How We Would Treat Our Own Congenital Cardiac Catheterization Laboratory Patient.

The field of congenital cardiac catheterization (CCC) has changed dramatically since it began 8 decades ago. New techniques and devices have expanded the indications for interventional catheterization. Heart teams who care for patients in the pediatric and congenital cardiac catheterization laboratory are confronted with a growing number of patients presenting for a wide range of increasingly technically challenging cases. Multiple societies have published expert guidelines for CCC management to provide recommendations for best practice. We reviewed risk stratification strategies for CCC and describe our institution's comprehensive, multidisciplinary approach to the periprocedural management of patients with congenital heart disease undergoing cardiac catheterization, using the index case of a 6-year-old patient with multiple heart defects. We concluded that risk stratification and a comprehensive, multidisciplinary team approach that begins when a procedure is booked is essential to inform management and optimize outcomes. Clinical decision-making should be informed by expert guidelines and evolving risk stratification research.

Five Steps in Performing Machine Learning for Binary Outcomes.

OBJECTIVES: Machine learning is evolving quickly in cardiovascular and thoracic surgery. Maximizing the capabilities of machine learning can help to improve patient risk stratification and clinical decision-making, improve accuracy of predictions, and help improve resource utilization in cardiac surgery. There are many nuances and intricacies in machine learning modeling which need to be understood to appropriately implement these technologies in the clinical research setting. Therefore, the goal of this primer is to provide an educational framework of machine learning for generating predicted probabilities in clinical research and to illustrate it with a real-world clinical example. METHODS: We focus on modeling for binary classification and imbalanced classes as this is a common scenario in cardiothoracic surgery research. We present a 5-step strategy for successfully harnessing the power of machine learning and performing such analyses, and we demonstrate our strategy using a real-world example based on data from the National Surgical Quality Improvement Program (NSQIP) Pediatric database. CONCLUSIONS: Collaboration between surgeons, care providers, statisticians, data scientists, and information technology professionals can help to maximize the impact of machine learning as a powerful tool in cardiac surgery.

Selected 2023 Highlights in Congenital Cardiac Anesthesia.

This article reviews the highlights of pertinent literature of interest to the congenital cardiac anesthesiologist published in 2023. After a search of the US National Library of Medicine PubMed database, several topics emerged where significant contributions were made in 2023. The authors of this article considered the following topics noteworthy to be included in this review: (1) advancements in percutaneous mechanical support in children with congenital heart disease, (2) children with pulmonary hypertension undergoing surgery for congenital heart disease, (3) dexmedetomidine in pediatric cardiac surgery, and (4) recommendations for pediatric heart surgery in the United States: Implications for pediatric cardiac anesthesia.

Erector spinae plane blocks for opioid-sparing multimodal pain management after pediatric cardiac surgery.

OBJECTIVE: Peripheral regional anesthesia is proposed to enhance recovery. We sought to evaluate the efficacy of bilateral continuous erector spinae plane blocks (B-ESpB) for postoperative analgesia and the impact on recovery in children undergoing cardiac surgery. METHODS: Patients aged 2 through 17 years undergoing cardiac surgery in the enhanced recovery after cardiac surgery program were prospectively enrolled to receive B-ESpB at the end of the procedure, with continuous infusions via catheters postoperatively. Participants wore an activity monitor until discharge. B-ESpB patients were retrospectively matched with control patients in the enhanced recovery after cardiac surgery program. Outcomes of the matched clusters were compared using exact conditional logistic regression and generalized linear modeling. RESULTS: Forty patients receiving B-ESpB were matched to 78 controls. There were no major complications from the B-ESpB or infusions, and operating room time was longer by a median of 31 minutes. While blocks were infusing, patients with B-ESpB received fewer opioids in oral morphine equivalents than controls at 24 hours (0.60 ± 0.06 vs 0.78 ± 0.04 mg/kg; P = .02) and 48 hours (1.13 ± 0.08 vs 1.35 ± 0.06 mg/kg; P = .04), respectively. Both groups had low median pain scores per 12-hour period. There was no difference in early mobilization, length of stay, or complications. CONCLUSIONS: B-ESpBs are safe in children undergoing cardiac surgery. When performed as part of a multimodal pain strategy in an enhanced recovery after cardiac surgery program, pediatric patients with B-ESpB experience good pain control and require fewer opioids in the first 48 hours.

