Gastric variceal rupture and bleeding and hepatic encephalopathy are common and life-threatening complications in decompensated cirrhosis. As a minimally invasive interventional technique， balloon-occluded retrograde transvenous obliteration （BRTO） has made significant progress in the clinical management of gastric varices and hepatic encephalopathy in recent years. This article systematically reviews the technical principles， indications （e.g.， isolated gastric varices and refractory hepatic encephalopathy）， clinical efficacy （an acute hemostasis rate of 85% — 95%， a 1-year rebleeding rate of <15%， and an improvement rate of 60% — 80% for hepatic encephalopathy）， and safety （including complications such as renal impairment and elevated portal vein pressure） of BRTO. Meanwhile， this article discusses the advantages and disadvantages of BRTO and conventional treatment modalities （e.g.， transjugular intrahepatic portosystemic shunt and endoscopic treatment） and reviews the latest technological improvements in recent years， such as coil-assisted retrograde transvenous obliteration and plug-assisted retrograde transvenous obliteration. Future research should focus on the precision of patient selection （e.g.， stratification based on hemodynamic parameters）， the optimization of embolic materials （e.g.， application of new biodegradable embolic agents）， and the development of individualized treatment regimens， so as to improve efficacy and reduce the risk of complications.

Objective To analyze the distribution status of the end digits of standardized blood pressure measurement recordings in the clinic and the effectiveness of standardized blood pressure measurement for community hypertension screening. Methods The first visit blood pressure measurement data from the Community Health Service Center in Jing'an District, Shanghai from June 2023 to May 2024 were collected and analyzed. According to different measurement methods, the data were divided into two groups: standardized blood pressure measurement and conventional blood pressure measurement. SPSS 19.0 software was used for data analysis. The differences in the distribution balance of the end digits of blood pressure values and the detection rate of blood pressure elevation between the two different groups were analyzed. Results The frequency range of the end digits of blood pressure recorded values in the standardized pressure measurement group was 9.42% to 10.83%, and the detection rate of elevated blood pressure was 24.89%. The conventional pressure measurement group had a preference of the end digit ^"0^", and the detection rate of elevated blood pressure was only 2.12%. The results of multiple logistic regression analysis showed that gender, age, season, and different blood pressure measurement modes were all influencing factors for the detection rate of elevated blood pressure. Conclusion The standardized blood pressure measurement mode in the clinic is suitable for community hypertension screening and pressure measurement, with higher data quality than the conventional pressure measurement mode.

OBJECTIVE To construct a preoperative medication reconciliation model assisted by a localized large language model （LLM） for gastric cancer and evaluate its clinical efficacy. METHODS A total of 249 gastric cancer patients with a history of continuous medication before admission in the Gastric Surgery Department of Jiangsu Cancer Hospital were retrospectively enrolled. Patients were divided into training set （154 cases） and validation set （95 cases） based on the order of time. Based on guidelines， drug package inserts， and other evidence， a standardized medication reconcili ation process and a structured knowledge base were constructed. DeepSeek-V3 LLM was deployed privately in the hospital， combined with retrieval-augmented generation technology， to achieve automated integration of medication information， risk screening， and generation of personalized recommendations. The quality of LLM-generated recommendations was evaluated using automatic metrics （BERT Score and ROUGE-1， 2， L） and manual scoring [seven-dimensional index （7DI） ] . Spearman correlation analysis was performed to explore the correlation between automatic scores and manual scores. Cronbach’s α coefficient was used to test the internal consistency of manual scoring results. The time consumed by manual and LLM-assisted medication reconciliation was compared across tasks of different difficulty levels （simple， moderate， and high）. RESULTS A structured knowledge base covering 8 major drug categories was finally established， covering common and high-risk preoperative medication scenarios and providing structured retrieval support for the LLM. For automatic evaluation， the precision， recall， and F1-score of BERT Score were 0.783±0.033， 0.811±0.038， and 0.796±0.028， respectively. The F1-scores of ROUGE-1， ROUGE-2 and ROUGE-L were 0.566±0.067， 0.338±0.076 and 0.468±0.082， respectively. The 7DI scores from three manual raters ranged from 32.06 to 33.45. The F1-score of automatic scoring was significantly positively correlated with the 7DI score of manual scoring （maximum coefficient of determination＝0.611， P ＜0.001）， and the internal consistency of manual scoring was good （Cronbach’s α ＝ 0.876）. In terms of efficiency， LLM-assisted medication reconciliation reduced time consumption by more than 90% compared with manual reconciliation in the simple， moderate， and high-difficulty groups （ P ＜0.001）. CONCLUSIONS The medication reconciliation model constructed based on a localized LLM and structured knowledge base shows high accuracy， consistency， and clinical applicability in complex preoperative medication scenarios for gastric cancer. It can improve the efficiency of medication reconciliation and reduce potential medication risks.

Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

ObjectiveTo observe the effect of Xiao Qinglongtang on ferroptosis in allergic rhinitis rats and explore its specific mechanism of action. MethodsSixty SD rats were randomly divided into a blank group， a model group， a loratadine group （0.9 mg·kg^-1）， and low-， medium-， and high-dose Xiao Qinglongtang groups （2.14， 4.28， and 8.56 g·kg^-1）， 10 rats per group. After 2 weeks of drug treatment， behavioral scores were observed in 6 groups of rats. Hematoxylin-eosin （HE） staining was used to observe changes in nasal mucosal tissue morphology， and Prussian blue staining was used to observe iron deposition. Enzyme-linked immunosorbent assay （ELISA） was used to detect reactive oxygen species （ROS）， Fe²⁺ ions， malondialdehyde （MDA）， superoxide dismutase （SOD）， and glutathione peroxidase （GSH） in each group. Immunofluorescence assay was used to detect ROS content and sirtuin 1 （SIRT1） expression in nasal mucosal tissue. Western blot was used to detect the expression of SIRT1， solute carrier family 7 member 11 （SLC7A11）， p53 acyl-CoA synthetase long-chain family member 4 （ACSL4）， and glutathione peroxidase 4 （GPX4） proteins in nasal mucosal tissue. ResultsCompared with the blank group， the model group exhibited obviously increased behavioral scores， severe nasal mucosal damage， obvious increase in iron deposition， significant decreases in GSH and SOD levels， obvious increases in MDA， Fe²⁺， and ROS fluorescence area proportions （P<0.05）， decreased protein expression levels of GPX4， SLC7A11， and SIRT1， and obvious increases in p53 and ACSL4 expression （P<0.05）. Compared with the model group， Xiao Qinglongtang groups of all doses showed reduced rat behavioral scores， obviously improved nasal mucosal damage， obviously reduced iron deposition （P<0.05）， obviously increased GSH and SOD levels， obviously reduced MDA， Fe²⁺， ROS fluorescence area proportions （P<0.05）， increased GPX4， SLC7A11， and SIRT1 protein expression levels， and obviously reduced p53 and ACSL4 （P<0.05）. ConclusionXiao Qinglongtang may achieve the goal of treating allergic rhinitis by regulating the SIRT1/SLC7A11 signaling pathway and inhibiting lipid peroxidation and ferroptosis.

OBJECTIVE To investigate the ameliorative effect and mechanism of short-acting exenatide on diabetic cognitive dysfunction. METHODS Spontaneously diabetic db / db mice were randomly divided into model group （normal saline） and exenatide group （50 μg/kg）， with db / m mice as the normal control group （normal saline）， with 8 mice in each group. Mice in each group were subcutaneously injected with corresponding drugs or normal saline twice daily for 8 consecutive weeks. Body weight and fasting blood glucose were measured at a fixed time every week. Cognitive function was evaluated by Morris water maze test. The levels of oxidative st ress indicators [malondialdehyde （MDA）， superoxide dismutase （SOD）， glutathione （GSH） ] ， cyclic adenosine monophosphate （cAMP） and protein kinase A （PKA） were detected in hippocampus tissue of mice. The hippocampal neuronal HT22 cells of mice were divided into control group （25 mmol/L glucose）， high glucose group （125 mmol/L glucose）， high glucose+exenatide group （125 mmol/L glucose+20 nmol/L exenatide）， high glucose+exenatide+H89 （PKA inhibitor） group （125 mmol/L glucose+20 nmol/L exenatide+10 μmol/L H89）， and high glucose+H89 group （125 mmol/L glucose+10 μmol/L H89）. After 48 h of intervention with corresponding solutions/culture medium， the levels of oxidative stress indicators， cAMP and PKA， the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ， and the phosphorylation level of dynamin-related protein 1 （Drp1） were measured. RESULTS Animal experiments showed that compared with the normal control group， the model group exhibited significantly increased body weight， fasting blood glucose and MDA level in the hippocampus （ P ＜0.05）， as well as significantly prolonged escape latency （ P ＜0.05）； swimming speed significantly slowed down， the time spent in the target quadrant， the number of platform crossings， and the levels of SOD， GSH， cAMP and PKA in the hippocampus were significantly decreased （ P ＜0.05）. Compared with model group， all the above indicators （except for swimming speed） in the exenatide group were significantly reversed （ P ＜0.05）. Cell experiments showed that compared with high glucose group， the high glucose+exenatide group had significantly decreased MDA level （ P ＜0.05）， and significantly increased levels of SOD， GSH， cAMP and PKA， the activities of mitochondrial respiratory enzymes Ⅱ and Ⅳ， and phosphorylation level of Drp1 （ P ＜0.05）. Compared with high glucose+exenatide group， the above indicators in the high glucose+exenatide+H89 group were significantly reversed （ P ＜0.05）. CONCLUSIONS Short-acting exenatide can activate the cAMP/PKA pathway， promote Drp1 phosphorylation， and increase the activities of mitochondrial respiratory enzymes， thereby maintaining mitochondrial stability， reducing oxidative stress injury， and ultimately improving diabetic cognitive dysfunction.

