Objective To investigate the influencing factors of antibiotic-associated diarrhea(AAD)following congenital heart disease(CHD)surgery in pediatric patients,develop a nomogram-based predictive model,and validate its efficacy.Methods A retrospective analysis was conducted on the clinical data of pediatric patients who underwent CHD surgery in the Pediatric Intensive Care Unit(PICU)of a tertiary hospital in Guang-dong Province from July 2022 to July 2024.Patients were categorized into an AAD group and a non-AAD group.Univariate and multivariate logistic regression analyses were performed to identify risk factors for AAD occurrence following CHD surgery.A risk prediction model was developed,and a nomogram was constructed.The predictive performance of the model was evaluated using the Receiver Operating Characteristic(ROC)curve to calculate the area under the curve(AUC),the Hosmer-Lemeshow goodness-of-fit test,calibration curves,and clinical decision curve analysis.External validation of the model was conducted using data from patients in the Surgical Intensive Care Unit(SICU).Results The incidence of AAD following CHD surgery was 48.52%(229 out of 472 cases).Risk factors for AAD included the combined use of antibiotics,mechanical ventilation,elevated C-reactive protein levels,prolonged surgical duration,and extended antibiotic usage time(all with OR>1,P<0.05).Conversely,probiotic administration was identified as a protective factor(OR<1,P<0.05).The predictive model demon-strated excellent discrimination,as evidenced by the ROC curve areas:0.922(95%CI:0.894～0.951)in the modeling group,0.886(95%CI:0.838～0.915)in the internal validation group,and 0.862(95%CI:0.784～0.941)in the external validation group.Additionally,the model exhibited satisfactory calibration,as indicated by the Hosmer-Lemeshow test results:χ2=7.96,P=0.538 in the modeling group;χ2=4.24,P=0.895 in the inter-nal validation group;and χ2=9.923,P=0.270 in the external validation group.Furthermore,the model provided significant clinical utility.Conclusions Combined antibiotic use,duration of antibiotic therapy,mechanical ventilation,surgical duration,C-reactive protein(CRP)levels,and probiotic administration are key factors influ-encing the occurrence of AAD.The risk prediction model developed based on these variables demonstrates robust predictive performance and can serve as a valuable reference for the development and implementation of preventive and therapeutic strategies in clinical practice.

Objective To explore the value of radiomics model and deep learning model based on unenhanced MRI in predicting microvascular invasion(MVI)of hepatocellular carcinoma(HCC)preoperatively.Methods A total of 189 patients with postopera-tive pathologically confirmed HCC from two centers were retrospectively selected,of which 119 cases from Zhujiang Hospital of Southern Medical University were used as the training set[60 cases with negative MVI,59 cases with positive MVI],and 70 cases from Shenzhen People's Hospital were used as the external test set[38 cases with negative MVI and 32 cases with positive MVI].Clinical indicators were analyzed by univariate and multivariate logistic regression analysis and the independent predictors of positive MVI were screened.Deep transfer learning(DTL)and traditional radiomics methods were used to construct radiomics model and deep learning model based on unenhanced MRI.The predictive performances of each model were compared using receiver operating charac-teristic(ROC)curves and area under the curve(AUC).DeLong test was employed to compare statistical differences in performance of the models.Results Alkaline phosphatase(ALP)and prothrombin time(PT)were independent predictors of positive MVI(P<0.05).The deep learning model based on T2WI had the best predictive efficacy,with AUC of 0.779[95%confidence interval(CI)0.696-0.863]and 0.741(95%CI 0.620-0.861)in the training set and external test set,respectively,and there were statistically significant differences compared with the radiomics model and the clinical model based on T1WI(P<0.05).Conclusion Deep learning model based on T2WI has a certain application value in preoperative noninvasive prediction of MVI status in HCC patients.