Limited Accuracy of Administrative Data for the Identification and Classification of Adult Congenital Heart Disease

Worldwide prevalence of heart failure due to congenital heart disease: An analysis from the Global Burden of Disease Study 2021

Background

There are limited data on the prevalence of heart failure (HF) due to congenital heart diseases (CHD).

Methods

The Global Burden of Disease (GBD) dataset was used to analyze the disease burden of HF due to CHD between 1990 and 2021. Age-standardized rates (ASR) (crude prevalence rates for age groups) and total percent change for the overall worldwide burden as well as among subgroups based on age and geographic regions were determined.

Results

The global prevalence of HF due to CHD in 1990 and 2021 was 2,494,547 (95 % IU 2,054,729 to 3,030,909) and 3,155,991 (95 % IU 2,578,552 to 3,843,062) individuals respectively, with an increase in ASR from 41.02 (33.79-49.79) to 45.33 (37.15-55.17) per 100,000 individuals during that period. HF due to CHD in 2021 was most common in children aged 2-4, crude rate of 248.44 (195.99-302.57), followed by children <1 years of age, crude rate of 142.75 (116.87-174.26), and children aged 5-14, crude rate of 89.55 (62.35-129.61). During the study period, there was an increase in the prevalence of HF due to CHD among most age groups, other than children <1 year of age who had stable rates and individuals >70 who had no reported prevalence. There were geographic differences in the prevalence and trends of HF due to CHD.

Conclusions

There are differences in prevalence and trends of HF due to CHD among age groups and worldwide regions. These results demonstrate the worldwide burden and trends of HF due to CHD.

A Generalized Machine Learning Model for Identifying Congenital Heart Defects (CHDs) Using ICD Codes

BACKGROUND

International Classification of Diseases (ICD) codes utilized for congenital heart defect (CHD) case identification in datasets have substantial false-positive (FP) rates. Incorporating machine learning (ML) algorithms following case selection by ICD codes may improve the accuracy of CHD identification, enhancing surveillance efforts.

METHODS

Traditional ML methods were applied to four encounter-level datasets, 2010-2019, for 3334 patients with validated diagnoses and with at least one CHD ICD code identified. A 5-fold cross-validation approach was applied to the dataset to determine the set of overlapping important features best classifying CHD cases. Training and testing combinations were explored to determine the approach yielding the most accurate CHD classification.

RESULTS

CHD ICD positive predictive values (PPVs) by site ranged from 53.2% to 84.0%. The ML algorithm achieved a PPV of 95% (1273/1340) for the four-site dataset with a false-negative (FN) rate of 33% (639/1912) by choosing an operating point prioritizing PPV from the PPV-FN rate curve. XGBoost reduced 2105 Clinical Classification Software (CCS) features to 137 that identified those with true-positive (TP) CHD and false-positive FP classification.

CONCLUSION

Applying ML algorithms following case selection by CHD-related ICD codes improved the accuracy of identifying TP true-positive CHD cases.

Association between insurance type, clinical characteristics, and healthcare use in adults with congenital heart disease

Introduction

Adults with congenital heart disease (CHD) represent a heterogeneous and growing population with high healthcare utilization. We sought to understand the association between insurance type, healthcare use, and outcomes among adults with CHD in Oregon.

Methods

The Oregon All Payers All Claims database from 2010 to 2017 was queried for adults aged 18-65 in 2014 with ICD-9 or 10 codes consistent with CHD; patient demographics, comorbidities, healthcare use, and disease severity were identified. Insurance type was categorized as either public (Medicare and Medicaid) or private (commercial). Descriptive statistics were used to compare groups. Use rates and odds ratios were calculated representing probability of at least one event per person-year using logistic regression with clustering on patients.

Results

Of 13,792 adults with CHD, 48 % had a form of public insurance. More publicly insured patients had moderate or severe anatomic complexity (29.5 % vs. 23.0 %; p < 0.0001), treatment for drug and alcohol use (25.0 % vs. 7.2 %; p < 0.0001), and mental health diagnoses (66.6 % vs. 51.0 %; p < 0.0001). They were more likely to reside in a rural area (24.5 % vs. 16.1 %; p < 0.0001). Adjusted for age and CHD severity, publicly insured patients were less likely to access overall ambulatory care (aOR 0.72, 99 % CI 0.66 to 0.80) but more likely to access emergency (aOR 3.86, 99 % CI 3.62 to 4.12) and inpatient (aOR 3.06, 99 % CI 2.81 to 3.33) care, as shown in Fig. 1. Length of hospital stay (5.7 vs. 4.4 days, p < 0.0001) and rates of 30-day readmission (17.1 % vs. 11.0 %, p < 0.001) were higher in those with public insurance. However, individuals with public insurance were significantly more likely to undergo their annual guideline-indicated echocardiogram (aOR 1.49, 99 % CI 1.23 to 1.80) and attend their annual ACHD visits (aOR 1.62, 99 % CI 1.40 to 1.87).

Conclusions

Our study shows that publicly insured adults with CHD in Oregon have more anatomically complex disease, more comorbidities, and higher healthcare use. While they were more likely to receive guideline-indicated ACHD care, they were also higher utilizers of emergency room and inpatient resources, implying that they may benefit from targeted interventions to improve outcomes and decrease unplanned healthcare use.

Bicuspid aortic stenosis: National three-year outcomes of transcatheter versus surgical aortic valve replacement among Medicare beneficiaries

OBJECTIVE

Randomized trials of transcatheter versus surgical aortic valve replacements have excluded bicuspid anatomy. We compared 3-year outcomes of transcatheter aortic valve replacement versus surgical aortic valve replacement in patients aged more than 65 years with bicuspid aortic stenosis.

METHODS

The Centers for Medicare and Medicaid data were used to identify 6450 patients undergoing isolated surgical aortic valve replacement (n = 3771) or transcatheter aortic valve replacement (n = 2679) for bicuspid aortic stenosis (2012-2019). Propensity score matching with 21 baseline characteristics including frailty created 797 pairs.

RESULTS

Unmatched patients undergoing transcatheter aortic valve replacement were older than patients undergoing surgical aortic valve replacement (78 vs 70 years), with more comorbidities and frailty (all P < .001). After matching, transcatheter aortic valve replacement was associated with a similar mortality risk compared with surgical aortic valve replacement within the first 6 months (hazard ratio [HR], 1.08, 95% CI, 0.67-1.69) but a higher mortality risk between 6 months and 3 years (HR, 2.16, 95% CI, 1.22-3.83). Additionally, transcatheter aortic valve replacement was associated with a lower risk of heart failure readmissions before 6 months (HR, 0.51, 95% CI, 0.31-0.87) but a higher risk between 6 months and 3 years (HR, 4.78, 95% CI, 2.21-10.36). The 3-year risks of aortic valve reintervention (HR, 1.03, 95% CI, 0.30-3.56) and stroke (HR, 1.21, 95% CI, 0.75-1.96) were similar.

CONCLUSIONS

Among matched Medicare beneficiaries undergoing transcatheter aortic valve replacement or surgical aortic valve replacement for bicuspid aortic stenosis, 3-year mortality was higher after transcatheter aortic valve replacement. However, transcatheter aortic valve replacement was associated with a similar risk of mortality and a lower risk of heart failure readmissions during the first 6 months after the intervention. Randomized comparative data are needed to best inform treatment choice.

