ObjectiveTo investigate the independent predictive factors for 90-day mortality in patients with acute-on-chronic liver failure （ACLF）， to establish a risk predictive model， and to assess its predictive efficacy in comparison with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ. MethodsA retrospective analysis was performed for the clinical data of 394 patients with ACLF who were admitted to The Affiliated Hospital of Inner Mongolia Medical University and Hohhot Second Hospital from July 2018 to July 2024， and general information and laboratory markers on admission were collected from all patients. The independent-samples t test or the Mann-Whitney U test was used for comparison of quantitative data between two groups， and the chi-square test or the adjusted chi-square test was used for comparison of qualitative data between two groups. The LASSO regression analysis was used to identify related variables， and the multivariate logistic regression analysis was used to establish a predictive model and generate a nomogram. The receiver operating characteristic （ROC） curve， the area under the ROC curve （AUC）， calibration curve， and clinical decision curve were used to assess the performance of the model. ResultsA total of 394 patients with ACLF were included in this study， with 136 patients in the training set， 58 in the internal validation set， and 200 in the external validation set. The cohort had a mean age of 52.9±11.7 years， among whom male patients accounted for 72.84% （287/394）， the patients with HBV infection accounted for 22.33% （88/394）， the patients with alcohol-related causes accounted for 45.94% （181/394）， and the patients with other causes （including drug-induced and autoimmune diseases） accounted for 31.73% （125/394）. The overall 90-day mortality rate was 27.41% （108/394）. The multivariate logistic regression analysis showed that diabetes （odds ratio ［OR］= 5.831， 95% confidence interval ［CI］： 1.587 — 21.424， P=0.008）， cystatin C （Cys-C） （OR=2.984， 95%CI： 1.501 — 5.933， P=0.002）， and spontaneous peritonitis （SBP） （OR=5.692， 95%CI： 2.150 — 15.071， P<0.001） were independent risk factors， and a nomogram was generated based on these factors. This model had an AUC of 0.836 in the training set， 0.881 in the internal validation set， and 0.878 in the external validation set， showing a good discriminatory ability. The calibration curve showed a good degree of fitting， with a relatively high net clinical benefit. The subgroup analysis based on etiology showed that the model had an AUC of 0.850 in the patients with HBV infection， 0.858 in the patients with alcohol-induced ACLF， and 0.908 in the patients with other etiologies， indicating that the model had a good discriminatory ability across the populations with different etiologies. Compared with traditional scores， the model （AUC=0.836） had a significantly better predictive value than MELD （AUC=0.619， Z=3.197， P=0.001）， MELD-Na （AUC=0.651， Z=2.998， P=0.003）， MELD 3.0 （AUC=0.601， Z=3.682， P<0.001）， and COSSH-ACLF Ⅱ （AUC=0.719， Z=2.396， P=0.017） alone. ConclusionDiabetes， SBP， and Cys-C are independent risk factors for 90-day mortality in patients with ACLF. Compared with MELD， MELD-Na， MELD 3.0， and COSSH-ACLF Ⅱ scores， this model has a higher predictive value for 90-day prognosis in patients with ACLF and is suitable for patients with ACLF caused by various etiologies.

