Objective To establish a stable and reliable sepsis model of rat after liver transplantation (LT) for clinical translational research and analyze its characteristics. Methods The "two-sleeve method" was used to establish the in situ LT model of SD rats, and the sepsis model was constructed through cecal ligation and puncture (CLP) at 3 d after the operation. SD rats were randomly divided into 3 groups: sham operation group (Sham group), LT group, and LT + CLP group, with 6 rats in each group. The changes in body weight, rectal temperature and survival rate were compared, and the sepsis score was used for evaluation. The levels of blood biochemical indicators [alanine aminotransferase (ALT), aspartate aminotransferase (AST), urea (Urea), creatinine (Cr), creatine kinase (CK), lactate dehydrogenase (LDH)] and inflammatory factors [interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor (TNF)-α] in each group were detected, and the pathological changes and cell apoptosis in different organs were observed. Results Compared with the Sham group, the body weight of the LT group and LT + CLP group decreased (all P<0.05). The rectal temperature of the LT + CLP group showed a continuous downward trend after the operation, the sepsis score increased sharply after the operation, and the survival rate dropped to 16.7%, and the differences between the Sham group, LT group and LT + CLP group were statistically significant (all P<0.05). The levels of ALT, AST, Urea, Cr, CK, LDH, and serum IL-1β, IL-6, IL-10 and TNF-α in the LT + CLP group were higher than those in the Sham group and LT group rats within 72 hours after the operation(all P<0.05). The pathological examination of the LT + CLP group showed severe tissue structure destruction, necrosis and infiltration of inflammatory cells in multiple organs, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining showed an increased level of cell apoptosis in multiple organs. Conclusions Using liver transplantation combined with CLP, a stable animal model of liver transplantation infection is successfully established, which exhibits a high mortality rate, significant multi-organ damage and intense inflammatory response, providing an ideal animal model for transplantation infection research.

Objective To evaluate the predictive ability and clinical application value of artificial intelligence (AI) systems in the benign and malignant differentiation and pathological type of pulmonary nodules, and to summarize clinical application experience. Methods A retrospective analysis was conducted on the clinical data of patients with pulmonary nodules admitted to the Department of Thoracic Surgery, Second Hospital of Lanzhou University, from February 2016 to February 2025. Firstly, pulmonary nodules were divided into benign and non-benign groups, and the discriminative abilities of AI systems and clinicians were compared. Subsequently, lung nodules reported as precursor glandular lesions (PGL), microinvasive adenocarcinoma (MIA), and invasive adenocarcinoma (IAC) in postoperative pathological results were analyzed, comparing the efficacy of AI systems and clinicians in predicting the pathological type of pulmonary nodules. Results In the analysis of benign/non-benign pulmonary nodules, clinical data from a total of 638 patients with pulmonary nodules were included, of which there were 257 males (10 patients and 1 patient of double and triple primary lesions, respectively) and 381 females (18 patients and 1 patient of double and triple primary lesions, respectively), with a median age of 55.0 (47.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis of the two groups of variables showed that, except for nodule location, the differences in the remaining variables were statistically significant (P<0.05). Multivariate logistic regression analysis showed that age, nodule type (subsolid pulmonary nodule), average density, spicule sign, and vascular convergence sign were independent influencing factors for non-benign pulmonary nodules, among which age, nodule type (subsolid pulmonary nodule), spicule sign, and vascular convergence sign were positively correlated with non-benign pulmonary nodules, while average density was negatively correlated with the occurrence of non-benign pulmonary nodules. The area under the receiver operating characteristic curve (AUC) of the malignancy risk value given by the AI system in predicting non-benign pulmonary nodules was 0.811, slightly lower than the 0.898 predicted by clinicians. In the PGL/MIA/IAC analysis, clinical data from a total of 411 patients with pulmonary nodules were included, of which there were 149 males (8 patients of double primary lesions) and 262 females (17 patients of double primary lesions), with a median age of 56.0 (50.0, 61.0) years. Different lesions in the same patient were analyzed as independent samples. Univariate analysis results showed that, except for gender, nodule location, and vascular convergence sign, the differences in the remaining variables among the three groups of PGL, MIA, and IAC patients were statistically significant (P<0.05). Multinomial multivariate logistic regression analysis showed that the differences between the parameters in the PGL group and the MIA group were not statistically significant (P>0.05), and the maximum diameter and average density of the nodules were statistically different between the PGL and IAC groups (P<0.05), and were positively correlated with the occurrence of IAC as independent risk factors. The average AUC value, accuracy, recall rate, and F1 score of the AI system in predicting lung nodule pathological type were 0.807, 74.3%, 73.2%, and 68.5%, respectively, all better than the clinical physicians’ prediction of lung nodule pathological type indicators (0.782, 70.9%, 66.2%, and 63.7% respectively). The AUC value of the AI system in predicting IAC was 0.853, and the sensitivity, specificity, and optimal cutoff value were 0.643, 0.943, and 50.0%, respectively. Conclusion This AI system has demonstrated high clinical value in predicting the benign and malignant nature and pathological type of lung nodules, especially in predicting lung nodule pathological type, its ability has surpassed that of clinical physicians. With the optimization of algorithms and the adequate integration of multimodal data, it can better assist clinical physicians in formulating individualized diagnostic and treatment plans for patients with lung nodules.

