Hepatocellular carcinoma (HCC) develops within a profoundly immunosuppressive tumor immune microenvironment (TIME), which limits the efficacy of immunotherapy. Polarization of tumor-associated macrophages (TAMs) toward a pro-tumorigenic M2 phenotype is a major driver of immune escape. Ferroptosis, an iron-dependent regulated cell death program, intersects with hepatic iron metabolism and immune regulation and thus offers promising points of therapeutic intervention. This review systematically elucidates the mechanistic role of TAM ferroptosis in HCC immune evasion and highlights a “bidirectional regulation” intervention strategy grounded in the Traditional Chinese medicine (TCM) principle of “fortifying healthy qi and eliminating pathogens” (Fuzheng Quxie). This strategy employs “eliminating pathogens” (Quxie) approaches to exploit the metabolic vulnerability of M2-like TAMs and precisely induce their ferroptosis. Moreover, it utilizes “fortifying healthy qi” (Fuzheng) approaches to protect M1-like TAMs and CD8⁺ T cells from oxidative damage. This parallel “induction-protection” paradigm demonstrates the unique advantages of TCM in systemically remodeling TIME through multitarget synergistic actions. Accordingly, precision regulation of TAM ferroptosis based on the Fuzheng Quxie theory represents a promising integrative Chinese-Western medicine strategy for overcoming current bottlenecks in HCC immunotherapy, although its clinical translational potential warrants further validation.

Objective:To explore the effect of Bian-stone warming and ironing therapy on gastrointestinal blood flow in patients with severe cerebrovascular disease undergoing therapeutic hypothermia.Methods:From January 2023 to October 2024, 92 patients with severe cerebrovascular disease in the Neurosurgical Intensive Care Unit of Xuanwu Hospital of Capital Medical University were selected for the study using convenience sampling method. The patients were divided into a control group and an experimental group of 46 cases each according to the randomized numerical table method. Control group was given routine nursing, and experimental group carried out Bian-stone warming and ironing therapy on the basis of control group. Peak systolic velocity (PSV), end-diastolic velocity (EDV), and time-averaged mean velocity (TAMV) of the superior mesenteric artery of the two groups of patients were monitored before and after five days of intervention, respectively, and the situation of gastric retention and bowel sounds were recorded and compared between the groups.Results:PSV was higher in experimental group than in control group after intervention, and the difference was statistically significant ( P<0.05). The difference in EDV between the two groups was not statistically significant ( P>0.05). TAMV of experimental group was higher than that of control group after intervention, and the difference in TAVM before and after intervention of experimental group was smaller than that of control group, and the differences were all statistically significant ( P<0.05). The number of cases of gastric retention and weakened or disappeared bowel sounds in experimental group was less than that in control group after intervention, and the differences were all statistically significant ( P<0.05) . Conclusions:Bian-stone warming and ironing therapy improves gastrointestinal blood flow rate and reduces feeding intolerance in patients with severe cerebrovascular disease undergoing therapeutic hypothermia.

Objective:To explore the effect of Bian-stone warming and ironing therapy on gastrointestinal blood flow in patients with severe cerebrovascular disease undergoing therapeutic hypothermia.Methods:From January 2023 to October 2024, 92 patients with severe cerebrovascular disease in the Neurosurgical Intensive Care Unit of Xuanwu Hospital of Capital Medical University were selected for the study using convenience sampling method. The patients were divided into a control group and an experimental group of 46 cases each according to the randomized numerical table method. Control group was given routine nursing, and experimental group carried out Bian-stone warming and ironing therapy on the basis of control group. Peak systolic velocity (PSV), end-diastolic velocity (EDV), and time-averaged mean velocity (TAMV) of the superior mesenteric artery of the two groups of patients were monitored before and after five days of intervention, respectively, and the situation of gastric retention and bowel sounds were recorded and compared between the groups.Results:PSV was higher in experimental group than in control group after intervention, and the difference was statistically significant ( P<0.05). The difference in EDV between the two groups was not statistically significant ( P>0.05). TAMV of experimental group was higher than that of control group after intervention, and the difference in TAVM before and after intervention of experimental group was smaller than that of control group, and the differences were all statistically significant ( P<0.05). The number of cases of gastric retention and weakened or disappeared bowel sounds in experimental group was less than that in control group after intervention, and the differences were all statistically significant ( P<0.05) . Conclusions:Bian-stone warming and ironing therapy improves gastrointestinal blood flow rate and reduces feeding intolerance in patients with severe cerebrovascular disease undergoing therapeutic hypothermia.

