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.

Alcoholic liver disease(ALD), a major cause of chronic liver disease worldwide, poses a serious threat to human health. Despite the availability of various drugs for treating ALD, their efficacy is often uncertain, necessitating the search for new therapeutic approaches. Traditional Chinese medicine polysaccharides have garnered increasing attention in recent years due to their versatility, high efficiency, and low side effects, and they have demonstrated significant potential in preventing and treating ALD. Emerging studies have suggested that these polysaccharides exert their therapeutic effects through multiple mechanisms, including the inhibition of oxidative stress and the regulation of lipid metabolism, gut microbiota, and programmed cell death. This review summarizes the recent research progress in the pharmacological effects and regulatory mechanisms of traditional Chinese medicine polysaccharides in treating ALD, aiming to provide a scientific basis and theoretical support for their application in the prevention and treatment of ALD.
Humans ; Liver Diseases, Alcoholic/metabolism* ; Polysaccharides/administration & dosage* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Oxidative Stress/drug effects* ; Medicine, Chinese Traditional ; Gastrointestinal Microbiome/drug effects* ; Lipid Metabolism/drug effects*

Metal ion-promoted chemodynamic therapy(CDT) combined with photodynamic therapy(PDT) offers broad application prospects for enhancing anti-tumor effects. In this study, glycyrrhizic acid(GA), copper ions(Cu~(2+)), and norcantharidin(NCTD) were co-assembled to successfully prepare a natural small-molecule, carrier-free hydrogel(NCTD Gel) with excellent material properties. Under 808 nm laser irradiation, NCTD Gel responded to the tumor microenvironment(TME) and acted as an efficient Fenton reagent and photosensitizer, catalyzing the conversion of endogenous hydrogen peroxide(H_2O_2) within the tumor into oxygen(O_2), and hydroxyl radicals(·OH, type Ⅰ reactive oxygen species) and singlet oxygen(~1O_2, type Ⅱ reactive oxygen species), while depleting glutathione(GSH) to stabilize reactive oxygen species and alleviate tumor hypoxia. In vitro and in vivo experiments demonstrated that NCTD Gel exhibited significant CDT/PDT synergistic therapeutic effects. Further safety evaluation and metabolic testing confirmed its good biocompatibility and safety. This novel hydrogel is not only simple to prepare, safe, and cost-effective but also holds great potential for clinical transformation, providing insights and references for the research and development of metal ion-mediated hydrogel-based anti-tumor therapies.
Hydrogels/chemistry* ; Animals ; Photochemotherapy ; Humans ; Mice ; Antineoplastic Agents/administration & dosage* ; Photosensitizing Agents/chemistry* ; Neoplasms/metabolism* ; Female ; Copper/chemistry* ; Reactive Oxygen Species/metabolism* ; Tumor Microenvironment/drug effects* ; Cell Line, Tumor ; Male

Objective:This study retrospectively analyzed the clinical characteristics of patients newly diagnosed with acute myeloid leukemia (AML) who were admitted to the hematology intensive care unit (HCU) with critical illness. It also examined factors associated with critical illness and early mortality in these patients.Methods:Clinical data were collected from 91 newly diagnosed AML patients admitted to the HCU of the Department of Hematology, First Affiliated Hospital of Soochow University, from October 2020 to 2024. Reasons for HCU admission, major therapeutic interventions, and risk factors for critical illness and early mortality were analyzed.Results:The median time from diagnosis to HCU admission was 3 days ( IQR: 3–9 days), and the median HCU stay was 10 days ( IQR: 3–23 days). Of the 91 patients, 71 were admitted to the HCU before induction chemotherapy, while 20 were transferred to the HCU after its initiation. The leading causes of HCU admission were pulmonary infection (78.0% ), respiratory failure (44.0% ), hepatic insufficiency (28.6% ), renal insufficiency (27.5% ), disseminated intravascular coagulation (DIC; 25.3% ), and sepsis (23.1% ). Median Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE Ⅱ) and SOFA scores at HCU admission were 14 ( IQR: 11–18) and the median Sepsis Related Organ Failure Assessment (SOFA) score was 7 ( IQR: 4, 10). Major HCU interventions included vasoactive drugs, noninvasive and invasive mechanical ventilation, continuous renal replacement therapy, therapeutic leukocyte clearance, and cardiopulmonary resuscitation. Among patients receiving induction chemotherapy, the composite complete remission rate was 65.4%, and the overall remission rate was 88.5%. Thirty-five (38.5% ) patients died within 28 days of HCU admission. Independent risk factors for 28-day mortality were DIC ( OR=9.350, 95% CI 1.999–43.745, P=0.005), sepsis ( OR=6.817, 95% CI 1.571–29.582, P=0.010), and cardiac insufficiency ( OR=12.281, 95% CI 2.385–63.254, P=0.003) . Conclusion:The main reason for HCU admission in newly diagnosed critically ill AML patients was pulmonary infection. Nearly 40% of patients experisenced early death, and DIC, sepsis, and heart failure were factors influencing early mortatlity.

