ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

BACKGROUND:Previous studies have found that neohesperidin can delay bone loss in ovariectomized mice and has the potential to treat osteoporosis,but its specific mechanism of action remains to be explored. OBJECTIVE:To explore the key targets and possible mechanisms of neohesperidin in the treatment of osteoporosis based on bioinformatics and cell experiments in vitro. METHODS:The gene expression dataset related to osteoporosis was obtained from GEO database,and the differentially expressed genes were screened and analyzed in R language.The osteoporosis-related targets were screened from GeneCards and DisGeNET databases,and the neohesperidin-related targets were screened from ChEMBL and PubChem databases,and the common targets were obtained by intersection of the three.The String database was used to construct the PPI network of intersection genes,and the key targets were screened.The DAVID database was used for GO and KEGG enrichment analysis.The AutoDock software was used to verify the molecular docking between the neohesperidin and the target protein.The effect of neohesperidin on osteogenic differentiation of C57 mouse bone marrow mesenchymal stem cells was detected.Complete medium was used as blank control group;osteogenic induction medium was used as the control group;and osteogenic induction medium containing different concentrations of neohesperidin(25,50 μmol/L)was used as experimental group.The expression of alkaline phosphatase,the degree of mineralization,the expression of osteogenic-related genes and target genes during osteogenic differentiation of cells were measured at corresponding time points. RESULTS AND CONCLUSION:(1)9 253 differentially expressed genes,2 161 osteoporosis-related targets,and 326 neohesperidin-related targets were screened.There were 53 common targets among the three.All 53 genes were up-regulated in osteoporosis samples.The PPI network screened the target gene PRKACA of research significance.GO function and KEGG pathway enrichment analysis showed that neohesperidin's treatment of osteoporosis through PRKACA target mainly depended on biological processes such as protein phosphorylation and protein autophosphorylation,acting on endocrine resistance,proteoglycan in cancer,and estrogen signaling pathway to play a therapeutic role.Molecular docking results showed that neohesperidin had a certain binding ability to the protein corresponding to the target PRKACA.(2)The results of alkaline phosphatase staining showed that neohesperidin could promote the expression of alkaline phosphatase in the early stage of osteogenic differentiation of mesenchymal stem cells.Alizarin red staining showed that neohesperidin could promote the mineralization of osteogenic differentiation of mesenchymal stem cells.RT-qPCR results showed that neohesperidin could increase the mRNA expression of alkaline phosphatase,PRKACA,and osteocalcin.(3)These results indicate that neohesperidin may promote osteogenic differentiation through PRKACA target on the estrogen signaling pathway to prevent and treat osteoporosis.

ObjectiveTo investigate the safety and efficacy of endoscopic ultrasound-guided tissue adhesive injection with the assistance of metal clips in the treatment of cirrhotic patients with gastric varices and gastric-renal shunt （GRS）. MethodsThe patients who attended Beijing Ditan Hospital， Capital Medical University， due to liver cirrhosis and gastric varices from February to June 2023 were enrolled， and all patients were confirmed to have GRS and received endoscopic ultrasound-guided tissue adhesive injection with the assistance of metal clips. The primary evaluation index was alleviation or disappearance of varicose veins after surgery， and the secondary evaluation indices were surgical completion and complications. ResultsA total of 11 patients were enrolled in this study， among whom there were 7 male patients and 4 female patients， with a median age of 55 years. Of all patients， 1 had Child class A liver function， 7 had Child class B liver function， and 3 had Child class C liver function. The maximum （median） diameter of the shunt was 8 mm， and the minimum （median） diameter of the shunt was 4 mm. The median blood flow velocity of the target vessel was 11 cm/s before treatment and 5 cm/s after occlusion with metal clips. The median amount of tissue adhesive injected was 2 mL， and the amount of lauromacrogol used was 1 mL. Disappearance of blood flow signals was observed in all patients after surgery （100%）， and the success rate of surgery was 100%. No patient experienced rebleeding after follow-up for 6 weeks. Gastroscopy at 1 month after surgery showed that gastric varices were eradicated or almost disappeared in 9 patients and were alleviated in 2 patients. ConclusionEndoscopic ultrasound-guided tissue adhesive injection with the assistance of metal clips is a feasible， safe， and effective treatment method for cirrhotic patients with gastric varices and GRS.

