1.Expert Consensus on Neurocritical Care Monitoring and Management in Beijing and Tibet(2025)
Drolma PHURBU ; Wenjin CHEN ; Heng ZHANG ; Jian ZHANG ; Xiaomeng WANG ; Guoying LIN ; Wenjun PAN ; Xiying GUI ; Xin CAI ; Chodron TENZIN ; Jianlei FU ; Qianwei LI ; TSEYANG ; Yijun LIU ; Bo LIU ; Tsering DROLMA ; Yudron SONAM ; KYILV ; Samdrup TSERING ; Wa DA ; Juan GUO ; Cheng QIU ; Huan CHEN ; Xiaoting WANG ; Yangong CHAO ; Dawei LIU ; Wenzhao CHAI ; Chenggong HU ; Wanhong YIN ; Shihong ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):59-72
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.
2.450nm semiconductor blue laser vaporization prostatectomy in the treatment of high-risk benign prostatic hyperplasia patients without discontinuing anticoagulant drugs
Yongdi WU ; Jiaqing SUN ; Liang CHAO ; Chen ZHOU ; Dong QIU ; Pengfei SHI
Journal of Modern Urology 2026;31(2):131-134
Objective To evaluate the efficacy and safety of 450nm semiconductor blue laser vaporization prostatectomy in high-risk benign prostatic hyperplasia (BPH) patients without discontinuing anticoagulant drugs, so as to provide a safe and effectiveminimally invasive treatment option for such patients. Methods A total of 40 high-risk BPH patients who underwent 450nm semiconductor blue laser vaporization prostatectomy in our hospital during Sep. 2023 and Dec. 2024 were selected as the research subjects. The patients were divided into two groups: the oral medication group took oral anticoagulants during the perioperative period, while the discontinuation group discontinued anticoagulants, with 20 cases in either group. The perioperative indicators and changes including international prostate symptom score (IPSS), quality of life score (QoL), maximum urinary flow rate (Qmax) and post-void residual (PVR) were compared between the two groups.Results There were no statistically significant differences between the oral medication group and discontinuation group in operation time [(28.83±15.52)min vs. (26.43±14.02)min], postoperative catheter indwelling time [(3.04±0.89) d vs. (3.23±1.01) d], bladder irrigation time [(27.36±7.54) h vs. (25.46±7.10) h], and decrease in hemoglobin [(8.08±1.82)g/L vs. (7.56±1.68)g/L] (all P>0.05). Three month after surgery, Qmax in both groups was higher, while IPSS, QoL and PVR were significantly lower (P<0.05), but there were no statistically significant differences between the two groups (P>0.05). No serious complications such as urinary incontinence or massive hemorrhage occurred.Conclusion 450nm semiconductor blue laser vaporization prostatectomy for high-risk BPH patients is characterized by high vaporization efficiency and good hemostatic effects. It can significantly improve the clinical symptoms with high safety, especially for high-risk patients who cannot discontinue anticoagulants.
3.Investigation of effects of petroleum ether fraction from Derris eriocarpa on glucose and lipid metabolism in a mouse model of metabolic syndrome via ATF3/HNF4ɑ/CYP7A1 pathway
Jing YAN ; Jie WENG ; Xuan ZHANG ; Xue LI ; Chao-nan KONG ; Hong-cun LIU ; Li-fang YANG ; Ming-guo JIANG ; Qiu-yan LIANG ; Li-ting HE
Chinese Traditional Patent Medicine 2025;47(9):2902-2911
AIM To investigate effects of petroleum ether fraction from Derris eriocarpa How on glucose and lipid metabolism in a mouse model of metabolic syndrome(MS).METHODS KM mice were fed a high-fat diet and administered streptozotocin intraperitoneally to establish MS models.The MS mice were then randomly assigned to the model group,the metformin hydrochloride group,the lovastatin group,the ursolic acid group,and the high-,medium-and low-dose D.eriocarpa petroleum ether fraction groups,with 10 mice in each group.Ten additional mice maitained on a normal diet served as the normal control group.After 4 weeks of intragastric administration,glucose and lipid metabolism indicators were measured.Hepatic pathological changes were assessed using HE staining and oil red O staining.Liver tissue mRNA expressions of ATF3,PEPCK,FXR,CYP7A1,HNF4ɑ,CYP8B1 and SRB1 were quantified by RT-qPCR.Hepatic protein expressions of ATF3,HNF4ɑ,PEPCK,FXR and CYP7A1 was analyzed by Western blot in MS mice.RESULTS Compared to the model group,the high-dose D.eriocarpa petroleum ether fraction group exhibited significant glucose tolerance improvement(reduced OGTT-AUC,P<0.01);favorable serum lipid modulation in terms of increased HDL-C levels(P<0.01)and decreased TG,TC,LDL-C(P<0.01);reduced renal biomarkers(BUN,SCR)and hepatotoxic indicators of TBA,AST and ALT activities(P<0.01);alleviated hepatic lipid accumulation and histopathological damage;downregulated mRNA and protein expressions of ATF3,HNF4ɑ and PEPCK,as well as CYP8B1 mRNA expression(P<0.01);and upregulated mRNA and protein expressions of FXR and CYP7A1,along with SRB1 mRNA expression(P<0.01).CONCLUSION D.eriocarpa petroleum ether fraction ameliorates glucose and lipid metabolism dysregulation in MS mice by modulating the ATF3/HNF4ɑ/CYP7A1 signaling pathway,consequently eliciting hypoglycemic,hypolipidemic,hepatoprotective and nephroprotective effects.
