Abstract
Objective.
Patent ductus arteriosus (PDA) is a commonly observed condition in preterm infants. Prior studies have suggested a role for genetics in determining spontaneous ductal closure. Using samples from a large neonatal cohort we tested the hypothesis that common genetic variations are associated with PDA in extremely preterm infants.
Study Design.
Preterm infants (n=1013) enrolled at NICHD Neonatal Research Network sites were phenotyped for PDA. DNA was genotyped for 1634 single nucleotide polymorphisms (SNPs) from candidate genes. Analyses were adjusted for ancestral eigenvalues and significant epidemiologic variables.
Result.
SNPs in several genes were associated with the clinical diagnosis of PDA and with surgical ligation in extremely preterm neonates diagnosed with PDA (p<0.01). None of the associations were significant after correction for multiple comparisons.
Conclusion.
We identified several common genetic variants associated with PDA. These findings may inform further studies on genetic risk factors for PDA in preterm infants.
Introduction
The ductus arteriosus (DA) is a vital conduit that maintains a fetal shunt, preventing pulmonary overcirculation in utero. In infants born at term, this vessel typically constricts in the first days after birth, an important step in the complex process of separating the systemic and pulmonary circulations. Persistent patency of the DA (PDA) is commonly seen in extremely preterm infants suggesting a developmental or environmental risk factor for this condition. Chorioamnionitis, for example, is reported to be an environmental risk factor for PDA 1. In addition, gentamicin exposure in the face of sepsis appears to encourage relaxation of the DA 2. PDA has been associated with subsequent morbidities seen in preterm infants, such as bronchopulmonary dysplasia; however, it is unclear whether this association is causative 3, 4.
The current clinical approach to management of the PDA varies widely 5, 6. Among the more common approaches is treatment with a nonsteroidal anti-inflammatory drug when a clinician considers the PDA to be “hemodynamically significant” (a term with no standard definition). If the ductus remains patent after medical treatment and is still considered significant, clinicians may then opt for definitive surgical closure. While this is a common approach, thresholds for initiation of medical treatment, the medication used and its route of administration, and the risks and benefits of both medical and surgical closure are the subjects of ongoing investigation 7, 8.
There is growing evidence that genetic risk factors may play a role in PDA in preterm infants. Studies have clearly demonstrated increased concordance of PDA in monozygotic twins compared to dizygotic twins 9, 10. More recently, single nucleotide polymorphisms (SNPs) in several genes, including TFAP2B, PTGIS, and AGTR2, have been reported to be associated with PDA in preterm infants 11, 12. Several studies have also reported genetic risk factors for isolated PDA in term infants 13, 14. Prior studies investigating the role of genetic factors in preterm PDA have been limited by relatively small sample sizes.
We used anonymized DNA samples, collected as part of a prior study 15, to address the hypothesis that common genetic variants are associated with PDA in extremely preterm infants. We performed a secondary analysis to determine whether common genetic variants play a role in response to medical treatment. We utilized a candidate gene approach and a case-control study design, as parental DNA was not collected in the primary study. Identifying genes and pathways involved in PDA closure may help direct further research and inform therapeutic decisions.
Methods
Samples.
Our study population included 1,013 preterm infants born at less than 1,000 grams who had been enrolled by the Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network (NRN) between 1998 and 2001 in a study to examine the associations between cytokine levels from dried blood spots and neurodevelopment 15. Genomic DNA was extracted from infant blood spot samples stored in an anonymized DNA biorepository by the NRN. This DNA underwent whole-genome amplification prior to genotyping. Studies of the role of genetic factors in retinopathy of prematurity 16, intraventricular hemorrhage 17, and bronchopulmonary dysplasia 18 using these samples have been reported previously. Infants who died prior to three days of age and those with multiple congenital anomalies were excluded from analysis.
Phenotyping.
