Cirrhotic portal hypertension is a clinical syndrome caused by persistently elevated portal venous pressure due to liver cirrhosis and can lead to a series of complications， among which esophagogastric variceal bleeding has become one of the most severe complications due to sudden onset and a high mortality rate. Since the release of Expert consensus on diagnosis and treatment of esophagogastric variceal bleeding in cirrhotic portal hypertension （2019 edition）， significant advances have been achieved in this field in China and globally. In order to formulate an expert consensus aligned with the situation of China， Chinese Society of Surgery， Chinese Medical Association organized and compiled Expert Consensus on diagnosis and treatment of esophagogastric variceal bleeding in cirrhotic portal hypertension （2025 edition）. This article elaborates on the key updates in the new edition and explores the major differences between the old and new editions， in order to enhance the understanding of the new edition among clinicians and provide a reference for clinicians in clinical work.

Osteoporosis is a common bone disease， whose incidence is still on the rise， posing great challenges to patients and society. This review mainly studies the pathogenesis of osteoporosis from the aspects of oxidative stress， inflammatory response， and glucolipotoxicity-induced injury and clarifies the efficacy and mechanism of some active ingredients of traditional Chinese medicine against osteoporosis through the integration of in vitro and in vivo experiments. The experimental results suggest that some active ingredients can improve bone resorption markers and maintain bone homeostasis by modulating inflammation， oxidative stress， etc. These active ingredients regulate osteoporosis through the receptor activator of nuclear transcription factor-κB （NF-κB） ligand （RANKL） pathway， osteoprotegerin （OPG） pathway， Wnt/β-catenin pathway， NF-κB pathway， mitogen-activated protein kinase （MAPK） pathway， adenosine monophosphate （AMP）-activated protein kinase （AMPK）/mammalian target of rapamycin （mTOR） pathway， and oxidative stress pathway. This review provides ideas for the progress of the prevention and treatment of osteoporosis with the active ingredients of traditional Chinese medicine， aiming to provide new potential lead compounds and reference for the development of innovative drugs and clinical therapy for the treatment of osteoporosis.

Objective To explore the time-varying pattern of potential symptoms in breast cancer patient before and after chemotherapy,and further analyze its influencing factors,aims to provide reference for clinical nursing practice.Methods 233 cases of breast cancer in a tertiary A hospital in Ningxia from June to October,2023 were selected as the research subjects.By the general information questionnaire and the Chinese version of Anderson Symptom Assessment Scale,the potential change of symptoms of breast cancer patients undergoing chemotherapy 1-3 days before the first chemotherapy(T1,233 cases)and 7-14 days after the third or fourth chemotherapy(T2,225 cases)was analyzed.Results 225 cases of breast cancer patients completed 2 surveys,and their symptom characteristics before and after chemotherapy can be divided into 2 categories:a high symptom troubled group and a low symptom troubled group.The high-symptom troubled group has strong stability,and the probability of maintaining the original group is 85.20％,while the low-symptom troubled group is more inclined to change to the high-symptom troubled group,and the transition probability is 26.60％.Logistic regression analysis showed that the mass was located on the left side,and the patients who obtained disease knowledge mainly through the Internet were more likely to change from the high symptom troubled group to the low symptom troubled group,while the patients who were employed,with unsatisfactory sleep at night,and never exercised were more likely to change from the low symptom troubled group to the high symptom troubled group.Conclusion The symptoms of breast cancer patients before and after chemotherapy are heterogeneous.Patients who are on the job,have unsatisfied sleep at night and never exercise are more likely to change from the low-symptom troubled group to the high-symptom troubled group,which suggests that medical staff should identify potential high-risk groups at an early stage,and make full use of the predictive function of symptom characteristics to carry out individualized management based on the dynamic monitoring of symptoms according to different types of population characteristics,so as to reduce the burden of symptoms and improve their quality of life.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.

