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 identify the structure of the complementarity determining region (CDRs), the V(D)J rearrangement and somatic hypermutational characteristics of the heavy and light chains of a red blood cell blood group-specific monoclonal antibody. Methods: The hybridoma cell line secreting human IgM κ monoclonal anti-P antibody was used as the research object. Total RNA was extracted from cultured monoclonal cell line, and cDNA was obtained by reverse transcription PCR (RT-PCR) using random hexamers primers. It was then amplified and sequenced using primers specific for variable regions of the immunoglobulin heavy and light chains encoding the anti-P antibody. The sequences were aligned against the NCBI database using online Immunoglobulin BLAST (Ig-BLAST) tool. Results: The study determined the structure of the CDRs and framework regions (FRs) of the variable regions of human monoclonal anti-P immunoglobulin, as well as the characteristics of V(D)J rearrangement. Moreover, the closest VH, VD, and VJ germline alleles for the heavy chain and VL and VJ germline alleles for the light chain were also identified. The IgH gene rearrangment pattern of the monoclonal anti-P was IGHV6-1 * 01—IGHD5-18 02—IGHJ4 02 and IgL gene was IGκV1-12 01—IGκJ3 01. Nine base mutations occurred within the germline gene IGHV6-1 01 in variable region of heavy chain, whereas 5 base mutations were found in the germline gene IGκV1-12 01 in variable region of light chain, respectively. Conclusion: This study characterized the CDR structure in monoclonal antibody cell line targeting the high-frequency red blood cell P antigen, and provided a foundation for the construction of recombinant antibody expressing plasmids and transfomation of the immunoglobulin type.

As the core vehicle for preserving and transmitting traditional Chinese medicine（TCM） academic thought and clinical experience， the establishment of a robust quality evaluation system for TCM clinical case reports is a crucial component in the current standardization and modernization of TCM. Based on the practical experience of constructing the China Clinical Cases Library of Traditional Chinese Medicine by the China Association of Chinese Medicine， this study conducted a comprehensive analysis of critical challenges， including insufficient authenticity and unfocused evaluation criteria. It proposed a three-dimensional evaluation framework grounded in the structure-process-outcome logic， encompassing three dimensions of authenticity and standardization， characteristics and advantages， application and translational impact. This framework integrated 12 key evaluation indicators in a systematic manner. The model preserved the academic characteristics of TCM syndrome differentiation and treatment， while aligning with modern scientific research standards， achieving a balance between individualized TCM experience and standardized evaluation. Concurrently， this study provided theoretical foundations and methodological guidance for evaluating the quality of TCM clinical cases， contributing significantly to the inheritance of TCM knowledge， evidence-based practice， and the reform of talent evaluation mechanisms.

: To analyze the prevalence of anemia and iron deficiency among primary and secondary school students in Rural Nutrition Improvement Program areas of Guizhou Province in 2023, and to explore the related factors, so as to provide evidence for Rural Nutrition Improvement Program optimization. Methods: In September 2023, a stratified random cluster sampling strategy was used to select 40 rural compulsory education schools with rural nutrition improvement program in five counties of Guizhou Province. School level questionnaire was employed to collect information of basic characteristics and school meal implementation. A total of 7 826 primary and secondary school students aged 6-16 underwent anthropometry and hemoglobin (Hb) determination; serum ferritin (SF) was additionally measured in a random subsample of 1 795 pupils. Students in Grade 3 and above also completed a questionnaire covering demographic characteristics, dietary behaviours and nutrition knowledge. Group comparisons were conducted by Chi square test or Fisher s exact test, and multivariable Logistic regression models were constructed to identify factors associated with anemia and iron deficiency. Results: The overall Hb level was (133.21±12.95)g/L, with an anemia prevalence of 7.17%. The overall SF level was (69.58±59.01)μg/L, with an iron deficiency prevalence of 2.73%. Multivariable analysis showed that stunting ( OR =1.88), school menus without nutrient calculation ( OR =1.61) and absence of menu planning software in the current semester ( OR =2.34) independently increased anemia risk, whereas obesity reduced it ( OR =0.54) (all P <0.05). Girls ( OR =4.16) and Grades 7-9 ( OR =5.93) increased iron deficiency risk (both P <0.05). Compared with rarely eating fresh vegetables, students with consuming <3 kinds per day ( OR =0.08) or exactly 3 kinds per day ( OR =0.06) had lower iron deficiency risks (both P <0.05). Conclusions Anemia and iron deficiency are prevalent among primary and secondary school students in Guizhou. Targeted intervention measures should be implemented for key populations to enhance the effectiveness of nutrition improvement program.