Objective:To screen for preoperative frailty risk factors in elderly patients with spinal degenerative diseases and construct a risk prediction model.Methods:From September 2021 to August 2022, convenience sampling was used to select 324 elderly patients who underwent spinal surgery in the Department of Neurosurgery at Xuanwu Hospital, Capital Medical University as research subjects. The patients were surveyed using the General Information Questionnaire, Barthel Index, Nutritional Risk Screening 2002, Mini-mental State Examination, Geriatric Depression Scale-15, Generalized Anxiety Disorde-7, Athens Insomnia Scale, Charlson Comorbidity Index (CCI), and Modified Frailty Index. Binary Logistic regression analysis was used to explore the influencing factors of preoperative frailty in elderly patients with spinal degenerative diseases and establish a risk prediction model. Receiver Operating Characteristic (ROC) curve was used to assess the discriminative power of the model, and Hosmer-Lemeshow test was used to evaluate the goodness of fit of the model.Results:A total of 324 questionnaires were distributed, and 308 valid questionnaires were collected, with a valid response rate of 95.06% (308/324). Among 308 elderly patients with degenerative spinal diseases, 56 patients experienced preoperative frailty. Binary Logistic regression analysis showed that falls within one year, CCI, serum albumin, activities of daily living, and self-rated health status were the influencing factors for preoperative frailty in elderly patients with spinal degenerative diseases ( P<0.05). The area under the ROC curve of the prediction model was 0.851, with a sensitivity of 0.786 and a specificity of 0.778. Hosmer Lemeshow test indicated that the predictive model had a good fit (χ 2=3.764, P=0.709) . Conclusions:Falls within one year, CCI, serum albumin, activities of daily living, and self-rated health status are influencing factors for preoperative frailty in elderly patients with spinal degenerative diseases. The risk prediction model constructed can identify preoperative frailty early and has good predictive performance, which is worthy of clinical promotion.

Objective To assess the influences of self-and interviewer-administered methods on the scores of anxiety and depression questionnaires among the patients with sports injuries.Methods A total of 532 participants with sports injuries treated in the Sports Medicine Center of West China Hospital,Sichuan University from November 2022 to May 2023 were included.They were randomly assigned to either the interviewer-administered group(n=270)or the self-administered group(n=262)to complete the generalized anxiety disorder(GAD-7)and the patient health questionnaire(PHQ-9)scales.The total scores and prevalence rates of anxiety and depres-sion were compared between the two groups.Results There was no statistically significant difference in gender,occupation,or surgical site between the two groups(all P＞0.05).The self-administered group had higher scores of GAD-7 and PHQ-9 scales than the interviewer-administered group(P＜0.001,P＜0.001).A greater proportion of participants in the self-administered group than in the interview-administered group met the criteria for mild to moderate anxiety and depression(P＜0.001,P=0.002).The prevalence rates of moderate to se-vere anxiety(GAD-7 ≥10)and depression(PHQ-9 ≥10)showed no statistically significant difference between the two groups(P=0.761,P=0.086).Conclusion This study demonstrates that the participants in the self-administered group are more likely to report mild to moderate symptoms of anxiety and depression than those in the interviewer-administered group.

OBJECTIVE To compare the contents of schizandrin A, schizandrin B, schizandrin C, schisandrol A, schisandrol B, schisantherin A, anwuligan, and schisanhenol in Schisandrae Sphenantherae Fructus on market from 12 habitats. METHODS The samples were pre-treated by 96-well fitration plates. The assay was performed on ACE EXCEL 1.7 C18-AMIDE(100 mm×2.1 mm, 1.7 μm) column with 0.1% formic acid-water(A) and methanol(B), gradient elution, flow speed was 0.4 mL·min–1. Ion source was electric spray ion source, positive ion monitoring mode, multireaction monitoring mode for quantitative analysis. Linear, instrument precision, stability, repeatability, average recovery were investigated. RESULTS The content of schisantherin A in 10 of 12 producing areas reached the standard of ≥0.2% of Schisandrae Sphenantherae Fructus in 2020 Edition of Chinese Pharmacopoeia. CONCLUSION UHPLC-MS/MS is suitable for simultaneous determination of multiple components in Schisandrae Sphenantherae Fructus. The Schisandrae Sphenantherae Fructus in the market basically meet the national legal standards.

