Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach

Neurodevelopment in patients with repaired tetralogy of Fallot

Neurodevelopmental sequelae are prevalent and debilitating for patients with congenital heart defects. Patients born with tetralogy of Fallot (TOF) are susceptible for abnormal neurodevelopment as they have several risk factors surrounding the perinatal and perioperative period. Some risk factors have been well described in other forms of congenital heart defects, including transposition of the great arteries and single ventricle heart disease, but they have been less studied in the growing population of survivors of TOF surgery, particularly in infancy and childhood. Adolescents with TOF, even without a genetic syndrome, exhibit neuro-cognitive deficits in executive function, visual-spatial skills, memory, attention, academic achievement, social cognition, and problem-solving, to mention a few. They also have greater prevalence of anxiety disorder, disruptive behavior and attention-deficit hyperactivity disorder. These deficits impact their academic performance, social adjustment, and quality of life, thus resulting in significant stress for patients and their families. Further, they can impact their social adjustment, employment and career development as an adult. Infants and younger children can also have significant deficits in gross and fine motor skills, cognitive deficits and abnormal receptive language. Many of the risk factors associated with abnormal neurodevelopment in these patients are not readily modifiable. Therefore, patients should be referred for evaluation and early intervention to help maximize their neurodevelopment and improve overall outcomes. More study is needed to identify potentially modifiable risk factors and/or mediators of neurodevelopment, such as environmental and socio-economic factors.

Tetralogy of Fallot: variants of MYH6 gene promoter and cellular functional analyses

BACKGROUND

Tetralogy of Fallot (TOF) is a common form of congenital heart disease. The MYH6 gene has important effects on cardiovascular growth and development.

METHODS

In 608 subjects, including 315 TOF patients, we investigated the MYH6 gene promoter variants and verified the effect on gene expression by using cellular functional experiments with three cell lines (HEK-293, HL-1, and H9C2 cells) and bioinformatics analysis.

RESULTS

In the MYH6 gene promoter, 12 variants were identified from 608 subjects. Five variants were found only in patients with TOF and two of them (g.3384G>T and g.4518T>C) were novel. Electrophoretic mobility shift assay with three cell lines (HEK-293, HL-1, and H9C2) showed significant changes in the transcription factors bound by the promoter variants compared to the wild-type. Dual luciferase reporter showed that four of the five variants reduced the transcriptional activity of the MYH6 gene promoter (p < 0.05).

CONCLUSIONS

This study is the first to test the cellular function of variants in the promoter region of the MYH6 gene in patients with TOF, which provides new insights into the genetic basis of TOF and provides a basis for further study of the mechanism of TOF formation.

IMPACT

DNA from 608 human subjects was sequenced for MYH6 gene promoter region variants with five variants found only in TOF patients and two were novel. EMSA and dual luciferase reporter experiments in three cell lines found these variants pathological. Prediction by JASPAR database indicated that these variants alter the transcription factor binding sites. The study, for the first time, confirmed that there are variants at the MYH6 gene promoter region and these variants alter the cellular function. The variants found in this study suggest the possible pathological role in the formation of TOF.

The Lifelong Impact of Artificial Intelligence and Clinical Prediction Models on Patients With Tetralogy of Fallot

Medical advancements in the diagnosis, surgical techniques, perioperative care, and continued care throughout childhood have transformed the outlook for individuals with tetralogy of Fallot (TOF), improving survival and shifting the perspective towards lifelong care. However, with a growing population of survivors, longstanding challenges have been accentuated, and new challenges have surfaced, necessitating a re-evaluation of TOF care. Availability of prenatal diagnostics, insufficient information from traditional imaging techniques, previously unforeseen medical complications, and debates surrounding optimal timing and indications for reintervention are among the emerging issues. To address these challenges, the integration of artificial intelligence and machine learning holds great promise as they have the potential to revolutionize patient management and positively impact lifelong outcomes for individuals with TOF. Innovative applications of artificial intelligence and machine learning have spanned across multiple domains of TOF care, including screening and diagnosis, automated image processing and interpretation, clinical risk stratification, and planning and performing cardiac interventions. By embracing these advancements and incorporating them into routine clinical practice, personalized medicine could be delivered, leading to the best possible outcomes for patients. In this review, we provide an overview of these evolving applications and emphasize the challenges, limitations, and future potential for integrating them into clinical care.

