Blood flow dynamics in the ascending aorta of patients with bicuspid aortic valve before and after transcatheter aortic valve replacement: a computational fluid dynamics study.

Background: Abnormal blood flow patterns are known to contribute to the ascending aortic dilation in patients with bicuspid aortic valve (BAV). The present study elucidated the blood flow characteristics in the dilated ascending aorta before and after transcatheter aortic valve replacement (TAVR) using computational fluid dynamics (CFD) analysis.

Methods: We performed CFD analysis in three BAV patients with ascending aortic dilation (maximum diameter ≥ 45 mm) who underwent TAVR.

Analysis and prediction of research hotspots and trends in heart failure research.

Background And Objectives: Comprehensive data analyses in heart failure research can provide academics with information and help policymakers formulate relevant policies. We collected data from reports published between 1945 and 2021 to identify research topics, trends, and cross-domains in the heart failure disease literature.

Methods: Text fragments were extracted and clustered from the titles and abstracts in 270617 publications using artificial intelligence techniques.

Mediation effect of gut microbiota on the relationship between physical activity and carotid plaque.

Background: Physical activity has been shown to have an effect on Carotid plaque (CP) which is a predictor of Cardiovascular disease (CVD). Studies have shown that physical activity can alter the composition of gut microbiota, whether its influence on CP was mediated by gut microbiota has yet to be proved.

Methods: We conducted a case-control study involving 30 CP patients and 31 controls.

Transcatheter closure of multiple coronary artery fistulas: a coronary computed tomography angiography-based anatomic classification.

Introduction And Objectives: This study aimed to retrospectively analyze the anatomical characteristics and classification of multiple coronary artery fistulas (MCAFs), and to compare the outcomes of transcatheter closure between MCAFs and single fistulas.

Methods: All patients who underwent attempts at transcatheter closure of coronary artery fistulas (CAFs) at Fuwai Hospital from 2010 to 2023 were retrospectively reviewed. Patients were categorized into single fistula and MCAFs groups, and anatomical characteristics and transcatheter closure outcomes were compared between the 2 groups.

Global trends in heart failure from 1990 to 2019: An age-period-cohort analysis from the Global Burden of Disease study.

Aims: This study aimed to analyse the global prevalence and disability trends of heart failure (HF) from 1990 to 2019, considering both sexes and country-specific economic strata.

Methods: This study conducted a secondary analysis employing data from the Global Burden of Disease (GBD) study. The analysis is stratified by sex and Socio-demographic Index (SDI) levels.

Transcatheter aortic valve replacement in patients with preoperative ascending aortic diameter ≥45 mm.

Background: Current indication for concomitant replacement of ascending aorta (AA) in patients undergoing surgical aortic valve replacement is that AA diameter exceeds 45 mm. However, the impact of AA dilation (≥45 mm) in patients undergoing transcatheter aortic valve replacement (TAVR) remains unclear.

Methods: We retrospectively evaluated 467 consecutive patients who underwent transfemoral TAVR from January 2016 to April 2021.

Study design and rationale of COMPETE: Comparison of the effect of medication therapy in alleviating migraine with patent foramen ovale.

Background: Previous studies have examined the impact of antithrombotic agents on Patent Foramen Ovale (PFO) in relation to migraine. However, differences in effectiveness of different antithrombotic agents and traditional migraine medications are not known.

Methods/design: This study is an investigator-initiated, randomized, multicenter, single-masked (outcomes assessor), and active-controlled parallel-group trial (ClinicalTrials.

Noncontact remote sensing of abnormal blood pressure using a deep neural network: a novel approach for hypertension screening.

Background: As the global burden of hypertension continues to increase, early diagnosis and treatment play an increasingly important role in improving the prognosis of patients. In this study, we developed and evaluated a method for predicting abnormally high blood pressure (HBP) from infrared (upper body) remote thermograms using a deep learning (DL) model.

Methods: The data used in this cross-sectional study were drawn from a coronavirus disease 2019 (COVID-19) pilot cohort study comprising data from 252 volunteers recruited from 22 July to 4 September 2020.

The effects of weight loss and improved metabolic health status on the risk of non-alcoholic fatty liver disease-results from a prospective cohort in China.

Background: The impact of weight loss and/or improved metabolic status on the risk of non-alcoholic fatty liver disease (NAFLD) has yet to be determined.

Methods: A total of 35,322 participants without NAFLD were followed. NAFLD risk was compared between consistently metabolically healthy non-obese (MHNO) and non-MHNO who lost weight to become non-obese and/or improved their metabolic health, using Cox proportional hazards and logistic regression models.

A generalized deep learning model for heart failure diagnosis using dynamic and static ultrasound.

Objective: Echocardiography (ECG) is the most common method used to diagnose heart failure (HF). However, its accuracy relies on the experience of the operator. Additionally, the video format of the data makes it challenging for patients to bring them to referrals and reexaminations.

Biodegradable Cardiac Occluder with Surface Modification by Gelatin-Peptide Conjugate to Promote Endogenous Tissue Regeneration.

Transcatheter intervention has been the preferred treatment for congenital structural heart diseases by implanting occluders into the heart defect site through minimally invasive access. Biodegradable polymers provide a promising alternative for cardiovascular implants by conferring therapeutic function and eliminating long-term complications, but inducing in situ cardiac tissue regeneration remains a substantial clinical challenge. PGAG (polydioxanone/poly (l-lactic acid)-gelatin-A5G81) occluders are prepared by covalently conjugating biomolecules composed of gelatin and layer adhesive protein-derived peptides (A5G81) to the surface of polydioxanone and poly (l-lactic acid) fibers.