This report presents the management of a critically ill 36-year-old woman diagnosed with Philadelphia chromosome-positive acute lymphoblastic leukemia (Ph +ALL) at 28 weeks of gestation. The patient rapidly deteriorated, developing disseminated intravascular coagulation (DIC) , diffuse alveolar hemorrhage (DAH) , septic shock, and multi-organ dysfunction, necessitating admission to the hematological intensive care unit. Given her critical condition and advanced pregnancy, a chemotherapy-free induction regimen comprising imatinib and dexamethasone was initiated, alongside comprehensive supportive measures, including mechanical ventilation, continuous renal replacement therapy (CRRT) , broad-spectrum antibiotics, and high-dose corticosteroids. During treatment, intrauterine fetal demise occurred, and a stillborn was delivered following obstetric intervention. With aggressive treatment, the patient's respiratory failure, DIC, and DAH gradually resolved, and she achieved complete remission. She subsequently received consolidation chemotherapy, CAR-T cell therapy, and allogeneic hematopoietic stem cell transplantation, achieving sustained complete molecular remission on long-term follow-up. This case demonstrates that for critically ill pregnant patients with Ph + ALL, a chemotherapy-free regimen of targeted therapy and corticosteroids, when combined with intensive supportive care, is a safe and effective approach that may offer a therapeutic option for similar cases.

Objective:To evaluate the impact of donor characteristics on the prognosis of myelodysplastic syndrome (MDS) patients undergoing haplo-identical transplantation (HIDT) .Methods:A retrospective analysis of 203 MDS patients who received HIDT was conducted to evaluate how donor factors influenced transplant outcomes.Results:In MDS patients undergoing haploidentical transplantation, donors over 50 years were associated with higher EBV reactivation (2-year cumulative incidence 42.9% vs 22.0% for <50 years old; P=0.010). Female donors were linked to increased severe chronic GVHD compared with male donors (2-year incidence 11.9% vs 4.0% ; P=0.017). Additionally, 2-year overall survival (OS) was slightly lower with female donors than male donors (56.6% vs 69.7% ), but the difference was not statistically significant ( P=0.073). Donor-recipient blood type did not affect post-transplant OS or cumulative relapse rates. Donor-recipient kinship analysis revealed that child donors, compared to haploidentical sibling or parent donors, had lower rates of grade Ⅱ–Ⅳ acute GVHD (27.2% vs 45.7% vs 53.5%, P=0.007) and 2-year EBV reactivation (13.9% vs 29.3% vs 38.9%, P=0.001). For donors under 20 years, donor gender did not significantly affect 2-year OS ( P=0.913), relapse-free survival ( P=0.716), or 100-day incidence of grade Ⅱ–Ⅳ acute GVHD ( P=0.359) . Conclusion:For MDS patients undergoing HIDT, donors over 50 should be avoided. Male and child donors are preferred, while donor gender does not significantly affect outcomes if the donor is under 20 years old.

