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 evaluate the public health governance capacity in Jiangsu Province and provide an optimized pathway for the construction of a “strong, rich, beautiful, and high-quality” new Jiangsu. MethodsA total of 806 policy documents, 658 public information reports, and 148 research literatures related to public health governance capacity in Jiangsu Province from January 1995 to December 2023 were collected. The status of current public health goverance was assessed based on the evaluation criteria suitable for public health systems, and the strengths and the weaknesses of the system were identified. ResultsThe public health governance capability of Jiangsu Province was scored at 738.3 points, ranking 3rd nationally. Maternal health care and emergency response capacities achieved leading positions nationwide, both ranking 2nd. Jiangsu had exhibited a standardized guidance in the strategic level, a well-established management mechanism, an extensive coverage in information collection, and a scientifically established health targets setting. However, bottlenecks remained, including an unclear division of responsibilities across organizational departments, an insufficient public-health workforce, the absence of a stable growth mechanism for government funding investment, and difficulties in promptly identifying public needs. ConclusionJiangsu’s public-health system demonstrates leading nationally, yet several components remain underdeveloped. Future efforts should consolidate advantages while addressing weaknesses, further diversify content and forms, establish a stable funding increase mechanism, and clarify departmental functions, thereby providing solid health support for realizing the developmental goals of a “strong, rich, beautiful and high-quality” new Jiangsu.

ObjectiveTo systematically assess the public health governance capacity in Zhejiang Province, to conduct an in-depth analysis of its strengths and weaknesses, so as to provide scientific basis and strategic recommendations for further enhancement. MethodsA systematic collection of policy documents, public information reports, and research literature related to public health governance capacity in Zhejiang Province from 2002 to 2023 was conducted (encompassing a total of 1 263 policy documents, 138 pieces of information reports and 631 research articles). Based on the evaluation criteria suitable for public health systems previously developed by the research team, the basic status and magnitude of change in public health governance capacity in Zhejiang Province was evaluated. Additionally, normative gap analyses were employed to identify the strengths and weaknesses. ResultsZhejiang Province ranked 4th nationwide in terms of public health governance capacity with a score of 733.4 points (1 000.0-point maximum). The province has effectively implemented the principle of health first (scoring 698.5 points in the assessment of health-first strategy implementation) and attached sufficient importance to health-related goals (scoring 658.2 points in the scientific rationality of goal setting). However, the implementation of inter-departmental coordination and incentive mechanisms only scored 178.7 points, the feasibility of management and monitoring mechanisms scored even lower at only 144.0 points, and the coverage of incentive mechanisms scored 286.0 points. ConclusionZhejiang Province has effectively implemented its health first strategy and attached great importance to health targets, but still needs to strengthen cross-departmental coordination mechanisms and health-oriented incentives.

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.

Objective: To investigate the knowledge and behaviors related to hepatitis B prevention and control among carriers of hepatitis B surface antigen (HBsAg), so as to provide the basis for conducting health education and interventions for HBsAg carriers. Methods: Based on the seroepidemiological survey of hepatitis B among individuals aged 1 to 69 years in Shaanxi Province, HBsAg carriers were selected as the study subjects. Basic information, knowledge and behaviors about hepatitis B prevention and control were collected through questionnaire surveys. The awareness of hepatitis B prevention and control knowledge and related behaviors among HBsAg carriers were analyzed. Results: A total of 107 HBsAg carriers were enrolled, including 52 males (48.60%) and 55 females (51.40%), and had a median age of 47.04 (interquartile range, 19.78) years. The awareness of hepatitis B prevention and control knowledge ranged from 56.07% to 87.85% among HBsAg carriers, with the highest awareness for "hepatitis B vaccination can effectively prevent hepatitis B "(87.85%), and the lowest awareness for "sharing meals with HBsAg carriers or hepatitis B patients will not lead to infection" (56.07%) and "hepatitis B can be treated with antiviral drugs" (61.68%). The proportions of those who did not seek medical consultation, undergo regular check-ups, or receive treatment were relatively high, at 65.42%, 72.90% and 77.57%, respectively. Conclusions The awareness of hepatitis B transmission routes and treatment-related knowledge among HBsAg carriers is relatively low, and their medical-seeking behaviors are relatively passive. There is a need to enhance the dissemination of hepatitis B prevention and control knowledge, improve medical-seeking behaviors, and reduce the risk of hepatitis B virus transmission.

Objective To investigate the protective effects and mechanisms of sulodexide on renal fibrosis induced by prolonged warm ischemia. Methods An in vivo ischemia-reperfusion injury (IRI) model was established in rats, which were randomly divided into Sham group, IRI 60 min group (IRI group), and IRI 60 min + sulodexide group (IRI+SDX group), with 20 rats in each group. Pathological examination was used to evaluate renal tissue injury and fibrosis levels in each group. Immunohistochemistry was performed to detect the expression levels of kidney injury molecule (KIM)-1, intercellular adhesion molecule (ICAM)-1, von Willebrand factor (vWF), transforming growth factor (TGF)-β, α-smooth muscle actin (SMA), and type I collagen (COL-1). Immunofluorescence staining was used to detect CD31 expression. Real-time quantitative polymerase chain reaction was employed to measure the expression of KIM-1, ICAM-1, tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6 in renal tissues. Transmission electron microscopy was used to observe the structure of the renal glycocalyx. Evans blue dye was injected to assess renal vascular permeability. Rat survival was recorded, and serum levels of syndecan (SDC)-1, heparan sulfate (HS) and serum creatinine were measured. An ex vivo perfusion model was also established, with rats randomly assigned to either the hypothermic oxygenated machine perfusion (HOPE) group or the HOPE+SDX group (five rats per group). Perfusion parameters were recorded after 2 hours of ex vivo perfusion. Results One day after reperfusion, compared with the Sham group, the IRI group exhibited more severe renal tissue injury, higher tubular injury scores, increased expression of KIM-1, ICAM-1 and vWF, decreased CD31 expression, elevated serum levels of SDC-1 and HS, increased vascular permeability, and higher expression of TNF-α, IL-1β and IL-6. Compared with the IRI group, the IRI+SDX group showed reduced renal tissue injury, lower tubular injury scores, decreased expression of KIM-1, ICAM-1 and vWF, increased CD31 expression, lower serum levels of SDC-1 and HS, decreased vascular permeability, and reduced expression of TNF-α, IL-1β and IL-6 (all P < 0.05). Ten days after reperfusion, renal tissue injury was further alleviated in the IRI+SDX group. Twenty-five days after reperfusion, the IRI+SDX group exhibited decreased expression of TGF-β, α-SMA, and COL-1, as well as reduced collagen deposition area (all P < 0.05). Compared with the HOPE group, the HOPE+SDX group showed increased renal perfusion flow and decreased intrarenal vascular resistance (both P < 0.01). Conclusions Sulodexide may alleviates renal IRI and fibrosis caused by prolonged warm ischemia by inhibiting inflammatory responses and protecting vascular endothelial glycocalyx.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.