OBJECTIVE To form an expert consensus on the clinical application of parenteral direct thrombin inhibitors （DTIs） in patients during the perioperative period. METHODS Led by Sichuan Academy of Medical Sciences & Sichuan Provincial People’s Hospital （the Affiliated Hospital of UESTC）， a multidisciplinary working group was established. Through literature review and the Delphi method， clinical questions related to the rational perioperative use of parenteral DTIs were identified. A structured design was adopted using the “Population-Intervention-Comparison-Outcome” framework； systematic searches were conducted in CNKI， Medline， Embase and other databases. Relevant evidence from randomized controlled trials and cohort studies was included and synthesized. Evidence quality was assessed using the Grades of Recommendations Assessment，Development and Evaluation （GRADE） approach， and recommendations were formulated through multiple rounds of Delphi surveys and expert consensus meetings. RESULTS &CONCLUSIONS Seven recommendations （each with an expert consensus rate exceeding 90%） on the use of parenteral DTIs in perioperative patients were developed. These recommendations specify drug selection， dosing ranges， key monitoring points， and safety management strategies for parenteral DTIs in various scenarios， including the perioperative period of ventricular assist device implantation， the perioperative period of cardiac surgery， perioperative patients with lower-extremity atherosclerotic disease， the perioperative period of percutaneous coronary intervention in patients with acute coronary syndrome， the perioperative period of carotid artery stenting in patients with carotid stenosis， the perioperative period of patients with right heart thrombosis， and patients who develop related thrombosis and dysfunction after a central venous catheter insertion. In addition， warning and management pathways for perioperative bleeding and thrombotic events were proposed. This expert consensus， which is formulated based on the best available evidence， provides evidence-based guidance for standardized and individualized use of parenteral DTIs in perioperative period.

Objective To systematically review the studies on predictive models for delayed graft function (DGF) after kidney transplantation. Methods Databases including China Biology Medicine Database, China National Knowledge Infrastructure, Wanfang Database, VIP Database, PubMed, Web of Science and CINAHL were searched to collect studies on predictive models for DGF after kidney transplantation published from the establishment of each database to June 29, 2025. Two researchers screened the literatures according to the inclusion and exclusion criteria, evaluated the quality of the literatures using the prediction model risk of bias assessment tool (PROBAST), and conducted a meta-analysis of the common predictors of the models using R software. Results A total of 12 literatures were included, involving 14 predictive models with sample sizes ranging from 103 to 24 653 cases. Donor serum creatinine level, cold ischemia time, donor age and donor body mass index were the top four common predictors. All the predictive models were at high risk of bias and low in applicability. The results of meta-analysis showed that abnormal donor body mass index, advanced donor age, prolonged cold ischemia time and elevated donor serum creatinine level were all associated with an increased risk of DGF after transplantation (all P<0.01), but there was high heterogeneity among the studies. Fixed-effect model and random-effect model were used to re-pool the effect sizes separately. The results indicated that the fixed-effect model and random-effect model had good consistency in terms of donor body mass index, donor age and cold ischemia time, while there was a significant difference in the effect sizes of the two models for donor serum creatinine level. Conclusions The predictive models for DGF risk after kidney transplantation have good predictive performance, but the overall risk of bias is high. In the future, large-sample, multicenter and high-quality prospective clinical studies should be carried out to optimize the predictive models, so as to improve their predictive ability and clinical application value.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