ObjectiveTo establish a qualitative and quantitative analysis method for chemical constituents in Liu Junzitang（LJZT）， and to clarify its material basis. MethodThe chemical constituents in LJZT were analyzed by ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， and the resulting compounds were identified by using databases， such as MassBank， PubChem， ChemSpider， Traditional Chinese Medicine Systems Pharmacology Database and Analytical Platform（TCMSP）， and by combining with relevant literature. UPLC was used to establish a quantitative method for analysis of 9 compounds in LJZT， including liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ. ResultBy combining the relevant literature， database and MS information， a total of 79 compounds were identified from LJZT， including 31 flavonoids， 15 terpenoids， 14 nitrogen-containing compounds， 6 phenylpropanoids， 6 organic acids and 7 other compounds. The established quantitative analytical method for the nine representative components showed good linearity within their respective linear ranges， and the precision， stability， reproducibility and recovery were in accordance with the requirements. The quantitative results showed that the contents of liquiritin， hesperidin， lobetyolin， liquiritigenin， glycyrrhizic acid， nobiletin， tangeretin， atractylenolide Ⅱ and Ⅰ in LJZT were 0.376 5， 2.602 1， 0.082 6， 0.128 1， 1.778 6， 0.015 7， 0.006 7， 0.030 4， 0.003 2 mg·g^-1， respectively. ConclusionThe established method can quickly， sensitively and accurately analyze the chemical constituents in LJZT， clarify that the material basis of LJZT is mainly flavonoids， terpenoids and nitrogen-containing compounds， and simultaneously determine the contents of the 9 components， which can lay a foundation for the research on quality control， mechanism and clinical application of LJZT.

Objective To investigate the effect of blood flow restriction combined with low-intensity plyometric jump training(LI-PJT+BFR)on lower limb dynamic postural control of functional ankle instability(FAI)in college students. Methods From March to May,2023,40 FAI college students were recruited from Xi'an Physical Education University,and randomly divided into high-intensity plyometric jump training(HI-PJT,n = 14)group,low-intensity plyomet-ric jump training(LI-PJT,n = 13)group and LI-PJT+BFR group(n = 13).All the groups finished the six-week corresponding training.The maximum voluntary isometric contraction(MVIC)of tibialis anterior,peroneus lon-gus,lateral head of gastrocnemius,gluteus maximus,vastus lateralis,biceps femoris and semitendinosus were measured,and the root mean square(RMS)of electromyography of these muscles was measured during the sin-gle-leg landing(SLL),using wireless surface electromyography before and after intervention.Moreover,they were assessed with Y-balance test and Cumberland Ankle Instability Tool(CAIT). Results MVIC and RMS of the target muscles improved after intervention in all the groups(t>2.218,P<0.05),except MVIC and RMS of peroneus longus,gluteus maximus,biceps femoris and semitendinosus in LI-PJT group,and RMS of peroneus longus in LI-PJT+BFR group;and MVIC and RMS of the target muscles were the least in LI-PJT group(F>3.262,P<0.05),except those of peroneus longus.The extension scores of Y-balance test and the total score improved after intervention(t>2.485,P<0.05),and they were the least in LI-PJT group(F>5.042,P<0.05).The CAIT score improved after intervention(t>5.227,P<0.001),and it was the least in LI-PJT group(F = 4.640,P<0.05). Conclusion LI-PJT+BFR could improve lower limb dynamic postural control of FAI college students,which is similar to HI-PJT.

Objective:To evaluate direct and indirect costs for schizophrenia,major depressive disorder(MDD)and bipolar disorder,and to compare their differences of cost composition,and to explore the drivers of the total costs.Methods:A total of 3 175 inpatients with schizophrenia,MDD,and bipolar disorder were recruited.In-patient's self-report total direct of medical costs outpatient and inpatient,out-of-pocket costs,and direct non-medical costs were regarded as direct costs.Productivity loss and other loss caused by damaging properties were defined as indirect costs.The perspectives of this study included individual and societal levels.Multivariate regression analysis was applied for detecting the factors influencing disease costs.Results:The total cost of schizophrenia was higher than those of MDD and bipolar disorder at individual and societal levels.The indirect costs of three mental disorders were higher than the direct costs,and the indirect cost ratio of bipolar disorder was higher than those of schizophre-nia and MDD.Age,gender,working condition and marital status(P＜0.05)were the important drivers of total costs.Conclusion:The economic burden of the three mental disorders is relatively heavy.Schizophrenia has heaviest disease burden,and the productivity loss due to mental disorders is the driving force of the soaring disease cost

