Cardiac evaluation of patients with 22q11.2 duplication syndrome.

The 22q11.2 duplication syndrome (22q11.2DupS) is characterized by phenotypic heterogeneity, from seemingly asymptomatic to severely affected patients. Our study sought to detail the cardiac phenotype associated with 22q11.2DupS, the prevalence of aortic arch anomalies and aortic root dilation in 22q11.2DupS, and to assess how frequently new congenital heart disease (CHD) is diagnosed at outpatient cardiac evaluation following genetic diagnosis. In our cohort of 85 patients, 20.0% had CHD, with a wide range of phenotypes. Sixty-eight patients had complete cardiac evaluations detailing aortic arch sidedness and branching pattern, of which 5 (7.4%) had an aortic arch anomaly, all of whom had concurrent intracardiac CHD. Of 53 patients without CHD who had complete cardiac evaluations, only 3 (5.7%) had evidence of aortic root dilation. Of 46 patients who underwent outpatient cardiac evaluation following diagnosis of 22q11.2DupS, only one (2.2%) was found to have CHD, an isolated bicuspid aortic valve without stenosis. Therefore, the CHD phenotype in 22q11.2DupS, when present, is heterogeneous. Aortic arch anomalies are uncommon, and no patient in our cohort had one in isolation. Isolated aortic root dilation is also uncommon. Finally, outpatient cardiac evaluation following genetic diagnosis without previously known CHD infrequently identified minor cardiac malformations.

Aortic Root Dilation in Patients with 22q11.2 Deletion Syndrome Without Intracardiac Anomalies.

Aortic root dilation (ARD) has been reported in patients with 22q11.2 deletion syndrome (22q11.2DS) with and without congenital heart defects (CHDs). However, the long-term implications of isolated ARD in 22q11.2DS remain undefined. In this study, we measured aortic root size and estimated the probability of changing between normal aortic root size and ARD during follow up to understand the prevalence, longitudinal course, and clinical risk factors for ARD in patients with 22q11.2DS without intracardiac CHDs. Aortic root size was measured in 251 patients with 432 studies. Forty-one patients (16.3%) had ARD on at least one echocardiogram and the cohort sinus Z-score was increased on the last echocardiogram [mean (1.09, SD 1.24) and median (1.20, min - 1.90 and max 5.40)]. Transition probability analysis showed that 8.1% of patients developed ARD and 45.4% of patients with ARD reverted to normal at the next echocardiogram. The risk of ARD over time was significantly associated with male sex (OR 3.06, 95% CI 1.41-6.65; p = 0.004), but not with age or presence of an aortic arch anomaly. Compared to a sinus Z-score ≥ 2, initial Z-score < 2 was associated with 14.3 times lower risk of developing sinus Z-score ≥ 3 at follow up. Sinus Z-score overall decreased by age, and males had a higher Z-score than females (ß = 0.72, SE = 0.14, p < 0.001). Though only a few patients had a Z-score > 4, and patients with initial Z-scores < 2 seem unlikely to develop clinically significant disease, screening practices remain incompletely defined such that periodic evaluation appears warranted.

Genetic variants of HIF1α are associated with right ventricular fibrotic load in repaired tetralogy of Fallot patients: a cardiovascular magnetic resonance study.

BACKGROUND: Studies suggest that right ventricular (RV) fibrosis is associated with RV remodeling and long-term outcomes in patients with tetralogy of Fallot (TOF). Pre-operative hypoxia may increase expression of hypoxia inducible factor-1-alpha (HIF1α) and promote transforming growth factor ß1 (TGFß1)-mediated fibrosis. We hypothesized that there would be associations between: (1) RV fibrosis and RV function, (2) HIF1α variants and RV fibrosis, and (3) HIF1α variants and RV function among post-surgical TOF cases. METHODS: We retrospectively measured post-surgical fibrotic load (indexed volume and fibrotic score) from 237 TOF cases who had existing cardiovascular magnetic resonance imaging using late gadolinium enhancement (LGE), and indicators of RV remodeling (i.e., ejection fraction [RVEF] and end-diastolic volume indexed [RVEDVI]). Genetic data were available in 125 cases. Analyses were conducted using multivariable linear mixed-effects regression with a random intercept and multivariable generalized Poisson regression with a random intercept. RESULTS: Indexed fibrotic volume and fibrotic score significantly decreased RVEF by 1.6% (p = 0.04) and 0.9% (p = 0.03), respectively. Indexed fibrotic volume and score were not associated with RVEDVI. After adjusting for multiple comparisons, 6 of the 48 HIF1α polymorphisms (representing two unique signals) were associated with fibrotic score. None of the HIF1α polymorphisms were associated with indexed fibrotic volume, RVEDVI, or RVEF. CONCLUSION: The association of some HIF1α polymorphisms and fibrotic score suggests that HIF1α may modulate the fibrotic response in TOF.

22q11.2 deletions in patients with conotruncal defects: data from 1,610 consecutive cases.

