Thrombocytopenia Developed in Intensive Care Unit for Congenital Heart Disease: Incidence, Risk Factors, and Outcomes.

BACKGROUND: Thrombocytopenia is common for patients in the intensive care unit (ICU) and is associated with adverse outcomes. ICU thrombocytopenia in pediatric patients who underwent cardiac surgeries with cardiopulmonary bypass (CPB) is inadequately studied. OBJECTIVES: We aimed to investigate the incidence, risk factors, and prognostic role of ICU thrombocytopenia after congenital cardiac surgeries with CPB. METHODS: A retrospective study involving 11761 patients was conducted. Patients were categorized into four groups of thrombocytopenia based on platelet counts tested during ICU: non (> 150×109/L), mild (100-150×109/L), moderate (50-100×109/L), and severe (< 50×109/L). Logistic and Cox regression analyses were utilized to explore the risk factors of thrombocytopenia and the association of ICU thrombocytopenia with 30-day mortality. RESULTS: ICU thrombocytopenia was observed in 4007 patients (34.1%), with mild, moderate, and severe thrombocytopenia occurring in 2773 (23.6%), 987 (8.4%), and 247 (2.1%) patients, respectively. Younger age, cyanotic CHD, CPB duration, and preoperative laboratory findings (red blood cell, thrombocytopenia, red cell distribution width, hematocrit, coagulation disorder) were identified as independent risk factors of ICU thrombocytopenia. Patients with moderate [HR: 11.38 (3.02-42.87), p<0.001] and severe thrombocytopenia [HR: 49.54 (13.11-187.14), p<0.001] had a significantly higher risk of 30-day mortality. Furthermore, with the increase in the severity of ICU thrombocytopenia, there was an incremental increase in the incidence of postoperative critical bleeding and thrombosis, perioperative blood transfusions, length of ICU stays, and duration of mechanical ventilation. CONCLUSIONS: ICU thrombocytopenia occurred in one-third of children after congenital cardiac surgery with CPB, and it was associated with multiple adverse outcomes.

Predictive value of NT-proBNP and hs-TnT for outcomes after pediatric congenital cardiac surgery.

BACKGROUND: The available evidence regarding the predictive value of troponins and natriuretic peptides for early postoperative outcomes in pediatrics is limited, controversial, and based on small sample sizes. The authors aimed to investigate the association of N-terminal pro B-type natriuretic peptide (NT-proBNP) and high-sensitivity troponin T (hs-TnT) with the in-hospital adverse outcomes after congenital cardiac surgeries. METHODS: A secondary analysis based on a prospective study of pediatric congenital heart disease (CHD) patients was conducted to investigate the association of NT-proBNP and hs-TnT tested within 6 h postoperatively with in-hospital adverse events. A multivariate logistic regression analysis with a minimum P value approach was used to identify the optimal thresholds of NT-proBNP and hs-TnT for risk stratification. RESULTS: NT-proBNP and hs-TnT are positively correlated with cardiopulmonary bypass time, mechanical ventilation duration, and pediatric intensive care unit stay. The predictive performance of NT-proBNP is excellent for adverse events in both patients younger than 1 year [area under the curve (AUC): 0.771, 0.693-0.850] and those older than 1 year (AUC: 0.839, 0.757-0.922). However, hs-TnT exhibited a satisfactory predictive value solely in patients aged over 1 year. (AUC: 0.784, 0.717-0.852). NT-proBNP levels of 2000-10 000 ng/l [odds ratio (OR): 3.79, 1.47-9.76] and exceeding 10 000 ng/l (OR: 12.21, 3.66-40.80) were associated with a higher risk of postoperative adverse events in patients younger than 1 year. Patients older than 1 year, with NT-proBNP higher than 500 ng/l (OR: 15.09, 6.05-37.66) or hs-TnT higher than 1200 ng/l (OR: 5.50, 1.47-20.59), had a higher incidence of postoperative adverse events. CONCLUSIONS: NT-proBNP and hs-TnT tested within postoperative 6 h demonstrated significant predictive value for postoperative adverse events in CHD patients older than 1 year. However, among CHD patients younger than 1 year, only NT-proBNP exhibited commendable predictive performance for postoperative adverse events.

