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.

Objective:To compare the efficacy and safety of the gastrointestinal endoscopic super minimally invasive surgery (eSMIS) and the laparoscopic minimally invasive procedure (LS) for the treatment of gastric glomus tumors(GGT).Methods:This study retrospectively included 15 patients with GGT who underwent eSMIS at the First Medical Center of Chinese PLA General Hospital from May 2014 to May 2024. Data on demographic characteristics, surgical indexes, efficacy evaluation indexes, postoperative medical disposition, health economics indexes and postoperative laboratory indexes were collected and analyzed, the patients were followed up for survival outcomes and the postoperative quality of life, efficacy and safety of the two groups were compared.Results:The amount of bleeding in the eSMIS group was lower than that in the LS group: 1.25 (0, 3.75) ml vs. 41.56 (10.00, 50.00) ml, and the surgical cost in the eSMIS group was lower than that in the LS group: 10 792.87 (8 424.90, 12 730.30) yuan vs. 21 773.06 (19 940.60, 24 843.10) yuan, there were statistical differences ( P<0.05). The surgical efficacy, postoperative laboratory indicators and medical treatment convenience between the two groups had no statistical differences ( P>0.05). Conclusions:In the choice of surgical procedures for the treatment of GGT, eSMIS is superior to LS in terms of bleeding and surgical cost, and not inferior to LS in other indicators. This suggested that the treatment of GGT with eSMIS is feasible, safe and effective.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

Objective:To investigate the effect of GBP3 on replication of adult T-lymphocytic leukemia virus type 1(HTLV-1).Methods:Expression of GBP3 in HTLV-1-infected HeLa cell and THP1 cell was detected by Western blot.The knock-down efficiency of siRNAs targeting GBP3 in HeLa and THP1 cells was evaluated by Western blot.Effects of GBP3 overexpression or knockdown on expression of HTLV-1 proviral transcripts Tax,px,HBZ,Gag,ENV,5'UTR,and viral proteins Tax,p19 were investigated by RT-qPCR and Western blot.GTPase-defective mutant of GBP3,GBP3K51A was constructed to explore whether the effects of GBP3 on HTLV-1 infection were dependent on its GTPase activity.Results:GBP3 expression was upregulated in HTLV-1 infected HeLa and THP1 cells.GBP3 overexpression decreased expression of HTLV-1 proviral transcripts and viral proteins,whereas the knockdown of GBP3 has the opposite effects.Overexpression of GBP3K51A increased expression of HTLV-1 proviral transcripts and viral proteins.Conclusion:HTLV-1 virus infection can induce expression of GBP3;overexpression of GBP3 inhibits virus replication and may depend on GTPase.

This study was aimed at investigating the infection status of orf virus(ORFV)and the genetic evolution characteristics of epidemic ORFV isolates from Anhui province.A total of 303 clinical samples collected from major meat sheep breeding cities in An-hui during 2021-2023 were subjected to ORFV detection with fluorescence quantitative PCR(qPCR).The full-length B2L and F1L genes of ORFV in the positive samples were amplified through conventional PCR and sequenced.Genetic evolution analysis of the B2L and F1L genes was conducted after sequencing.The qPCR results indicated a total ORFV positivity rate in the clinical samples of 48.8%(148/303).Multiple sequence comparisons indicated that the B2L genes of 56 sample isolates shared 96.7%-100.0%DNA and 97.4%-100.0%amino acid sequence identity.Moreover,the F2L genes of 56 sample isolates shared 95.1%-100.0%DNA and 95.0%-100.0%amino acid sequence identity.The genetic evolution tree constructed with the B2L gene DNA sequences indicated sample iso-lates and 21 reference strains located in subgroup 1,and 26 sheep-derived sample isolates and 17 reference strains located in sub-group 2.Among them,the goat-derived sample isolate FY-TYA was located in the same sub-branch as the human-derived reference strain Gansu,whereas the goat-derived sample isolate FY-XQC was located in the same sub-branch as the reference strains China Vaccine and OV-HLJ-04.The genetic evolution tree constructed with the F1L gene DNA sequences showed,the goat sample isolates FY-XQA and FY-XQC were located in the same sub-branch as the sheep-derived reference strain Xinjiang.ORFV infection was rela-tively widespread in the major meat sheep breeding areas of Anhui province,and the DNA and amino acid sequences of the B2L and F1L genes of current circulating ORFV isolates showed different degrees of genetic variation,among which F1L gene had a high de-gree of variation.Furthermore,some goat-derived sample isolates were closely related to human,vaccine,and sheep-derived refer-ence strains.These results may serve as a reference for the prevention and control of ORFV infection in Anhui province.

To provide an in-depth interpretation of the background and rationale behind the development of the standard for plastic bottle systems and components for eye drops as outlined in the 2025 edition of the Pharmacopoeia of the People's Republic of China(referred as the Chinese Pharmacopoeia),to facilitate stakeholders thorough understanding of the standard content,and to offer a strong support for its subsequent smooth implementation.Starting from the background of standard construction,an in-depth exploration was conducted into the quality control requirements for plastic bottle systems and components used for eye drops,and a detailed analysis was provided of the logic and rationale behind the establishment of quality control items.Related parties should develop product quality standards based on the general requirements of the guidelines for plastic materials and containers used in pharmaceutical packaging,taking into account the specific characteristics and practical application scenarios of plastic bottle systems and components for eye drops.The standard for plastic bottle systems and components for eye drops in the 2025 edition of the Chinese Pharmacopoeia are more scientific and flexible,which will help improve the quality of eye drop products in our country while also promoting innovation and development in the eye drop packaging industry.

