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.

With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Objective To evaluate the application effect of modified jejunostomy in thoracoscopic Ivor-Lewis esophagectomy. Methods A retrospective analysis of patients who underwent Ivor-Lewis esophagectomy for middle and lower esophageal cancer from 2017 to 2023 in Department of Cardiothoracic Surgery, Anqing Municipal Hospital was performed. The patients from 2017 to 2020 receiving "C+I" in the upper jejunum according to the "C+I" model, with fistula fixed with only two purse-string sutures and the abdominal wall were allocated into a group A. The patients from 2021 to 2023, on the basis of "C+I" suture, with the jejunum and abdominal wall fixed with 3-0 absorbable thread for 1-2 needles at the proximal or distal end of the fistula 10-15 mm, and the upper jejunum and abdominal wall fixed into "curtain" were allocated into a group B. The operation time, jejunostomy time, postoperative pathological stage, and enteral nutrition-related complications such as the incidence of incomplete intestinal obstruction, closed loop intestinal obstruction and intestinal volvulus requiring secondary surgery, skin redness and swelling of intestinal fluid leakage, stoma tube blockage, and accidental extubation were compared between the two groups. Results A total of 243 patients were enrolled in this study. The group A consisted of 118 patients (72 males, 46 females) with a mean age of (64.58±6.30) years. The group B consisted of 125 patients (76 males, 49 females) with a mean age of (65.11±6.81) years. All patients successfully underwent thoracoscopic Ivor-Lewis esophagectomy without perioperative mortality. There were no statistical differences between the two groups in operative time, jejunostomy creation time, or the rate of feeding tube occlusion (P>0.05). However, statistical differences were observed in the incidence of incomplete intestinal obstruction (P=0.035) and closed-loop intestinal obstruction requiring reoperation (P=0.017). The incidence of complications at the stoma site, such as intestinal fluid leakage and redness/swelling, was significantly higher in the group A (n=36) than that in the group B (n=7) (P<0.001). Conclusion The modified jejunostomy can significantly reduce the incomplete intestinal obstruction, closed loop intestinal obstruction and secondary operation rate after "C+I" jejunostomy, and significantly improve the leakage of intestinal fluid at the stoma and the injury of surrounding skin and soft tissue. Improvements in certain technologies reduce operational difficulties.

Objective To analyze the multi-target mechanism of Paeoniflorin in the intervention of oral submucosal fibrosis(OSF)systematically,based on molecular dynamics simulation and network pharmacology.Methods Identify potential targets of Paeoniflorin were predicted by using database.OSF-related disease targets and identified drug-disease intersecting targets were screened.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analysis were conducted to validate the molecular binding capabilities between Paeoniflorin and core targets.Finally,molecular dynamics simulations were performed to verify binding stability.Results A total of 20 overlapping targets were identified,including key genes such as transforming growth factor(TGF)-β1,interleukin(IL)-6,and tumor necrosis factor(TNF)-α.TGF-β1,IL-6,and TNF formed the core hub.The enrichment analysis revealed that the target molecules were significantly enriched in the TGF-β1,phosphatidylinositol 3-kinease-actin(PI3K-Akt),and nuclear factor κB(NF-κB)signaling pathways.Molecular docking confirmed high affinity binding of Paeoniflorin to targets including TGF-β1,while molecular dynamics simulations verified stable interactions between Paeoniflorin and both TGF-β1 and B-cell lymphoma-2 targets.Conclusion This study revealed that Paeoniflorin inhibits the inflammatory-fibrotic cascade of OSF through synergistic regulation of TGF-β1/Smad,PI3K-Akt and NF-κB pathways.

Lung cancer associated with cystic airspaces (LCCA) represents a less common subtype of lung cancer, possessing special morphological features and imaging characteristics. The disease often presents atypically in its early stages, frequently leading to misdiagnosis, especially in the variant with the feature of thin, smooth walls. Although there has been a significant body of research on LCCA in recent years, the focus has predominantly been on the pathogenesis, imaging classification and diagnosis, and the correlation between pathological types and imaging morphology. But, there is a limited number of research on surgical treatment strategies and subsequent management of this condition. Furthermore, postoperative consolidation and internal medical treatments for lung cancer patients necessitate integration with TNM staging, particularly the pathological stage. However, due to the unique morphology of LCCA, the primary tumor assessment (T staging) appears insufficient for accurately predicting the prognosis of the tumor. This article provides a comprehensive review of the etiology and pathogenesis of LCCA, its clinical presentation, imaging and morphological features, diagnosis and differential diagnosis, pathological and genetic mutation characteristics, treatment, and prognosis, thereby serving as a reference for the clinical diagnosis and treatment of LCCA.