Temporal Trends of Infant Mortality Secondary to Congenital Heart Disease: National CDC Cohort Analysis (1999-2020)

BACKGROUND

Infant mortality continues to be a significant problem for patients with congenital heart disease (CHD). Limited data exist on the recent trends of mortality in infants with CHD.

METHODS

The CDC WONDER (Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research) was queried to identify deaths occurring within the United States with CHD listed as one of the causes of death between 1999 and 2020. Subsequently, trends were calculated using the Joinpoint regression program (version 4.9.1.0; National Cancer Institute).

RESULTS

A total of 47,015 deaths occurred in infants due to CHD at the national level from the year 1999 to 2020. The overall proportional infant mortality (compared to all deaths) declined (47.3% to 37.1%, average annual percent change [AAPC]: -1.1 [95% CI -1.6 to -0.6, p < 0.001]). There was a significant decline in proportional mortality in both Black (45.3% to 34.3%, AAPC: -0.5 [-0.8 to -0.2, p = 0.002]) and White patients (55.6% to 48.6%, AAPC: -1.2 [-1.7 to -0.7, p = 0.001]), with a steeper decline among White than Black patients. A statistically significant decline in the proportional infant mortality in both non-Hispanic (43.3% to 33.0%, AAPC: -1.3% [95% CI -1.9 to -0.7, p < 0.001]) and Hispanic (67.6% to 57.7%, AAPC: -0.7 [95% CI -0.9 to -0.4, p < 0.001]) patients was observed, with a steeper decline among non-Hispanic infant population. The proportional infant mortality decreased in males (47.5% to 53.1%, AAPC: -1.4% [-1.9 to -0.9, p < 0.001]) and females (47.1% to 39.6%, AAPC: -0.9 [-1.9 to 0.0, p = 0.05]). A steady decline in for both females and males was noted.

CONCLUSION

Our study showed a significant decrease in CHD-related mortality rate in infants and age-adjusted mortality rate (AAMR) between 1999 and 2020. However, sex-based, racial/ethnic disparities were noted, with female, Black, and Hispanic patients showing a lesser decline than male, White, and non-Hispanic patients.

Sex differences in transcatheter aortic valve replacement outcomes among patients with bicuspid aortic stenosis

BACKGROUND

Despite comprising almost half of all patients undergoing valvular repair, data on transcatheter aortic valve replacement (TAVR) in patients with bicuspid aortic stenosis (BAS) are limited.

OBJECTIVE

We aimed to evaluate whether there are any sex differences in trends and outcomes of TAVR in this population.

METHODS

We utilized the National Inpatient Sample from 2012 to 2020 to identify admissions with BAS who underwent TAVR and analyzed trends and outcomes. Our primary outcome was in-hospital mortality and secondary outcomes were in-hospital complications. We used two models to adjust for demographics (A) and interventions (B).

RESULTS

Between 2012 to 2020, there were 76,540 hospitalizations for BAS patients who underwent AVR, among which 6,010 (7.9 %) underwent TAVR. There was an overall increasing trend in number of TAVR cases with a decreasing trend in mortality (2013: 8.7 %, 2020: 1.3 %). TAVR was performed more in males (61.1% vs 38.9 %). Despite the worse baseline characteristics in males, in-hospital mortality (2.4% vs. 1.5 %; OR: 1.584; 95 % CI: 0.621-4.038; p = 0.335) and secondary outcomes were similar across both sexes, even after adjusting for demographics and interventions.

CONCLUSION

TAVR in BAS has grown rapidly in the last decade. Males comprised the majority and had more comorbidities, but mortality and complications were similar in both sexes. Despite the increasing number of cases, a decreasing trend in mortality was observed for both sexes ultimately approaching that of SAVR, suggesting that TAVR may be a safe alternative among eligible males and females with bicuspid AS.

Associations of short-term changes in obesity indices with all-cause mortality and cardiovascular disease

OBJECTIVE

This study aimed to investigate how short-term changes (1-, 3-, and 5-year) in obesity measures affect mortality and cardiovascular disease (CVD) risk.

METHODS

We analyzed longitudinal data from the MJ Health Centre (n = 43,304 for the 1-year study; 24,295 for the 3-year study; 16,138 for the 5-year study) with median follow-up periods of 15.8, 13.9, and 12.3 years, respectively. Associations of short-term obesity indices changes with mortality and Framingham Risk Score changes were explored using time-dependent coefficient Cox regression models, restricted cubic splines, and multivariable linear regression models.

RESULTS

All-cause mortality was negatively associated with short-term weight and BMI changes, with greater reductions causing poorer outcomes. Compared with stable groups, short-term reduced weight and BMI were associated with greater risks of all-cause mortality and CVD-specific mortality (5-year study only). Also, either 1- and 3-year reduced or 3-year increased waist circumference and waist to height ratio were related to higher all-cause and CVD deaths than stable groups, respectively. Nonlinear relationships indicated lower cutoff values for short-term changes in obesity indices in predicting all-cause mortality. Decreased obesity indices significantly improved CVD profiles.

CONCLUSIONS

Short-term changes in obesity indices show complex mortality risks, urging personalized approaches beyond a simple weight loss focus.

Measuring misclassification and sample bias in passive surveillance systems: Improving prevalence estimates of critical congenital heart defects in state-based passive surveillance systems

OBJECTIVES

We assessed reporting misclassification for 12 critical congenital heart defects (CCHDs) identified through administrative diagnosis codes within a passive surveillance system. We measured the effect of misclassification on prevalence estimation. Lastly, we investigated a sample-based review strategy to estimate surveillance misclassification resulting from administrative diagnosis codes for case detection.

METHODS

We received 419 reports of CCHDs between 2007 and 2018; 414 were clinically reviewed. We calculated confirmation probabilities to assess misclassification and adjust prevalence estimates. Random samples of reported cases were taken at proportions between 20% and 90% for each condition to assess sample bias. Sampling was repeated 1000 times to measure sample-estimate variability.

RESULTS

Misclassification ranged from a low of 19% (n = 4/21) to a high of 84% (n = 21/25). Unconfirmed prevalence rates ranged between one and six cases per 10,000 live births, with some conditions significantly higher than national estimates. However, confirmed rates were either lower or comparable to national estimates.

CONCLUSION

Passive birth defect surveillance programs that rely on administrative diagnosis codes for case identification of CCHDs are subject to misclassification that bias prevalence estimates. We showed that a sample-based review could improve the prevalence estimates of 12 cardiovascular conditions relative to their unconfirmed prevalence rates.

Mortality and Morbidity of Heart Failure Hospitalization in Adult Patients With Congenital Heart Disease

BACKGROUND

Little is known about outcomes following heart failure (HF) hospitalization among adults with congenital heart disease (CHD) in the United States. We aim to compare the outcomes of HF versus non-HF hospitalizations in adults with CHD.