Objective:To analyze the predictive effects of the Big Five personality traits and emotions on self-management behaviors in patients with type 2 diabetes mellitus (T2DM).Methods:This study was a cross-sectional research. From 2016 to 2020, community interventions for self-management among patients with chronic diseases were conducted in Hangzhou, targeting patients with type 2 diabetes recruited from 69 community health service centers across the city. The data for this study were derived from the baseline information collected during the community intervention. The Chinese Big Five Personality Inventory (CBF-PI-15), the Type 2 Diabetes Self-Management Scale (2-DSCS), the Self-Rating Anxiety Scale (SAS), and the Self-Rating Depression Scale (SDS) were employed for questionnaire assessments. Biochemical indicators, including postprandial 2-hour blood glucose, glycated hemoglobin (HbA 1c), total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C), were measured. Spearman correlation analysis was used to examine the relationship between personality traits, relevant biochemical indicators, and self-management behaviors. Hierarchical regression analysis was employed to assess the predictive effects of the Big Five personality traits and emotions on self-management behaviors after controlling for demographic characteristics and factors related to health status. Results:A total of 839 patients were included in this study, comprising 518 females (61.75%) and 321 males (38.25%), with an average age of (66.92±8.67) years and an average disease duration of (8.87±6.91) years. There were significant differences in self-management behavior scores among patients with varying disease durations, educational levels, treatment methods, and levels of anxiety and depression ( t/F=6.172, 3.340, 4.699, 16.007, 27.127, all P<0.05). Neuroticism showed a negative correlation with various dimensions of self-management behaviors ( r=-0.130--0.073), while conscientiousness and agreeableness were positively correlated with various dimensions of self-management behaviors ( r=0.072-0.215). Dietary control score was negatively correlated with HbA 1c and LDL-C ( r=-0.106, -0.077), and regular exercise score was negatively correlated with postprandial 2-hour blood glucose, HbA 1c, TG, TC, HDL-C, and LDL-C ( r=-0.115--0.071). The total score of the 2-DSCS was negatively correlated with HbA 1c, TG, and TC ( r=-0.104--0.071). Patients with a disease duration exceeding 15 years and those receiving insulin injections or a combination of oral medication and insulin injections had higher total 2-DSCS score ( β=0.085, 0.146, 0.118, all P<0.05). Conversely, patients with higher HbA 1c and SDS standard scores had lower total 2-DSCS score ( β=-0.151, -0.328, both P<0.05), while those with higher agreeableness scores had higher total 2-DSCS score ( β=0.143, P<0.05). Conclusion:The traits of neuroticism, conscientiousness, and agreeableness within the Big Five Personality Traits, as well as anxiety and depressive emotions, are correlated with self-management behaviors. Specifically, agreeableness has a positive predictive effect on self-management behaviors, whereas depressive emotions have a negative predictive effect.

Objective: To evaluate the platelet transfusion requirements in children with high-risk stage Ⅳ neuroblastoma undergoing autologous hematopoietic stem cell transplantation (ASCT), and to identify risk factors for increased transfusion needs and prolonged time to platelet transfusion independence. Methods: This single-center retrospective clinical study included 96 children with high-risk stage Ⅳ neuroblastoma who underwent ASCT from January 2019 to May 2024 in our hospital. Relevant clinical data were collected and analyzed, including age, gender, body surface area, platelet count (PLT) on stem cell infusion day (day 0), conditioning regimen, CD34 stem cell dose, platelet transfusion requirements during transplantation, and time to platelet transfusion independence post-transplant. Results: All 96 (100%) children received transfusion after ASCT. From day 0 to transfusion independence, the median number of platelet transfusion was 3 (2, 4.50), and the median volume of platelet transfused was 3 (2, 4.25) units. Platelet transfusion was required in almost all children in pseudo-healing stage (day 4 to day 6) and polar stage (day 7 to day 14), with transfusion rates as high as 83.33%(n=80) and 100%(n=96), respectively. The median time to platelet transfusion independence post-transplant was 13(11,17) days. Multivariate analysis showed that PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, the use of “busulfan+ melphalan” conditioning regimen, and CD34 stem cell dose<4.0×10 /kg were associated with significantly increased platelet requirements and numbers of transfusion (P<0.05). PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, and CD34 stem cell dose<4.0×10 /kg were associated with significantly delayed platelet transfusion independence (P<0.05). Age, sex, and blood type showed no statistically significant association (P>0.05) with post-transplant platelet transfusion requirements or time to transfusion independence in neuroblastoma patients. Conclusion: This study provided quantitative data for platelet transfusion after ASCT in children with high-risk stage Ⅳ neuroblastoma, and identified PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, CD34 stem cell dose<4.0×10 /kg were risk factors for increased platelet transfusions and delayed transfusion independence. Furthermore, the use of the BuMel (busulfan-melphalan) conditioning regimen was also found to contribute to increased transfusion requirements.

