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.

ObjectiveTo investigate the effect of Tougu Xiaotong capsules （TGXTC） on the regulation of chondrocyte PANoptosis， delay of chondrocyte degeneration， and improvement of the symptoms in knee osteoarthritis （KOA）. MethodsIn vivo experiments： 50 male C57BL/6 mice were randomly assigned into five groups （n=10 per group）： sham operation group， model group， low-dose TGXTC group （7.2 g·kg^-1）， high-dose TGXTC group （14.4 g·kg^-1）， and diclofenac sodium group （0.05 g·kg^-1）. Except for the sham group， KOA models were established in all other groups using the modified Hulth method. Following successful model induction， the TGXTC groups received daily oral gavage of 7.2 or 14.4 g·kg^-1 for 6 weeks， while the diclofenac sodium group received 0.05 g·kg^-1 solution daily over the same duration. Model evaluation was performed using Lequesne MG score； micro-computed tomography （micro-CT） was used to scan the knee， hematoxylin-eosin （HE） staining and safranin O-fast green staining were used to observe the morphology of cartilage， transmission electron microscopy （TEM） was used to determine ultrastructural changes of PANoptosis. Multiple immunofluorescence （IF） co-localization assays was performed to detect the co-localization of cleaved Caspase-3， receptor-interacting protein 3 （RlPK3）， and the N-terminal domain of gasdermin D （GSDMD-N） in cartilage tissue， while western blot was employed to detect the expression levels of cleaved Caspase-3， RIPK3， and GSDMD-N. In vitro experiments： The knee cartilages of 4-week-old SD rats were isolated， and a chondrocyte in vitro culture system was established through mechanical digestion with 0.2% type Ⅱ collagenase. Second-generation chondrocytes were divided into three groups： the control group， the model group （pretreated with 10 mg·L^-1 lipopolysaccharide （LPS） for 24 h followed by treatment with 1 μmol·L^-1 nigericin for 4 h）， and the TGXTC treatment group （pretreated with 10 mg·L^-1 LPS for 24 h， followed by exposure to 1 μmol·L^-1 nigericin for 4 h and subsequently treated with 100 mg·L^-1 TGXTC for an additional 24 h）. The levels of reactive oxygen species （ROS）， apoptosis， necroptosis， and pyroptosis of chondrocytes were evaluated via fluorescence microscopy following staining with ROS detection， AO/EB and YO-PRO-1/PI staining kits. Transmission electron microscopy was utilized to investigate the ultrastructural changes associated with PANoptosis in cartilage tissue of KOA mice. Inflammatory cytokine levels （IL-1β and IL-18） were measured using ELISA. Western blot was conducted to assess protein expressions related to PANoptosis， including cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3. ResultsCompared with the sham group， the Lequesne MG scores were significantly up-regulated（P<0.01） in the model group， and the pathological changes of cartilage were significantly， with joint spaces narrower， osteophyte formation increased， secere abrasion of cartilage surface. Ultrastructural analysis revealed pronounced chondrocyte apoptosis， necroptosis， and pyroptosis， along with markedly elevated expression of cleaved Caspase-3， RlPK3， and GSDMD-N in cartilage tissue （P<0.01）. In addition， The mean fluorescence intensities of ROS， orange-red fluorescence in AO/EB staining， green fluorescence and red fluorescence in YO-PRO-1/PI staining were increased of chondrocyte in the model group （P<0.01） . The levels of inflammatory factors IL-1β and IL-18 in the supernatant were increased （P<0.01）. The expression of PANoptosis related proteins （cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3） were also significantly upregulated（P<0.05）. Compared to the model group， the TGXTC group demonstrated a significant improvement in various parameters of mice. These included a reduction in the Lequesne MG score， an increase in joint space， a decrease in osteophyte formation， diminished cartilage damage， reduced release of ROS， and alleviation of apoptotic， necroptotic， and pyroptotic processes in chondrocytes. Additionally， mitochondrial swelling and endoplasmic reticulum dilation were also mitigated. The levels of ROS as well as IL-1β and IL-18 were significantly decreased （P<0.05）. Furthermore， the expression levels of proteins associated with PANoptosis in cartilage tissue showed marked reductions （P<0.05）. Similar results were observed in chondrocytes： cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3 exhibited significant decreases as well （P<0.05）. ConclusionTGXTC may mitigate chondrocytes degeneration and alleviate KOA symptoms by reducing oxidative stress and suppressing the activation of PANoptosis pathways.

