Projected growth of the adult congenital heart disease population in the United States to 2050: an integrative systems modeling approach

Clinical predictors of length of stay in adults with congenital heart disease

OBJECTIVE

Length of stay (LOS) is a major driver of inpatient care costs. To date, few studies have investigated risk factors associated with increased LOS in patients with adult congenital heart disease (ACHD). In the present work, we sought to address this knowledge gap.

METHODS

We conducted an analysis of the State Inpatient Databases from Arkansas, California, Florida, Hawaii, Nebraska and New York. We analysed data on admissions in patients with ACHD and constructed a series of hierarchical regression models to identify the clinical factors having the greatest effects on LOS.

RESULTS

We identified 99 103 inpatient hospitalisations meeting criteria for inclusion. Diagnoses associated with the longest LOS were septicaemia (LOS=14.2 days in patients atrial septal defect, and 11.7 days among all other ACHD) and pericarditis, endocarditis and myocarditis (LOS=13.6 days and 10.0 days, respectively). When separated by underlying anatomy, the variables most consistently associated with longer LOS were bacterial infection, complications of surgeries or medical care, acute renal disease and anaemia.

CONCLUSIONS

In the present study, we identified risk factors associated with longer LOS in ACHD. These data may be used to identify at-risk patients for targeted intervention to decrease LOS and thereby cost.

Prognostic Value of N-Terminal Pro-B-Type Natriuretic Peptide, Troponin-T, and Growth-Differentiation Factor 15 in Adult Congenital Heart Disease

Background:

The number of patients with adult congenital heart disease (ACHD) is rapidly increasing. To optimize patient management, there is a great need to accurately identify high-risk patients. Still, no biomarker has been firmly established as a clinically useful prognostic tool in this group. We studied the association of N-terminal pro-B-type natriuretic peptide (NT-proBNP), high-sensitive troponin-T, and growth-differentiation factor 15 with cardiovascular events in ACHD.

Methods:

Clinically stable patients with ACHD who routinely visited the outpatient clinic between April 2011 and April 2013 underwent clinical assessment, electrocardiography, echocardiography, and biomarker measurement (NT-proBNP, high-sensitive troponin-T, and growth-differentiation factor 15) at the time of study inclusion. Patients were prospectively followed for the occurrence of cardiovascular events (death, heart failure, hospitalization, arrhythmia, thromboembolic events, and reintervention). Survival curves were derived by the Kaplan-Meier method, and Cox regression was performed to investigate the relation between biomarkers and events with adjustment for multiple clinical and echocardiographic variables.

Results:

In total, 595 patients were included (median age, 33 years; interquartile range, 25–41 years; 58% male; 90% New York Heart Association class I). Patients were followed during a median of 42 (interquartile range, 37–46) months. Of the 3 evaluated biomarkers, NT-proBNP in the upper quartile (>33.3 pmol/L) was most strongly associated with cardiovascular events (n=165, adjusted hazard ratio, 9.05 [3.24–25.3], P <0.001) and with death or heart failure (n=50, adjusted hazard ratio, 16.0 [2.04–126], P <0.001). When NT-proBNP was analyzed as a continuous variable, similar findings were retrieved. The cumulative proportion of patients with death and heart failure was only 1% in the lowest 2 NT-proBNP quartiles. Elevated NT-proBNP (>14 pmol/L), elevated high-sensitive troponin-T (>14 ng/L), and elevated growth-differentiation factor 15 (>1109 ng/L) identified those patients at highest risk of cardiovascular events (log-rank P <0.0001).

Conclusions:

NT-proBNP provides prognostic information beyond a conventional risk marker model in patients with ACHD and can reliably exclude the risk of death and heart failure. Elevated levels of NT-proBNP, high-sensitive troponin-T, and growth-differentiation factor 15 identify patients at highest risk of cardiovascular events. These biomarkers therefore may play an important role in the monitoring and management of patients with ACHD.

