Improved surgical outcome after fetal diagnosis of hypoplastic left heart syndrome

Contemporary prenatal diagnosis of congenital heart disease in a regional perinatal center lacking onsite pediatric cardiac surgery: obstetrical and neonatal outcomes

OBJECTIVES

Determine obstetrical and neonatal outcomes in neonates with major CHD delivered at a level IV neonatal intensive care units (NICU) center lacking onsite pediatric cardiac surgery.

METHODS

A 10- year retrospective review of all neonates admitted to our level IV NICU, with CHD between January 1st, 2011 and December 31st, 2021. Births and NICU charts were cross queried with those from our perinatal center which include pediatric cardiology records. Terminations and stillbirths were excluded.

RESULTS

A total of 285 neonates with major CHD and 78 with minor defects were included. In the major CHD group, 82.8 % had an isolated cardiac anomaly and 17.2 % had an extracardiac anomaly. Type of extracardiac anomaly had no impact on neonatal survival. Prenatal diagnosis of aneuploidy did not impact survival in major CHD. Truncus arteriosus had the highest NICU mortality at 34.0 % followed by hypoplastic left heart syndrome (HLHS) at 31.6 %. Double outlet right ventricle with transposition of the great vessels and interrupted aortic arch (both types) had a 25 % mortality. Neonates with truncus arteriosus and total anomalous pulmonary venous returns were likely to have 5-min Apgar score<7. Transfer rate of neonates with major CHD for cardiac surgery was 58.6 %. Of those 81.5 % were discharged home, 14.3 % expired before discharge, and 1 % were transferred elsewhere post-operatively for higher level of care.

CONCLUSIONS

Neonates with major CHD can deliver safely at a level IV NICU lacking onsite pediatric cardiac surgery. Our neonatal mortality was high for HLHS and truncus arteriosus, however comparable to other centers with proximate pediatric cardiac surgery.

Cardiovascular Ultrasound Predictors for Brain Alterations in Fetuses With Heart Disease: An Exploratory Review of the Literature

OBJECTIVE

To identify cardiovascular ultrasound predictors for brain anomalies in fetuses with heart disease.

METHODS

A literature search was performed in the following databases: MEDLINE through OVID, EMBASE, Cochrane Registry Center for Controlled Trials (CENTRAL), and LILACS, from their inception until May 2023. Clinical studies, cross-sectional studies, case-control studies, cohorts, and systematic reviews were included. Data extraction was performed, and the risk of bias was assessed using the QUADAS-2 tool.

RESULTS

Among 2705 studies evaluated, after filtering information, 10 articles were selected that met the inclusion criteria. These studies noted the following outcomes: a decrease in fetal head circumference, changes in brain maturation measured in days, decreased depth of brain fissures, and a decrease in total brain volume. The studies show a statistically significant correlation with the presence of the following cardiovascular predictors: low or mixed oxygen content in the ascending aorta (p < 0.001), retrograde flow in the aortic arch (p < 0.001), lower z values of the MCA-PI (p < 0.05), higher UA-PI z values (p < 0.01), and lower CPR (p < 0.05). In addition, lower values of left ventricular flow (p < 0.01), ductus arteriosus (p < 0.0001), and combined cardiac output index (p < 0.01) were reported.

CONCLUSIONS

This review describes the most relevant evidence correlating the effects of hemodynamic changes that lead to states of chronic hypoxia related to the aforementioned changes in the central nervous system.

Geospatial Distribution of Prenatally and Postnatally Diagnosed Congenital Heart Disease: Implications for Equitable Care from a Fetal Heart Society Research Collaborative Study

OBJECTIVE

To characterize patterns in the geospatial distribution of pre- and postnatally diagnosed congenital heart disease (CHD) across 6 surgical centers.

STUDY DESIGN

A retrospective, multicenter case series from the Fetal Heart Society identified patients at 6 centers from 2012 through 2016 with prenatally (PrND) or postnatally (PoND) diagnosed hypoplastic left heart syndrome (HLHS) or d-transposition of the great arteries (TGA). Geospatial analysis for clustering was done by the average nearest neighbor (ANN) tool or optimized hot spot tool, depending on spatial unit and data type. Both point location and county case rate per 10 000 live births were assessed for geographic clustering or dispersion.

RESULTS

Of the 453 CHD cases, 26% were PoND (n = 117), and 74% were PrND (n = 336). PrND cases, in all but one center, displayed significant geographic clustering by the ANN. Conversely, PoND cases tended toward geographic dispersion. Dispersion of PoND HLHS occurred in 2 centers (ANN = 1.59, P < .001; and 1.47, P = .016), and PoND TGA occurred in 2 centers (ANN = 1.22, P < .05; and ANN = 1.73, P < .001). Hot spot analysis of all CHD cases (TGA and HLHS combined) revealed clustering near areas of high population density and the tertiary surgical center. Hot spot analysis of county-level case rate, accounting for population density, found variable clustering patterns.

CONCLUSION

Geographic dispersion among postnatally detected CHD highlights the need for a wider reach of prenatal cardiac diagnosis tailored to the specific needs of a community. Geospatial analysis can support centers in improving the equitable delivery of prenatal care.

Comprehensive Review of the Psychosocial Impact on Parents of Newborns With Congenital Heart Disease: A Significant Problem in Low- and Middle-Income Countries

Congenital heart disease (CHD) is a common and significant congenital disorder. Despite advancements in neonatal care, Congenital heart disease remains a leading cause of death among infants with congenital malformations. Congenital heart disease is responsible for a significant portion of stillbirths and includes several forms with various anatomical variations. A CHD diagnosis leads to significant emotional distress for parents, affecting family dynamics and quality of life. Parents often experience psychological impacts, such as anxiety, depression, and guilt, particularly when diagnoses occur after birth. This literature review explores the psychosocial impact of CHD on families and examines how the timing of diagnosis influences outcomes. Parents face numerous challenges, including managing complex medical care and addressing financial and emotional burdens. Effective communication between healthcare providers and families is crucial, as is providing continuous emotional support and counseling. Early psychological interventions can alleviate depression and anxiety, and pediatric psychologists play a significant role in reducing the negative long-term effects on neurodevelopment. Further research is needed to develop strategies to improve mental health services and enhance the quality of life for families affected by CHD.

Managing CHD in Tertiary NICU in Collaboration with a Cardiothoracic Center

Increasingly non-cardiac tertiary neonatal intensive care units (NCTNs) manage newborns with CHD prior to planned transfer to specialist cardiac surgical centres (SCSC). It improves patient flow in SCSCs, enables families to be nearer home, and improves psychological well-being Parker et al. (Evaluating models of care closer to home for children and young people who are ill: a systematic review, 2011). This practice has gradually increased as the number of SCSCs has decreased. This study examines the effectiveness of this expanding practice. The management provided, length of stay in the NCTN and outcomes are described for one UK NCTN situated at a significant distance from its SCSC. A retrospective observational study of cardiac-related admissions to a NCTN between January 2010 and December 2019 was conducted. 190 neonates were identified: 41 had critical CHD; 64 had major CHD. The cohort includes babies with a wide range of cardiac conditions and additional complexities. 23.7% (n = 45) required transfer to a specialist center after a period of stabilization and growth ranging from several hours to 132 days. 68% (n = 130) were discharged home or repatriated to a local NICU. Of the remaining 15 babies, 13 were transferred to other specialties including the hospice. Two died on NICU. The mortality was consistent with the medical complexity of the group Best and Rankin (J Am Heart Assoc 5:e002846, 2016), Laas et al. (BMC Pediatr 17:124, 2017). 8.9% (n = 17) died before age 2. Nine babies had care redirected due to an inoperable cardiac condition or life-limiting comorbidities. Our study demonstrates a complex neonatal cohort with CHD can be managed effectively in a NCTN, supporting the current model of care. The NCTN studied was well supported by pediatricians with expertise in cardiology alongside visiting pediatric cardiologists.