In the original study cohort, subjects were classified as having a PDA if clinical evidence of left to right PDA shunt was documented by continuous murmur, hyperdynamic precordium, bounding pulses, wide pulse pressure, congestive heart failure, increased pulmonary vasculature or cardiomegaly by CXR, and/or increased oxygen requirement or echocardiographic evidence of PDA with documentation of left to right ductal shunting. Standard scoring systems considering variables such as ductal geometry or shunt volume were not used at that time and thus those data were not available. Clinicians treated the PDA at their discretion at each of the individual participating NRN study sites. PDA was diagnosed in 511 infants. Medical treatment with non-steroidal medications was recorded in the research record. Surgical closure of the PDA was assumed to reflect failure of medical management and was performed in 163 infants who had received prior medical therapy.
Genotyping.
Investigators from several individual NRN sites (each interested in different conditions associated with prematurity) participated in the organization and genotyping effort of this cohort of preterm infants. Genotyping was performed from whole-genome amplified DNA using the Illumina GoldenGate platform for 1,634 SNPs from 145 candidate genes, each selected on the basis of biologic plausibility or associations with morbidities of prematurity in prior cohort studies. Statistical analyses for the PDA outcomes of interest included all genotyping data generated, regardless of whether the SNP was initially requested specifically for the study of PDA (n=51 SNPs). The majority of the study subjects (n=961; 94.9%) were successfully genotyped (SNP call rate >90%), indicating that high quality DNA was obtained from the stored blood spots. SNPs that did not achieve a sample call rate of >90% were not included in our analyses (21.8% removed).
Statistical analysis.
Characteristics of the study population were compared using chi-square tests for categorical variables and t-tests for continuous variable. Multivariate logistic regression was used to estimate the associations between each genetic variant and PDA status. Covariates examined for inclusion in the models were: gestational age, birth weight, sex, ancestry principal components (represented by the first 10 eigenvectors generated by the study sample), small-for-gestational age status, multiple birth, and antenatal steroid use. A secondary analysis tested the associations between genetic variants and surgical closure of the PDA following diagnosis and medical treatment among infants with PDA. Because 1278 SNPs were evaluated in 2 analyses, 2556 independent tests were performed in this study. The Bonferroni correction for multiple testing suggests a significance p-value threshold of 1.9 × 10−5. Although applying this stringent correction would certainly reduce false positive signals, it can essentially eliminate true positive signals in genetic studies. This is especially true if any individual genetic effect is small, as has typically been found in most GWA studies. Since our investigation was an exploratory, hypothesis-generating study, we opted to present SNPs with a p-value <0.01 as evidence of association. All analyses were performed using R and PLINK 1.9 19.
Results
Demographic characterization of the study cohort is shown in Table 1. As expected, infants with a PDA were of lower birth weight and gestational age, and less likely to have been exposed to antenatal corticosteroids. Unexpectedly, SGA status was seen less frequently in preterm neonates with a PDA compared to those without a PDA (P< 0.0001). This finding is consistent with two other recent reports focused on outcomes for SGA infants, but may reflect a higher mortality seen in SGA infants before the diagnosis of PDA 20, 21. Hispanic ethnicity was more common in preterm infants with a PDA compared to those without (P=0.036). The racial distribution of the current study population, approximately 50% Caucasian, differed significantly from that of our prior single-center genetic study of PDA, which was approximately 90% Caucasian 11.
Table 1.