ObjectiveTo investigate the preventive effect and mechanism of Dendrobium officinale （DO） on non-alcoholic fatty liver disease （NAFLD） by network pharmacology and animal experiments. MethodsDO components in blood after administration were identified and analyzed using ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry （UPLC-QE-HF-MS/MS）. Network pharmacology and molecular docking methods were employed to obtain active ingredients and potential targets of DO for NAFLD control. High-fat feeds were used to replicate the NAFLD rat model. Biochemical kits were used for detecting the expression levels of blood lipids， hepatic lipids， and liver functions of rats. Hematoxylin-eosin （HE） staining and oil red O staining were employed to observe pathological changes in rat liver， and real-time fluorescence quantitative PCR （Real-time PCR） assay was performed to validate potential targets obtained from the network pharmacology analysis. ResultsA total of 13 DO components were identified in blood， including berberine， dihydrosanguinarine， and oxypeucedanin. A total of 14 potential targets were screened through network pharmacology， including Forkhead box protein O1 （FoxO1）， epidermal growth factor receptor （EGFR）， and insulin-like growth factor 1 （IGF-1R）， involving pathways such as the advanced glycation end product （AGE）/receptor for AGE （RAGE） signaling pathway， blood lipids and atherosclerosis， insulin resistance， and FoxO signaling. The results of animal experiments showed that the NAFLD rat model was successfully replicated. After the preventive treatment with DO for NAFLD rats， the indexes of blood lipids， hepatic lipids， and liver function were normalized； lipid deposition and lesions in the liver were significantly improved； the expression level of FoxO1 mRNA in the liver was significantly reduced （P<0.05）， and the mRNA expression levels of phosphatidylinositide 3-kinases （PI3K）， protein kinase B （Akt）， EGFR， and IGF-1R were significantly increased （P<0.05）. ConclusionDO has a preventive effect on NAFLD rats， and the mechanism of action may be related to the modulation of IGF1R and EGFR targets and activation of the PI3K/Akt/FoxO1 signaling pathway.

Investigator initiated trial （IIT） represents a primary format for clinical research in traditional Chinese medicine （TCM）. As key implementation sites for TCM-based IIT targeting malignant tumors， western medicine institutions often face unique challenges in conducting such studies， which limit their feasibility and standardization. This paper reviews the registration status of TCM-based IIT for malignancies conducted in western medical institutions and analyzes key difficulties， including complex project initiation and management processes， limited TCM knowledge and skills among western medicine physicians， and relatively low patient acceptance of TCM. From a practical perspective， the study proposes several optimization strategies. These include improving the review and management mechanisms of TCM-related IIT within western medical institutions， establishing multidisciplinary clinical research teams that integrate TCM and western medicine， and enhancing investigators' training in TCM theory and clinical skills. Additionally， the study suggests standardizing IIT operational procedures， objectifying the collection of TCM diagnostic information， refining subject recruitment methods， and increasing TCM involvement in patient follow-up and management. These investigator-oriented， TCM-featured， and operable strategies aim to promote the high-quality development of TCM-based IIT in western medicine institutions and enhance the clinical application of TCM.

Objective:To investigate the value of coronary CTA (CCTA)-based traditional features and radiomics of plaque in the identification of culprit lesions that caused acute myocardial infarction (AMI).Methods:This was a retrospective multicenter study. From July 2016 to November 2023, a total of 344 patients from the Affiliated Hospital of Qingdao University (training cohort, n=184), Shandong Provincial Hospital Affiliated to Shandong First Medical University (validation cohort, n=88) and Qilu Hospital of Shandong University (test cohort, n=72) who received percutaneous coronary intervention (PCI) due to AMI and underwent CCTA within 48 hours of AMI were enrolled. The culprit plaques and non-culprit plaques were identified using a combination of electrocardiogram, CCTA, and angiographic findings. The