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.

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 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

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.

Methods: Patients with Lenke 1 AIS undergoing posterior spinal fusion were included. Standing and fulcrum bending radiographs on the coronal and sagittal planes were analyzed at preoperative, immediate, and 2-year postoperative periods. The primary outcome was postoperative hypokyphosis (T5–12 thoracic kyphosis [TK] <20°). Risk factors for postoperative hypokyphosis were identified by multivariate logistic regression, and the optimal cutoff for significant risk factors was determined by receiver operating characteristic analysis. Results: In total, 156 patients were included in the analysis, of which 68 (43.6%) were hypokyphotic at 2-year follow-up. Low T5–12 TK on lateral view fulcrum bending films (immediate postoperative odds ratio [OR], 0.870; 95% confidence interval [CI], 0.826–0.917; 2-year postoperative OR, 0.916; 95% CI, 0.876–0.959; p<0.001) and high convex side implant density (2-year postoperative OR, 1.749; 95% CI, 1.056–2.897; p=0.03) were significant risk factors for postoperative hypokyphosis. Other baseline demographic and surgical factors did not affect postoperative kyphosis correction. The T5–12 TK cutoff on fulcrum bending for 2-year postoperative hypokyphosis was 12.45° (area under the curve, 0.773; 95% CI, 0.661–0.820). Conclusions Fulcrum bending radiography is useful in assessing coronal and sagittal flexibility for preoperative planning. In patients with T5–12 kyphosis <12.5° on lateral view fulcrum bending radiographs, Ponte osteotomies or releases, or a decrease in convex side implant density should be considered to improve kyphosis restoration and reduce the risk of 2-year postoperative hypokyphosis.

Objective To explore the identification method,pathogenesis,clinical characteristics and individualized pharmacotherapy of asymptomatic hyperuricemia after renal transplantation.Methods The pharmacist was on duty at the organ transplant outpatient clinic.During this time,they analyzed and sorted out the medications,identified and differentiated a case of asymptomatic hyperuricemia related to spironolactone in a patient who had undergone a renal transplant,and provided comprehensive care throughout the entire process.Results The asymptomatic hyperuricemia in this patient might be associated with spironolactone,and the adverse reactions of the patient were alleviated by pharmacists through optimizing clinical treatment.Up to now,no hyperuricemia occurred.Conclusions Pharmacists are required to collaborate closely with clinicians to establish medication profiles for patients under long-term follow-up and to closely monitor and evaluate drug-related adverse reactions.Additionally,they should assess the renal function and immune status of transplant recipients promptly and formulate individualized treatment plans in order to enhance the long-term survival of both the transplanted kidneys and the recipients.

Objective:To investigate the distribution of CGG repeat numbers in the FMR1 gene among reproductive-age women in China, providing data reference for carrier screening and genetic counseling of Fragile X syndrome. Methods:This cross-sectional study recruited 16 610 reproductive-age women from 12 medical institutions between July 2022 and October 2023. Peripheral venous blood samples (3 mL) were collected, and genomic DNA was extracted. The number of CGG repeats in the FMR1 gene was determined using the triplet-primed polymerase chain reaction (TP-PCR) combined with capillary electrophoresis technology. Statistical analyses were performed to assess the prevalence and distribution of CGG repeat expansions. Results:Among 16 610 women of childbearing age, 5 684 (34.220%) women had the same number of CGG repeats in the two alleles of FMR1 gene, and 10 926 (65.780%) women had different numbers of repeats in the two alleles. Among the 33 220 FMR1 alleles in 16 610 women of reproductive age, the most common CGG repeat numbers were 29 [48.645% (16 160/33 220)] and 30 [26.276% (8 729/33 220)], while the most frequent CGG genotype was CGG 29/29 [24.726% (4 107/16 610)]. The CGG repeat numbers of FMR1 gene were normal in 16 498 women (99.326%). Among the 112 women (0.674%) with CGG repeat abnormities, 96 (0.578%) women were classified as intermediate carriers, 15 (0.090%) as premutation carriers, and 1 (0.006%) as a full mutation carrier, whose CGG genotype was (36, >200). Conclusion:In the general reproductive-age female population in China, the normal CGG repeat numbers of the FMR1 gene account for 99.326%, while the intermediate carrier rate is 0.578%, and the combined carrier rate of the premutation and full mutation types is 0.096%.

