A primer on artificial intelligence for the paediatric cardiologist.

The combination of pediatric cardiology being both a perceptual and a cognitive subspecialty demands a complex decision-making model which makes artificial intelligence a particularly attractive technology with great potential. The prototypical artificial intelligence system would autonomously impute patient data into a collaborative database that stores, syncs, interprets and ultimately classifies the patient's profile to specific disease phenotypes to compare against a large aggregate of shared peer health data and outcomes, the current medical body of literature and ongoing trials to offer morbidity and mortality prediction, drug therapy options targeted to each patient's genetic profile, tailored surgical plans and recommendations for timing of sequential imaging. The focus of this review paper is to offer a primer on artificial intelligence and paediatric cardiology by briefly discussing the history of artificial intelligence in medicine, modern and future applications in adult and paediatric cardiology across selected concentrations, and current barriers to implementation of these technologies.

Echocardiographic MRI: an innovative fusion of functional and anatomic assessment strategy for CHD.

We present a pilot case using an innovative fusion of echocardiogram and MRI achieved with a MATLAB-based imaging programme to explore the feasibility of this imaging strategy in the functional and anatomic assessment of a patient with repaired tetralogy of Fallot requiring pulmonary valve intervention. Echocardiogram and MRI neutralises the disadvantages and limitations of each individual imaging modality and yields important anatomic and haemodynamic information crucial to the treatment decision-making process. Future image fusion strategies can apply to three-dimensional images and image-directed therapy for CHD.

Report of the National Heart, Lung, and Blood Institute Working Group: An Integrated Network for Congenital Heart Disease Research.

The National Heart, Lung, and Blood Institute convened a working group in January 2015 to explore issues related to an integrated data network for congenital heart disease research. The overall goal was to develop a common vision for how the rapidly increasing volumes of data captured across numerous sources can be managed, integrated, and analyzed to improve care and outcomes. This report summarizes the current landscape of congenital heart disease data, data integration methodologies used across other fields, key considerations for data integration models in congenital heart disease, and the short- and long-term vision and recommendations made by the working group.

Rapidly progressive heart failure requiring transplantation in muscular dystrophy: a need for frequent screening.

Fukuyama congenital muscular dystrophy weakens both skeletal and cardiac muscles, but the rate of cardiomyopathic progression can accelerate faster than that of skeletal muscles. A 14-year-old boy with Fukuyama congenital muscular dystrophy presented with mild skeletal myopathy but severe cardiomyopathy requiring heart transplantation within 1 year of declining heart function. These patients need frequent screening regardless of musculoskeletal symptoms.

Association of Freestanding Children's Hospitals With Outcomes in Children With Critical Illness.

OBJECTIVES: Little is known about the relationship between freestanding children's hospitals and outcomes in children with critical illness. The purpose of this study was to evaluate the association of freestanding children's hospitals with outcomes in children with critical illness. DESIGN: Propensity score matching was performed to adjust for potential confounding variables between patients cared for in freestanding or nonfreestanding children's hospitals. We tested the sensitivity of our findings by repeating the primary analyses using inverse probability of treatment weighting method and regression adjustment using the propensity score. SETTING: Retrospective study from an existing national database, Virtual PICU Systems (LLC) database. PATIENTS: Patients less than 18 years old admitted to one of the participating PICUs in the Virtual PICU Systems, LLC database were included (2009-2014). INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: A total of 538,967 patients from 140 centers were included. Of these, 323,319 patients were treated in 60 freestanding hospitals. In contrast, 215,648 patients were cared for in 80 nonfreestanding hospitals. By propensity matching, 134,656 patients were matched 1:1 in the two groups (67,328 in each group). Prior to matching, patients in the freestanding hospitals were younger, had greater comorbidities, had higher severity of illness scores, had higher incidence of cardiac arrest, had higher resource utilization, and had higher proportion of patients undergoing complex procedures such as cardiac surgery. Before matching, the outcomes including mortality were worse among the patients cared for in the freestanding hospitals (freestanding vs nonfreestanding, 2.5% vs 2.3%; p < 0.001). After matching, the majority of the study outcomes were better in freestanding hospitals (freestanding vs nonfreestanding, mortality: 2.1% vs 2.8%, p < 0.001; standardized mortality ratio: 0.77 [0.73-0.82] vs 0.99 [0.87-0.96], p < 0.001; reintubation: 3.4% vs 3.8%, p < 0.001; good neurologic outcome: 97.7% vs 97.1%, p = 0.001). CONCLUSIONS: In this large observational study, we demonstrated that ICU care provided in freestanding children's hospitals is associated with improved risk-adjusted survival chances compared to nonfreestanding children's hospitals. However, the clinical significance of this change in mortality should be interpreted with caution. It is also possible that the hospital structure may be a surrogate of other factors that may bias the results.