Utilizing Fetal Echocardiography to Risk Stratify and Predict Neonatal Outcomes in Fetuses Diagnosed with Congenital Heart Disease

OBJECTIVE

 Risk stratification of fetuses diagnosed with congenital heart disease (CHD) helps provide a delivery plan and prepare families and medical teams on expected course in the delivery room. Our aim was to assess the accuracy of echocardiographically determined risk-stratification assignments in predicting postnatal cardiac outcomes beyond the delivery room.

STUDY DESIGN

 This was a retrospective study at a single center evaluating all fetuses with CHD who were risk-stratified by echocardiographically determined level of care (LOC) assignment, ranging from 1a (lowest risk) to 4 (highest risk). All data were collected from January 1, 2017, to November 1, 2021. Outcomes included any unexpected cardiac interventions and neonatal clinical outcomes including in-hospital mortality, the need for prostaglandins or inotropes, and defined critical illness. These outcomes were assessed for each LOC assignment by Fisher's exact test.

RESULTS

 Out of 817 patients assigned a LOC, a total of 747 fetuses were included in our final cohort with a separate subanalysis of 70 fetuses diagnosed with coarctation of the aorta. The sensitivity and specificity were high for all LOC levels in predicting delivery room needs (93-100%). Higher LOC levels (3-4) had a lower positive predictive value (66-67%) indicating a high false-positive rate. Subjects with higher LOC assignments had a greater frequency of critical illness, hospital mortality, need for inotropes, need for neonatal surgical or catheterization interventions, and need for prostaglandins (p < 0.001 for all outcomes). A post-hoc analysis reviewing LOC assignments revealed a greater tendency to over-assign LOC at higher assignments (19% for LOC 3 and 4) compared to lower assignments (4% for LOC 1 and 2).

CONCLUSION

 Risk stratification based on fetal echocardiography can predict neonatal clinical outcomes and acuity of postnatal management needs. However, there is greater variability in expected clinical events and an expected degree of false positives for those with higher LOC assignments.

KEY POINTS

· Risk stratification utilizing fetal echocardiography can be used to predict neonatal needs.. · Complex heart disease has lower positive predictive value in predicting postnatal clinical needs.. · There is a tendency to over-assign risk of acute hemodynamic instability for complex heart disease.. · False positives are expected when planning high-risk deliveries to avoid compromising situations..

Controlled prospective study on ultrasound simulation training in fetal echocardiography: FESIM II

PURPOSE

To analyze the learning curves of ultrasound novices in fetal echocardiography during structured simulation-based ultrasound training (SIM-UT) including a virtual, randomly moving fetus.

METHODS

11 medical students with minimal (< 10 h) prior obstetric ultrasound experience underwent 12 h of structured fetal echocardiography SIM-UT in individual hands-on sessions during a 6-week training program. Their learning progress was assessed with standardized tests after 2, 4, and 6 weeks of SIM-UT. Participants were asked to obtain 11 fetal echocardiography standard planes (in accordance with ISUOG and AHA guidelines) as quickly as possible. All tests were carried out under real life, examination-like conditions on a healthy, randomly moving fetus. Subsequently, we analyzed the rate of correctly obtained images and the total time to completion (TTC). As reference groups, 10 Ob/Gyn physicians (median of 750 previously performed Ob/Gyn scans) and 10 fetal echocardiography experts (median of 15,000 previously performed Ob/Gyn scans) were examined with the same standardized tests.

RESULTS

The students showed a consistent and steady improvement of their ultrasound performance during the training program. After 2 weeks, they were able to obtain > 95% of the standard planes correctly. After 6 weeks, they were significantly faster than the physician group (p < 0.001) and no longer significantly slower than the expert group (p = 0.944).

CONCLUSION

SIM-UT is highly effective to learn fetal echocardiography. Regarding the acquisition of the AHA/ISUOG fetal echocardiography standard planes, the students were able to reach the same skill level as the expert group within 6 weeks.

Cost-utility analysis of prenatal diagnosis of congenital cardiac diseases using deep learning

BACKGROUND

Deep learning (DL) is a new technology that can assist prenatal ultrasound (US) in the detection of congenital heart disease (CHD) at the prenatal stage. Hence, an economic-epidemiologic evaluation (aka Cost-Utility Analysis) is required to assist policymakers in deciding whether to adopt the new technology.

METHODS

The incremental cost-utility ratios (CUR), of adding DL assisted ultrasound (DL-US) to the current provision of US plus pulse oximetry (POX), was calculated by building a spreadsheet model that integrated demographic, economic epidemiological, health service utilization, screening performance, survival and lifetime quality of life data based on the standard formula: CUR = Increase in Intervention Costs - Decrease in Treatment costs Averted QALY losses of adding DL to US & POX US screening data were based on real-world operational routine reports (as opposed to research studies). The DL screening cost of 145 USD was based on Israeli US costs plus 20.54 USD for reading and recording screens.

RESULTS

The addition of DL assisted US, which is associated with increased sensitivity (95% vs 58.1%), resulted in far fewer undiagnosed infants (16 vs 102 [or 2.9% vs 15.4%] of the 560 and 659 births, respectively). Adoption of DL-US will add 1,204 QALYs. with increased screening costs 22.5 million USD largely offset by decreased treatment costs (20.4 million USD). Therefore, the new DL-US technology is considered "very cost-effective", costing only 1,720 USD per QALY. For most performance combinations (sensitivity > 80%, specificity > 90%), the adoption of DL-US is either cost effective or very cost effective. For specificities greater than 98% (with sensitivities above 94%), DL-US (& POX) is said to "dominate" US (& POX) by providing more QALYs at a lower cost.

CONCLUSION

Our exploratory CUA calculations indicate the feasibility of DL-US as being at least cost-effective.

Maternal and neonatal factors associated with cesarean delivery in a cohort of pregnancies complicated by prenatally diagnosed congenital heart disease

BACKGROUND

Pregnancies with prenatally diagnosed congenital heart disease (CHD) have increased cesarean delivery (CD) rates, with no outcome improvement.

OBJECTIVE

We aim to examine indications for delivery, indications for CD and risk factors associated with CD.

STUDY DESIGN

Retrospective cohort of 322 singleton pregnancies prenatally diagnosed with moderate to severe CHD. We compared maternal and fetal factors correlated with delivery route.

RESULTS

CD rate was 46% (95% CI 40, 51%). Of all CD, 31.3% (95% CI 23.8, 38.7) were secondary to urgent fetal indications. However, 79.7% of inductions resulted in vaginal delivery (VD). Factors associated with CD include morbid obesity (RR 3.0, 95% CI 1.5, 6.1), diabetes (RR 3.9, 95% CI 2.0, 7.3) and severe pre-eclampsia (6.0, 95% CI 1.7, 21.4). Of the 10 most frequent CHD diagnoses, only hypoplastic-left-heart was associated with CD (OR 1.9, 95% CI 1.02, 3.4).

CONCLUSIONS

Although the CD rate is higher in fetal CHD, most indications for CD are maternal.

Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection

INTRODUCTION

Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatments and stops the progression of disabilities. Congenital anomalies can be diagnosed prenatally through morphology scans. A correct interpretation of the morphology scan allows a detailed discussion with the parents regarding the prognosis. The central feature of this project is the development of a specialised intelligent system that uses two-dimensional ultrasound movies obtained during the standard second trimester morphology scan to identify congenital anomalies in fetuses.

