standardized-lung-recruitment-positive-end-expiratory-pressure

Standardized Lung Recruitment and Positive End-expiratory Pressure Titration in Acute Respiratory Distress Syndrome

Acute Respiratory Distress Syndrome (ARDS) is characterized by diffuse alveolar injury, refractory hypoxemia, and high mortality. Lung recruitment ...

the-application-point-care-ultrasonography-pocus-management-acute

The Application of Point-of-Care Ultrasonography (POCUS) in the Management of Acute Respiratory Distress Syndrome (ARDS) in the Intensive Care Unit

Acute respiratory distress syndrome (ARDS) is a life-threatening condition that necessitates dynamic, non-invasive monitoring for optimal management. ...

Zhejiang University School of Medicine

Sepsis is a leading cause of mortality and morbidity in the intensive care unit. Regulatory mechanisms underlying the disease progression and prognosis are largely unknown. The study aimed to identify master regulators of mortality-related modules, providing potential therapeutic target for further translational experiments.

Gene correlation network analysis to identify regulatory factors in sepsis.

Sepsis is a heterogenous syndrome and individualized management strategy is the key to successful treatment. Genome wide expression profiling has been utilized for identifying subclasses of sepsis, but the clinical utility of these subclasses was limited because of the classification instability, and the lack of a robust class prediction model with extensive external validation. The study aimed to develop a parsimonious class model for the prediction of class membership and validate the model for its prognostic and predictive capability in external datasets.

Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values.

Challenges in emergency medicine include overcrowding, insufficient emergency care resources, and extended emergency department (ED) waiting times. These issues contribute to delays in treatment and unfavorable outcomes. This situation worsens in events with large crowds and particularly worsened during the COVID-19 pandemic. The integration of augmented reality (AR) smart glasses could potentially enhance patient care in the ED.

Evaluating the Effectiveness of Smart Glasses in Reducing Patient Care Time in Emergency Departments: Cohort Study From the Hangzhou Asian Games.

Red yeast rice (RYR), a commonly used supplement with statin-like properties, is generally considered safe but may cause severe adverse effects such as rhabdomyolysis. We report a rare case of severe RYR-induced rhabdomyolysis complicated by acute kidney injury (AKI) and respiratory failure, with diaphragmatic dysfunction as a key contributing factor. A 78-year-old woman developed progressive proximal muscle weakness, dyspnea, and tea-colored urine after taking RYR (2 g/day) for 1 month. She rapidly progressed to respiratory failure requiring intubation and mechanical ventilation. Laboratory tests showed a peak creatine kinase (CK) of 112,985 U/L, serum myoglobin (>3,000 μg/L), and AKI. Bedside ultrasound demonstrated diaphragmatic dysfunction, while electromyography (EMG) revealed preserved nerve conduction. Myositis-specific and paraneoplastic antibody panels were negative. She received continuous renal replacement therapy (CRRT), plasma exchange (PE), hemoperfusion (HP), and supportive care. During hospitalization, she developed deep vein thrombosis (DVT), pneumonia, and ileus, all of which resolved with treatment. At discharge, she had been weaned from mechanical ventilation and had partially recovered renal and muscle function. At follow-up, she was stable, ambulating, and performing daily functions without symptom recurrence. Although her initial presentation mimicked immune-mediated necrotizing myopathy (IMNM), the absence of myositis-specific antibodies and clinical improvement without immunosuppressive therapy supported a diagnosis of toxic rhabdomyolysis. This case highlights the importance of recognizing supplement-related toxicity and initiating timely organ-targeted supportive care. This appears to be the first reported case of RYR-induced rhabdomyolysis complicated by both AKI and respiratory failure from diaphragmatic dysfunction.

Red yeast rice-induced severe rhabdomyolysis complicated by acute kidney injury and respiratory failure: a case report.

ChatGPT has demonstrated strong performance in the complex, full clinical workflow. In recent years, several large language models (LLMs) from China have been introduced; however, their performance in such intricate tasks has yet to be thoroughly assessed, and it remains unclear whether their performance diverges from that of ChatGPT. This study seeks to evaluate the capacity of the Chinese LLMs for providing continuous clinical decision support by assessing their performance with simulated patient cases.

ArticleTotal : 2	Year
Publication title	2025
Publication title	2025

Article	Year
Gene correlation network analysis to identify regulatory factors in sepsis. Journal of translational medicine\| PubMed ID: 33032623	2020
Deep learning-based clustering robustly identified two classes of sepsis with both prognostic and predictive values. EBioMedicine\| PubMed ID: 33181462	2020
Evaluating the Effectiveness of Smart Glasses in Reducing Patient Care Time in Emergency Departments: Cohort Study From the Hangzhou Asian Games. JMIR formative research\| PubMed ID: 40587811	2025
Red yeast rice-induced severe rhabdomyolysis complicated by acute kidney injury and respiratory failure: a case report. Frontiers in medicine\| PubMed ID: 40909457	2025
A comparison of the performance of Chinese large language models and ChatGPT throughout the entire clinical workflow. Scientific reports\| PubMed ID: 41107328	2025

Pengpeng Chen

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