Birth Tourism and Neonatal Intensive Care: A Children's Hospital Experience.

Objective The aim of this article is to examine characteristics of birth tourism (BT) neonates admitted to a neonatal intensive care unit (NICU). Methods This was a retrospective review over 3 years; BT cases were identified, and relevant perinatal, medical, social, and financial data were collected and compared with 100 randomly selected non-birth tourism neonates. Results A total of 46 BT neonates were identified. They were more likely to be born to older women (34 vs. 29 years; p < 0.001), via cesarean delivery (72 vs. 48%; p = 0.007), and at a referral facility (80 vs. 32%; p < 0.001). BT group had longer hospital stay (15 vs. 7 days; p = 0.02), more surgical intervention (50 vs. 21%; p < 0.001), and higher hospital charges (median $287,501 vs. $103,105; p = 0.003). One-third of BT neonates were enrolled in public health insurance program and four BT neonates (10%) were placed for adoption. Conclusion Families of BT neonates admitted to the NICU face significant challenges. Larger studies are needed to better define impacts on families, health care system, and society.

Primary prevention of sudden cardiac death of the young athlete: the controversy about the screening electrocardiogram and its innovative artificial intelligence solution.

The preparticipation screening for athlete participation in sports typically entails a comprehensive medical and family history and a complete physical examination. A 12-lead electrocardiogram (ECG) can increase the likelihood of detecting cardiac diagnoses such as hypertrophic cardiomyopathy, but this diagnostic test as part of the screening process has engendered considerable controversy. The pro position is supported by argument that international screening protocols support its use, positive diagnosis has multiple benefits, history and physical examination are inadequate, primary prevention is essential, and the cost effectiveness is justified. Although the aforementioned myriad of justifications for routine ECG screening of young athletes can be persuasive, several valid contentions oppose supporting such a policy, namely, that the sudden death incidence is very (too) low, the ECG screening will be too costly, the false-positive rate is too high, resources will be allocated away from other diseases, and manpower is insufficient for its execution. Clinicians, including pediatric cardiologists, have an understandable proclivity for avoiding this prodigious national endeavor. The controversy, however, should not be focused on whether an inexpensive, noninvasive test such as an ECG should be mandated but should instead be directed at just how these tests for young athletes can be performed in the clinical imbroglio of these disease states (with variable genetic penetrance and phenotypic expression) with concomitant fiscal accountability and logistical expediency in this era of economic restraint. This monumental endeavor in any city or region requires two crucial elements well known to business scholars: implementation and execution. The eventual solution for the screening ECG dilemma requires a truly innovative and systematic approach that will liberate us from inadequate conventional solutions. Artificial intelligence, specifically the process termed "machine learning" and "neural networking," involves complex algorithms that allow computers to improve the decision-making process based on repeated input of empirical data (e.g., databases and ECGs). These elements all can be improved with a national database, evidence-based medicine, and in the near future, innovation that entails a Kurzweilian artificial intelligence infrastructure with machine learning and neural networking that will construct the ultimate clinical decision-making algorithm.

Association of Congenital and Acquired Cardiovascular Conditions With COVID-19 Severity Among Pediatric Patients in the US.