METHODS AND ANALYSIS

The project focuses on three pillars: committee of deep learning and statistical learning algorithms, statistical analysis, and operational research through learning curves. The cross-sectional study is divided into a training phase where the system learns to detect congenital anomalies using fetal morphology ultrasound scan, and then it is tested on previously unseen scans. In the training phase, the intelligent system will learn to answer the following specific objectives: (a) the system will learn to guide the sonographer's probe for better acquisition; (b) the fetal planes will be automatically detected, measured and stored and (c) unusual findings will be signalled. During the testing phase, the system will automatically perform the above tasks on previously unseen videos.Pregnant patients in their second trimester admitted for their routine scan will be consecutively included in a 32-month study (4 May 2022-31 December 2024). The number of patients is 4000, enrolled by 10 doctors/sonographers. We will develop an intelligent system that uses multiple artificial intelligence algorithms that interact between themselves, in bulk or individual. For each anatomical part, there will be an algorithm in charge of detecting it, followed by another algorithm that will detect whether anomalies are present or not. The sonographers will validate the findings at each intermediate step.

ETHICS AND DISSEMINATION

All protocols and the informed consent form comply with the Health Ministry and professional society ethics guidelines. The University of Craiova Ethics Committee has approved this study protocol as well as the Romanian Ministry of Research Innovation and Digitization that funded this research. The study will be implemented and reported in line with the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) statement.

TRIAL REGISTRATION NUMBER

The study is registered under the name 'Pattern recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical Learning', project number 101PCE/2022, project code PN-III-P4-PCE-2021-0057.

TRIAL REGISTRATION

ClinicalTrials.gov, unique identifying number NCT05738954, date of registration: 2 November 2023.

Prenatal Diagnosis of a Ductal-Dependent Branch Pulmonary Artery: Extra Vessels in the 3-Vessel and Trachea View

Obtaining a three-vessel (3V) and three-vessel and trachea (3VT) view from the fetal upper mediastinum is now considered to be part of standard imaging protocol for routine obstetric cardiac screening examinations. We report two fetal cases of an anomalous pulmonary artery origin, utilizing the standard 3V and 3VT views. Further imaging led to a rare diagnosis of bilateral ductus arteriosus with discontinuous branch pulmonary arteries in the absence of any other congenital heart defect. We briefly discuss the imaging features, differential diagnoses, and management of this rare entity.

Congenital heart disease detection by pediatric electrocardiogram based deep learning integrated with human concepts

Early detection is critical to achieving improved treatment outcomes for child patients with congenital heart diseases (CHDs). Therefore, developing effective CHD detection techniques using low-cost and non-invasive pediatric electrocardiogram are highly desirable. We propose a deep learning approach for CHD detection, CHDdECG, which automatically extracts features from pediatric electrocardiogram and wavelet transformation characteristics, and integrates them with key human-concept features. Developed on 65,869 cases, CHDdECG achieved ROC-AUC of 0.915 and specificity of 0.881 on a real-world test set covering 12,000 cases. Additionally, on two external test sets with 7137 and 8121 cases, the overall ROC-AUC were 0.917 and 0.907 while specificities were 0.937 and 0.907. Notably, CHDdECG surpassed cardiologists in CHD detection performance comparison, and feature importance scores suggested greater influence of automatically extracted electrocardiogram features on CHD detection compared with human-concept features, implying that CHDdECG may grasp some knowledge beyond human cognition. Our study directly impacts CHD detection with pediatric electrocardiogram and demonstrates the potential of pediatric electrocardiogram for broader benefits.

Prenatal Diagnosis of Congenital Heart Disease and Voluntary Termination of Pregnancy: A Population-Based Study in Qingdao, China

Objective

The outcomes of fetuses with isolated congenital heart disease (CHD) diagnosed prenatally have not been investigated in a population-based study in China. This population-based study aimed to evaluate the rate of voluntary termination of pregnancy after the prenatal diagnosis of isolated CHD in Qingdao, China.

Methods

This was a population-based retrospective study in which data were collected from all pregnant women in Qingdao (eastern China) from August 2018 to July 2020; fetal data, maternal data and data on pregnancy outcomes were extracted from medical records regarding prenatal diagnosis of CHD. The inclusion criteria were as follows: pregnant women or their husbands who had a household registration in Qingdao and who underwent regular prenatal screening in Qingdao. The exclusion criterion was the failure to sign an informed consent form. Counseling for all parents of fetuses with CHD was provided by a multidisciplinary team of experienced pediatric cardiologists, obstetricians, geneticists, etc. According to the type and severity of CHD, the pregnancy termination rate was analyzed.

Results

Among the 126,843 pregnant women, 1299 fetuses with a prenatal diagnosis of CHD were included in the study. Among the included fetuses, 1075 were diagnosed with isolated CHD, and the overall pregnancy termination rate was 22.8%. Termination rates varied according to the complexity of CHD (low complexity vs moderate complexity, P=0.000; low complexity vs high complexity, P=0.000; moderate complexity vs high complexity, P=0.000), with rates of 6.0% for low complexity, 54.2% for moderate complexity, and 99.1% for high complexity. The decision to terminate the pregnancy in cases of isolated CHD was unrelated to maternal age (P=0.091) but was related to gestational age (p=0.000).

Conclusion

In Qingdao, 99.1% of parents whose fetuses were diagnosed with isolated high-complexity CHD chose to voluntarily terminate the pregnancy. The pregnancy termination rate increased with increasing complexity of prenatally diagnosed CHD.

Fetal electrocardiography and artificial intelligence for prenatal detection of congenital heart disease

INTRODUCTION

This study aims to investigate non-invasive electrocardiography as a method for the detection of congenital heart disease (CHD) with the help of artificial intelligence.

MATERIAL AND METHODS

An artificial neural network was trained for the identification of CHD using non-invasively obtained fetal electrocardiograms. With the help of a Bayesian updating rule, multiple electrocardiographs were used to increase the algorithm's performance.

RESULTS

Using 122 measurements containing 65 healthy and 57 CHD cases, the accuracy, sensitivity, and specificity were found to be 71%, 63%, and 77%, respectively. The sensitivity was however 75% and 69% for CHD cases requiring an intervention in the neonatal period and first year of life, respectively. Furthermore, a positive effect of measurement length on the detection performance was observed, reaching optimal performance when using 14 electrocardiography segments (37.5 min) or more. A small negative trend between gestational age and accuracy was found.

CONCLUSIONS

The proposed method combining recent advances in obtaining non-invasive fetal electrocardiography with artificial intelligence for the automatic detection of CHD achieved a detection rate of 63% for all CHD and 75% for critical CHD. This feasibility study shows that detection rates of CHD might improve by using electrocardiography-based screening complementary to the standard ultrasound-based screening. More research is required to improve performance and determine the benefits to clinical practice.

E-Health: A Game Changer in Fetal and Neonatal Cardiology?

Technological advancements have greatly impacted the healthcare industry, including the integration of e-health in pediatric cardiology. The use of telemedicine, mobile health applications, and electronic health records have demonstrated a significant potential to improve patient outcomes, reduce healthcare costs, and enhance the quality of care. Telemedicine provides a useful tool for remote clinics, follow-up visits, and monitoring for infants with congenital heart disease, while mobile health applications enhance patient and parents' education, medication compliance, and in some instances, remote monitoring of vital signs. Despite the benefits of e-health, there are potential limitations and challenges, such as issues related to availability, cost-effectiveness, data privacy and security, and the potential ethical, legal, and social implications of e-health interventions. In this review, we aim to highlight the current application and perspectives of e-health in the field of fetal and neonatal cardiology, including expert parents' opinions.