European Pediatric Cardiac Anesthesia Fellowship Program: A First Proof of Concept.

The Pediatric Cardiac Anesthesia (PCA) fellowship is a demanding training program in Europe and the United States. Successful completion of the program requires years of training in anesthesiology, a thorough understanding of cardiovascular anatomy and physiology, and extensive experience in the perioperative management of neonates and children with heart disease. In the context of the first candidate to successfully complete the PCA program in Europe, this article presents excerpts from the design and structure of the European PCA program. The PCA program is evaluated critically by both external and internal reviewers, and points are highlighted that could be included in the next version of the program.

Where have all the pediatric anesthesiology fellows gone in the USA? Anesthesiology fellowship trends.

BACKGROUND: Recent consternation over the number of unfilled Pediatric Anesthesiology fellowship positions in the United States compelled us to assess the change in the ratio of Pediatric Anesthesiology fellows to the number of graduating anesthesiology residents over the 14-year period between 2008 and 2022. We also sought to report the total ratio of anesthesiology fellows to graduating residents and trends in the annual number of fellowship applicants relative to the number of Accreditation Council for Graduate Medical Education (ACGME)-accredited anesthesiology fellowship positions by specialty. METHODS: We used publicly available resources, including ACGME Data Resource Books, National Resident Matching Program (NRMP) data, San Francisco (SF) Match data, and American Board of Medical Specialties (ABMS) data, to determine the ratio of anesthesiology fellows to graduating anesthesiology residents and to compare the number of fellowship applicants to fellowship positions for Adult Cardiothoracic Anesthesiology, Critical Care Anesthesiology, Obstetric Anesthesiology, Pain Medicine and Pediatric Anesthesiology. RESULTS: Since 2008, the ratio of ACGME-accredited anesthesiology fellows to graduating residents increased from 0.36 in 2008 (2007 residency graduates) to 0.59 in 2022 (2021 residency graduates) and the ratio of Pediatric Anesthesiology fellows to graduating residents remained relatively stable from 0.10 to 0.11. The number of unmatched positions in Pediatric Anesthesiology increased from 17 in 2017 to 86 in 2023, and all ACGME-accredited fellowships had more positions available than applicants in 2023. CONCLUSION: In the USA, while the ratio of Pediatric Anesthesiology fellowship graduates to anesthesiology residency graduates remained relatively constant from 2008 to 2022, this is likely a lagging indicator that has not yet accounted for the recent decrease in fellowship applicants. These findings refute prior estimates for a surplus in Pediatric Anesthesia supply in the USA and have significant implications for the future.

Predictors and outcomes of perioperative cardiac arrest in children undergoing noncardiac surgery.

Background: Perioperative cardiac arrest continues to occur. This study aims to identify risk factors for perioperative cardiac arrest in children presenting for noncardiac surgery and characterise its outcomes. Methods: Using the National Surgical Quality Improvement Program (NSQIP) Pediatric Database 2019 and 2020, 261 276 patients were included. Patients ≥18 yr and cardiac surgical procedures were excluded. Exploratory multivariable analysis was performed to identify independent predictors of perioperative cardiac arrest and associated outcomes. Results: The overall rate of cardiac arrest was 0.1%, with an intraoperative rate of 0.05% and 48-h postoperative rate of 0.06%. Significant risk factors for perioperative cardiac arrest included age <12 months (adjusted odds ratios [aOR] 3.07, P<0.001), American Society of Anesthesiology Physical Status classification (ASA-PS 3 aOR=2.57, P<0.001; ASA-PS 4 aOR=5.27, P<0.001; ASA-PS 5 aOR=13.1, P<0.001), admission through the emergency room (aOR 1.7, P=0.003), inpatient (aOR 2.19, P=0.008), major and severe cardiac disease (aOR 1.58, P=0.008), impaired cognitive status (aOR 1.54, P=0.009), and longer anaesthesia duration (aOR 1.1 per 30 min, P<0.001). Perioperative cardiac arrest was significantly associated with longer hospital length of stay, reoperation, differences in discharge destination, and 30-day mortality. In addition, patients experiencing postoperative cardiac arrest had a significantly higher rate of in-hospital and 30-day mortality than those experiencing intraoperative cardiac arrest. Conclusions: The incidence of cardiac arrest in this study is higher than previously reported. This may be related to selection bias and the rigorous data collection required by NSQIP. Lower 30-day mortality after intraoperative cardiac arrest could be related to prompt recognition and rapid initiation of intraoperative resuscitation. Identification of perioperative risk factors for cardiac arrest is crucial to improve the safety and quality of patient care.