Biomarkers, Socioeconomic Factors, and Right Ventricular Function After Surgical Repair for Tetralogy of Fallot

Right ventricular (RV) dysfunction early after tetralogy of Fallot (TOF) increases post-operative morbidity. We investigated associations of circulating biomarkers and socioeconomic factors with early post-operative RV systolic function. Single-center prospective cohort study of infants undergoing TOF repair. Six serologic biomarkers of myocardial fibrosis and wall stress collected at the time of surgery were measured with immunoassay. Geocoding was performed for socioeconomic factors. Multivariate adaptive regression splines (MARS) models identified factors associated with RV function parameters: fractional area change (FAC), global longitudinal strain and strain rate, and free wall strain and strain rate. Seventy-one patients aged 3.5 months (IQR 2.4, 5.2) were included. Galectin-3 was the highest ranked predictor for FAC, global longitudinal strain, and free wall strain, and procollagen type-I carboxy-terminal propeptide (PICP) was the highest ranked predictor for global longitudinal strain rate and free wall strain rate. Several neighborhood characteristics were also highly ranked. Models adjusted R² ranged from 0.71 to 0.85 (FAC, global longitudinal strain/strain rate), and 0.55-0.57 (RV free wall strain/strain rate). A combination of serologic biomarkers, socioeconomic, and clinical variables explain a significant proportion of the variability in RV function after TOF repair. These factors may inform pre-operative risk-stratification for these patients.

Novel cfDNA Methylation Biomarkers Reveal Delayed Cardiac Cell Death after Open-heart Surgery

The use of cardiopulmonary bypass (CPB) is thought to cause delayed cardiac damage. DNA methylation-based liquid biopsies are novel biomarkers for monitoring acute cardiac cell death. We assessed cell-free DNA molecules as markers for cardiac damage after open-heart surgery. Novel cardiomyocyte-specific DNA methylation markers were applied to measure cardiac cfDNA in the plasma of 42 infants who underwent open-heart surgery. Cardiac cfDNA was elevated following surgery, reflecting direct surgery-related tissue damage, and declined thereafter in most patients. The concentration of cardiac cfDNA post-surgery correlated with the duration of CPB and aortic cross clamping. Strikingly, cardiac cfDNA at 6 h predicted duration of mechanical ventilation and maximal vasoactive-inotropic score better than did maximal troponin levels. Cardiac cfDNA reveals heart damage associated with CPB, and can be used to monitor cardiac cell death, to predict clinical outcome of surgery and to assess performance of cardioprotective interventions.

Effect of comprehensive nursing intervention for congenital heart disease in children: A meta-analysis

OBJECTIVES

This meta-analysis aimed to assess the impact of nursing interventions (e.g., educational and empathic interviewing, motor exercise, therapeutic play interventions) on the perioperative outcome of children with congenital heart disease (CHD).

METHODS

We searched PubMed, Embase, Web of Science, Scopus, Cochrane, EBSCO, The Chinese National Knowledge Infrastructure, Wan Fang Data and the VIP Chinese Journal Service platform from the date of database creation to August 2021. Our study adhered to the recommendations of the Cochrane Handbook and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. RevMan 5.4 and Stata 16.0 were used to complete the meta-analysis.

RESULTS

This meta-analysis showed that comprehensive nursing intervention reduced both the length of hospital stay (weighted mean difference [WMD] = -1.982, 95%CI [-2.329, -1.634], P < .001) and the related risk of post-operative complications [OR = 0.345, 95%CI (0.225, 0.528), P < .001]. In addition, nursing intervention increased parental satisfaction with the care provided [OR = 0.308, 95%CI (1.923, 6.863), P < .001]. Nursing interventions have also had a positive impact in reducing preoperative anxiety [WMD = -6.721, 95% CI (-7.194, -6.249), P < .001] and postoperative pain [WMD = -7.103, 95% CI (-7.103, -7.663), P < .001] in children.

CONCLUSIONS

This meta-analysis confirms the beneficial effects of comprehensive nursing interventions in terms of reduced complication rates and shorter hospital stays. The effectiveness of comprehensive nursing in reducing anxiety and pain levels was also demonstrated. The findings support the implementation of comprehensive care interventions in the perioperative period for children with CHD to improve clinical outcomes.

The horizon of pediatric cardiac critical care

Pediatric Cardiac Critical Care (PCCC) is a challenging discipline where decisions require a high degree of preparation and clinical expertise. In the modern era, outcomes of neonates and children with congenital heart defects have dramatically improved, largely by transformative technologies and an expanding collection of pharmacotherapies. Exponential advances in science and technology are occurring at a breathtaking rate, and applying these advances to the PCCC patient is essential to further advancing the science and practice of the field. In this article, we identified and elaborate on seven key elements within the PCCC that will pave the way for the future.