Impact of Prenatal Diagnosis of Critical Congenital Heart Disease on Preoperative and Postoperative Outcomes

The objective of this study was to assess the relationship of prenatal diagnosis of critical congenital heart disease (CHD) to preoperative and postoperative patient findings. Retrospective analysis of neonates with critical CHD who underwent cardiothoracic surgery at one of four centers in North Carolina between 2008 and 2013. Surgical data collected by sites for submission to the Society of Thoracic Surgeons Congenital Heart Surgery Database (STS-CHSD) and the North Carolina CHD Lifespan Database were queried. There were 715 patients with STS records; 558 linked to the NC-CHD database. Patients with prenatal diagnosis had a lower incidence of preoperative risk factors, including need for mechanical ventilation and presence of shock. However, prenatally diagnosed patients had worse short-term outcomes, including higher operative mortality, higher incidence of select postoperative complications, and longer LOS. There was no difference in one-year mortality. Our findings are consistent with current literature which suggests that prenatal diagnosis of critical CHD is associated with a more optimized preoperative clinical status. However, we found that patients with prenatal diagnoses had less favorable postoperative outcomes. This needs to be investigated further, but may be secondary to patient-specific factors, such as CHD disease severity.

Cardiac problems in the fetus: a review for pediatric providers

PURPOSE OF REVIEW

The aim of this study was to provide pediatric providers with a review of the diagnosis and management of fetal cardiac disease in the current era.

RECENT FINDINGS

Prenatal detection of congenital heart disease (CHD) has improved but is still imperfect. In experienced hands, fetal echocardiography can detect severe CHD as early as the first trimester and a majority of more subtle conditions in the second and third trimesters. Beyond detection, a prenatal diagnosis allows for lesion-specific counseling for families as well as for development of a multidisciplinary perinatal management plan, which may involve in-utero treatment. Given the diversity of cardiac diagnoses and the rarity of some, collaborative multicenter fetal cardiac research has gained momentum in recent years.

SUMMARY

Accurate diagnosis of fetal cardiac disease allows for appropriate counseling, pregnancy and delivery planning, and optimization of immediate neonatal care. There is potential for improving fetal CHD detection rates. Fetal interventions are available for certain conditions, and fetal and pediatric cardiac centers have developed management plans specific to the expected postnatal physiology.

Impact of Prenatal and Postnatal Diagnosis on Parents: Psychosocial and Economic Aspects Related to Congenital Heart Defects in Children

Congenital heart defects (CHD) are defects detected both prenatally and after birth. They are the most common congenital defects. Despite advances in diagnosis and treatment, CHD remain an important cause of morbidity and mortality in newborns, which has a great impact on economic aspects. It is crucial to provide a holistic approach to the care of children with CHD, including regular cardiac check-ups, appropriate drug treatment, surgical or cardiac interventions as needed, rehabilitation, psychological support, and education for patients and their families. Parents experience a variety of psychological problems. This article summarizes the influence of CHD in the psychological and economic areas.

Milrinone for treatment of elevated lactate in the pre-operative newborn with hypoplastic left heart syndrome

BACKGROUND

There is a paucity of information reported regarding the use of milrinone in patients with hypoplastic left heart syndrome prior to the Norwood procedure. At our institution, milrinone is initiated in the pre-operative setting when over-circulation and elevated serum lactate levels develop. We aimed to review the responses associated with the administration of milrinone in the pre-operative hypoplastic left heart syndrome patient. Second, we compared patients who received high- versus low-dose milrinone prior to Norwood procedure.

METHODS

Single-centre retrospective study of patients diagnosed with hypoplastic left heart syndrome between January 2000 and December 2019 who underwent Norwood procedure. Patient characteristics and outcomes were compared.

RESULTS

During the study period, 375 patients were identified; 79 (21%) received milrinone prior to the Norwood procedure with median lactate 2.55 mmol/l, and SpO2 93%. Patients who received milrinone were older at the time of Norwood procedure (6 vs. 5 days) and were more likely to be intubated and sedated. In a subset analysis stratifying patients to low- versus high-dose milrinone, median lactate decreased from time of initiation (2.39 vs 2.75 to 1.6 vs 1.8 mmol/l) at 12 hours post-initiation, respectively. Repeated measures analysis showed a significant decrease in lactate levels by 4 hours following initiation of milrinone, that persisted over time, with no significant difference in mean arterial pressure.

CONCLUSIONS

The use of milrinone in the pre-operative over-circulated hypoplastic left heart syndrome patient is well tolerated, is associated with decreased lactate levels, and was not associated with significant hypotension or worsening of excess pulmonary blood flow.

The Role of the Neonatologist in Fetuses Diagnosed with Congenital Heart Disease

Prenatal diagnosis of congenital heart disease (CHD) can decrease preoperative morbidity and mortality. Delivery room planning can improve cardiac hemodynamics and time to critical catheter and surgical interventions. Care algorithms have defined lesion-specific level-of-care assignments and delivery room action plans that can facilitate team-based approaches to safe deliveries. Neonatologists play critical roles in the care of fetuses diagnosed with CHD, from the time of diagnosis through the postnatal intensive care unit (ICU) stays. Prenatally, neonatologists are members of the multidisciplinary counseling teams, with expertise to counsel expectant parents about what to expect during the ICU stay, which is especially valuable in CHD associated with extracardiac or genetic anomalies. Neonatologists' role in delivery planning includes identification of the optimal delivery location and allocation of appropriate personnel and resources. After delivery, postnatal care considerations include hemodynamic stability, optimization of end-organ function, genetics consultation, developmentally appropriate care practices to encourage caregiver bonding, and optimization of care to improve neurodevelopmental outcomes of neonates with CHD.

Fetal congenital heart diseases: Diagnosis by anatomical scans, echocardiography and genetic tests

Objective

To determine the distribution of major fetal congenital heart diseases (CHDs) diagnosed antenatally during routine second-trimester obstetric anatomical scans in an unselected population at a single tertiary centre and to characterise and stratify risk factors, genetic diagnosis and long-term health at 4 years old.

Method

A single-centre cohort study of all major fetal CHDs detected on routine obstetric fetal anatomical ultrasound scans between January 2014 and December 2017 was performed in an unselected population. Demographic details, fetal echocardiogram reports, genetic test results, delivery outcomes and postnatal progress were stratified by CHD subtype.

Results

Of 20,031 screened pregnancies, 109 pregnancies (0.53%) had major fetal CHDs. The most common subtypes were coarctation of aorta (17.4%), transposition of great arteries (16.5%), and tetralogy of Fallot and univentricular hearts (13.8% each). Of the 60.5% that underwent confirmatory genetic testing-mostly conventional karyotyping and testing for 22q11 microdeletion-about a quarter had abnormalities, of which 22q microdeletion was the most common. We had complete obstetric data in 85 pregnancies (78%), of which 76.5% progressed to live birth. Among these, 92.1% of postnatal echocardiograms concurred with antenatal ones. At 4 years old, 43.2% of offspring had no medical or developmental issues, 20.0% had mild medical or developmental issues, 21.5% had major medical or developmental issues, and 12.3% had deceased.

Conclusion

Fetal echocardiograms accurately diagnose CHDs. Future studies should evaluate the roles of chromosomal microarray and next-generation sequencing in diagnosing CHD.

Risk factors for mortality in patients with hypoplastic left heart syndrome after the Norwood procedure

OBJECTIVES

Several studies have reported mortality risk factors associated with hypoplastic left heart syndrome (HLHS). However, these data are ambiguous and mainly focused on the independent effects of these factors. We examined both the independent and the cumulative effects of preoperative risk factors for poor outcome in patients undergoing the Norwood procedure. Moreover, we studied the risk factors associated with prolonged initial hospital stays in these patients.