The Need for Extracorporeal Membrane Oxygenation in Adults Undergoing Congenital Heart Surgery: Impact and Trends of Utilization

Introduction:

Adults with congenital heart disease (ACHD) represent a population with unique health-care needs. Many patients require cardiac surgery, with some requiring postoperative extracorporeal membrane oxygenation (ECMO). This study aimed to identify the risk factors for the need of postoperative ECMO and characterize the impact of ECMO on admission characteristics.

Methods:

Data from the 2005–2012 iterations of the Nationwide Inpatient Sample were used. ACHD admissions over 18 years with a documented cardiac surgery were included. Univariate analysis was conducted to compare the characteristics between those requiring ECMO and those who did not. Regression analysis was done to identify the independent risk factors associated with ECMO and to determine the impact of ECMO on length, cost, and mortality of the admission.

Results:

A total of 186,829 admissions were included. Of these, 446 (0.2%) admissions required ECMO. Those with acute kidney injury, double-outlet right ventricle, or total anomalous pulmonary venous connection were more likely to require ECMO. ECMO was also significantly more utilized in patients undergoing septal defect repair, complete repair of tetralogy of Fallot, atrial switch, and heart transplant. The use of ECMO significantly increased length, cost, and mortality of stay. Overall mortality was 62.6% in the ECMO group.

Conclusion:

ECMO is only needed in a small proportion of postoperative ACHD patients. The use of ECMO significantly increases cost, length of stay and mortality in these patients. Improved identification of postoperative ACHD patients who are more likely to survive ECMO may facilitate improved survival and decreased resource utilization.

Applications of 3D printing in cardiovascular diseases

3D-printed models fabricated from CT, MRI, or echocardiography data provide the advantage of haptic feedback, direct manipulation, and enhanced understanding of cardiovascular anatomy and underlying pathologies. Reported applications of cardiovascular 3D printing span from diagnostic assistance and optimization of management algorithms in complex cardiovascular diseases, to planning and simulating surgical and interventional procedures. The technology has been used in practically the entire range of structural, valvular, and congenital heart diseases, and the added-value of 3D printing is established. Patient-specific implants and custom-made devices can be designed, produced, and tested, thus opening new horizons in personalized patient care and cardiovascular research. Physicians and trainees can better elucidate anatomical abnormalities with the use of 3D-printed models, and communication with patients is markedly improved. Cardiovascular 3D bioprinting and molecular 3D printing, although currently not translated into clinical practice, hold revolutionary potential. 3D printing is expected to have a broad influence in cardiovascular care, and will prove pivotal for the future generation of cardiovascular imagers and care providers. In this Review, we summarize the cardiovascular 3D printing workflow, from image acquisition to the generation of a hand-held model, and discuss the cardiovascular applications and the current status and future perspectives of cardiovascular 3D printing.

A Biobank for Long-term and Sustainable Research in the Field of Congenital Heart Disease in Germany

Congenital heart disease (CHD) is the most frequent birth defect (0.8%-1% of all live births). Due to the advance in prenatal and postnatal early diagnosis and treatment, more than 90% of these patients survive into adulthood today. However, several mid- and long-term morbidities are dominating the follow-up of these patients. Due to the rarity and heterogeneity of the phenotypes of CHD, multicenter registry-based studies are required. The CHD-Biobank was established in 2009 with the aim to collect DNA from patients and their parents (trios) or from affected families, as well as cardiovascular tissues from patients undergoing corrective heart surgery for cardiovascular malformations. Clinical/phenotype data are matched to the International Paediatric and Congenital Cardiac Code (IPCCC) and the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10). The DNA collection currently comprises samples from approximately 4200 participants with a wide range of CHD phenotypes. The collection covers about 430 trios and 120 families with more than one affected member. The cardiac tissue collection comprises 1143 tissue samples from 556 patients after open heart surgery. The CHD-Biobank provides a comprehensive basis for research in the field of CHD with high standards of data privacy, IT management, and sample logistics.