability and emergency department (ED) attendance is uncertain. We determined whether children in counties with more pediatricians had fewer ED visits. METHODS: We conducted a cross-sectional study of all ED visits among children younger than 18 years from 6 states. We obtained ED visit incidences by county and assessed the relationship to pediatrician density (pediatricians per 1000 children). Possible confounders included state, presence of an urgent care facility in the county, urban-rural status, and quartile of county-level characteristics: English-speaking, Internet access, White race, socioeconomic status, and public insurance. We estimated county-level changes in incidence by pediatrician density adjusting for state and separately for all possible confounders. RESULTS: Each additional pediatrician per 1000 children was associated with a 13.7% (95% confidence interval, -19.6% to -7.5%) decrease in ED visits in the state-adjusted model. In the full model, there was no association (-1.4%, 95% confidence interval, -7.2% to 4.8%). The presence of an urgent care, higher socioeconomic status score, urban status, and higher proportions of White race and nonpublic insurance were each associated with decreased ED visit rates. CONCLUSIONS: Pediatrician density is not associated with decreased ED visits after adjusting for other county demographic factors. Increasing an area's availability of pediatricians may not affect ED attendance.

Availability of Pediatric Inpatient Services in the United States.

OBJECTIVES: We sought to evaluate trends in pediatric inpatient unit capacity and access and to measure pediatric inpatient unit closures across the United States. METHODS: We performed a retrospective study of 4720 US hospitals using the 2008-2018 American Hospital Association survey. We used linear regression to describe trends in pediatric inpatient unit and PICU capacity. We compared trends in pediatric inpatient days and bed counts by state. We examined changes in access to care by calculating distance to the nearest pediatric inpatient services by census block group. We analyzed hospital characteristics associated with pediatric inpatient unit closure in a survival model. RESULTS: Pediatric inpatient units decreased by 19.1% (34 units per year; 95% confidence interval [CI] 31 to 37), and pediatric inpatient unit beds decreased by 11.8% (407 beds per year; 95% CI 347 to 468). PICU beds increased by 16.0% (66.9 beds per year; 95% CI 53 to 81), primarily at children's hospitals. Rural areas experienced steeper proportional declines in pediatric inpatient unit beds (-26.1% vs -10.0%). Most states experienced decreases in both pediatric inpatient unit beds (median state -18.5%) and pediatric inpatient days (median state -10.0%). Nearly one-quarter of US children experienced an increase in distance to their nearest pediatric inpatient unit. Low-volume pediatric units and those without an associated PICU were at highest risk of closing. CONCLUSIONS: Pediatric inpatient unit capacity is decreasing in the United States. Access to inpatient care is declining for many children, particularly those in rural areas. PICU beds are increasing, primarily at large children's hospitals. Policy and surge planning improvements may be needed to mitigate the effects of these changes.

Trajectories in Neurodevelopmental, Health-Related Quality of Life, and Functional Status Outcomes by Socioeconomic Status and Maternal Education in Children with Single Ventricle Heart Disease.

Trajectories of neurodevelopment and quality of life were analyzed in children with hypoplastic left heart syndrome according to socioeconomic status (SES) and maternal education. Lower SES and less maternal education were associated with greater early delays in communication and problem-solving and progressive delays in problem-solving and fine motor skills over time.

Association of Financial Hardship Because of Medical Bills With Adverse Outcomes Among Families of Children With Congenital Heart Disease.

