Predicting post-discharge complications in cardiothoracic surgery: A clinical decision support system to optimize remote patient monitoring resources.

Cardiac surgery patients are highly prone to severe complications post-discharge. Close follow-up through remote patient monitoring can help detect adverse outcomes earlier or prevent them, closing the gap between hospital and home care. However, equipment is limited due to economic and human resource constraints. This issue raises the need for efficient risk estimation to provide clinicians with insights into the potential benefit of remote monitoring for each patient. Standard models, such as the EuroSCORE, predict the mortality risk before the surgery. While these are used and validated in real settings, the models lack information collected during or following the surgery, determinant to predict adverse outcomes occurring further in the future. This paper proposes a Clinical Decision Support System based on Machine Learning to estimate the risk of severe complications within 90 days following cardiothoracic surgery discharge, an innovative objective underexplored in the literature. Health records from a cardiothoracic surgery department regarding 5 045 patients (60.8% male) collected throughout ten years were used to train predictive models. Clinicians' insights contributed to improving data preparation and extending traditional pipeline optimization techniques, addressing medical Artificial Intelligence requirements. Two separate test sets were used to evaluate the generalizability, one derived from a patient-grouped 70/30 split and another including all surgeries from the last available year. The achieved Area Under the Receiver Operating Characteristic curve on these test sets was 69.5% and 65.3%, respectively. Also, additional testing was implemented to simulate a real-world use case considering the weekly distribution of remote patient monitoring resources post-discharge. Compared to the random resource allocation, the selection of patients with respect to the outputs of the proposed model was proven beneficial, as it led to a higher number of high-risk patients receiving remote monitoring equipment.

Congenital Heart Surgery Machine Learning-Derived In-Depth Benchmarking Tool.

BACKGROUND: We previously showed that machine learning-based methodologies of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery and assess case-mix-adjusted performance after benchmark procedures. We extend this methodology to provide interpretable, easily accessible, and actionable hospital performance analysis across all procedures. METHODS: The European Congenital Heart Surgeons Association Congenital Cardiac Database data subset of 172,888 congenital cardiac surgical procedures performed in European centers between 1989 and 2022 was analyzed. OCT models (decision trees) were built predicting hospital mortality (area under the curve [AUC], 0.866), prolonged postoperative mechanical ventilatory support time (AUC, 0.851), or hospital length of stay (AUC, 0.818), thereby establishing case-adjusted benchmarking standards reflecting the overall performance of all participating hospitals, designated as the "virtual hospital." OCT analysis of virtual hospital aggregate data yielded predicted expected outcomes (both aggregate and for risk-matched patient cohorts) for the individual hospital's own specific case-mix, readily available on-line. RESULTS: Raw average rates were hospital mortality, 4.9%; mechanical ventilatory support time, 14.5%; and length of stay, 15.0%. Of 146 participating centers, compared with each hospital's overall case-adjusted predicted hospital mortality benchmark, 20.5% statistically (<90% CI) overperformed and 20.5% underperformed. An interactive tool based on the OCT analysis automatically reveals 14 hospital-specific patient cohorts, simultaneously assessing overperformance or underperformance, and enabling further analysis of cohort strata in any chosen time frame. CONCLUSIONS: Machine learning-based OCT benchmarking analysis provides automatic assessment of hospital-specific case-adjusted performance after congenital heart surgery, not only overall but importantly, also by similar risk patient cohorts. This is a tool for hospital self-assessment, particularly facilitated by the user-accessible online-platform.

Combining Congenital Heart Surgical and Interventional Cardiology Outcome Data in a Single Database: The Development of a Patient-Centered Collaboration of the European Congenital Heart Surgeons Association (ECHSA) and the Association for European Paediatric and Congenital Cardiology (AEPC).

