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 develop a user-friendly visualization application for the automatic annotation of Human Phenotype Ontology (HPO) terms based on large language models and retrieval-augmented generation (RAG) technology, and to validate its performance in an authoritative case dataset. METHODS: By integrating the domestic open-source large language model DeepSeek-V3 with RAG technology, an interactive web application was deployed on the Streamlit cloud platform. Using only the latest official HPO dataset as the data source, the lightweight sentence-embedding model BAAI/bge-small-en-v1.5 was employed to construct a FAISS vector index. During the online phase, a four-step closed-loop process is automatically completed: multilingual translation, phenotype phrase extraction, RAG candidate retrieval, term mapping, and official database validation. 121 English case reports publicly released by BMJ Case Reports and Oxford Medical Case Reports (with a gold-standard HPO set of 1 794 terms) were selected for application validation. Precision, recall, and F1 score were calculated and compared horizontally with traditional dictionary tools, standalone large language models, and the similar application "RAG-HPO". Finally, replace the model with the more advanced ChatGPT-5 and evaluate its performance on the newly extracted dataset. RESULTS: An HPO term automatic annotation visualization application named PhenoRAG, based on large language models and RAG technology, was successfully developed. Users can access it directly via a web link. Across the 112 cases, a total of 2 150 HPO terms were generated; 2,064 (96.0%) were fully validated by the official database, with a hallucination rate of 1.3% and an HPO ID-name mismatch rate of 2.7%. After deduplication, 1,906 terms remained for testing. The overall precision was 63.65%, recall was 67.34%, and F1 was 65.44%, significantly outperforming traditional annotation tools (F1: 0.45-0.49, P < 0.001). Although PhenoRAG's F1 was lower than that of RAG-HPO (F1 = 0.78, P < 0.001), which relies on a manually constructed synonym database of 54 000 entries plus the HPO dataset, it requires no additional dictionary maintenance and can be used without any background in computer programming. Moreover, after switching to the GPT-5 model, PhenoRAG exhibited no hallucination rate on the new dataset, and its F1 score significantly increased (P = 0.038). CONCLUSION Without constructing a synonym database, the PhenoRAG achieved high-accuracy automatic mapping from clinical text to standard HPO terms. It features a low usage threshold, free access, and a Chinese-language interface, and can directly serve rare disease diagnosis, genetic counseling, and research scenarios in China and worldwide, warranting further clinical promotion and multicenter validation.
Humans ; Phenotype ; Biological Ontologies ; Language ; Software ; Large Language Models

The report of the 20th National Congress of the Communist Party of China proposed to implement the strategy of actively responding to population aging， charting a clear direction for China’s elderly care initiatives. Under this background， social workers serve as vital human resources in the elderly care service system， and the full realization of their roles and functions is of great importance. British social workers， through long-term practice in the field of health and elderly care， have developed multifaceted roles， such as providers of personalized care， defenders of rights and interests， educators of health， protectors under special circumstances， collaborators of innovation and development， and supporters in the field of health and elderly care， offering valuable insights for China. Combined with the realities of an aging society， efforts should be advanced from four aspects， including enhancing the recognition of social workers， strengthening their professional skills， promoting cooperation with the elderly care industry， and safeguarding the rights of the elderly， with a view to enabling social workers to better provide high-quality services for Chinese elderly groups in the field of health and elderly care.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

Based on advancements in modern medical research regarding the intricate connection between the endocrine and exocrine functions of the pancreas， as well as the relationship between pancreatic functions and traditional Chinese medicine （TCM） spleen system， this paper discussed the categorization of the pancreas. It is proposed that the pancreas is neither a true zang organ nor a fu organ， but possessed the attributes of an extraordinary fu-organ and can be classified under the spleen. The spleen governs transportation and transformation， ascent of the clear and dispersion of essence， which encompasses the endocrine and exocrine functions， and pancreatic enzymes and glucose-regulating hormones form the material basis for the spleen's function of dispersing essence. Diseases of the pancreas exhibit characteristics of both zang-organ deficiency and fu-organ excess， so treatment should simultaneously supplement zang-organ disease and regulate fu-organ disease when pancreas showing endocrine and exocrine co-morbidities， with focus on restoring the pancreas （spleen）'s dispersing essence function. Therapeutic strategies include supplementing spleen qi， nourishing spleen yin to strengthen spleen earth， unblocking spleen collaterals， raising spleen yang， and removing spleen turbidity to support the spleen's dispersing essence function， so as to replenish the essential qi of zang-fu organs， ensure their distribution throughout the body， and improve the endocrine and exocrine functions of the pancreas.