METHODS AND RESULTS

Using a national deidentified administrative claims data set, patients with adult congenital heart disease (ACHD) hospitalized with and without HF (ACHDHF+, ACHDHF-) were characterized to determine the predictors of 90-day and 1-year mortality and quantify the risk of mortality, major adverse cardiac and cerebrovascular events, and health resource use. Cox proportional hazard regression was used to compare ACHDHF+ versus ACHDHF- for risk of events and health resource use. Of 26 454 unique ACHD admissions between January 1, 2010 and December 31, 2020, 5826 (22%) were ACHDHF+ and 20 628 (78%) were ACHDHF-. The ACHD HF+ hospitalizations increased from 6.6% to 14.0% (P<0.0001). Over a mean follow-up period of 2.23 ± 2.19 years, patients with ACHDHF+ had a higher risk of mortality (hazard ratio [HR], 1.86 [95% CI, 1.67-2.07], P<0.001), major adverse cardiac and cerebrovascular events (HR, 1.73 [95% CI, 1.63-1.83], P<0.001) and health resource use including rehospitalization (HR, 1.09 [95% CI, 1.05-1.14], P<0.001) and increased postacute care service use (HR, 1.56 [95% CI, 1.32-1.85], P<0.001). Cardiology clinic visits within 30 days of hospital admission were associated with lower 90-day and 1-year all-cause mortality (odds ratio [OR], 0.62 [95% CI, 0.49-0.78], P<0.001; OR, 0.69 [95% CI, 0.58-0.83], P<0.001, respectively).

CONCLUSIONS

HF hospitalization is associated with increased risk of mortality and morbidity with high health resource use in patients with ACHD. Recent cardiology clinic attendance appears to mitigate these risks.

Healthcare Use Among Black and White Congenital Heart Disease Medicaid Enrollees

Congenital heart disease (CHD) is the most common birth anomaly in the US. Research shows lost-to-follow-up trends and racial disparities in healthcare use. This study examines racial differences in healthcare use among Medicaid-covered children with CHD. Using 2010-2019 claims data from a pediatric Medicaid Accountable Care Organization, 960 Black and White children with complex CHD and ≥ 3 years of continuous Medicaid coverage were identified. Three cohorts were constructed (starting age: < 1-year-olds, 1-5-year-olds, 6-15-year-olds) and followed for 3 years. Multivariate analysis assessed annual healthcare use (cardiology, primary care, emergency department) by race, adjusting for patient and provider covariates. Overall, 51% of patients had an annual cardiology visit, and 54% had an annual primary care visit. Among the 1-5-year-old cohort, Black children were predicted to be 13% less likely to have an annual cardiology visit compared to their White counterparts (p = 0.001). Older Black children were predicted to be more likely to have a primary care visit compared to their White counterparts. Nearly half of Medicaid-enrolled children with complex CHD did not receive recommended cardiology care. Young Black children were less likely to receive an annual cardiac visit, while older Black children were more likely to receive primary care. While the percentage with an annual cardiac visit was low, the majority had seen a cardiologist within the 3-year window, suggesting these children are still receiving cardiology care, if less frequently than recommended. Opportunities exist for cardiology and primary care to collaborate to ensure patients receive timely recommended care.

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.

Agreement in All-in-One Dataset between Diagnosis and Prescribed Medication for Common Cardiometabolic Diseases in the NDB-K7Ps

The Japanese National Database (NDB), a useful data source for epidemiological studies, contains information on health checkups, disease diagnoses, and medications, which can be used when investigating common cardiometabolic diseases. However, before the initiation of an integrated analysis, we need to combine several pieces of information prepared separately into an all-in-one dataset (AIOD) and confirm the validation of the dataset for the study. In this study, we aimed to confirm the degree of agreement in data entries between diagnoses and prescribed medications and self-reported pharmacotherapy for common cardiometabolic diseases in newly assembled AIODs. The present study included 10,183,619 people who underwent health checkups from April 2018 to March 2019. Over 95% of patients prescribed antihypertensive and antidiabetic medications were diagnosed with each disease. For dyslipidemia, over 95% of patients prescribed medications were diagnosed with at least one of the following: dyslipidemia, hypercholesterolemia, or hyperlipidemia. Similarly, over 95% of patients prescribed medications for hyperuricemia were diagnosed with either hyperuricemia or gout. Additionally, over 90% of patients with self-reported medications for hypertension, diabetes, and dyslipidemia were diagnosed with each disease, although the proportions differed among age groups. Our study demonstrated high levels of agreement between diagnoses and prescribed medications for common cardiometabolic diseases and self-reported pharmacotherapy in our AIOD.

Patterns in hospital admissions for adults with congenital heart disease for non-cardiac procedures

OBJECTIVE

Advances in management of congenital heart disease (CHD) have led to an increasing population of adults with CHD, many of whom require non-cardiac procedures. The objectives of this study were to describe the characteristics of these patients, their distribution among different hospital categories and the characteristics determining this distribution, and mortality rates following noncardiac procedures.

METHODS

We retrospectively analysed 27 state inpatient databases. Encounters with CHD and non-cardiac procedures were included. The location of care was classified into two categories: hospitals with and without cardiac surgical programmes. Variables included were demographics, comorbidity index, mortality. Multivariable logistic regression was used to explore predictors for care in different locations.

RESULTS

The cohort consisted of 12 944 encounters in 1206 hospitals. Most patients were cared for in hospitals with a cardiac surgical programme (78.1%). Patients presenting to hospitals with a cardiac surgical programme presented with higher comorbidity index (6 (IQR: 0-19) vs 2 (IQR: -3-14), p<0.001) than patients presenting to hospitals without a cardiac surgical programme. Mortality was higher in hospitals with cardiac surgical programmes compared with hospitals without cardiac surgical programmes (4.0% vs 2.3%, p<0.001). Factors associated with provision of care at a hospital with a cardiac surgical programme were comorbidity index (>7: OR 2.01 (95% CI 1.83 to 2.21), p<0.001; 2-7: OR 1.59 (95% CI 1.41 to 1.79), p<0.001) and age (18-44 years: OR 1.43 (95% CI 1.26 to 1.62), p<0.001; 45-64 years: OR 1.21 (95% CI 1.08 to 1.34), p<0.001).

CONCLUSION

Adults with CHD undergoing non-cardiac procedures are mainly cared for in hospitals with a cardiac surgical programme and have greater comorbidities and higher mortality than those in centres without cardiac surgical programmes. Risk stratification and locoregional accessibility need further assessment to fully understand admission patterns.

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.

Substance Use Disorders Are Prevalent in Adults With Congenital Heart Disease and Are Associated With Increased Healthcare Use

Adults with congenital heart disease (CHD) represent a heterogeneous group with significant long-term health risks. Previous studies have demonstrated a high prevalence of psychiatric disorders among adults with CHD; however, little is known about the frequency of co-morbid substance use disorders (SUDs) in patients with CHD. The Oregon All Payer All Claims (APAC) database for the years 2014 to 2017 was queried for adults aged 18 to 65 years with International Classification of Diseases, Ninth or Tenth Revision codes consistent with CHD. Alcohol and substance use were identified by International Classification of Diseases codes for use or dependence and classified in mutually exclusive categories of none, alcohol only, and other drugs (with or without alcohol). Descriptive statistics were used to characterize prevalence and chi-square tests were used to test for associations between variables. A total of 12,366 adults with CHD were identified. The prevalence of substance use was 15.7%. The prevalence of isolated alcohol use was 3.9%. A total of 19% of patients used tobacco. Insurance type, presence of a concurrent mental health diagnosis, and age were associated with substance use, whereas CHD complexity was not. Cardiovascular co-morbidities were more common in patients with reported substance use. Inpatient and emergency care use were higher in those with SUD. In conclusion, this study of substance and alcohol use among adults with CHD demonstrates high rates of co-morbid SUD, particularly among patients with mental health disorders and Medicaid insurance, associated with increased healthcare utilization. We identify a population in need of targeted interventions to improve long-term health.