METHODS

We performed a retrospective national 18-year observational study of preoperative risk factors for 1 year, as well as total follow-up mortality or need for transplant in patients with HLHS (N = 99) born in Finland between 1 January 2004 and 31 December 2021.

RESULTS

Overall, one-year survival was 85.6%. In a multivariable analysis, having a major extracardiac anomaly and being small for gestational age were significant predictors of one-year mortality or the need for a transplant. Aortic atresia was a predictor of total follow-up mortality. An analysis of the cumulative effect indicated that the presence of 2 risk factors was associated with higher mortality.

CONCLUSIONS

HLHS remains the defect with the highest procedural risks for mortality in paediatric cardiac surgery. From a prognostic point of view, recognition of independent preoperative risk factors as well as the cumulative effect of risk factors for mortality is essential.The results of this study were presented orally at the 55th Annual Meeting of the Association for European Paediatric and Congenital Cardiology, Geneva, Switzerland, 28 May 2022.

Mapping parents' journey following prenatal diagnosis of CHD: a qualitative study

OBJECTIVE

To better understand parents' accounts of their prenatal and postnatal experience after prenatal diagnosis of CHD - particularly emotional processing and coping mechanisms - to identify strategies to improve support.

METHODS

This single-centre, longitudinal qualitative study included pregnant mothers and their support persons seen in Fetal Cardiology Clinic at Vanderbilt Children's Hospital from May through August 2019 for probable complex CHD. Twenty-seven individuals from 17 families participated in 62 phone interviews during pregnancy and postpartum: 27 conducted after the initial prenatal cardiology consultation, 15 after a follow-up prenatal visit, and 20 after birth. Applied thematic analysis approach was used to code and analyse transcribed interviews. Coding and codebook revisions occurred iteratively; intercoder reliability was >80%.

RESULTS

Patients included mothers (16 [59%]), fathers (8 [30%]), and other support persons (3 [11%]). Initial fetal diagnoses included a range of moderate to severe CHD. Prenatally, parents sought to maintain hope while understanding the diagnosis; planning for the future rather than focusing on day-to-day was more common if prognoses were better. Postnatally, with confirmation of prenatal diagnoses, parents' sense of control expanded, and they desired more active engagement in clinical decision making.

CONCLUSIONS

To enhance effective communication and support, understanding how parents conceptualise hope in relation to diagnosis and how that may evolve over time is critical. Expectant parents whose child has a significant risk of mortality may demonstrate hope by focusing on positivity. As prognostic uncertainty diminishes postpartum, the parental role on the team may shift, requiring clinicians to provide different support.

Use of artificial intelligence and deep learning in fetal ultrasound imaging

Deep learning is considered the leading artificial intelligence tool in image analysis in general. Deep-learning algorithms excel at image recognition, which makes them valuable in medical imaging. Obstetric ultrasound has become the gold standard imaging modality for detection and diagnosis of fetal malformations. However, ultrasound relies heavily on the operator's experience, making it unreliable in inexperienced hands. Several studies have proposed the use of deep-learning models as a tool to support sonographers, in an attempt to overcome these problems inherent to ultrasound. Deep learning has many clinical applications in the field of fetal imaging, including identification of normal and abnormal fetal anatomy and measurement of fetal biometry. In this Review, we provide a comprehensive explanation of the fundamentals of deep learning in fetal imaging, with particular focus on its clinical applicability. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Impact of interdisciplinary counselling for parental decision-making in cases of pregnancies with prenatally diagnosed CHD

INTRODUCTION

Parental counselling after antenatal diagnosis of a congenital heart defect requires a high degree of professional and emotional competence and ultimately a sense of responsibility on the part of the consulting physicians. However, little is known about parents` perceptions and evaluation of these consultations.

MATERIAL/METHODS

Survey on 425 women who received interdisciplinary counselling after antenatal diagnosis of a complex fetal congenital heart defect in a specialized prenatal outpatient clinic with an affiliated paediatric heart centre. Two questionnaires were used to retrospectively evaluate the parental perception and impact on counselling, particularly on decision-making. Questionnaires differed between women conceiving the child and women who terminated the pregnancy.

RESULTS

400 women continued, 25 women terminated the pregnancy after diagnosis and counselling. Good quality of life was reported for 68% of the children, 15% died postnatally in the further course. 95% rated the counselling as good or very good regardless of the child´s outcome. 73% described the counselling as highly important for their subsequent decision. The possibility of termination of pregnancy was discussed with 37% of the respondents, 22% of them found it outrageous or very distressing. Of all respondents, one woman would have made a different decision regarding continuation of the pregnancy in retrospect.

CONCLUSION

Retrospectively, parents rate prenatal counselling extremely positively, irrespective of the severity of the child´s heart defect. It can be assumed that the consistent joint interdisciplinary consultation and the high reputation of the cooperating heart centre have had an influence on the below-average rate of termination of pregnancy.

Hypoplastic Left Heart Syndrome: A Review

Hypoplastic left heart syndrome is a rare and poorly understood congenital disorder featuring a univentricular myocardium, invariably resulting in early childhood death if left untreated. The process to palliate this congenital cardiomyopathy is of high complexity and may include invasive interventions in the first week of life. The preferred treatment strategy involves a staged correction with 3 surgical procedures at different points in time. The Norwood procedure is usually performed within the first weeks of life and aims to increase systemic circulation and relieve pulmonary vascular pressure. This procedure is followed by the bidirectional Glenn and the Fontan procedures in later life, which offer to decrease stress in the ventricular chamber. The prognosis of children with this disease has greatly improved in the past decades; however, it is still largely driven by multiple modifiable and nonmodifiable variables. Novel and clever alternatives have been proposed to improve the survival and neurodevelopment of these patients, although they are not used as standard of care in all centers. The neurodevelopmental outcomes among these patients have received particular attention in the last decade in light to improve this very limiting associated comorbidity that compromises quality of life.

Tricuspid Valve Regurgitation in Hypoplastic Left Heart Syndrome: Current Insights and Future Perspectives

Hypoplastic Left Heart Syndrome (HLHS) is a congenital heart defect that requires a three-stage surgical palliation to create a single ventricle system in the right side of the heart. Of patients undergoing this cardiac palliation series, 25% will develop tricuspid regurgitation (TR), which is associated with an increased mortality risk. Valvular regurgitation in this population has been extensively studied to understand indicators and mechanisms of comorbidity. In this article, we review the current state of research on TR in HLHS, including identified valvular anomalies and geometric properties as the main reasons for the poor prognosis. After this review, we present some suggestions for future TR-related studies to answer the central question: What are the predictors of TR onset during the three palliation stages? These studies involve (i) the use of engineering-based metrics to evaluate valve leaflet strains and predict tissue material properties, (ii) perform multivariate analyses to identify TR predictors, and (iii) develop predictive models, particularly using longitudinally tracked patient cohorts to foretell patient-specific trajectories. Regarded together, these ongoing and future efforts will result in the development of innovative tools that can aid in surgical timing decisions, in prophylactic surgical valve repair, and in the refinement of current intervention techniques.