Resolving the heterogeneous tumour microenvironment in cardiac myxoma through single-cell and spatial transcriptomics.

BACKGROUND: Cardiac myxoma (CM) is the most common (58%-80%) type of primary cardiac tumours. Currently, there is a need to develop medical therapies, especially for patients not physically suitable for surgeries. However, the mechanisms that shape the tumour microenvironment (TME) in CM remain largely unknown, which impedes the development of targeted therapies. Here, we aimed to dissect the TME in CM at single-cell and spatial resolution. METHODS: We performed single-cell transcriptomic sequencing and Visium CytAssist spatial transcriptomic (ST) assays on tumour samples from patients with CM. A comprehensive analysis was performed, including unsupervised clustering, RNA velocity, clonal substructure inference of tumour cells and cell-cell communication. RESULTS: Unsupervised clustering of 34 759 cells identified 12 clusters, which were assigned to endothelial cells (ECs), mesenchymal stroma cells (MSCs), and tumour-infiltrating immune cells. Myxoma tumour cells were found to encompass two closely related phenotypic states, namely, EC-like tumour cells (ETCs) and MSC-like tumour cells (MTCs). According to RNA velocity, our findings suggest that ETCs may be directly differentiated from MTCs. The immune microenvironment of CM was found to contain multiple factors that promote immune suppression and evasion, underscoring the potential of using immunotherapies as a treatment option. Hyperactive signals sent primarily by tumour cells were identified, such as MDK, HGF, chemerin, and GDF15 signalling. Finally, the ST assay uncovered spatial features of the subclusters, proximal cell-cell communication, and clonal evolution of myxoma tumour cells. CONCLUSIONS: Our study presents the first comprehensive characterisation of the TME in CM at both single-cell and spatial resolution. Our study provides novel insight into the differentiation of myxoma tumour cells and advance our understanding of the TME in CM. Given the rarity of cardiac tumours, our study provides invaluable datasets and promotes the development of medical therapies for CM.

Failure to thrive in pediatric patients with congenital heart disease: a cross-sectional study of 13,256 patients.

Background: The prevalence and risk factors for failure to thrive (FTT) in pediatric patients with congenital heart disease (CHD) remain ambiguous. We aimed to investigate the prevalence, growth profiles, risk factors, and vulnerable subtypes of CHD associated with FTT in pediatric patients with CHD. Methods: This was a cross-sectional study based on Chinese Database for Congenital Heart Surgery. FTT was defined as either stunting or underweight (height or weight standard deviation score <-2), and they were standardized by references of normal Chinese population. Risk factors was determined with logistic regression model, and growth profiles were delineated in each subgroup. Findings: A total of 13,256 CHD patients were included in this study, with 3994 patients of mild CHD, 7195 patients of moderate CHD and 2067 patients of complex CHD. The prevalence of stunting, underweight and FTT was 24%, 29.3% and 36.9%, respectively. Preoperative anaemia, left ventricle systolic dysfunction, younger age, more complex CHD types, lower birth weight and genetic syndrome were found to be the risk factors for FTT in CHD patients. Interrupted aortic arch was revealed to be the most severe group associated with FTT. Interpretation: FTT is ubiquitous in patients with CHD and exacerbated in high-risk subgroups. Our findings hinted the necessity of early identification and intervention for FTT in patients with CHD during daily practice of pediatrics, as it has the potential to improve outcomes and enhance their quality of life. Furthermore, we advocate for the initiation of prospective research with longitudinal data to comprehensively investigate the association between FTT and CHD across the lifespan. Funding: This study was supported by National High Level Hospital Research Funding (2022-GSP-GG-19), Capital Health Research and Development of Special Fund (2022-1-4032) and National Key R&D Program of China (2022YFC3600202 and 2022YFC3600203).

Corrigendum to "Inpatient costs of congenital heart surgery in China: results from the National Centre for Cardiovascular Diseases" [The Lancet Regional Health - Western Pacific 2023; 31:100623].

