- Obstructive Sleep Apnea Research
- Acute Myocardial Infarction Research
- Cardiovascular and Diving-Related Complications
- Heme Oxygenase-1 and Carbon Monoxide
- Cardiac Imaging and Diagnostics
- Neonatal Health and Biochemistry
- Heart Rate Variability and Autonomic Control
- Neuroscience of respiration and sleep
- Inflammatory Biomarkers in Disease Prognosis
- Blood Pressure and Hypertension Studies
- Cardiovascular Disease and Adiposity
- Nonmelanoma Skin Cancer Studies
- Cardiovascular Function and Risk Factors
- Cardiovascular Health and Disease Prevention
- Cutaneous lymphoproliferative disorders research
- Methemoglobinemia and Tumor Lysis Syndrome
- Long-Term Effects of COVID-19
- COVID-19 Clinical Research Studies
- Cardiac Structural Anomalies and Repair
- Artificial Intelligence in Healthcare
- Orthopedic Infections and Treatments
- Sleep and Wakefulness Research
- Quantum Computing Algorithms and Architecture
- Cancer and Skin Lesions
- Advanced Photocatalysis Techniques
First Affiliated Hospital of Bengbu Medical College
2023-2024
Zhongda Hospital Southeast University
2024
Nanjing Medical University
2024
Zoucheng People's Hospital
2020-2022
Chinese Academy of Medical Sciences & Peking Union Medical College
2021
Xian Yang Central Hospital
2018
Third People 's Hospital of Liaoyang
2018
Soochow University
2018
Second Affiliated Hospital of Soochow University
2018
Xijing Hospital
2013-2014
Abstract Background The triglyceride glucose (TyG) index is a well-established biomarker for insulin resistance (IR) that shows correlation with poor outcomes in patients coronary artery disease. We aimed to integrate the TyG clinical data prediction nomogram long-term prognosis of new onset ST-elevation myocardial infarction (STEMI) following primary percutaneous intervention (PCI) . Methods This retrospective study included new-onset STEMI admitted at two heart centers emergency PCI from...
Obstructive sleep apnea syndrome (OSAS), a prevalent condition, often coexists with intricate metabolic issues and is frequently associated negative cardiovascular outcomes. We developed longitudinal prediction model integrating multimodal data for risk stratification of patients an initial diagnosis OSAS.
: Hypertension is an important contributing factor to atherosclerotic cardiovascular disease (ASCVD), and multiple risk factors, many of which are implicated in metabolic disorders, contribute the cause hypertension. Despite promise multimodal data-driven prediction model, no such model was available predict ASCVD Chinese individuals with new-onset hypertension history ASCVD.
Abstract Background Inflammation is involved in the pathogenesis and progression of coronary artery diseases (CADs), including acute syndrome. The neutrophil-to-lymphocyte ratio (NLR) has been identified as a novel marker pro-inflammatory state. We aimed to evaluate predictive efficacy NLR for prognosis patients with new-onset ACS. Methods retrospectively included consecutive ACS treated emergency angiography. was measured at baseline analyzed by tertiles. severity lesions evaluated Gensini...
The potential prognostic role of total bilirubin (TBIL) in patients with new-onset non-ST elevation myocardial infarction (NSTEMI) is not fully understood. This study aims to evaluate the predictive value TBIL for long-term prognosis NSTEMI.Patients NSTEMI that underwent emergency coronary angiography our department from June 2015 March 2020 were included. Baseline was measured at admission. SYNTAX scores used indicate severity lesions. association between and analyzed using multivariate...
Background. Obstructive sleep apnea syndrome (OSAS) is common in patients with chronic coronary (CCS); however, a predictive model of OSAS CCS remains rarely reported. The study aimed to construct novel nomogram scoring system predict comorbidity CCS. Methods. Consecutive scheduled for monitoring at our hospital from January 2019 September 2020 were enrolled the current study. Coronary CT angiography or was used diagnosis CCS, and clinical characteristics collected. Significant predictors...