ObjectiveDiscriminating atypical hepatocellular carcinoma (HCC) from other malignancies in liver nodules classified as Liver Imaging Reporting and Data System category M (LR-M) remains a significant diagnostic challenge on conventional ultrasound examination. The LR-M category, originally intended to capture non-HCC malignancies, paradoxically contains up to 63% of atypical HCCs that deviate from classic enhancement patterns, leading to potential misdiagnosis and suboptimal treatment planning. While deep learning has shown promise in HCC diagnosis, most existing models rely exclusively on single-modality ultrasound, overlooking the diagnostic benefits of integrating complementary information from multiple imaging sources. To address this gap, we propose a novel attention-weighted tri-modal ultrasound network (TUS-Net) that integrates contrast-enhanced ultrasound (CEUS), B-mode ultrasound (BUS), and time-intensity curves (TICs) to improve diagnostic accuracy for these clinically challenging lesions. MethodsOur framework incorporates a three-dimensional convolutional neural network (C3D) backbone to extract spatiotemporal features from CEUS videos, capturing dynamic vascular patterns critical for lesion characterization. To effectively fuse complementary modalities, we introduce a dual-channel feature fusion module (DCFFM) that adaptively combines features from CEUS and BUS through channel-wise attention mechanisms, allowing the model to dynamically weigh the contribution of each modality based on diagnostic relevance. Additionally, we propose a temporal intensity feature fusion module (TIFFM) that leverages quantitative hemodynamic information from TICs to guide the model’s attention toward diagnostically critical temporal phases, such as arterial wash-in and portal venous washout. The model is further enhanced by automated lesion localization using YOLOX and class activation mapping for interpretability, ensuring that predictions align with clinically meaningful imaging features. ResultsEvaluated on a tri-modal ultrasound dataset comprising 161 patients with pathologically confirmed LR-M nodules (131 atypical HCC and 30 non-HCC malignancies), our model achieved an accuracy of 86.83%, a sensitivity of 92.50%, a specificity of 75.50%, and an AUC of 89.32% in screening atypical HCC. Compared to single-modality baselines, TUS-Net demonstrated superior specificity, a clinically critical metric given the higher risk associated with misclassifying non-HCC malignancies. Ablation studies confirmed the contribution of each module, with the full model outperforming both standard C3D and 3D ResNet backbones integrated with attention mechanisms. A reader study involving junior and senior radiologists further validated the clinical utility of AI assistance, showing consistent improvements in specificity and inter-reader consistency, particularly for less experienced clinicians. ConclusionThese results surpass existing benchmark models and demonstrate the potential of our approach to enhance diagnostic precision in clinically specific cases. By intelligently fusing multi-modal ultrasound data with attention-guided mechanisms, TUS-Net offers a reliable and interpretable tool that holds promise for improving the non-invasive diagnosis of atypical HCC in challenging LR-M liver nodules.

OBJECTIVE To investigate the effect and potential mechanism of toosendanin in enhancing the antileukemic activity of cytosine arabinoside against acute myeloid leukemia （AML） based on the mammalian target of rapamycin complex 1 （mTORC1） signaling pathway.METHODS Female NSG immunodeficient mice were used to establish an AML model via a single γ-ray irradiation followed by a single tail-vein injection of a U937 cell suspension. The effects of cytosine arabinoside （2.5 mg/kg）， toosendanin （1.0 mg/kg）， and cytosine arabinoside+toosendanin （2.5 mg/kg+1.0 mg/kg） on body weight， survival time， peripheral blood routine indicators， histopathological morphology， and the expressions of autophagy-related proteins were explored. Using U937 cells as the subject， the effects of cytosine arabinoside （1 μmol/L）， toosendanin （160 nmol/L）， and cytosine arabinoside+toosendanin （1 μmol/L+160 nmol/L） on the expressions of autophagy-related proteins， mTORC1 signaling pathway-related proteins and mRNAs were investigated. The targeting relationship between toosendanin and the selective autophagy ligand 1 （also known as p62） was validated， and the Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analyses， as well as molecular docking， were performed. A p62 -knockdown U937 stable cell line was constructed， and the underlying mechanism of toosendanin-induced sensitization was verified.RESULTS Animal experiments confirmed that the combination of toosendanin and cytosine arabinoside significantly improved body weight， survival time and peripheral blood routine indicators in AML mice （ P ＜0.05）， alleviated pathological changes such as leukemic cell infiltration and focal necrosis in bone marrow， liver， and spleen tissues， and modulated the expressions of autophagy-related proteins. Cell experiments confirmed that toosendanin could reverse cytosine arabinoside-induced activation of the autophagy cascade （manifested by downregulation of the protein expressions of microtubule-associated protein 1 light chain 3B and Beclin-1， upregulation the protein expression of p62）， and might inhibit the expression of the downstream Unc-51-like autophagy activating kinase 1 （ULK1） complex （including ULK1， ULK2， autophagy-related protein 13， and FAK family interacting protein of 200 kDa） by activating the mTORC1 signaling pathway （ P ＜0.05）. The sensitizing effect of toosendanin was associated with the inhibition of autophagy and the regulation of the mTORC1 signaling pathway； it could stably bind to p62 via hydrophobic interactions. Mechanism verification experiments indicated that upon p62 knockdown， toosendanin was no longer able to activate the mTORC1 signaling pathway or inhibit autophagy.CONCLUSIONS Toosendanin may enhance chemo-sensitivity of AML cells to cytosine arabinoside by directly targeting the p62 protein， which subsequently activates the mTORC1 signaling pathway， and thereby suppresses cytosine arabinoside-induced protective autophagy.