Objective To evaluate the safety of the 13-valent pneumococcal polysaccharide conjugate vaccine (tetanus toxoid/diphtheria toxoid) (PCV13-TT/DT) among age-eligible children in Tianjin through a combination of active and passive surveillance methods. Methods From July 15, 2023, to August 31, 2024, active surveillance for adverse events following immunization (AEFI) was conducted among recipients of PCV13-TT/DT at 18 selected vaccination clinics in Tianjin. Recipients were monitored through on-site observation or telephone follow-up within 30 minutes after vaccination and on days 1, 3, 7, and 28. Passive surveillance for AEFI was conducted among recipients of PCV13-TT/DT at other vaccination clinics across the city. The incidence of AEFI was analyzed using descriptive epidemiological methods. Results A total of 24 916 recipients of PCV13-TT/DT were observed, with 440 AEFI cases reported, resulting in an overall incidence rate of 176.59 per 10 000. The incidence rate of AEFI in active surveillance was 813.79 per 10 000, significantly higher than that in passive surveillance (20.49 per 10 000; P< 0.001). The incidence rates of general reactions, abnormal reactions, and coincidental cases in active surveillance were 744.44 per 10 000, 8.16 per 10 000, and 61.19 per 10 000, respectively, all of which were higher than those in passive surveillance (18.49 per 10 000, 0.50 per 10 000, and 1.50 per 10 000), with P values < 0.05. General reactions were mainly characterized by fever, local redness, and local induration. Abnormal reactions included angioedema and allergic rash. Coincidental cases were mainly infections. No severe adverse reactions occurred. Conclusion The large-scale vaccination of PCV13-TT/DT after its launch has good safety, and continuous strengthening of vaccine safety monitoring is needed.

Background: Chinese herbal pieces are an essential component of traditional Chinese medicine. Accurate identification and classification of these materials are crucial in clinical practice. Objective: This study aims to enhance the recognition efficiency of Chinese herbal pieces using deep learning technology, while addressing the limitations of traditional manual classification methods in terms of both quality and efficiency. Methods: A comprehensive dataset containing 201 types of Chinese herbal pieces was established. Based on Real-time Detection Transformer (RT-DETR), we designed and integrated a Feature-focused Diffusion Network (FDN), resulting in an improved model termed RT-DETR-FDN. The proposed FDN includes a Feature-focus Module and a feature diffusion mechanism, enabling the model to capture more extensive feature information from Chinese herbal pieces and diffuse it across multiple detection scales. Results: Experimental results show that RT-DETR-FDN achieved a precision of 0.925, a recall of 0.943, and an mAP50-95 of 0.851. In addition, the model was compared with representative You Only Look Once series models commonly used in object detection. Compared with these models, RT-DETR-FDN achieved higher recognition accuracy while maintaining a lightweight architecture. Conclusion: This study integrates deep learning with traditional Chinese medicine, providing a more effective solution for the recognition of Chinese herbal pieces.