The European Congenital Heart Surgeons Association (ECHSA) Congenital Database (CD) is the second largest clinical pediatric and congenital cardiac surgical database in the world and the largest in Europe, where various smaller national or regional databases exist. Despite the dramatic increase in interventional cardiology procedures over recent years, only scattered national or regional databases of such procedures exist in Europe. Most importantly, no congenital cardiac database exists in the world that seamlessly combines both surgical and interventional cardiology data on an international level; therefore, the outcomes of surgical and interventional procedures performed on the same or similar patients cannot easily be tracked, assessed, and analyzed. In order to fill this important gap in our capability to gather and analyze information on our common patients, ECHSA and The Association for European Paediatric and Congenital Cardiology (AEPC) have embarked on a collaborative effort to expand the ECHSA-CD with a new module designed to capture data about interventional cardiology procedures. The purpose of this manuscript is to describe the concept, the structure, and the function of the new AEPC Interventional Cardiology Part of the ECHSA-CD, as well as the potentially valuable synergies provided by the shared interventional and surgical analyses of outcomes of patients. The new AEPC Interventional Cardiology Part of the ECHSA-CD will allow centers to have access to robust surgical and transcatheter outcome data from their own center, as well as robust national and international aggregate outcome data for benchmarking. Each contributing center or department will have access to their own data, as well as aggregate data from the AEPC Interventional Cardiology Part of the ECHSA-CD. The new AEPC Interventional Cardiology Part of the ECHSA-CD will allow cardiology centers to have access to aggregate cardiology data, just as surgical centers already have access to aggregate surgical data. Comparison of surgical and catheter interventional outcomes could potentially strengthen decision processes. A study of the wealth of information collected in the database could potentially also contribute toward improved early and late survival, as well as enhanced quality of life of patients with pediatric and/or congenital heart disease treated with surgery and interventional cardiac catheterization across Europe and the world.

Combining Congenital Heart Surgical and Interventional Cardiology Outcome Data in a Single Database: The Development of a Patient-Centered Collaboration of the European Congenital Heart Surgeons Association (ECHSA) and the Association for European Paediatric and Congenital Cardiology (AEPC).

The European Congenital Heart Surgeons Association (ECHSA) Congenital Database (CD) is the second largest clinical pediatric and congenital cardiac surgical database in the world and the largest in Europe, where various smaller national or regional databases exist. Despite the dramatic increase in interventional cardiology procedures over recent years, only scattered national or regional databases of such procedures exist in Europe. Most importantly, no congenital cardiac database exists in the world that seamlessly combines both surgical and interventional cardiology data on an international level; therefore, the outcomes of surgical and interventional procedures performed on the same or similar patients cannot easily be tracked, assessed, and analyzed. In order to fill this important gap in our capability to gather and analyze information on our common patients, ECHSA and The Association for European Paediatric and Congenital Cardiology (AEPC) have embarked on a collaborative effort to expand the ECHSA-CD with a new module designed to capture data about interventional cardiology procedures. The purpose of this manuscript is to describe the concept, the structure, and the function of the new AEPC Interventional Cardiology Part of the ECHSA-CD, as well as the potentially valuable synergies provided by the shared interventional and surgical analyses of outcomes of patients. The new AEPC Interventional Cardiology Part of the ECHSA-CD will allow centers to have access to robust surgical and transcatheter outcome data from their own center, as well as robust national and international aggregate outcome data for benchmarking. Each contributing center or department will have access to their own data, as well as aggregate data from the AEPC Interventional Cardiology Part of the ECHSA-CD. The new AEPC Interventional Cardiology Part of the ECHSA-CD will allow cardiology centers to have access to aggregate cardiology data, just as surgical centers already have access to aggregate surgical data. Comparison of surgical and catheter interventional outcomes could potentially strengthen decision processes. A study of the wealth of information collected in the database could potentially also contribute toward improved early and late survival, as well as enhanced quality of life of patients with pediatric and/or congenital heart disease treated with surgery and interventional cardiac catheterization across Europe and the world.

One-Year Survival after Cardiac Surgery in Frail Older People-Social Support Matters: A Prospective Cohort Study.

