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 explore the prevalence of bone defect and alveolar bone thickness changes in the mandibular incisors of untreated adults and post-orthodontic treatment adults, with the aim of providing strategies for preventing and managing alveolar bone defects during orthodontic treatment. Methods: This study was reviewed and approved by the Medical Ethics Committee. Clinical records, panoramic radiographs, cephalometric radiographs, and cone beam computed tomography (CBCT) images and informed consent were obtained for 150 untreated adults and 150 post-orthodontic adults. The untreated adults and post-orthodontic adults were respectively divided into three subgroups: skeletal ClassⅠ, Class Ⅱ and Class Ⅲ, with 50 cases per subgroup. Meanwhile, 60 cases with completeness of pre- and post-orthodontic data were enrolled from 150 post-orthodontic adults, including 20 cases each of skeletal ClassⅠ, Class Ⅱ, and Class Ⅲ. Cephalometric radiographs were imported into Dolphin software to measure skeletal parameters. CBCT images were imported into Mimics software to assess alveolar bone defects and to measure alveolar bone thickness of mandibular incisors among three groups: 150 untreated adult groups, 150 post-orthodontic groups and the pre- and post-treatment status of 60 patients selected from the latter group. Results: Untreated adult patients: the prevalence of labial dehiscence and fenestration in the mandibular incisors was higher than that on the lingual side among skeletal ClassⅠ, Ⅱ, and Ⅲ malocclusion patients, and there was a statistically significant difference in the alveolar bone thickness of the mandibular incisors among the three classes. Post-orthodontic treatment adults: for skeletal ClassⅠ and Ⅱ patients, the prevalence of lingual bone dehiscence in the mandibular incisors was significantly higher in the extraction groups than in the non-extraction groups; correspondingly, the lingual alveolar bone was also thinner in the extraction groups; Class Ⅱ non-extraction patients showed a higher prevalence of labial bone fenestration but a lower prevalence of lingual bone fenestration in mandibular incisors compared to Class Ⅱ extraction patients; the orthodontic-orthognathic combined treatment group showed significantly higher prevalence of labial/lingual bone dehiscence and thinner alveolar bone at multiple sites in the mandibular incisors compared to the camouflage group in skeletal Class Ⅲ patients. Comparison of mandibular incisor bone defects and thickness before and after orthodontic treatment in adult patients: in skeletal ClassⅠ and Ⅱ patients treated with premolar extraction and Class Ⅲ patients treated with orthodontic-orthognathic combined treatment, the lingual alveolar bone of mandibular incisors exhibited significant resorption and thinned after treatment, and this was accompanied by an increased prevalence of dehiscence; in non-extraction patients, ClassⅠ non-extraction patients showed thinning of the crestal-labial bone and apical-lingual bone, Class Ⅱ patients showed thinning of the crestal-labial bone and middle-labial bone of the mandibular incisors, along with an increased prevalence of dehiscence Conclusion In malocclusion adults, alveolar bone defects were already present in the mandibular incisors before orthodontic treatment. The alveolar bone defects and thickness in mandibular incisors among post-orthodontic adults were influenced by the treatment plan and Class of skeletal malocclusion.

