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.

To report two cases of psychiatric symptoms associated with zonisamide, an antiepileptic drug, and raise clinical awareness of this potential adverse effect. Two male patients with epilepsy treated with zonisamide were retrospectively analyzed. Case 1 (25 years old) developed acute emotional and behavioral abnormalities (e.g., insomnia, aggression, incoherent speech) after switching from sodium valproate to zonisamide (200 mg/day). Case 2 (48 years old) had long-term zonisamide use (≥5 years) with persistent treatment-resistant psychotic symptoms (e.g., delusions, command hallucinations). Clinical courses, medication adjustments, and symptom responses were documented. In Case 1, psychiatric symptoms resolved after discontinuing zonisamide and switching to sodium valproate, with improved mood stability and reduced impulsivity. In Case 2, despite escalating antipsychotic medications (risperidone, clozapine), psychotic symptoms persisted, likely due to ongoing zonisamide use. Both cases highlighted zonisamide’s potential to exacerbate or induce psychiatric manifestations, possibly via mechanisms involving sodium/calcium channel inhibition and neurotransmitter dysregulation (e.g., dopamine, serotonin). Zonisamide can cause or worsen psychiatric symptoms, particularly in vulnerable individuals. Clinicians should monitor for mental health changes during zonisamide treatment and consider drug discontinuation or substitution with alternative antiepileptics (e.g., sodium valproate) if psychiatric adverse effects emerge. Awareness of this association is crucial to avoid misdiagnosis and optimize epilepsy management.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

OBJECTIVE To provide scientific reference for perfecting the record-filing management policy of traditional Chinese medicine preparations formulated via traditional processes for medical applications （hereinafter referred to as “TCM preparations”） in medical institutions， and further promote the sound development of the research and record-filing work of such preparations. METHODS A literature review combined with cross-sectional research was carried out. We collected policy documents and preparation information related to the record-filing of TCM preparations issued by national and provincial drug administration authorities on official websites during 2018-2025. A comparative analysis was conducted on the implementation and revision of core policy documents for the registration management of TCM preparations across provinces， the scope of record-filing dosage forms， conditions for rejection of record-filing， and exemptions for registration materials. Statistical analysis on the quantity and dosage forms of record-filing preparations in each province was conducted by means of data induction and trend chart plotting， and targeted suggestions were put forward to optimize the management pathway of record-filing. RESULTS CONCLUSIONS There was obvious heterogeneity in record-filing policies among provinces. Twelve provinces refined the applicable dosage forms for record-filing， fifteen provinces supplemented conditions for rejection of record-filing （16 items in total）， and nine provinces expanded the scope of material exemptions. The number of recorded preparations presented a striking regional imbalance：Qinghai had the largest quantity of 4 269 varieties， while Hainan only had 14 varieties， with a gap of more than 300 times. The recorded preparations were mainly traditional dosage forms including pills （6 928 varieties） and powders （4 360 varieties）. Only 12 provinces formulated the provincial catalog for TCM preparations allocation. In most regions， preparation circulation was only permitted within medical consortia， leading to a low transformation rate of scientific and technological achievements of preparations. It is recommended to optimize the record-filing management pathway from three aspects： strengthening policy standardization while maintaining flexibility， streamlining record-filing procedures and documentary requirements， and reinforcing technical support and achievement transformation. These measures can reduce regional policy differences， improve work efficiency of record-filing， and advance the standardized development and clinical value transformation of hospital-made TCM preparations.

ObjectiveTo construct and evaluate various machine learning models for predicting the risk of chronic obstructive pulmonary disease （COPD） in individuals， thereby providing data support for early screening and intervention. MethodsA total of 823 subjects were selected for this study， comprising 142 individuals in the high-risk group for COPD and 681 individuals in the low-risk group. Data collected included demographic characteristics， smoking history， symptoms （such as cough and shortness of breath）， and scores from the Chronic obstructive pulmonary disease screening questionnaire. Four machine learning algorithms—Logistic regression， random forest， support vector machine， and XGBoost—were utilized to construct risk prediction models. The performance of these models was assessed using 5-fold cross-validation， with evaluation metrics including accuracy， precision， recall， F1-score， area under the receiver operating characteristic curve （AUC）， and average precision （AP）. Furthermore， a feature importance analysis was performed. ResultsThe Logistic Regression model exhibited superior performance， achieving an AUC of 0.982 and an AP of 0.939. This was closely followed by the Random Forest model， which recorded an AUC of 0.975 and an AP of 0.890. Feature importance analysis revealed that smoking history， symptoms of shortness of breath， and body weight were significant predictors. All models demonstrated robust performance in identifying low-risk populations； however， variations were observed in their efficacy in identifying high-risk populations. ConclusionMachine learning models have proven effective in identifying individuals at high risk for COPD. Among these， the Logistic regression model exhibits the best overall performance， efficiently identifying high-risk populations and serving as a valuable clinical auxiliary screening tool. Various models， each with distinct performance characteristics， are suited to different clinical screening scenarios， thereby offering targeted decision-making support for the establishment of a hierarchical and intelligent COPD screening pathway.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

In order to further standardize the vaccination of kidney transplant candidates and recipients in China, the Branch of Organ Transplantation of Chinese Medical Association has organized experts in kidney transplantation and infectious diseases. Based on the "Vaccination of Solid Organ Transplant Candidates and Recipients: Guidelines from the American Society of Transplantation Infectious Diseases Community of Practice", and in combination with the clinical reality of infectious diseases and vaccination after organ transplantation in China, as well as referring to relevant recommendations from home and abroad in recent years, these guidelines are formulated from aspects such as epidemiology, types of vaccines, vaccination principles, target population, and specific vaccine administration. The "Guidelines for Vaccination of Kidney Transplant Candidates and Recipients in China" aims to provide theoretical reference for medical workers in the field of kidney transplantation in China, regarding the vaccination of kidney transplant candidates and recipients. It is expected to better guide the vaccination of kidney transplant candidates and recipients, reduce the risk of postoperative infection, and improve survival outcomes.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Objective To elucidate the anti-aging effect of β-sitosterol(BS),an important component in the fruits of Alpinia oxyphylla Miq.,in C.elegans and its regulatory effect on ETS-5 gene to modulate ferroptosis.Methods C.elegans treated with 10 μg/mL BS were monitored for survival time and changes in body length,motility,and reproductive function.The effect of ETS-5 gene knockdown on survival time of C.elegans was observed,and the changes in fat accumulation and lipid redox homeostasis in the transfected C.elegans were assessed using Oil Red O staining and by detecting MDA levels and the GSH/GSSG ratio.The mRNA expression levels of ferroptosis-related genes(FTN-1,GPX-1 and AAT-9)were detected using qPCR.The effects of BS treatment and ETS-5 knockdown on AAT-9 enzyme activity in C.elegans were examined.The effect of BS on nuclear localization of FEV(the human homolog of ETS-5)was validated in cultured human umbilical venous endothelial cells(HUVECs).Results Both BS treatment and ETS-5 knockdown significantly prolonged the lifespan,promoted lipid accumulation and reduced lipid peroxidation in C.elegans.ETS-5 knockdown resulted in upregulated expressions of the ferroptosis repressors GPX-1,AAT-9 and FTN-1 and increased the GSH/GSSG ratio in C.elegans.Conclusion BS inhibits ferroptosis in C.elegans by suppressing the expression of ETS-5 transcription factor and hence the activity of AAT-9 enzyme,a key gene for ferroptosis,which in turn prolongs the lifespan of C.elegans.