Importance: Congenital heart disease (CHD) carries significant health care costs and out-of-pocket expenses for families. Little is known about how financial hardship because of medical bills affects families' access to essential needs or medical care. Objective: To assess the national prevalence of financial hardship because of medical bills among families of children with CHD in the US and the association of financial hardship with adverse outcomes. Design, Setting, and Participants: This cross-sectional survey study used data on children 17 years and younger with self-reported CHD from the National Health Interview Survey of US households between 2011 and 2017. Data were analyzed from March 2019 to April 2020. Exposures: Financial hardship because of medical bills was classified into 3 categories: no financial hardship, financial hardship but able to pay medical bills, and unable to pay medical bills. Main Outcomes and Measures: Food insecurity, delayed care because of cost, and cost-related medication nonadherence. Results: Of 188 families of children with CHD (weighted sample of 151 537 families), 48.9% reported some financial hardship because of medical bills, with 17.0% being unable to pay their medical bills at all. Compared with those who denied financial hardships because of medical bills, families who were unable to pay their medical bills reported significantly higher rates of food insecurity (61.8% [SE, 11.0] vs 13.6% [SE, 4.0]; P < .001) and delays in care because of cost (26.2% [SE, 10.4] vs 4.8% [SE, 2.5]; P = .002). Reported medication adherence did not differ across financial hardship groups. After adjusting for age, race/ethnicity, and maternal education, the differences between the groups persisted. The association of financial hardship with adverse outcomes was stronger among patients with private insurance than those with Medicaid. Conclusions and Relevance: In this study, financial hardship because of medical bills was common among families of children with CHD and was associated with high rates of food insecurity and delays in care because of cost, suggesting possible avenues for intervention.

Socioeconomic Status and Long-term Outcomes in Single Ventricle Heart Disease.

BACKGROUND: Low socioeconomic status (SES) has emerged as an important risk factor for higher short-term mortality and neurodevelopmental outcomes in children with hypoplastic left heart syndrome and related anomalies; yet little is known about how SES affects these outcomes over the long-term. METHODS: We linked data from the Single Ventricle Reconstruction trial to US Census Bureau data to analyze the relationship of neighborhood SES tertiles with mortality and transplantation, neurodevelopment, quality of life, and functional status at 5 and 6 years post-Norwood procedure (N = 525). Cox proportional hazards regression and linear regression were used to assess the association of SES with mortality and neurodevelopmental outcomes, respectively. RESULTS: Patients in the lowest SES tertile were more likely to be racial minorities, older at stage 2 and Fontan procedures, and to have more complications and fewer cardiac catheterizations over follow-up (all P < .05) compared with patients in higher SES tertiles. Unadjusted mortality was highest for patients in the lowest SES tertile and lowest in the highest tertile (41% vs 29%, respectively; log-rank P = .027). Adjustment for patient birth and Norwood factors attenuated these differences slightly (P = .055). Patients in the lowest SES tertile reported lower functional status and lower fine motor, problem-solving, adaptive behavior, and communication skills at 6 years (all P < .05). These differences persisted after adjustment for baseline and post-Norwood factors. Quality of life did not differ by SES. CONCLUSIONS: Among patients with hypoplastic left heart syndrome, those with low SES have worse neurodevelopmental and functional status outcomes at 6 years. These differences were not explained by other patient or clinical characteristics.

Trends in 30-Day Readmission for Medicaid and Privately Insured Pediatric Patients: 2010-2017.

BACKGROUND: Children insured by Medicaid have higher readmission rates than privately insured children. However, little is known about whether this disparity has changed over time. METHODS: Data from the 2010 to 2017 Healthcare Cost and Utilization Project Nationwide Readmissions Database were used to compare trends in 30-day readmission rates for children insured by Medicaid and private insurers. Patient-level crude and risk-adjusted readmission rates were compared by using Poisson regression. Hospital-level risk-adjusted readmission rates were compared between Medicaid- and privately insured patients within a hospital by using linear regression. RESULTS: Approximately 60% of pediatric admissions were covered by Medicaid. From 2010 to 2017, the percentage of children with a complex or chronic condition increased for both Medicaid- and privately insured patients. Readmission rates were consistently higher for Medicaid beneficiaries from 2010 to 2017. Readmission rates declined slightly for both Medicaid- and privately insured patients; however, they declined faster for privately insured patients (rate ratio: 0.988 [95% confidence interval: 0.986-0.989] vs 0.995 [95% confidence interval: 0.994-0.996], P for interaction <.001]). After adjustment, readmission rates for Medicaid- and privately insured patients declined at a similar rate (P for interaction = .87). Risk-adjusted hospital readmission rates were also consistently higher for Medicaid beneficiaries. The within-hospital difference in readmission rates for Medicaid versus privately insured patients remained stable over time (slope for difference: 0.015 [SE 0.011], P = .019). CONCLUSIONS: Readmission rates for Medicaid- and privately insured pediatric patients declined slightly from 2010 to 2017 but remained substantially higher among Medicaid beneficiaries suggesting a persistence of the disparity by insurance status.