[This corrects the article DOI: 10.1016/j.lanwpc.2022.100623.].

Inpatient costs of congenital heart surgery in China: results from the National Centre for Cardiovascular Diseases.

Background: Economic data on congenital heart disease (CHD) in China are scarce. Therefore, this study aimed to explore the inpatient costs of congenital heart surgery and related healthcare policies from a hospital perspective. Method: We used data from the Chinese Database for Congenital Heart Surgery (CDCHS) to prospectively analyse the inpatient costs of congenital heart surgery from May 2018 to December 2020. The total expenditure was divided into 11 columns (medications, imaging, consumable items, surgery, medical cares, laboratory tests, therapy, examinations, medical services, accommodations, and others), and explored according to the Society of Thoracic Surgeons-European Association for Cardio-Thoracic Surgery (STAT) category, year, different age group, and CHD complexity. Authority economic data (index for gross domestic product [GDP], GDP per capita, per capita disposable income and average annual exchange rate of 2020 Chinese Yuan against US dollar) were accessed via the National Bureau of Statistics of China to better describe the burden. In addition, potential factors contributing to the costs were also investigated by using generalised linear model. Findings: All values are presented in 2020 Chinese Yuan (¥). A total of 6568 hospitalisations were enrolled. The median of overall total expenditure was ¥64,900 (≈9409 US Dollar [USD], interquartile range [IQR]: ¥35,819), with the lowest in STAT 1 (¥57,014 ≈ 8266 USD, [IQR]: ¥16,774) and the highest in STAT 5 (¥194,862 ≈ 28,251 USD, [IQR]: ¥130,010). The median costs during the 2018 to 2020 period were ¥62,014 (≈8991 USD, [IQR]: ¥32,628), ¥64,846 (≈9401 USD, [IQR]: ¥34,469) and ¥67,867 (≈9839 USD, [IQR]: ¥41,496). Regarding to age, the median costs were highest in the ≤1 month group (¥144,380 ≈ 20,932 USD, [IQR]: ¥92,584). Age, STAT category, emergency, genetic syndrome, delay sternal closure, mechanical ventilation time, and complications were significantly contributed to the inpatient costs. Interpretation: For the first time, the inpatient costs of congenital heart surgery in China are delineated in detail. According to the results, CHD treatment has achieved significant progress in China, but it still causes substantial economic burden to both families and society. In addition, ascending trend of the inpatient costs was observed during the period of 2018-2020, and the neonatal was revealed to be the most challenging group. Funding: This study was supported by the CAMS Innovation Fund for Medical Sciences (CIFMS,2020-I2M-C&T-A-009), Capital Health Research and Development of Special Fund (2022-1-4032), and The City University of Hong Kong New Research Initiatives/Infrastructure Support from Central (APRC, 9610589).

Molecular characterization and clinical investigation of patients with heritable thoracic aortic aneurysm and dissection.

OBJECTIVES: Thoracic aortic aneurysm and dissection has a genetic predisposition and a variety of clinical manifestations. This study aimed to investigate the clinical and molecular characterizations of patients with thoracic aortic aneurysm and dissection and further explore the relationship between the genotype and phenotype, as well as their postoperative outcomes. METHODS: A total of 1095 individuals with thoracic aortic aneurysm and dissection admitted to our hospital between 2013 and 2022 were included. Next-generation sequencing and multiplex ligation-dependent probe amplification were performed, and mosaicism analysis was additionally implemented to identify the genetic causes. RESULTS: A total of 376 causative variants were identified in 83.5% of patients with syndromic thoracic aortic aneurysm and dissection and 18.7% of patients with nonsyndromic thoracic aortic aneurysm and dissection, including 8 copy number variations and 2 mosaic variants. Patients in the "pathogenic" and "variant of uncertain significance" groups had younger ages of aortic events and higher aortic reintervention risks compared with genetically negative cases. In addition, patients with FBN1 haploinsufficiency variants had shorter reintervention-free survival than those with FBN1 dominant negative variants. CONCLUSIONS: Our data expanded the genetic spectrum of heritable thoracic aortic aneurysm and dissection and indicated that copy number variations and mosaic variants contributed to a small proportion of the disease-causing alterations. Moreover, positive genetic results might have a possible predictive value for aortic event severity and postoperative risk stratification.