AIM:To study the protective effect of transient receptor potential vanilic acid subtype 1(TRPV1)agonist capsaicin(CAP)on traumatic blood loss shock rats,and to further explore its possible mechanism by network pharmacology.METHODS:Forty-five SD rats were divided into 5 groups by random number table method:normal group,shock group,lactated Ringer's solution(LR)group,CAP pretreatment(single administration before shock)group,CAP pre-final administration(twice administration before and after shock)group,with 9 rats in each group for survival observation.Then 32 SD rats were divided into 4 groups according to the results of survival experiment:normal group,shock group,LR group,CAP pre-final administration group,with 8 rats in each group for blood pressure,hemodynamics,arterial blood gas,vascular reactivi-ty and hepaticand renal blood flow.At the same time,the potential mechanism of CAP in the treat-ment of traumatic hemorrhagic shock was investi-gated by network pharmacology.Furthermore,ap-ply the dataset to validate and analyse the diagnos-tic value of the hub genes.RESULTS:Rats in shock group died within hours of the completion of the shock model,and the mean survival time was 1.25(0.42,6.21)h.LR resuscitation could improve the survival of rats to some extent.The survival rate and survival time of rats in the CAP pretreatment group were slightly increased as compared with the LR group,while twice administration of CAP be-fore and after shock(CAP pre-final administration)resulted in better outcomes than LR resuscitation alone.Further results indicated that CAP pre-final administration significantly reduced the blood lac-tic acid level,improved the vasoconstrictive and di-astolic reactivity,and increased the liver and kidney blood flow of shock rats as compared with LR group.The improvement of hemodynamics and blood gas indexes in CAP group was slightly higher than LR group,but there was no statistical signifi-cance.A total of 37 genes related to CAP anti-trau-matic hemorrhage shock were obtained by net-work pharmacology.KEGG enrichment analysis showed that the Ca ion signaling pathway and Ras signaling pathway were significantly enriched.Vali-dation of the dataset showed that the expression levels of CXCR4,NF-kB1,GFPA and NTF3 hub gene were significantly different in the normal and shock groups,and that CXCR4 has a high diagnostic value for traumatic haemorrhagic shock.CONCLUSIONS:CAP,the TRPV1 agonist,significantly improved vas-cular function,increased organ blood flow,and cor-rected the lactic acidosis in rats with traumatic hemorrhagic shock,thus markedly improved the survival outcomes.The mechanism may be related to Ca ion signal pathway and Ras signal pathway.CXCR4,NF-kB1,GFPA and NTF3 may be having an important role in it.

In recent decades,the incidence of human papillomavirus(HPV)-associated oropharyngeal squamous cell carcinoma(OPSCC)has shown a marked increase.Significant changes have also occurred in the OPSCC diagnosis and treatment paradigm.Deter-mining HPV status prior to treatment is now essential,and radiotherapy/chemotherapy,immunotherapy,and minimally invasive surgical techniques have progressively emerged as key modalities for managing OPSCC.However,alongside these paradigm shifts,a comprehen-sive technical consensus guiding the entire diagnostic and therapeutic process for OPSCC patients is currently lacking.Given China's large population base and the rising incidence of OPSCC,an expert panel convened to develop a clinical technical consensus on OPSCC diagno-sis and management tailored to China's specific context.This consensus aims to further enhance and standardize understanding of OPSCC management techniques among relevant healthcare professionals.