Linked birth cohort files for perinatal health research: California as a model for methodology and implementation

PURPOSE

Rigorous perinatal epidemiologic research depends on population-based parental and neonatal sociodemographic and clinical data. Here we describe the creation of linked birth cohort files, an enriched data source that combines information from vital records with maternal delivery and infant hospital encounter records.

METHODS

Probabilistic linkage techniques were used to link vital records (i.e., birth and fetal death certificates) from the California Department of Public Health with hospital inpatient, ambulatory surgery and emergency department encounter data for mothers and infants from the California Department of Health Care Access and Information.

RESULTS

From 2012 to 2018, 95% of live birth records were successfully linked to maternal and newborn hospital records while 85% of fetal death records were linked to a maternal delivery record. Overall, 93% of postnatal hospital encounters of infants (i.e., <1 year old) were matched to a linked record.

CONCLUSIONS

The linked birth cohort files is a rich resource opening many possibilities for understanding perinatal health outcomes and opportunities for linkage to longitudinal, social determinant, and environmental data. To optimally use this file for research, analysts should evaluate possible shortcomings or biases of the data sources being linked.

Prevalence of traditional and non-traditional cardiovascular risk factors in adults with congenital heart disease

Background

Adults with congenital heart disease (CHD) may be at increased risk of acquired cardiovascular disease (CVD). Understanding the prevalence of CV risk factors (CVRF) in this population is an important step in developing strategies to mitigate long-term risk.

Methods

The Oregon All Payer All Claims database for the years 2010-2017 was queried for adults with CHD International Classification of Diseases (ICD) codes. The prevalence of CVRF was measured, and we then evaluated the association with patient characteristics.

Results

There were 13,896 individuals with CHD. 72.8% (99% CI: 71.8-73.7) had at least one RF and 52.3% (99% CI: 51.2-53.4) had ≥2 RF. The prevalence of ≥1 RF increased with age (18-24: 39.6% (99% CI: 37.0-42.1) vs. 93.6% (99% CI: 92.6-94.6) in those 55-65). Hypertension (aOR 1.49 (99% CI: 1.36-1.63)), diabetes (aOR 1.24 (99% CI: 1.13-1.36)), sleep apnea (aOR 1.40 (99% CI 1.26-1.55)) and kidney disease (aOR 1.33 (99% CI:1.14-1.54)) were more prevalent in moderate-complex as opposed to simple CHD. When compared with a matched non-CHD population, there was higher prevalence of CVRF in ACHD (≥1 RF: 76.1 vs. 64.1%, OR 1.79 (99% CI: 1.69-1.89); ≥2 RF: 52.6 vs. 36.5%, OR 1.92 (99% CI: 1.83-2.03).

Conclusions

To our knowledge, this is the first comprehensive attempt to measure both traditional and non-traditional CVRF in US adults with CHD. We show that CVRF are common even in young adults. Given the additive effect of acquired CVD on CHD, addressing RF should be an important priority for in ACHD.

Neuropsychological features in children and adults with congenital heart disease: an exploratory data analysis

We aimed to recognize clinically meaningful patterns among patients with congenital heart disease to support clinical decision-making and better classification in practice. This research was a secondary analysis of data from the Congenital Heart Disease Genetic Network Study conducted from December 2010 to November 2014 in the United States. The analytic dataset included 6002 patients ≥1 year of age with non-syndromic congenital heart disease. For each patient, features included demographic, clinical, maternal and paternal characteristics. We clustered patients to identify subgroups that shared similarities in their clinical features. The performance of the clustering algorithm was evaluated with a random forest. Next, we used the apriori algorithm to generate clinical rules from patients' characteristics. The clustering algorithm identified two discernible groups of patients. The two classes of patients were different in maternal diabetes and in neuropsychological indicators [Accuracy (95% CI) = 97.1% (96.2, 97.8), area under the ROC curve = 96.8%]. Our rule extraction suggested the presence of clinical pictures with high lift values among patients with maternal diabetes or with seizure, depression, attention-deficit hyperactivity disorder, anxiety, developmental delay, learning disability and speech problem. Beyond the age of 1 year, maternal diabetes and neuropsychological characteristics identify two clusters of patients with congenital heart disease. These characteristics have the potential of being incorporated into the current systems for the classification of congenital heart disease.

Outcomes of Treatment for Infective Endocarditis Following Transcatheter Pulmonary Valve Replacement

BACKGROUND

Recipients of transcatheter pulmonary valve replacement (TPVR) have shown increased risk of infective endocarditis (IE). Little is known about the outcomes of different management strategies, particularly surgery, for IE after TPVR.

METHODS

We queried the Pediatric Health Information System database for cases of IE after TPVR performed from 2010-2020. We described patient demographics, hospital courses, admission complications, and treatment outcomes based on therapy offered, surgical or medical only. We compared outcomes of initial therapy. Data are expressed as median or percent.

RESULTS

Sixty-nine cases of IE were identified, accounting for 98 related hospital admissions; 29% of patients recorded IE-related readmissions. Of those readmitted after initial medical therapy only, 33% had relapse IE. Rates of surgery were 22% during initial admission and 36% overall. Likelihood of surgical intervention increased with each subsequent admission. Renal and respiratory failure were more common in those given initial surgery. Mortality rate was 4.3% overall and 8% in the surgical cohort.

CONCLUSION

Initial medical therapy may result in relapses/readmissions and possible delay of surgical therapy, which appears to be most effective for treatment of IE. For those treated only medically, a more aggressive course of therapy may be more likely to prevent relapse. Mortality following surgical therapy for IE after TPVR appears higher than reported for surgical pulmonary valve replacement generally.

Disparities in Loss to Follow-Up Among Adults With Congenital Heart Disease in North Carolina

Background

The AHA/ACC Adult Congenital Heart Disease guidelines recommend that most adults with congenital heart disease (CHD) follow-up with CHD cardiologists every 1 to 2 years because longer gaps in care are associated with adverse outcomes. This study aimed to determine the proportion of patients in North Carolina who did not have recommended follow-up and to explore predictors of loss to follow-up.

Methods

Patients ages ≥18 years with a healthcare encounter from 2008 to 2013 in a statewide North Carolina database with an ICD-9 code for CHD were assessed. The proportion with cardiology follow-up within 24 months following index encounter was assessed with Kaplan-Meier estimates. Cox regression was utilized to identify demographic factors associated with differences in follow-up.

