A5103960062- Sepsis Diagnosis and Treatment
- Machine Learning in Healthcare
- Hemodynamic Monitoring and Therapy
- Respiratory Support and Mechanisms
- Intensive Care Unit Cognitive Disorders
- Acute Kidney Injury Research
- Ultrasound in Clinical Applications
- Bioinformatics and Genomic Networks
- Trauma and Emergency Care Studies
- Emergency and Acute Care Studies
- Health, Environment, Cognitive Aging
- Immune Response and Inflammation
- Cardiac Arrest and Resuscitation
- Adipokines, Inflammation, and Metabolic Diseases
- Clinical Reasoning and Diagnostic Skills
- COVID-19 diagnosis using AI
- Mesenchymal stem cell research
- Renal function and acid-base balance
- Metabolomics and Mass Spectrometry Studies
- Radiology practices and education
- Ferroptosis and cancer prognosis
- Dialysis and Renal Disease Management
- Abdominal Trauma and Injuries
- COVID-19 Clinical Research Studies
- Statistical Methods in Epidemiology
Zhejiang University
2016-2025
Sir Run Run Shaw Hospital
2016-2025
Wenzhou Central Hospital
2020
Wenzhou Medical University
2020
Ruian People's Hospital
2020
Second Affiliated Hospital of Zhejiang University
2010-2018
Excess fluid balance in acute kidney injury (AKI) may be harmful, and conversely, some patients respond to challenges. This study aimed develop a prediction model that can used differentiate between volume-responsive (VR) volume-unresponsive (VU) AKI. AKI with urine output < 0.5 ml/kg/h for the first 6 h after ICU admission intake > 5 l following US-based critical care database (Medical Information Mart Intensive Care (MIMIC-III)) were considered. Patients who received diuretics renal...
Predictive analytics have been widely used in the literature with respect to laparoscopic surgery and risk stratification. However, most predictive this field exploit generalized linear models for purposes, which are limited by model assumptions—including linearity between response variables additive interactions variables. In many instances, such assumptions may not hold true, complex relationship predictors is usually unknown. To address limitation, machine-learning algorithms can be...
Sepsis is a heterogeneous disease and identification of its subclasses may facilitate optimize clinical management. This study aimed to identify sepsis responses different amounts fluid resuscitation. was retrospective conducted in an intensive care unit at large tertiary hospital. The patients fulfilling the diagnostic criteria from June 1, 2001 October 31, 2012 were included. Clinical laboratory variables used perform latent profile analysis (LPA). A multivariable logistic regression model...
Causal inference prevails in the field of laparoscopic surgery. Once causality between an intervention and outcome is established, can be applied to a target population improve clinical outcomes. In many scenarios, interventions are longitudinally response patients' conditions. Such longitudinal data comprise static variables, such as age, gender, comorbidities; dynamic treatment regime, laboratory vital signs. Some variables act both confounder mediator for effect on outcome; cases, simple...
Some patients exhibit septic symptoms following laparoscopic surgery, leading to a poor prognosis. Effective clinical subphenotyping is critical for guiding tailored therapeutic strategies in these cases. By identifying predisposing factors postoperative sepsis, clinicians can implement targeted interventions, potentially improving outcomes. This study outlines workflow the subphenotype methodology context of along with its practical application. utilized data routinely available case...
Sepsis is a heterogenous syndrome and individualized management strategy the key to successful treatment. Genome wide expression profiling has been utilized for identifying subclasses of sepsis, but clinical utility these was limited because classification instability, lack robust class prediction model with extensive external validation. The study aimed develop parsimonious membership validate its prognostic predictive capability in datasets.
The epidemic of Coronavirus Disease 2019 (COVID-19) has become a global health emergency, but the clinical characteristics COVID-19 are not fully described. We aimed to describe outside Wuhan city; and develop multivariate model predict risk prolonged length stay in hospital (ProLOS).
Fluid management remains a critical challenge in the treatment of septic shock, with individualized approaches lacking. This study aims to develop statistical model based on transcriptomics identify subgroups shock patients varied responses fluid strategy. The encompasses 494 patients. A benefit score is derived from transcriptome space, higher values indicating greater benefits restrictive Adherence recommended strategy associated hazard ratio 0.82 (95% confidence interval: 0.64–0.92). When...
There has been multiple advances in the management of acute respiratory distress syndrome, but temporal trends syndrome-related mortality are not well known. This study aimed to investigate syndrome patients over time and explore roles daily fluid balance ventilation variables those patients.Secondary analysis randomized controlled trials conducted by Acute Respiratory Distress Syndrome Network from 1996 2013.Multicenter involving trials.Patients with syndrome.None.Individual patient data...
There are several disease severity scores being used for the prediction of mortality in critically ill patients. However, none them was developed and validated specifically patients with severe sepsis. The present study aimed to develop a novel score sepsis.A total 3206 sepsis were enrolled, including 1054 non-survivors 2152 survivors. LASSO showed best discrimination (area under curve: 0.772; 95% confidence interval: 0.735-0.810) validation cohort as compared other such simplified acute...
Abstract Background and objectives Sepsis is a leading cause of mortality morbidity in the intensive care unit. Regulatory mechanisms underlying disease progression prognosis are largely unknown. The study aimed to identify master regulators mortality-related modules, providing potential therapeutic target for further translational experiments. Methods dataset GSE65682 from Gene Expression Omnibus (GEO) database was utilized bioinformatic analysis. Consensus weighted gene co-expression...
There is a large body of evidence showing that delayed initiation sepsis bundle associated with adverse clinical outcomes in patients sepsis. However, it controversial whether electronic automated alerts can help improve Electronic databases are searched from inception to December 2021 for comparative effectiveness studies comparing versus usual care the management A total 36 eligible analysis, including 6 randomized controlled trials and 30 non-randomized studies. significant heterogeneity...
Abstract Study design Animal study. Objectives To investigate the influence of lumbar arteries ligation on spinal cord blood flow (SCBF), and to determine by what proportion SCBF decrease would cause ischemia (SCI) in rabbit model. Setting Sir Run Shaw Hospital, Zhejiang University School Medicine. Methods SCI model was established rabbits. 20 rabbits were divided into four groups: group A, sham surgery without ligation; B, at 3 levels; C, 4 D, 5 levels. The measured with laser doppler...
Abstract Background Persistent critical illness is common in critically ill patients and associated with vast medical resource use poor clinical outcomes. This study aimed to define when sepsis would be stabilized transitioned persistent illness, whether such transition time varies between latent classes of patients. Methods was a retrospective cohort involving the eICU Collaborative Research Database. defined at acute physiological characteristics were no longer more predictive in-hospital...
Neutrophils constitute the largest proportion of nucleated peripheral blood cells, and neutrophils have substantial heterogeneity. We profiled nearly 300,000 human cells in this study using single-cell RNA sequencing. A large (>50%) these were annotated as neutrophils. further clustered into four subtypes, including Neu1, Neu2, Neu3, Neu4. Neu1 is characterized by high expression MMP9, HP, RGL4. was associated with septic shock significantly correlated sequential organ failure assessment...
Abstract Air pollution in China has become a major environmental problem. There is lack of evidence on the impact haze (especially PM2.5) intensive care unit admission due to pneumonia (ICUp). We hypothesized that PM2.5 was independently associated with ICUp and there non-linear time lag effect. All ICU admissions occurred from January 1, 2014 December 31, 2016 Sir Run-Run Shaw hospital were included study. The primary reasons for categorized into non-pneumonia. Distributed model (DLNM)...