There are increasing rates of cardiac surgery in the elderly. Frailty, depression, and social vulnerability are frequently present in older people, and should be considered while assessing risk and providing treatment options. We aimed to analyse the impact of clinically relevant variables on survival at one year, and identify areas of future intervention. We performed a prospective cohort study at a University Hospital, with a sample of 309 elective cardiac surgery patients 65 years old and over. Their socio-demographic and clinical variables were collected. Frailty prevalence was 61.3%, while depression was absent in the majority of patients. Mortality was 1.6% and 7.8% at 30 days and 12 months, respectively. After Kaplan-Meier analysis, severe frailty (p = 0.003), severe depression (p = 0.027), pneumonia until 30 days (p = 0.014), and re-operation until 12 months (p = 0.003) significantly reduced survival, while social support increased survival (p = 0.004). In the adjusted multivariable Cox regression model, EuroSCORE II (HR = 1.27 [95% CI 1.069-1.499] p = 0.006), pneumonia until 30 days (HR = 4.19 [95% CI 1.169-15.034] p = 0.028), re-intervention until 12 months (HR = 3.14 [95% CI 1.091-9.056] p = 0.034), and social support (HR = 0.24 [95% CI 0.079-0.727] p = 0.012) explained time until death. Regular screening for social support, depression, and frailty adds relevant information regarding risk stratification, perioperative interventions, and decision-making in older people considered for cardiac surgery.

Reproducibility and validity of the Portuguese Edmonton Frail Scale version in cardiac surgery patients.

INTRODUCTION: Frailty is a multidimensional syndrome characterized by the loss of functional reserve, associated with higher mortality and less functional survival in cardiac surgery patients. The Edmonton Frail Scale (EFS) is a comprehensive tool devised for brief frailty detection. To the best of our knowledge, there are no culturally adapted and validated frailty screening tools that enable the identification of vulnerability domains suited for use in the preoperative setting in Portugal. This was the motivation for this study. OBJECTIVES: To assess the validity and reproducibility of the Portuguese version of the EFS. METHODS: Prospective observational study, in a sample of elective cardiac surgery patients. The Edmonton Frail Scale (EFS) translation and backtranslation were performed. Demographic and clinical data were collected, and the translated EFS translated, Geriatric Depression Scale, and Mini Mental State Examination Portuguese versions, Katz and Clinical Frailty Scales were administered. To assess validity Mann-Whitney test, Spearman's correlation coefficient, marginal homogeneity test and Kappa coefficient were employed. Reproducibility was assessed estimating kappa coefficient for the frailty diagnosis and the 11 EFS items. Intra-class correlation coefficients and the corresponding 95% confidence interval were estimated using linear mixed effects model. RESULTS: The EFS Portuguese version revealed construct validity for frailty identification, as well as criterion validity for cognition and mood domains. Reproducibility was demonstrated, with k=0.62 (95% confidence interval (CI) 0.42-0.82) and intraclass correlation (ICC)=0.94 (95% CI 0.89-0.97) in inter-observer test and k=0.48 (95% CI 0.26-0.70) and ICC=0.85 (95% CI 0.72-0.92) in intra-observer test. CONCLUSIONS: The EFS Portuguese version is valid and reproducible for use, suiting pre-operative frailty screening in a cardiac surgery setting.

Malignant Primary and Metastatic Cardiac Tumors: A Single-Center 27-Year Case Review.