Fetal Aortic Valvuloplasty for Evolving Hypoplastic Left Heart Syndrome: A Decision Analysis.

BACKGROUND: Fetal aortic valvuloplasty (FAV) may prevent progression of midgestation aortic stenosis to hypoplastic left heart syndrome. However, FAV has well-established risks, and its survival benefit remains unknown. Our primary aim was to determine whether FAV for midgestation aortic stenosis increases survival from fetal diagnosis to age 6 years. METHODS AND RESULTS: We performed a retrospective analysis of 143 fetuses who underwent FAV from 2000 to 2017 and a secondary analysis of the Pediatric Heart Network Single Ventricle Reconstruction trial. Using these results, we developed a decision model to estimate probability of transplant-free survival from fetal diagnosis to age 6 years and postnatal restricted mean transplant-free survival time. FAV was technically successful in 84% of 143 fetuses with fetal demise in 8%. Biventricular circulation was achieved in 50% of 111 live-born infants with successful FAV but in only 16% of the 19 patients with unsuccessful FAV. The model projected overlapping probabilities of transplant-free survival to age 6 years at 75% (95% CI, 67%-82%) with FAV versus 72% (95% CI, 61%-82%) with expectant fetal management, resulting in a restricted mean transplant-free survival time benefit of 1.2 months. When limiting analyses to the improved FAV experience since 2009 to reflect current practice, (probability of technical success [94%], fetal demise [4%], and biventricular circulation [66%]), the model projected that FAV increased the probability of survival to age 6 years to 82% (95% CI, 73%-89%). Expectant management is favored if risk of fetal demise exceeded 12% or probability of biventricular circulation fell below 26%, but FAV remained favored over plausible recent range of technical success. CONCLUSIONS: Our model suggests that FAV provides a modest, medium-term survival benefit over expectant fetal management. Appropriate patient selection and low risk of fetal demise with FAV are critical factors for obtaining a survival benefit.

Suitability of elderly adult hospital readmission rates for profiling readmissions in younger adult and pediatric populations.

OBJECTIVE: To determine the correlation between hospital 30-day risk-standardized readmission rates (RSRRs) in elderly adults and those in nonelderly adults and children. DATA SOURCES/STUDY SETTING: US hospitals (n = 1760 hospitals admitting adult patients and 235 hospitals admitting both adult and pediatric patients) in the 2013-2014 Nationwide Readmissions Database. STUDY DESIGN: Cross-sectional analysis comparing 30-day RSRRs for elderly adult (≥65 years), middle-aged adult (40-64 years), young adult (18-39 years), and pediatric (1-17 years) patients. PRINCIPAL FINDINGS: Hospital elderly adult RSRRs were strongly correlated with middle-aged adult RSRRs (Pearson R2 .69 [95% confidence interval (CI) 0.66-0.71]), moderately correlated with young adult RSRRs (Pearson R2 .44 [95% CI 0.40-0.47]), and weakly correlated with pediatric RSRRs (Pearson R2 .28 [95% CI 0.17-0.38]). Nearly identical findings were observed with measures of interquartile agreement and Kappa statistics. This stepwise relationship between age and strength of correlation was consistent across every hospital characteristic. CONCLUSIONS: Hospital readmission rates in elderly adults, which are currently used for public reporting and hospital comparisons, may reflect broader hospital readmission performance in middle-aged and young adult populations; however, they are not reflective of hospital performance in pediatric populations.