The new synergistic education model integrating the “five arts” medical talent cultivation philosophy and the red doctor spirit could form a virtuous cycle of “spiritual guidance-technological breakthrough-spiritual reshaping” in the field of military medical education. Addressing the existing challenges in the process of military medical cadets’ training， such as mission awareness， humanistic care， battlefield rescue， and emergency response， this study proposed integrating the red doctor spirit， characterized by political steadfastness， healing the wounded and rescuing the dying， selfless devotion， relentless pursuit of excellence， and seeking truth and innovation， into the training system under the guidance of the “five arts” philosophy， including establishing a foundation through Daoist arts， forging the soul with benevolence， empowering through academia， tempering through technology， and nurturing the mind through artistry. A cultivation model was constructed featuring “moral education as the priority and cultivating through soul-forging； military spirit as the root and medical professionalism as the foundation and training for warfare； mastery in medicine for battlefield success and cultivating talent through rigorous scholarship.” Furthermore， through pathways including the optimization and implementation of the curriculum system， the enhancement and innovation of practical teaching， the development and training of the faculty team， and the improvement and innovation of the evaluation system， this model assisted in achieve the goal of cultivating compound talents with “the red medicine essence plus the five arts foundation.” These talents also built their foundation on the “five arts” philosophy， forge their spirit with the red doctor spirit， and was tempered with battlefield adaptability.

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.

Charcoal-processed traditional Chinese herbal medicine has various therapeutic effects， including astringing， hemostasis， anti-diarrhea， clearing heat， tonifying， and warming the interior. This paper summarizes the clinical application features， compatible experiences， dosages， and precautions for over 20 types of charcoal-processed herbal medicine in the treatment of gynecological bleeding disorders caused by dysfunctions such as dysfunctional uterine bleeding， endometriosis， uterine incision pseudocavity， and vaginal bleeding resulting from threatened miscarriage. The charcoal-processed herbal medicine include Huangqin （Scutellaria Baicalensis） Charcoal， Dahuang （Rheum Palmatum） Charcoal， Cebai （Platycladus Orientalis） Charcoal， Diyu （Sanguisorba Officinalis） Charcoal， Daji （Cirsium Setosum） Charcoal， Xiaoji （Cirsium Japonicum） Charcoal， Shengdi （Rehmannia Glutinosa） Charcoal， Aiye （Artemisia Argyi） Charcoal， Paojiang （Zingiber Officinale） Charcoal， Xuduan （Dipsacus Asper） Charcoal， Duzhong （Eucommia Ulmoides） Charcoal， Qiancao （Rubia Cordifolia） Charcoal， Puhuang （Typha Angustifolia） Charcoal， Shanzha （Crataegus Pinnatifida） Charcoal， Jingjie （Schizonepeta Tenuifolia） Charcoal， Xueyu （Carthamus Tinctorius） Charcoal， Zonglyu （Areca Catechu） Charcoal， Wumei （Prunus Mume） Charcoal， Shudahuang （Rheum Officinale） Charcoal， Lianfang （Nymphaea Alba） Charcoal， Mianmaguanzhong （Clematis Armandii） Charcoal， and Oujie （Nelumbo Nucifera） Charcoal.

ObjectiveTo investigate the variation of drug resistance genes in human immunodeficiency virus (HIV)-1 strains in Huzhou City, Zhejiang Province, so as to provide a basis for guiding the adjustment of treatment plans for ADIS patients or patients infected with HIV. MethodsA total of 555 samples were collected from 396 newly diagnosed HIV/AIDS patients who did not receive antiviral treatment from 2021 to 2023, in addition to 159 HIV/AIDS patients who received antiviral treatment for at least twelve months but failed during the same period.Reverse transcription polymerase chain reaction (RT-PCR) and nested polymerase chain reaction (nested PCR) were used to amplify the pol region gene of HIV-1. Lastly, the sequenced data were submitted to the HIV resistance database of Stanford University in the United States for resistance gene mutation analysis. ResultsDrug resistance mutations were detected in samples from 97 newly diagnosed HIV/AIDS patients and 77 patients with failed treatment, with the main subtypes being CRF01AE and CRF07-BC. The mutation rates of drug resistance genes in the patients untreated and patients with failed treatment were 24.49% (97/396) and 48.43% (77/159), respectively. Drug resistance gene mutations against protease inhibitor (PI), nucleotide reverse transcriptase inhibitor (NRTI), and non-nucleoside reverse transcriptase inhibitor (NNRTI) were detected both in the untreated and failed treatment group. The drug resistance rates of untreated and failed treatment patients were 10.61% (42/396) and 45.28% (72/159), respectively. ConclusionThe pre-treatment drug resistance rate of HIV-1 strains in Huzhou City is at a moderate level, and which is at a relatively low level nationwide after antiviral treatment. The resistance genes in the region exhibit diverse and complex characteristics, and the prevalence of drug resistance is in the process of upward and evolution compared to the monitoring results in the previous years. It is necessary to continue to monitor the occurrence and development of drug resistant strains, and to adjust treatment plans in time to prevent the occurrence of transmissible drug resistance.