ObjectiveTo investigate the current awareness and optimization recommendations on pneumonia with unknown etiology (PUE) surveillance among Shanghai healthcare professionals, and to provide evidence for the improvement of the surveillance system. MethodsIn December 2024, healthcare professional participants from diverse medical and health institutions were randomly selected within each stratum using a stratified cluster sampling method in all 16 districts of Shanghai for questionnaire surveys on their knowledge and suggestions for optimization of the PUE surveillance system. Descriptive statistics analyses, multivariate logistic regressions, and content analyses were used for data analyses. ResultsA total of 385 survey subjects were involved in the study, including 119 professional staffs from disease prevention and control centers and 266 from medical institutions. Those who understood the case definition for PUE correctly accounted for 67.01% (258/385). Multivariate regression model analyses showed that female gender (aOR=2.22, 95%CI: 1.36‒3.66), professionals from disease control institutions (aOR=2.02, 95%CI: 1.12‒3.72), and those who self-assessed as being familiar with the monitoring system (aOR=2.18, 95%CI:1.23‒3.89) had better understanding of the definition. Overall, 89.61% (345/385) of the survey subjects acknowledged the necessity of the surveillance system. Small number of cases meeting the case definition (54.46%, 214/379), insufficient diagnostic awareness (39.84%, 151/379), and lack of incentives for case reporting (29.29%, 111/379) were major problems for the current surveillance system, with variations observed across different types of institutions. Suggested segments for optimizing the surveillance system included monitoring purpose, case definition, form of monitoring and reporting procedure, organization mechanism, and epidemiological investigation and response. ConclusionThe necessity of PUE surveillance is commonly recognized among healthcare workers. However, the existing system falls short in terms of mastery of case definition and overall surveillance adaptability. There is an urgent need for optimization and improvement to enhance the capacity for preventing and controlling emerging and sudden respiratory infectious diseases.

ObjectiveTo investigate whether the effect of Danggui Shaoyaosan （DSS） on cognitive impairment is related to its promotion of ketone body metabolism in the brain and regulation of glutamate/α-amino-3-hydroxy-5-methyl-4-isox-azolepropionic acid receptor （AMPAR） pathway. MethodsMale APP/PS1 mice were randomized into model， low-dose （3.2 g·kg^-1） DSS， medium-dose （6.4 g·kg^-1） DSS， high-dose （12.8 g·kg^-1） DSS， ketogenic diet， and inhibitor （talampanel， 5 mg·kg^-1） groups. C57BL/6J wild-type mice were selected as the normal group. The talampanel group was intragastrically administered for 2 consecutive weeks from the 6th week， and the other groups were continuously treated for 8 weeks before behavioral testing. The ultrastructure of synapses in hippocampal CA1 region was observed by transmission electron microscopy， and calcium/calmodulin-dependent kinase Ⅱ （CaMKⅡ） expression was detected by immunohistochemistry （IHC）. The levels of β-hydroxybutyrate （BHB） and lactic acid （LAC） were measured by biochemical kits， and those of glutamate （Glu）， glutamine （Gln）， γ-aminobutyric acid （GABA）， and synaptophysin （SYP） by enzyme-linked immunosorbent assay （ELISA）. The mRNA levels of glutamine synthetase （GS）， glutaminase （GLS）， glutamate decarboxylase （GAD）， CaMKⅡ， and AMPAR subunits GluA1 and GluA2 were quantified by Real-time quantitative polymerase chain reaction （Real-time PCR）， and the protein levels of GS， GLS， GAD， GluA1， and GluA2 by Western blot. ResultsCompared with the normal group， the model group exhibited decreased recognition index， spontaneous alternation rate， and residence time in the target quadrant （P<0.01）， increased escape latency and ratio of the time in the opposite side of the target quadrant to the time in the target quadrant （P<0.05， P<0.01）， damaged synaptic ultrastructure of hippocampal CA1 region， increased positive expression of CaMKⅡ， no significant difference in BHB level， elevated LAC and Glu levels （P<0.01）， declined SYP， Gln， and GABA levels （P<0.01）， downregulated mRNA and protein levels of GS， GAD， and GluA2 （P<0.05， P<0.01）， and upregulated mRNA and protein levels of GLS and GluA1 （P<0.05， P<0.01） and mRNA level of CaMKⅡ （P<0.01）. Compared with the model group， DSS intervention improved the behavioral indexes of mice （P<0.05， P<0.01）， enhanced the synaptic ultrastructure plasticity in hippocampal CA1 region， decreased the positive expression of CaMKⅡ， raised the BHB level （P<0.01）， reduced the LAC and Glu levels （P<0.01）， elevated the SYP， Gln， and GABA levels （P<0.01）， upregulated the mRNA and protein levels of GS， GAD， and GluA2， and downregulated the mRNA and protein levels of GLS and GluA1 （P<0.05， P<0.01） and the mRNA level of CaMKⅡ （P<0.01）. ConclusionDSS can improve the learning and memory and enhance the synaptic plasticity of APP/PS1 mice. Its neuroprotective effect is coupled with the promotion of ketone body formation and remodeling of brain energy metabolism， and is related to the regulation of glutamate/AMPAR pathway.