Alerting trends in epidemiology for non-rheumatic degenerative mitral valve disease, 1990-2019: An age-period-cohort analysis for the Global Burden of Disease Study 2019.

Background: The global and national burden of rheumatic mitral valve disease (MVD) has been well studied and estimated before. However, little is known about non-rheumatic degenerative MVD. Therefore, this study aimed to assess the trends in non-rheumatic degenerative MVD (NRDMVD) epidemiology, with an emphasis on NRDMVD mortality, leading risk factors, and their associations with age, period, and birth cohort.

Genetic overlap for ten cardiovascular diseases: A comprehensive gene-centric pleiotropic association analysis and Mendelian randomization study.

Recent studies suggest that pleiotropic effects may explain the genetic architecture of cardiovascular diseases (CVDs). We conducted a comprehensive gene-centric pleiotropic association analysis for ten CVDs using genome-wide association study (GWAS) summary statistics to identify pleiotropic genes and pathways that may underlie multiple CVDs. We found shared genetic mechanisms underlying the pathophysiology of CVDs, with over two-thirds of the diseases exhibiting common genes and single-nucleotide polymorphisms (SNPs).

Comparison of self- and balloon-expandable valves in patients with dilatated ascending aorta undergoing transcatheter aortic valve replacement.

Background: Limited studies have focused on the performance of self-expandable valves (SEVs) and balloon-expandable valves (BEVs) in patients with dilatated ascending aorta (AA) undergoing transcatheter aortic valve replacement (TAVR). The present study compared the performance of widely used Edwards BEVs and domestic SEVs in patients with dilatated AA among Chinese population.

Methods: We identified and reviewed 207 patients who had baseline AA diameter ≥40 mm and underwent transfemoral TAVR.

The cardiovascular disease burden attributable to low physical activity in the Western Pacific Region, 1990-2019: an age-period-cohort analysis of the Global Burden of Disease study.

Aims: To increase the comprehensive understanding of trends in the burden of cardiovascular disease (CVD) attributable to low physical activity in the Western Pacific Region.

Methods And Results: Based on data from the Global Burden of Disease study for the years 1990-2019, an age-period-cohort analysis was conducted to investigate trends in CVD-related mortality attributable to low physical activity in the Western Pacific Region and associations with age, period, and birth cohort. We also used joinpoint regression analysis to identify the periods with the most substantial changes.

Feasibility and safety of a percutaneous and non-fluoroscopic procedure for left atrial appendage closure in patients for whom fluoroscopy presents risk: a cohort study.

Background: Most patients undergoing left atrial appendage closure (LAAC) are older adult individuals with atrial fibrillation (AF) and many comorbidities, which may elevate the risk for complications associated with contrast agents with the fluoroscopic image-guided procedure. This retrospective cohort study of patients with AF at high risk for use of contrast agents compared the feasibility and safety of LAAC using percutaneous and non-fluoroscopic procedure with transesophageal echocardiography (TEE) as the only image guidance relative to those under fluoroscopic image guidance.

Methods: In this retrospective study, we enrolled 126 patients with AF who underwent LAAC from September 2017 to December 2020.

Prevalence of mental stress and its association with witnessing cyberbullying and coping strategies among undergraduates in Hunan, China in 2021.

Background: In the wave of the novel coronavirus (COVID-19) epidemic, there is a need to investigate the mental health status of Chinese university students.

Objective: To examine the effects of witnessing cyberbullying on psychological distress and the mediating role of coping on these effects in Chinese university students, which is yet to be examined.

Methods: 306 Chinese university students were enrolled in this cross-sectional study.

Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning.

Purpose: Studies relating to the right ventricle (RV) are inadequate, and specific diagnostic algorithms still need to be improved. This essay is designed to make exploration and verification on an algorithm of deep learning based on imaging and clinical data to detect RV abnormalities.

Methods: The Automated Cardiac Diagnosis Challenge dataset includes 20 subjects with RV abnormalities (an RV cavity volume which is higher than 110 mL/m or RV ejection fraction which is lower than 40%) and 20 normal subjects who suffered from both cardiac MRI.

Extracellular Matrix/Glycopeptide Hybrid Hydrogel as an Immunomodulatory Niche for Endogenous Cardiac Repair after Myocardial Infarction.

The treatment of myocardial infarction (MI) remains a substantial challenge due to excessive inflammation, massive cell death, and restricted regenerative potential, leading to maladaptive healing process and eventually heart failure. Current strategies of regulating inflammation or improving cardiac tissue regeneration have limited success. Herein, a hybrid hydrogel coassembled by acellular cardiac extracellular matrix (ECM) and immunomodulatory glycopeptide is developed for endogenous tissue regeneration after MI.

Automated deep neural network-based identification, localization, and tracking of cardiac structures for ultrasound-guided interventional surgery.

Background: The increase in the use of ultrasound-guided interventional therapy for cardiovascular diseases has increased the importance of intraoperative real-time cardiac ultrasound image interpretation. We thus aimed to develop a deep learning-based model to accurately identify, localize, and track the critical cardiac structures and lesions (9 kinds in total) and to validate the algorithm's performance using independent data sets.

Methods: This diagnostic study developed a deep learning-based model using data collected from Fuwai Hospital between January 2018 and June 2019.