Objective To investigate the current status of unplanned readmission to the ICU in neurosurgical patients and to study its influencing factors,aiming to inform the construction of targeted nursing interventions for medical staff.Methods From January 2020 to September 2022,the relevant data of patients transferred out from the ICU of a tertiary-level hospital in Beijing were retrospectively analyzed.After using propensity score matching,a sample with balanced covariates between groups was obtained,and single-factor and Logistic regression analyses were used to study the influencing factors of unplanned readmission to the ICU in neurosurgical patients.Results The data of a total of 4 789 patients were included,and 159 patients(3.32％)had unplanned readmission to the ICU.Respiratory failure and pulmonary infection were the main respiratory complications causing unplanned readmission to the ICU in neurosurgical patients.Logistic regression analysis showed that the duration of mechanical ventilation,the length of the first stay in the ICU,tracheal intubations ≥2 times,presence of cerebrospinal fluid drainage tube or lumbar drainage tube,existence of mild to moderate consciousness disorder at discharge from ICU,low white blood cell count,and low hemoglobin count were independent influencing factors for unplanned readmission to ICUs in neurosurgical patients(P＜0.05).Conclusion Medical staff should pay attention to the high-risk group of unplanned return to the ICU,assess the risk of transfer in a timely manner,carry out targeted nursing measures and strengthen the quality of nursing care to reduce the incidence of unplanned retum to the ICU in neurosurgical patients.

Objective:This study aims to summarize the experience of building a research data platform at Peking University First Hospital and propose pathways for constructing healthcare big data platforms in medical institutions to provide insights for the further expansion of the application of the health care big data platform and construction of smart healthcare.Methods:Hospital multi-domain data was collected through a systematic process. After data classification and cleaning, international medical standards and NLP technology were utilized to achieve data standardization and structuring. At the same time, the eCRF form, data source judgment, and mathematical calculations were optimized to ensure the data quality and application value of the scientific research data platform.Results:By carrying out the construction of a scientific research data platform, Peking University First Hospital achieved the transformation of clinical data into research data, completed data collection, pushing, integration, cleaning, and governance, and conducted health care big data research.Conclusions:It is recommended to subsequently expand the data scope, promote the transformation of clinical data into research data, enhance clinical experts' participation in prospective design and data collection, use an integrated data platform for automatic data pushing and calling, explore the application of large language models and conduct technical exploration and reserves.

Objective To investigate the current status of unplanned readmission to the ICU in neurosurgical patients and to study its influencing factors,aiming to inform the construction of targeted nursing interventions for medical staff.Methods From January 2020 to September 2022,the relevant data of patients transferred out from the ICU of a tertiary-level hospital in Beijing were retrospectively analyzed.After using propensity score matching,a sample with balanced covariates between groups was obtained,and single-factor and Logistic regression analyses were used to study the influencing factors of unplanned readmission to the ICU in neurosurgical patients.Results The data of a total of 4 789 patients were included,and 159 patients(3.32％)had unplanned readmission to the ICU.Respiratory failure and pulmonary infection were the main respiratory complications causing unplanned readmission to the ICU in neurosurgical patients.Logistic regression analysis showed that the duration of mechanical ventilation,the length of the first stay in the ICU,tracheal intubations ≥2 times,presence of cerebrospinal fluid drainage tube or lumbar drainage tube,existence of mild to moderate consciousness disorder at discharge from ICU,low white blood cell count,and low hemoglobin count were independent influencing factors for unplanned readmission to ICUs in neurosurgical patients(P＜0.05).Conclusion Medical staff should pay attention to the high-risk group of unplanned return to the ICU,assess the risk of transfer in a timely manner,carry out targeted nursing measures and strengthen the quality of nursing care to reduce the incidence of unplanned retum to the ICU in neurosurgical patients.

Objective:This study aims to summarize the experience of building a research data platform at Peking University First Hospital and propose pathways for constructing healthcare big data platforms in medical institutions to provide insights for the further expansion of the application of the health care big data platform and construction of smart healthcare.Methods:Hospital multi-domain data was collected through a systematic process. After data classification and cleaning, international medical standards and NLP technology were utilized to achieve data standardization and structuring. At the same time, the eCRF form, data source judgment, and mathematical calculations were optimized to ensure the data quality and application value of the scientific research data platform.Results:By carrying out the construction of a scientific research data platform, Peking University First Hospital achieved the transformation of clinical data into research data, completed data collection, pushing, integration, cleaning, and governance, and conducted health care big data research.Conclusions:It is recommended to subsequently expand the data scope, promote the transformation of clinical data into research data, enhance clinical experts' participation in prospective design and data collection, use an integrated data platform for automatic data pushing and calling, explore the application of large language models and conduct technical exploration and reserves.