The Pharmacovigilance Guidelines for Clinical Application of Traditional Chinese Medicine Injections （hereinafter referred to as the Guidelines） were released by the China Association of Chinese Medicine， with the standard number T/CACM 1563.4—2024. It is the first specialized guideline in China on the approach to pharmacovigilance activities for the clinical application of traditional Chinese medicine injections （TCMIs）. The Guidelines were jointly developed by the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， along with 30 experts in TCM pharmacovigilance， clinical practice （TCM， as well as integrated traditional Chinese and Western medicine），and evidence-based medicine from across the country. This publication filled the gap in standard documents in this field， both domestically and internationally. The Guidelines were formulated according to GB/T1.1—2020 Directives for standardization—Part 1： Rules for the structure and drafting of standardizing documents， the WHO Handbook for Guideline Development，and other methodological norms. Based on international norms，national laws and regulations，and scientific research results in the field of pharmacovigilance， methods adopted included expert interviews，literature research，nominal group technique， and Delphi method. Then， key points for pharmacovigilance for TCM injections were summarized and clarified in the four critical sections of "monitoring"，"identification"，"assessment"，and "control". The development process of the Guidelines included project initiation， international registration， expert interviews， literature search， and evaluation. Based on the research results of these steps，a draft was formed and revised through multiple rounds of in-group expert discussion and peer evaluations by 56 external experts. After revisions by the working group based on the feedback， the final version was formed. The Guidelines came into effect on January 8，2024，providing suggestions and reference norms for pharmacovigilance in the clinical application of TCMIs. To further promote the application and popularization of the Guidelines and help pharmacovigilance personnel better understand the development process，this study elucidates the background，methodological framework，and key development steps of the Guidelines.