BACKGROUND: Malignant primary cardiac tumors are exceedingly rare, and despite surgical exeresis or chemotherapy, their prognosis remains poor. Cardiac invasion by metastatic tumors, while more common, also entails an unsatisfactory outcome. This study aimed to review patients diagnosed with malignant primary and secondary cardiac tumors in a tertiary center between 1995 and 2022. METHODS: Clinical data, echocardiographic, computed tomography, and magnetic resonance assessments of tumor location and morphology, histology, treatment, and survival were retrospectively analyzed. RESULTS: Sixty malignant cardiac tumors were diagnosed: 17 primary (A) and 43 metastatic (B) tumors. A: the most common types were angiosarcoma (41%), undifferentiated sarcoma (23%), and fibrosarcoma (18%). Patients with primary tumors were younger than patients with metastatic tumors (41 ± 13 years vs. 57 ± 18 years, p = 0.001), with no significant gender difference. The most frequent presentations were heart failure (59%) and arrhythmia (23%). The most prevalent tumor location was the right heart chambers (71%), mostly in the right atrium (35%). 47% were submitted to tumor resection, and 29% received chemotherapy. The mortality rate was 82% with a median survival of 6.0 (interquartile range: 1.0-11.8) months after diagnosis (minimum of 12 days and maximum of 19 years). One patient with fibrosarcoma underwent heart transplantation and was still alive and well after 19 years. B: regarding metastatic cardiac invasion, the most common primary tumor sites were lung carcinomas (38%), thymomas (17%), and lymphomas (14%). Presentation with pericardial effusion was common (33%). The mortality rate was 72%, with a median survival of 3.6 (1.0-13.4) months (minimum of 7 days, maximum of 5 years). CONCLUSION: Diagnosis of metastatic cardiac tumors was more common than that of malignant primary tumors, both with a dismal prognosis. When radical exeresis is not possible, heart transplantation can be an option with a favorable outcome in carefully selected patients with sarcomas.

Infective endocarditis in a cohort of adult CHD patients.

BACKGROUND: CHD increases the risk of infective endocarditis due to the substrate of prosthetic materials and residual lesions. However, lesion-specific and mortality risks data are lacking. We sought to analyse clinical course and mortality of infective endocarditis in a cohort of adult CHD. METHODS: Retrospective analysis of all cases of proven and probable infective endocarditis (Duke's criteria) followed in our adult CHD clinic between 1970 and August, 2021. Epidemiological, clinical and imaging data were analysed. Predictors of surgical treatment and mortality were assessed using regression analysis. RESULTS: During a mean follow-up of 15.8 ± 10.9 years, 96 patients had 105 infective endocarditis episodes, half with previous cardiac surgery (corrective or palliative). The most frequent diagnoses were: ventricular septal defect, bicuspid aortic valve, Tetralogy of Fallot and pulmonary atresia. The site of infection was identified by echocardiography in 82 episodes (91%), most frequently in aortic (n = 27), tricuspid (n = 15), and mitral (n = 13) valves. Blood cultures were positive in 79% of cases, being streptococci (n = 29) and staphylococci (n = 23) the predominant pathogens. Surgery was necessary in 40% and the in-hospital mortality was 10.5%, associated with heart failure (p < 0.001; OR 13.5) and a non-surgical approach (p = 0.003; OR 5.06). CONCLUSIONS: In an adult CHD cohort, infective endocarditis was more frequent in patients with ventricular septal defect and bicuspid aortic valves, which contradicts the current guidelines that excludes them from prophylaxis. Surgical treatment is often required and mortality remains substantial. Prevention of this serious complication should be one of the major tasks in the care of adults with CHD.

Scaling-up digital follow-up care services: collaborative development and implementation of Remote Patient Monitoring pilot initiatives to increase access to follow-up care.