ObjectiveTo elucidate the critical role of rehabilitation medical records (including electronic records) in rehabilitation medicine's clinical practice and management, comprehensively analyzed the structure, core content and data standards of rehabilitation medical records, to develop a standardized medical record data architecture and core dataset suitable for rehabilitation medicine and to explore the application of rehabilitation data in performance evaluation and payment. MethodsBased on the regulatory documents Basic Specifications for Medical Record Writing and Basic Specifications for Electronic Medical Records (Trial) issued by National Health Commission of China, and referencing the World Health Organization (WHO) Family of International Classifications (WHO-FICs) classifications, International Classification of Diseases (ICD-10/ICD-11), International Classification of Functioning, Disability and Health (ICF), and International Classification of Health Interventions (ICHI Beta-3), this study constructed the data architecture, core content and data standards for rehabilitation medical records. Furthermore, it explored the application of rehabilitation record summary sheets (home page) data in rehabilitation medical statistics and payment methods, including Diagnosis-related Groups (DRG), Diagnosis-Intervention Packet (DIP) and Case Mix Index. ResultsThis study proposed a systematic standard framework for rehabilitation medical records, covering key components such as patient demographics, rehabilitation diagnosis, functional assessment, rehabilitation treatment prescriptions, progress evaluations and discharge summaries. The research analyzed the systematic application methods and data standards of ICD-10/ICD-11, ICF and ICHI Beta-3 in the fields of medical record terminology, coding and assessment. Constructing a standardized data structure and data standards for rehabilitation medical records can significantly improve the quality of data reporting based on the medical record summary sheet, thereby enhancing the quality control of rehabilitation services, effectively supporting the optimization of rehabilitation medical insurance payment mechanisms, and contributing to the establishment of rehabilitation medical performance evaluation and payment based on DRG and DIP. ConclusionStructured rehabilitation records and data standardization are crucial tools for quality control in rehabilitation. Systematically applying the three reference classifications of the WHO-FICs, and aligning with national medical record and electronic health record specifications, facilitate the development of a standardized rehabilitation record architecture and core dataset. Standardizing rehabilitation care pathways based on the ICF methodology, and developing ICF- and ICD-11-based rehabilitation assessment tools, auxiliary diagnostic and therapeutic systems, and supporting terminology and coding systems, can effectively enhance the quality of rehabilitation records and enable interoperability and sharing of rehabilitation data with other medical data, ultimately improving the quality and safety of rehabilitation services.