Characteristic | PDA Absent (N=502) |
PDA Present (N=511) |
---|---|---|
Gestational age | 26.5 weeks | 25.3 weeks |
Birthweight | 792 g | 734 g |
Sex (% male) | 47.8% | 48.7% |
Race/Ethnicity | ||
–Caucasian | 50% | 48.9% |
–African American | 48% | 48.9% |
–Hispanic | 16.3% | 21.1% |
SGA | 20.7% | 8.2% |
Antenatal Steroids | 79.1% | 74.1% |
The results of a multivariable analysis comparing preterm infants with and without a PDA are shown in Table 2. The adjusted odds ratios presented in the table are greater than one if the major allele of a given variant is overrepresented in PDA and less than one if it is underrepresented in PDA. Three of the top 12 results (p-value < 0.01) were from SNPs within EPAS1 (previously known as HIF2A), a gene encoding endothelial PAS domain protein 1. Because of the likely role of oxygen signaling in a number of common morbidities seen in preterm infants, 60 SNPs throughout the EPAS1 gene were genotyped in this study. In contrast to our prior reports 11, 22, variants in TFAP2B (Transcription Factor AP-2 Beta) were not identified in this study as associated with PDA. The current study identified a genetic variant (rs1502245) in the gene PTGIS, which encodes prostaglandin I2 (prostacyclin) synthase, associated with PDA in preterm infants.
Table 2.
Gene | SNP ID | Major Allele | MAF* | N | aOR | p-value |
---|---|---|---|---|---|---|
EPAS1 | rs3088359 | C | T=0.46 | 961 | 1.64 | 0.00036 |
PTGIS | rs1502245 | A | G=0.38 | 956 | 1.47 | 0.00054 |
PGPEP1L | rs1521484 | C | G=0.44 | 940 | 1.45 | 0.0028 |
IGF1 | rs5742627 | G | A=0.009 | 934 | 0.616 | 0.0044 |
EDN1 | rs5370 | G | T=0.25 | 961 | 0.533 | 0.0045 |
EPAS1 | rs17035091 | C | G=0.09 | 960 | 2.317 | 0.0046 |
NRG1 | rs16879773 | G | A=0.13 | 961 | 0.513 | 0.0053 |
LRP4 | rs2306036 | T | C=0.33 | 959 | 0.69 | 0.0064 |
EPAS1 | rs11690950 | A | G=0.43 | 959 | 0.693 | 0.0076 |
NOS2 | rs6505469 | A | T=0.37 | 946 | 1.39 | 0.0082 |
FLT1 | rs7332329 | G | A=0.42 | 961 | 1.38 | 0.0084 |
ABCA4 | rs1931566 | G | C=0.17 | 960 | 1.84 | 0.0085 |
Minor allele frequency from 1000 Genomes in European Samples
N= Sample size genotyped
aOR= Adjusted odds ratio
A secondary analysis was performed to investigate genetic variation associated with surgical closure of a PDA, which was used as a surrogate for failed medical management (i.e., the PDA failed to permanently close after treatment with indomethacin or ibuprofen). Nine SNPs were associated with surgical closure of the PDA in extremely preterm infants, as shown in Table 3. Three SNPs in the STAT1 gene were identified with a p-value of <0.01. A total of 10 STAT1 SNPs were genotyped in the study. None of the findings presented here met statistical significance when corrected for multiple comparisons.
Table 3.
Gene | SNP ID | Major Allele | MAF* | N | aOR | p-value |
---|---|---|---|---|---|---|
STAT 1 | rs1914408 | G | A=0.20 | 484 | 2.45 | 0.0025 |
MTHFR | rs4846049 | G | T=0.37 | 483 | 1.64 | 0.0029 |
STAT1 | rs2280234 | T | C=0.41 | 484 | 0.622 | 0.0050 |
SOD3 | rs699473 | C | T=0.44 | 484 | 0.604 | 0.0051 |
STAT1 | rs2280235 | T | C=0.26 | 484 | 2.16 | 0.0054 |
NAA15 | rs1901173 | T | C=0.28 | 483 | 1.72 | 0.0054 |
F13A1 | rs5985 | G | A=0.15 | 482 | 1.81 | 0.0055 |
IGF1R | rs8034284 | T | C=0.47 | 484 | 1.56 | 0.0072 |
IL1B | rs1143627 | C | T=0.47 | 483 | 0.660 | 0.0094 |
Minor allele frequency from 1000 Genomes in European Samples
N= Sample size genotyped
aOR= Adjusted odds ratio
Discussion
After correcting for confounding variables, we identified three SNPs in EPAS1 and one SNP in EDN1 (gene encoding Endothelin-1) as associated with PDA (using a threshold of P<0.01), as shown in Table 2. Both EPAS1 and EDN1 encode proteins present in the mouse ductus arteriosus 23. Additionally, the expression of both genes is positively regulated by TFAP2B, the gene mutated in Char syndrome, which presents with multiple anomalies, including PDA in term infants 24. Although TFAP2B knockout mice die from the effects of a PDA shortly after birth and genetic variations in TFAP2B have been associated with PDA in other studies of preterm infants, our current analysis failed to replicate this finding. It is possible the study lacked power to identify any TFAB2B variants or that the significant racial/ethnic diversity of the current study population played a role in the absence of this association. This latter hypothesis is supported by the fact that our prior study utilized a family-based approach, which is less susceptible to the effects of population stratification compared to a case-control design, and the prior cohort was more racially homogeneous 11.