To evaluate long-term survival and clinical outcomes of patients with knee osteo-arthritis undergoing total knee arthroplasty (TKA) through long-term follow-up.

Objective:To investigate the clinicopathological features of advanced-stage mycosis fungoides (MF).Methods:A retrospective case-series study was conducted. The clinical data of 5 cases diagnosed with advanced-stage MF in Chengdu Second People's Hospital between January 2015 and July 2023 were analyzed. The clinicopathological features of patients were summarized.Results:There were 2 males and 3 females in 5 MF patients, with the median age of 55 years (45-86 years) and the medical history of 2-16 years. The main symptoms were pruritus and erythema. The lesions were presented by erythema, scales, plaques, blisters, erosion, ulcers, pigmentation, nodules, and erythroderma. Histopathological examination showed different skin lesion patterns such as psoriasis-like, interfacial dermatitis, non-infectious granuloma, deep and shallow perivascular dermatitis, tumors. Among 5 patients, 1 case was mycosis fungoides bullosa, 2 cases were erythrodermic MF, 1 case was granulomatous MF, and 1 case was classical MF. Lymphocyte epidermis was found in 4 cases, cytoplasmic halos cells lined up along the basal layer of the epidermis and Pautrier microabscess were found in 3 cases, large-cell transformation was found in 1 case. Tumor cells were positive for CD3, CD4 and negative for CD8, CD56, ALK and CD20; EBER 1/2 hybridization in situ was negative. CD30 was positive in transformed large cells and T cell receptor gene rearrangement was positive. The tumor cells were detected in bone marrow and peripheral blood of 2 cases and in cerebrospinal fluid of 1 case. Head magnetic resonance imaging of 1 case indicated abnormal signal nodules in the right temporal region and the normal architecture of the lymph nodes in 2 cases was completed destroyed by malignant cells. TNMB stage: 2 cases were in stage Ⅱ B, 2 cases were in stage Ⅳ A2, and 1 case was in stage Ⅳ B. Interferon α-based systemic therapy was performed in 1 case, 2 cases received chemotherapy or combined with intrathecal injection and radiotherapy, and other 2 cases were not treated. All of them just achieved partial remission. Finally, 1 case died of sudden cardiac death, 2 cases died of lung infection, and 2 cases survived with tumors. Conclusions:Advanced-stage MF is presented with different skin lesion manifestations and histopathologic changes. Multidisciplinary combined management helps the diagnosis and treatment of MF.

ObjectiveTo explore the listed varieties and prescription characteristics of Chinese patent medicines for stroke in China， explore the medication rules of Chinese medicine for stroke， and provide guidance for further clinical research and development of Chinese patent medicines. MethodsExcel 2021 and the Ancient and Modern Medical Record Cloud Platform （V2.3.5） were used to systematically mine and analyze the varieties and prescriptions of Chinese patent medicines for stroke in China. ResultsA total of 244 Chinese patent medicines （two for different dosage forms of the same prescription）， 1 736 approval documents for Chinese patent medicines， 792 manufacturers， and 83 varieties of protected Chinese patent medicines were finally included in the database. The top three dosage forms were capsules （75）， pills （53）， and tablets （42）. There were 28 Chinese patent medicines for stroke in the National Essential Drug Catalogue （2018）， 129 in the National Essential Medical Insurance， Industrial Injury Insurance and Maternity Insurance Drug Catalogue （2023）， and 4 in the National Non-prescription Drug Catalogue. Among the 138 prescriptions screened out， Chinese patent medicines mainly treated stroke patients with the syndrome of Qi deficiency and blood stasis. The top three most frequent medicinal herbs were Chuanxiong Rhizoma （63）， Pheretima （47）， and Salviae Miltiorrhizae Radix et Rhizoma （47）. The medicinal herbs used were mainly warm， pungent， with the meridian tropism to the liver meridian. The correlation analysis showed that the herb pair with the highest support was Astragali Radix-Chuanxiong Rhizoma， and that with the highest confidence was Carthami Flos-Chuanxiong Rhizoma. Five herb combinations were identified based on the cluster analysis. ConclusionThe Chinese patent medicines for stroke mainly treat patients with the syndrome of Qi deficiency and blood stasis. The medicinal herbs used in the prescriptions mainly have the functions of activating blood and resolving stasis， extinguishing wind and stopping convulsions. Drug compatibility usually focuses on activating blood and resolving stasis， as well as expelling phlegm and opening orifices. This review of the varieties and prescription characteristics of Chinese patent medicines for stroke helps optimize clinical decision-making， guide drug research and development， promote medical research and scientific progress， and provide more effective support and guarantee for the treatment of stroke patients.