Predictors of anesthesia ready time: Analysis and benchmark data.

Objective: Patients undergoing congenital cardiac surgery require induction of anesthesia. Our objective was to identify the median anesthesia ready time and the predictors of this time. Methods: By using the Society of Thoracic Surgeons Congenital Heart Surgery Database, we identified patients who underwent cardiopulmonary bypass procedures from 2017 to 2021. Univariate and multivariable regression modeling to predict the anesthesia ready time was performed using mixed-effects linear regression. Results: After exclusion of outliers, 44,418 cases were analyzed. The median anesthesia ready time was 51 minutes (interquartile range, 38-66). On multivariable analysis, independent predictors of a longer anesthesia ready time included decreasing weight (0.3 min/10 kg, 95% CI, 0.1-0.6; P = .011), prematurity (1.5 minutes, 95% CI, 0.8-2.2; P < .001), and presence of chromosomal abnormality (3.4 minutes, 95% CI, 1.5-5.2; P < .001). An increase in the duration in anesthesia ready time was seen with increasing Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery mortality category with an additional 7.8 minutes (95% CI, 5.2-10.4; P < .001) for a Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery 5 procedure compared with Society of Thoracic Surgeons-European Association for Cardiothoracic Surgery 1. Emergency versus elective case designation was associated with an anesthesia ready time reduction of 3.6 minutes (95% CI, 1.1-6.1; P = .005), and an afternoon case start was associated with an anesthesia ready time reduction of 4.2 minutes (95% CI, 2.8-5.6; P < .001). The presence of an anesthesia trainee increased the anesthesia ready time by 3.8 minutes (95% CI, 2.6-5.0; P < .001). The presence of an airway in situ decreased the anesthesia ready time by 3.6 minutes (95% CI, 1.6-5.5; P < .001), whereas an in situ arterial line decreased the anesthesia ready time by 7.4 minutes (95% CI, 4.6-10.2; P < .001). Placement of a central venous line increased the anesthesia ready time by 8.5 minutes (95% CI, 5.9-11.1; P < .001). Conclusions: The median anesthesia ready time was 51 minutes. For patients with characteristics associated with prolonged anesthesia ready time, consideration should be given to allocation of additional anesthesia staffing to improve efficiency.

Patterns in hospital admissions for adults with congenital heart disease for non-cardiac procedures.

OBJECTIVE: Advances in management of congenital heart disease (CHD) have led to an increasing population of adults with CHD, many of whom require non-cardiac procedures. The objectives of this study were to describe the characteristics of these patients, their distribution among different hospital categories and the characteristics determining this distribution, and mortality rates following noncardiac procedures. METHODS: We retrospectively analysed 27 state inpatient databases. Encounters with CHD and non-cardiac procedures were included. The location of care was classified into two categories: hospitals with and without cardiac surgical programmes. Variables included were demographics, comorbidity index, mortality. Multivariable logistic regression was used to explore predictors for care in different locations. RESULTS: The cohort consisted of 12 944 encounters in 1206 hospitals. Most patients were cared for in hospitals with a cardiac surgical programme (78.1%). Patients presenting to hospitals with a cardiac surgical programme presented with higher comorbidity index (6 (IQR: 0-19) vs 2 (IQR: -3-14), p<0.001) than patients presenting to hospitals without a cardiac surgical programme. Mortality was higher in hospitals with cardiac surgical programmes compared with hospitals without cardiac surgical programmes (4.0% vs 2.3%, p<0.001). Factors associated with provision of care at a hospital with a cardiac surgical programme were comorbidity index (>7: OR 2.01 (95% CI 1.83 to 2.21), p<0.001; 2-7: OR 1.59 (95% CI 1.41 to 1.79), p<0.001) and age (18-44 years: OR 1.43 (95% CI 1.26 to 1.62), p<0.001; 45-64 years: OR 1.21 (95% CI 1.08 to 1.34), p<0.001). CONCLUSION: Adults with CHD undergoing non-cardiac procedures are mainly cared for in hospitals with a cardiac surgical programme and have greater comorbidities and higher mortality than those in centres without cardiac surgical programmes. Risk stratification and locoregional accessibility need further assessment to fully understand admission patterns.