Importance: Identifying the associations between severe COVID-19 and individual cardiovascular conditions in pediatric patients may inform treatment. Objective: To assess the association between previous or preexisting cardiovascular conditions and severity of COVID-19 in pediatric patients. Design, Setting, and Participants: This retrospective cohort study used data from a large, multicenter, electronic health records database in the US. The cohort included patients aged 2 months to 17 years with a laboratory-confirmed diagnosis of COVID-19 or a diagnosis code indicating infection or exposure to SARS-CoV-2 at 85 health systems between March 1, 2020, and January 31, 2021. Exposures: Diagnoses for 26 cardiovascular conditions between January 1, 2015, and December 31, 2019 (before infection with SARS-CoV-2). Main Outcomes and Measures: The main outcome was severe COVID-19, defined as need for supplemental oxygen or in-hospital death. Mixed-effects, random intercept logistic regression modeling assessed the significance and magnitude of associations between 26 cardiovascular conditions and COVID-19 severity. Multiple comparison adjustment was performed using the Benjamini-Hochberg false discovery rate procedure. Results: The study comprised 171 416 pediatric patients; the median age was 8 years (IQR, 2-14 years), and 50.28% were male. Of these patients, 17 065 (9.96%) had severe COVID-19. The random intercept model showed that the following cardiovascular conditions were associated with severe COVID-19: cardiac arrest (odds ratio [OR], 9.92; 95% CI, 6.93-14.20), cardiogenic shock (OR, 3.07; 95% CI, 1.90-4.96), heart surgery (OR, 3.04; 95% CI, 2.26-4.08), cardiopulmonary disease (OR, 1.91; 95% CI, 1.56-2.34), heart failure (OR, 1.82; 95% CI, 1.46-2.26), hypotension (OR, 1.57; 95% CI, 1.38-1.79), nontraumatic cerebral hemorrhage (OR, 1.54; 95% CI, 1.24-1.91), pericarditis (OR, 1.50; 95% CI, 1.17-1.94), simple biventricular defects (OR, 1.45; 95% CI, 1.29-1.62), venous embolism and thrombosis (OR, 1.39; 95% CI, 1.11-1.73), other hypertensive disorders (OR, 1.34; 95% CI, 1.09-1.63), complex biventricular defects (OR, 1.33; 95% CI, 1.14-1.54), and essential primary hypertension (OR, 1.22; 95% CI, 1.08-1.38). Furthermore, 194 of 258 patients (75.19%) with a history of cardiac arrest were younger than 12 years. Conclusions and Relevance: The findings suggest that some previous or preexisting cardiovascular conditions are associated with increased severity of COVID-19 among pediatric patients in the US and that morbidity may be increased among individuals children younger than 12 years with previous cardiac arrest.

Artificial Intelligence in Congenital Heart Disease: Current State and Prospects.

The current era of big data offers a wealth of new opportunities for clinicians to leverage artificial intelligence to optimize care for pediatric and adult patients with a congenital heart disease. At present, there is a significant underutilization of artificial intelligence in the clinical setting for the diagnosis, prognosis, and management of congenital heart disease patients. This document is a call to action and will describe the current state of artificial intelligence in congenital heart disease, review challenges, discuss opportunities, and focus on the top priorities of artificial intelligence-based deployment in congenital heart disease.

Management of the postoperative pediatric cardiac surgical patient.

OBJECTIVE: To review the salient aspects and latest advances in the management of the postoperative pediatric cardiac patient. DATA SOURCE: A Medline-based literature source. CONCLUSION: The practice of pediatric cardiac intensive care has evolved considerably over the last several years. These efforts are the result of a collaborative effort from all subspecialties involved in the care of pediatric patients with congenital heart disease. Discoveries and innovations that are representative of this effort include the extension of cerebral oximetry from the operating room into the critical care setting; mechanical circulatory devices designed for pediatric patients; and surgery in very low birth weight neonates. Advances such as these impact postoperative management and make the field of pediatric cardiac intensive care an exciting, demanding, and evolving discipline, necessitating the ongoing commitment of various disciplines to pursue a greater understanding of disease processes and how to best go about treating them.

Carotid intima-media thickness is increased in patients with mucopolysaccharidoses.

BACKGROUND: The feasibility of carotid artery intima-media thickness (C-IMT), an established cardiovascular disease marker, as a cardiac risk marker in mucopolysaccharidosis (MPS) patients was explored. OBJECTIVES: To determine if C-IMT is abnormal in MPS versus unaffected controls, and if C-IMT correlates with coronary artery diameter in MPS. MATERIAL AND METHODS: Measurements of C-IMT via neck ultrasound and echocardiographic parameters, including coronary artery diameters, were obtained from MPS and control patients, and compared. RESULTS: Sixteen MPS subjects (6 MPS I, 6 MPS II, 2 MPS III, 1 MPS VI, 1 MPS VII) and sixteen age, ethnicity, and gender-matched controls were enrolled. Median MPS and control subject ages were 8.3±4.5 and 8.6±4.3 years, respectively (p=0.73). Mean MPS and control C-IMTs were 0.54±0.070 and 0.48±0.034 mm (p=0.0029). No differences in left main, left anterior descending, or right coronary artery diameters were seen between MPS and controls. A significant proportion of MPS subjects had mitral insufficiency (14/16; p=0.0002), aortic insufficiency (10/16; p=0.0021), and left ventricular dilatation (7/16, p=0.037) versus controls. C-IMT did not correlate significantly with age, height, weight, coronary measurements, or duration of treatment. CONCLUSION: C-IMT in MPS patients is increased compared to matched controls, likely reflective of arterial intima-medial glycosaminoglycan accumulation. MPS subjects demonstrated a high percentage of left-sided valvular insufficiency and ventricular dilatation. Additional studies should be performed in MPS patients to determine if C-IMT correlates with arterial elasticity, biomarkers of vascular dysfunction, and higher risk of cardiovascular events.

Artificial intelligence and COVID-19: Present state and future vision.