Objective:To explore the potential profile characteristics of cancer-related worries in patients after surgery for early-stage lung cancer, and the influencing factors of different categories, provide reference for patients to formulate individualized rehabilitation programs and psychological intervention measures.Methods:A cross-sectional survey method was used to conveniently select patients who received outpatient follow-up after lung cancer surgery at Shanghai Pulmonary Hospital Affiliated to Tongji University from October 2022 to October 2023 as the survey subjects. The general information questionnaire, the Chinese version of Brief Cancer-related Worry Inventory, the Chinese version of the MD Anderson Symptom Inventory, Brief Illness Perception Questionnaire, 10-item Connor Davidson Resilience Scale and Medical Coping Modes Questionnaire were examined. Latent profile analysis was performed on the cancer-related worry scores of lung cancer surgery patients, and its influencing factors were explored by binary Logistic regression analysis.Results:A total of 302 patients after lung cancer surgery were included, including 111 males and 191 females, aged 18-83(52.73 ± 13.07) years, and the Chinese version of the Brief Cancer-related Worry Inventory scored 380.00 (130.00, 720.00) points. The cancer-related worry of patients after lung cancer surgery could be divided into two potential profile categories: "high worry type" (138 patients accounted for 45.70%) and "low worry type" (164 patients accounted for 54.30%). Symptom burden ( OR=1.055, 95% CI 1.039-1.072), illness perception ( OR=1.190, 95% CI 1.127-1.256), resilience ( OR=0.933, 95% CI 0.886-0.983), and coping modes of confrontation ( OR=0.857, 95% CI 0.757-0.971) and acceptance-resignation ( OR=1.247, 95% CI 1.050-1.481) were influencing factors for grouping cancer related worry profiles (all P<0.05). Conclusions:There was significant heterogeneity in the level of cancer-related worries among patients after surgery for early-stage lung cancer. It is recommended that medical staff provide targeted continuity care measures based on the characteristics of worries of different categories of patients to improve patients' postoperative mental health and quality of life.

Objective:To explore the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy, analyze the differences of symptoms among different categories of patients, and compare their quality of life according to different categories.Methods:This was a cross-sectional study. From January to June 2023, 240 patients with early breast cancer who received chemotherapy after surgery in General Hospital of Ningxia Medical University were selected by convenience sampling. They were investigated by general information questionnaire, Memory Symptom Assessment Scale, and Functional Assessment of Caner Therapy-Breast Cancer. Mplus 8.3 was used to carry out potential profile analysis and identify the potential categories of symptom characteristics of early breast cancer patients undergoing postoperative chemotherapy. Binary Logistic regression analysis was used to determine the influencing factors of symptom characteristics. SPSS 26.0 software was used to compare the differences in quality of life scores of patients undergoing postoperative chemotherapy for different categories of early breast cancer.Results:Totally 233 valid questionnaires were ultimately collected, with an age of 50.85 ± 8.09. There were two potential categories of postoperative chemotherapy patients with early breast cancer: low symptom troubled group (159 cases, 68.2%) and high symptom troubled group (74 cases, 31.8%). The quality of life score of the high symptom distress group was (76.84 ± 13.15) points, which was significantly lower than (89.56 ± 11.29) points of the low symptom distress group, and the difference was statistically significant ( t=7.18, P<0.01). Logistic regression analysis showed that patients with early breast cancer who had financial burden after postoperative chemotherapy were more likely to belong to the group with high symptoms [ OR (95% CI) was 3.028 (1.434-6.394), P<0.01]. Postoperative chemotherapy patients with early breast cancer who had satisfactory sleep at night are more likely to belong to the group with low symptoms [ OR(95% CI) was 0.446 (0.217-0.920), P<0.05]. Conclusions:There is population heterogeneity in the symptom characteristics of patients with early breast cancer undergoing postoperative chemotherapy. and economic burden and night sleep are the influencing factors of symptom distress categories of breast cancer patients. It is suggested that medical staff should give individualized and targeted intervention measures centered on patients′ needs according to different types of population characteristics, so as to reduce the symptom burden and improve their quality of life.