Objective: To evaluate the platelet transfusion requirements in children with high-risk stage Ⅳ neuroblastoma undergoing autologous hematopoietic stem cell transplantation (ASCT), and to identify risk factors for increased transfusion needs and prolonged time to platelet transfusion independence. Methods: This single-center retrospective clinical study included 96 children with high-risk stage Ⅳ neuroblastoma who underwent ASCT from January 2019 to May 2024 in our hospital. Relevant clinical data were collected and analyzed, including age, gender, body surface area, platelet count (PLT) on stem cell infusion day (day 0), conditioning regimen, CD34 stem cell dose, platelet transfusion requirements during transplantation, and time to platelet transfusion independence post-transplant. Results: All 96 (100%) children received transfusion after ASCT. From day 0 to transfusion independence, the median number of platelet transfusion was 3 (2, 4.50), and the median volume of platelet transfused was 3 (2, 4.25) units. Platelet transfusion was required in almost all children in pseudo-healing stage (day 4 to day 6) and polar stage (day 7 to day 14), with transfusion rates as high as 83.33%(n=80) and 100%(n=96), respectively. The median time to platelet transfusion independence post-transplant was 13(11,17) days. Multivariate analysis showed that PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, the use of “busulfan+ melphalan” conditioning regimen, and CD34 stem cell dose<4.0×10 /kg were associated with significantly increased platelet requirements and numbers of transfusion (P<0.05). PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, and CD34 stem cell dose<4.0×10 /kg were associated with significantly delayed platelet transfusion independence (P<0.05). Age, sex, and blood type showed no statistically significant association (P>0.05) with post-transplant platelet transfusion requirements or time to transfusion independence in neuroblastoma patients. Conclusion: This study provided quantitative data for platelet transfusion after ASCT in children with high-risk stage Ⅳ neuroblastoma, and identified PLT<100×10 /L on day 0, platelet transfusion within one week before ASCT, CD34 stem cell dose<4.0×10 /kg were risk factors for increased platelet transfusions and delayed transfusion independence. Furthermore, the use of the BuMel (busulfan-melphalan) conditioning regimen was also found to contribute to increased transfusion requirements.

Dormant tumor cells constitute a population of cancer cells that reside in a non-proliferative or low-proliferative state, typically arrested in the G0/G1 phase and exhibiting minimal mitotic activity. These cells are commonly observed across multiple cancer types, including breast, lung, and ovarian cancers, and represent a central cellular component of minimal residual disease (MRD) following surgical resection of the primary tumor. Dormant cells are closely associated with long-term clinical latency and late-stage relapse. Due to their quiescent nature, dormant cells are intrinsically resistant to conventional therapies—such as chemotherapy and radiotherapy—that preferentially target rapidly dividing cells. In addition, they display enhanced anti-apoptotic capacity and immune evasion, rendering them particularly difficult to eradicate. More critically, in response to microenvironmental changes or activation of specific signaling pathways, dormant cells can re-enter the cell cycle and initiate metastatic outgrowth or tumor recurrence. This ability to escape dormancy underscores their clinical threat and positions their effective detection and elimination as a major challenge in contemporary cancer treatment. Hypoxia, a hallmark of the solid tumor microenvironment, has been widely recognized as a potent inducer of tumor cell dormancy. However, the molecular mechanisms by which tumor cells sense and respond to hypoxic stress—initiating the transition into dormancy—remain poorly defined. In particular, the lack of a systems-level understanding of the dynamic and multifactorial regulatory landscape has impeded the identification of actionable targets and constrained the development of effective therapeutic strategies. Accumulating evidence indicates that hypoxia-induced dormancy tumor cells are accompanied by a suite of adaptive phenotypes, including cell cycle arrest, global suppression of protein synthesis, metabolic reprogramming, autophagy activation, resistance to apoptosis, immune evasion, and therapy tolerance. These changes are orchestrated by multiple converging signaling pathways—such as PI3K-AKT-mTOR, Ras-Raf-MEK-ERK, and AMPK—that together constitute a highly dynamic and interconnected regulatory network. While individual pathways have been studied in depth, most investigations remain reductionist and fail to capture the temporal progression and network-level coordination underlying dormancy transitions. Systems biology offers a powerful framework to address this complexity. By integrating high-throughput multi-omics data—such as transcriptomics and proteomics—researchers can reconstruct global regulatory networks encompassing the key signaling axes involved in dormancy regulation. These networks facilitate the identification of core regulatory modules and elucidate functional interactions among key effectors. When combined with dynamic modeling approaches—such as ordinary differential equations—these frameworks enable the simulation of temporal behaviors of critical signaling nodes, including phosphorylated AMPK (p-AMPK), phosphorylated S6 (p-S6), and the p38/ERK activity ratio, providing insights into how their dynamic changes govern transitions between proliferation and dormancy. Beyond mapping trajectories from proliferation to dormancy and from shallow to deep dormancy, such dynamic regulatory models support topological analyses to identify central hubs and molecular switches. Key factors—such as NR2F1, mTORC1, ULK1, HIF-1α, and DYRK1A—have emerged as pivotal nodes within these networks and represent promising therapeutic targets. Constructing an integrative, systems-level regulatory framework—anchored in multi-pathway coordination, omics-layer integration, and dynamic modeling—is thus essential for decoding the architecture and progression of tumor dormancy. Such a framework not only advances mechanistic understanding but also lays the foundation for precision therapies targeting dormant tumor cells during the MRD phase, addressing a critical unmet need in cancer management.