The COVID-19 pandemic has lead to catastrophic number of deaths and revealed that much work still remains with data and artificial intelligence. To fully comprehend the dynamics of a pandemic with relevance to artificial intelligence, a primer on global health concepts is first presented. Following this, various aspects of diagnosis and therapy and the relationship to artificial intelligence are presented along with a future projection of an ideal deployment of artificial intelligence in a pandemic. Final thoughts are made about lessons learned and what lies ahead.

The Next Frontier in Pediatric Cardiology: Artificial Intelligence.

Artificial intelligence (AI) in the last decade centered primarily around digitizing and incorporating the large volumes of patient data from electronic health records. AI is now poised to make the next step in health care integration, with precision medicine, imaging support, and development of individual health trends with the popularization of wearable devices. Future clinical pediatric cardiologists will use AI as an adjunct in delivering optimum patient care, with the help of accurate predictive risk calculators, continual health monitoring from wearables, and precision medicine. Physicians must also protect their patients' health information from monetization or exploitation.

Chlamydophila pneumoniae myopericarditis in a child.

An 11-year-old boy with serologically confirmed Chlamydophila pneumoniae infection presented with clinical, laboratory, and echocardiographic changes consistent with myopericarditis. No reports on C. pneumoniae myopericarditis in children are found in the medical literature. The boy, previously healthy, presented with fever, rash, constitutional symptoms, elevated acute phase reactants, elevated cardiac enzymes, and high brain natriuretic peptide levels. Hemodynamic instabilities, including hypotension and mild hypoxia, were noted. Two-dimensional echocardiographic findings showed mildly depressed left ventricular systolic function and small pericardial effusion. Requiring inotropic support, the boy was treated with azithromycin 10 mg/kg once daily for 7 days and a single dose of intravenous immunoglobulin 2 g/kg. He recovered fully with improved left ventricular systolic function before hospital discharge. An early definitive diagnosis is essential to knowing the etiology of pediatric myocarditis. Specific therapy may play role in the management and prognosis of this disorder.

Cardiomyopathy in a child with neutropenia and motor delay.

A 17-month boy with history of neutropenia and gross motor regression was found to have cardiomyopathy upon admission. He was diagnosed with Barth syndrome: dilated cardiomyopathy, neutropenia, skeletal myopathy, decreased stature, and 3-methylglutaconic aciduria, confirmed by tafazzin gene deletion. This diagnosis should be considered in boys with unexplained neutropenia.

Worsening renal function in children hospitalized with decompensated heart failure: evidence for a pediatric cardiorenal syndrome?

OBJECTIVES: The purpose of this study was to determine the incidence of renal insufficiency in children hospitalized with acute decompensated heart failure and whether worsening renal function is associated with adverse cardiovascular outcome. DESIGN: Prospective observational cohort study. SETTING: Single-center children's hospital. PATIENTS: All pediatric patients from birth to age 21 yrs admitted to our institution with acute decompensated heart failure from October 2003 to October 2005. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Acute decompensated heart failure was defined as new-onset or acute exacerbation of heart failure signs or symptoms requiring hospitalization and inpatient treatment. We required that heart failure be attributable to ventricular dysfunction only. Worsening renal function was defined as an increase in serum creatinine by > or = 0.3 mg/dL during hospitalization. Sixty-three patients (35 male, 28 female) comprised 73 patient hospitalizations. Median age at admission was 10 yrs (range 0.1-20.3 yrs). Median serum creatinine at admission was 0.6 mg/dL (range 0.2-3.5 mg/dL), and median creatinine clearance was 103 mL/min/1.73 m2 (range 22-431 mL/min/1.73 m2). Serum creatinine increased during 60 of 73 (82%) patient hospitalizations (median increase 0.2 mg/dL, range 0.1-2.7 mg/dL), and worsening renal function occurred in 35 of 73 (48%) patient hospitalizations. Clinical variables associated with worsening renal function included admission serum creatinine (p = .009) and blood urea nitrogen (p = .04) and, during hospitalization, continuous infusions of dopamine (p = .028) or nesiritide (p = .007). Worsening renal function was independently associated with the combined end point of in-hospital death or need for mechanical circulatory support (adjusted odds ratio 10.2; 95% confidence interval 1.7-61.2, p = .011). Worsening renal function was also associated with longer observed length of stay (33 +/- 30 days vs. 18 +/- 25 days, p < .03). CONCLUSIONS: These data suggest that an important cardiorenal interaction occurs in children hospitalized for acute decompensated heart failure. Renal function commonly worsens in such patients and is associated with prolonged hospitalization and in-hospital death or the need for mechanical circulatory assistance.