Severe open tibiofibular fractures account for approximately 28.1% of all open fractures. Among them, Gustilo-Anderson type IIIB/C fractures present significant clinical challenges due to associated bone and soft tissue defects, high infection rates, and risk of amputation. Inadequate preoperative assessment may lead to suboptimal emergency surgical planning or intraoperative complications. Historically, external fixation was often preferred, but this approach has been associated with limitations such as restricted joint mobility, delayed bone union, joint stiffness, and disuse osteoporosis, resulting in poor functional recovery. With advancements of debridement techniques, standardization of antibiotic use, and popularization of early soft tissue coverage, early internal fixation has gained broader acceptance. Nevertheless, controversies persist regarding the choice of fixation method, timing of definitive fixation, use of reamed versus unreamed intramedullary nailing, and necessity of fibular fixation. To standardize the diagnosis and early management of severe open tibiofibular fractures, reduce complication rates, and improve functional recovery, the Society of Microsurgery of the Chinese Medical Association organized a panel of domestic experts to develop the Evidence-based guideline for the diagnosis and early fixation of severe open tibiofibular fractures ( version 2025), using evidence-based methodology. The guidelines provided 12 recommendations covering diagnostic and early fixation strategies of severe open tibiofibular fractures, aiming to provide clinicians with scientifically grounded and standardized guidance.

Objective:To explore the influencing factors of survival in patients with esophageal squamous cell carcinoma after intensity-modulated radiotherapy and construct the nomogram prediction model.Methods:A retrospective case series study was conducted. The data of 130 patients with newly diagnosed esophageal squamous cell carcinoma who received intensity-modulated radiotherapy at Shanxi Province Cancer Hospital from February 2016 to June 2018 were collected. Cox regression analysis was used to screen the independent influencing factors for overall survival (OS) and progression-free survival (PFS). The nomogram models for predicting the 1-year and 2-year OS rates and PFS rates of esophageal squamous cell carcinoma patients after intensity-modulated radiotherapy were constructed based on the screened independent influencing factors. The calibration curves and receiver operating characteristic (ROC) curves were drawn to evaluate the consistency and efficacy of the nomogram prediction model. Bootstrap method (B = 500 times) was used for internal validation.Results:The median age of 130 patients was 59 years old, including 90 males and 40 females; esophageal lesions of 10 cases were located in the neck, 34 cases were in the upper chest, 55 cases were in the middle chest, and 31 cases were in the lower chest; clinical staging: 3 cases were stage Ⅰ, 37 cases were stage Ⅱ, 79 cases were stage Ⅲ, and 11 cases were stage Ⅳ. Multivariate Cox regression analysis showed that the clinical staging and gross tumor volume (GTV) were independent factors affecting OS and PFS in patients with esophageal squamous cell carcinoma after intensity-modulated radiotherapy (both P < 0.01). The nomogram models for predicting the 1-year and 2-year PFS rates and OS rates of patients with esophageal squamous cell carcinoma after intensity-modulated radiotherapy were construct based on the clinical staging and GTV. The calibration curves showed good consistency between the predicted results of the model and the actual observed results. The Bootstrap method and ROC curves internal validation results showed that the area under the curve (AUC) of the model was 0.832 for predicting 1-year OS rate, 0.838 for predicting 2-year OS rate, 0.829 for predicting 1-year PFS rate, and 0.900 for predicting 2-year PFS rate. Conclusions:Clinical staging and GTV are independent influencing factors of OS and PFS in patients with esophageal squamous cell carcinoma after intensity-modulated radiotherapy. The nomogram models constructed based on these two factors can be used to predict the survival prognosis of patients with esophageal squamous cell carcinoma after intensity-modulated radiotherapy.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Anticipatory anxiety is a negative emotion that arises when individuals encounter potential threats or uncertainties in the future. It is the core symptom of a variety of anxiety disorders, and is closely associated with the occurrence, severity, treatment outcome, and prognosis of anxiety disorders, which has garnered a growing amount of focus in clinical practice. Nevertheless, scientific research on anticipatory anxiety continues to face obstacles such as unclear pathological mechanisms, the absence of simple and consistent self-assessment tools, and effective interventions. To improve understanding of the role of anticipatory anxiety in the diagnosis and treatment of anxiety disorders, this study reviews pertinent domestic and international literature, and briefly introduces the concept, assessment and measurement, activation paradigm, pathological mechanisms, and interventions of anticipatory anxiety.

