A5101707182- Anesthesia and Pain Management
- Chronic Disease Management Strategies
- Machine Learning in Healthcare
- Airway Management and Intubation Techniques
- Metabolism, Diabetes, and Cancer
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Radiomics and Machine Learning in Medical Imaging
- Neuroinflammation and Neurodegeneration Mechanisms
- Botulinum Toxin and Related Neurological Disorders
- Biomedical Text Mining and Ontologies
- Spine and Intervertebral Disc Pathology
- Liver Disease Diagnosis and Treatment
- Central Venous Catheters and Hemodialysis
- Oropharyngeal Anatomy and Pathologies
- Cardiovascular Health and Risk Factors
- Orthopaedic implants and arthroplasty
- Global Public Health Policies and Epidemiology
- Advanced Technologies in Various Fields
- Cancer Risks and Factors
- Natural Language Processing Techniques
- Flow Measurement and Analysis
- IoT and Edge/Fog Computing
- Topic Modeling
- Temporomandibular Joint Disorders
- Intensive Care Unit Cognitive Disorders
Zhongnan Hospital of Wuhan University
2025
Wuhan University
2025
Nanjing Medical University
2014-2024
Hefei First People's Hospital
2024
Anhui Medical University
2020-2024
University of Waterloo
2024
Nanjing University
2024
Qingdao University
2012-2023
University of Calcutta
2023
Jiangsu Province Hospital
2018-2022
Cognitive deficits are common in patients with sepsis. Previous studies sepsis-associated encephalopathy (SAE) implicated the C-X-C chemokine receptor type (CXCR) 5. The present study used a mouse model of SAE to examine whether CXCR5 down-regulation could attenuate cognitive deficits.Sepsis was induced adult male C57BL/6 J and CXCR5-/- mice by cecal ligation puncture (CLP). At 14-18 days after surgery, animals were tested Morris water maze, followed fear conditioning test. Transmission...
Background: This study aimed to investigate the prevalence and risk factors for hypertension, diabetes, dyslipidemia, evaluate their additive effects on myocardial infarction (MI) stroke in Nanjing East China. Methods: A multistage, stratified random cluster sampling method was used select representative participants. All eligible participants completed questionnaires, physical measurements, blood tests. Multivariable univariable logistic regression analyses were identify associated...
Abstract: Automated electrocardiogram (ECG) diagnosis could be a useful aid for clinical use. We applied deep learning method to build system automated detection and classification of ECG signals. first trained convolutional neural network (CNN) detect cardiovascular disease in signals using training data set 259,789 collected from the cardiac function rooms tertiary care hospital. The CNN was validated an independent test 18,018 labels used covered >90% diagnoses. grouped ECGs into 18...
Background Epilepsy is a non-communicable chronic brain disease that affects all age groups. There are approximately 50 million epilepsy patients worldwide, which one of the most common neurological disorder. This study reports time trends in burden from 1999 to 2019. Methods We evaluated and its temporal using prevalence years lived with disability (YLDs), was estimated based on Global Burden Disease (GBD) 2019 study. The age-period-cohort (APC) model used estimate YLDs rates, analyze...
The present study examined treatment pathways (the ordered sequence of medications that a patient is prescribed) for three chronic diseases (hypertension, type 2 diabetes, and depression), compared the with recommendations from guidelines, discussed differences standardization in different medical institutions, explored population diversification changes clinical treatment, provided big data analysis-based support development drugs China. In order to run "Treatment Pathways Chronic Disease"...
A smart medical service system architecture is proposed in this paper to increase resource utilization and improve the efficiency of diagnosis process for complex business scenarios Medical Internet Things (MIoT) environment. The representation model theory, multi-terminal aggregation algorithm, discovery algorithm based on latent factor are also studied. within IoT environment then developed, open source project. Experimental results using real-world datasets illustrate that can promote...
Abstract Background High fasting plasma glucose (HFPG) is the fastest-growing risk factor for cancer deaths worldwide. We reported mortality attributable to HFPG at global, regional, and national levels over past three decades associations with age, period, birth cohort. Methods Data this study were retrieved from Global Burden of Disease Study 2019, we used age-period-cohort modelling estimate cohort period effects, as well net drift (overall annual percentage change) local (annual change...
Objective: To investigate the applicability, safety, and efficacy of long peripheral catheters in infusion therapy lung cancer patients. Methods: A retrospective analysis was conducted to examine baseline data, catheter placement procedures, associated complications, as well costs maintenance among patients who underwent insertion our oncology unit from June December 2023. Results: The average catheterization time approximately 20 min, achieving a success rate 71.15% for single puncture....
Sepsis requires urgent diagnosis, but research is predominantly focused on Western datasets. In this study, we perform a comparative analysis of ensemble learning methods, using the public eICU-CRD dataset and private South Korean St. Mary's Hospital's dataset. Our reveals effectiveness these methods in addressing healthcare data imbalance enhancing sepsis detection. Specifically, LightGBM shows slight edge computational efficiency scalability. The study paves way for broader application...