CHDbase: A Comprehensive Knowledgebase for Congenital Heart Disease-related Genes and Clinical Manifestations.

Congenital heart disease (CHD) is one of themost common causes of major birth defects, with a prevalence of 1%. Although an increasing number of studies have reported the etiology of CHD, the findings scattered throughout the literature are difficult to retrieve and utilize in research and clinical practice. We therefore developed CHDbase, an evidence-based knowledgebase of CHD-related genes and clinical manifestations manually curated from 1114 publications, linking 1124susceptibility genes and 3591 variations to more than 300 CHD types and related syndromes. Metadata such as the information of each publication and the selected population and samples, the strategy of studies, and the major findings of studies were integrated with each item of the research record. We also integrated functional annotations through parsing ∼ 50 databases/tools to facilitate the interpretation of these genes and variations in disease pathogenicity. We further prioritized the significance of these CHD-related genes with a gene interaction network approach and extracted a core CHD sub-network with 163 genes. The clear genetic landscape of CHD enables the phenotype classification based on the shared genetic origin. Overall, CHDbase provides a comprehensive and freely available resource to study CHD susceptibilities, supporting a wide range of users in the scientific and medical communities. CHDbase is accessible at http://chddb.fwgenetics.org.

HTAADVar: Aggregation and fully automated clinical interpretation of genetic variants in heritable thoracic aortic aneurysm and dissection.

PURPOSE: Early detection and pathogenicity interpretation of disease-associated variants are crucial but challenging in molecular diagnosis, especially for insidious and life-threatening diseases, such as heritable thoracic aortic aneurysm and dissection (HTAAD). In this study, we developed HTAADVar, an unbiased and fully automated system for the molecular diagnosis of HTAAD. METHODS: We developed HTAADVar (http://htaadvar.fwgenetics.org) under the American College of Medical Genetics and Genomics/Association for Molecular Pathology framework, with optimizations based on disease- and gene-specific knowledge, expert panel recommendations, and variant observations. HTAADVar provides variant interpretation with a self-built database through the web server and the stand-alone programs. RESULTS: We constructed an expert-reviewed database by integrating 4373 variants in HTAAD genes, with comprehensive metadata curated from 697 publications and an in-house study of 790 patients. We further developed an interpretation system to assess variants automatically. Notably, HTAADVar showed a multifold increase in performance compared with public tools, reaching a sensitivity of 92.64% and specificity of 70.83%. The molecular diagnostic yield of HTAADVar among 790 patients (42.03%) also matched the clinical data, independently demonstrating its good performance in clinical application. CONCLUSION: HTAADVar represents the first fully automated system for accurate variant interpretation for HTAAD. The framework of HTAADVar could also be generalized for the molecular diagnosis of other genetic diseases.

Calculation Model of Regional Economic Growth Efficiency by Intelligently Optimized Interunit Layout.

With the development of the economy, especially since the reform and opening up, the actual conditions that China's economic development faces have also changed, and the development goals have also been adjusted accordingly. However, since the reform and opening up, China's economy has still largely relied on the extended reproduction of the extension type. It basically develops along a high-input, low-efficiency path. The effectiveness of regional economic development has always been one of the most important debates in economics, and it has attracted great attention in different countries and regions around the world. So far, people have conducted a lot of theoretical and practical research on the effectiveness of regional development and put forward many practical countermeasures. However, it has achieved little in practice, and the original form of high growth and low efficiency has not been effectively reversed. In this paper, economic development is divided into two parts. The first part consists of the impact of changes in the quantity of factors of production on economic growth and the impact of the efficiency of economic growth on the entire economy. The second part consists of the annual average efficiency of economic growth. The average annual contribution of various production factors to economic growth and the economic growth efficiency of changes in the allocation of capital industries were 6.21%, 5.02%, 4.05%, 3.9%, and 3.3%, respectively in the past five years.