OBJECTIVE To explore the colonization rates of carbapenem-resistant gram-negative bacteria(CRGNB)in intestinal tracts of intensive care unit(ICU)patients and analyze the influencing factors.METHODS The ICU patients were recruited from a three-A general hospital of Shanghai from Jan.2024 to Dec.2024,an ac-tive screening was carried out for intestinal tract CRGNB,and the detection rates of 5 types of carbapenems resist-ance genes(CRGs)in the CRGNB strains were observed.The baseline data and hospitalization data before the ac-tive screening were collected from the patients,logistic regression analysis was performed for the influencing fac-tors for the colonization of CRGNB.The effects of targeted infection control measures on length of ICU stay,hos-pitalization cost and prognosis were observed and compared before and after the active screening was carried out.RESULTS A total of 748 patients were included in the active screening,and the colonization rate of CRGNB in intestinal tracts was 11.50％(86/748).Among the CRGs,the detection rate of blaNDM was the highest(6.82％),followed by blaIMP(4.55％)and blaKPC(2.54％).The result of logistic regression analysis showed that,with an increase of 1 each day of hospital stay before the admission to ICUs,the risk was increased by 1.055 times(OR=1.055,95％CI:1.030 to 1.081,P＜0.001),the risk was 0.442 times the use of as aminoglycosides as the use of β-lactams(OR=0.442,95％CI:0.244 to 0.801,P=0.007).The targeted infection control measures that were taken after the active screening shortened the length of hospital stay(Z=-3.514,P＜0.001),reduce the hospitalization cost(Z=3.030,P=0.002)and improve the prognosis of the patients(x2=7.470,P=0.006).CONCLUSIONS The colonization rates of CRGNB in intestinal tracts are high among the ICU patients.It is necessary to reduce the length of hospital stay prior to ICU and strengthen the surveillance of drug-resistant strains and management of antibiotics.

Objective To explore the performance of gallium nitride(GaN)-based digital circuit chips applied in nuclear radiation environments and investigate the feasibility of their use in control chips for robots transporting injured personnel.Methods First,a GaN-based NAND gate digital circuit chip was fabricated.Second,both the GaN-based digital chip and the SN74AHCT1G00 silicon-based digital chip were irradiated with 60Co gamma-ray.The irradiation doses for the GaN-based digital chip were 1 Mrad(Si)and 2 Mrad(Si),while the irradiation dose for the SN74AHCT1G00 silicon-based digital chip was 1 Mrad(Si).Finally,the post-irradiation electrical performance of the two chips was measured using a Keithley 4200A-SCS semiconductor characterization system.Results Under 60Co gamma-ray irradiation doses of 1 Mrad(Si)and 2 Mrad(Si),the response delay of the GaN-based digital circuit chip was only on the order of 0.1 μs.In contrast,the response rate of the SN74AHCT1G00 silicon-based digital circuit chip significantly degraded under 60Co gamma-ray irradiation dose of 1 Mrad(Si),rendering it unable to perform the NAND gate logic function.Conclusion GaN-based digital circuit chips exhibit high radiation resistance in 60Co gamma-ray irradiation environments,with no significant performance degradation.Compared with silicon-based digital circuit chips,they demonstrate considerable advantages and can preliminarily meet the requirements for control chips of robots transporting injured personnel in nuclear radiation environments.