Background: COVID-19 increased the demand for Remote Patient Monitoring (RPM) services as a rapid solution for safe patient follow-up in a lockdown context. Time and resource constraints resulted in unplanned scaled-up RPM pilot initiatives posing risks to the access and quality of care. Scalability and rapid implementation of RPM services require social change and active collaboration between stakeholders. Therefore, a participatory action research (PAR) approach is needed to support the collaborative development of the technological component while simultaneously implementing and evaluating the RPM service through critical action-reflection cycles. Objective: This study aims to demonstrate how PAR can be used to guide the scalability design of RPM pilot initiatives and the implementation of RPM-based follow-up services. Methods: Using a case study strategy, we described the PAR team's (nurses, physicians, developers, and researchers) activities within and across the four phases of the research process (problem definition, planning, action, and reflection). Team meetings were analyzed through content analysis and descriptive statistics. The PAR team selected ex-ante pilot initiatives to reflect upon features feedback and participatory level assessment. Pilot initiatives were investigated using semi-structured interviews transcribed and coded into themes following the principles of grounded theory and pilot meetings minutes and reports through content analysis. The PAR team used the MoSCoW prioritization method to define the set of features and descriptive statistics to reflect on the performance of the PAR approach. Results: The approach involved two action-reflection cycles. From the 15 features identified, the team classified 11 as must-haves in the scaled-up version. The participation was similar among researchers (52.9%), developers (47.5%), and physicians (46.7%), who focused on suggesting and planning actions. Nurses with the lowest participation (5.8%) focused on knowledge sharing and generation. The top three meeting outcomes were: improved research and development system (35.0%), socio-technical-economic constraints characterization (25.2%), and understanding of end-user technology utilization (22.0%). Conclusion: The scalability and implementation of RPM services must consider contextual factors, such as individuals' and organizations' interests and needs. The PAR approach supports simultaneously designing, developing, testing, and evaluating the RPM technological features, in a real-world context, with the participation of healthcare professionals, developers, and researchers.

Mechanical circulatory support in children: Strategies, challenges and future directions.

INTRODUCTION: The use of mechanical circulatory support (MCS) in the pediatric population has evolved significantly in the past 20 years, but its management still poses several challenges. We aim to describe patient characteristics, outcomes, and morbidity associated with different modalities of MCS, in a tertiary center. METHODS: Retrospective analysis of data from all the children who underwent MCS between 2002 and 2018 at a pediatric cardiology unit. RESULTS: Between 2002 and 2018, 22 devices were implanted in 20 patients. Patients were divided into three groups: Group A (n=11) extracorporeal membrane oxygenator (ECMO); Group B (n=8) pulsatile paracorporeal ventricular assist device (VAD) and group C (n=3) paracorporeal continuous flow VAD. The median age was similar in groups A and B (18 and 23 months, respectively), and higher in group C (13 years). ECMO patients were cannulated mainly as a bridge to recovery (post cardiotomy- 8) while group B and C patients were bridged to transplantation. The most frequent complications were bleeding (group A - 36%, group C - 66.6%) and thromboembolic events (group B - 50%, group C - 33.3%). As for outcomes, in group A the majority of patients (54.5%) were weaned and 27.3% died. Half of group B and all of group C patients underwent transplantation. CONCLUSION: Bleeding and thromboembolic events were the main complications observed. Group B showed the highest mortality, probably related to the low weight of the patients. Overall, outcomes and complications are related to the type of device and patient status and characteristics.

Long term follow-up of Marfan Syndrome - experience of an adult congenital heart disease centre.

BACKGROUND: Marfan Syndrome (MFS) is one of the most common connective tissue disorders. The aim of this study was to characterize an adult population with MFS and evaluate its long-term prognosis. METHODS: A retrospective analysis of adult patients with MFS followed up during the past 40 years in a tertiary congenital heart disease outpatient clinic was performed. Survival analysis was performed according to different parameters, and survival curves were compared using the log-rank test. RESULTS: A total of 62 MFS patients were followed up for a mean period of 12 years (47% male; mean age, 39 years). The baseline mean aortic root diameter (ARD) at the Valsalva sinus was 42.4 ± 10.3 mm, with 15% of patients having moderate-to-severe aortic regurgitation and seven patients with acute aortic syndrome. The Bentall procedure was the most commonly performed surgical technique, and five patients required re-operation. Of the 17 pregnancies, 29% developed fetal complications; however, there was no maternal morbidity or mortality. A total of ten deaths occurred at a mean age of 52 years. Patients with an ARD ≤ 45 mm had a significantly lower all-cause mortality rate than patients with 45 < ARD ≤ 50 mm or with ARD > 50 mm (P = 0.004 and P < 0.001, respectively). Heart failure symptoms were associated with a worse outcome (P = 0.041), while the presence of extracardiac involvement had a protective effect (P < 0.001). CONCLUSION: MFS-related aortopathy is associated with high morbidity rates. In the overall population, an ARD > 45 mm at the time of diagnosis was associated with higher mortality during follow-up.

