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 investigate the mechanism of Yijing decoction to inhibit oxidative stress induced by chronic iron overload and improve ovarian reserve hypofunction in mice. MethodsSeventy-two female C57BL/6J mice with normal estrous cycles were randomly divided into six groups （n=12 per group）：blank group，model group，Yijing decoction（YJD） low-dose group，medium-dose group，high-dose group，and dehydroepiandrosterone （DHEA） group. Mice in the blank group received intraperitoneal injections of normal saline，while those in all other groups were administered iron dextran （Sigma-Aldrich） at a dose of 0.5 g·kg^-1 once weekly for 8 weeks to establish a chronic iron overload model. Following the final injection，interventions were initiated and continued for 4 weeks. The low，medium，and high dose groups of YJD received oral gavage of Yijing decoction aqueous solution at doses of 18.165， 36.33，and 72.66 g·kg^-1·d^-1，respectively. The DHEA group received DHEA aqueous solution at 10.812 5 mg·kg^-1·d^-1. The blank and model groups received an equivalent volume of distilled water by gavage once daily. Body weight was recorded weekly，and food intake was monitored throughout the treatment period. Vaginal smears were collected daily and stained with hematoxylin-eosin （HE） to assess estrous cycle regularity. At the end of the experiment，mice were euthanized，and bilateral ovaries and uteri were rapidly excised and weighed to calculate ovarian and uterine indices （mg·g^-1）. Ovarian tissues were fixed，embedded，and sectioned for hematoxylin and eosin （HE） staining to evaluate histopathological changes. Iron deposition in ovarian tissue was visualized using Prussian blue staining. Serum levels of follicle-stimulating hormone （FSH），luteinizing hormone （LH），estradiol （E₂），and anti-Müllerian hormone （AMH） were measured by enzyme-linked immunosorbent assay （ELISA）. Malondialdehyde （MDA） content and superoxide dismutase （SOD） activity in ovarian homogenates were determined using commercial biochemical assay kits. Reactive oxygen species （ROS） levels in ovarian tissue were assessed by ROS fluorescence staining on frozen sections. Mitochondrial ultrastructure in ovarian tissue was examined by transmission electron microscopy （TEM）. Total RNA was extracted from ovarian tissue for real-time quantitative polymerase chain reaction （Real-time PCR） to quantify mRNA expression of ferritin heavy chain 1 （Fth1），ferritin light chain （Ftl），transferrin （Tf），transferrin receptor 1 （Tfr1），catalase （Cat），and glutathione peroxidase 1 （GPX1）. Protein expression levels of Fth1，Ftl，Tf，Tfr1，and glutathione peroxidase 4 （GPX4） were analyzed by Western blot. ResultsCompared with the blank group，mice in the model group exhibited significantly reduced body weight and severe estrous cycle disruption （P<0.01），a markedly increased uterine index （P<0.01），and a significantly decreased ovarian index （P<0.01）. The number of antral follicles was significantly reduced，while atretic follicles were markedly increased，accompanied by pronounced iron deposition in the ovarian stroma. Serum levels of AMH and E₂，as well as ovarian SOD activity，protein and mRNA expression of Tf and Tfr1，and mRNA levels of GPX1 and Cat were all significantly downregulated （P<0.05，P<0.01）. Conversely，serum FSH and LH levels，MDA content，protein and mRNA expression of Fth1 and Ftl，and ROS fluorescence intensity were significantly elevated （P<0.05，P<0.01），along with a marked decrease in GPX4 protein expression （P<0.01）. TEM revealed an increased number of damaged mitochondria in ovarian tissue，characterized by loss or disappearance of mitochondrial cristae. Compared with the model group，treatment with low，medium，and high doses of YJD and DHEA significantly improved body weight and ameliorated estrous cycle irregularities （P<0.05，P<0.01），decreased the uterine index （P<0.05），and increased the ovarian index （P<0.05，P<0.01）. These groups also showed increased numbers of antral follicles，reduced atretic follicles，and significantly diminished iron deposition in the ovarian stroma. Serum AMH and E₂ levels，ovarian SOD activity，protein and mRNA expression of Tf and Tfr1，and mRNA levels of GPX1 and Cat were all significantly upregulated （P<0.05，P<0.01）. In contrast，serum FSH and LH levels，MDA content，protein and mRNA expression of Fth1 and Ftl，and ROS fluorescence intensity were significantly reduced （P<0.05，P<0.01），while GPX4 protein expression was markedly increased （P<0.01）. Moreover，mitochondrial damage was alleviated，and mitochondrial ultrastructure was notably restored in ovarian tissue. ConclusionYijing decoction ameliorates ovarian reserve function in mice with chronic iron overload by upregulating the expression of Tf，Tfr1，and GPX4，downregulating the expression of Ft，Fth1，and Ftl，thereby alleviating systemic iron metabolism disorders，reducing oxidative stress in ovarian tissue，and restoring mitochondrial morphology and structure.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