Despite significant advances in the field of critical care medicine over the past three decades, veno-arterial extracorporeal membrane oxygenation (V-A ECMO) remains the primary temporary mechanical circulatory support modality for patients with acute severe circulatory failure. With the accumulation of clinical experience and the increasing maturity of operational techniques in V-A ECMO, its technical management—particularly hemodynamic management—has become a key factor influencing patient outcomes. To further improve patient survival, the Chinese Critical Care Ultrasound Study Group, in collaboration with the Hemodynamic Therapy of Critical Care Collaborative Group and the Critical Care Medicine Branch of the China International Exchange and Promotive Association for Medical and Health Care, organized experts in critical care medicine to develop the Consensus on Hemodynamic Management in Adult Veno-Arterial Extracorporeal Membrane Oxygenation (2026 Edition). Based on years of clinical experience and the latest evidence-based medical evidence, this consensus formulates 15 systematic recommendations covering the entire process of V-A ECMO, including initiation, management during support, and weaning, aiming to promote standardized application of hemodynamic management in V-A ECMO.

ObjectiveThis paper aims to investigate the differential mechanisms underlying the staged therapeutic effects of Qijia Rougan formula on liver fibrosis using proteomic technology. MethodsThe staged rat model of liver fibrosis was established by subcutaneous injection of carbon tetrachloride （CCl₄） and olive oil. One hundred and four SD rats were randomized into thirteen groups：a normal group，a two-week model group，a four-week model group，a six-week model group，an eight-week model group，a two-week Qijia Rougan formula group，a four-week Qijia Rougan formula group，a six-week Qijia Rougan formula group，an eight-week Qijia Rougan formula group，a two-week compound Biejia Ruangan tablet group，a four-week Compound Biejia Ruangan Tablet group，a six-week Compound Biejia Ruangan Tablet group，and an eight-week compound Biejia Ruangan tablet group. After two weeks of drug intervention，liver tissue and abdominal aortic blood samples were collected from the rats for testing. Hematoxylin-eosin （HE） staining，Masson staining，and Picro Sirius red staining were used to observe pathological damage and collagen fiber deposition in liver tissues. Immunohistochemistry （IHC） was employed to detect the contents of fibrosis markers in liver tissues. The contents of liver function indicators in the serum were measured using a fully automated biochemical analyzer，and the levels of liver fibrosis indicators in the serum were assessed by enzyme-linked immunosorbent assay （ELISA）. Liver tissues from the normal group，each model group，and each Qijia Rougan formula group were subjected to label-free quantitative proteomic analysis to identify differential proteins among the groups，with key proteins validated by Western blot. Finally，bioinformatics analysis was performed on the differential proteins. Results（1） The staged rat model of liver fibrosis constructed with CCl₄ and olive oil showed pathological results at the 2^nd，4^th，6^th，and 8^th weeks of modeling that were consistent with the Metavir standards for the F1，F2，F3，and F4 stages. Compared with those in the normal control group，the protein expressions of α-smooth muscle actin （α-SMA） and Collagen Ⅰ were significantly increased in each stage （P<0.05）. The levels of liver function indicators in the serum，including alanine aminotransferase （ALT），aspartate aminotransferase （AST），alkaline phosphatase （ALP），direct bilirubin （DBIL），and total bilirubin （TBil） in each model group，were significantly elevated in each stage （P<0.01）. The levels of liver fibrosis indicators in the serum，including procollagen Ⅲ peptide （PⅢP），type Ⅳ collagen（Ⅳ-C），hyaluronic acid （HA），and laminin （LN） in each model group，were significantly increased in each stage （P<0.05，P<0.01）. This study successfully established a staged rat model of liver fibrosis. （2） Compared with the model groups at each stage，the administration groups showed a reduction in hepatocyte ballooning degeneration，a more orderly arrangement of hepatocytes，and a decrease of inflammatory cell infiltration. The blue-stained collagen fibers became significantly thinner and finer，with reduced and narrowed fibrous septa. The areas of collagen fibers and Picro Sirius red staining were reduced （P<0.05）. The positive areas of α-SMA and Collagen Ⅰ expression were significantly decreased （P<0.05）. The levels of ALT，AST，ALP，DBIL，and TBil in the rats of the model groups at each stage were significantly reduced （P<0.05，P<0.01）. The levels of PⅢP，Ⅳ-C，HA，and LN in the rats of the model groups at each stage were significantly decreased （P<0.05）. Among these，the improvements in all indicators were most significant in the F3 stage （P<0.01）.（3） The proteomic results show that a total of 165 differential proteins exhibit a callback trend when comparing the model groups at four stages with the normal group，and when comparing the Qijia Rougan formula group with the model group. Western blot analysis reveals that the levels of NAD（P）H：quinone oxidoreductase 1 （NQO1），mitogen-activated protein kinase 1 （MAPK1），arginase 1 （Arg1），and glutathione S-transferase α1 （GSTA1） were consistent with the proteomic results. Bioinformatics results reveal that 165 differentially expressed proteins are enriched in multiple signaling pathways. Notably，signaling pathways such as drug metabolism-cytochrome P450，arginine biosynthesis，and the peroxisome proliferator-activated receptor （PPAR） signaling pathway were found to be closely associated with liver fibrosis，suggesting that the Qijia Rougan formula may exert its staged regulatory effects on liver fibrosis by regulating these pathways. ConclusionThe Qijia Rougan formula may achieve staged regulation of liver fibrosis by regulating drug metabolism-cytochrome P450，arginine biosynthesis，and the PPAR signaling pathway.