HYBRID AORTIC ARCH SURGERY TO CREATE A LANDING ZONE IN THE ASCENDING AORTA.

INTRODUCTION: Thoracic Endovascular Aortic Repair (TEVAR) has enabled the treatment of aortic pathology that previously required open surgery, with higher morbidity and mortality. The need for a favorable landing zone (Lz), without compromising the patency of the supra-aortic vessels meant that Ishimaru Lz 2 was the most proximal technically feasible Lz. We developed a hybrid technique for the creation of a more proximal Lz in high risk patients - in the first stage, debranching/ rerouting of the supra-aortic vessels, with or without ascending aorta replacement, was performed; a few weeks later, a TEVAR with a LZ in the distal ascending aorta was performed. This technique allowed the avoidance of the more aggressive total arch and proximal descending aorta replacement (Elephant Trunk or Frozen Elephant Trunk - FET) in high risk patients. We reviewed all patients who underwent hybrid arch surgery in our Department to create a more proximal Lz that allowed safe TEVAR stent placement. From November 2007 to October 2019, 15 patients required hybrid surgery to achieve treatment - 9 by replacing the ascending aorta and debranching supra-aortic vessels and 6 by debranching and re-routing supra-aortic vessels to the native ascending aorta. All underwent computed tomography angiography within 30 days of surgery and had follow-up with annual appointments and imaging control. Patients average age was 65.5 (+/- 11.5) years, 73.3% being male. Average follow-up was 54.7 (+/- 46.2) months. The most common diagnosis was thoracic aortic aneurysm (66.7%), followed by chronic type B aortic dissection (20.0%), pen- etrating atherosclerotic ulcer (6.7%) and reintervention due to endoleak (EL, 6.7%). No in-hospital mortality was registered. ICU and hospital stay was 1.3 (0.8) days and 9.8 (10.3) days, respectively. Survival at 1- and 5- years was 84.6% and 65.8%, respectively. No EL was detected in 66.7% (n=10) of patients. Incidence of early EL was 20.0% (n=3), of which two-thirds had spontaneous resolution, and late EL was 13.3% (n=2). Endovascular reintervention was required in one patient. TEVAR in the context of hybrid surgery is associated with low morbidity and mortality, with a low incidence of EL and good early and long term survival.

Benchmarking in Congenital Heart Surgery Using Machine Learning-Derived Optimal Classification Trees.

Background: We have previously shown that the machine learning methodology of optimal classification trees (OCTs) can accurately predict risk after congenital heart surgery (CHS). We have now applied this methodology to define benchmarking standards after CHS, permitting case-adjusted hospital-specific performance evaluation. Methods: The European Congenital Heart Surgeons Association Congenital Database data subset (31 792 patients) who had undergone any of the 10 "benchmark procedure group" primary procedures were analyzed. OCT models were built predicting hospital mortality (HM), and prolonged postoperative mechanical ventilatory support time (MVST) or length of hospital stay (LOS), thereby establishing case-adjusted benchmarking standards reflecting the overall performance of all participating hospitals, designated as the "virtual hospital." These models were then used to predict individual hospitals' expected outcomes (both aggregate and, importantly, for risk-matched patient cohorts) for their own specific cases and case-mix, based on OCT analysis of aggregate data from the "virtual hospital." Results: The raw average rates were HM = 4.4%, MVST = 15.3%, and LOS = 15.5%. Of 64 participating centers, in comparison with each hospital's specific case-adjusted benchmark, 17.0% statistically (under 90% confidence intervals) overperformed and 26.4% underperformed with respect to the predicted outcomes for their own specific cases and case-mix. For MVST and LOS, overperformers were 34.0% and 26.4%, and underperformers were 28.3% and 43.4%, respectively. OCT analyses reveal hospital-specific patient cohorts of either overperformance or underperformance. Conclusions: OCT benchmarking analysis can assess hospital-specific case-adjusted performance after CHS, both overall and patient cohort-specific, serving as a tool for hospital self-assessment and quality improvement.