The 22q11.2 deletion syndrome is characterized by multiple congenital anomalies including conotruncal cardiac defects. Identifying the patient with a 22q11.2 deletion (22q11del) can be challenging because many extracardiac features become apparent later in life. We sought to better define the cardiac phenotype associated with a 22q11del to help direct genetic testing. 1,610 patients with conotruncal defects were sequentially tested for a 22q11del. The counts and frequencies of primary lesions and cardiac features were tabulated for those with and those without a 22q11del. Logistic regression models investigated cardiac features that predicted deletion status in tetralogy of Fallot (TOF). Deletion frequency varied by primary anatomic phenotype. Regardless of the cardiac diagnosis, a concurrent aortic arch anomaly (AAA) was strongly associated with deletion status [odds ratio (OR), 5.07; 95 % confidence interval (CI), 3.66-7.04]. In the TOF subset, the strongest predictor of deletion status was an AAA (OR, 3.14; 95 % CI 1.87-5.27; p < 0.001), followed by pulmonary valve atresia (OR, 2.03; 95 % CI 1.02-4.02; p = 0.04). Among those with double-outlet right ventricle and transposition of the great arteries, only those with an AAA had a 22q11del. However, 5 % of the patients with an isolated conoventricular ventricular septal defect and normal aortic arch anatomy had a 22q11del, whereas no one with an interrupted aortic arch type A had a 22q11del. A subset of patients with conotruncal defects are at risk for a 22q11del. A concurrent AAA increases the risk regardless of the intracardiac anatomy. These findings help to direct genetic screening for the 22q11.2 deletion syndrome in the cardiac patient.

Predictors of Length of Hospital Stay After Complete Repair for Tetralogy of Fallot: A Prospective Cohort Study.

BACKGROUND: We sought to identify patient and surgical factors associated with time to hospital discharge in patients undergoing complete repair for tetralogy of Fallot. METHODS AND RESULTS: We performed a prospective cohort study of patients with tetralogy of Fallot admitted for complete repair between May 1, 2012 and June 2, 2017 at Children's Hospital of Philadelphia with detailed demographic, clinical, and operative characteristics. The primary outcome was time to hospital discharge. Cox proportional hazards models were used to identify patient and operative predictors of time to hospital discharge. We enrolled 151 subjects, 62.8% male, 65.6% non-Hispanic white, and 9.9% non-Hispanic black. The median time to hospital discharge was 7 days (interquartile range 4, 12). Five patients died in the hospital, all of whom underwent tetralogy of Fallot repair beyond the neonatal period. Greater birth weight was associated with higher rate of hospital discharge (hazard ratio [HR]=1.35, 95% confidence interval (CI) =1.11, 1.64), while absent pulmonary valve versus pulmonary stenosis (HR=0.27, 95% CI=0.08, 0.91), pulmonary valve atresia versus pulmonary stenosis (HR=0.57, 95% CI=0.33, 0.97), presence of aortopulmonary collaterals (HR=0.44, 95% CI=0.24, 0.84), complete repair performed in the neonatal period (<30 days of life) (HR=0.45, 95% CI=0.27, 0.75), more than 1 cardiopulmonary bypass run (HR=0.33, 95% CI=0.18, 0.61), and longer aortic cross-clamp time (HR [per 10 minutes]=0.88, 95% CI=0.79, 0.97) were associated with lower rate of hospital discharge. CONCLUSIONS: Postoperative hospital stay after complete repair of tetralogy of Fallot is in part determined by patient and operative factors. Some (eg, surgical strategy for the symptomatic neonate) may be modifiable. These results may impact patient counseling, choice of surgical approach, and postoperative care.

The Congenital Heart Disease Genetic Network Study: Cohort description.

The Pediatric Cardiac Genomics Consortium (PCGC) designed the Congenital Heart Disease Genetic Network Study to provide phenotype and genotype data for a large congenital heart defects (CHDs) cohort. This article describes the PCGC cohort, overall and by major types of CHDs (e.g., conotruncal defects) and subtypes of conotrucal heart defects (e.g., tetralogy of Fallot) and left ventricular outflow tract obstructions (e.g., hypoplastic left heart syndrome). Cases with CHDs were recruited through ten sites, 2010-2014. Information on cases (N = 9,727) and their parents was collected through interviews and medical record abstraction. Four case characteristics, eleven parental characteristics, and thirteen parent-reported neurodevelopment outcomes were summarized using counts and frequencies and compared across CHD types and subtypes. Eleven percent of cases had a genetic diagnosis. Among cases without a genetic diagnosis, the majority had conotruncal heart defects (40%) or left ventricular outflow tract obstruction (21%). Across CHD types, there were significant differences (p<0.05) in the distribution of all four case characteristics (e.g., sex), four parental characteristics (e.g., maternal pregestational diabetes), and five neurodevelopmental outcomes (e.g., learning disabilities). Several characteristics (e.g., sex) were also significantly different across CHD subtypes. The PCGC cohort is one of the largest CHD cohorts available for the study of genetic determinants of risk and outcomes. The majority of cases do not have a genetic diagnosis. This description of the PCGC cohort, including differences across CHD types and subtypes, provides a reference work for investigators who are interested in collaborating with or using publically available resources from the PCGC.