Results

2822 patients were identified. Median age was 35 years; 55% were female. 70% were white, 22% black, and 3% Hispanic; 36% had severe CHD. The proportion with 2-year cardiology follow-up was 61%. Those with severe CHD were more likely to have timely follow-up than those with less severe CHD (72% vs 55%, P < .01). Black patients had a lower likelihood of follow-up than white patients (56% vs 64%, P = .01). Multivariable Cox regression identified younger age, non-severe CHD, and non-white race as risk factors for a lower likelihood of follow-up by 2 years.

Conclusion

39% of adults with CHD in North Carolina are not meeting AHA/ACC recommendations for follow-up. Younger and minority patients and those with non-severe CHD were particularly vulnerable to inadequate follow-up; targeted efforts to retain these patients in care may be helpful.

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.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Positive predictive value of congenital heart disease diagnostic codes in the Danish National Patient Registry

Background

Congenital heart disease (CHD) is a public health concern as the most common birth defect with growing prevalence in adults. Valid CHD data are critical in clinical epidemiological CHD research.

Objectives

To evaluate the positive predictive value (PPV) of having a CHD diagnosis and related surgery registered in the population-based Danish National Patient Registry (DNPR) according to the International Classification of Diseases, 8th and 10th revision, using predefined exclusion criteria to increase diagnostic validity.

Methods

Using medical record review as reference standard, we computed the PPV of registered diagnostic codes for CHD and CHD subtypes including 95% confidence intervals (CIs) as well as the PPV of presence of CHD-related surgery. A sample of 480 patients diagnosed with CHD at any hospital in the Central Jutland region, during 1977-2013, was randomly selected for the medical record review. Reviews were performed by two paediatric cardiology nurses, blinded to the specific CHD diagnosis, and a paediatric cardiologist was consulted in cases of uncertainty.

Results

We located medical records of 463 of the 480 patients included (96%), and found an overall PPV of the CHD diagnosis of 95.5 (95%CI: 93.3-97.1). Subtype specific PPVs were generally lower. In example PPV for atrial septal defect was 69%. It increased to 78% after inclusion of persistent foramen ovale in the reference standard subtype definition. The overall PPV of CHD-related surgery codes was 92.7.

Conclusions

The overall PPV of CHD diagnoses in the DNPR is high. Data indicated lower PPVs for CHD subtypes.

Lesion-specific mortality due to congenital heart disease in U.S. adults from 1999 to 2017

BACKGROUND

Adults with congenital heart disease (ACHD) comprise an increasing proportion of individuals living with CHD in the United States (US) although little is known regarding lesion or age-specific mortality in the modern era. Our study aimed to describe current era ACHD mortality rates by age and CHD lesion and provide temporal mortality rate trends for the last two decades.

METHODS

We conducted a 19-year analysis (1999-2017) of publicly available, de-identified Multiple Cause of Death data compiled and produced by the National Center for Health Statistics. Age and lesion-specific mortality rates were calculated using joinpoint regression.

RESULTS

ACHD mortality rates decreased by an average of 2%-4% per year for all adults. CHD lesions resulting in the highest ACHD-related mortality varied by age. Unlike the other lesions, mortality attributed to single ventricle physiology failed to improve in early adulthood (average of 1.6% increase per year). In decedents age 65 years or older, simpler forms of CHD like shunt lesions became more prominent contributors, accounting for 46% of deaths.

CONCLUSION

Rates of mortality due to ACHD have declined significantly for adults with CHD, however, continued mortality due to single ventricle physiology remains an area requiring improved strategies to increase survival.

Developing a random forest algorithm to identify patent foramen ovale and atrial septal defects in Ontario administrative databases

Purpose

Routinely collected administrative data is widely used for population-based research. However, although clinically very different, atrial septal defects (ASD) and patent foramen ovale (PFO) share a single diagnostic code (ICD-9: 745.5, ICD-10: Q21.1). Using machine-learning based approaches, we developed and validated an algorithm to differentiate between PFO and ASD patient populations within healthcare administrative data.

Methods

Using data housed at ICES, we identified patients who underwent transcatheter closure in Ontario between October 2002 and December 2017 using a Canadian Classification of Interventions code (1HN80GPFL, N = 4680). A novel random forest model was developed using demographic and clinical information to differentiate those who underwent transcatheter closure for PFO or ASD. Those patients who had undergone transcatheter closure and had records in the CorHealth Ontario cardiac procedure registry (N = 1482) were used as the reference standard. Several algorithms were tested and evaluated for accuracy, sensitivity, and specificity. Variable importance was examined via mean decrease in Gini index.

Results

We tested 7 models in total. The final model included 24 variables, including demographic, comorbidity, and procedural information. After hyperparameter tuning, the final model achieved 0.76 accuracy, 0.76 sensitivity, and 0.75 specificity. Patient age group had the greatest influence on node impurity, and thus ranked highest in variable importance.

Conclusions

Our random forest classification method achieved reasonable accuracy in identifying PFO and ASD closure in administrative data. The algorithm can now be applied to evaluate long term PFO and ASD closure outcomes in Ontario, pending future external validation studies to further test the algorithm.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-022-01837-2.

Operational and Ethical Considerations for a National Adult Congenital Heart Disease Database

As more adults survive with congenital heart disease, the need to better understand the long-term complications, and comorbid disease will become increasingly important. Improved care and survival into the early and late adult years for all patients equitably requires accurate, timely, and comprehensive data to support research and quality-based initiatives. National data collection in adult congenital heart disease will require a sound foundation emphasizing core ethical principles that acknowledge patient and clinician perspectives and promote national collaboration. In this document we examine these foundational principles and offer suggestions for developing an ethically responsible and inclusive framework for national ACHD data collection.

Distance to Care, Rural Dwelling Status, and Patterns of Care Utilization in Adult Congenital Heart Disease

Many patients with adult congenital heart disease (ACHD) do not receive guideline-directed care. While distance to an ACHD center has been identified as a potential barrier to care, the impact of distance on care location is not well understood. The Oregon All Payer All Claims database was queried to identify subjects 18-65 years who had a health encounter from 2010 to 2015 with an International Classification of Diseases-9 code consistent with ACHD. Residence area was classified using metropolitan statistical areas and driving distance was queried from Google Maps. Utilization rates and percentages were calculated and odds ratios were estimated using negative binomial and logistic regression. Of 10,199 identified individuals, 52.4% lived < 1 h from the ACHD center, 37.5% 1-4 h, and 10.1% > 4 h. Increased distance from the ACHD center was associated with a lower rate of ACHD-specific follow-up [< 1 h: 13.0% vs. > 4 h: 5.0%, adjusted OR 0.32 (0.22, 0.48)], but with more inpatient, emergency room, and outpatient visits overall. Those who more lived more than 4 h from the ACHD center had less inpatient visits at urban hospitals (55.5% vs. 93.9% in those < 1 h) and the ACHD center (6.2% vs. 18.2%) and more inpatient admissions at rural or critical access hospitals (25.5% vs. 1.9%). Distance from the ACHD center was associated with a decreased probability of ACHD follow-up but higher health service use overall. Further work is needed to identify strategies to improve access to specialized ACHD care for all individuals with ACHD.

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.

Reporting transparency and completeness in trials: Paper 3 - trials conducted using administrative databases do not adequately report elements related to use of databases

OBJECTIVE

We evaluated reporting completeness and transparency in randomized controlled trials (RCTs) conducted using administrative data based on 2021 CONSORT Extension for Trials Conducted Using Cohorts and Routinely Collected Data (CONSORT-ROUTINE) criteria.