We also identified a variant (rs6505469) in NOS2, which encodes inducible nitric oxide, as being associated with PDA. In a mouse model, NOS2 is regulated by indomethacin, the most common pharmacologic agent used in the treatment of PDA 25. It is likely that risk for PDA is influenced by several common pathways affected by cyclooxygenase activity and the resulting alterations in bioactive lipid mediators. Our finding of a genetic variant in PTGIS associated with PDA further supports the critical role of lipid mediators in PDA physiology. Prostaglandin I2 (PGI2) is a vasodilatory prostanoid and levels of this compound are likely to be important in maintaining ductal patency 26. Additionally, both PGI2 synthase and the PGI2 receptor are expressed in the rodent ductus arteriosus 27. The PTGIS variant identified in this study, rs1502245, was not included in the haplotype found previously to be associated with PDA 11.
Vascular endothelial growth factor (VEGF) has been reported to play a possible role in a number of common complications of prematurity including bronchopulmonary dysplasia 28, retinopathy of prematurity 29 and PDA 30. VEGF plays an important role in the formation of ductal neointimal mounds, a critical step in permanent anatomical closure of the PDA. While none of the VEGF variants tested was associated with PDA, we identified two genes in the VEGF pathway associated with PDA: FLT1 (Fms Related Tyrosine Kinase 1), which encodes a VEGF receptor; and NRG1 (Neuregulin 1), which encodes a protein that upregulates VEGF expression in an animal model 31 and alters vascular neointimal growth 32.
Our secondary analysis examined genetic variants associated with surgical closure in extremely preterm infants following PDA diagnosis. Surgical ligation was performed in 31% (163/511) of the study infants. Although the incidence of PDA ligation has dropped considerably since the initial study (1998 to 2001), ligation was commonly performed at that time if the PDA remained open after medical therapy. Thus, the clinical decision to ligate is a valid marker of a failure to respond to indomethacin or ibuprofen administration. Three variations in the STAT1 (Signal Transducer and Activator of Transcription 1) gene were identified, as shown in Table 3. STAT1 encodes a transcriptional activator that responds to a growing number of growth factors and cytokines. Although STAT1 has been implicated in both preterm rupture of membranes 33 and in altered immune response in preterm infants 34, there have been no prior reports of association with PDA. Subsequent efforts to replicate this finding in an independent population will be important. One SNP in MTHFR, which encodes methyltetrahydrofolate reductase, was associated with surgical closure of the PDA. Although the mechanism through which MTHFR variants may act on the preterm PDA is unknown, this finding is interesting given a recent link reported between genetic variations in MTHFR and PDA in term infants in Taiwan 13. Our identification of a genetic variation in SOD3 (Superoxide Dismutase 3) is consistent with a prior report demonstrating decreased plasma superoxide dismutase (SOD) levels in preterm infants who developed a hemodynamically significant PDA compared to those who did not 35. The findings of our candidate gene study support several prior studies of PDA mediators in preterm infants, term infants, and animal models.