Human phenotype ontology annotation and cluster analysis for pulmonary atresia to unravel clinical outcomes.

Background: Pulmonary atresia (PA) is a heterogeneous congenital heart defect and ventricular septal defect (VSD) is the most vital factor for the conventional classification of PA patients. The simple dichotomy could not fully describe the cardiac morphologies and pathophysiology in such a complex disease. We utilized the Human Phenotype Ontology (HPO) database to explore the phenotypic patterns of PA and the phenotypic influence on prognosis. Methods: We recruited 786 patients with diagnoses of PA between 2008 and 2016 at Fuwai Hospital. According to cardiovascular phenotypes of patients, we retrieved 52 HPO terms for further analyses. The patients were classified into three clusters based on unsupervised hierarchical clustering. We used Kaplan-Meier curves to estimate survival, the log-rank test to compare survival between clusters, and univariate and multivariate Cox proportional hazards regression modeling to investigate potential risk factors. Results: According to HPO term distribution, we observed significant differences of morphological abnormalities in 3 clusters. We defined cluster 1 as being associated with Tetralogy of Fallot (TOF), VSD, right ventricular hypertrophy (RVH), and aortopulmonary collateral arteries (ACA). ACA was not included in the cluster classification because it was not an HPO term. Cluster 2 was associated with hypoplastic right heart (HRH), atrial septal defect (ASD) and tricuspid disease as the main morphological abnormalities. Cluster 3 presented higher frequency of single ventricle (SV), dextrocardia, and common atrium (CA). The mortality rate in cluster 1 was significantly lower than the rates in cluster 2 and 3 (p = 0.04). Multivariable analysis revealed that abnormal atrioventricular connection (AAC, p = 0.011) and persistent left superior vena cava (LSVC, p = 0.003) were associated with an increased risk of mortality. Conclusions: Our study reported a large cohort with clinical phenotypic, surgical strategy and long time follow-up. In addition, we provided a precise classification and successfully risk stratification for patients with PA.

Deep Phenotypic Analysis for Transposition of the Great Arteries and Prognosis Implication.

Background Transposition of the great arteries (TGA) consists of about 3% of all congenital heart diseases and 20% of cyanotic congenital heart diseases. It is always accompanied by a series of other cardiac malformations that affect the surgical intervention strategy as well as prognosis. In this study, we comprehensively analyzed the phenotypes of the patients who had TGA with concordant atrioventricular and discordant ventriculoarterial connections and explored their association with prognosis. Methods and Results We retrospectively reviewed 666 patients with a diagnosis of TGA with concordant atrioventricular and discordant ventriculoarterial connections in Fuwai Hospital from 1997 to 2019. Under the guidance of the Human Phenotype Ontology database, patients were classified into 3 clusters. The Kaplan-Meier method was used to analyze the prognosis, and the Cox proportional regression model was used to investigate the risk factors. In this 666-patient TGA cohort, the overall 5-year survival rate was 94.70% (92.95%-96.49%). Three clusters with distinct phenotypes were obtained by the Human Phenotype Ontology database. Kaplan-Meier analysis revealed a significant difference in freedom from reintervention among 3 clusters (P<0.001). To eliminate the effect of surgeries, we analyzed patients who only received an arterial switch operation and still found a significant difference in reintervention (P=0.019). Conclusions We delineated a big cardiovascular phenotypic profile of an unprecedentedly large TGA cohort and successfully risk stratified them to reveal prognostic significance. Also, we reported the outcomes of a large TGA population in China.

Association of PLXND1 with a novel subtype of anomalous pulmonary venous return.

