Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.

Carbon dioxide(CO2),a colorless,odorless,low-density negative contrast agent with no nephrotoxicity or allergic reactions,has seen increasingly widespread application in the field of vascular imaging in recent years,particularly in patients with iodine allergy or renal insufficiency.When combined with digital subtraction angiography,CO2 angiography has demonstrated high-quality imaging in various arterial and venous sites such as the abdominal aorta,renal arteries,iliac arteries,lower limb arteries,and inferior vena cava.It has also shown safety and efficacy in clinical scenarios such as peripheral arterial disease,dialysis access evaluation,and transjugular intrahepatic portosystemic shunt procedures.This review systematically summarizes domestic and international research progress on CO2 angiography,outlines its physicochemical properties,injection dosages and parameters,clinical indications,and imaging characteristics,and compares its image quality with that of iodine-based contrast agents.Common complications,their mechanisms,and preventive measures are also discussed.Although the image quality of CO2 is slightly inferior to that of iodine agents,it remains sufficient for most diagnostic and therapeutic needs,with a low overall incidence of mainly mild and transient adverse effects.With the development of automated injection systems and digital variance angiography technology,CO2 imaging quality is expected to continue improving,and its application scope is likely to expand further.Future efforts should focus on strengthening multicenter clinical research and establishing standardized operational protocols to promote the broader adoption and regulated use of this technology.

Objective To develop a graded early mobility implementation pathway for critically ill adult patients in tertiary hospitals in Beijing and to preliminarily validate its feasibility and effectiveness.Methods Based on the"goal-directed"early mobility concept,a graded early mobility implementation pathway for critically ill patients was developed through evidence synthesis and the Delphi method,consisting of 3 components:patient inclusion,mobility implementation,and mobility evaluation.Using convenience sampling,patients meeting inclusion criteria in the general ICU of a tertiary hospital in Beijing from October 2024 to January 2025 were selected as participants.Among them,25 patients admitted from December 2024 to January 2025 were assigned to an experimental group and received early mobility interventions following the developed pathway.25 patients admitted from October to November 2024 served as a control group and received routine ICU mobility care.Outcomes including diaphragm excursion,muscle strength,ICU length of stay,and adverse events were compared between the 2 groups.Results The graded early mobility pathway achieved an implementation rate of 70.05％in the experimental group,significantly higher than it in the control group(P＜0.001),without increasing adverse events.Post-intervention diaphragm excursion in the experimental group was significantly greater than that in the control group(P=0.018).Conclusion The developed graded early mobility implementation pathway for ICU patients demonstrates scientific rigor and clinical practicality.It provides a reference for the widespread and effective implementation of early mobility in ICUs,standardizing its clinical application.

Objective To evaluate the efficacy and safety of a novel intravascular lithotripsy(IVL)balloon—Vesscrack shockwave balloon—for vascular preparation before stent implantation in patients with severe coronary artery calcification(CAC).Methods This was a prospective,single-arm,multicenter study conducted in China from June 2022 to October 2022.Patients with severe CAC were treated with the Vesscrack shockwave balloon for lesion preparation,followed by drug-eluting stent(DES)implantation.Of these,33 patients underwent optical coherence tomography(OCT).The primary endpoint was procedural success,defined as successful stent implantation with residual stenosis≤30％and the absence of in-hospital major adverse events,including cardiac death,target vessel-related myocardial infarction,or target lesion revascularization.Results A total of 170 patients[mean age:(65.9±7.9)years,116 males]were enrolled.After treatment with IVL and DES,the minimum lumen diameter increased significantly compared to baseline[(2.34±0.40)mm vs.(0.95±0.33)mm,P＜0.001],the degree of stenosis was significantly reduced[(13.24±6.60)％vs.(65.18±10.59)％,P＜0.001].Procedural success was achieved in 100％of cases,and device success was 98.8％.The 30-day patient-related cardiovascular clinical composite endpoint(POCE)rate was 0.0,with no target lesion failure,no confirmed or potential thrombotic events were observed.The shockwave energy generator demonstrated excellent stability and ease of use.Among the 33 patients assessed with OCT,after IVL intervention,the maximum calcified area of the lumen[(3.51±1.51)mm2 vs.(2.85±1.80)mm2,P＜0.001],and the minimum lumen area within the target lesion[(3.08±1.04)mm2 vs.(2.02±0.75)mm2,P＜0.001],and after DES intervention,the luminal area of the largest calcified site[(6.59±1.64)mm2 vs.(2.85±1.80)mm2,P＜0.001]and the minimum luminal area within the target lesion[(6.19±1.45)mm2 vs.(2.02±0.75)mm2,P＜0.001]were significantly increased,and the differences were statistically significant.Conclusions The Vesscrack shockwave balloon is effective and safe for vascular preparation in patients with severe CAC prior to stent implantation.It achieves significant calcified plaque modification,high procedural success rates,and minimal complications.

Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.

This study established a droplet digital PCR(ddPCR)EvaGreen assay and probe methods for Schistosoma japonicum detection,and evaluated their application in detecting early infections in the S.japonicum host oncomelania and mice.Primers and corresponding probes for both ddPCR methods were designed and synthesized,and plasmids containing target sequences were constructed.The sensitivity of the two methods was tested through detection of the corresponding plasmids,and infectious and mixed oncomelania genomic DNA.Their specificity was evaluated by the detection of genomic DNA of negative oncomelania,Schistosoma mansoni,Clonorchis sinensis,Spirometra mansoni,and S.japonicum(as a positive control).The ddPCR probe method was evaluated by detection of early infection of oncomelania exposed tomiracidium with various ratios and incubation times,and the early migration and distribution of cercaria or schistosomula in mouse hosts infected with 200 cercaria via abdominal skin contact.According to standard curves constructed through the detection of plasmid serial dilutions,the regression equation for the EvaGreen assay was y=-0.839 9x+7.050 9,with a correlation coefficient R2=0.988 1,and the regression equation for the probe method was y=-1.047 5x+7.255 1,with a correlation coefficient R2=0.999 8.The lowest limit of plasmid detection with the probe method was between 38.94 cp/μL and 194.74 cp/μL.Both methods successfully detected positive reactions in the genomic DNA samples of infectious oncomelania at concentrations above 0.002 ng/μL and in the genomic DNA of each group of oncomelania mixtures.No significant differences between probe methods were observed in the detection values in the control group and the genomic DNA of negative oncomelania,S.mansoni,C.sinensis,and S.mansoni.However,the detection value of genomic DNA of negative oncomelania(291 ng/μL)with the EvaGreen assay was(20.3±4.39)cp/μL,a value significantly higher than the(1.5±0.1)cp/μL observed in the control group.For detection of early infection in oncomelania,the probe method detected Schistosoma japonicum DNA after 30 s incubation at room temperature with a≥5∶1 ratio of miracidium to oncomelania;the detection value peaked after a short time(5 min),and the peak value showed a fold increase similar to the increase in the miracidium to oncomelania ratio.Detection of early stage infection in mice with the probe method revealed that the schistosomula entered the lungs on day 2 and the liver on day 4,and continually migrated within the organs with abundant blood supply(spleen,kidney,and brain)in the first 9 days;moreover,a tendency toward ectopic parasitism was observed in the heart and pancreas on day 9,and a constantly negative control level was observed in the testes.The ddPCR probe method was more accurate and specific than the EvaGreen assay in the detection of plasmids,and infectious and mixed oncomelania,and the latter showed non-specific reactions in negative oncomelania detection.In a practical application,the probe method was demonstrated to be sensitive,to effectively reflect the early infection of oncomelania,and to reveal schistosomula migration and distribution in multiple organs of infected mice.

Objective To investigate the prevalence of food intolerance among children in Zhuzhou area and its relationship with age,gender,systemic diseases,and food allergies,so as to provide a basis for the scientific adjustment of children's dietary structure.Methods A retrospective analysis was conducted on totally 1 592 children who underwent food intolerance and food allergen testing in the hospital,the positive rate and distri-bution of 14 kinds of food intolerance were assessed,and their correlation with various factors was analyzed.Results Among 14 kinds of food tested,milk and eggs had the highest positive rates of intolerance,at 82.22％and 55.78％,respectively.The majority of children were intolerant to 1 to 2 kinds of food,with a de-creasing trend in the number of children intolerant to multiple kinds of food.Among the 14 types of food,ex-cept for mushrooms and pork,there were statistically significant differences in the distribution of negative,mild,moderate,and severe intolerance in other foods(P＜0.05).Children tended to have moderate or even se-vere intolerance to milk and eggs,while they tended to have mild intolerance to other foods.There was no sta-tistically significant difference in the overall food intolerance rate between boys and girls(P=0.654),but the positive rate of tomato intolerance in girls was slightly higher than that in boys(P=0.043).Except for pork,there were statistically significant differences in the positive rates of intolerance to 14 different foods among different age groups(P＜0.05).The positive rates of intolerance to cod,mushrooms,and crabs increased with age,while the positive rates of intolerance to beef decreased with age.There was a statistically significant difference in the positive rate of milk intolerance between healthy children and children with skin allergies(P＜0.05).There was a statistically significant difference in the proportion of individuals who were tolerant and not allergic to milk compared to hose who were intolerant and allergic to milk(P＜0.05).There was a statistically significant difference in the proportion of individuals who were tolerant and not allergic to eggs compared to those who were intolerant and allergic to eggs(P＜0.05).Conclusion The positive rate of food intolerance among children in Zhuzhou area is relatively high,with milk and eggs being the main intolerant foods.There are differences in the positive rate of intolerance among different gender and age groups,and in-tolerance to milk and eggs is associated with food allergies to some extent.