STUDY DESIGN AND SETTING

MEDLINE and the Cochrane Methodology Register were searched (2011 and 2018). Eligible RCTs used administrative databases for identifying eligible participants or collecting outcomes. We evaluated reporting based on CONSORT-ROUTINE, which modified eight items from CONSORT 2010 and added five new items.

RESULTS

Of 33 included trials (76% used administrative databases for outcomes, 3% for identifying participants, 21% both), most were conducted in the United States (55%), Canada (18%), or the United Kingdom (12%). Of eight items modified in the extension; six were adequately reported in a majority (>50%) of trials. For the CONSORT-ROUTINE modification portion of those items, three items were reported adequately in >50% of trials, two in <50%, two only applied to some trials, and one only had wording modifications and was not evaluated. For five new items, four that address use of routine data in trials were reported inadequately in most trials.

CONCLUSION

How administrative data are used in trials is often sub-optimally reported. CONSORT-ROUTINE uptake may improve reporting.

Development of an academic-practice partnership model to anchor care coordination and population health

The National Academy of Medicine's The Future of Nursing 2020-2030 recommends the expansion of the role of nurses throughout the continuum of health care in an effort to improve the health of the nation while decreasing costs. To accomplish this goal, nursing students and nurses must be well prepared to perform at their highest capacity to meet health care demands. Currently the U.S. health care delivery system is undergoing rapid changes that affect approaches to delivering care services. These changes call for education and practice reforms in nursing. This article introduces an innovative academic-practice partnership model (the University of Maryland Nursing [UMNursing] Care Coordination Implementation Collaborative), including its background, development, and blueprint for a large implementation project. The implementation model integrates nursing education and practice in areas of care co-ordination and population health, which have a significant impact on the Triple Aim of health. The project also uniquely integrates education, practice, and research, with the ultimate outcome of higher quality patient care.

Length of hospital stay after delivery among Danish women with congenital heart disease: a register-based cohort study

Background

The literature about the impact of congenital heart disease (CHD) on the length of hospital stay after delivery is limited, and nonexisting in a country with free and equal access to healthcare. We aimed to examine the hypothesis that Danish women with CHD have a longer hospital stay after delivery compared to women without CHD. Secondarily, we aimed to examine the hypothesis that cesarean section modifies the association.

Methods

The study was a national cohort study using Danish nationwide registers in 1997–2014. Maternal CHD was categorized as simple, moderate, or complex CHD. The comparison group consisted of women without CHD. Outcome of interest was length of hospital stay after delivery registered in complete days. Mode of delivery was categorized as cesarean section or vaginal delivery. Data was analyzed using a generalized linear model with a Poisson distribution.

Results

We included 939,678 births among 551,119 women. Women without CHD were on average admitted to the hospital for 3.6 (SD 3.7) days, whereas women with simple, moderate, and complex CHD were admitted for 3.9 (SD 4.4), 4.0 (SD 3.8) and 5.1 (SD 6.7) days, respectively. The adjusted length of hospital stay after delivery was 12% (relative ratio (RR) = 1.12, 95% confidence interval (CI) 1.07–1.18), 14% (RR = 1.14, 95% CI: 1.07–1.21), and 45% (RR = 1.45, 95% CI: 1.24–1.70) longer among women with simple, moderate, and complex CHD, respectively, compared to women without CHD. The association between maternal CHD and length of hospital stay was not modified by mode of delivery (p-value of interaction = 0.62). Women who gave birth by cesarean section were on average admitted to the hospital for 2.7 days longer compared to women with vaginal delivery.

Conclusion

The hospital stay after delivery was significantly longer among women with CHD as compared to women without CHD. Further, higher complexity of CHD was associated with longer length of stay. Cesarean section did not modify the association.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12884-021-04286-3.

Analysis of root causes of problems affecting the quality of hospital administrative data: A systematic review and Ishikawa diagram

INTRODUCTION

Administrative hospital databases represent an important tool for hospital financing in many national health systems and are also an important data source for clinical, epidemiological and health services research. Therefore, the data quality of such databases is of utmost importance. This paper aims to present a systematic review of root causes of data quality problems affecting administrative hospital data, creating a catalogue of potential issues for data quality analysts to explore.

METHODS

The MEDLINE and Scopus databases were searched using inclusion criteria based on two following concept blocks: (1) administrative hospital databases and (2) data quality. Studies' titles and abstracts were screened by two reviewers independently. Three researchers independently selected the screened studies based on their full texts and then extracted the potential root causes inferred from them. These were subsequently classified according to the Ishikawa model based on 6 categories: "Personnel", "Material", "Method", "Machine", "Mission" and "Management".

RESULTS

The result of our investigation and the contribution of this paper is a classification of the potential (105) root causes found through a systematic review of the 77 relevant studies we have identified and analyzed. The result was represented by an Ishikawa diagram. Most of the root causes (25.7%) were associated with the category "Personnel" - people's knowledge, preferences, education and culture, mostly related to clinical coders and health care providers activities. The quality of hospital documentation, within category "Material", and aspects related to financial incentives or disincentives, within category "Mission", were also frequently cited in the literature as relevant root causes for data quality issues.

CONCLUSIONS

The resultant catalogue of root causes, systematized using the Ishikawa framework, provides a compilation of potential root causes of data quality issues to be considered prior to reusing these data and that can point to actions aimed at improving data quality.

Association of Insurance Status With Emergent Versus Nonemergent Hospital Encounters Among Adults With Congenital Heart Disease

Background Although the number of hospital visits has exponentially increased for adults with congenital heart disease (CHD) over the past few decades, the relationship between insurance status and hospital encounter type remains unknown. The purpose of this study was to evaluate the association between insurance status and emergent versus nonemergent encounters among adults with CHD ≥18 years old. Methods and Results We used California Office of Statewide Health Planning and Development Database from January 2005 to December 2015 to determine the trends of insurance status and encounters and the association of insurance status on encounter type among adults with CHD. A total 58 359 nonpregnancy encounters were identified in 6077 patients with CHD. From 2005 to 2015, the number of uninsured encounters decreased by 38%, whereas government insured encounters increased by 124% and private by 79%. Overall, there was a significantly higher proportion of emergent than nonemergent encounters associated with uninsured status (13.0% versus 1.8%; P<0.0001), whereas the proportion of nonemergent encounters associated with private insurance was higher than emergent encounters (35.8% versus 62.4%; P<0.0001). When individual patients with CHD became uninsured, they were ≈5 times more likely to experience an emergent encounter (P<0.0001); upon changing from uninsured to insured, they were significantly less likely to have an emergent encounter (P<0.001). After multivariate adjustment, uninsured status exhibited the highest odds of an emergent rather than nonemergent encounter compared with all other covariates (adjusted odds ratio, 9.20; 95% CI, 7.83-10.8; P<0.0001). Conclusions Efforts to enhance the ability to obtain and maintain insurance throughout the lifetime of patients with CHD might result in meaningful reductions in emergent encounters and a more efficient use of resources.