Because subjects undergoing surgical closure of a PDA are a smaller subset of all infants with a PDA one might expect overlap between the SNP’s listed in Table 2 and Table 3. One simple explanation for the lack of common SNPs between the two groups is the sample size which influences significance of association. It is also possible that genes in pathways that are influenced more by prostaglandin-related mechanisms are present in Table 2 and that those in Table 3 participate in more prostaglandin-independent pathways since they are associated with PDA after prostaglandin inhibition. Finally, a large number of random false positive signals may be present in both groups.
This is one of the largest studies to date examining genetic associations with PDA in extremely preterm infants. However, this strength in a study of preterm infants must be considered in comparison to reported genetic studies of common adult diseases, which often include hundreds of thousands of individuals 36. The limitation in sample size underscores the critical need for generating more neonatal biorepositories (both nationally and internationally) along with improved collaboration and sharing of neonatal samples and data among investigators to prevent underpowered studies involving preterm infants. Combining genotyping data from all NRN investigators studying several distinct conditions, as was done in this study, can also be viewed as a limitation of the study for statistical reasons. We intentionally evaluated all 1278 SNPs run on the platform rather than limiting the analysis to the 51 SNPs originally chosen exclusively for PDA analysis. A further limitation of the study was that diagnosis and treatment of PDA was at the treating clinicians’ preference, likely showing wide variations based on clinician and site preference. We were also limited by the quality and amount of PDA-related data available in a retrospectively-collected database. The initial cohort studied was also generated over 15 years ago (when PDA diagnosis and management was significantly different compared to today 37), which may limit extrapolation of our results to current preterm populations. From a statistical standpoint, we performed 2 analyses (PDA and surgical closure of a PDA) so the p-value considered statistically significant after correcting for multiple comparisons dropped to 1.9 × 10−5. On the other hand, greatly increasing the pool of genes/SNPs possibly contributing to PDA (from 51 to 1278) can be considered a strength by allowing the consideration of many genes free from selection bias. Determining this balance between hypothesis testing and hypothesis generation is similar to the considerations involved with planning whole-genome studies and was an important aspect of the study design. We arbitrarily chose a p-value of <0.01 to report as associations in this study to decrease the likelihood of missing true positive signals, knowing that false positive signals will inevitably be present. This approach is commonly used in preliminary genetic studies. Our finding of multiple SNPs in the same genes (e.g., EPAS1 and STAT1), however, increases the confidence that these may actually represent true positive results. In our study, the probability of randomly identifying associations between PDA and 3 SNPs in EPAS1 is 1:8000, and identifying 3 SNPs in STAT1 is less than 1 in a million. These numbers represent the probability of positive findings given the total number of SNPs we evaluated in our study, not the probability of finding associations in a given individual. Thus, our goal of using this information as part of an overall genetic risk score to help in treatment decisions remains a possibility. Genetic risk scores have been useful in predicting a number of common complex diseases in older children and adults38, 39, 40. Finally, the heterogeneity in ancestry of the current study population can be considered a strength with respect to the generalization of these findings, but it is also a limitation in identifying any ancestry-specific etiologies for PDA. We attempted to overcome this limitation by using ten principal components to correct for ancestral differences. The sample size of our study was too small to determine whether genetic variation was a significant risk factor in persistent patency of the ductus arteriosus when comparing different races/ethnicities. In addition to the candidate genotyping presented in this study, genome-wide data has also became available on a limited subset of these samples and is currently being analyzed. One advantage of a candidate gene approach over a genome-wide association study is the ability to look at specific genetic polymorphisms previously associated with PDA, or other related neonatal morbidities, rather than SNPs that may or may not be functional but are chosen for their ability to capture a large amount of the variation across the genome.
