Are outcomes in congenital cardiac surgery better than ever?

Thoracic sarcopenia as a comorbidity-independent predictor of length of stay in congenital cardiac surgery

Objective

Thoracic sarcopenia, as shown by reduced thoracic skeletal muscle volume (TSMV) on imaging, predicts adverse outcomes after surgery in other patient populations. We sought to ascertain whether a decrease in the thoracic muscle volume serves as a prognostic indicator for postoperative morbidity and mortality in patients undergoing surgery for congenital cardiac anomalies.

Methods

All consecutive patients who underwent an index congenital cardiac operation were retrospectively analyzed. Chest cross-sectional imaging within 6 months preoperatively was identified. The TSMV was calculated at the T6 to T10 thoracic vertebrae level. Patients were stratified into high and low muscle groups using the median of muscle cross-sectional volume.

Results

101 patients were included. Those with low TSMV were more likely to be less than one year old, had lower body weight, and had more preoperative comorbidities than those with high thoracic muscle volume. In univariate analysis, patients with low TSMV had a longer hospital length of stay (LOS) (10 vs. 7 days, p = 0.01) and more risk of hospital mortality (10.2% vs. 0%, p = 0.024). In the multivariable models, low thoracic volume showed no clear association with overall complications, cardiopulmonary complications, or intubation duration. Higher TSMV did predict a shorter LOS (MD per 10,000 mm3 increase: -70.7 days, CI -12.7 - -1.4, P = 0.01).

Conclusions

Our findings indicate that thoracic sarcopenia holds an association with LOS and mortality in patients undergoing surgery for congenital cardiac anomalies. As such, thoracic sarcopenia merits consideration as a potential risk factor in the preoperative assessment of patients presenting for congenital cardiac surgical interventions.

2025 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2025 AHA Statistical Update is the product of a full year's worth of effort in 2024 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. This year's edition includes a continued focus on health equity across several key domains and enhanced global data that reflect improved methods and incorporation of ≈3000 new data sources since last year's Statistical Update.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Provider Perceptions of Outcomes in the Pediatric Cardiac Intensive Care Unit

In the pediatric cardiac intensive care unit (PCICU), predicting the complications and long-term impact of extracorporeal membrane oxygenation (ECMO) and cardiopulmonary resuscitation (CPR) is influenced by the providers' perceptions. Little is understood about such perceptions as they relate to provider role and experience. A multi-disciplinary group in the PCICU of a single center was surveyed regarding two patient scenarios: (1) ECMO after cardiac surgery, and (2) cardiac arrest with need for CPR. Respondents indicated their risk tolerance for potential complications of these interventions, and the impact on patient health-related quality of life (HRQoL). Responses were compared based on providers' role and experience. 101 providers were surveyed and were willing to tolerate a 50% risk of death with ECMO or continued CPR but had less tolerance for the risk of other long-term morbidities. For most potential complications, nurses had the lowest risk tolerance and attending physicians the highest. Provider experience had no impact on risk tolerance. All providers underestimated HRQoL scores compared to previously published scores of patients who survived the surveyed scenarios. This survey is one of the first to explore providers' perceptions of ECMO and CPR. PCICU providers are more willing to accept the risk of death than other morbid complications, and poorly predict HRQoL outcomes. Team members have varied risk tolerance for complications and predict their impact differently. Understanding the variability of and influences on perceptions of patient outcomes could help improve communication with patients and families, team dynamics, and decision-making in the PCICU.

Statistical process monitoring creates a hemodynamic trajectory map after pediatric cardiac surgery: A case study of the arterial switch operation

Postoperative critical care management of congenital heart disease patients requires prompt intervention when the patient deviates significantly from clinician-determined vital sign and hemodynamic goals. Current monitoring systems only allow for static thresholds to be set on individual variables, despite the expectations that these signals change as the patient recovers and that variables interact. To address this incongruency, we have employed statistical process monitoring (SPM) techniques originally developed to monitor batch industrial processes to monitor high-frequency vital sign and hemodynamic data to establish multivariate trajectory maps for patients with d-transposition of the great arteries following the arterial switch operation. In addition to providing multivariate trajectory maps, the multivariate control charts produced by the SPM framework allow for assessment of adherence to the desired trajectory at each time point as the data is collected. Control charts based on slow feature analysis were compared with those based on principal component analysis. Alarms generated by the multivariate control charts are discussed in the context of the available clinical documentation.