Objective:To investigate the important clinical features and prognosis of febrile infection-related epilepsy syndrome(FIRES).Methods:A retrospective analysis was performed for the data of 15 children with FIRES who were hospitalized and treated in Peking University First Hospital from March 2022 to June 2024,including clinical features,treatment regimens,and prognosis,and follow-up was performed by telephone.Results:The median duration of status epilepticus was 15 days for all children.Of all 15 children,14(93.3%)were comorbid with disturbance of consciousness,8(53.3%)were comorbid with respiratory failure and underwent endotra-cheal incubation,and 13(86.7%)had been admitted to the intensive care unit.In the acute stage,7 children underwent the examination of various inflammatory factors in blood and cerebrospinal fluid,including interleukin(IL)-1β,IL-2,IL-4,IL-5,IL-6,IL-8,IL-10,and tumor necrosis factor-α,and all 7 children had significant increases in the levels of inflammatory factors in cerebrospinal fluid,which were significantly higher than the levels of inflammatory factors in serum.Of all 15 children,12(80%)had diffuse slow wave changes on electroencephalography,and migrating focal seizures were detected in 7 children(46.7%).Cranial magnetic resonance im-aging(MRI)manifestations in the acute stage included temporal and insular cortical edema(60%),abnormal white matter signal(33.3%),and claustrum sign(13.3%),and MRI features in the chronic stage included the deepening of cerebral sulci(75%)and ventricular dilatation(33.3%).The treatment in the acute stage in-cluded intravenous drip of gamma-globulin and high-dose methyl-prednisolone in 15 children(effective in 2 children),ketogenic diet in 4 children(effective in 1 child),tocilizumab in 5 children(effective in 3 children),and anakinra in 2 children(effective in 1 child).As of the last follow-up,the median duration of disease was 14.0 months(4-65 months)for all patients,and only 2 children achieved complete seizure control,while the remaining 13 children had refractory epilepsy.Cognitive impairment was observed in 93.3%of the children.Conclusion:FIRES often has acute and severe conditions,and first-line immunotherapies often have a poor therapeutic ef-fect.Tocilizumab and anakinra may be effective in some patients with seizures in the acute stage.

Objective To investigate the influence of auricular acupressure combined with repetitive transcranial magnetic stimulation(rTMS)on swallowing function and neurological function in stroke pa-tients.Methods A total of 120 patients with dysphagia after stroke admitted to the hospital from January 2022 to June 2023 were selected as the research objects and divided into the control group,the auricular acu-pressure group,the rTMS group and the combined group according to the random number table method,with 30 cases in each group.The control group received routine care,the auricular acupressure group received auric-ular acupressure treatment on the basis of the control group,while the rTMS group received rTMS treatment,and the combined group received both auricular acupressure and rTMS treatment.All interventions lasted 4 weeks.Swallowing function was assessed before and after treatment using Functional Oral Intake Scale(FOIS),modified Mann Assessment of Swallowing Ability(MASA),and Water Swallow Test.Swallowing-related quality of life was evaluated before and after treatment by the Swallowing Quality of Life(SWAL-QOL)questionnaire.Neurological impairment was assessed before and after treatment using National Institu-tes of Health Stroke Scale(NIHSS).Results After treatment,FOIS and MASA scores in the four groups were higher than those before treatment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).The overall effectiveness rate for swallowing function in the combination group was 93.33%,significantly higher than 60.00%in the control group,63.33%in the auricular acupressure group,and 73.33%in the rTMS group(P<0.05),while there was no significant difference among the other three groups(P>0.05).After treatment,SWAL-QOL scores in the four groups were higher than that before treat-ment,with the auricular acupressure group and the rTMS group showing higher scores than the control group,and the combination group significantly higher than the other three groups(P<0.05).After treat-ment,NIHSS scores in the four groups were lower than that before treatment,and the combination group had significantly lower scores compared to the other three groups(P<0.05).Conclusion Auricular acupressure combined with rTMS could improve swallowing function and quality of life,and promote neurological function recovery in stroke patients.