A computational study of aortic reconstruction in single ventricle patients

Patients with hypoplastic left heart syndrome (HLHS) are born with an underdeveloped left heart. They typically receive a sequence of surgeries that result in a single ventricle physiology called the Fontan circulation. While these patients usually survive into early adulthood, they are at risk for medical complications, partially due to their lower than normal cardiac output, which leads to insufficient cerebral and gut perfusion. While clinical imaging data can provide detailed insight into cardiovascular function within the imaged region, it is difficult to use these data for assessing deficiencies in the rest of the body and for deriving blood pressure dynamics. Data from patients used in this paper include three-dimensional, magnetic resonance angiograms (MRA), time-resolved phase contrast cardiac magnetic resonance images (4D-MRI) and sphygmomanometer blood pressure measurements. The 4D-MRI images provide detailed insight into velocity and flow in vessels within the imaged region, but they cannot predict flow in the rest of the body, nor do they provide values of blood pressure. To remedy these limitations, this study combines the MRA, 4D-MRI, and pressure data with 1D fluid dynamics models to predict hemodynamics in the major systemic arteries, including the cerebral and gut vasculature. A specific focus is placed on studying the impact of aortic reconstruction occurring during the first surgery that results in abnormal vessel morphology. To study these effects, we compare simulations for an HLHS patient with simulations for a matched control patient that has double outlet right ventricle (DORV) physiology with a native aorta. Our results show that the HLHS patient has hypertensive pressures in the brain as well as reduced flow to the gut. Wave intensity analysis suggests that the HLHS patient has irregular circulatory function during light upright exercise conditions and that predicted wall shear stresses are lower than normal, suggesting the HLHS patient may have hypertension.

Learning deep architectures for the interpretation of first-trimester fetal echocardiography (LIFE) - a study protocol for developing an automated intelligent decision support system for early fetal echocardiography

BACKGROUND

Congenital Heart Disease represents the most frequent fetal malformation. The lack of prenatal identification of congenital heart defects can have adverse consequences for the neonate, while a correct prenatal diagnosis of specific cardiac anomalies improves neonatal care neurologic and surgery outcomes. Sonographers perform prenatal diagnosis manually during the first or second-trimester scan, but the reported detection rates are low. This project's primary objective is to develop an Intelligent Decision Support System that uses two-dimensional video files of cardiac sweeps obtained during the standard first-trimester fetal echocardiography (FE) to signal the presence/absence of previously learned key features.

METHODS

The cross-sectional study will be divided into a training part of the machine learning approaches and the testing phase on previously unseen frames and eventually on actual video scans. Pregnant women in their 12-13 + 6 weeks of gestation admitted for routine first-trimester anomaly scan will be consecutively included in a two-year study, depending on the availability of the experienced sonographers in early fetal cardiac imaging involved in this research. The Data Science / IT department (DSIT) will process the key planes identified by the sonographers in the two- dimensional heart cine loop sweeps: four-chamber view, left and right ventricular outflow tracts, three vessels, and trachea view. The frames will be grouped into the classes representing the plane views, and then different state-of-the- art deep-learning (DL) pre-trained algorithms will be tested on the data set. The sonographers will validate all the intermediary findings at the frame level and the meaningfulness of the video labeling.

DISCUSSION

FE is feasible and efficient during the first trimester. Still, the continuous training process is impaired by the lack of specialists or their limited availability. Therefore, in our study design, the sonographer benefits from a second opinion provided by the developed software, which may be very helpful, especially if a more experienced colleague is unavailable. In addition, the software may be implemented on the ultrasound device so that the process could take place during the live examination.

TRIAL REGISTRATION

The study is registered under the name "Learning deep architectures for the Interpretation of Fetal Echocardiography (LIFE)", project number 408PED/2020, project code PN-III-P2-2.1-PED-2019.

TRIAL REGISTRATION

ClinicalTrials.gov , unique identifying number NCT05090306, date of registration 30.10.2020.

Impact of prenatal diagnosis on outcomes of surgical correction in newborns with transposition of the great arteries comparing to other critical congenital heart defects

A review of the literature data describing the influence of prenatal diagnosis of critical congenital heart defects on perioperative and long-term results is presented, with a focus on the features of prenatal detection of transposition of the great arteries. This heart defect is a convenient object of studying due to the relative anatomical homogeneity of the nosological form; the birth of patients, as a rule, at full term; the rarity of the combination of this pathology with multiple congenital malformations and chromosomal abnormalities that can potentially worsen the results of treatment; the similarity of the principles of preoperative management in this category of patients in different clinics; the performing of arterial switch surgery in a strictly defined time frame (usually during the first month of life); the relative similarity of surgical techniques used. The relevance of this study is to identify patterns that make it possible to improve existing protocols for the treatment of newborns with transposition of the great arteries and create new algorithms for interaction between gynecologists, neonatologists, resuscitators, and cardiac surgeons.

Care of the Fetus With Congenital Cardiovascular Disease: From Diagnosis to Delivery

BACKGROUND

The majority of congenital cardiovascular disease including structural cardiac defects, abnormalities in cardiac function, and rhythm disturbances can be identified prenatally using screening obstetrical ultrasound with referral for fetal echocardiogram when indicated.

METHODS

Diagnosis of congenital heart disease in the fetus should prompt assessment for extracardiac abnormalities and associated genetic abnormalities once maternal consent is obtained. Pediatric cardiologists, in conjunction with maternal-fetal medicine, neonatology, and cardiothoracic surgery subspecialists, should counsel families about the details of the congenital heart defect as well as prenatal and postnatal management.

RESULTS

Prenatal diagnosis often leads to increased maternal depression and anxiety; however, it decreases morbidity and mortality for many congenital heart defects by allowing clinicians the opportunity to optimize prenatal care and plan delivery based on the specific lesion. Changes in prenatal care can include more frequent assessments through the remainder of the pregnancy, maternal medication administration, or, in selected cases, in utero cardiac catheter intervention or surgical procedures to optimize postnatal outcomes. Delivery planning may include changing the location, timing or mode of delivery to ensure that the neonate is delivered in the most appropriate hospital setting with the required level of hospital staff for immediate postnatal stabilization.

CONCLUSIONS

Based on the specific congenital heart defect, prenatal echocardiogram assessment in late gestation can often aid in predicting the severity of postnatal instability and guide the medical or interventional level of care needed for immediate postnatal intervention to optimize the transition to postnatal circulation.

Impact of maternal social vulnerability and timing of prenatal care on outcome of prenatally detected congenital heart disease

OBJECTIVES

Early prenatal detection of congenital heart disease (CHD) allows mothers to plan for their pregnancy and delivery; however, the effect of certain sociodemographic and fetal factors on prenatal care has not been investigated thoroughly. This study evaluated the impact of maternal and fetal characteristics on the timing of prenatal diagnosis of CHD and fetal and postnatal outcomes.

METHODS

This retrospective multicenter cohort study included women with a fetal echocardiographic diagnosis of CHD between 2010 and 2019. Women were grouped into quartiles of social vulnerability (quartiles 1-4; low-high) using the 2014 social vulnerability index (SVI) provided by the Centers for Disease Control and Prevention. A fetal disease severity score (range, 1-7) was calculated based on a combination of CHD severity (mild = 1; moderate = 2; severe, two ventricles = 3; severe, single ventricle = 4 points) and prenatally diagnosed genetic abnormality, non-cardiac abnormality and fetal hydrops (1 point each). Late diagnosis was defined as a fetal echocardiographic diagnosis of CHD after 24 weeks' gestation. Univariate and multivariable regression analyses were used to identify factors associated with late diagnosis, termination of pregnancy (TOP), postnatal death, prenatal-postnatal discordance in CHD diagnosis and severity and, for liveborn infants, to identify which prenatal variables were associated with postnatal death or heart transplant.

RESULTS

Among 441 pregnancies included, 94 (21%) had a late diagnosis of CHD. Late diagnosis was more common in the most socially vulnerable quartile, 38% of women in this group having diagnosis > 24 weeks, compared with 14-18% in the other three quartile groups. Late diagnosis was also associated with Catholic or other Christian religion vs non-denominational or other religion and with a lower fetal disease severity score. There were 93 (21%) TOP and 26 (6%) in-utero fetal demises. Factors associated with TOP included early diagnosis and greater fetal disease severity. Compared with the other quartiles, the most socially vulnerable quartile had a higher incidence of in-utero fetal demise and a lower incidence of TOP. Among the 322 liveborn infants, 49 (15%) died or underwent heart transplant during the follow-up period (range, 0-16 months). Factors associated with postnatal death or heart transplant included longer delay between obstetric ultrasound examination at which CHD was first suspected and fetal echocardiogram at which CHD was confirmed and greater fetal disease severity.