A Comparison for Infantile Mortality of Crucial Congenital Heart Defects in Korea over a Five-Year Period

Background: Nearly half of congenital heart defects (CHDs) related to mortality occur during infancy although advancements in treatments have increased the survival rates. This study comprehensively examined overall and surgical mortality in CHD infants with the highest mortality rates in an effort to improve our understanding of CHD epidemiology. Methods: Participants were drawn from a dataset of 1,964,691 infants born between 2014 and 2018 in Korea. Crucial CHDs are defined here as including diverse categorical defects and classical critical CHDs but excluding simple shunt defects. Overall mortality (procedural and natural mortality) and procedural mortality (interventional and surgical mortality) for infants were analyzed. Results: The performance rate for multiple procedures in infants with crucial CHDs was 16%. The overall and surgical mortalities of crucial CHDs were 8% and 7%. The mortalities of palliative procedures were relatively high. Procedural mortalities for infants were significantly decreased in the tetralogy of Fallot (TOF), atrioventricular septal defects, and total anomalous pulmonary venous return (TAPVR) compared with overall mortalities for infants. Surgical mortalities for infants involving TOF and TAPVR were significantly lower, but those for infants involving hypoplastic left heart syndrome (HLHS) were higher than those for all ages. Conclusions: Palliative procedural techniques in infants must be improved to obtain better outcomes, particularly in the palliative surgery of HLHS. The infantile procedural outcomes for TOF and TAPVR are excellent and important in order to overcome disastrous circumstances during infancy. This comprehensive study of the overall and procedural mortalities of CHDs may have laid a cornerstone for CHD epidemiology in Korean infants.

2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association

BACKGROUND

The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.

Biogenic polymer-based patches for congenital cardiac surgery: a feasibility study

Objective

Currently used patch materials in congenital cardiac surgery do not grow, renew, or remodel. Patch calcification occurs more rapidly in pediatric patients eventually leading to reoperations. Bacterial cellulose (BC) as a biogenic polymer offers high tensile strength, biocompatibility, and hemocompatibility. Thus, we further investigated the biomechanical properties of BC for use as patch material.

Methods

The BC-producing bacteria Acetobacter xylinum were cultured in different environments to investigate optimal culturing conditions. For mechanical characterization, an established method of inflation for biaxial testing was used. The applied static pressure and deflection height of the BC patch were measured. Furthermore, a displacement and strain distribution analysis was performed and compared to a standard xenograft pericardial patch.

Results

The examination of the culturing conditions revealed that the BC became homogenous and stable when cultivated at 29°C, 60% oxygen concentration, and culturing medium exchange every third day for a total culturing period of 12 days. The estimated elastic modulus of the BC patches ranged from 200 to 530 MPa compared to 230 MPa for the pericardial patch. The strain distributions, calculated from preloaded (2 mmHg) to 80 mmHg inflation, show BC patch strains ranging between 0.6% and 4%, which was comparable to the pericardial patch. However, the pressure at rupture and peak deflection height varied greatly, ranging from 67 to around 200 mmHg and 0.96 to 5.28 mm, respectively. The same patch thickness does not automatically result in the same material properties indicating that the manufacturing conditions have a significant impact on durability.

Conclusions

BC patches can achieve comparable results to pericardial patches in terms of strain behavior as well as in the maximum applied pressure that can be withstood without rupture. Bacterial cellulose patches could be a promising material worth further research.

A deep learning-based method for pediatric congenital heart disease detection with seven standard views in echocardiography

Background

With the aggregation of clinical data and the evolution of computational resources, artificial intelligence-based methods have become possible to facilitate clinical diagnosis. For congenital heart disease (CHD) detection, recent deep learning-based methods tend to achieve classification with few views or even a single view. Due to the complexity of CHD, the input images for the deep learning model should cover as many anatomical structures of the heart as possible to enhance the accuracy and robustness of the algorithm. In this paper, we first propose a deep learning method based on seven views for CHD classification and then validate it with clinical data, the results of which show the competitiveness of our approach.

Methods

A total of 1411 children admitted to the Children's Hospital of Zhejiang University School of Medicine were selected, and their echocardiographic videos were obtained. Then, seven standard views were selected from each video, which were used as the input to the deep learning model to obtain the final result after training, validation and testing.

Results

In the test set, when a reasonable type of image was input, the area under the curve (AUC) value could reach 0.91, and the accuracy could reach 92.3%. During the experiment, shear transformation was used as interference to test the infection resistance of our method. As long as appropriate data were input, the above experimental results would not fluctuate obviously even if artificial interference was applied.

Conclusions

These results indicate that the deep learning model based on the seven standard echocardiographic views can effectively detect CHD in children, and this approach has considerable value in practical application.

Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association

BACKGROUND

The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

METHODS

The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains.

RESULTS

Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics.

CONCLUSIONS

The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.