vessel, plaque location, plaque type, Coronary Artery Disease-Reporting and Data System (CAD-RADS) score, high-risk plaque characteristics, plaque length, plaque volume, and burden were analyzed, and 1 904 radiomics features were extracted for each plaque. The traditional imaging model, the radiomics model, and the combined model were established by using multivariate Logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of each model in identifying culprit lesions. The DeLong test was used for the comparison of AUC between every two models. The net reclassification index (NRI) was used to evaluate the incremental value of the combined model to the traditional imaging model and the radiomics model. The decision curve analysis (DCA) was used to assess the clinical net benefit of these models. A correlation heatmap was used to evaluate the correlation between the radiomics score and traditional CCTA factors. The interpretable analysis of the decision process of the combined model was performed by the Shapley Additive exPlanations (SHAP). Results:In the validation cohort and the test cohort, the AUC of the traditional imaging model developed by the vessel, plaque type, positive remodeling and CAD-RADS score was 0.898 (95% CI 0.869-0.922) and 0.881 (95% CI 0.848-0.910), respectively. The radiomics model developed by six radiomics features was 0.863 (95% CI 0.831-0.891) and 0.863 (95% CI 0.827-0.864), respectively. The AUC of the combined model was 0.930 (95% CI 0.905-0.950)and 0.919 (95% CI 0.889-0.942), respectively. In the validation cohort and the test cohort, the AUC of the combined model was higher than that of the traditional imaging model ( Z=4.013, 4.272, P<0.001) and that of the radiomics model ( Z=4.819, 3.784, P<0.001), respectively. In the validation cohort, the combined model yielded an NRI of 20.43% (95% CI 10.43%-30.44%, P<0.001) and 20.21% (95% CI 9.62%-30.80%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. In the test cohort, the combined model yielded an NRI of 28.05% (95% CI 16.72%-39.38%, P<0.001) and 23.57% (95% CI 13.58%-33.56%, P<0.001) for identifying culprit lesions compared with the traditional imaging model and the radiomics model, respectively. DCA showed the combined model had the highest clinical net benefit. The correlation heatmap showed the radiomics score was not correlated or only weakly correlated with traditional CCTA factors. SHAP indicated the radiomics and CAD-RADS score contributed significantly to the model. Conclusion:The CCTA-based traditional features and radiomics of plaque have favorable performance for the identification of culprit plaques in patients with AMI.

This paper introduces the academic characteristics of Professor ZHANG Ren in treatment with acupuncture for refractory eye diseases in modern times, guided by "homotherapy for heteropathy" (same therapy for different diseases sharing the same pathogenesis). The refractory eye diseases in modern times include a variety of conditions such as glaucoma, macular degeneration, diabetic retinopathy, high myopia and its complications, dry eye, cortical visual impairment and genetic eye diseases. The same therapy is used because these diseases share the similar location and pathogenesis. Professor ZHANG optimizes the methods of acupoint selection and provides the comprehensive prescriptions, "basic prescription, prescription based on disease differentiation, and supplementary prescription". A variety of acupuncture manipulation techniques are operated in clinical practice, such as compound needling methods, penetration needling, manipulations for promoting qi movement and conducting qi flow. "Early, regular and persistent" treatment is the common requirement with "the same acupoints, the same prescription and the same acupuncture method" as well as at "the same time". It is also proposed that the treatment should be provided flexibly according to the different symptoms, "identifying the differences within similarities".
Acupuncture Therapy/methods* ; Humans ; Eye Diseases/history* ; Acupuncture Points ; History, 20th Century ; China ; History, 21st Century