Transcatheter Ductal Stents Versus Surgical Systemic-Pulmonary Artery Shunts in Neonates With Congenital Heart Disease With Ductal-Dependent Pulmonary Blood Flow: Trends and Associated Outcomes From the Pediatric Health Information System Database.

Background Surgical systemic-to-pulmonary artery shunts have been the standard approach to establish stable pulmonary blood flow in neonates with congenital heart disease with ductal-dependent pulmonary blood flow. More recently, transcatheter ductal stents have been performed as an alternative, less invasive intervention. We aimed to characterize trends in the utilization of surgical shunts versus ductal stents and compare associated outcomes. Methods and Results Using data from the Pediatric Health Information System, we retrospectively analyzed neonates with congenital heart disease with ductal-dependent pulmonary blood flow who underwent surgical shunt or ductal stent placement between January 2016 and December 2021. Patients were identified by International Classification of Diseases, Tenth Revision (ICD-10) diagnosis and procedure codes. The primary outcome was length of hospital stay. Secondary outcomes were reintervention risk and adjusted hospital costs. Of 936 patients included, 65.2% underwent a surgical shunt over the 6-year period. The proportion who underwent ductal stenting increased from 19% to 53.4% from 2016 to 2021. The median adjusted difference in postintervention length of hospital stay was 11 days greater for the surgical shunt cohort (95% CI, 7.2-14.8; P<0.001). The adjusted reintervention risks within 3 (odds ratio [OR], 3.37 [95% CI, 1.91-5.95], P<0.001) and 6 months (OR, 2.43 [95% CI, 1.62-3.64], P<0.001) were significantly greater in the ductal stent group. Median adjusted index hospital costs were $198 300 ($11 6400-$340 000) versus $120 400 ($81 800-$192 400) for the surgical shunt and ductal stent cohorts, respectively (P<0.001). Conclusions Ductal stenting has become an increasingly utilized palliative approach to secure pulmonary blood flow in neonates with congenital heart disease with ductal-dependent pulmonary blood flow in the United States. Ductal stenting is associated with decreased length of hospital stay and reduced overall cost for the index hospitalization but with a greater reintervention risk than surgical shunting.

Selected 2022 Highlights in Congenital Cardiac Anesthesia.

This article is a review of the highlights of pertinent literature of interest to the congenital cardiac anesthesiologist, and was published in 2022. After a search of the United States National Library of Medicine PubMed database, several topics emerged in which significant contributions were made in 2022. The authors of this manuscript considered the following topics noteworthy to be included in this review-intensive care unit admission after congenital cardiac catheterization interventions, antifibrinolytics in pediatric cardiac surgery, the current status of the pediatric cardiac anesthesia workforce in the United States, and kidney injury and renal protection during congenital heart surgery.

Evolution of Accredited Pediatric Cardiac Anesthesiology Fellowship Training in the United States: A Step in the Right Direction.