Objective To explore the time-varying pattern of potential symptoms in breast cancer patient before and after chemotherapy,and further analyze its influencing factors,aims to provide reference for clinical nursing practice.Methods 233 cases of breast cancer in a tertiary A hospital in Ningxia from June to October,2023 were selected as the research subjects.By the general information questionnaire and the Chinese version of Anderson Symptom Assessment Scale,the potential change of symptoms of breast cancer patients undergoing chemotherapy 1-3 days before the first chemotherapy(T1,233 cases)and 7-14 days after the third or fourth chemotherapy(T2,225 cases)was analyzed.Results 225 cases of breast cancer patients completed 2 surveys,and their symptom characteristics before and after chemotherapy can be divided into 2 categories:a high symptom troubled group and a low symptom troubled group.The high-symptom troubled group has strong stability,and the probability of maintaining the original group is 85.20％,while the low-symptom troubled group is more inclined to change to the high-symptom troubled group,and the transition probability is 26.60％.Logistic regression analysis showed that the mass was located on the left side,and the patients who obtained disease knowledge mainly through the Internet were more likely to change from the high symptom troubled group to the low symptom troubled group,while the patients who were employed,with unsatisfactory sleep at night,and never exercised were more likely to change from the low symptom troubled group to the high symptom troubled group.Conclusion The symptoms of breast cancer patients before and after chemotherapy are heterogeneous.Patients who are on the job,have unsatisfied sleep at night and never exercise are more likely to change from the low-symptom troubled group to the high-symptom troubled group,which suggests that medical staff should identify potential high-risk groups at an early stage,and make full use of the predictive function of symptom characteristics to carry out individualized management based on the dynamic monitoring of symptoms according to different types of population characteristics,so as to reduce the burden of symptoms and improve their quality of life.

Portal vein thrombosis(PVT)is a common and severe complication in patients with liver cirrhosis,and alterations in portal hemodynamics are closely associated with the development of PVT.The presence of large spontaneous splenorenal shunt(SSRS)may lead to reductions in portal vein perfusion and blood flow velocity,which may compromise the anticoagulant effect on PVT.This article reports the treatment strategies of SSRS embolization combined with anticoagulant therapy that help to achieve complete recanalization of the portal vein;however,high-quality clinical studies are still needed to further validate and support the effectiveness of this strategy.

Magnetic resonance angiography(MRA)is a non-invasive imaging technique used to observe blood vessels.Quantitative analysis of MRA images enables visualization of vascular pathways,condition,and blood flow dynamics,which is essential for diagnosing vascular diseases such as vascular lesions,stenosis,and occlusions.Vessel segmentation serves as the fundamental basis for quantitative vascular analysis.However,the complex morphology of vessels,difficulties in labeling,and scarcity of accurate 3D vascular annotations pose significant challenges for MRA-based vessel segmentation.A strategy of selectively occluding vessels during model training is proposed to enhance the algorithm's capacity to capture the topological structure of blood vessels,thereby improving the continuity of vessel segmentation results.Additionally,a Refine network is incorporated to refine the binary segmentation results of the segmentation network,thereby further improving segmentation accuracy.Model training and testing are carried out using 42 cases of 3D MRA data from the public MIDAS dataset.For the test set,the 3D U-Net baseline model with vessel occlusion strategy shows a β0 Error of 1.2742±0.2103 and a β1 Error of 0.3393±0.0818,respectively,which are 0.1136 and 0.0280 lower than the baseline.The model integrating vessel occlusion strategy and Refine network achieves an average Dice score of 0.7105±0.0125,which is 0.0028 higher than the baseline.These results demonstrate that the proposed method effectively improves both vascular connectivity and segmentation accuracy.

The number of patients with eye diseases in China is enormous,and the negative effects of these conditions,such as impaired visual function,psychological burdens,and restricted social participation,are becoming increasingly severe.Due to the limited and unevenly distributed ophthalmic resources,and the significant limitations of traditional diagnostic and therapeutic approaches in terms of accuracy and efficiency,there is an urgent need for more sensitive and efficient modalities.With the rapid advancement of artificial intelligence technology,ophthalmic diagnosis has entered a new stage of intelligent transformation.Facial photos,as a noninvasive and convenient medium,show unique advantages in eye disease diagnosis.Artificial intelligence systems based on facial photo analysis have been applied to the screening and diagnosis of conditions such as myopia,strabismus,ptosis,and thyroid eye disease,showing promising results.This review introduces the workflow of intelligent diagnosis for ocular diseases based on facial photographs,with a focus on recapitulating relevant research findings both domestically and internationally in recent years.It summarizes the innovative features and application advantages of intelligent diagnosis systems for eye diseases based on facial photos,analyzes the current technical bottlenecks and challenges in application,proposes corresponding countermeasures,and discusses future development directions,aiming to provide references and new insights for the intelligent screening and diagnosis of eye diseases.