Quality of life among adults with repaired tetralogy of fallot: A literature review.

Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart defect. Survival into adulthood is currently expected following surgical repair, leading to a growing population of adults with repaired TOF. In this literature review, we aim to summarize the current state of knowledge on the quality of life of adults with repaired TOF. A search was conducted on PubMed and results were reviewed for articles published between January of 2010 and June of 2020. Search terms included "Tetralogy of Fallot", "repaired", "adults" and "quality of life". For the subjective health status evaluation, most published studies used Short-Form-36. Most studies agree that physical complex status is poorer for adult patients with repaired TOF than for controls. Mental complex status was also lower. Patients reported similar satisfaction with their lives and levels of social participation. Most patients had a college or university degree. Higher education, male gender and having a partner were positively associated with being employed. Studies found no difference in the proportion of patients that are married or living with a partner, compared to control groups. Patients operated for TOF have a lower reproduction rate compared with the background population. A consistent finding of these studies is abnormal physical parameters compared to psychosocial issues. The diverse needs of adults with repaired TOF require a multidisciplinary care, that takes into consideration all aspects that affect their quality of life. Despite abnormal physical functional status, it is reassuring that most adult patients with TOF lead independent and productive lives.

Combined lung-kidney transplantation: First case in Portugal.

A significant dysfunction of another organ is usually considered an absolute contraindication for lung transplantation, unless multiorgan transplantation is indicated and practical, as is the case of combined lung-kidney transplantation. Few cases of combined lung-kidney transplantation have been described in the literature; however, it is known that, in certain cases, it is the only way to offer an opportunity to selected patients with renal and lung dysfunction. The authors are not aware of any previously published case of a patient receiving both extracorporeal membrane oxygenation and continuous venovenous hemodiafiltration as a bridge for combined kidney-lung transplantation. The authors present the first case of combined lung-kidney transplantation performed in Portugal.

Current Status of Training and Certification for Congenital Heart Surgery Around the World: Proceedings of the Meetings of the Global Council on Education for Congenital Heart Surgery of the World Society for Pediatric and Congenital Heart Surgery.

The optimal training of the highly specialized congenital heart surgeon is a long and complex process, which is a significant challenge in most parts of the world. The World Society for Pediatric and Congenital Heart Surgery (WSPCHS) has established the Global Council on Education for Congenital Heart Surgery as a nonprofit organization with the goal of assessing current training and certification and ultimately establishing standardized criteria for the training, evaluation, and certification of congenital heart surgeons around the world. The Global Council and the WSPCHS have reviewed the present status of training and certification for congenital cardiac surgery around the world. There is currently lack of consensus and standardized criteria for training in congenital heart surgery, with significant disparity between continents and countries. This represents significant obstacles to international job mobility of competent congenital heart surgeons and to the efforts to improve the quality of care for patients with Congenital Heart Disease worldwide. The purpose of this article is to summarize and document the present state of training and certification in congenital heart surgery around the world.

Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach.