Objective To investigate the role and clinical significance of Calpain activity and 145 kDa cleavage fragments of αⅡ-spec-trin breakdown products(SBDP145)in systemic lupus erythematosus(SLE).Methods 124 patients with confirmed SLE and de-tailed clinical data were collected as the SLE group,and 75 healthy individuals who underwent physical examination during the same period were selected as the control group.Their serum samples were collected,and serum SBDP145 levels and Calpain activity were de-tected by the enzyme-linked immunosorbent assay(ELISA)and substrate-based method,respectively.The Mann-Whitney U test,Spearman rank correlation,univariate and multivariate Logistic regression,and receiver operating characteristic(ROC)curve were used to evaluate the clinical value of Calpain activity and SBDP145 in the diagnosis and assessment of SLE.Results Compared with healthy controls,serum Calpain activity([17.000[8.5000,33.500]RFU vs 7.500[4.000,12.500]RFU)and SBDP145 levels(5.283[3.532,9.463]ng/mL vs 1.472[0.994,2.212]ng/mL)in SLE patients were significantly increased(Z=-9.229,P<0.001;Z=-6.881,P<0.001).Furthermore,the Calpain activity was significantly correlated with SLE disease activity index(SLEDAI-2K)score(r=0.349,P<0.001).Logistic regression analysis showed that the increased Calpain activity and SBDP145 levels were significantly associated with the occurrence of SLE(OR=1.164,95％CI:1.016-1.334,P=0.029;OR=3.822,95％CI:1.928-7.574,P<0.001).The ROC curve analysis showed that the area under the ROC curve(AUCROC)of serum Calpain activity in distin-guishing SLE and healthy controls was 0.762(95％CI:0.697-0.827).When the cut-off value was 13.75 RFU,its sensitivity and speci-ficity were 63.1％and 81.1％,respectively.The AUCROC of serum SBDP145 levels in distinguishing SLE and healthy controls was 0.891(95％CI:0.845-0.936).When the cut-off value was 2.377 ng/mL,its sensitivity and specificity were 88.7％and 80.0％,re-spectively.The AUCROC,sensitivity,and specificity of combining the two with traditional SLE clinical indicators,including complement C3,erythrocyte sedimentation rate,and anti-dsDNA antibodies,in the diagnosis of SLE reached 0.986(95％CI:0.972-1.000),93.3％,and 96.0％,respectively.The Spearman correlation analysis results showed that the organ damage index(SDI)score of SLE patients was positively correlated with serum Calpain activity and SBDP145 levels(r=0.342,P<0.001;r=0.250,P=0.005).Con-clusion The elevated Calpain activity and SBDP145 levels are closely related to the occurrence and development of SLE,suggesting that they may be served as potential biomarkers for the diagnosis and assessment of SLE patients.

Objective The aim of this study was to explore the effects of changes in the estrogen receptor alpha 36(ER-α36)expression on the proliferation and membrane-initiated estrogen signaling in glioblastoma U251 cells.Methods The expression and localization of ER-α36 and EGFR glioblastoma U87 cells and U251 cells were determined by immunofluorescence,qRT-PCR and Western blot.The effect of upregulating ER-α 36 on U251 cell proliferation and estrogen signaling pathway activity by low con-centrations of 100 pmol/L icariin isomer(SNG162)was detected by MTT assay and Western blot.Results ER-α36 and EGFR were co-expressed in the cell membrane of glioblastoma.Compared with DMSO(control group),the expression ER-α36(P<0.01)and EG-FR increased in U251 cells treated with SNG162(P<0.05);Further experments also found that low concentrations of SNG162 in-creased the expression of cycle related proteins-cyclin D1,cyclin B,cyclin E and CDK4(P<0.01),and enhanced the proliferative a-bility of U251 cells(P<0.05).Conclusion The low concentration of SNG162 upregulates the expression of ER-α36,activates the estrogen-mediated ERK1/2 MAPK,p38 MAPK,and EGFR/Src signaling pathways,promotes glioblastoma proliferation,and activates the membrane initialized estrogen signaling pathway.

The health problems of operators who are not adapted to the special environment of sailing and diving.Ships and submarines are far away from the coast,medical resources are limited,at present the main use of drugs to prevent and control related diseases,but the actual application of the effect is not ideal,many drugs in the treatment of disease at the same time,it will make the operating personnel to produce drowsiness,decreased concentration or drug allergies and other adverse reactions,affecting the implementation of the mission of long-distance voyage.Traditional Chinese medicine focuses on the overall concept,can mobilize the body's self-repair ability,the ability to adapt to the external environment,in the prevention and treatment of disease at the same time,can regulate the body's internal organs function,safeguard the body's function,to ensure the effectiveness of the operator's work,and many of the interventions of traditional Chinese medicine is simple and easy to carry out,is not confined to the environmental limitations of the navigation and diving medicine has a very strong applicability.In this paper,we discuss the mechanism of Traditional Chinese medicine in the body under the environment of navigation and diving,summarize the current status of the application of Traditional Chinese medicine in navigation and diving medicine,and look forward to the future direction of the application of Traditional Chinese medicine,in order to provide a new way of thinking for the research of navigation and diving medicine with Chinese characteristics.