Objective:To explore the application effect of ADDIE model (analysis, design, development, implementation and evaluation) in the training of maxillofacial trauma first-aid ability of dental nurses, in order to optimize the training process of dental nurses.Methods:A self-controlled before and after study was conducted. Fifty-one dental nurses in Qingdao Stomatology Hospital Affiliated to Qingda University were selected as the research objects by convenient sampling method in March 2022, and the first aid ability training for maxillofacial trauma was carried out according to the five stages of ADDIE model. Before and after the training, the evaluation was made from three aspects: theory and skill test results, first-aid ability and training satisfaction scores.Results:Among 51 dental nurses, there were 4 males and 47 females, aged (30.69 ± 5.85) years. After the training, the theoretical assessment score of dental nursing staff was (88.87 ± 6.20) points, higher than that before the training (80.51 ± 7.21) points, and the technical assessment score was (91.61 ± 4.08) points, higher than that before the training (82.03 ± 7.56) points. The differences were statistically significant ( t = - 14.38, - 10.93, both P<0.01). The total score of first aid ability of nurses was (137.38 ± 11.30) points, higher than that before training (123.40 ± 13.73) points, and the difference was statistically significant ( t = - 17.30, P<0.01). The satisfaction score of dental nursing staff was (4.58 ± 0.50) points, higher than that before training (3.96 ± 0.46) points, and the difference was statistically significant ( t = - 11.51, P<0.01). Conclusions:The training program based on ADDIE model, through systematic teaching design, is helpful to improve the emergency treatment ability and training satisfaction of dental nursing staff with maxillofacial trauma.

Objective To investigate and elucidate the effect of trigonelline(TRG)on the ARPE-19 ferroptosis sig-naling pathway under hypoxia conditions.Methods ARPE-19 cells were routinely cultured and intervened with different concentrations of TRG.According to the optimal concentration(40 mg·L-1)of TRG determined for ARPE-19 interven-tion,the cells were divided into an NC group(routinely cultured for 24 h),a CoCl2 group(treated with 150 mmol·L-1 CoCl2 for 24 h),a Fer-1 group(treated at first with 1 μmol·L-1 Fer-1 for 12 h and then with 150 mumol·L-1 CoCl2 for 12 h),and a TRG group(treated at first with 40 mg·L-1 TRG for 24 h and then with 150 mmol·L-1 CoCl2 for 24 h).The levels of glutathione(GSH),malondialdehyde(MDA)and Fe2+ions in each group of cells were evaluated by detectionkits.The levels of reactive oxygen species(ROS)in each group of cells were detected by flow cytometry.Western blot was used to analyze the expression levels of hypoxia-induced factor-1α(HIF-1α),vascular endothelial growth factor(VEGF),glutathione peroxidase 4(GPX4)and acyl-CoA synthetase long-chain family member 4(ACSL4)in each group of cells.The expression levels of VEGF and ACSL4 proteins in each group of cells were measured by immunofluorescence staining.Results The ROS levels in TRG and Fer-1 groups were significantly lower than those in the CoCl2 group(t=27.91,31.61;both P＜0.01).The change trend of MDA and Fe2+levels was the same with that of ROS levels in each group.Com-pared with those in the CoCl2 group,the GSH levels were increased significantly(t=15.95,12.76;both P＜0.01)and the relative expression levels of HIF-1α and VEGF proteins were decreased significantly in Fer-1 and TRG groups(all P＜0.01).The CoCl2 group had higher ACSL4 levels and lower GPX4 levels than the NC group(t=31.05,13.18;both P＜0.01).Fer-1 and TRG groups had lower ACSL4 expression levels and higher GPX4 expression levels than the CoCl2 group(all P＜0.01).The results of immunofluorescence staining showed that the expression levels of VEGF and ACSL4 proteins in the CoCl2 group were higher than those in the NC group.The expression levels of VEGF and ACSL4 proteins in Fer-1 and TRG groups were lower than those in the CoCl2 group.Conclusion TRG protects ARPE-19 cells from hypoxia-induced oxidative stress damage by inhibiting ferroptosis.