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Acute symptomatic osteoporotic thoracolumbar compression fracture (ASOTLF) can lead to chronic low back pain, kyphosis deformity, pulmonary dysfunction, loss of mobility, and even life-threatening complications. Vertebral augmentation is currently the mainstream treatment method for this condition. In 2019, the Editorial Board of Chinese Journal of Trauma and the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association collaboratively led the development of Clinical guideline for vertebral augmentation for acute symptomatic osteoporotic thoracolumbar compression fractures. Six years later, with advances in clinical diagnosis and treatment techniques as well as accumulating evidence in related fields, the 2019 guideline requires updating. To this end, the Spinal Trauma Group of Orthopedic Surgeons Branch of Chinese Medical Doctor Association, the Spinal Health Professional Committee of China Human Health Science and Technology Promotion Association, and the Minimally Invasive Orthopedics Professional Committee of Shaanxi Medical Doctor Association have organized experts in the field to develop the Clinical guideline for vertebral augmentation of acute symptomatic osteoporotic thoracolumbar compression fractures ( version 2025) , based on the latest evidence-based medical researches. This guideline incorporates 3 recommendations retained from the 2019 version with updated strength of evidence, along with 12 new recommendations. It provides recommendations from six aspects of diagnosis, pain management, treatment option selection, prevention of postoperative complications, anti-osteoporosis therapy, and postoperative rehabilitation, aiming to provide a reference for standard treatment of vertebral augmentation for ASOTLF in hospitals at all levels.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective To investigate the role of the neutrophil-to-lymphocyte ratio(NLR)in predicting the in-hospital mortality risk of patients with acute aortic dissection(AAD)in multicenter hospitals.Methods A multicenter retrospective cohort study was conducted.Clinical data were collected from 2642 AAD patients who were hospitalized in five teaching hospitals:Tongji Hospital Affiliated to Tongji Medical College of Huazhong University of Science and Technology,Henan Provincial People's Hospital,Fuwai Central China Cardiovascular Hospital,the Third Affiliated Hospital of Xinxiang Medical University,and the Second Affiliated Hospital of Chongqing Medical University between August 2010 and December 2021.According to the quartiles of serum NLRlevels,the patients were divided into four groups:first quartile(Q1,n=660),second quartile(Q2,n=661),third quartile(Q3,n=661),and fourth quartile(Q4,n=660).The clinical characteristics and biochemical indicators of each group were compared.Partial correlation analysis was used to assess the relationship between NLR and cardiovascular parameters.Restricted cubic splines,Kaplan-Meier survival analysis,and Cox regression models were employed to evaluate the association between NLR levels and in-hospital mortality risk in AAD patients.Results The median age of all patients was 54[interquartile range(IQR):46-63]years,including 2096 males and 546 females.Compared with Q1-Q3 groups,patients inQ4group had a lower incidence of smoking history and diabetes history,and were more likely to have DeBakey type Ⅰ AAD(P＜0.05).Additionally,the levels of aspartate aminotransferase,high-density lipoprotein cholesterol,creatinine,and D-dimer in Q4 group were higher,while the levels of triglycerides and C-reactive protein(CRP)were lower(P＜0.01).The results of partial correlation analysis showed that the plasma NLR level was positively correlated with D-dimer(r=0.43,P＜0.01)and creatinine(r=0.16,P＜0.01).The restricted cubic spline function in the Cox model revealed a significant non-linear relationship between the plasma NLR level and clinical outcomes in AAD patients(P＜0.01).Kaplan-Meier survival analysis indicated that patients in Q4 group had the highest in-hospital mortality rate compared with Q1-Q3 groups(P＜0.0001).Furthermore,multivariate Cox regression analysis demonstrated that compared with Q1 group,the hazard ratio(HR)of NLR in Q4 group was 1.77(95％CI 1.33-2.37,P＜0.001),which was an independent risk factor for the primary endpoint events.Conclusion A higher plasma NLR level is significantly associated with the occurrence of cardiovascular events in AAD patients,and this association remains significant even after adjusting for potential confounding factors such as the multicenter visiting hospitals.