Objective:To apply artificial intelligence（AI）in classifying ovarian tumors on ultrasound images，and compare the diagnostic results of several sonographers with varying seniority levels.Methods:A total of 645 patients diagnosed with adnexal masses via gynecological ultrasound examination at Qilu Hospital of Shandong University from January 2021 to December 2024 were enrolled. Three deep learning architectures，i.e.，Alexnet，Densenet121，and Resnet50 were developed and used to internally test the classification effectiveness of ovarian tumors，while the optimal model was selected for external testing. Two junior sonographers and two senior sonographers were recruited to independently diagnose ovarian tumors in the external test dataset. Subsequently，the benign and malignant results of the model's predictions were disclosed to each sonographer，and their revised diagnoses on the same external test data in combination with the best AI model were recorded.Results:The optimal model achieved an accuracy of 0.941，sensitivity of 0.936，and specificity of 0.944 on the internal test dataset，and maintained robust performance on the external test dataset with accuracy of 0.891，sensitivity of 0.880，and specificity of 0.907. Compared to junior sonographers，the optimal model demonstrated significantly higher sensitivity in discriminating benign from malignant ovarian tumors（0.880 vs. 0.723，0.602；all P<0.05）. No statistically significant difference was observed in diagnostic accuracy between the optimal model and senior sonographer 1（ P=0.05）. With assistance from the optimal model，junior sonographers achieved significant improvements in both sensitivity and specificity（sensitivity：0.723 vs. 0.843，0.602 vs. 0.819；specificity：0.778 vs. 0.833，0.685 vs. 0.741；all P<0.05）. Conclusions:The optimal model achieves comparable performance to that of senior sonographers in ovarian tumor classification. With model assistance，the diagnostic performance of junior sonographers is significantly improved.

Approximately 30%-40% of epilepsy patients do not respond well to adequate anti-seizure medications (ASMs), a condition known as pharmacoresistant epilepsy. The management of pharmacoresistant epilepsy remains an intractable issue in the clinic. Its early prediction is important for prevention and diagnosis. However, it still lacks effective predictors and approaches. Here, a classical model of pharmacoresistant temporal lobe epilepsy (TLE) was established to screen pharmacoresistant and pharmaco-responsive individuals by applying phenytoin to amygdaloid-kindled rats. Ictal electroencephalograms (EEGs) recorded before phenytoin treatment were analyzed. Based on ictal EEGs from pharmacoresistant and pharmaco-responsive rats, a convolutional neural network predictive model was constructed to predict pharmacoresistance, and achieved 78% prediction accuracy. We further found the ictal EEGs from pharmacoresistant rats have a lower gamma-band power, which was verified in seizure EEGs from pharmacoresistant TLE patients. Prospectively, therapies targeting the subiculum in those predicted as "pharmacoresistant" individual rats significantly reduced the subsequent occurrence of pharmacoresistance. These results demonstrate a new methodology to predict whether TLE individuals become resistant to ASMs in a classic pharmacoresistant TLE model. This may be of translational importance for the precise management of pharmacoresistant TLE.
Epilepsy, Temporal Lobe/diagnosis* ; Animals ; Drug Resistant Epilepsy/drug therapy* ; Electroencephalography/methods* ; Rats ; Anticonvulsants/pharmacology* ; Neural Networks, Computer ; Male ; Humans ; Phenytoin/pharmacology* ; Adult ; Disease Models, Animal ; Female ; Rats, Sprague-Dawley ; Young Adult ; Convolutional Neural Networks