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.

As the population is aging rapidly,the incidence of Alzheimer's disease(AD)is increasing year by year.The World Health Organization stresses that early prevention plays a key role in reducing the incidence of AD.Subjective cognitive decline(SCD)is an early window of AD development,and timely intervention can effectively slow down the progression of the disease or prevent it from developing into dementia,thus reducing the burden on the society.White matter hyperintensity(WMH)can effectively reflect white matter changes and provide strong evidence to identify SCD.In this paper,we review the recent research progress in WMH and SCD,reveal the problems in the current research on WMH,explain the correlation between WMH and SCD in terms of physiopathology and cognitive function,and put forward several suggestions for the future research.
Humans ; White Matter/pathology* ; Cognitive Dysfunction/pathology* ; Alzheimer Disease/pathology* ; Magnetic Resonance Imaging

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.

Objective:To investigate the anatomical characteristics of the atlantoaxial joint associated with nonuniform settlement of the C 2 lateral mass (C 2LM-NUS) and its correlation with atlantoaxial osteoarthritis. Methods:A retrospective analysis was conducted on clinical and imaging data of 522 hospitalized patients (288 males, 234 females; mean age 60.8±11.2 years; range 18-83 years) who underwent CT scans of the head/neck or cervical spine at the Second Affiliated Hospital of Army Medical University between January 1, 2022 and December 31, 2022. Multiplanar reconstruction of CT data was performed to measure the settlement of the C 2 lateral mass (C 2LMS). Patients with a difference in bilateral C 2LMS (d-C 2LMS) >1.4 mm were classified into the C 2LM-NUS group (137 cases; 71 males, 66 females; mean age 63.3±11.6 years), while the normal group included 385 patients (217 males, 168 females; mean age 59.9±11.0 years). Imaging parameters of the atlantoaxial joint were measured, including the C 1, 2 coronal inclination angle (C 1, 2 CI), atlanto-dental interval (ADI), lateral atlanto-dental interval (LADI), coronal deviation angle of the odontoid (Od-CDA), and C 1, 2 relative rotation angle (C 1, 2 RRA). Osteoarthritis prevalence was recorded. A normal C 0-C 3 finite element (FE) model was constructed using CT data from a 48-year-old female in the normal group. A C 2LM-NUS FE model was developed based on anatomical differences between the C 2LM-NUS and normal groups, and stress distribution on the C 2 lateral mass articular surface was analyzed under flexion-extension, lateral bending, and axial rotation torques. Results:The C 2LM-NUS group exhibited asymmetric atlantoaxial joint morphology, with bilateral differences in C 1, 2CI and LADI of 8.5°(5.8°, 11.3°) and 0.8(0.1, 1.4) mm, respectively, significantly greater than those in the normal group [1.7°(0.8°, 2.7°) and 0.2(0.1, 0.5) mm, P<0.05]. Od-CDA and C 1, 2RRA were 3.9°(2.0°, 5.4°) and 7.2°(5.0°, 10.0°) in the C 2LM-NUS group, exceeding the normal group's values [0°(0°, 1.0°) and 0°(0°, 5.5°), P<0.05]. The prevalence of C 2LM-NUS was 37.8% in the atlantoaxial osteoarthritis group, significantly higher than in the non-osteoarthritis group (22.8%, P<0.05). Significant differences were observed in age (68.3±9.4 vs. 58.6±10.8 years), sex distribution (50/69 vs. 238/165), and C 1, 2RRA [5.6°(0°, 8.2°) vs. 3.8°(0°, 6.2°)] between the osteoarthritis and non-osteoarthritis groups ( P<0.05). After adjusting for age, sex, and C 1, 2RRA, binary logistic regression identified C 2LM-NUS as an independent risk factor for atlantoaxial osteoarthritis [ OR=2.024, 95% CI (1.300, 3.150), P<0.001]. FE analysis demonstrated a reduced C 1, 2 range of motion in the C 2LM-NUS model, with elevated stress concentrations on the settled side lateral mass during simulated flexion-extension, lateral bending, and rotation. Conclusions:The study indicated that C 2LM-NUS is associated with asymmetric anatomical changes in the atlantoaxial joint, increasing the risk of osteoarthritis. Stress concentration on the C 2 lateral mass articular surface, caused by C 2LM-NUS, is a biomechanical contributor to this heightened risk.

For centuries, people have been searching for ways to reconstruct the mutilated thumb and fingers. Among the hundreds of operation methods that have appeared, the method of toe transplantation to reconstruct the thumb and fingers, which appeared in the second half of the 19 th century, had the best effect. However, due to the limitation of technical level at that time, only the pedicled toe could be transplanted to reconstruct the thumb and fingers. During the treatment period, the patient was in an inappropriate position where the hand and foot were fixed together for a long time, and the nerve was not repaired, so the thumb and fingers reconstructed after surgery had poor feeling. Therefore, it has not been widely used. It was not until 1966 when Yang Dongyue succussed in reconstructing the thumb using a free toe transplant with blood vessel anastomosis that toe transplantation gradually became the mainstream method of thumb and finger reconstruction. The appearance and function of the thumb and finger reconstructed by toe transplantation are still very different from that of the normal thumb and finger. Moreover, when multiple thumbs and fingers are defective, the transplantation of multiple toes for repair will cause great damages to the foot, so it is not suitable to reconstruct more than three thumb and fingers using toes in the same period. In 2007, Wang Zengtao proposed the concept of "full-finger reconstruction of thumb and fingers" and a series of new operation methods: new fingers were designed and assembled by means of using a variety of tissue combination assembly, which changed the traditional method of toe transplantation to reconstruct thumb and fingers, and the method of replacing thumb and fingers by toes was changed to manufacturing new thumb and fingers so that the toes could be retained and the thumb and fingers could be reconstructed with approximately normal shape and function. In recent years, the concept and series of new operation methods of thumb and finger reconstruction have been popularized at home and abroad. This paper focuses on the development of full-finger reconstruction of thumb and fingers.

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.

Objective To explore whether creatine therapy regulates neuronal ferroptosis by inhibiting the activation of STAT1 signaling pathway associated with suppressor of cytokine signaling 1(SOCS1)in Alzheimer's disease.Methods Immunohistochemical staining and counting of positive results using paraffin sections of human brain frontal lobes were employed to determine the trend of changes in the target proteins.Further validation was performed by immunofluorescence and Western blotting.STAT1 phosphorylation was inhibited by creatine injection using eleven FAD4T mice and by cerebellar medullary pool puncture,and the expression of target proteins was examined by immunohistochemistry and immunofluorescence after postmortem sampling.Results Compared with the age controls,interferon-γ(IFN-γ),an activating cytokine of the STAT1 signaling pathway,and SOCS1,a negative regulator of STAT1 activation,were both significantly up-regulated,STAT1 phosphorylation was enhanced,and the ferroptosis markers ferritin light chain(FTL)and cystine/glutamate transporter(xCT)increased markedly in the cortex of AD human brains;Creatine treatment of FAD4T mice resulted in a reduction of both IFN-γ and SOCS1,and a significant decrease in the ferroptosis markers FTL and xCT(SLC7A11).Conclusion Creatine ameliorates neuronal ferroptosis in AD model mice by reducing neuronal STAT1-SOCS1 signalling activation.

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.