Heat stroke is a heat-related illness caused by an imbalance between the body's heat production and heat dissipation,which could lead to multiple organ dysfunction syndrome with a high mortality rate.Rapid and effective reduction of core body temperature is key to successful treatment.This article reviews recent progress in the treatment of heat stroke,including new understandings of organ injury mechanisms,the timing,velocity and goals of cooling treatment,evaluation and selection of traditional cooling techniques(such as cold water immersion),and scientific evaluation of new cooling technologies(such as blood purification technology and intravascular heat exchange cooling technology),aiming to promote understanding and treatment of heat stroke.

Objective To analyze the characteristics and risk factors associated with postoperative deep vein thrombosis(DVT)of the lower extremities in patients undergoing surgery for lumbar degenerative diseases.Methods A retrospective analysis was conducted on clinical data from 298 patients who were hospitalized for lumbar degenerative diseases and underwent lumbar spine surgery treatment in the First Affiliated Hospital of Nanchang University from October 1,2022 to April 15,2023.Patients were divided into DVT group(n=71)and non-DVT group(n=227)according to whether DVT of the lower limbs occurred within 1 week postoperatively.The incidence and distribution characteristics of postoperative DVT were analyzed.Univariate and binary logistic regression analyses were performed to identify risk factors for DVT,and receiver operating characteristic(ROC)curves were used to determine cut-off values for relevant risk factors.Results A total of 298 patients were included,among whom 159 were males(53.4%)and 139 were females(46.6%),with an average age of(64.5±9.8)years.DVT occurred in 71 patients,and the incidence of lower extremity DVT was 23.8%.In the DVT group,there were 49 cases(69.0%)of intermuscular vein thrombosis,and 22 cases of other types of thrombosis(7 cases of peroneal vein thrombosis,4 cases of posterior tibial vein thrombosis,3 cases of common femoral vein thrombosis,1 case of anterior tibial vein thrombosis,and 7 cases of multiple thrombosis);58 cases(81.7%)had DVT in one lower extremity,and 13 cases(18.3%)had DVT in both lower extremities.Univariate analysis results showed that age,body mass index(BMI),length of hospital stay,history of hypertension,operative time,and intraoperative blood loss were associated with the occurrence of lower extremity DVT after surgery for lumbar degenerative diseases(P<0.05).Binary logistic regression analysis results indicated that older age(OR=1.079,P<0.01),higher BMI(OR=1.130,P=0.01),history of hypertension(OR=2.992,P<0.01),and larger intraoperative blood loss(OR=1.002,P=0.03)were independent risk factors for the occurrence of lower extremity DVT.ROC curve analysis demonstrated that patients with age>58.5 years,BMI>24.01 kg/m2,history of hypertension,and intraoperative blood loss>550 ml had a significantly increased risk of postoperative lower limb DVT.Conclusions The incidence of lower extremity DVT after surgery for lumbar degenerative disease is high,and intermuscular venous thrombosis is more common.Older age,higher BMI,history of hypertension,and larger intraoperative blood loss are independent risk factors for the occurrence of lower extremity DVT after surgery.

Objective To develop a predictive model for postoperative mortality risk in patients with acute aortic dissection(AAD)using the Extreme Gradient Boosting(XGBoost)algorithm combined with Shapley Additive Explanation(SHAP),and to establish a prediction website to serve as a diagnostic and therapeutic support platform for clinicians and patients.Methods A retrospective cohort study design was adopted.Data from 782 AAD patients who underwent surgical treatment at the Fourth Hospital of Hebei Medical University from January 2013 to December 2023 were collected,including basic information and initial serum biomarker test results.Patients were randomly divided into training and test sets at a 7:3 ratio.An external validation set consisting of 313 AAD patients admitted to the Second Hospital of Hebei Medical University from January 2020 to December 2023 was also established for further model validation.Variables were screened using LASSO regression,and an XGBoost machine learning model was constructed and interpreted using SHAP.The predictive performance of the model was evaluated using receiver operating characteristic(ROC)curve analysis.Using the Shiny package,the XGBoost model was deployed to shinyapps.io to create a prediction website for postoperative mortality risk in AAD patients.One patient was selected by simple random sampling from the test set and the external validation set respectively for the prediction example on the Shiny webpage.Results The XGBoost model demonstrated high predictive performance for postoperative mortality in AAD patients,with area under the ROC curve(AUC)values of 0.928(95%CI 0.901-0.956)in the training set,0.919(95%CI 0.891-0.949)in the test set,and 0.941(95%CI 0.915-0.967)in the external validation set.SHAP values indicated the following order of variable importance in the model(from highest to lowest):"lactate dehydrogenase""blood chlorine""multiple organ injury""carbon dioxide combining power""prothrombin time""α-hydroxybutyric acid""creatine kinase isoenzyme""Stanford classification""combined use of bedside blood purification""gender""acute kidney injury""gastrointestinal bleeding""brain injury"and"shock".A risk prediction website for adverse postoperative outcomes in AAD patients was developed using XGBoost-SHAP method(https://dun-dunxiaolu.shinyapps.io/document/)and validated with examples.One randomly selected patient from each of the test and external validation sets was applied:the predicted mortality risk value for patient 1(who died postoperatively)was 0.9539,and that for patient 2(who survived postoperatively)was 0.0206.Conclusions The XGBoost-SHAP model demonstrates high accuracy in predicting postoperative mortality risk for AAD patients.The online prediction tool established based on this model enhances the identification efficiency of high-risk postoperative mortality patients.