The scientific interpretation of the theory of medicinal properties of TCM is a research hotspot in the modernization of TCM. It is of great value to clarify the property and degree of cold and heat in Chinese materia medica for guiding clinical precise medication. In recent years, the research on the cold and heat properties of Chinese materia medica has been carried out at the animal, cell and molecular levels. Based on the objective material basis of medicinal properties, from the perspective of biological effects such as thermodynamics and multiomics; with the help of infrared thermal imaging and other technologies for analysis; forming a variety of research models such as "property-structure relationship". Related research has developed from a single material component or index to a new model that tends to integrate multi-source information and multi-dimensional data. However, how to deal with the problems of large sample size, strong redundancy, high heterogeneity, and how to integrate multi-dimensional information are still research difficulties. With its powerful computing and learning ability, machine learning can show good discrimination and prediction ability in the study of cold and hot properties of Chinese materia medica, and play an important role in the study of cold and hot properties of Chinese materia medica. At present, the most widely used algorithms are linear discriminant analysis, Logistic discriminant analysis, support vector machine, decision tree, random forest and so on. The data dimension of the existing research needs to be enriched, the algorithm has room for further optimization, and a more detailed discriminant model of cold and hot properties of Chinese materia medica needs to be established.

Objective:To investigate the clinical characteristics and independent risk factors of severe disease in patients with anti-nuclear matrix protein (NXP) 2 antibody-positive juvenile dermatomyositis (JDM).Methods:A retrospective cohort study was conducted, including 219 anti-NXP2 antibody-positive JDM patients admitted to 23 children′s hospitals across China from July 2011 to July 2023. Patients were classified into severe and non-severe groups based on classification criteria for severe dermatomyositis. Demographic characteristics, clinical manifestations, and laboratory parameters were compared between the 2 groups using independent sample t-test, Mann-Whitney U test, or χ2 test. Univariate and multivariate Logistic regression analyses were performed to identify risk factors for severe disease. The receiver operating characteristic curve was employed to calculate optimal cut-off values. Results:Among the 219 patients, 108 were male and 111 were female, with an age at onset of 6.3 (3.5, 9.4) years. The severe group comprised 69 patients, and the non-severe group 150 patients. The severe group had significantly higher rates of fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, as well as elevated levels of ferritin-to-albumin ratio (FAR), creatine kinase (CK), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) (all P<0.05). Multivariate analysis identified anti-Ro52 antibody positivity ( OR=13.26, 95% CI 1.37-128.29) and elevated FAR ( OR=1.90, 95% CI 1.09-2.31) as independent risk factors for severe anti-NXP2 antibody-positive JDM (both P<0.05). Receiver operating characteristic curve analysis revealed that a FAR cutoff value of 6.82 predicted severe disease with an area under the curve of 0.87 (95% CI 0.81-0.94, P<0.001), sensitivity of 0.85, and specificity of 0.70. All patients received glucocorticoid therapy, and the severe group received higher proportions of steroid pulse therapy, cyclophosphamide, mycophenolate mofetil, intravenous immunoglobulin, biologics, and adjuvant treatments compared to the non-severe group (all P<0.05). In terms of outcomes, 2 patients (2.9%) in the severe group died (due to neurological involvement and intestinal perforation, respectively), while the remaining patients achieved complete clinical response or remission. All patients in the non-severe group achieved remission. Conclusions:The primary clinical features of anti-NXP2 antibody-positive JDM included fever, heliotrope rash, subcutaneous edema, periorbital edema, anti-Ro52 antibody positivity, and elevated levels of CK, AST, LDH, and FAR. Furthermore, anti-Ro52 antibody positivity and a FAR>6.82 were identified as independent risk factors.