4.Analysis on the effect of AI rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma
Weixiang QIU ; Banggui CHEN ; Wanqin WANG ; Shuxiong CAI ; Chao XU ; Ligen HUANG ; Bo ZHANG ; Bing MENG
China Medical Equipment 2025;22(11):137-142
Objective:To analyze the applied effect of artificial intelligence(AI)rehabilitation system combined with telemedicine platform in individualized rehabilitation treatment for patients with long-term coma,so as to realize individual management for them.Methods:An AI rehabilitation system that aimed to patients with long-term coma was designed by integrating data of multimodal sensors included inertial sensor,image sensor and bioelectric sensor.A telemedicine platform,which included seven modules(patient management,consultation management,video communication,data transmission,electronic medical records,cost management and system maintenance),was designed by using a browser/server(B/S)architecture.The changes of patients'condition were followed up,and the full process of the management for rehabilitation treatment and the individualization of treatment plan were realized.A total of 60 inpatients whose coma duration exceeded 28 days were selected from the Coma Awakening Center of Dongguan Shipai Hospital between October 1,2021 and September 30,2022.They were randomly divided into control group(n=30)and observation group(n=30)by random number table.The control group received physical therapy and rehabilitation training based on evaluation results of rehabilitation,while the observation group adopted AI rehabilitation system combined with the telemedicine platform to conduct intervention.The consciousness levels,quality of life,hospital stay duration and treatment costs of two group were compared after intervention.Results:The Glasgow Coma Scale(GCS)scores,Coma Recovery Scale-Revised(CRS-R)scores,and Persistent Vegetative State(PVS)scores of two groups after intervention were significantly higher than those before intervention,and these indicators of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.187,15.586,9.293,P<0.05),respectively.There were not significant differences in Glasgow Outcome Scale(GOS)scores and Activities of Daily Living(ADL)scores between two groups before intervention(P>0.05),and these scores of two groups were significantly increased after intervention,and these scores of observation group were significantly higher than them of control group after intervention,and the differences were significant(t=7.584,6.755,P<0.05).Additionally,the hospital stay duration and treatment costs of observation group were significantly less than those of control group,and the differences were significant(t=20.965,9.503,P<0.05).Conclusion:The intervention of AI rehabilitation system combines with a telemedicine platform on patients with long-term coma can enhance GCS,CRS-R,PVS,GOS and ADL scores,and reduce hospital stay duration and treatment cost.
5.Effect of USP44 and NCOR1 expression on prognosis in non-small cell lung cancer
Yunguo LIAO ; Ziyu TANG ; Dan DENG ; Jingjing GUO ; Shixiang QIU ; Chao LI ; Zhipeng FENG
International Journal of Laboratory Medicine 2025;46(3):261-265
Objective To investigate the effect of ubiquitin-specific peptidase(USP)44 and nuclear receptor co-inhibitor 1(NCOR1)expression on prognosis in non-small cell lung cancer.Methods A total of 98 pa-tients with non-small cell lung cancer admitted to a hospital from May 2019 to May 2021 were selected as the study objects,and non-small cell lung cancer tissues and adjacent tissues were collected to detect the expres-sion levels of USP44 and NCOR1 in these tissues by immunohistochemical staining.The relationship between USP44 and NCOR1 expression and pathological features of non-small cell lung cancer patients was analyzed,and the prognostic factors of non-small cell lung cancer patients were analyzed by multivariate Cox regression.Results The positive expression rates of USP44 and NCOR1 in non-small cell lung cancer tissues were higher than those in adjacent tissues,the difference was statistically significant(P<0.05).The positive expression rates of USP44 and NCOR1 in patients with medium-low differentiation,lymph node metastasis,clinical stageⅢ to Ⅳ,and pleural metastasis were higher than those in patients with highly differentiated,no lymph node metastasis,clinical stage Ⅰ to Ⅱ,and no pleural metastasis,and the difference was statistically significant(P<0.05).The 3-year overall survival rate of USP44 and NCOR1 negative non-small cell lung cancer patients was higher than that of USP44 and NCOR1 positive non-small cell lung cancer patients,and the difference was statistically significant(all P<0.05).Multivariate Cox regression analysis showed that pleural metastasis,USP44 positive and NCOR1 positive were prognostic factors in non-small cell lung cancer patients(P<0.05).Conclusion The expression of USP44 and NCOR1 in patients with non-small cell lung cancer can be used as biomarkers for prognosis assessment,and provide evidence for progression assessment and clinical de-cision making of non-small cell lung cancer.