Aim To explore the mechanism of ligustil-ide(LIG)improving demyelination by inhibiting in-flammatory response in mice with distal middle cerebral artery occlusion(dMCAO)through AIM2/caspase-1 signal pathway.Methods Thirty C57BL/6N male mice were randomly divided into three groups:sham operation group(Sham group,n=10),model group(dMCAO group,n=10)and treatment group(LIG group,n=10).The dMCAO mouse model was estab-lished by electrocoagulation in dMCAO group and LIG group.The mice were scored by Longa after waking up,and the changes of cerebral blood flow were moni-tored by laser speckle blood flow imaging system after dMCAO.One hour after modeling,LIG(30 mg·kg-1·d-1)was injected intraperitoneally in LIG group,and the same amount of normal saline was injected in sham group and dMCAO group for one week until the end of the experiment.The mice in each group were stained with TTC,and the brain injury was observed pathologically.Fatigue turning bar test and open field test were used to evaluate the motor function and anxie-ty degree of mice,and then the brain tissues of mice were taken for black gold staining to compare the chan-ges of myelin sheath in each group.Immunofluores-cence staining was used to detect the average fluores-cence intensity of MBP,IBA1 and GFAP in CC,CPU and CX regions of mouse brains.ELISAwas used to de-tect the contents of TNF-α,IL-6,IL-1 β,IL-17A and BDNF in brain tissue proteins of mice.Western blot-ting was used to detect the protein expressions of AIM2,caspase-1 and ASC-in each group.Results Compared with the dMCAO group,the infarct area was reduced,the behavior was significantly improved and the demyelination was reduced in the LIG group.The expression of MBP protein in CC,CPU and CX regions increased(P＜0.05),the expression of IBA1 in CX decreased(P＜0.01),and the expression of GFAP in-creased in CC,CPU and CX regions(P＜0.01).The results of ELISA showed that the levels ofTNF-α(P＜0.01),IL-6(P＜0.01),IL-1β(P＜0.05)and IL-17A(P＜0.01)significantly decreased,while the ex-pression of BDNF increased(P＜0.05).The protein expression levels of AIM2,caspase-1 and ASC in mouse brain decreased after treatment(P＜0.01).Conclusion LIG has a protective effect on demyelina-tion in dMCAO mice,which may be related to the inhi-bition of AIM2/caspase-1 signaling pathway and in-flammation and to the promotion of BDNF secretion.

Aim To investigate the effect of neogam-bogic acid(NGA)on inducing ferroptosis in osteosar-coma K7M2 cells and subcutaneous transplanted tumor mice and explore the underlying mechanism.Methods MTT assay was employed to detect the effect of NGA(1,2,4,8,16,32,64,128 μmol·L-1)on cell prolif-eration,and the IC50 value was calculated.Calcein AM assay was used to detect cell viability.Transwell was applied to detect cell invasion.TEM was utilized to ob-serve the mitochondria morphology.K7M2 cells were subjected to treat with ferroptosis inducers erastin(Era)and inhibitors ferrostatin-1(Fer-1)to assess the levels of MDA,GSH,Fe2+,and LDH.RT-qPCR and Western blot were used to detect the mRNA and protein expression of STAT3,GPX4,and SLC7A11.A transplanted tumor model was established and treated with NGA to assess the impact of it on tumor growth and ferroptosis in vivo.HE staining was applied to ana-lyze the pathological status of tumor tissues.Nile red fluorescence staining was applied to detect the level of lipid components in tumor tissues.Results The pro-liferation,viability and invasion ability of K7M2 cells were significantly reduced after treatment with NGA at different concentrations(P＜0.05),and typical fea-tures of ferroptosis such as decreased mitochondrial vol-ume and reduced mitochondrial spine were observed.Compared to the control,the expression of MDA,Fe2+and LDH significantly increased(P＜0.01),while the content of GSH significantly decreased(P＜0.01).The ferroptosis in osteosarcoma was enhanced by the erastin,while inhibited by ferrostatin-1.In terms of mechanism,NGA inhibited the mRNA and protein ex-pression levels of STAT3,GPX4 and SLC7A11(P＜0.05).In vivo experiments confirmed that NGA signif-icantly improved the pathological state of tumor tissues,inhibited tumor growth,and induced ferroptosis in os-teosarcoma tissue cells.Conclusion NGA induces ferroptosis in osteosarcoma cells both in vitro and in vi-vo by inhibiting the STAT3/GPX4/SLC7A11 signaling axis,thereby exerting an anti-osteosarcoma effect.