BACKGROUND: Lung cancer is one of the most common malignant tumors worldwide and a major cause of cancer-related deaths. Early-stage lung cancer is often manifested as pulmonary nodules, and accurate assessment of the malignancy risk is crucial for prolonging survival and avoiding overtreatment. This study aims to construct a model based on image feature parameters automatically extracted by artificial intelligence (AI) to evaluate its effectiveness in predicting the malignancy of part-solid nodule (PSN). METHODS: This retrospective study analyzed 229 PSN from 222 patients who underwent pulmonary nodule resection at Lanzhou University Second Hospital between October 2020 and February 2025. According to pathological results, 45 cases of benign lesions and precursor glandular lesion were categorized into the non-malignant group, and 184 cases of pulmonary malignancies were categorized into the malignant group. All patients underwent preoperative chest computed tomography (CT), and AI software was used to extract imaging feature parameters. Univariate analysis was used to screen significant variables; variance inflation factor (VIF) was calculated to exclude highly collinear variables, and LASSO regression was further applied to identify key features. Multivariate Logistic regression was used to determine independent risk factors. Based on the selected variables, five models were constructed: Logistic regression, random forest, XGBoost, LightGBM, and support vector machine (SVM). Receiver operating characteristic (ROC) curves were used to assess the performance of the models. RESULTS: The independent risk factors for the malignancy of PSN include roughness (ngtdm), dependence variance (gldm), and short run low gray-level emphasis (glrlm). Logistic regression achieved area under the curves ( AUCs) of 0.86 and 0.89 in the training and testing sets, respectively, showing good performance. XGBoost had AUCs of 0.78 and 0.77, respectively, demonstrating relatively balanced performance, but with lower accuracy. SVM showed an AUC of 0.93 in the training set, which decreased to 0.80 in the testing set, indicating overfitting. LightGBM performed excellently in the training set with an AUC of 0.94, but its performance declined in the testing set, with an AUC of 0.88. In contrast, random forest demonstrated stable performance in both the training and testing sets, with AUCs of 0.89 and 0.91, respectively, exhibiting high stability and excellent generalizability. CONCLUSIONS The random forest model constructed based on independent risk factors demonstrated the best performance in predicting the malignancy of PSN and could provide effective auxiliary predictions for clinicians, supporting individualized treatment decisions.
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Humans ; Male ; Female ; Lung Neoplasms/pathology* ; Middle Aged ; Retrospective Studies ; Artificial Intelligence ; Aged ; Tomography, X-Ray Computed ; Adult ; Solitary Pulmonary Nodule/diagnostic imaging* ; ROC Curve