This study employed 16S r RNA gene high-throughput sequencing and metabolomics to explore the mechanism of Angelicae Dahuricae Radix polysaccharides(RP) in the treatment of ulcerative colitis(UC). A mouse model of UC was induced with 2. 5% dextran sulfate sodium. The therapeutic effects of RP on UC in mice were evaluated based on changes in body weight, disease activity index( DAI), and colon length, as well as pathological changes. RT-qPCR was performed to assess the m RNA levels of interleukin(IL)-6, IL-1β, tumor necrosis factor(TNF)-α, myeloperoxidase(MPO), mucin 2(Muc2), Occludin, Claudin2, and ZO-1 in the mouse colon tissue. ELISA was employed to measure the expression of IL-1β and TNF-α in the colon tissue. The intestinal permeability of mice was evaluated by the fluorescent dye permeability assay. Immunohistochemistry was employed to detect the expression of Muc2 and occludin in the colon tissue. Changes in gut microbiota and metabolites were analyzed by 16S r RNA sequencing and ultra-high-performance liquid chromatography coupled with quadrupole-orbitrap mass spectrometry( UPLC-Q-Exactive Plus Orbitrap MS), respectively. The results indicated that low-dose RP alleviated general symptoms, reduced colonic inflammation and intestinal permeability, and promoted Muc2 secretion and tight junction protein expression in UC mice. In addition, low-dose RP increased gut microbiota diversity in UC mice and decreased the relative abundance of harmful bacteria such as Ochrobactrum and Streptococcus. Twenty-seven differential metabolites were identified in feces, and low-dose RP restored the levels of disturbed metabolites. Notably, arginine and proline metabolism were the most significantly altered amino acid metabolic pathways following lowdose RP intervention. In conclusion, RP can ameliorate general symptoms, inhibit colonic inflammation, and maintain intestinal mucosal barrier integrity in UC mice by modulating gut microbiota composition and arginine and proline metabolism.
Animals ; Gastrointestinal Microbiome/drug effects* ; Colitis, Ulcerative/genetics* ; Mice ; Male ; Drugs, Chinese Herbal/administration & dosage* ; Polysaccharides/administration & dosage* ; Angelica/chemistry* ; Humans ; Colon/metabolism* ; Disease Models, Animal ; Mucin-2/metabolism* ; Tumor Necrosis Factor-alpha/metabolism*

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To predict and preliminarily validate potential shared key genes involved in cardiac complications caused by influenza A virus(IAV)and severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)infections.Methods Differentially expressed genes(DEGs)associated with cardiac complications were obtained from the Gene Expression Omnibus(GEO)database.A hierarchical intersection strategy was applied.First,cardiac complication related DEGs were overlapped with 2 independent virus related gene sets:3 454 human genes linked to IAV infection in GeneCards and 333 human protein-coding genes interacting with SARS-CoV-2 in the Human Protein Atlas.The 2 overlap results were then intersected to yield 22 hub genes.Lasso regression,random forest(RF)and support vector machine algorithms(SVM)were employed to refine this list.Predicted genes were validated in vitro in H1N1-infected human cardiomyocyte AC16 cells and in vivo in IFITM3 knockout mice challenged with H1N1,assessing transcriptional changes.Results A total of 22 hub genes were identified through integrative bioinformatics analysis.Application of the 3 machine learning algorithms resulted in 5 common key genes:ACE2,TBK1,NUP210,PUSL1,and MEPCE.In vitro infection of AC16 cells with H1N1 revealed dynamic transcriptional changes in all 5 genes post-infection(P<0.05).In vivo experiments using H1N1-infected IFITM3 knockout mice confirmed the dynamic mRNA expression changes of these 5 genes,consistent with the in vitro results(P<0.05).Conclusion By combining multilayered bioinformatics analysis with 3 machine learning approaches,5 common key genes are identified:ACE2,TBK1,NUP210,PUSL1 and MEPCE.Validation in H1N1 infection models confirms their relevance to IAV-induced cardiac complications.

Objective: To evaluate the clinical effect of blood transfusion treatment in elderly critically ill patients under different blood transfusion initiation thresholds. Methods: A total of 144 elderly critically ill patients aged >70 years who underwent red blood cell transfusion in the elderly intensive care unit (ICU) of our hospital from January 2021 to January 2023 were included. According to different blood transfusion initiation thresholds, the patients were divided into restrictive blood transfusion group (n=77, Hb<70 g/L before blood transfusion) and liberal blood transfusion group (n=67, Hb 70-100 g/L before blood transfusion). Acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, estimated mortality and general data collection were performed when the two groups of patients entered the ICU. Blood transfusion details of these patients in the ICU were collected and documented, including pre-transfusion Hb levels, volume and number of red blood cell transfusion, and post- transfusion Hb levels. Propensity score matching (PSM) was used to match the baseline data of the two groups of patients, and the clinical outcomes were compared and analyzed after matching. Results: After PSM matching, 52 pairs of patients were successfully matched. The matched restrictive and liberal transfusion groups showed comparable characterists, including age, APACHE Ⅱ score, the number of cases with APACHE Ⅱ score >20, estimated mortality, incidence of comorbidities and primary diseases (P>0.05). The number of red blood cell transfusions and transfusion volume (U) in the ICU of the two groups were 7.77±4.73 vs 12.19±10.41, 11.64±7.65 vs 19.14±16.14 (all P<0.05), and the Hb levels (g/L) before and after red blood cell transfusion in the ICU was 59.92±5.98 vs 77.44±8.60,77.88±17.21 vs 87.56±15.23 (all P<0.05). In terms of clinical outcomes, there was no significant difference between the two groups (all P>0.05): ICU length of stay (d) 39.56±36.80 vs 40.10±49.29, three-week mortality rate (%) 21.2 vs 21.2, in-hospital mortality rate (%) 46.2 vs 53.9, mortality rate in subgroup with APACHE Ⅱ score ≤ 20 (%) 11.5 vs 1.9, the incidence of severe infection (%) 78.8 vs 73.1, the incidence of heart failure (%) 57.7 vs 44.2, and the incidence of pulmonary edema (%) 26.9 vs 19.2. Conclusion: Elderly ICU patients can tolerate lower blood transfusion thresholds. Therefore, the restrictive transfusion strategy can reduce the total amount of blood transfusion, save valuable blood resources, and achieve the same blood transfusion effect as the liberal transfusion strategy.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.