A5059307469- Chronic Disease Management Strategies
- Emergency and Acute Care Studies
- Machine Learning in Healthcare
- Blood Pressure and Hypertension Studies
- Pneumonia and Respiratory Infections
- Healthcare Policy and Management
- Bacterial Infections and Vaccines
- Mycobacterium research and diagnosis
- Primary Care and Health Outcomes
- Genomics and Phylogenetic Studies
- Palliative Care and End-of-Life Issues
- Geriatric Care and Nursing Homes
- Heart Failure Treatment and Management
- Health Systems, Economic Evaluations, Quality of Life
- Healthcare Systems and Technology
- Respiratory viral infections research
- Sepsis Diagnosis and Treatment
- Frailty in Older Adults
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Immune cells in cancer
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
- Osteomyelitis and Bone Disorders Research
- NF-κB Signaling Pathways
- Vascular Tumors and Angiosarcomas
- Gender Studies in Language
Shenzhen Children's Hospital
2018-2024
Shantou University
2023
Shantou University Medical College
2023
Heze Municipal Hospital
2021
Stanford University
2017
Chinese Academy of Medical Sciences & Peking Union Medical College
2016
Winship Cancer Institute
1994
Piedmont Cancer Institute
1994
Background: As a high-prevalence health condition, hypertension is clinically costly, difficult to manage, and often leads severe life-threatening diseases such as cardiovascular disease (CVD) stroke.
Predicting the risk of falls in advance can benefit quality care and potentially reduce mortality morbidity older population. The aim this study was to construct validate an electronic health record-based fall predictive tool identify elders at a higher falls.The one-year prediction model developed using machine-learning-based algorithm, XGBoost, tested on independent validation cohort. data were collected from records (EHR) Maine 2016 2018, comprising 265,225 patients (≥65 years age).This...
Background Among patients who are discharged from the Emergency Department (ED), about 3% return within 30 days. Revisits can be related to nature of disease, medical errors, and/or inadequate diagnoses and treatment during their initial ED visit. Identification high-risk patient population help device new strategies for improved care with reduced utilization. Methods Findings A decision tree based model discriminant Electronic Medical Record (EMR) features was developed validated,...
The rapid deterioration observed in the condition of some hospitalized patients can be attributed to either disease progression or imperfect triage and level care assignment after their admission. An early warning system (EWS) identify at high risk subsequent intrahospital death an effective tool for ensuring patient safety quality reducing avoidable harm costs.The aim this study was prospectively validate a real-time EWS designed predict inpatient mortality during hospital episodes.Data...
Introduction. Respiratory tract infection, which is associated with high morbidity and mortality, occurs frequently in children. At present, the main diagnostic method culture. However, low pathogen detection rate of culture approach prevents timely accurate diagnosis. Fortunately, next-generation sequencing (NGS) can compensate for deficiency culture, its application clinical diagnostics has become increasingly available.Gap Statement. Targeted NGS (tNGS) a platform that select enrich...
Diabetes case finding based on structured medical records does not fully identify diabetic patients whose histories related to diabetes are available in the form of free text. Manual chart reviews have been used but involve high labor costs and long latency.This study developed tested a Web-based algorithm using both unstructured electronic (EMRs).This was health information exchange (HIE) EMR database that covers almost all facilities state Maine, United States. Using narrative clinical...
Objectives Identifying patients at risk of a 30-day readmission can help providers design interventions, and provide targeted care to improve clinical effectiveness. This study developed model predict inpatient hospital for in Maine, across all payers, diseases demographic groups. Methods Our objective was develop determine the within 30 days post discharge. All Maine Health Information Exchange (HIE) system were included. The retrospectively on encounters between January 1, 2012 December...
Kaposi's sarcoma (KS) is a neoplasm with multifocal vascular lesions that often seen in homosexual HIV-infected individuals. Infiltrates of leukocytes are characteristic components KS lesions, and the products have been shown to enhance proliferation cells vitro most likely crucial for development vivo. It therefore expression cellular adhesion molecules (CAM) critical determinant pathogenesis by dictating numbers types accumulate areas predisposed KS. We report absence inducers, culture...
Estimating patient risk of future emergency department (ED) revisits can guide the allocation resources, e.g. local primary care and/or specialty, to better manage ED high utilization populations and thereby improve life qualities. We set develop validate a method estimate revisit in subsequent 6 months from an discharge date. An ensemble decision-tree-based model with Electronic Medical Record (EMR) encounter data HealthInfoNet (HIN), Maine's Health Information Exchange (HIE), was developed...
Background: The increasing rate of health care expenditures in the United States has placed a significant burden on nation's economy. Predicting future utilization patients can provide useful information to better understand and manage overall deliveries clinical resource allocation. Objective: This study developed an electronic medical record (EMR)-based online risk model predictive for Maine next 6 months across all payers, diseases, demographic groups. Methods: In HealthInfoNet, Maine's...
Background: Chronic kidney disease (CKD) is a major public health concern in the United States with high prevalence, growing incidence, and serious adverse outcomes.