Pediatric cardiac anesthesiology has developed as a subsubspecialty of anesthesiology over the past 70 years. The evolution of this specialty has led to the establishment in 2005 of a dedicated professional society, the Congenital Cardiac Anesthesia Society (CCAS). By 2010, multiple training pathways for pediatric cardiac anesthesia emerged. Eight programs in the United States offered advanced pediatric cardiac anesthesia with variable duration, ranging from 3 to 12 months. Other programs offered a combined fellow/staff position for 1 year. The need for a standardized training pathway was recognized by the Pediatric Anesthesia Leadership Council (PALC) and CCAS in 2014. Specifically, it was recommended that pediatric cardiac anesthesiology be a second, 12-month advanced fellowship following pediatric anesthesia to acquire skills unique from those acquired during a pediatric anesthesia fellowship. This was reiterated in 2018, when specific pediatric cardiac anesthesia training milestones were developed through consensus by the CCAS leadership. However, given the continuous increasing demand for well-trained pediatric cardiac anesthesiologists, it is essential that a supply of comprehensively trained physicians exists. High-quality training programs are therefore necessary to ensure excellent clinical care and enhanced patient safety. Currently, there are 23 programs offering one or more positions for 1-year pediatric cardiac anesthesia fellowship. Due to the diverse curriculum and evaluation process, formalization of the training with accreditation through the Accreditation Council for Graduate Medical Education (ACGME) was the obvious next step. Initial inquiry started in April 2020. The ACGME recognized pediatric cardiac anesthesia as a subsubspecialty in February 2021. The program requirements and milestones for the 1-year fellowship training were developed in 2021 and 2022. This special article reviews the history of pediatric cardiac anesthesia training, the ACGME application process, the development of program requirements and milestones, and implementation.

Validation of Automated Data Extraction From the Electronic Medical Record to Provide a Pediatric Risk Assessment Score.

BACKGROUND: Although the rate of pediatric postoperative mortality is low, the development and validation of perioperative risk assessment models have allowed for the stratification of those at highest risk, including the Pediatric Risk Assessment (PRAm) score. The clinical application of such tools requires manual data entry, which may be inaccurate or incomplete, compromise efficiency, and increase physicians' clerical obligations. We aimed to create an electronically derived, automated PRAm score and to evaluate its agreement with the original American College of Surgery National Surgical Quality Improvement Program (ACS NSQIP)-derived and validated score. METHODS: We performed a retrospective observational study of children <18 years who underwent noncardiac surgery from 2017 through 2021 at Boston Children's Hospital (BCH). An automated PRAm score was developed via electronic derivation of International Classification of Disease (ICD) -9 and -10 codes. The primary outcome was agreement and correlation among PRAm scores obtained via automation, NSQIP data, and manual physician entry from the same BCH cohort. The secondary outcome was discriminatory ability of the 3 PRAm versions. Fleiss Kappa, Spearman correlation (rho), and intraclass correlation coefficient (ICC) and receiver operating characteristic (ROC) curve analyses with area under the curve (AUC) were applied accordingly. RESULTS: Of the 6014 patients with NSQIP and automated PRAm scores (manual scores: n = 5267), the rate of 30-day mortality was 0.18% (n = 11). Agreement and correlation were greater between the NSQIP and automated scores (rho = 0.78; 95% confidence interval [CI], 0.76-0.79; P <.001; ICC = 0.80; 95% CI, 0.79-0.81; Fleiss kappa = 0.66; 95% CI, 0.65-0.67) versus the NSQIP and manual scores (rho = 0.73; 95% CI, 0.71-0.74; P < .001; ICC = 0.78; 95% CI, 0.77-0.79; Fleiss kappa = 0.56; 95% CI, 0.54-0.57). ROC analysis with AUC showed the manual score to have the greatest discrimination (AUC = 0.976; 95% CI, 0.959,0.993) compared to the NSQIP (AUC = 0.904; 95% CI, 0.792-0.999) and automated (AUC = 0.880; 95% CI, 0.769-0.999) scores. CONCLUSIONS: Development of an electronically derived, automated PRAm score that maintains good discrimination for 30-day mortality in neonates, infants, and children after noncardiac surgery is feasible. The automated PRAm score may reduce the preoperative clerical workload and provide an efficient and accurate means by which to risk stratify neonatal and pediatric surgical patients with the goal of improving clinical outcomes and resource utilization.