Molecularly imprinted polymers(MIPs)of colchicine(COL)were prepared by precipitation polymerization with COL as template,methacrylic acid(MAA)as monomer,ethylene glycol dimethacrylate(EGDMA)as crosslinking agent,azobisisobutyronitrile(AIBN)as initiator and chloroform as porogen.The basic structure of the prepared MIPs was characterized by scanning electron microscopy(SEM),transmission electron microscopy(TEM)and Fourier transform infrared(FT-IR)spectrometry,and the adsorption properties of MIPs were evaluated by kinetic adsorption,isothermal adsorption and selective adsorption experiments.The results indicated that the prepared MIPs had uniform particles size,with a maximum adsorption capacity of 62.61 mg/g for COL and an imprinting factor of 3.74,and was suitable for sample pretreatment in determination of COL blood concentration,enabling the enrichment and separation of trace or even ultra-trace target components,thereby improving analytical capabilities.

Forensic medicine has been designated as a first-level discipline,presenting new opportunities and challenges for the development of forensic medicine.Since the 1980s,the establishment of foren-sic medicine discipline and the cultivation of high-level forensic talents have become hot topics in the development of forensic medicine in China.Since the 13th Five-Year Plan,the forensic team of Shanxi Medical University has been aiming at the forefront,proposing the development goals of"Five First-class"and the discipline development path"Six Major Achievements".It has selected benchmark disci-plines,identified gaps in disciplinary development,unified thoughts,formulated completion timelines,concentrated superior resources,assigned tasks to individuals,and created an"Organized Fill-in-the-Blank Format"forensic medicine discipline construction model with the characteristics of the new era.The construction model of forensic medicine has achieved good results in the goals,discipline frame-work,scientific research,talent cultivation,discipline team and platform construction,forming a rela-tively complete discipline construction and management system,and accumulating valuable experience for the construction of first-level discipline and high-level talent cultivation of forensic medicine.

Objective:To investigate the association of monocyte-to-high-density lipoprotein cholesterol ratio (MHR) with the severity of white matter hyperintensities (WMHs) and its spatial distribution.Methods:Patients admitted to the Department of Neurology, Jiangning Hospital Affiliated to Nanjing Medical University due to various chronic diseases or physical examinations between January 2023 and December 2024 were included retrospectively. Past medical history, clinical and imaging data were collected. The Fazekas scale was used to assess the severity of WMHs. According to the scoring results of periventricular WMHs (PVWMHs) and deep WMHs (DWMHs), WMHs were divided into no/mild group (0-1 points) and moderate/severe group (2-3 points). Multivariate logistic regression analysis was used to determine independent correlation factors for the severity of WMHs, PVWMHs, and DWMHs. Results:A total of 357 patients were included, aged 65.42±9.95 years, with 198 males (55.5%). There were 193 patients (54.1%) in the no/mild group and 164 (45.9%) in the moderate/severe group. Univariate analysis showed that the proportion of patients with hypertension, diabetes, history of cerebral infarction and cerebral hemorrhage, carotid plaque, and age, serum creatinine, monocyte count and MHR in the moderate/severe group were significantly higher than those in the no/mild group (all P<0.05). Multivariate logistic regression analysis showed a significant positive correlation between MHR and the severity of WMHs (odds ratio 3.138, 95% confidence interval 1.042-9.451; P=0.042). Further analysis showed a significant positive correlation between MHR and PVWMHs (odds ratio 3.384, 95% confidence interval 1.111-10.305; P=0.032), but no independent correlation with DWMHs. In addition, age and hypertension, diabetes, history of cerebral infarction and cerebral hemorrhage were significantly positively correlated with the severity of WMHs, PVWMHs and DWMHs. Conclusion:MHR is correlated with the severity of WMHs, and higher MHR is significantly associated with PVWMHs, but not with DWMHs.