BACKGROUND:Ferroptosis is closely associated with the pathogenesis of ischemic stroke,and targeting ferroptosis is a promising regimen for the treatment of ischemic stroke,but the specific regulatory targets are unclear. OBJECTIVE:To screen ferroptosis-related characterized genes in ischemic stroke by bioinformatics and machine learning methods and validate them by cellular experiments to investigate the role of ferroptosis in ischemic stroke. METHODS:Eligible ischemic stroke-related datasets and ferroptosis expression datasets were selected based on GEO database and FerrDb database,and ferroptosis-related differential genes were screened by t-test.GO functional enrichment analysis with KEGG signaling pathway enrichment analysis was performed for ferroptosis-related differential genes.Characterized genes for ferroptosis in ischemic stroke were screened by PPI network analysis and machine learning.The reliability and biological functions of the characterized genes were explored using ROC analysis and GSEA analysis,followed by cell experiment.HT22 cells were divided into control and ischemic stroke groups.No intervention was made in the control group,and 0.1 mM H2O2 was added to the ischemic stroke group for 24 hours to simulate cellular oxidative stress injury and ferroptosis.The ferroptosis and the expression of characterized genes were verified by real-time fluorescence quantitative polymerase chain reaction(RT-PCR)and western blot assay. RESULTS AND CONCLUSION:(1)Forty-five ferroptosis-associated differential genes were obtained,and GO and KEGG enrichment analyses revealed that the differential genes were closely associated with oxidative stress,autophagy,ferroptosis,adipocytokine signaling pathway,and mitochondrial metabolism.(2)A total of one ferroptosis characterized gene,nuclear factor erythroid 2-related factor 2(NFE2L2),was identified by the MCODE plugin and cytoHubba plugin in the PPI network with the LASSO algorithm and SVM-RFE algorithm in machine learning.(3)Receiver operating characteristic curve analysis of NFE2L2 revealed that the diagnostic prediction models constructed in the training and validation sets had good accuracy and specificity.GSEA analysis of NFE2L2 revealed that the characterized gene was involved in the regulation of ischemic stroke pathogenesis through immunity,inflammatory response,amino acid metabolism,and neurofactor regulation.(4)RT-PCR and western blot analyses showed that the acyl coenzyme A synthetase long chain family,member 4(ACSL4)mRNA and protein expression levels were significantly higher in the ischemic stroke group compared with the control group(P<0.05),and the glutathione peroxidase 4(GPX4)mRNA and protein expression levels were significantly lower in the ischemic stroke group(P<0.05).Compared with the control group,the mRNA and protein expression levels of the characterized gene NFE2L2 were significantly higher in the ischemic stroke group(P<0.05).(5)It suggests that ischemic stroke is closely related to ferroptosis,and targeting the characterized gene NFE2L2 may provide certain ideas and directions for the study and treatment of ischemic stroke.

Objective To analyze the basic conditions and pathological characteristics of the samples in the Human Brain Bank of Hebei Medical University,which were pathologically diagnosed as cerebral amyloid angiopathy,and to provide reference for the research of related diseases.Methods The basic data of gender,age,apolipoprotein E genotype,pathological classification of cerebral amyloid angiopathy,Alzheimer's disease-related pathological change score,comorbidities and other pathological information were analyzed.Results Up to October 2024,twenty samples were confirmed by pathological diagnosis,with a male to female ratio of 3:1 and an average age of(80.90±8.08)years.Involve three kinds of apolipoprotein E subtype,5 kinds of genotypes(ε2/ε3 xε2/ε4、ε3/ε3 xε3/ε4、ε4/ε4);There were 2 pathologic types,including 6 cases of type 1 and 14 cases of type 2.The pathological grade included 3 grades.The severity grade and subtype classification of cerebral amyloid vascular disease were correlated with the degree of pathological changes of Alzheimer's disease.Cerebral amyloid angiopathy samples could coexist with other degenerative diseases with high comorbidity.Conclusion The incidence of cerebral amyloid angiopathy is higher in the aged samples collected based on Brain Bank,which coexists with conditions such as Alzheimer's disease and microbleeds,etc.It provides more detailed pathological diagnosis basis for further scientific research sharing of samples.