Objective To develop an endothelialized microfluidic chip model that simulates the spatial architecture and bioactivity of retinal vasculature,enabling thrombosis modeling and thrombolytic efficacy validation.Methods A tri-level microvascular network chip(300/200/100 μm diameters)with bifurcated architecture was fabricated using soft lithography.Human retinal microvascular endothelial cells(HRMECs)were perfused into channels,with endothelial coverage monitored via phase-contrast microscopy and F-actin staining.Cellular bioactivity was assessed using mitochondrial membrane potential probes(5,5,6,6-Tetrachloro-1,1,3,3-tetraethylbenzimidazolylcarbocyanine iodide,JC-1)and nitric oxide(NO)quantification.Fresh blood samples from 10 healthy donors(Yongchuan Hospital Affiliated to Chongqing Medical University,March to June 2024)were perfused with digital injection pump to mimic blood flow in human body into 3 experimental groups:normal whole blood,and TNF-α-activated endothelium+normal blood,TNF-α-activated endothelium+TNF-α-treated blood.Three inlet blood flow rates of 37.8、11.1 and 3.5 μL/min were set in each group.Two experimental groups,normal saline and recombinant human tissue-type plasminogen activator(rtPA),were established using the endothelialized microfluidic thrombosis model to validate thrombolytic efficacy.Endothelial functional impacts were assessed through integrated DAPI/NO staining and thrombosis model analysis across 3 intervention phases:pre-thrombosis,post-thrombosis,and post-thrombolysis.Results A tri-level microfluidic vascular model(300/200/100 μm diameters)was successfully constructed.In 72 h after endothelial cell perfusion,complete channel coverage was achieved,with phase-contrast microscopy and F-actin staining confirming confluent cellular alignment.JC-1/NO assays validated preserved endothelial bioactivity.Compared with the whole blood group,both TNF-α-activated endothelium+normal blood and TNF-α-activated endothelium+TNF-α-treated blood groups exhibited significantly increased thrombus occupancy rates at identical flow rates(all P<0.001).Notably,TNF-α-activated endothelium+TNF-α-treated blood group demonstrated the highest thrombus ratio at 3.5 μL/min(P<0.001).The rtPA group showed superior thrombolytic efficacy versus saline(P<0.001).Endothelial monolayer integrity was maintained across intervention phases,with thrombosis triggering significant NO elevation(P<0.001).Conclusion Our retinal vasculature-mimetic microfluidic model enables precise thrombosis modeling and drug evaluation,providing new methodology for studying retinal vascular occlusive diseases.

Objective:The aim of this study was to assess the frailty status of patients with heart failure undergoing CRT-D and then explore the predictive value of frailty for all-cause mortality and heart failure-related readmissions in these patients.Methods:We retrospectively included 374 patients with chronic heart failure who underwent CRT-D treatment at the First Affiliated Hospital of Xinjiang Medical University between June 2020 and June 2024. Based on the Tilburg Debilitation Assessment Scale, 175 patients (46.8%) were classified as frail while 199 (53.2%) were classified as non-frail. The baseline data between the two groups was compared using Cox regression analysis and Kaplan-Meier curves were used for survival analysis. P-values of <0.05 indicated statistically significant differences. Results:A total of 374 patients aged 25-93 (68±11) years were enrolled in this study, 101 (27.0%) of which were female. Among these, 175 (46.8%) were categorized as frail, and 199 (53.2%) were classified as non-frail. Over a median follow-up time of 23 (5, 45) months, 35 (9.4%) patients experienced all-cause mortality, with 30 (17.1%) deaths occurring in the frail group and 5 (2.5%) in the non-frail group; meanwhile, readmission events due to heart failure occurred in a total of 174 (46.5%) patients, including 122 (70.1%) in the frail group, and 52 (29.9%) in the non-frail group. Cox analysis showed that frailty was a significant determinant of all-cause mortality ( HR=21.25, 95% CI 3.99-113.30, P<0.001) and readmission among heart failure patients receiving CRT-D ( HR=2.52, 95% CI 1.73-3.68, P<0.001). Log-rank tests showed that the survival rate of patients in the frail group was significantly lower than that of patients in the non-frail group ( HR=7.22, 95% CI 2.80-18.60, P<0.001) and the risk of readmission events due to heart failure was significantly higher among patients in the frail group than among those in the non-frail group ( HR=2.75, 95% CI 1.98-3.81, P<0.001). Conclusions:Frailty is an independent predictor of postoperative all-cause mortality and the occurrence of heart failure-related readmissions in patients with heart failure treated receiving CRT-D.