Temporal Trends and Outcomes of Elective Thoracic Aortic Repair and Acute Aortic Syndromes in Bicuspid Aortic Valves: Insights from a National Database

Introduction

There is paucity of data on the outcomes of hospitalization for bicuspid aortic valve (BAV)-related aortopathies.

Methods

We queried the NIS database (2012–2016) for hospitalizations for elective thoracic aortic repair or acute aortic syndrome (AAS) among those with BAV versus trileaflet aortic valve (TAV).

Results

Our analysis yielded 38,010 hospitalizations for elective aortic repair, of whom 34.4% had BAV, as well as 81,875 hospitalizations for thoracic AAS, of whom 1.1% had BAV. Hospitalizations for BAV were younger and had fewer comorbidities compared with their TAV counterparts. The number of hospitalizations for BAV during the observational period was unchanged. After propensity matching, elective aortic repair for BAV was associated with lower mortality (0.5% versus 1.7%, odds ratio = 0.28; 95% CI 1.5–0.50, p < 0.001), use of mechanical circulatory support, acute stroke, and shorter length of hospital stay compared with TAV. After propensity matching, AAS among those with BAV had a greater incidence of bleeding events, blood transfusion, cardiac tamponade, ventricular arrhythmias, and a longer length of hospital stay compared with TAV. Among those with BAV, predictors of lower mortality if undergoing elective aortic repair included larger hospitals and teaching hospitals. Predictors of higher mortality in patients with AAS included heart failure, chronic kidney disease, and coronary artery disease.

Conclusion

Data from a national database showed no change in the number of hospitalizations for BAV-related aortopathy, with relatively lower incidence of AAS. Compared with TAV, elective aortic repair for BAV is associated with lower mortality, while BAV-related AAS is associated with higher in-hospital complications.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40119-021-00237-3.

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.

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.

Association of Adults With Congenital Heart Disease-Specific Care With Clinical Characteristics and Healthcare Use

Background

Many adults with congenital heart disease (ACHD) are cared for by non‐ACHD specialists, if they receive care at all. Little is known about the differences between those who access care at an ACHD center and those who do not access ACHD‐specific care.

Methods and Results

The Oregon All Payer All Claims database was queried to identify subjects aged 18 to 65 years with an International Classification of Diseases,Ninth Revision (ICD‐9) code consistent with ACHD from 2010 to 2015. ACHD center providers were identified using National Provider Identification numbers. Usage rates and percentages were calculated with person‐years in the denominator, and rate ratios and odds ratios (ORs) were estimated using negative binomial and logistic regression. Only 11.7% of identified individuals (N=10 199) were seen at the ACHD center. These individuals were younger (median 36 versus 47 years; P<0.0001) and had higher rates of Medicaid insurance (47.8% versus 28.4%; P<0.0001), heart failure (31.4% versus 15.3%; P<0.0001), and arrhythmia (75.5 versus 49.2%; P<0.0001). They had more visits of all types (outpatient: 79% per year versus 64% per year [age‐adjusted OR, 2.54; 99% CI, 2.24–2.88]; emergency department: 29% versus 22% per year [adjusted OR, 1.34; 99% CI, 1.18–1.52]; inpatient: 17% versus 12.0% per year [adjusted OR, 1.92; 99% CI, 1.67–2.20]). Rates of guideline‐indicated annual echocardiography were low (7.7% overall, 13.4% in patients at the ACHD center).

Conclusions

Patients at an ACHD center comprise a distinct and complex group with a high rate of healthcare use and a relatively higher compliance with guideline‐indicated annual follow‐up. These findings underscore the importance of building and supporting robust systems for ACHD care in the United States.

Timing of Transfer and Mortality in Neonates with Hypoplastic Left Heart Syndrome in California

Maternal race/ethnicity is associated with mortality in neonates with hypoplastic left heart syndrome (HLHS). We investigated whether maternal race/ethnicity and other sociodemographic factors affect timing of transfer after birth and whether timing of transfer impacts mortality in infants with HLHS. We linked two statewide databases, the California Perinatal Quality Care Collaborative and records from the Office of Statewide Health Planning and Development, to identify cases of HLHS born between 1/1/06 and 12/31/11. Cases were divided into three groups: birth at destination hospital, transfer on day of life 0-1 ("early transfer"), or transfer on day of life ≥ 2 ("late transfer"). We used log-binomial regression models to estimate relative risks (RR) for timing of transfer and Cox proportional hazard models to estimate hazard ratios (HR) for mortality. We excluded infants who died within 60 days of life without intervention from the main analyses of timing of transfer, since intervention may not have been planned in these infants. Of 556 cases, 107 died without intervention (19%) and another 52 (9%) died within 28 days. Of the 449 included in analyses of timing of transfer, 28% were born at the destination hospital, 49% were transferred early, and 23% were transferred late. Late transfer was more likely for infants of low birthweight (RR 1.74) and infants born to US-born Hispanic (RR 1.69) and black (RR 2.45) mothers. Low birthweight (HR 1.50), low 5-min Apgar score (HR 4.69), and the presence of other major congenital anomalies (HR 3.41), but not timing of transfer, predicted neonatal mortality. Late transfer was more likely in neonates born to US-born Hispanic and black mothers but was not associated with higher mortality.

Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan

Background

No case definition of Type 1 diabetes (T1D) for the claims data has been proposed in Japan yet. This study aimed to evaluate the performance of candidate case definitions for T1D using Electronic health care records (EHR) and claims data in a University Hospital in Japan.

Methods

The EHR and claims data for all the visiting patients in a University Hospital were used. As the candidate case definitions for claims data, we constructed 11 definitions by combinations of International Statistical Classification of Diseases and Related Health Problems, Tenth Revision. (ICD 10) code of T1D, the claims code of insulin needles for T1D patients, basal insulin, and syringe pump for continuous subcutaneous insulin infusion (CSII). We constructed a predictive model for T1D patients using disease names, medical practices, and medications as explanatory variables. The predictive model was applied to patients of test group (validation data), and performances of candidate case definitions were evaluated.

Results

As a result of performance evaluation, the sensitivity of the confirmed disease name of T1D was 32.9 (95% CI: 28.4, 37.2), and positive predictive value (PPV) was 33.3 (95% CI: 38.0, 38.4). By using the case definition of both the confirmed diagnosis of T1D and either of the claims code of the two insulin treatment methods (i.e., syringe pump for CSII and insulin needles), PPV improved to 90.2 (95% CI: 85.2, 94.4).

Conclusions

We have established a case definition with high PPV, and the case definition can be used for precisely detecting T1D patients from claims data in Japan.

Frequency of intracranial aneurysms and sub-arachnoid hemorrhage is significantly lesser in bicuspid aortic valve than aortic coarctation

BACKGROUND

Bicuspid aortic valve(BAV) is common. Some studies suggest that all BAV patients require screening for intracranial aneurysm(IA) in order to prevent sub-arachnoid hemorrhage(SAH). Aortic coarctation(CoA) carries high-risk of both IA and SAH. Using a nationally-representative population, we assessed the frequency of IA and SAH in admissions with BAV-without-CoA versus admissions with CoA(with or without BAV).

METHODS

Between 2000 and 2016, adult admissions with a primary/secondary diagnosis of BAV and/or CoA were identified using the National Inpatient Sample. Admissions with traumatic SAH and inter-hospital transfers were excluded. Outcomes were frequency of IA and SAH, and in-hospital mortality in BAV-without-CoA versus CoA.