ObjectiveTo investigate the effect of Tougu Xiaotong capsules （TGXTC） on the regulation of chondrocyte PANoptosis， delay of chondrocyte degeneration， and improvement of the symptoms in knee osteoarthritis （KOA）. MethodsIn vivo experiments： 50 male C57BL/6 mice were randomly assigned into five groups （n=10 per group）： sham operation group， model group， low-dose TGXTC group （7.2 g·kg^-1）， high-dose TGXTC group （14.4 g·kg^-1）， and diclofenac sodium group （0.05 g·kg^-1）. Except for the sham group， KOA models were established in all other groups using the modified Hulth method. Following successful model induction， the TGXTC groups received daily oral gavage of 7.2 or 14.4 g·kg^-1 for 6 weeks， while the diclofenac sodium group received 0.05 g·kg^-1 solution daily over the same duration. Model evaluation was performed using Lequesne MG score； micro-computed tomography （micro-CT） was used to scan the knee， hematoxylin-eosin （HE） staining and safranin O-fast green staining were used to observe the morphology of cartilage， transmission electron microscopy （TEM） was used to determine ultrastructural changes of PANoptosis. Multiple immunofluorescence （IF） co-localization assays was performed to detect the co-localization of cleaved Caspase-3， receptor-interacting protein 3 （RlPK3）， and the N-terminal domain of gasdermin D （GSDMD-N） in cartilage tissue， while western blot was employed to detect the expression levels of cleaved Caspase-3， RIPK3， and GSDMD-N. In vitro experiments： The knee cartilages of 4-week-old SD rats were isolated， and a chondrocyte in vitro culture system was established through mechanical digestion with 0.2% type Ⅱ collagenase. Second-generation chondrocytes were divided into three groups： the control group， the model group （pretreated with 10 mg·L^-1 lipopolysaccharide （LPS） for 24 h followed by treatment with 1 μmol·L^-1 nigericin for 4 h）， and the TGXTC treatment group （pretreated with 10 mg·L^-1 LPS for 24 h， followed by exposure to 1 μmol·L^-1 nigericin for 4 h and subsequently treated with 100 mg·L^-1 TGXTC for an additional 24 h）. The levels of reactive oxygen species （ROS）， apoptosis， necroptosis， and pyroptosis of chondrocytes were evaluated via fluorescence microscopy following staining with ROS detection， AO/EB and YO-PRO-1/PI staining kits. Transmission electron microscopy was utilized to investigate the ultrastructural changes associated with PANoptosis in cartilage tissue of KOA mice. Inflammatory cytokine levels （IL-1β and IL-18） were measured using ELISA. Western blot was conducted to assess protein expressions related to PANoptosis， including cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3. ResultsCompared with the sham group， the Lequesne MG scores were significantly up-regulated（P<0.01） in the model group， and the pathological changes of cartilage were significantly， with joint spaces narrower， osteophyte formation increased， secere abrasion of cartilage surface. Ultrastructural analysis revealed pronounced chondrocyte apoptosis， necroptosis， and pyroptosis， along with markedly elevated expression of cleaved Caspase-3， RlPK3， and GSDMD-N in cartilage tissue （P<0.01）. In addition， The mean fluorescence intensities of ROS， orange-red fluorescence in AO/EB staining， green fluorescence and red fluorescence in YO-PRO-1/PI staining were increased of chondrocyte in the model group （P<0.01） . The levels of inflammatory factors IL-1β and IL-18 in the supernatant were increased （P<0.01）. The expression of PANoptosis related proteins （cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3） were also significantly upregulated（P<0.05）. Compared to the model group， the TGXTC group demonstrated a significant improvement in various parameters of mice. These included a reduction in the Lequesne MG score， an increase in joint space， a decrease in osteophyte formation， diminished cartilage damage， reduced release of ROS， and alleviation of apoptotic， necroptotic， and pyroptotic processes in chondrocytes. Additionally， mitochondrial swelling and endoplasmic reticulum dilation were also mitigated. The levels of ROS as well as IL-1β and IL-18 were significantly decreased （P<0.05）. Furthermore， the expression levels of proteins associated with PANoptosis in cartilage tissue showed marked reductions （P<0.05）. Similar results were observed in chondrocytes： cleaved Caspase-3， cleaved Caspase-8， RIPK3， ZBP1， GSDMD-N， and NLRP3 exhibited significant decreases as well （P<0.05）. ConclusionTGXTC may mitigate chondrocytes degeneration and alleviate KOA symptoms by reducing oxidative stress and suppressing the activation of PANoptosis pathways.

The Pharmacovigilance Guidelines for Clinical Application of Traditional Chinese Medicine Injections （hereinafter referred to as the Guidelines） were released by the China Association of Chinese Medicine， with the standard number T/CACM 1563.4—2024. It is the first specialized guideline in China on the approach to pharmacovigilance activities for the clinical application of traditional Chinese medicine injections （TCMIs）. The Guidelines were jointly developed by the Institute of Basic Research in Clinical Medicine， China Academy of Chinese Medical Sciences， along with 30 experts in TCM pharmacovigilance， clinical practice （TCM， as well as integrated traditional Chinese and Western medicine），and evidence-based medicine from across the country. This publication filled the gap in standard documents in this field， both domestically and internationally. The Guidelines were formulated according to GB/T1.1—2020 Directives for standardization—Part 1： Rules for the structure and drafting of standardizing documents， the WHO Handbook for Guideline Development，and other methodological norms. Based on international norms，national laws and regulations，and scientific research results in the field of pharmacovigilance， methods adopted included expert interviews，literature research，nominal group technique， and Delphi method. Then， key points for pharmacovigilance for TCM injections were summarized and clarified in the four critical sections of "monitoring"，"identification"，"assessment"，and "control". The development process of the Guidelines included project initiation， international registration， expert interviews， literature search， and evaluation. Based on the research results of these steps，a draft was formed and revised through multiple rounds of in-group expert discussion and peer evaluations by 56 external experts. After revisions by the working group based on the feedback， the final version was formed. The Guidelines came into effect on January 8，2024，providing suggestions and reference norms for pharmacovigilance in the clinical application of TCMIs. To further promote the application and popularization of the Guidelines and help pharmacovigilance personnel better understand the development process，this study elucidates the background，methodological framework，and key development steps of the Guidelines.