OBJECTIVE: Risk assessment tools typically used in congenital heart surgery (CHS) assume that various possible risk factors interact in a linear and additive fashion, an assumption that may not reflect reality. Using artificial intelligence techniques, we sought to develop nonlinear models for predicting outcomes in CHS. METHODS: We built machine learning (ML) models to predict mortality, postoperative mechanical ventilatory support time (MVST), and hospital length of stay (LOS) for patients who underwent CHS, based on data of more than 235,000 patients and 295,000 operations provided by the European Congenital Heart Surgeons Association Congenital Database. We used optimal classification trees (OCTs) methodology for its interpretability and accuracy, and compared to logistic regression and state-of-the-art ML methods (Random Forests, Gradient Boosting), reporting their area under the curve (AUC or c-statistic) for both training and testing data sets. RESULTS: Optimal classification trees achieve outstanding performance across all three models (mortality AUC = 0.86, prolonged MVST AUC = 0.85, prolonged LOS AUC = 0.82), while being intuitively interpretable. The most significant predictors of mortality are procedure, age, and weight, followed by days since previous admission and any general preoperative patient risk factors. CONCLUSIONS: The nonlinear ML-based models of OCTs are intuitively interpretable and provide superior predictive power. The associated risk calculator allows easy, accurate, and understandable estimation of individual patient risks, in the theoretical framework of the average performance of all centers represented in the database. This methodology has the potential to facilitate decision-making and resource optimization in CHS, enabling total quality management and precise benchmarking initiatives.

EMBOLIZATION OF PERCUTANEOUS LEFT ATRIAL APPENDAGE OCCLUSION DEVICE: RESCUE SURGERY.

59-year-old women with permanent atrial fibrillation and previous haemorrhagic stroke was admitted for percutaneous left atrial appendage occlusion. Shortly after, AmplatzerTM device migration into the left ventricular outflow tract was confirmed. Unsuccessful transcatheter mobilization led to an emergent surgery for device retrieval and LAA closure. No events at 6-month follow-up.

RIGHT VENTRICULAR MYXOMA IN AN ASYMPTOMATIC PATIENT.

Myxomas are the most common cardiac tumors; however right ventricular myxomas are very rare. We present the case of an asymptomatic 74 year old female with a right ventricular myxoma originating from the interventricular septum diagnosed during a routine echocardiographic examination. Initially the patient refused surgery due to being asymptomatic, but agreed to be operated two months later. Surgical removal was uneventful, as was the postoperative course. Histopathological analysis confirmed the suspected diagnosis of cardiac myxoma.

EXTRACORPOREAL MEMBRANE OXYGENATION SUPPORT FOR POSTCARDIOTOMY SHOCK: SINGLE CENTER EXPERIENCE.

OBJECTIVES: We aim to report our experience on venoarterial extracorporeal membrane oxygenation (VA-ECMO) for postcardiotomy shock (PCS). METHODS: Single center, retrospective study of all patients on VA-ECMO for PCS, from November 2006 to July 2019. Pediatric and adult patients were analysed separately. Primary outcomes were survival to discharge and one-year survival. RESULTS: Twenty-nine patients were included. Pediatric group (group PED) (62%, n=18): mean age 1,3±2,1 years and 39% male. Adults (group AD) (38%, n=11): mean age 55,6±15,9 years and 64% male. Indications in group PED were complex congenital heart surgery (94%) and heart transplant (6%), with 27% being reoperations; in group AD valvular surgery (45%), aortic surgery (21%), coronary artery bypass grafting (18%) and pulmonary endarterectomy (9%); 45% were reoperations. ECMO support was initiated intraoperatively due to failure to wean from cardiopulmonary bypass in 28% of group PED and 73% of group AD. Central cannulation was performed in all pediatric patients and 82% adults. Bleeding was the most common complication in both groups (group PED 39%, group AD 45%). Mean ECMO support time was respectively 6,2±4,9 and 6,2± 3,6 days for group PED and group AD. Weaning rate was 44% in group PED (with 2 patients bridged to LVAD) and 45% in group AD. Survival to discharge as well as one-year survival were both 28% in group PED and 18% in group AD. CONCLUSION: Despite low survival and high complication rates, VA ECMO support provides a survival benefit in refractory cases, with a dismal prognosis, that would otherwise die.