Publications

(1) Background: To identify reasons for the persistence of surgical ligation of the patent ductus arteriosus (PDA) in premature infants after the 2019 Food and Drug Administration (FDA) approval of transcatheter device closure; (2) Methods: We performed a 10-year (2014-2023) single-institution retrospective study of premature infants (<37 weeks) and compared clinical characteristics and neonatal morbidities between neonates that underwent surgical ligation before (epoch 1) and after (epoch 2) FDA approval of transcatheter closure; (3) Results: We identified 120 premature infants that underwent surgical ligation (n = 94 before, n = 26 after FDA approval). Unfavorable PDA morphology, active infection, and recent abdominal pathology were the most common reasons for surgical ligation over device occlusion in epoch 2. There were no differences in demographics, age at closure, or outcomes between infants who received surgical ligation in the two epochs; (4) Conclusions: Despite increasing trends for transcatheter PDA closure in premature infants, surgical ligation persists due to unfavorable ductal morphology, active infection, or abdominal pathology.

Congenital heart disease affects 1% of infants and is associated with impaired neurodevelopment. Right- or left-sided sulcal features correlate with executive function among people with Tetralogy of Fallot or single ventricle congenital heart disease. Studies of multiple congenital heart disease types are needed to understand regional differences. Further, sulcal pattern has not been studied in people with d-transposition of the great arteries. Therefore, we assessed the relationship between sulcal pattern and executive function, general memory, and processing speed in a meta-regression of 247 participants with three congenital heart disease types (114 single ventricle, 92 d-transposition of the great arteries, and 41 Tetralogy of Fallot) and 94 participants without congenital heart disease. Higher right hemisphere sulcal pattern similarity was associated with improved executive function (Pearson r = 0.19, false discovery rate-adjusted P = 0.005), general memory (r = 0.15, false discovery rate P = 0.02), and processing speed (r = 0.17, false discovery rate P = 0.01) scores. These positive associations remained significant in for the d-transposition of the great arteries and Tetralogy of Fallot cohorts only in multivariable linear regression (estimated change β = 0.7, false discovery rate P = 0.004; β = 4.1, false discovery rate P = 0.03; and β = 5.4, false discovery rate P = 0.003, respectively). Duration of deep hypothermic circulatory arrest was also associated with outcomes in the multivariate model and regression tree analysis. This suggests that sulcal pattern may provide an early biomarker for prediction of later neurocognitive challenges among people with congenital heart disease.

OBJECTIVE: Impairments in the maternal-fetal environment are associated with adverse postnatal outcomes among infants with congenital heart disease. Therefore, we sought to investigate placental anomalies as they related to various forms of fetal congenital heart disease (FCHD).

METHODS: We reviewed the placental pathology in singleton pregnancies with and without FCHD. FCHD was divided into separate categories (transposition physiology, obstructive left, obstructive right, biventricular without obstruction, and others). Exclusion criteria included other prenatally known structural malformations and/or aneuploidy. The significance threshold was set at p < 0.05 or False Discovery rate q < 0.05 when multiple tests were performed.

RESULTS: The cohort included 215 FCHD and 122 non-FCHD placentas. FCHD placentas showed increased rates of maternal vascular malperfusion (24% vs. 5%, q < 0.001) and cord anomalies (27% vs. 1%, q < 0.001). Placentas with fetal TGA demonstrated a lower rate of hypoplasia when compared with other FCHD types (1/39 vs. 51/176, Fisher's exact p = 0.015).

CONCLUSION: Placental maternal vascular malperfusion is increased in FCHD. The prevalence of vascular malperfusion did not differ by FCHD type, indicating that CHD type does not predict the likelihood of placental vascular dysfunction. Further investigation of the placental-fetal heart axis in FCHD is warranted given the importance of placental health.

BACKGROUND: Neonatal infections due to Paenibacillus species have increasingly been reported over the last few years.

METHODS: We performed a structured literature review of human Paenibacillus infections in pediatric and adult patients to compare the epidemiology of infections between these distinct patient populations.

RESULTS: Forty reports describing 177 infections were included. Two additional cases were brought to our attention by colleagues. There were 38 Paenibacillus infections occurring in adults caused by 23 species. The clinical presentations of infections were quite variable. In contrast, infections in infants were caused primarily by Paenibacillus thiaminolyticus (112/141, 79%). All the infants with Paenibacillus infection presented with sepsis syndrome or meningitis, often complicated by extensive cerebral destruction and hydrocephalus. Outcomes were commonly poor with 17% (24/141) mortality. Cystic encephalomalacia due to brain destruction was common in both Ugandan and American infant cases and 92/141 (65%) required surgical management of hydrocephalus following their infection.

CONCLUSIONS: Paenibacillus species seem to cause a clinical syndrome in infants characterized by brain abscesses, hydrocephalus and death. This contrasts with infection in adults, which is sporadic with only rare involvement of the central nervous system and very few deaths.

Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose AI, could predict neurologic changes in the neonatal intensive care unit (NICU). We collected 4,705 hours of video linked to electroencephalograms (EEG) from 115 infants. We trained a deep learning pose algorithm that accurately predicted anatomic landmarks in three evaluation sets (ROC-AUCs 0.83-0.94), showing feasibility of applying pose AI in an ICU. We then trained classifiers on landmarks from pose AI and observed high performance for sedation (ROC-AUCs 0.87-0.91) and cerebral dysfunction (ROC-AUCs 0.76-0.91), demonstrating that an EEG diagnosis can be predicted from video data alone. Taken together, deep learning with pose AI may offer a scalable, minimally invasive method for neuro-telemetry in the NICU.

Boston Children's Hospital has established a genomic sequencing and analysis research initiative to improve clinical care for pediatric rare disease patients. Through the Children's Rare Disease Collaborative (CRDC), the hospital offers CLIA-grade exome and genome sequencing, along with other sequencing types, to patients enrolled in specialized rare disease research studies. The data, consented for broad research use, are harmonized and analyzed with CRDC-supported variant interpretation tools. Since its launch, 66 investigators representing 26 divisions and 45 phenotype-based cohorts have joined the CRDC. These studies enrolled 4653 families, with 35% of analyzed cases having a finding either confirmed or under further investigation. This accessible and harmonized genomics platform also supports additional institutional data collections, research and clinical, and now encompasses 13,800+ patients and their families. This has fostered new research projects and collaborations, increased genetic diagnoses and accelerated innovative research via integration of genomics research with clinical care.

OBJECTIVE: To evaluate patterns of genetic testing among infants with CHD at a tertiary care center.

STUDY DESIGN: We conducted a retrospective observational cohort study of infants in the NICU with suspicion of a genetic disorder. 1075 of 7112 infants admitted to BCH had genetic evaluation including 329 with CHD and 746 without CHD. 284 of 525 infants with CHD admitted to CMHH had genetic evaluation. Patterns of testing and diagnoses were compared.

RESULTS: The rate of diagnosis after testing was similar for infants with or without CHD (38% [121/318] vs. 36% [246/676], p = 0.14). In a multiple logistic regression, atrioventricular septal defects were most high associated with genetic diagnosis (odds ratio 29.99, 95% confidence interval 2.69-334.12, p < 0.001).

CONCLUSIONS: Infants with suspicion of a genetic disorder with CHD had similar rates of molecular diagnosis as those without CHD. These results support a role for genetic testing among NICU infants with CHD.

OBJECTIVE: Persons with congenital heart disease (CHD) are at increased risk of neurodevelopmental disabilities, including impairments to executive function. Sulcal pattern features correlate with executive function in adolescents with single-ventricle heart disease and tetralogy of Fallot. However, the interaction of sulcal pattern features with genetic and participant factors in predicting executive dysfunction is unknown.

METHODS: We studied sulcal pattern features, participant factors, and genetic risk for executive function impairment in a cohort with multiple CHD types using stepwise linear regression and machine learning.

RESULTS: Genetic factors, including predicted damaging de novo or rare inherited variants in neurodevelopmental disabilities risk genes, apolipoprotein E genotype, and principal components of sulcal pattern features were associated with executive function measures after adjusting for age at testing, sex, mother's education, and biventricular versus single-ventricle CHD in a linear regression model. Using regression trees and bootstrap validation, younger participant age and larger alterations in sulcal pattern features were consistently identified as important predictors of decreased cognitive flexibility with left hemisphere graph topology often selected as the most important predictor. Inclusion of both sulcal pattern and genetic factors improved model fit compared to either alone.

INTERPRETATION: We conclude that sulcal measures remain important predictors of cognitive flexibility, and the model predicting executive outcomes is improved by inclusion of potential genetic sources of neurodevelopmental risk. If confirmed, measures of sulcal patterning may serve as early imaging biomarkers to identify those at heightened risk for future neurodevelopmental disabilities.

Individuals with congenital heart disease (CHD) have an increased risk of neurodevelopmental impairments. Given the hypothesized complexity linking genomics, atypical brain structure, cardiac diagnoses and their management, and neurodevelopmental outcomes, unsupervised methods may provide unique insight into neurodevelopmental variability in CHD. Using data from the Pediatric Cardiac Genomics Consortium Brain and Genes study, we identified data-driven subgroups of individuals with CHD from measures of brain structure. Using structural magnetic resonance imaging (MRI; N = 93; cortical thickness, cortical volume, and subcortical volume), we identified subgroups that differed primarily on cardiac anatomic lesion and language ability. In contrast, using diffusion MRI (N = 88; white matter connectivity strength), we identified subgroups that were characterized by differences in associations with rare genetic variants and visual-motor function. This work provides insight into the differential impacts of cardiac lesions and genomic variation on brain growth and architecture in patients with CHD, with potentially distinct effects on neurodevelopmental outcomes.