AIM: To investigate and clarify the intervention mechanism of trigonelline(TRG)in preventing ferroptosis in ARPE-19 cells based on the Nrf2/HO-1/GPX4 pathway.METHODS: The ARPE-19 cells were cultured and subsequently treated with varying concentrations of trigonelline to ascertain the most effective concentration for modulating the cells. Then the cells were categorized into distinct groups, including normal control(NC)group, high glucose(HG)group, Fer-1 group, TRG group based on the determined concentration. Samples from each group were then gathered to assess relevant indicators. The intracellular levels of glutathione(GSH), malondialdehyde(MDA), and Ferrion were quantified in accordance with the protocols provided by the GSH, MDA, and Ferrion detection kits. Flow cytometry was employed to measure the ROS levels within each group. Additionally, Western blot analysis was conducted to examine the expression of nuclear factor erythroid 2-related factor 2(Nrf2), heme oxygenase-1(HO-1), glutathione peroxidase(GPX4), and acyl-CoA synthetase long-chain family member 4(ACSL4)across the different groups.RESULTS: The preconditioning intervention with 40 μg/mL TRG effectively mitigated the decline in cell activity induced by high glucose levels. The levels of reactive oxygen species(ROS)and MDA in the HG group were markedly elevated compared to the NC group; and the TRG group exhibited significantly reduced levels of ROS and MDA compared to those of the HG group, with the antioxidant stress index GSH showing opposite trends to those of ROS and MDA across all the groups. Whereas the Fer-1 and TRG groups showed decreased expression levels of ACSL4 protein and iron ions, and the expression levels of Nrf2, HO-1 and GPX4 in the Fer-1 and TRG groups were increased.CONCLUSION: TRG protects ARPE-19 cells from the detrimental effects of high glucose by targeting the Nrf2/HO-1/GPX4 signaling pathway to counter ferroptosis.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

ObjectiveTo investigate the effect of the nitroglycerin-controlled low central venous pressure （CLCVP） technique on brain metabolic markers and cerebral blood oxygen saturation in patients undergoing laparoscopic hepatectomy for liver cancer， and to reduce the risk of neurological complications. MethodsA total of 105 patients who underwent elective laparoscopic hepatectomy for liver cancer in Haikou Hospital Affiliated to Xiangya Hospital of Central South University from April 2020 to May 2023 were enrolled and randomly divided into CLCVP group with 54 patients and non-CLCVP group with 51 patients. The patients in the CLCVP group were treated with the nitroglycerin CLCVP technique during surgery， while those in the non-CLCVP group were given conventional surgical treatment. The two groups were compared in terms of the following indicators： perioperative indicators； hemodynamic parameters and cerebral oxygen metabolism before anesthesia induction （T0）， at 5 minutes after anesthesia induction （T1）， at 5 minutes after the beginning of liver parenchyma dissection （T2）， at 5 minutes after the end of hepatectomy （T3）， and immediately after the end of surgery （T4）； the changes in liver function parameters after surgery； the incidence rate of adverse reactions. The independent-samples t test was used for comparison of continuous data between two groups， and the chi-square test was used for comparison of categorical data between two groups； the analysis of variance with repeated measures was used for comparison between multiple time points. ResultsCompared with the non-CLCVP group， the CLCVP group had significantly lower intraoperative blood loss and intraoperative fluid infusion volume （t=5.408 and 7.220， both P<0.05）， while there were no significant differences between the two groups in time of operation， anesthesia time， extubation time， resuscitation time and intraoperative urine volume （all P>0.05）. Compared with the data at T0， both groups had significant reductions in mean arterial pressure， heart rate， and central venous pressure during surgery （all P<0.05）， and compared with the non-CLCVP group， the CLCVP group had significantly lower mean arterial pressure and central venous pressure （P<0.05） and a significantly higher heart rate （P<0.05） at T2 and T3. Compared with the data at T0， both groups had a significant reduction in Ca-jvDO₂ at T2‍ ‍—‍ ‍T4 time points （all P<0.05）， while there was no significant difference in Ca-jvDO₂ between the two groups at each time point （all P>0.05）. Compared with the data at T0， the CLCVP group had a significant reduction in rSO₂ at T2‍ ‍—‍ ‍T4 time points （all P<0.05）， and the CLCVP group had a significantly lower level of rSO₂ than the non-CLCVP group at T2‍ ‍—‍ ‍T3 time points （both P<0.05）； there were no significant changes in CERO₂ and Djv-aBL in either group at each time point （all P>0.05）. At 3 and 7 days after surgery， both groups had significant increases in the liver function parameters of aspartate aminotransferase （AST）， alanine aminotransferase （ALT）， and total bilirubin （TBil） （all P<0.05）， and the CLCVP group had significantly lower levels of AST and ALT than the non-CLCVP group （all P<0.05）； there was no significant difference in TBil between the two groups at each time point （all P>0.05）. There was no significant difference in the incidence rate of perioperative complications between the two groups （χ²=0.729， P=0.394）. ConclusionThe application of the nitroglycerin CLCVP technique in laparoscopic hepatectomy for liver cancer can reduce the amount of intraoperative blood loss in patients， but it is necessary to further enhance the monitoring of cerebral blood oxygen saturation during surgery， so as to reduce the risk of neurological complications as much as possible.