With the rapid development of deep learning(DL)technology,its potential applications in the medical field have become increasingly prominent.As a refractory disease,osteonecrosis of the femoral head(ONFH)has certain limitations in traditional diagnostic and therapeutic approaches.The application of DL technology is expected to overcome these limitations and improve diagnosis and treatment outcomes.At present,the applications of DL models-including enhancing image clarity,improving diagnostic accuracy and efficiency,conducting prognostic evaluations,optimizing preoperative planning,assisting intraoperative imaging,and customizing personalized treatment plans-have fully demonstrated their tremendous potential in the diagnosis and treatment of ONFH.This review summarizes the current application status of DL in ONFH diagnosis and treatment,aiming to provide references and insights for future related research.

Insulin is an important protein hormone that participates in multiple metabolic pathways.Biosynthetic insulin has been widely used in the treatment of type 1 and type 2 diabetes.Currently,the number of reported cases of insulin overdose both at home and abroad is gradually increasing,and insulin homicide is no longer a means of"committing murder without leaving a trace".At present,there are no systematic protocols for the identification of insulin overdose in the field of forensic medi-cine in China.This article introduces the causes,toxicological characteristics,forensic examination,labo-ratory testing methods and indicator reference of insulin overdose.Based on the identification practice and research results and referring to relevant studies on insulin overdose at home and abroad,this pa-per aims to provide recommendations and references for the formulation of forensic identification guide-lines for insulin overdose cases.

ObjectiveTo investigate the effects of three traditional Chinese medicine formulas for nourishing kidney Yin on the occurrence of breast cancer， including Zuoguiwan（ZGW）， Liuwei Dihuangwan（LWDHW） and Erzhiwan（EZW）， and to explore their preventive mechanisms from the phagocytic function of macrophages. MethodsTen-month-old post-breeding female mice were randomly divided into the blank group， soy isoflavone group（0.13 g·kg^-1·d^-1， mixed with feed）， ZGW group（2.34 g·kg^-1·d^-1）， LWDHW group（0.56 g·kg^-1·d^-1）， and EZW group（4.68 g·kg^-1·d^-1）. The mice were palpated every 3 d until the age of 18 months， and those with detected lumps were confirmed for tumor development through hematoxylin-eosin（HE） staining， and the incidence of breast cancer in mice was calculated. A total of 40 SPF-grade female SD rats were randomly divided into the blank serum group（physiological saline）， ZGW drug-containing serum group（16.20 g·kg^-1·d^-1of ZGW）， LWDHW drug-containing serum group（3.89 g·kg^-1·d^-1 of LWDHW） and EZW drug-containing serum group（32.40 g·kg^-1·d^-1 of EZW）， each group was orally administered 3 times a day for 5 consecutive days. On the 5^th day， blood was collected from the abdominal aorta 1 h after the last gavage to prepare drug-containing serum. The effect of drug-containing serum with different concentrations on the viability of RAW264.7 cells was assessed by cell counting kit-8（CCK-8）. Taking 20% of drug-containing serum concentration as the research object， its effect on the expression levels of major histocompatibility complex-Ⅱ（MHC-Ⅱ）， CD80 and CD86 on the surface of RAW264.7 cells was detected by immunofluorescence（IF）， the phagocytic function of RAW264.7 cells was examined by flow cytometry， and the levels of interleukin-6（IL-6） and nitric oxide（NO） in RAW264.7 cells in the conditioned medium（CM） co culture system of 4T1 cells were detected by enzyme-linked immunosorbent assay（ELISA） and Griess assay. ResultsAfter prophylactic administration， the tumor incidence rates in the soy isoflavone group（4%）， ZGW group（4%）， LWDHW group（4%）， and EZW group（6%） were lower than that in the blank group（8%）. Compared with the blank serum group， the drug-containing serum of the three nourishing kidney Yin formulas could enhance the expression levels of MHC-Ⅱ， CD80 and CD86 on the surface of RAW264.7 cells， enhance phagocytic ability towards tumor cells， and reduce the content of IL-6 and increase the level of NO（P<0.05， P<0.01）. ConclusionThe three nourishing kidney Yin formulas can reduce the incidence of tumor in mice， the mechanism may be related to activating RAW264.7 cells， increasing their phagocytosis to breast cancer cells， and regulating the secretion of IL-6 and NO.