Anomalous pulmonary venous return (APVR) is a potentially lethal congenital heart disease. Elucidating the genetic etiology is crucial for understanding its pathogenesis and improving clinical practice, whereas its genetic basis remains largely unknown because of complex genetic etiology. We thus performed whole-exome sequencing for 144 APVR patients and 1636 healthy controls and report a comprehensive atlas of APVR-related rare genetic variants. Novel singleton, loss-of-function and deleterious missense variants (DVars) were enriched in patients, particularly for genes highly expressed in the developing human heart at the critical time point for pulmonary veins draining into the left atrium. Notably, PLXND1, encoding a receptor for semaphorins, represents a strong candidate gene of APVR (adjusted P = 1.1e-03, odds ratio: 10.9-69.3), accounting for 4.17% of APVR. We further validated this finding in an independent cohort consisting of 82 case-control pairs. In these two cohorts, eight DVars were identified in different patients, which convergently disrupt the GTPase-activating protein-related domain of PLXND1. All variant carriers displayed strikingly similar clinical features, in that all anomalous drainage of pulmonary vein(s) occurred on the right side and incorrectly connected to the right atrium, which may represent a novel subtype of APVR for molecular diagnosis. Studies in Plxnd1 knockout mice further revealed the effects of PLXND1 deficiency on severe heart and lung defects and cellular abnormalities related to APVR such as abnormal migration and vascular formation of vascular endothelial cells. These findings indicate the important role of PLXND1 in APVR pathogenesis, providing novel insights into the genetic etiology and molecular subtyping for APVR.

Single-cell transcriptomic landscape of cardiac neural crest cell derivatives during development.

The migratory cardiac neural crest cells (CNCCs) contribute greatly to cardiovascular development. A thorough understanding of the cell lineages, developmental chronology, and transcriptomic states of CNCC derivatives during normal development is essential for deciphering the pathogenesis of CNCC-associated congenital anomalies. Here, we perform single-cell transcriptomic sequencing of 34,131 CNCC-derived cells in mouse hearts covering eight developmental stages between E10.5 and P7. We report the presence of CNCC-derived mural cells that comprise pericytes and microvascular smooth muscle cells (mVSMCs). Furthermore, we identify the transition from the CNCC-derived pericytes to mVSMCs and the key regulators over the transition. In addition, our data support that many CNCC derivatives had already committed or differentiated to a specific lineage when migrating into the heart. We explore the spatial distribution of some critical CNCC-derived subpopulations with single-molecule fluorescence in situ hybridization. Finally, we computationally reconstruct the differentiation path and regulatory dynamics of CNCC derivatives. Our study provides novel insights into the cell lineages, developmental chronology, and regulatory dynamics of CNCC derivatives during development.

Cardiovascular Phenotypes Profiling for L-Transposition of the Great Arteries and Prognosis Analysis.

OBJECTIVES: Congenitally corrected transposition of the great arteries (ccTGA) is a rare and complex congenital heart disease with the characteristics of double discordance. Enormous co-existed anomalies are the culprit of prognosis evaluation and clinical decision. We aim at delineating a novel ccTGA clustering modality under human phenotype ontology (HPO) instruction and elucidating the relationship between phenotypes and prognosis in patients with ccTGA. METHODS: A retrospective review of 270 patients diagnosed with ccTGA in Fuwai hospital from 2009 to 2020 and cross-sectional follow-up were performed. HPO-instructed clustering method was administered in ccTGA risk stratification. Kaplan-Meier survival, Landmark analysis, and cox regression analysis were used to investigate the difference of outcomes among clusters. RESULTS: The median follow-up time was 4.29 (2.07-7.37) years. A total of three distinct phenotypic clusters were obtained after HPO-instructed clustering with 21 in cluster 1, 136 in cluster 2, and 113 in cluster 3. Landmark analysis revealed significantly worse mid-term outcomes in all-cause mortality (p = 0.021) and composite endpoints (p = 0.004) of cluster 3 in comparison with cluster 1 and cluster 2. Multivariate analysis indicated that pulmonary arterial hypertension (PAH), atrioventricular septal defect (AVSD), and arrhythmia were risk factors for composite endpoints. Moreover, the surgical treatment was significantly different among the three groups (p < 0.001) and surgical strategies had different effects on the prognosis of the different phenotypic clusters. CONCLUSIONS: Human phenotype ontology-instructed clustering can be a potentially powerful tool for phenotypic risk stratification in patients with complex congenital heart diseases, which may improve prognosis prediction and clinical decision.