CONCLUSIONS

High social vulnerability, Catholic or other Christian religion and low fetal disease severity are associated with late prenatal CHD diagnosis. Delays in CHD diagnosis are associated with fewer TOPs and worse postnatal outcome. Therefore, efforts to expedite fetal echocardiography following abnormal obstetric screening, particularly for at-risk women (e.g. those with high SVI), have the potential to impact pregnancy and postnatal outcome among the prenatally diagnosed CHD population. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Health Care Disparities in Congenital Cardiology: Considerations Through the Lens of an Interventional Cardiologist

When resources in a society are dispersed unevenly, generally through allocation standards, distinct patterns emerge along lines of socially defined categories of people. Power, religion, kinship, prestige, race, ethnicity, gender, age, sexual orientation, and class all play a role in determining who has access to social goods in society. In most cases, social inequality refers to a lack of equality of outcome, but it can also refer to a lack of equality of access to opportunity. Unfortunately, health care is not immune to these social disparities and/or inequalities. These health care disparities in interventional cardiology were recently brought to the forefront by the Society for Cardiovascular Angiography and Interventions (SCAI) as a major focus of 2020-2021. In a recent publication, unique factors leading to disparities were reported to exist among the subsections of interventional cardiology. The congenital heart disease council of SCAI created a task force to further investigate the unique challenges and disparities impacting the practice of congenital heart disease and pediatric cardiology.

Impact of prenatally diagnosed congenital heart defects on outcomes and management

Fetal echocardiogram aids in prenatal identification of neonates at high risk for congenital heart defects (CHD). Prenatal detection rates for CHD have increased with improved ultrasound technology, the use of the early fetal echocardiography, and standardization of the performance of the fetal echocardiogram. Accurate prenatal detection of CHD, particularly complex CHD, is an important contributor to improved survival rates for patients with CHD. Early detection allows for families to choose whether or not to continue with pregnancy, referral to pediatric cardiology specialists for patient education, and delivery planning. Better psychosocial supports are needed for families with CHD.

Impact of perinatal management on neurodevelopmental outcomes in congenital heart disease

With advancements in cardiopulmonary bypass technique and perioperative care, there has been a progressive decline in mortality associated with neonatal surgical correction of congenital heart disease (CHD). Thus, there is now increased focus on improving neurodevelopmental outcomes in CHD survivors. While the cause of these neurodevelopmental impairments is multifactorial, there is increasing evidence that structural and functional cerebral abnormalities are present before cardiac corrective repair. This suggests that in addition to patient specific risk factors, underlying cardiac physiology and clinical hemodynamics are critical to brain health and development. Prenatal diagnosis of CHD and subsequent optimization of perinatal care may therefore be important modifiable factors for long-term neurodevelopmental outcome. This article reviews the impact that prenatal diagnosis of CHD has on perinatal care and the preoperative clinical status of a neonate, as well as the potential influence this may have on lessening the degree of cerebral injury and long-term neurodevelopmental impairments.

Outcomes Following Norwood Procedures: Analysis of a "Small Volume" Program

BACKGROUND

Institutional survival following Norwood procedures is traditionally correlated with a center's surgical volume. Multiple single and multi-institutional studies conducted at large-volume centers have recently demonstrated improved survival following Norwood procedures. We report both short- and long-term outcomes at a single, small-volume institution and comment on factors potentially influencing outcomes at this institution.

METHODS

All patients undergoing Norwood procedures from January 1, 2005, to January 1, 2020, at our institution were included in this study. Kaplan-Meier survival and Cox regression risk factor analyses were performed in addition to first interstage risk factor scoring to compare observed versus expected survival.

RESULTS

The cohort included 113 patients. Kaplan-Meier freedom from death or transplant was 88%, 80%, and 76% at 1, 5, and 10 years, respectively. Freedom from death following hospital discharge after Norwood procedures was 94%, 87%, and 83% at 1, 5, and 10 years, respectively. The presence of genetic syndromes was a significant risk factor for mortality. First interstage observed-to-expected mortality following discharge was 0.57 (P = .04). Postoperative length of stay was comparable to that reported for the period 2015 to 2018 in the Society of Thoracic Surgeons Database.

CONCLUSIONS

Survival outcomes at this single, small-volume institution were similar to those reported by large-volume centers and multi-institutional collaborative studies. These results may be related to structural and functional features that have been demonstrated to influence outcomes in other studies. These factors are achievable by small-volume programs with sufficient resource allocation.

Ten-Year Survival of Children With Congenital Anomalies: A European Cohort Study

OBJECTIVES

To investigate the survival up to age 10 for children born alive with a major congenital anomaly (CA).

METHODS

This population-based linked cohort study (EUROlinkCAT) linked data on live births from 2005 to 2014 from 13 European CA registries with mortality data. Pooled Kaplan-Meier survival estimates up to age 10 were calculated for these children (77 054 children with isolated structural anomalies and 4011 children with Down syndrome).

RESULTS

The highest mortality of children with isolated structural CAs was within infancy, with survival of 97.3% (95% confidence interval [CI]: 96.6%-98.1%) and 96.9% (95% CI: 96.0%-97.7%) at age 1 and 10, respectively. The 10-year survival exceeded 90% for the majority of specific CAs (27 of 32), with considerable variations between CAs of different severity. Survival of children with a specific isolated anomaly was higher than in all children with the same anomaly when those with associated anomalies were included. For children with Down syndrome, the 10-year survival was significantly higher for those without associated cardiac or digestive system anomalies (97.6%; 95% CI: 96.5%-98.7%) compared with children with Down syndrome associated with a cardiac anomaly (92.3%; 95% CI: 89.4%-95.3%), digestive system anomaly (92.8%; 95% CI: 87.7%-98.2%), or both (88.6%; 95% CI: 83.2%-94.3%).

CONCLUSIONS

Ten-year survival of children born with congenital anomalies in Western Europe from 2005 to 2014 was relatively high. Reliable information on long-term survival of children born with specific CAs is of major importance for parents of these children and for the health care professionals involved in their care.

Pulse oximetry as a screening test for congenital heart disease in newborns

BACKGROUND

Congenital heart disease (CHD) can be fatal if not diagnosed at the early phases of life. Available diagnostic tools for screening critical CHD are mostly invasive and costly.

AIM

The current study aimed to validate the use of pulse oximetry as a non-invasive and cost-effective tool to screen critical CHD.

MATERIAL AND METHODS

This observational study was conducted in a tertiary care teaching institute. A total of 1,082 asymptomatic term neonates (aged 2-24 h) were screened by pulse oximetry and clinical examination for the detection of critical CHD. Neonates with abnormal pulse oximetry and clinical examination findings were subjected to confirm the presence of CHD.

RESULTS

The incidence of critical CHD in asymptomatic newborns was found to be 0.5% (5/1000 live births). Echocardiography confirmed five cases of critical CHD. Pulse oximetry alone could detect 80%, and clinical examination alone could detect 60% of the CHD cases, while combining both methods gave 100% detection rate.

CONCLUSION

Pulse oximetry is a simple, cost-effective, and reliable tool to diagnose critical CHD. In majority of the newborns who have not undergone fetal echocardiography, the underlying critical CHD can be missed, and in such cases, pulse oximetry screening offers an effective way to minimise the undiagnosed discharge risk.