ObjectiveTo investigate the effect of the multidisciplinary team （MDT） management model in improving the prognosis of patients with cirrhotic portal hypertension. MethodsA total of 86 patients with cirrhotic portal hypertension who were admitted to Shenzhen Third People’s Hospital from May 2022 to July 2024 were enrolled， and according to whether the MDT treatment regimen was implemented， they were divided into execution group with 51 patients and non-execution group with 35 patients. Baseline clinical data were collected， and the patients were observed in terms of gastrointestinal bleeding， hepatic encephalopathy， liver cancer， and death from admission to the end of follow-up （January 2025）. The independent-samples t test was used for comparison of normally distributed continuous data between two groups， and the Wilcoxon rank-sum test was used for comparison of non-normally distributed continuous data between two groups； the chi-square test or the Fisher’s exact test was used for comparison of categorical data between groups. The Kaplan-Meier method was used to plot survival curves for the cumulative incidence rates of endpoint events （gastrointestinal bleeding， hepatic encephalopathy， liver cancer， and death）， and the Log-rank test was used for comparison between groups. The Cox proportional-hazards regression model analysis was used to investigate the effect of MDT management on the prognosis of patients. ResultsThere were significant differences between the execution group and the non-execution group in diameter of the portal vein （t=1.216， P=0.017） and ascites （χ²=4.515， P=0.034） at baseline. The patients were followed up for 14.6±6.2 months， and the survival curve analysis showed that there was a significant difference in the cumulative incidence rate of gastrointestinal bleeding between the two groups （χ²=4.573， P=0.024）， while there were no significant differences in the incidence rates of other outcome events between the two groups （all P>0.05）. The Cox regression analysis showed that the execution group had a reduced risk of gastrointestinal bleeding （hazard ratio=0.262， 95% confidence interval： 0.110 — 0.630， P=0.003）. ConclusionImplementation of the MDT treatment regimen can significantly reduce the short-term risk of gastrointestinal bleeding in patients with cirrhotic portal hypertension， while its long-term benefits require further follow-up verification.

Objective:To analyze the physical activity level of patients treated with a percutaneous coronary intervention (PCI) for coronary artery disease in the early out-of-hospital recovery phase, and the factors influencing it.Methods:Patients who had been discharged within the previous 6 months after their first PCI treatment were surveyed using a general information questionnaire, the long form of the International Physical Activity Questionnaire (IPAQ), the Chinese version of the Tilburg Frailty Scale, the Social Support Rating Scale, and for their ability in the activities of daily living. Epidemiological descriptive methods were used to analyze the reported physical activity levels, and multifactoral logistic regression was applied to explore the influencing factors. The receiver operating characteristics (ROC) curve was drawn to evaluate the predictive value of the risk factors.Results:A total of 394 former patients were surveyed, including 117 (30%) reporting a low level of physical activity, 202 (51%) describing a moderate level and 75 (19%) claiming a high level. The univariate analysis revealed significant differences in physical activity levels among those of different ages, with different chronic co-morbidities, and with different frailty and self-care ability. Multifactoral logistic regression analysis showed that advanced age, chronic co-morbidities, frailty and little self-care ability are significant predictors of a low level of physical activity. The area under the ROC curve for predicting the physical activity level by combining those four factors was 0.89 (95% CI 0.84-0.94), with a sensitivity of 0.89 and a specificity of 0.80. Conclusions:The physical activity level of patients treated with PCI for coronary disease is moderately low early after their release from the hospital. Targeted intervention to increase it is called for.