Objective:To prepare a nano-barium titanate@gold Schottky junction (nano-BaTiO 3@Au) coating and investigate its effects on the adhesion, proliferation, and osteogenic differentiation of bone marrow stem cells (BMSCs), aiming to explore a titanium surface modification strategy with superior osteogenic activity. Methods:Pure titanium specimens served as the control group (Ti group). Titanium dioxide coatings were prepared on their surfaces via anodic oxidation. Nano-barium titanate (nBTO group) was further synthesized using the hydrothermal method. Gold nanoparticles were grown in situ on the nano-BaTiO 3 via high-temperature reduction of chloroauric acid using sodium citrate, yielding the nano-barium titanate@gold Schottky junction coating (nBTO@Au group). Surface morphology was observed by scanning electron microscopy (SEM). Elemental composition was analyzed using X-ray energy dispersive spectrum (EDS) and X-ray photoelectron spectroscopy (XPS). Crystal structure was analyzed using X-ray diffraction (XRD) and Raman spectroscopy. Hydrophilicity was assessed via water contact angle measurement. Specimens were co-cultured with BMSCs to evaluate biocompatibility and osteogenic properties. Cell proliferation on days 1, 3, 5, and 7 was assessed using the cell counting kit-8 (CCK-8) assay. Cytotoxicity towards BMSCs was assessed using live/dead cell staining. Cell morphology and adhesion were observed using cytoskeleton staining. Alkaline phosphatase (ALP) expression in BMSCs after 7 days was quantified using an ALP activity assay and ALP staining. Extracellular matrix mineralization after 7 days was evaluated using alizarin red staining and quantification assay. Each experiment was performed using three specimens per group. Results:Scanning electron microscopy revealed that gold nanoparticles with the diameter of(14.838±0.718) nm, uniform in size and homogeneously distributed, were successfully grown in situ on the surface of the nBTO coating. EDS and XPS confirmed the presence of Ba, Ti, O, and Au elements in the nBTO@Au composite coating. XRD and Raman spectroscopy analysis indicated that the nanostructured barium titanate (nBTO) coating was synthesized via a hydrothermal method.Water contact angle measurements showed that the contact angle was 66.8°± 0.45° for the control group, 22.55°±0.42° for the nBTO group, and 26.78°±1.15° for the nBTO@Au group, indicating good hydrophilicity of both nBTO and nBTO@Au coatings. On day 1 and day 3 of culture, the cell proliferation in the nBTO group was significantly lower than that in the control group ( P<0.05). In contrast, no significant differences were observed between the nBTO@Au group and either the control group or the nBTO group (all P>0.05). By day 5, the cell proliferation of nBTO@Au groups was significantly lower than that of the control group ( P<0.05), and the cell proliferation of nBTO group was significantly lower than that of the control group and that of the nBTO@Au group ( P<0.05). By day 7, there were no statistically significant differences in cell proliferation among all experimental groups ( F=1.62, P>0.05).Live/dead cell staining demonstrated that the cell survival rate exceeded 90% in all groups, with normal morphology and few dead cells, indicating good biocompatibility of the nBTO@Au coating. Compared to the control group, both nBTO and nBTO@Au groups promoted cell adhesion and spreading, although no significant difference in cell morphology was noted between the two modified groups. ALP staining revealed a larger stained area and deeper coloration in the nBTO@Au group. Quantitative results showed that ALP activity in the nBTO@Au group was significantly higher than that in both the nBTO and control groups ( P<0.05), and the nBTO group also exhibited significantly higher activity than the control group( P<0.05). Alizarin red staining indicated the deepest coloration in the nBTO@Au group, followed by the nBTO group, and the lightest in the control group. Quantitative analysis further confirmed that the amount of calcium nodule deposition in the nBTO@Au group was significantly greater than that in the other two groups ( P<0.05), and the nBTO group also showed significantly more deposition than the control group( P<0.05). Conclusions:This study successfully prepared an nBTO@Au coating possessing good biocompatibility and enhanced osteogenic properties.