This study investigates the expression pattern and functional significance of EF-hand domain-containing protein 2 (EFHD2) in hepatocellular carcinoma (HCC), with particular focus on its regulatory effects on tumor proliferation, migration, and invasion. Cellular experimental study was completed from June 2024 to January 2025 in the Basic Laboratory of the General Hospital of Southern Theater Command. TCGA database to determine EFHD2 expression and its clinicopathological correlations. GSCA database to assess methylation patterns and immune infiltration. Model of transient overexpression and knockdown of EFHD2 was constructed in hepatocellular carcinoma cells Hep3B, then RT-qPCR and Western blot were applied to verify the transfection efficiency. CCK-8 and colony formation assays for proliferation assessment, Transwell chambers for migration/invasion quantification. Protein-protein interaction networks were constructed via STRING, followed by GO/KEGG enrichment analysis. Statistical analysis was performed using the two independent samples t-test. The results showed that EFHD2 demonstrated significant upregulation in HCC tissues versus normal controls ( P<0.05). Elevated EFHD2 expression correlated with advanced clinical stage ( P<0.05) and poor differentiation ( P<0.05). In the CCK-8 assay, the EFHD2 overexpression group demonstrated significantly higher cell viability than the control group, as evidenced by 450 nm relative absorbance values on Day 1 (0.529±0.019 vs. 0.515±0.016, F=0.041, P=0.320), Day 2 (1.356±0.019 vs. 1.094±0.042, F=3.833, P<0.001), Day 3 (2.817±0.049 vs. 2.143±0.124, F=3.833, P<0.001), and Day 4 (3.848±0.015 vs. 3.430±0.021, F=0.469, P<0.001). The EFHD2 knockdown group showed reduced cell viability compared to controls: Day 1 (0.541±0.020 vs. 0.552±0.015, F=0.098, P=0.423), Day 2 (1.154±0.009 vs. 1.326±0.029, F=2.485, P<0.001), Day 3 (2.453±0.041 vs. 2.653±0.031, F=0.479, P<0.001), and Day 4 (3.685±0.038 vs. 3.836±0.021, F=6.804, P<0.001). In colony formation assays, the overexpression group displayed a significant increase in colony numbers (254.667±23.861 vs. 186.000±16.703, F=0.865, P=0.015), whereas the knockdown group exhibited decreased colony formation (229.000±24.637 vs. 306.667±36.501, F=0.988, P=0.038). In Transwell assays, the EFHD2 overexpression group revealed enhanced migratory capacity [ (605.000±72.670) cells vs. (472.667±28.095) cells, F=2.462, P=0.042] and invasive potential [(767.333±21.221) cells vs. (414.333±16.623) cells, F=0.331, P<0.001]. The knockdown group showed attenuated migration [(311.000±71.084) cells vs. (479.667±50.846) cells, F=0.718, P=0.029] and invasion [(247.667±48.263) cells vs. (345.667±32.130) cells, F=0.727, P=0.043] compared to controls. The network of EFHD2-interacting proteins was further constructed by the STRING database, and the GO and KEGG analysis were used to perform bioinformatics analysis reveal that EFHD2 is mainly involved in actin cytoskeleton regulation. In conclusion, EFHD2 is highly expressed in HCC and is involved in the process of proliferation, migration and invasion of HCC.

Objective Based on the characteristics of common diseases in primary care,it explores the achievabili-ty of internet first diagnosis from the perspective of clinical doctors in large tertiary hospitals,providing a reference for promoting the policy of internet first diagnosis.Methods Stratified sampling was used to select about 10 attending physicians or above from each specialty.A total of 164 doctors were surveyed on the achievability of specific diseases.Chi-square test or Fisher's exact test were conducted to identify the influencing factors of the achievabili-ty of each disease.Results Among the common diseases in primary care,13 diseases(25.49％)had a low degree of achievability for diagnosis,18 diseases(35.29％)had a medium degree,and 20 diseases(39.22％)had a high de-gree.For treatment,19 diseases(37.25％)had a low degree of achievability,22 diseases(43.14％)had a medium degree,and 10 diseases(19.61％)had a high degree.The emergency level,severity,diagnostic complexity,ex-pected treatment outcome,information provided,and diagnostic technology matching degree all had significant impacts on the achievability of Internet first diagnosis(P＜0.05).Conclusion The feasibility of the first diagnosis of common diseases through online medical services varies greatly.It is suggested that a differentiated online first diagnosis ser-vice system for common diseases be established based on the differences in the feasibility of the first diagnosis through the Internet,and the feasibility of the first diagnosis through the Internet be enhanced by developing smart medical technologies.