Objective:To investigate the role of dynamic changes in liver stiffness measurement (LSM) in predicting liver-related end-point events (LREs) occurrence in patients with chronic hepatitis B (CHB) with liver fibrosis during long-term antiviral therapy.Methods:Data were collected from CHB patients whose liver biopsy results showed Metavir fibrosis stage F2～F4 or clinically diagnosed cirrhosis. Entecavir antiviral therapy was mainly administered. Follow-up was conducted once every six months. Clinical data such as demographic information, blood routine tests, liver biochemical parameters, HBV virological and serological test results, and LSM were collected. Dynamic changes in LSM were categorized into four types based on LSM levels before treatment (0y) and following two years of antiviral therapy (2y) : (1) LSM 0y < 10 kPa and LSM 2y < 10 kPa, i.e., LSM persisted < 10 kPa; (2) LSM 0y < 10 kPa and LSM 2y ≥ 10 kPa, i.e., LSM increased to ≥ 10 kPa; (3) LSM 0y ≥ 10 kPa and LSM 2y < 10 kPa, i.e., LSM decreased to < 10 kPa; (4) LSM 0y ≥ 10 kPa and LSM 2y ≥ 10 kPa, i.e., LSM persisted ≥ 10 kPa. The predictive role of the dynamic changes of LSM in the occurrence of LREs was analyzed. The Wilcoxon rank-sum test was used for quantitative data. Fisher's exact test was used for categorical data. Multivariate analysis was performed using the Cox proportional hazards regression model. Survival curves were plotted and compared using the Kaplan-Meier. Results:A total of 713 CHB cases with liver fibrosis were included, among whom 512 had cirrhosis. The cumulative incidence of LREs following two years of antiviral therapy was low in patients with LSM 0y < 10 kPa during follow-up (all patients: LSM persisted < 10 kPa 1.6% vs. LSM increased to ≥ 10 kPa 0%; cirrhosis subgroup: LSM persisted < 10 kPa 0% vs. LSM increased to ≥ 10 kPa 0%). The 5-year cumulative incidence of LREs following two years of antiviral treatment was significantly higher in patients with LSM0y ≥ 10 kPa than in those with LSM persisting ≥ 10 kPa and those with LSM decreasing to < 10 kPa during follow-up (all patients: LSM persisted ≥ 10 kPa 12.4% vs. LSM decreased to < 10 kPa 3.6%; cirrhosis subgroup: LSM persisted ≥ 10 kPa 12.6% vs. LSM decreased to < 10 kPa 4.3%). Patients with LSM persisting at ≥ 10 kPa had a significantly increased risk of LREs following two years of antiviral treatment compared with those whose LSM decreased to <10 kPa during follow-up after adjusting for age, gender, baseline body mass index, platelet count, and alanine aminotransferase (all patients, aHR=2.96, 95% CI: 1.41～6.24, P=0.005; cirrhosis subgroup, aHR=2.74, 95% CI:1.26～5.95, P=0.011). Conclusions:LSM<10 kPa before antiviral treatment had a lower risk of liver-related endpoint events following two years of treatment among CHB patients with liver fibrosis. LSM ≥10 kPa before antiviral treatment and LSM persisted ≥10 kPa two years following treatment had a significantly higher occurrence risk of liver-related endpoints than LSM<10 kPa following treatment among CHB patients with liver fibrosis.

The red doctor spirit is the advanced culture of the Communist Party of China formed under a specific historical and cultural background. It can be summarized as “political firmness， excellent technology， working hard， and healing the wounded and rescuing the dying.” This content has many hidden similarities and integrations with the goal of cultivating humanistic literacy for medical students in military medical universities. This paper aimed to identify the important connection points between the red doctor spirit and the contents and goals of medical humanities teaching， as well as integrate the red doctor spirit into medical humanities teaching by various dimensions， including systematic reconstruction of textbook content， immersive innovation in teaching form， three-dimensional support in resource construction， and innovative implementation of narrative medicine teaching. It also further explored the extension of the red doctor spirit in military medical humanistic literacy， namely， revolutionary humanism and revolutionary heroism， thereby enhancing the effectiveness of medical humanistic teaching.

Objective To develop a convolutional neural network based model for predicting the dose distribution of intensity-modulated radiotherapy(IMRT)in cervical cancer,and to evaluate its potential applications in automated treatment planning.Methods The pelvic IMRT plans for 100 female patients were collected,with 80 cases in the training set,10 in the validation set,and 10 in the test set.A dose prediction model was built based on the three-dimensional(3D)residual network for forecasting 3D dose distribution.Masks for organs-at-risk and planning target areas were extracted from CT images and RT Structure files.Density values were assigned to different structures according to a density map,and the resulting CT maps were used as input images for model training.The optimal model was used to predict the 3D dose distribution,and the predicted results were compared with the dose distribution from manual treatment planning in terms of dosimetric parameters.Results The experimental results on the 10-case test set demonstrated that dosimetric parameter differences were insignificant and within clinically acceptable ranges.The mean absolute error,average Dice similarity coefficient,and 95%Hausdorff distance for 10 cases in test set were(0.58±0.16)Gy,0.90±0.03,and(10.61±7.17)mm,respectively.Compared with manual planning,prediction model showed slightly decreased rectal V45,small bowel D2cc,and the V20 of bilateral femoral heads was reduced.The predicted D95 of planning target area was lower than manual planning,but the differences in D90,homogeneity index,and conformity index were trivial.There were minor differences in 3D dose distributions between the two,and the dose distribution generated by prediction model met clinical requirements.Conclusion The convolutional neural network based dose prediction model can accurately forecast the dose distribution for cervical cancer IMRT,exhibiting the potential to be used in automated treatment planning and quality evaluation.