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.

Patients with Takayasu arteritis combined with aortic valve disease often have a poor prognosis following surgical valve replacement, frequently encountering complications such as perivalvular leakage, valve detachment, and anastomotic aneurysm. This article presents a high-risk case wherein severe aortic valve insufficiency associated with Takayasu arteritis was successfully managed through transcatheter aortic valve implantation via the transapical approach. The patient had satisfactory valve function with no complications observed during the six-month postoperative follow-up. This case provides a minimally invasive and feasible alternative for the clinical management of such high-risk patients.

To summarize the clinical characteristics, antibody spectrum and neuroelectrophysiological features of autoimmune nodopathy(AN), and to explore the phenotypic differences among different antibody-positive subgroups.

Chemical constituents of n-butanol fraction of ethanol extract from the leaves of Cyclocarya paliurus (Batalin) Iljinskaja were studied. Ten compounds were purified by silica gel, MCI, ODS, Sephadex LH-20 column chromatography and semi-preparative high-performance liquid chromatography. Based on the physicochemical properties and spectroscopic data, these compounds were identified as (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(3′′,5′′-dimethoxy-(E)-p-coumaroyl)]-β-D-glucopyranoside (1), (4S)-4,8-dihydroxy-α-tetralone-5-[6′-(E)-feruloyl]-β-D-glucopyranoside (2), (1S,3R,4S,5R)-4,5-di-O-caffeoyl quinic acid methyl ester (3), (1R,3R,4S,5R)-3,4-di-O-caffeoyl quinic acid methyl ester (4), (3R,5R)-3,4,5-tri-O-caffeoylquinic acid methyl ester (5), (1R,3R,4S,5R)-3-O-caffeoyl-5-O-p-coumaroyl quinic acid methyl ester (6), (1R,3R,4S,5R)-3-O-p-coumaroy-4-O-caffeoyl quinic acid methyl ester (7), (1R,3R,4S,5R)-3-O-caffeoyl-4-O-p-coumaroy quinic acid methyl ester (8), (3R,5R)-3,5-di-O-caffeoyl quinic acid methyl ester (9) and (1S,3R,4R,5R)-4-O-caffeoyl-5-O-feruloyl quinic acid methyl ester (10). Among them, compound 1 was a new compound, and compounds 3–10 were isolated from the genus Cyclocarya for the first time.

Objective To explore the clinical value of albumin-globulin ratio(AGR)combined with prostate-specific antigen(PSA)and Gleason score in predicting biochemical recurrence(BCR)after radical resection in patients with localized prostate cancer, and to provide reference for early identification of BCR high-risk patients and individualized treatment. Methods The clinical data of 114 patients with localized prostate cancer treated during Sep.2019 and Sep.2023 were retrospectively analyzed.According to postoperative BCR status, patients were divided into the BCR group(n=43)and non-BCR group(n=71).Preoperative clinical and pathological data were compared between the two groups.Univariate and multivariate Cox regression analyses were used to assess the correlation between these indicators and BCR.The predictive performance of the combined model was evaluated using receiver operating characteristic(ROC)curve.The Kaplan-Meier method was used to compare biochemical recurrence-free survival(BFS)among patients with different AGR, PSA levels and Gleason scores.Results Compared with the non-BCR group, the BCR group had significantly higher PSA level and ISUP grading, but significantly lower AGR level(P＜0.001).Multivariate Cox regression analyses showed that AGR was negatively correlated with BCR(HR=0.031, 95%CI:0.008-0.119, P＜0.001), PSA was positively correlated with BCR(HR=1.009, 95%CI:1.002-1.016, P=0.017), and Gleason score was positively correlated with BCR(HR=1.551, 95%CI:1.199-2.005, P＜0.001).The area under the ROC curve(AUC)for the combined prediction model(AGR + PSA + Gleason score)was 0.886, with a sensitivity of 90.7% and a specificity of 78.9%.Kaplan-Meier analyses showed that patients in the low AGR group, high PSA group, and high Gleason score group had significantly lower BFS than those in the high AGR group, low PSA group and low Gleason score group, respectively(all P＜0.0001).Conclusion The combination of AGR, PSA and Gleason score is closely associated with postoperative BCR in patients with localized prostate cancer.The combined prediction model demonstrates high predictive efficacy and can provide an important reference for the early identification of high-risk BCR patients and for guiding individualized postoperative treatment.