Genetic approaches are yielding valuable information regarding several adult diseases, including risk assessment and improved treatment strategies 41, 42, 43, 44. Large sample sizes are critical to performing association studies, especially in complex conditions with both genetic and environmental components. We report one of the largest studies to date of preterm infants with PDA, with respect to sample size and the number of SNPs analyzed. We replicated an association of PDA with genes identified in prior studies and identified new potential candidates for future studies. This information may prove useful in designing future studies, determining a genetic risk score for stratification, or identifying biological pathways that can be manipulated for therapeutic purposes.
Acknowledgements
Financial Support: Eunice Kennedy Shriver National Institute of Child Health and Human Development Neonatal Research Network, 5U10 HD040492–12; RO1HL109199 NIH (JD); 6-FY11–261 and 21-FY13–19 March of Dimes (JM) and individual grant numbers from sites within the NRN are included below.
The National Institutes of Health, the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) (grants U01 HD36790, U10 HD21364, U10 HD21373, U10 HD21385, U10 HD21397, U10 HD21415, U10 HD27851, U10 HD27853, U10 HD27856, U10 HD27871, U10 HD27880, U10 HD27881, U10 HD27904, U10 HD34216, U10 HD40461, U10 HD40492, U10 HD40498, U10 HD40689) and the National Center for Research Resources (General Clinical Research Center grants M01 RR30, M01 RR32, M01 RR39, M01 RR70, M01 RR80, M01 RR633, M01 RR750, M01 RR997, M01 RR6022, M01 RR7122, M01 RR8084, M01 RR16587) provided grant support for the Neonatal Research Network’s Glutamine trial which included the Genomic Study through cooperative agreements. While NICHD staff did have input into the study design, conduct, analysis, and manuscript drafting, the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.
Data collected at participating NRN sites were transmitted to RTI International, the data coordinating center (DCC) for the NRN, which stored, managed, and analyzed the data for this study. On behalf of the network, Drs. Abhik Das (DCC PI) and Grier Page (DCC Statistician) had full access to all the data in the study and take responsibility for the integrity of the data and accuracy of the data analysis. We are indebted to our medical and nursing colleagues and the infants and their parents who agreed to take part in this study. The following investigators, in addition to those listed as authors, participated in this study:
NRN Genomics Subcommittee: C. Michael Cotten, MD MHS (chair); Jeff Murray, MD (vice chair); Namasivayam Ambalavanan, MD; Edward F. Bell, MD; Kurt Schibler, MD; Beena G. Sood, MD; David K. Stevenson, MD; Barbara J. Stoll, MD; Krisa P. Van Meurs, MD; Waldemar A. Carlo MD; Seetha Shankaran MD; Ronald N. Goldberg, MD; Richard A. Ehrenkranz, MD; Jon E. Tyson, MD, MPH; Ivan D. Frantz III, MD; Abhik Das, PhD; Rosemary D. Higgins, MD; Karen J. Johnson, RN BSN.
NRN Steering Committee Chair: Alan H. Jobe, MD PhD, University of Cincinnati. Alpert Medical School of Brown University and Women & Infants Hospital of Rhode Island (U10 HD27904) – Abbot R. Laptook, MD; William Oh, MD; Lewis P. Rubin, MD; Angelita M. Hensman, RN BSN.
Case Western Reserve University, Rainbow Babies & Children’s Hospital (U10 HD21364, M01 RR80) – Avroy A. Fanaroff, MD; Michele C. Walsh, MD MS; Nancy S. Newman, RN; Bonnie S. Siner, RN.
Cincinnati Children’s Hospital Medical Center, University Hospital and Good Samaritan Hospital (U10 HD27853, M01 RR8084) – Edward F. Donovan, MD; Vivek Narendran, MD MRCP; Barbara Alexander, RN; Cathy Grisby, BSN CCRC; Jody Hessling, RN; Marcia Worley Mersmann, RN CCRC; Holly L. Mincey, RN BSN.
Duke University School of Medicine, University Hospital, Alamance Regional Medical Center, and Durham Regional Hospital (M01 RR30, U10 HD40492) – Kathy J. Auten, MSHS.