RESULTS

In this 17-year period, 254,675 admissions met inclusion criteria and 236,930(93.0%) had BAV-without-CoA. BAV-with-CoA was present in 2846(1.1%) and isolated-CoA in 14,899(5.9%), for a total of 17,745(7%) with CoA. IA was noted in 405 admissions(0.2%) overall, BAV-without-CoA versus CoA having 293(0.1%) versus 112(0.6%), p < 0.001. SAH was noted in 910 admissions(0.4%) overall, with BAV-without-CoA versus CoA having 760(0.3%) versus 150(0.9%), p < 0.001.

CONCLUSIONS

In this study, BAV-without-CoA admissions had 0.1%(6-times lower than CoA) and 0.3%(3-times lower that CoA) IA and SAH, respectively, which is comparable to the general population. This suggests that BAV-without-CoA patients likely do not require routine surveillance for IA.

Health Service Utilization Patterns Among Adults With Congenital Heart Disease: A Population-Based Study

Background

Several studies have examined hospitalizations among patients with adult congenital heart disease (ACHD). Few investigated other services or utilization patterns. Our aim was to study service utilization patterns and predictors among patients with ACHD.

Methods and Results

We identified 11 653 patients with ACHD aged ≥18 years (median, 47 years), through electronic records of 2 large Israeli healthcare providers (2007–2011). The association between patient, disease, and sociogeographic characteristics and healthcare resource utilization were modeled as recurrent events accounting for the competing death risk. Patients with ACHD had high healthcare utilization rates compared with the general population. The highest standardized service utilization ratios (SSRs) were found among patients with complex congenital heart disease including primary care visits (SSR, 1.53; 95% CI, 1.47–1.58), cardiology outpatient visits (SSR, 5.17; 95% CI, 4.69–5.64), hospitalizations (SSR, 6.68; 95% CI, 5.82–7.54), and days in hospital (SSR, 15.37; 95% CI, 14.61–16.12). Adjusted resource utilization hazard increased with increasing lesion complexity. Hazard ratios (HRs) for complex versus simple disease were: primary care (HR, 1.14; 95% CI, 1.06–1.23); cardiology outpatient visits (HR, 1.40; 95% CI, 1.24–1.59); emergency department visits (HR, 1.19; 95% CI, 1.02–1.39); and hospitalizations (HR, 1.75; 95% CI, 1.49–2.05). Effects attenuated with age for cardiology outpatient visits and hospitalizations and increased for emergency department visits. Female sex, geographic periphery, and ethnic minority were associated with more primary care visits, and female sex (HR versus men, 0.89 [95% CI, 0.84–0.94]) and periphery (HR, 0.72 [95% CI, 0.58–0.90] for very peripheral versus very central) were associated with fewer cardiology visits. Arab minority patients also had high hospitalization rates compared with the majority group of Jewish or other patients.

Conclusions

Healthcare utilization rates were high among patients with ACHD. Female sex, geographic periphery, and ethnicity were associated with less optimal service utilization patterns. Further research should examine strategies to optimize service utilization in these groups.

Outcomes of percutaneous and surgical pulmonary valve implantation

BACKGROUND

The objective of this study is to describe the recent trends and in-hospital outcomes with percutaneous pulmonic valve implantation (PPVI) and surgical pulmonic valve implantation (SPVR) in adult hospitals in the US after the availability of both the Melody valve (Medtronic Inc., Minneapolis, Minnesota) and the Sapien XT valve (Edwards Lifesciences, Irvine, CA).

METHODS

We queried the National Inpatient Sample database (NIS) from January 2016 to December 2017 to identify hospitalizations for PPVI and SPVR.

RESULTS

We identified 5455 weighted discharges with PPVI and SPVR (PPVI=1140, SPVR=4305). PPVI procedures had increased in number over 2016 and 2017 (115 procedure at the first quarter of 2016, 195 procedures in the final quarter of 2017, P-trend=0.086), while SPVR volume remained constant. The incidence of in-hospital mortality was low with both procedures (SPRV: 1.6% vs. PPVI: 0.9%, p=0.071). SPVR had worse in-hospital outcomes, was associated with a longer length of stay [5 days vs. 1 day, p<0.001], and comparable cost of index hospitalization [$51,657 vs. $51,193] compared with PPVI.

CONCLUSION

After approval of the Sapien valve for commercial use in 2016, PPVI procedures have increased in frequency. PPVI is associated with lower procedural complications than SPVR, however, both carry a low risk of mortality. Despite the higher cost of the valves and delivery systems, PPVI is associated with a slightly lower cost of index hospitalization compared with SPVR, likely due to the higher in-hospital complications and LOS of the latter.

Temporal Design Patterns for Digital Phenotype Cohort Selection in Critical Care: Systematic Literature Assessment and Qualitative Synthesis

BACKGROUND

Inclusion criteria for observational studies frequently contain temporal entities and relations. The use of digital phenotypes to create cohorts in electronic health record-based observational studies requires rich functionality to capture these temporal entities and relations. However, such functionality is not usually available or requires complex database queries and specialized expertise to build them.

OBJECTIVE

The purpose of this study is to systematically assess observational studies reported in critical care literature to capture design requirements and functionalities for a graphical temporal abstraction-based digital phenotyping tool.

METHODS

We iteratively extracted attributes describing patients, interventions, and clinical outcomes. We qualitatively synthesized studies, identifying all temporal and nontemporal entities and relations.

RESULTS

We extracted data from 28 primary studies and 367 temporal and nontemporal entities. We generated a synthesis of entities, relations, and design patterns.

CONCLUSIONS

We report on the observed types of clinical temporal entities and their relations as well as design requirements for a temporal abstraction-based digital phenotyping system. The results can be used to inform the development of such a system.

Socioeconomic barriers to prenatal diagnosis of critical congenital heart disease

OBJECTIVE

The study was designed to assess the impact of socioeconomic barriers on the rate of prenatal diagnosis of critical congenital heart disease (CCHD).

METHODS

This was a retrospective review of the Medicaid analytic extract (MAX) dataset, a national Medicaid administrative claims database with linked maternal-infant claims, from 2007 to 2012. Infants with CCHD were identified by searching for International Classification of Diseases (ICD) 9 codes and Procedural Coding System (PCS) codes for CCHD within the first 6 months after the delivery date. Multivariate logistic regression was used to evaluate the effect of maternal and socioeconomic factors on the prenatal diagnosis rate.

RESULTS

There were 4702 mother-infant dyads included in the analysis. The prenatal diagnosis rate of CCHD was 27.9%. Factors independently associated with odds of prenatal diagnosis of CCHD were presence of maternal diabetes (OR, 2.055; P < .001), ZIP code level median household income (OR, 1.005; P = .015), sonographer labor quotient (OR, 1.804; P = .047), the year of the delivery (OR, 1.155; P < .001), and needing a view other than a 4 chamber or outflow tract view to obtain the diagnosis (OR, 0.383; P < .001).

CONCLUSION

Maternal health, diabetes, socioeconomic factors, and access to sonographers impacts prenatal diagnosis of CCHD.