6.Epimedokoreanin B induces pyroptosis in HepaRG cells through NLRP1/caspase-1/GSDMD signaling pathway
Yu-tong DONG ; Hao-ran HU-YAN ; Li-zhen QIU ; Chao MA ; Shao-xia WANG ; Kun ZHOU
Chinese Pharmacological Bulletin 2025;41(11):2053-2057
Aim To explore the role and mechanism of epimedokoreanin B(EKB)in HepaRG cell pyroptosis through endoplasmic reticulum stress and NLRP1-me-diated pyroptosis pathway.Methods The effect of EKB on the viability of HepaRG cells at different con-centrations was determined by MTT assay,and the cell growth status was recorded by Incucyte.Four groups of HepaRG cells were set up.The control group was cul-tured with complete medium for 24 h;the drug admin-istration group was cultured with three concentration gradients of 6.25,12.5 and 25 μmol·L-1 of EKB for 24 h.Western blot was used to detect the expression levels of endoplasmic reticulum stress-related proteins and pyroptosis-related proteins in the cells of each group.Results HepaRG cells showed cytotoxicity at a concentration of 6.25 μmol·L-1 for 24 h,and the half maximal inhibitory concentration(IC50)was 12.41 μmol·L-1.Incucyte recordings of the cell growth status showed that the cells in the control group were in good growth status,and the vesicular pyropto-sis cells appeared in the different concentrations of EKB and the cells swelled and ruptured after 24 h.Western blot showed that the protein expression levels of endoplasmic reticulum stress-related proteins pERK,eIF-2α,ATF-4,GRP78,and CHOP significantly in-creased in HepaRG cells at 25 μmol·L-1 of EKB compared with the control group.The proteins of the classical pathway of cellular pyroptosis mediated by NLRP1,caspase-1,cleaved caspase-1,GSDMD,GS-DMD-N significantly increased in HepaRG cells.Con-clusion EKB administration induces HepaRG cell py-roptosis,and EKB activates HepaRG cells to undergo endoplasmic reticulum stress and activates the NLRP1/caspase-1/GSDMD-mediated pyroptosis pathway.
7.Epimedokoreanin B induces pyroptosis in HepaRG cells through NLRP1/caspase-1/GSDMD signaling pathway
Yu-tong DONG ; Hao-ran HU-YAN ; Li-zhen QIU ; Chao MA ; Shao-xia WANG ; Kun ZHOU
Chinese Pharmacological Bulletin 2025;41(11):2053-2057
Aim To explore the role and mechanism of epimedokoreanin B(EKB)in HepaRG cell pyroptosis through endoplasmic reticulum stress and NLRP1-me-diated pyroptosis pathway.Methods The effect of EKB on the viability of HepaRG cells at different con-centrations was determined by MTT assay,and the cell growth status was recorded by Incucyte.Four groups of HepaRG cells were set up.The control group was cul-tured with complete medium for 24 h;the drug admin-istration group was cultured with three concentration gradients of 6.25,12.5 and 25 μmol·L-1 of EKB for 24 h.Western blot was used to detect the expression levels of endoplasmic reticulum stress-related proteins and pyroptosis-related proteins in the cells of each group.Results HepaRG cells showed cytotoxicity at a concentration of 6.25 μmol·L-1 for 24 h,and the half maximal inhibitory concentration(IC50)was 12.41 μmol·L-1.Incucyte recordings of the cell growth status showed that the cells in the control group were in good growth status,and the vesicular pyropto-sis cells appeared in the different concentrations of EKB and the cells swelled and ruptured after 24 h.Western blot showed that the protein expression levels of endoplasmic reticulum stress-related proteins pERK,eIF-2α,ATF-4,GRP78,and CHOP significantly in-creased in HepaRG cells at 25 μmol·L-1 of EKB compared with the control group.The proteins of the classical pathway of cellular pyroptosis mediated by NLRP1,caspase-1,cleaved caspase-1,GSDMD,GS-DMD-N significantly increased in HepaRG cells.Con-clusion EKB administration induces HepaRG cell py-roptosis,and EKB activates HepaRG cells to undergo endoplasmic reticulum stress and activates the NLRP1/caspase-1/GSDMD-mediated pyroptosis pathway.