Background Limited data from the literature are available to assess efficacy of coronary artery bypass grafting in patients with ischemic cardiomyopathy and heart failure preserved ejection fraction. Therefore, our objective was use machine learning techniques integrating clinical features, biomarker data, echocardiography enhance comprehension risk stratification diagnosed fraction who have undergone surgery. Methods Results For this study, 294 underwent surgery were assigned development...
Recent evidence indicates that a large proportion of deaths from coronavirus disease 2019 (COVID-19) can be attributed to cardiovascular disease, including acute myocardial infarction, arrhythmias and heart failure. Indeed, severe infection increases the risk failure among patients with COVID-19. In most patients, arises complex interactions between pre-existing conditions, cardiac injury, renin-angiotensin system activation, effects systemic inflammation on system. this review, we summarize...
Abstract Background Blood pressure (BP) exhibits seasonal variations, with peaks reported in winter. However, the association between variations and blood variability patients new-onset essential hypertension is not fully understood. This study evaluated potential of hypertension. Methods retrospective observational recruited a total 440 consecutive who underwent 24-h ambulatory electrocardiograph (ECG) BP measurement at our department January 2019 December 2019. Demographic baseline...
Aim: The aim of the study was to evaluate potential predictive value permanent RBBB and LBBB for longer-term prognosis in patients with new-onset STEMI who underwent percutaneous coronary intervention (PCI). Methods: Patients that emergency PCI at our department from June 2012 September 2020 were included study. Gensini score (GS) employed severity lesions. primary endpoint occurrence major adverse cardiac cerebrovascular events (MACCEs), composite mortality, recurrence myocardial...
Quantum machine learning is one of the most exciting potential applications quantum technology. While under intensive studies, training process relatively ambiguous and its advantages are not very completely explained. Here we investigate neural networks from perspective Fourier analysis. We empirically propose a frequency principle for parameterized circuits that preferentially train frequencies within primary range objective function faster than other frequencies. elaborate on in curve...
Objective To detect beta-human papilloma virus (HPV) and determine its genotype in actinic keratosis (AK) lesions.Methods Tissue specimens were collected from the lesions of 39 patients with AK normal skin 40 healthy controls.A nested PCR was performed to alpha-HPV beta-HPV DNA these specimens.The determined DNA-positive by a common using specific primers targeting 12 HPV genotypes,including 5,8,15,17,19,20,21,23,36,38,49 80.Results The detection rate 84.6% (30/39) AK,and 30.0% (12/40)...
目的 分析美托洛尔治疗风湿性心脏病的疗效。 方法 将本院收治的72例风湿性心脏病患者纳入本次研究,所选病例均来自2016年1月至12月,采取随机抽签的方法将所有患者分为治疗组(36例,常规治疗+美托洛尔)和对照组(36例,常规治疗),对比两种治疗方案的临床效果。 结果 治疗组患者治疗总有效率(91.7%)明显高于对照组(63.9%),左室射血分数、左室收缩末期内径、左室舒张末期内径均优于对照组,且两组差异均有统计学意义(均P 0.05)。 结论 对风湿性心脏病患者给予美托洛尔治疗可获得理想疗效,可有效改善患者的心功能,且不良反应少,安全性高。
Objective To explore the application value of Biofire Filmarry pneumonia panel (PN) in detection secondary and concomitant pathogen among critically ill patients with coronavirus disease 2019(COVID-19). Methods We consecutively included analyzed clinical data COVID-19 transferred to ICU from February April 2020 Sino-French Campus Wuhan Tongji Hospital. Samples Bronchoalveolar lavage fluid obtained by bedside bronchoscopy were sent for Filmarray PN standard culture concomitantly. compared...
Abstract Background To investigate the effect of serum total bilirubin levels on blood pressure and its variability in patients with hypertension. Methods This study was a retrospective observational study. A 189 subjects were recruited from September 2019 to March 2020. All hypertensive scheduled for ambulatory 24-hour dynamic electrocardiography. Standard deviations systolic diastolic used as indicators. multiple linear regression analyze relationship between patients. Results divided into...