Gastroesophageal reflux disease （GERD） is a prevalent chronic digestive disorder， affecting about 20% of the population. In addition to the typical symptoms of acid regurgitation and pyrosis， GERD can lead to chronic esophageal mucosal inflammation， thereby increasing the risk of esophageal carcinoma. Proton pump inhibitors （PPIs） have emerged as the primary pharmacological intervention due to their efficacy in reducing gastric acid production. However， the long-term use of PPIs is associated with various complications， including malabsorption of nutrients， heightened susceptibility to enteric infections， and an elevated risk of fractures. These concerns have driven the pursuit of safer and more efficacious therapeutic alternatives by both patients and healthcare providers. Recent studies have highlighted the role of persistent inflammation triggered by irritation of the esophageal epithelial cells in the pathogenesis of GERD. Such inflammation not only exacerbates mucosal damage but also contributes to the chronicity and complexity of the disease. Consequently， the development of novel anti-inflammatory therapeutic strategies has become a focus in contemporary research. Chinese herbal medicine prescriptions， with distinctive anti-inflammatory and antioxidant properties， offer a promising avenue for the management of GERD. These prescriptions， composed of a variety of herbal medicines， are prescribed in accordance with the traditional Chinese medicine （TCM） principle of harmonizing Qi， blood， and Yin-Yang， thereby addressing the underlying disease processes. Among the numerous Chinese herbal medicine prescriptions for GERD， ingredients such as Coptidis Rhizoma， Bupleuri Radix， Euodiae Fructus， Glycyrrhizae Radix et Rhizoma， and Atractylodis Macrocephalae Rhizoma are commonly utilized for their effects of inhibiting inflammation， modulating immune functions， and alleviating oxidative stress. Despite the potential in treating GERD， concrete evidence-based medical proof of these prescriptions remains limited. This review summarizes the anti-inflammatory mechanisms and prospects of Chinese herbal medicines in treating GERD， providing an outlook on the value of these medicines in the anti-inflammatory management of GERD.