Objective To explore the current status,hotspots,and frontier directions in the field of hospital research management.Methods Literature related to hospital research management published from January 1987 to March 2025,as in-dexed in the China National Knowledge Infrastructure(CNKI),was retrieved.The visualization software CiteSpace was used to analyze the publication volume,authors,institutions,and keywords.Results A total of 250 Chinese-language articles were in-cluded.The overall publication volume showed a fluctuating upward trend,with the highest number of publications in 2023,reac-hing 26 articles.Notable institutions with higher publication volumes include Chongqing Traditional Chinese Medicine Hospital,the Medical Department of Nanjing General Hospital of the Nanjing Military Region,Tianjin Medical University Cancer Hospital,and Shengjing Hospital of China Medical University.Key authors with more publications include Zhou Laixin,Xu Dixiong,Liu Yuping,and Sun Meng.High-frequency keywords included"research management","hospital","research projects","re-search funding","public hospitals",and"project management",generating 11 clustering labels and 25 emerging terms.Con-clusion The research on hospital research management in China has evolved from conceptual definition and systematic construc-tion to the exploration of innovative strategies,with increasing depth and breadth.The field has yet to form a large-scale,cross-regional author and institutional cooperation network.High-frequency keywords such as"research management","hospital","research projects","research funding","public hospitals",and"project management"represent hotspots in the research.Keywords such as"public hospitals","design",and"research projects"may become the frontier directions for future research in this field.

Objective:To establish a health economics evaluation-based adjustment mechanism for the medical insurance fund package in compact county-level medical community.Methods:A health risk assessment system was designed,with weights determined using the Delphi method.Population health risks were evaluated via rapid assessment methods to calculate health risk scores for each county(city,district),which were then used to determine the medical insurance fund package adjustment amount.Results:The county-level health risk evaluation index system encompassed four dimensions:health risk influencing factor,health protection resource,population health risk,and health level.Through information collection and field surveys,health risk scores for counties(cities,districts)in a case prefecture-level city were obtained,serving as a tool for allocating medical consortium package adjustment funds.Conclusion:The health economics evaluation-based medical insurance fund adjustment mechanism enhances the equity of total medical insurance fund allocation,activates the incentive role of medical insurance in healthcare delivery,and transmits intervention pressure to reduce residents'health risks to public management departments at the county level.This approach realizes mutual benefits among medical insurance,residents,and healthcare providers.

Objective:To investigate the preferences and influencing factors of Traditional Chinese Medicine(TCM)health management services among community healthcare workers,providing a reference for promoting and spreading TCM health management services in communities.Methods:Based on a discrete choice experiment,a questionnaire survey was conducted among 596 community healthcare workers across 9 administrative districts in Beijing.A mixed logit model was used to analyze their preferences.Results:Changes in post-tax monthly income,expected efficacy,single-service duration,technical difficulty,patient compliance,and insurance coverage significantly influenced community doctors'service preferences.Changes in post-tax monthly income had the highest relative importance(35.11%),followed by insurance coverage(34.87%).Preferences varied among healthcare workers with different professional titles,backgrounds,weekly working hours,and whether the service was included in performance evaluations.Conclusion:Both economic and non-economic factors influence community healthcare workers'service preferences to varying degrees.Optimizing the combination of TCM health management service attributes can enhance community healthcare workers'willingness to provide such services.It is recommended to use a combination of economic and non-economic incentive measures and develop differentiated strategies for healthcare workers with different characteristics to meet their service preferences and promote the development of TCM health management services in communities.

Objective:To investigate the preferences and influencing factors of Traditional Chinese Medicine(TCM)health management services among community healthcare workers,providing a reference for promoting and spreading TCM health management services in communities.Methods:Based on a discrete choice experiment,a questionnaire survey was conducted among 596 community healthcare workers across 9 administrative districts in Beijing.A mixed logit model was used to analyze their preferences.Results:Changes in post-tax monthly income,expected efficacy,single-service duration,technical difficulty,patient compliance,and insurance coverage significantly influenced community doctors'service preferences.Changes in post-tax monthly income had the highest relative importance(35.11%),followed by insurance coverage(34.87%).Preferences varied among healthcare workers with different professional titles,backgrounds,weekly working hours,and whether the service was included in performance evaluations.Conclusion:Both economic and non-economic factors influence community healthcare workers'service preferences to varying degrees.Optimizing the combination of TCM health management service attributes can enhance community healthcare workers'willingness to provide such services.It is recommended to use a combination of economic and non-economic incentive measures and develop differentiated strategies for healthcare workers with different characteristics to meet their service preferences and promote the development of TCM health management services in communities.

Objective:To establish a health economics evaluation-based adjustment mechanism for the medical insurance fund package in compact county-level medical community.Methods:A health risk assessment system was designed,with weights determined using the Delphi method.Population health risks were evaluated via rapid assessment methods to calculate health risk scores for each county(city,district),which were then used to determine the medical insurance fund package adjustment amount.Results:The county-level health risk evaluation index system encompassed four dimensions:health risk influencing factor,health protection resource,population health risk,and health level.Through information collection and field surveys,health risk scores for counties(cities,districts)in a case prefecture-level city were obtained,serving as a tool for allocating medical consortium package adjustment funds.Conclusion:The health economics evaluation-based medical insurance fund adjustment mechanism enhances the equity of total medical insurance fund allocation,activates the incentive role of medical insurance in healthcare delivery,and transmits intervention pressure to reduce residents'health risks to public management departments at the county level.This approach realizes mutual benefits among medical insurance,residents,and healthcare providers.