Acute meningitis and encephalitis syndromes (AMES) is a severe neurological infection which causes high case fatality sequelae in children. To determine the etiology of childhood AMES Shenzhen, hospital-based study was undertaken. A total 240 cerebrospinal fluid (CSF) samples from 171 children meeting definition were included screened for 12 common causative organisms. The clinical data conventional testing results collected analyzed. Whole genome sequencing performed on Neisseria...
Type 2 diabetes mellitus (T2DM), with increased risk of serious long-term complications, currently represents 8.3% the adult population. We hypothesized that a critical transition state prior to new onset T2DM can be revealed through longitudinal electronic medical record (EMR) analysis.We applied transition-based network entropy methodology which previously identified dynamic driver (DDN) underlying at tissue molecular biological level. To profile pre-disease phenotypical changes indicated...
An easily accessible real-time Web-based utility to assess patient risks of future emergency department (ED) visits can help the health care provider guide allocation resources better manage higher-risk populations and thereby reduce unnecessary use EDs.Our main objective was develop a Health Information Exchange-based, next 6-month ED risk surveillance system in state Maine.Data on electronic medical record (EMR) encounters integrated by HealthInfoNet (HIN), Maine's Exchange, were used for...
Sepsis is an inflammatory disease with exacerbated inflammation at early stages. Inflammatory cytokines play critical roles in the pathophysiology of sepsis. Ubiquitin-specific peptidase 18 (USP18), a deubiquitinating enzyme, has been shown to modulate transforming growth factor-β-activated kinase 1 (TAK1) activity. However, precise role USP18 sepsis not clear. Here, we investigated potential effect on We generated mice or/and TAK1 deficiency macrophages (USP18MKO mice, TAK1MKO and...
Abstract Background Infectious meningitis/encephalitis (IM) is a severe neurological disease that can be caused by bacterial, viral, and fungal pathogens. IM suffers high morbidity, mortality, sequelae in childhood. Metagenomic next-generation sequencing (mNGS) potentially improve outcomes both pathogen host responses increasing the diagnosis accuracy. Methods Here we developed an optimized mNGS pipeline named comprehensive (c-mNGS) to monitor DNA/RNA pathogens simultaneously applied it 142...
The purpose of this study was to evaluate different pretreatment, extraction, amplification, and library generation methods for metagenomic next-generation sequencing (mNGS) cerebrospinal fluid (CSF) develop an efficient procedure the simultaneous detection DNA RNA pathogens.We generated thirteen mock CSF samples with four representative pathogens encephalitis. Each sample subjected ten by varying pretreatment/nucleic acid extraction (microbial DNA, total NA, RNA, Whole Transcriptome...
Although the prognosis of chronic myeloid leukemia (CML) has dramatically improved, pathogenesis CML remains elusive. Studies have shown that sustained phosphorylation AKT1 plays a crucial role in proliferation cells. Evidence indicates tongue cancer cells, FAM168A, also known as resistance-associated protein (TCRP1), can directly bind to and regulate AKT1/NFκB signaling pathways. This study aimed investigate FAM168A regulation pathway cell cycle CML.FAM168A interference was performed,...
To determine the phenotypes and genotypes of invasive Streptococcus pneumoniae (S. pneumoniae), 108 strains were isolated from paediatric patients with pneumococcal diseases (IPDs) in Shenzhen 2014 to 2018.Serotype profiles defined by multiplex PCR capsule gene. Pneumococcal surface protein A (PspA) classification was performed through pspA gene sequencing. Antimicrobial resistance examined broth microdilution. Multilocus sequence typing (MLST) determined based on next-generation sequencing...
Background: For many elderly patients, a disproportionate amount of health care resources and expenditures is spent during the last year life, despite discomfort reduced quality life associated with aggressive medical approaches. However, few prognostic tools have focused on predicting all-cause 1-year mortality among patients at statewide level, an issue that has implications for improving while distributing scarce fairly.
Predicting the future risks of stroke for patients is in high demands. In this paper, we proposed a model predictive 1 year's period across all age, payor, and disease groups Maine, using demographics clinical histories extracted from Electronic Medical Record (EMR) notes provided by Health Information Exchange (HIE). A retrospective cohort 180,196 prospective 347,504 were constructed development validation, respectively. logistic regression based on multivariate analysis was built risk...
Understanding the future costs of healthcare service utilization in patients can benefit resource allocation management. The aim this study is to develop a risk stratification model for 6 months state Maine. A retrospective cohort 1,273,114 was constructed derive decision-tree-based estimate between January 1, 2013 and June 30, 2013, using preceding 12-month clinical historical data. validated with prospective 1,358,153 by testing total July December 31, 2013. Prospective results showed that...
X chromosome dosage compensation (XDC) refers to the process by which X-linked genes acquire expression equivalence between two sexes. Ohno proposed that XDC is achieved two-fold upregulations of in both sexes and silencing one (X inactivation, XCI) females. However, subject as well underlying mechanism remain unclear. It's reported gene changes may only affect dosage-sensitive genes, such protein complex coding (PCGs). Our results showed human PCGs are more likely escape XCI escaping (EsP)...