Phytoplankton taxonomic α-diversity indices are useful tools to characterize the trophic states in freshwater ecosystems. However, application of these assess large barrier lakes is rare, especially China. To test usefulness phytoplankton state assessments, we investigated α-diversity-Comprehensive Trophic Level Index (TLI) relationships second largest alpine lava lake (Jingpo Lake, China) rainy and dry season from 2017 2018. Based on a two-year dataset, found that there was significant...
Background: Thyroid cancer is a common endocrine tumor, the incidence of which increasing each year. Early diagnosis and treatment can effectively prevent thyroid cancer. This article uses Chinese's ultrasound reports to determine value early diagnosis. Methods: The clinical data center First Affiliated Hospital Nanjing Medical University was screened for patients diagnosed with nodule, who had undergone function test, records pathological assessment. A total 811 1,290 pathologically...
Isthmic spondylolisthesis (IS) is a common clinical disease with high incidence rate. However, most current researches explain the clear pathogenesis from single perspective. The aim of our study was to explore relationships between multiple parameters in patients and find potential risk factors this disease.Our retrospectively included 115 who were diagnosed isthmic same number individuals without spondylolisthesis. following measured or collected: age, pelvic (PI), facet joint angle (FJA)...
Objectives To verify whether a simplified method based on age, body mass index (BMI) and glycated haemoglobin (HbA1c) is feasible in classifying patients with type 2 diabetes (T2D), evaluate the predictive ability of subgroups several health mortality outcomes. Design Retrospective cohort study. Setting The National Health Nutrition Examination Survey 1999–2014 cycle. Participants A total 1960 participants age at diagnosis greater than 30. Primary secondary outcome measures T2D were assigned...
Analysis of the related risks disease provides a scientific basis for prevention and treatment, hospital management, policy formulation by changes in spectrum patients hospital. Retrospective analysis was made to first diagnosis, age, gender, daily average cost hospitalized patients, other factors First Affiliated Hospital Nanjing Medical University during 2006–2013. The top 4 cases were as follows: cardiovascular disease, malignant tumors, lung infections, noninsulin dependent diabetes...
Evidence of a role for type 2 diabetes in overall cancer risk is limited ethnic Chinese populations. We therefore investigated whether there an association between and incidence.All hospitalized patients from the First Affiliated Hospital Nanjing Medical University 2006.01 2013.12 were eligible study. Our research used healthcare information technology statistical methods to analyze clinical data explored relationship cancer. Participants with fasting glucose ≥126 mg/dL, or taking...
<b>Background:</b> To determine the therapeutic efficacy and cost-effective of pancreatic kininogenase (PKase) on treatment diabetic peripheral neuropathy (DPN) compared with Prostaglandin E1 (PGE1) in patients type 2 diabetes. <b>Methods:</b> 104 DPN receiving standard glucose control therapy were randomly assigned into 3 groups: Group-A received PKase treatment, Group-B PGE1 Group-C only therapy. Michigan screening instrument (MNSI) score, neurophysiology examination, nerve conduction...
The β-cell function and insulin resistance required by existing methods of classifying type 2 diabetes are not routinely adopted in most medical institutions developing countries regions. This study aims to propose a novel, affordable classification approach evaluate its predictive ability for several health mortality outcomes, including cardiovascular (CVH), retinopathy, chronic kidney disease (CKD), nonalcoholic fatty liver (NAFLD), advanced fibrosis, caused all-cause, (CVD), cancer.Based...
To describe a Chinese family affected by severe form of Axenfeld-Rieger syndrome (ARS) and characterize the molecular defect in PITX2 family.Patients presented with typical ARS from were investigated. We performed genome-wide linkage scan exome sequencing to identify pathogenic mutations. Candidate mutations verified for co-segregation whole pedigree using Sanger sequencing. Real-time polymerase chain reaction (RT-PCR) Western blotting verify expression gene.Genome-wide analyses showed as...
To extract texture features from magnetic resonance imaging (MRI) scans of patients with brain tumors and use them to train a classification model for supporting an early diagnosis.Two groups regions (control tumor) were selected MRI 40 meningioma or glioma. These analyzed obtain features. Statistical analysis was conducted using SPSS (version 20.0), including the Shapiro-Wilk test Wilcoxon signed-rank test, which used significant differences in each feature between tumor healthy regions....
To evaluate the effect of ultrasound (US) on learning curve and inter-subject performance variability residents in radial artery cannulation.Twenty non-anesthesiology who received standardized training an anesthesiology department were selected divided into two groups: anatomy group or US group. After relevant anatomy, recognition puncture skill, 10 patients either under anatomical localization performing catheterization. The number time successful cases catheterization recorded, success...