ObjectiveTo explore the mechanism through which Banxia Baizhu Tianmatang ameliorates cognitive impairment in epileptic rats induced by lithium chloride-pilocarpine by regulating the neuroinflammatory reaction mediated by NOD-like receptor protein 3 （NLRP3） inflammasomes. MethodsSixty male SD rats were randomly allocated into blank， model， carbamazepine （0.125 g·kg^-1·d^-1）， Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1）， and carbamazepine （0.125 g·kg^-1·d^-1） + Banxia Baizhu Tianmatang （1.04 g·kg^-1·d^-1） groups （n=12）. After the modeling of epilepsy， rats were administrated with corresponding agents by gavage for 12 weeks. At the 6th and 12th week of the intervention， the rats’ hyper-excited behavior was evaluated by the stylus experiment， and at the 12^th week of intervention， the cognitive function was evaluated by Barnes maze. At the same time， the seizure frequency and severity grade （Racine score） were recorded. The serum and hippocampus tissue samples were collected after anesthesia for the following tests. Nissl staining was used to evaluate the degree of neuronal damage in the hippocampal CA1 area. The content of malondialdehyde （MDA） in the hippocampus was determined by the thiobarbituric acid （TBA） method. Serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-18 （IL-18） were quantified by enzyme-linked immunosorbent assay （ELISA）. Immunohistochemical method was adopted to detect the expression of apoptosis-associated speck-like protein containing a card （ASC） in the hippocampus. Western blot was employed to quantitatively analyze the protein levels of NLRP3， cysteinyl aspartate-specific proteinase-1 （Caspase-1）， and brain-derived neurotrophic factor （BDNF） in the hippocampus. ResultsThe model group showed increased stylus scores at the 6th and 12^th week after modeling， a decreased Barnes maze strategy score at the 12^th week， a prolonged incubation period （P<0.05）， elevated serum levels of inflammatory factors （P<0.05）， decreased neurons with scattered arrangement and large gaps in the hippocampus， increased content of MDA in the hippocampus （P<0.05）， an increased positive expression of ASC， and up-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05）. Compared with the model group， the intervention with Banxia Baizhu Tianmatang for 12 weeks was accompanied by a decreased stylus score， epileptic seizures with a decreased score， a decreased number， and shortened duration， an increased Barnes maze strategy score， shortened escape latency （P<0.01）， declined serum levels of inflammatory factors （P<0.05）， regular morphology of hippocampal neurons， reduced MDA content in the hippocampus （P<0.05）， a decreased positive expression of ASC， and down-regulated protein levels of Caspase-1， NLRP3， and BDNF （P<0.05， P<0.01）. In addition， compared with the carbamazepine group， Banxia Baizhu Tianmatang + carbamazepine showed improved performance in controlling the seizure， improved the cognitive behavior score and morphology of hippocampal neurons， alleviated the oxidative stress products， lowered the levels of inflammatory factors， reduced the positive expression of ASC in the hippocampus， and down-regulated the expression of Caspase-1， NLRP3 and BDNF， with no significant differences. ConclusionBanxia Baizhu Tianmatang may reduce neuroinflammation， control epileptic seizures， and ameliorate cognitive impairment by inhibiting the expression of NLRP3 inflammasomes.