Objective: To explore the network structure of middle school students basic psychological needs and psychological behavioral problems, and identify the core nodes within the network, as well as examine demographic subgroup differences, so as to provide support for targeted mental health interventions for adolescents. Methods: In September and October of 2023, a total of 2 000 junior and senior high school students were selected with multistage cluster random sampling from 8 schools in Jiaojiang District and Tiantai County, Taizhou City. An online self administered questionnaire was used to assess emotional and behavioral problems, perceived autonomy, self awareness, loneliness, and social support. The instruments included the Strengths and Difficulties Questionnaire (SDQ), Perceived Choice and Awareness of Self Scale (PCASS), Mental Health Literacy Questionnaire (MHLQ), University of California,Los Angeles Loneliness Scale (UCLA-LS), and the Multidimensional Scale of Perceived Social Support (MSPSS). A network analysis approach was employed to construct a network representing adolescents basic psychological needs and psychological behavioral problems, focusing on centrality measures and demographic subgroup differences. Results: A total of 418 students (20.9%) reported abnormal emotional and behavioral problems. Perceived autonomy and competence were negatively correlated with emotional problems (weights: 0.12, 0.14) and hyperactivity (weights: 0.10, 0.16). Social support showed negative correlation with peer relationship issues, hyperactivity, and conduct problems (weights: 0.16, 0.13, 0.10). Loneliness was positively correlated with emotional symptoms and peer relationship problems (weights: 0.28, 0.18). In the overall network, perceived relationships (social support and loneliness), emotional symptoms, and hyperactivity emerged as central nodes. Significant differences in network structure were observed between gender subgroups ( P =0.02). Girls internalizing issues were more influenced by loneliness and perceived autonomy frustration, while social support exhibited higher centrality in boys. Conclusions Perceived relationships, emotional problems, and hyperactivity are key nodes in the network of adolescents basic psychological needs and psychological behavioral problems. Loneliness demonstrates a prominent influence within the network, and the overall network exhibits gender differences.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

Objective: To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students. Methods: Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association. Results: Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01). Conclusion Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.

Objective: To explore the longitudinal association between only-child status and smartphone addiction among middle school students, so as to provide a basis for establishing family intervention measures for smartphone addiction in middle school students. Methods: In October 2022 and October 2023, a preliminary survey and follow-up were conducted among 8 759 middle and high school students from 30 schools in a district of Shenzhen. A self-designed questionnaire was used to determine whether the students were the only-child, and the Chinese Version of the Smartphone Addiction Scale-Short Version (C-SAS-SV) was utilized to assess the students smartphone addiction status. A multilevel mixed-effects model and subgroup analysis were applied to examine the association between only-child status and smartphone addiction among middle school students. Results: During 2022 to 2023, the prevalence of smartphone addiction in the cohort of middle school students increased from 24.1% to 25.2%. Compared with only-child, non-only child were more likely to be addicted to smartphones (adjusted model: OR =1.2, 95% CI =1.1-1.4) and also scored higher on smartphone addiction (adjusted model: β =0.9, 95% CI =0.2-1.5)( P <0.05). Subgroup analysis further revealed that compared to baseline, non-only child demonstrated an increased prevalence of smartphone addiction (adjusted model: OR = 1.2 , 95% CI =1.0-1.5) and higher addiction scores (adjusted model: β =0.8, 95% CI =0.2-1.5) after one year( P <0.05). Conclusions Non-only child face higher risk of smartphone addiction. Under the current population policy, it is crucial to address smartphone addiction among middle school students who is not only child.