Importance of frame rate for the measurement of strain and synchrony in fetuses using speckle tracking echocardiography

OBJECTIVES

To assess the influence of frame rate settings on longitudinal strain (LS) and mechanical synchrony (SYN) values in Speckle Tracking Echocardiography (STE) of healthy fetuses.

METHODS

In this prospective study, we collected transversal or apical four-chamber-views of 121 healthy fetuses between 20 and 38 weeks of gestation using three different frame rate (FR) settings (≥ 110, 100 ± 10, 60 ± 10 frames per second). We assessed the segmental and the global LS of both ventricles (2C) and of the left ventricle (LV) offline with QLab 10.8 (Philips Medical Systems, Andover, MA, USA). Inter- and intraventricular SYN were calculated as time difference in peak myocardial strain between the mid-segments of left and right ventricle (interventricular, 2C_Syn) and lateral wall and septum of the left ventricle (intraventricular, LV_Syn), respectively.

RESULTS

In 84.3% STE was feasible at all three FR settings. The LS increased in both views at higher FRs to a statistically noticeable extent. SYN measurements and the absolute differences at patient level between the FR settings showed no statistically noticeable alterations.

CONCLUSIONS

STE is feasible at low and high FR settings. SYN emerges to be a robust parameter for fetal STE as it is less affected by the FR. High FRs enable high temporal resolutions and thus an accurate examination of fetal hearts. Future research for the technical implementation of tailored fetal STE software is necessary for reliable clinical application.

Evaluation of the Association between Fetal Cardiac Disorders with Choroid Plexus Cyst in Fetuses

Choroid plexus cysts (CPCs) are often transient and benign findings observed in pregnancy screenings. This study aimed to examine the association between the frequency of congenital heart diseases and the detection of CPCs. In this prospective case-control study, pregnant mothers with no predisposing risk factors for the development of fetal cardiac abnormalities were eligible for entry. Based on the presence or absence of CPCs on ultrasound, the enrolled fetuses were divided into two groups. All patients (n = 100) underwent two-dimensional and color Doppler echocardiography to identify potential cardiac anomalies. Overall, CPCs were detected in 53 enrolled fetuses, and the remainder were enrolled as controls (n = 47). Pathological findings, such as echogenic intracardiac focus (EIF), ductal spasm, atrial septal defect (ASD), pericardial effusion, cardiomyopathy, and congenital heart disease were found in neither group. In the CPC group, two mild and six trivial cases of tricuspid regurgitation (TR) were detected. In the controls, five cases of trivial TR were identified. In conclusion, the presence of CPCs was not associated with significant functional or structural fetal cardiac abnormalities, which may be due to altered developmental mechanisms.

Birth Location in Infants with Prenatally Diagnosed Hypoplastic Left Heart Syndrome

There are conflicting data on how delivery location impacts outcomes in neonates with ductal-dependent heart disease. Our goal was to evaluate the impact of delivery location on hospital length of stay and survival in infants with prenatally diagnosed hypoplastic left heart syndrome (HLHS) after stage 1 palliation (S1P). A multicenter cohort study was performed utilizing the National Pediatric Cardiology Quality Improvement Collaborative dataset for infants with prenatally diagnosed HLHS who underwent S1P from August 2016 to December 2018. Univariate comparisons of demographics, clinical, and outcome data were made and multivariable logistic regression was performed between groups stratified by distance from surgical center. A total of 790 patients from 33 centers were analyzed: 85% were born < 5 miles from the surgical center with 72% of those (486/673) born at the surgical center. Infants born < 5 miles from the surgical center were significantly (p < 0.05) more likely to be male, white, full term, have no non-cardiac anomaly, and have commercial health insurance; they were significantly more likely to breastfeed pre-operatively, and less likely to have pre-operative cardiac catheterizations, pre-operative mechanical ventilation, or delayed surgery. There was no significant difference between groups in hospital length of stay, 30-day survival, or survival to hospital discharge. In this multicenter dataset, hospital length of stay and survival after S1P did not differ based on distance from birth location to surgical center. However, neonates born < 5 miles from the surgical center had lower rates of potentially modifiable pre-operative risk factors including mechanical ventilation and delays to surgery.

Parents' Perspectives on Counseling for Fetal Heart Disease: What Matters Most?

After diagnosis of congenital heart disease (CHD) in the fetus, effective counseling is considered mandatory. We sought to investigate which factors, including parental social variables, significantly affect counseling outcome. A total of n = 226 parents were recruited prospectively from four national tertiary medical care centers. A validated questionnaire was used to measure counseling success and the effects of modifiers. Multiple linear regression was used to assess the data. Parental perception of interpersonal support by the physician (β = 0.616 ***, p = 0.000), counseling in easy-to-understand terms (β = 0.249 ***, p = 0.000), and a short period of time between suspicion of fetal CHD, seeing a specialist and subsequent counseling (β = 0.135 **, p = 0.006) significantly improve “overall counseling success”. Additional modifiers (e.g., parental native language and age) influence certain subdimensions of counseling such as “trust in medical staff” (language effect: β = 0.131 *, p = 0.011) or “perceived situational control” (age effect: β = 0.166 *, p = 0.010). This study identifies independent factors that significantly affect counseling outcome overall and its subdimensions. In combination with existing recommendations our findings may contribute to more effective parental counseling. We further conclude that implementing communication skills training for specialists should be considered essential.

Geographic Distribution of Congenital Heart Disease: A Single Surgical Center Experience

OBJECTIVE

To determine presence of spatial clustering or dispersion of pre and postnatally detected hypoplastic left heart syndrome (HLHS) and d-transposition of the great arteries (TGA) cases.

STUDY DESIGN

This retrospective study examined all patients with a prenatal or postnatal diagnosis of HLHS or TGA who had an initial visit or hospitalization at our tertiary care center over a 5-year period from 2012 to 2016 (n = 105). Using geographic information systems software, the nearest neighbor ratio (NNR) tool was used to determine whether statistically significant clustering or dispersion occurred.

RESULTS

Geographic clustering was observed among prenatally diagnosed pooled cases of HLHS and TGA and all total cases (NNR = 0.73 and 0.66, respectively), but not postnatally detected cases (NNR = 1.08). Notably, there was significant dispersion of postnatally detected TGA cases (NNR = 1.22) There was no pattern for prenatally detected TGA or HLHS when analyzed individually.

CONCLUSIONS

The spatial distribution of HLHS and TGA is not random; these conditions occur in geographic clusters. Clustering of all patients in the study population and dispersion of postnatal diagnosis of TGA represent opportunities for improved delivery of fetal cardiac care.

Fetal Diagnosis is Associated with Improved Perioperative Condition of Neonates Requiring Surgical Intervention for Coarctation

To define the relative importance of fetal diagnosis and comorbidities in severity of preoperative compromise, outcomes and hospitalization in neonatal coarctation of the aorta (CoA). Retrospective comparison of preoperative condition and postoperative course of neonates prenatally (PreDx n = 48) or postnatally diagnosed (PostDx n = 67) with CoA. Congenital and non-congenital comorbidities were adjusted for. Postnatal diagnosis was associated with preoperative mortality (n = 2), and severe acidosis (lactate > 5 mM or pH < 7.20) on multivariate analysis (OR 4.2 (1.3-14.4, p = 0.02), with extracardiac congenital anomalies also a risk factor (OR 3.2 (1.03-10, p = 0.044). Median age at operation was delayed in the PostDx group (PreDx 6.5 days (IQR 4-9) vs PostDx 10 days (IQR 6-17)). Only comorbid left heart disease and extracardiac congenital anomalies were associated with prolonged total length of hospital stay. Prenatal diagnosis is the major adjustable risk factor affecting preoperative condition in critical CoA but does not reduce length of stay.