Objective:To construct an indicator system for entrustable professional activities (EPAs) in the general practice enhancement stage of pediatric specialist physician training.Methods:A draft indicator system for EPAs in the general practice enhancement stage of pediatric physician training was developed through core EPAs working group discussion, literature review, nominal group discussion, and expert consultation. Subsequently, the indicator system was preliminarily implemented and revised.Results:The core EPAs working group consisted of nine specialist physician trainers. In the initial brainstorming stage, a "potential list" of 30 activities was established. After literature review and collation, the draft indicator system included eight EPAs. Through nominal group discussion, the connotation of the draft was enriched, and the importance of the EPAs was ranked and modified. Finally, through expert consultation, the EPAs for the general practice enhancement stage of pediatric specialist physician training were determined. These included basic operations for the treatment of critically ill children, identification and management of critical illnesses, referral of critically ill children, perioperative management, in-hospital consultation, medical and teaching management and system improvement, doctor-patient communication and dispute handling, and response to public health events. During the preliminary implementation stage, a total of nine specialist physicians who participated in the training were evaluated. Based on the problems found in the pre-evaluation, the indicators of EPAs were revised, and a corresponding curriculum training system was developed.Conclusions:Through multiple rounds of nominal group discussion and expert consultation, the indicator system for EPAs in the general practice enhancement stage of pediatric specialist physician training was formulated. The system was preliminarily implemented and revised, and a curriculum system was constructed.

AIM To establish a rapid quantitative analysis model for saponins in Paris polyphylla var.yunnanensis(PPY)by near infrared spectroscopy.METHODS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ and there total content in PPY were determined by HPLC,while spectral data within the range of 10 000 to 4 000 cm-1 were collected.A quantitative analysis model was established by combining these data with partial least squares regression(PLSR).Multivariate scatter correction(MSC)and vector normalization(SNV)were applied prior to further preprocessing the spectra with original,first-order derivative(1stD),or second-order derivative(2ndD)treatments.Lastly,the model was optimized through non-smoothing(NS),Norris Derivative filtering(Nd),and Savitzky-Golay filtering(S-G)method.Model stability was evaluated based on correlation coefficients and variance.The predicted contents of each saponin component in the validation set samples were calculated.RESULTS The contents of polyphyllins Ⅰ,Ⅱ,Ⅶ were 0.42-17.98,0.46-10.44,0.23-3.86 mg/g,respectively.The total content ranged from 2.91 to 22.1 mg/g.The optimal parameters of three saponins were achieved when selecting the MSC+2ndD+S-G pretreatment method.The corresponding ratio of line segment length to segment gap was 13∶5,15∶5,11∶5,with correlation coefficients of 0.982,0.930,0.958,respectively.The root mean square errors of calibration(RMSEC)were 0.702,0.797,0.238,and the root mean square errors of prediction(RMSEP)were 1.120,0.835,0.304,respectively.The optimal parameters for the total content were obtained when selecting the MSC+2ndD+NS pretreatment method,with a correlation coefficient of 0.970,a RMSEC of 1.090,and a RMSEP of 1.740.CONCLUSION This accurate and rapid method can be used for detection of saponin contents in P.Polyphylla.

Objective:To construct an indicator system for entrustable professional activities (EPAs) in the general practice enhancement stage of pediatric specialist physician training.Methods:A draft indicator system for EPAs in the general practice enhancement stage of pediatric physician training was developed through core EPAs working group discussion, literature review, nominal group discussion, and expert consultation. Subsequently, the indicator system was preliminarily implemented and revised.Results:The core EPAs working group consisted of nine specialist physician trainers. In the initial brainstorming stage, a "potential list" of 30 activities was established. After literature review and collation, the draft indicator system included eight EPAs. Through nominal group discussion, the connotation of the draft was enriched, and the importance of the EPAs was ranked and modified. Finally, through expert consultation, the EPAs for the general practice enhancement stage of pediatric specialist physician training were determined. These included basic operations for the treatment of critically ill children, identification and management of critical illnesses, referral of critically ill children, perioperative management, in-hospital consultation, medical and teaching management and system improvement, doctor-patient communication and dispute handling, and response to public health events. During the preliminary implementation stage, a total of nine specialist physicians who participated in the training were evaluated. Based on the problems found in the pre-evaluation, the indicators of EPAs were revised, and a corresponding curriculum training system was developed.Conclusions:Through multiple rounds of nominal group discussion and expert consultation, the indicator system for EPAs in the general practice enhancement stage of pediatric specialist physician training was formulated. The system was preliminarily implemented and revised, and a curriculum system was constructed.