Objective:To analyze the characteristics of Hashimoto thyroiditis(HT)and Graves disease(GD),two autoimmune thyroid diseases aged 10-59 in Qingdao City from 2022 to 2024,and to provide scientific basis for making targeted prevention and treatment measures.Methods:A cross-sectional study design was adopted,based on the data of the Regional Health Information Platform in Qingdao,the con-firmed cases of HT and GD from 2022 to 2024 were included,and combined with the data of the seventh population census,the three-year and annual prevalence rates of HT and GD were calculated,and the time trend of annual prevalence was analyzed by Cochran-Armitage trend test.The distribution characte-ristics of HT and GD prevalence in different age groups and regions were analyzed,and Chi-square test was used to compare the differences between the groups.Results:The total number of HT patients among women aged 10-59 in Qingdao City from 2022 to 2024 was 40 362.The proportion of HT patients in 30-34 years old was the highest(19.83％).The proportion of HT patients in Huangdao District was the highest(17.72％).The three-year prevalence of HT was 1 206.53/100 000.In 2022-2024,the annual prevalence of HT increased significantly(P＜0.001),from 385.32/100 000 in 2022 to 1 206.32/100 000 in 2024.The three-year prevalence of HT was significantly different in age distribution(P＜0.001).The three-year prevalence of HT in 25-29 years(2 354.44/100 000)and 35-39 years(2 022.20/100 000)was higher than that in other age groups,showing a bimodal distribution.There were significant differences in the three-year prevalence of HT in different regions(P＜0.001),among which the three-year prevalence of HT in Shinan District was the highest(2 392.90/100 000),followed by Licang Dis-trict(1 492.41/100 000),and Laixi City was the lowest(659.940/100 000).The total number of GD patients was 2 095,among which the proportion of GD patients in the 35-39 age group was the highest(15.42％),and the proportion of GD patients from Jimo District was the highest(12.27％).From 2022 to 2024,the three-year prevalence rate of GD was 62.63/100 000,and the annual prevalence rate of GD showed an increasing trend(P＜0.001),from 20.33/100 000 in 2022 to 62.63/100 000 in 2024.There were significant differences in the prevalence of GD by age(P＜0.001).The three-year prevalence of GD reached the highest value in the 25-29 age group(98.90/100 000),followed by the 35-39 age group(85.21/100 000),and the lowest in the 10-14 age group(14.43/100 000).In the regional distribution,there were significant differences in the 3-year prevalence of GD(P＜0.001).Laoshan District had the highest three-year prevalence of GD(107.58/100 000),followed by Shinan District(97.83/100 000)and Huangdao District(28.92/100 000).Conclusion:The three-year pre-valence of HT and GD in females aged 10-59 years in Qingdao City from 2022 to 2024 is low,but the annual prevalence is on the rise,and the three-year prevalence of HT and GD in females aged 25-39 years is higher than that in other age groups,so it is necessary to strengthen the screening and monitoring of this population.

Objective:To analyze the association between healthcare workers mental health,institu-tional supplies and facilities,inter-organizational coordination during infectious disease outbreaks,and the healthcare institution resilience.Methods:An online questionnaire survey was conducted among the healthcare workforce from 146 institutions in Beijing from January 13,2023 to February 9,2023,and a total of 1 434 eligible respondents were included.The sample comprised 408 responses from tertiary hos-pitals,117 from secondary hospitals,and 909 from primary care institutions.The resilience indicator for healthcare institutions was defined as the degree to which medical services met patient demands,with in-fluencing factors including physical factors,such as material shortages and facility space adaptation or ex-pansion,organizational factors such as information sharing and patient referral,and psychological factors were evaluated using job satisfaction(extrinsic satisfaction,intrinsic satisfaction),burnout(emotional exhaustion,depersonalization,reduced personal accomplishment),and depression status.Ordered mul-ticlassification Logistic regression was used to examine the impact of various factors on the degree to which healthcare services met patient needs;additionally,demographic factors that might influence institutional resilience were controlled.Results:During the emergency response phase,93％of hospitals maintained the capacity to meet patient needs,though tertiary hospitals demonstrated significantly higher rates of service inadequacy(21.05％).Material shortages were reported across all institutions,with tertiary hos-pitals experiencing more frequent multi-item shortages.Inter-institutional collaboration patterns revealed substantial variation:87.50％of primary care facilities,42.86％of secondary hospitals,and 31.58％of tertiary hospitals.Healthcare workers across all levels reported mild depressive symptoms and moderate-to-severe burnout levels.Regression analysis showed high satisfaction(overall satisfaction β=0.04,ex-trinsic satisfaction β=0.06,and intrinsic satisfaction β=0.08),low degree of job burnout(emotional exhaustion β=-0.04,depersonalization β=-0.07 and reduced personal accomplishment β=0.01),low degree of depression(β=-0.06)were significantly associated with higher healthcare institution re-silience.In addition,material shortages were significantly associated with lower resilience,and renova-tion and expansion of treatment spaces,and information sharing,were all associated with higher resilience.Demographic factors(age,gender,marital status,educational background,etc.)had no sig-nificant impact on resilience.Conclusion:Mental health status significantly influences healthcare institu-tion resilience.As human resources constitute the core asset of healthcare institutions,strategic optimiza-tion of workforce allocation and psychological support interventions can effectively strengthen resilience.Moreover,healthcare institution resilience is positively impacted by orderly material supply chains,timely resource distribution,and adaptive reconfiguration of clinical spaces.Finally,facilitating information sharing also enhances institutional resilience.