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 develop a risk prediction model for moderate to severe orthodontic-induced inflammatory root resorption (OIIRR) of maxillary incisors based on cone beam CT (CBCT) radiomics features and clinical characteristics of the orthodontic patients.Methods:Clinical and CBCT data from 101 orthodontic patients treated by the same attending orthodontist in the Department of Orthodontics, Stomatology Hospital of Tianjin Medical University from January 2019 to January 2024 were retrospectively collected. The sample included 42 class Ⅰ patients, 52 class Ⅱ patients and 7 class Ⅲ patients [age: (19.7±6.3) years], and a total of 394 maxillary incisors were analyzed. Potential influencing factors for moderate to severe OIIRR (root volume resorption rate≥10%) were collected from the patients′ CBCT and medical records, including initial age, gender, treatment duration, Angle′s classification, extraction or not, type of orthodontic appliance (fixed or clear aligner), changes in root inclination, root movement distance and direction, pre-treatment cephalometric measurements, pre-treatment root-bone relationship, pre-treatment root length, and pre-treatment radiomics features of the teeth. Univariate analysis was initially performed to screen for factors influencing moderate to severe OIIRR. Subsequently, least absolute shrinkage and selection operator (LASSO) regression, best subset regression, and random forest were used for feature selection to construct the OIIRR risk prediction model. The discrimination, calibration, and net benefit of the three risk prediction models were evaluated, and the optimal model was displayed using a nomogram.Results:LASSO regression identified clinical features including initial age (LASSO coefficient 0.052), treatment duration (LASSO coefficient 0.024), pre-treatment root length (LASSO coefficient -0.023), and vertical root movement distance (LASSO coefficient -0.029). Initial age and treatment duration were positively correlated with the severity of OIIRR, while root length and vertical root movement distance were negatively correlated. A total of 14 radiomics features were identified, including 2 original image features and 12 wavelet features. Best subset regression identified vertical root movement distance as the clinical feature and 7 radiomics features, including 1 original image feature and 6 wavelet features. The random forest model identified 8 wavelet features as important predictors, and all of which were radiomics features. Model performance evaluation showed that the random forest model had the highest discrimination, calibration, and net benefit, making it the optimal model, with radiomics features being the most important predictors.Conclusions:Based on the data from this study, radiomics features were identified as the most important predictors by the optimal model for OIIRR risk prediction. Predicting the occurrence of moderate to severe OIIRR before orthodontic treatment held potential clinical application value.