Objective:To evaluate the 1-year postoperative efficacy and nutritional indicators of single-anastomosis duodeno-ileal bypass with sleeve gastrectomy (SADI-S) in obese patients.Methods:This retrospective observational study included patients with a body mass index (BMI) of ≥40.0 kg/m 2 regardless of other related metabolic diseases and patients with severe type 2 diabetes and a BMI between 27.5 and 40.0 kg/m 2. The clinical data of 66 obese patients who underwent SADI-S at the Bariatric and Metabolic Surgery Department of China-Japan Union Hospital of Jilin University from November 2018 to May 2022 were collected, including 53 cases of da Vinci robotic surgery and 13 cases of laparoscopic surgery. The patients comprised 38 men and 28 women with a median age of 35 (18–61) years and a mean preoperative BMI of 42.93 ± 6.82 kg/m 2. A total of 38 patients had type 2 diabetes, and 46 had hyperuricemia, 45 had hypertension, 35 had hyperlipidemia, 12 had hypercholesterolemia, and 12 had a high low-density lipoprotein (LDL) level. The main observation indicators were (1) intraoperative and postoperative conditions; (2) weight loss outcomes, including body weight, BMI, excess body weight loss (%EWL), and total body weight loss (%TWL) at 3, 6, and 12 months after surgery; (3) effects of treatment on metabolic disease; and (4) changes in nutrient indicators. Results:(1) Intraoperative and postoperative conditions: All patients successfully underwent SADI-S with neither conversion to laparotomy nor death. Four (6.1%) patients developed postoperative complications, and all of them recovered and were discharged after conservative or surgical treatment. (2) Weight loss outcomes: %EWL at 3, 6, and 12 months after surgery was 62.07 ± 26.56, 85.93 ± 27.92, and 106.65 ± 29.65, respectively, and %TWL was 22.67 ± 4.94, 32.10 ± 5.18, and 40.56 ± 7.89, respectively. Body weight and BMI 3 to 12 months after surgery were significantly lower than those before surgery (all P < 0.001). (3) Effect of treatment on metabolic disease: 3 to 12 months after surgery, fasting blood sugar, HbA1c, uric acid, systolic blood pressure, diastolic blood pressure, triglycerides, total cholesterol, LDL, and other indicators were significantly lower than those before surgery (all P < 0.05). Twelve months after surgery, the remission rates of diabetes, hyperuricemia, hypertension, hypertriglyceridemia, hypercholesterolemia, and high LDL were 100% (38/38), 65.2% (30/46), 62.2% (28/45), 94.3% (33/35), 100% (12/12), and 100% (12/12), respectively. (4) Changes in nutrient indicators: Compared with the preoperative nutrient levels, the hemoglobin and hematocrit levels were lower at 3 to 12 months after surgery, the total protein level was lower at 6 to 12 months after surgery, the albumin level was lower at 6 months after surgery, and the ferritin level was lower at 3 months after surgery. The differences were statistically significant (all P < 0.05). The incidence of anemia was 6.1% (4/66), hypoalbuminemia was 4.5% (3/66), and ferritin deficiency was 4.5% (3/66), all of which were improved or normalized through conservative treatment. Twelve months after surgery, 30 (45.5%) patients had vitamin A deficiency, 17 (25.8%) had vitamin E deficiency, 11 (16.7%) had folic acid deficiency, 2 had potassium deficiency (3.0%), 3 (4.5%) had calcium deficiency, 2 (3.0%) had magnesium deficiency, 9 (13.6%) had iron deficiency, and 16 (24.2%) had zinc deficiency. However, no relevant clinical symptoms occurred. Conclusions:SADI-S has a very significant effect on weight loss and alleviation of metabolic diseases. Nutrient deficiencies after SADI-S mainly involve vitamin A, vitamin E, zinc, and folic acid. The long-term efficacy and safety of SADI-S still need further follow-up observation.

Postpartum weight recovery refers to the process of behavior change in which the weight returns to the pre-pregnancy state at a certain point in the postpartum period.This paper reviews the overview,influencing factors,intervention methods,evaluation indicators,existing problems and prospects of postpartum weight recovery,in order to provide references and basis for the development of postpartum weight management guidelines,postpartum weight management intervention measures,and related research on promoting postpartum women's physical and mental health.

Objective To explore the application effect of healthcare failure mode and effect analysis (HFMEA) in nursing risk management of emergency surgery for patients with traumatic brain injury (TBI). Methods Taking the HFMEA model as the theoretical framework, the emergency surgical process of TBI was analyzed, a flow chart was drawn, and the potential risk factors were analyzed. Corresponding intervention programs were adopted for high-risk failure modes, and 80 patients from November 2022 to April 2023 were conducted with routine management before implementation of HFMEA (control group), the other 80 patients from May to October 2023 were conducted with management after implementation of HFMEA (observation group). The surgical efficiency (preoperative waiting time, surgical preparation time, anesthesia induction time, postoperative handover time), the incidence rates of adverse events in the operation room (incomplete preparation of supplies, contamination of surgical drapes, insufficient or defective intraoperative instruments, errors in writing nursing records, incorrect or missing items in handover information), the incidence rates of perioperative complications (low intraoperative body temperature, pressure injury, abnormal fluctuations in vital signs during surgery, wound infection, lung infection) and satisfaction degree of surgical doctors to nurses for current operations (itinerant nurses, instrument nurses) were compared between two groups. Results The observation group had significantly shorter preoperative waiting time, surgical preparation time, anesthesia induction time, and postoperative handover time compared to the control group (P < 0.01). The incidence rate of adverse events in the operation room for the observation group was 16.25%, which was significantly lower than 46.25% of the control group (P < 0.01). The incidence rate of complications was 8.75% in the observation group, which was significantly lower than 26.25% in the control group (P < 0.01). Satisfaction degree of the doctors to nurses for the current operation in the observation group was significantly higher than that in the control group (P < 0.05). Conclusion Application of the HFMEA model in the perioperative nursing management of patients with emergency surgery for TBI can effectively improve surgical efficiency, reduce the incidence rates of nursing-related adverse events and complications, and enhance satisfaction degree of doctors to nurses in operation room.