Objective:To evaluate the outcomes of short-segment pedicle screw fixation after vertebroplasty augmentation using polymethylmethacrylate (PMMA) and laminectomy for stage Ⅲ Kümmell's disease with neurological symptoms.Methods:A retrospective study was conducted to analyze the clinical data of the 23 patients who had been treated at Department of Spinal Surgery, Beijing Jishuitan Hospital from January 2016 to August 2022 for single level stage Ⅲ Kümmell's disease with neurological symptoms by short-segment pedicle screw fixation after vertebroplasty augmentation using PMMA and laminectomy. There were 9 males and 14 females, with an age of (69.7±3.8) years. The visual analogue scale (VAS) for low back pain, Oswestry disability index (ODI) for low back pain, kyphotic Cobb angle of the fixed segment, and loss of the anterior vertebral body height were compared between preoperation, 2 weeks after operation, 2 years after operation, and the last follow-up. The improvements in American Spinal Injury Association (ASIA) impairment grading at the last follow-up compared to the preoperative levels, bone graft fusion rates at the last follow-up and complications were recorded.Results:All patients were followed up for (57.4±17.7) months after operation. The VAS pain scores [(2.2±0.3) points, (1.8±0.6) points and (1.6±0.5) points], ODIs (23.9%±4.5%, 21.6%±4.5% and 19.1%±3.8%), kyphotic Cobb angles of the fixed segments (12.2°±2.7°, 12.5°±2.6° and 12.8°±2.8°) and losses of the anterior vertebral body height (20.0%±3.4%, 20.2%±3.5% and 20.3%±3.5%) at 2 weeks after operation, 2 years after operation, and the last follow-up were significantly improved compared to the pre-operative values [(7.8±0.5) points, 79.7%±5.1%, 40.2°±6.2°, and 60.4%±14.2%, respectively] ( P<0.05). However, there were no significantly differences in the above values between 2 weeks after operation, 2 years after operation and the last follow-up ( P>0.05). Of the 2 patients with grade C, the ASIA grading at the last follow-up improved to grade D in one and to grade E in the other; of the 12 patients with grade D, the ASIA grading at the last follow-up improved to grade E in 11. The complications included 2 asymptomatic cases of bone cement leakage from the upper endplate of the affected vertebra, 1 asymptomatic case of bone cement leakage from the lower endplate of the affected vertebra, 1 asymptomatic case of bone cement leakage from the spinal canal, and 1 case of distant vertebral compression fracture. The last follow-up showed good bone graft fusion in all patients. Conclusion:In the treatment of stage Ⅲ Kümmell's disease with neurological symptoms, short-segment pedicle screw fixation after vertebroplasty augmentation using PMMA is a relatively minimally invasive, safe, and effective treatment, because it can alleviate back pain, improve neurological function and daily function, correct thoracolumbar kyphosis, restore vertebral height and reconstruct spinal stability without significant complications.

OBJECTIVE To establish a preparation method for Phellodendrine-11-O-β-D-glucuronide(M1),a metabolite of Phellodendrine(PHE),and to evaluate its regulatory effects on glycolipid metabolism disorder in insulin-resistant HepG2(IR-HepG2)cells.METHODS The preparation,extraction,separation,purification and identification of M1 were completed by in vitro incuba-tion of intestinal microsomes combined with liquid phase,mass spectrometry and NMR.With Metformin as positive control,IR-HepG2 cells were treated with low(25 μmol·L-1),medium(50 μmol·L-1)and high(100 μmol·L-1)doses of M1 for 24 h.Glucose con-sumption,glucose uptake,triglyceride(TG),total cholesterol(TC),high density lipoprotein cholesterol(HDL-C)and low density lipoprotein cholesterol(LDL-C)were quantified.The binding ability of M1 to the key targets INSR,IRS1,PI3K and AKT2 in the IRS1/PI3K/AKT pathway was explored through molecular docking technology.The effects of M1 on the mRNA and protein expression of these key targets in the IRS1/PI3K/AKT pathway were detected by qPCR and Western blot,respectively.RESULTS The purified product was confirmed by NMR as Phellodendrine-11-O-β-D-glucuronide(95%purity).Compared to the model group,all M1 do-ses significantly enhanced glucose consumption(P<0.01,P<0.001)and uptake(P<0.001)in IR-HepG2 cells,outperforming PHE(P<0.001).At medium and high doses,it could significantly reduce the content of TG and TC in cells(P<0.001),and its improve-ment effect at the TG level was better than that of PHE(P<0.01);while all concentrations decreased LDL-C(P<0.001)and in-creased HDL-C(P<0.01,P<0.001).Molecular docking revealed strong binding interactions between M1 and INSR,IRS1,PI3K,and AKT2.Compared with the model group,M1 administration group increased the expression of INSR,IRS1,PI3K,AKT2,and GLUT2 mRNA to varying degrees,downregulated the protein expression of p-IRS1/IRS1(P<0.001),and upregulated the protein ex-pression of PI3K,p-AKT/AKT,and p-GSK3β/GSK3β.CONCLUSION The established protocol enables high purity M1 prepara-tion.M1 alleviates IR by regulating IRS1/PI3K/AKT signaling pathway to improve the disorder of glycolipid metabolism.