Emory University, Children’s Healthcare of Atlanta, Grady Memorial Hospital, and Emory Crawford Long Hospital (U10 HD27851, M01 RR39) – Ellen C. Hale, RN BS CCRC.
Eunice Kennedy Shriver National Institute of Child Health and Human Development – Linda L. Wright, MD; Sumner J. Yaffe, MD; Elizabeth M. McClure, MEd.
Indiana University, University Hospital, Methodist Hospital, Riley Hospital for Children, and Wishard Health Services (U10 HD27856, M01 RR750) – Brenda B. Poindexter, MD MS; James A. Lemons, MD; Diana D. Appel, RN BSN; Dianne E. Herron, RN; Leslie D. Wilson, BSN CCRC.
RTI International (U10 HD36790) – W. Kenneth Poole, PhD (deceased); Scott A. McDonald, BS; Betty K. Hastings; Kristin M. Zaterka-Baxter, RN BSN; Jeanette O’Donnell Auman, BS; Scott E. Schaefer, MS.
Stanford University, Lucile Packard Children’s Hospital (U10 HD27880, M01 RR70) – David K. Stevenson, MD; Krisa P. Van Meurs, MD; M. Bethany Ball, BS CCRC.
University of Alabama at Birmingham Health System and Children’s Hospital of Alabama (U10 HD34216, M01 RR32) – Namasivayam Ambalavanan, MD; Monica V. Collins, RN BSN MaEd; Shirley S. Cosby, RN BSN.
University of California – San Diego Medical Center and Sharp Mary Birch Hospital for Women (U10 HD40461) – Neil N. Finer, MD; Maynard R. Rasmussen, MD; David Kaegi, MD; Kathy Arnell, RNC; Clarence Demetrio, RN; Wade Rich, BSHS RRT.
University of Iowa Stead Family Children’s Hospital (U10 HD53109, M01 RR59, UL1 TR442) – Edward F. Bell, MD; Karen J. Johnson, RN.
University of Miami, Holtz Children’s Hospital (U10 HD21397, M01 RR16587) – Charles R. Bauer, MD; Shahnaz Duara, MD; Ruth Everett-Thomas, RN MSN.
University of New Mexico Health Sciences Center (U10 HD27881, M01 RR997) – Lu-Ann Papile, MD; Conra Backstrom Lacy, RN.
University of Tennessee (U10 HD21415) – Sheldon B. Korones, MD; Henrietta S. Bada, MD; Tina Hudson, RN BSN.
University of Texas Southwestern Medical Center at Dallas Parkland Health & Hospital System and Children’s Medical Center Dallas (U10 HD40689, M01 RR633) – Abbot R. Laptook, MD; Walid A. Salhab, MD; Susie Madison, RN.
University of Texas Health Science Center at Houston Medical School, Children’s Memorial Hermann Hospital, and Lyndon B. Johnson General Hospital (U10 HD21373) – Kathleen A. Kennedy, MD MPH; Brenda H. Morris, MD; Esther G. Akpa, RN BSN; Patty A. Cluff, RN; Claudia I. Franco, RNC MSN; Anna E. Lis, RN BSN; Georgia E. McDavid, RN; Patti Pierce Tate, RCP.
Wake Forest University Baptist Medical Center, Forsyth Medical Center, and Brenner Children’s Hospital (U10 HD40498, M01 RR7122) – T. Michael O’Shea, MD MPH; Nancy J. Peters, RN CCRP.
Wayne State University, Hutzel Women’s Hospital and Children’s Hospital of Michigan (U10 HD21385) – G. Ganesh Konduri, MD; Rebecca Bara, RN BSN; Geraldine Muran, RN BSN. Yale University, Yale-New Haven Children’s Hospital (U10 HD27871, M01 RR6022) – Patricia Gettner, RN; Monica Konstantino, RN BSN; JoAnn Poulsen, RN.
Footnotes
Disclosure statement- The authors have no financial conflicts to disclose.
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