8.Investigation of effects of petroleum ether fraction from Derris eriocarpa on glucose and lipid metabolism in a mouse model of metabolic syndrome via ATF3/HNF4ɑ/CYP7A1 pathway
Jing YAN ; Jie WENG ; Xuan ZHANG ; Xue LI ; Chao-nan KONG ; Hong-cun LIU ; Li-fang YANG ; Ming-guo JIANG ; Qiu-yan LIANG ; Li-ting HE
Chinese Traditional Patent Medicine 2025;47(9):2902-2911
AIM To investigate effects of petroleum ether fraction from Derris eriocarpa How on glucose and lipid metabolism in a mouse model of metabolic syndrome(MS).METHODS KM mice were fed a high-fat diet and administered streptozotocin intraperitoneally to establish MS models.The MS mice were then randomly assigned to the model group,the metformin hydrochloride group,the lovastatin group,the ursolic acid group,and the high-,medium-and low-dose D.eriocarpa petroleum ether fraction groups,with 10 mice in each group.Ten additional mice maitained on a normal diet served as the normal control group.After 4 weeks of intragastric administration,glucose and lipid metabolism indicators were measured.Hepatic pathological changes were assessed using HE staining and oil red O staining.Liver tissue mRNA expressions of ATF3,PEPCK,FXR,CYP7A1,HNF4ɑ,CYP8B1 and SRB1 were quantified by RT-qPCR.Hepatic protein expressions of ATF3,HNF4ɑ,PEPCK,FXR and CYP7A1 was analyzed by Western blot in MS mice.RESULTS Compared to the model group,the high-dose D.eriocarpa petroleum ether fraction group exhibited significant glucose tolerance improvement(reduced OGTT-AUC,P<0.01);favorable serum lipid modulation in terms of increased HDL-C levels(P<0.01)and decreased TG,TC,LDL-C(P<0.01);reduced renal biomarkers(BUN,SCR)and hepatotoxic indicators of TBA,AST and ALT activities(P<0.01);alleviated hepatic lipid accumulation and histopathological damage;downregulated mRNA and protein expressions of ATF3,HNF4ɑ and PEPCK,as well as CYP8B1 mRNA expression(P<0.01);and upregulated mRNA and protein expressions of FXR and CYP7A1,along with SRB1 mRNA expression(P<0.01).CONCLUSION D.eriocarpa petroleum ether fraction ameliorates glucose and lipid metabolism dysregulation in MS mice by modulating the ATF3/HNF4ɑ/CYP7A1 signaling pathway,consequently eliciting hypoglycemic,hypolipidemic,hepatoprotective and nephroprotective effects.
9.Two cases of microsatellite stable locally advanced gastric cancer achieving pathological complete response by laparoscopic total gastrectomy after immunotherapy combined with neoadjuvant chemotherapy
Yuan FANG ; Chao HAN ; Shijun XIANG ; Renchao ZHANG ; Gang CEN ; Qingguo WANG ; Lin YUAN ; Yan XING ; Zhengjun QIU ; Chen HUANG
Chinese Journal of General Surgery 2025;40(4):268-273
Objective:To evaluate immunotherapy combined with neoadjuvant chemotherapy before radical total gastrectomy in microsatellite stable locally advanced gastric cancer in two cases.Methods:Two male patients with clinical stage cT3N 1M0 and microsatellite-stable locally advanced gastric cancer were treated with neoadjuvant chemotherapy with PD-1 inhibitor (Nivolumab) combined with SOX (Oxaliplatin+S-1) for 4 cycles before surgery. Standard laparoscopic assisted total gastrectomy with D 2 lymphadenectomy was performed on Feb 2023 and Oct 2023 respectively after the neoadjuvant treatment. Pathological tumor regression grade(TRG) was observed to assess the degree of tumor regression, and follow-up was conducted to monitor tumor markers and abdominal enhanced CT to detect recurrence. Results:Two patients achieved pathological complete response(TRG0). They were followed up until May 2024 and no recurrence was observed.Conclusion:Preoperative combination of chemotherapy and immunotherapy may provide survival benefit for microsatellite stable locally advanced gastric cancer patients.
10.Research and application of a new deep learning based strategy for platelet histogram review
Enming ZHANG ; Chao YANG ; Xianchun CHEN ; Yan LIN ; Taixue AN ; Haixia LI ; Yongjian HE ; Zhiwei LIU ; Limei FENG ; Wanying LIN ; Tie XIONG ; Kai QIU ; Ya GAO ; Lizhu HUANG ; Jing HE ; Chunyan WANG ; Dehua SUN ; Bo SITU ; Lei ZHENG
Chinese Journal of Laboratory Medicine 2025;48(9):1201-1206
Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

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