Purpose To construct a nomogram model based on conventional ultrasound(US)and contrast-enhanced ultrasound(CEUS)features for predicting extrathyroidal extension(ETE)of papillary thyroid carcinoma,and to evaluate its diagnostic performance.Materials and Methods A retrospective analysis of clinical and ultrasound data from 715 papillary thyroid carcinoma patients in the First Medical Center of Chinese PLA General Hospital from January 2017 to December 2022 was conducted.The patients were divided into two groups based on the presence or absence of ETE.Univariate and Multivariate analyses was performed to identify independent risk factors associated with ETE.Three models were established:clinical,clinical+US and clinical+US+CEUS.The nomogram of the best model was constructed and validated.Results The model based on clinical+US+CEUS features performed the best,the area under the curve was 0.885.Multivariate analysis indicated that older age(OR=1.029,95%CI 1.011-1.047),higher body mass index(OR=1.108,95%CI 1.049-1.171),capsular contact<25%(OR=4.716,95%CI 2.079-10.701),capsular contact 25%-50%(OR=21.320,95%CI 8.240-55.160),capsular contact>50%(OR=24.045,95%CI 6.792-85.126),nodules adjacent to the lateral side(OR=4.265,95%CI 1.366-13.318),nodules adjacent to the medial side(OR=6.416,95%CI 2.067-19.920)and interrupted capsular enhancement(OR=6.044,95%CI 3.588-10.180)were independent risk factors for ETE(all P<0.05).Decision curve analysis and clinical impact curve indicated high net benefit and strong clinical utility of the model.Ten-fold cross-validation showed good model stability.Conclusion The nomogram model constructed based on US and CEUS features demonstrates good predictive performance and holds significant clinical utility.

Objective To investigate the relationship between ferroptosis-related genes[heme oxygenase-1(HO-1),solute carrier family 7 member 11(SLC7A11),and long-chain acyl-coenzyme A synthetase 4(ACSL4)]expression and cardiovascular events in patients with chronic renal failure(CRF),aiming to pro-vide clinical insights for risk assessment of cardiovascular complications.Methods A total of 124 CRF pa-tients(CRF group)admitted to the hospital from January 2020 to January 2023 and 124 healthy people(con-trol group)who underwent physical examination in the hospital during the same period were selected as the research objects.The levels of ferroptosis-related gene HO-1,SLC7A11 and ACSL4 were detected and com-pared between the two groups.CRF patients were followed up for 12 months after discharge,and they were di-vided into concurrent group(n=56)and non-concurrent group(n=66)according to the occurrence of cardio-vascular events.Spearman correlation analysis was used to investigate the correlation between iron death relat-ed genes HO-1,SLC7A11,ACSL4 and cardiovascular events in CRF patients.Univariate and multivariate Lo-gistic regression analysis were used to investigate the influencing factors of cardiovascular events in CRF pa-tients.Receiver operating characteristic(ROC)curve was used to analyze the predictive value of iron death re-lated genes HO-1,SLC7A11,and ACSL4 for cardiovascular events in CRF patients.Results Serum HO-1 and SLC7A11 levels in CRF group were lower than those in control group(P＜0.05),and the ACSL4 level was higher than that in control group(P＜0.05).The serum HO-1 and SLC7A11 levels in concurrent group were lower than those in non-concurrent group(all P＜0.05),and the serum ACSL4 level was higher than that in non-concurrent group(P＜0.05).Ferroptosis-related genes HO-1 and SLC7A11 were negatively correlated with cardiovascular events(r=-0.708,—0.721,P＜0.05),while ACSL4 was positively correlated with car-diovascular events(r=0.699,P＜0.05).High serum ACSL4 expression and high cTnT level were risk fac-tors for cardiovascular events in CRF patients(P＜0.05),and high hemoglobin level and high serum HO-1 and SLC7A11 expression were protective factors for cardiovascular events in CRF patients(P＜0.05).ROC curve analysis results showed that the area under the curve(AUC)of serum HO-1,SLC7A11,ACSL4,hemo-globin and cTnT alone for predicting cardiovascular events in CRF patients were 0.787,0.735,0.773,0.651 and 0.782,respectively.The AUC of the combined prediction of ferroptosis-related genes was 0.837,and the AUC of the combined application of five factors was 0.880.According to Delong's test,the AUC of both com-bined application models was significantly higher than those of individual application(P＜0.05).The nomo-gram model showed that all ferroptosis-related genes were positively expressed(HO-1＜1.5,SLC7A11＜1.15,ACSL4≥2.75),and the risk of developing concurrent cardiovascular events in CRF patients could reach over 75％.Conclusion The expression of serum HO-1 and SLC7A11 in CRF patients is decreased,and the ACSL4 expression is increased,which is closely related to cardiovascular events,and the combined detection of three indexes has high value in predicting cardiovascular events in CRF patients.