Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

Objective: Data on syncopal donation-related vasovagal reaction (DRVR) collected from 74 blood centers between 2020 and 2023 was statistically analyzed to provide a reference for developing preventive strategies against syncopal DRVR. Methods: Data on blood donation adverse reactions and basic information of donors from 2020 to 2023 were collected through the information management system at monitoring sentinel sites. Statistical analysis was performed on the following aspects of syncopal DRVR: characteristics of donors who experienced syncope, reported incidence, triggers, duration, presence and occurrence time of syncope-related trauma, clinical management including outpatient and inpatient treatment, and severity grading. Results: From 2020 to 2023, 45 966 donation-related adverse reactions were recorded. Of these, 1 665 (3.72%) cases were syncopal DRVR. The incidence of syncopal DRVR decreased with age, being the highest in the 18-22 age group. Incidence was significantly higher in female donors than male donors, in first-time donors than repeat donors, and in university and individual donors than group donors (all P<0.05). There was no statistically significant difference among different blood donation locations (P>0.05). The top three triggers were tension, fatigue, and needle phobia or fear of blood. Among syncopal DRVR cases, 60.36% occurred during blood collection, 87.63% lasted for less than 60 seconds, and 5.05% were accompanied by trauma. Notably, 57.14% of these traumas occurred after donor had left the blood collection site. Syncope severity was graded based on required treatment: grade 1 (fully recovered without treatment, 95.50%); grade 2 (recovered after outpatient treatment, 4.02%); and grade 3 (recovered after inpatient treatment, 0.48%). Conclusion: By analyzing the data of syncopal DRVR cases, it is possible to provide a reference for formulating blood donor safety policies.

Invasive fungal infections (IFIs) are a group of diseases caused by fungal pathogens, primarily Candida, Aspergillus, and Cryptococcus, which invade the body, proliferate in deep tissues, organs, or the bloodstream, and lead to localized or systemic severe infections. These infections impose significantclinical and economic burdens due to their high mortality rates, the high cost and limited availability of antifungal drugs, and the frequent adverse effects. Invasive fungal pathogens invade the host through hyphae, spores, and secreted adhesive proteins, primarily triggering disease via signal cascades resulting from the binding of fungal membrane ligands to host receptors, as well as through secreted substances and intrinsic toxins. Macrophages, as the first line of defense against invasive fungal pathogens, play a crucial role in combating IFIs. They combat fungal pathogens through mechanisms such as antigen recognition, phagocytosis, oxidative killing, polarization, and the regulation of various bioactive substances. This article reviews recent research progress on the mechanisms by which macrophages contribute to innate immunity against invasive fungal infections. Additionally, it discusses the immune evasion strategies employed by invasive fungal pathogens to counteract macrophages, aiming to provide new insights for the prevention and treatment of invasive fungal infections.
Humans ; Immunity, Innate ; Macrophages/immunology* ; Invasive Fungal Infections/microbiology* ; Animals ; Phagocytosis/immunology*

Objective To investigate the factors influencing the severity of cerebral white matter hyperintensity in hypertensive patients with acute cerebral infarction,and focus on the independ-ent roles of treatment adherence,advanced age,and multidimensional risk factors.Methods A single-center cross-sectional study was conducted on 262 hypertensive patients with acute cerebral infarction admitted to our department from January 2020 to June 2023.According to their score of Morisky Medication Adherence Scale(MMAS-8),they were divided into an adherence group(116 cases)and a non-adherence group(146 cases).Their demographic data,medical history,and blood pressure data were collected through electronic medical records.Fazekas score was assessed blind-ly to quantify the severity of white matter hyperintensity.MMAS-8 and Montreal Cognitive Assessment Scale(MoCA)were used to assess the behavioral indicators,and modified Rankin Scale(mRS)was employed to evaluate the neurological function.Univariate and multivariate logistic regression analyses were performed to screen the risk factors.Results There were statis-tical differences in marital status,mRS score and Fazekas score between the adherence group and the non-adherence group(P＜0.05,P＜0.01).The non-adherence group had significantly higher diastolic blood pressure than the adherence group[(87.29±7.51)mm Hg(1 mm Hg=0.133 kPa)vs(83.98±8.11)mm Hg,P=0.001].Univariate logistic regression analysis showed age of≥80 years,duration of hypertension≥5 years,systolic blood pressure,and MoCA score＜10 were no-tably correlated with severity of white matter hyperintensity(P＜0.01).Multivariate logistic re-gression analysis indicted that age of≥80 years(OR=3.305,95％CI:1.560-7.001,P=0.002),systolic blood pressure(OR=1.026,95％CI:1.008-1.044,P=0.003),MoCA score＜10(OR=5.210,95％CI:2.060-13.176,P=0.000),and treatment non-adherence(OR=2.380,95％CI:1.346-4.209,P=0.003)were independent risk factors for white matter hyperintensity severity,and duration of hypertension showed no significance in the multivariate model(P＞0.05).Conclusion Poor treatment adherence and advanced age are core factors for white matter hyper-intensity progression in hypertensive patients with acute cerebral infarction.

Objective To investigate the factors influencing the severity of cerebral white matter hyperintensity in hypertensive patients with acute cerebral infarction,and focus on the independ-ent roles of treatment adherence,advanced age,and multidimensional risk factors.Methods A single-center cross-sectional study was conducted on 262 hypertensive patients with acute cerebral infarction admitted to our department from January 2020 to June 2023.According to their score of Morisky Medication Adherence Scale(MMAS-8),they were divided into an adherence group(116 cases)and a non-adherence group(146 cases).Their demographic data,medical history,and blood pressure data were collected through electronic medical records.Fazekas score was assessed blind-ly to quantify the severity of white matter hyperintensity.MMAS-8 and Montreal Cognitive Assessment Scale(MoCA)were used to assess the behavioral indicators,and modified Rankin Scale(mRS)was employed to evaluate the neurological function.Univariate and multivariate logistic regression analyses were performed to screen the risk factors.Results There were statis-tical differences in marital status,mRS score and Fazekas score between the adherence group and the non-adherence group(P＜0.05,P＜0.01).The non-adherence group had significantly higher diastolic blood pressure than the adherence group[(87.29±7.51)mm Hg(1 mm Hg=0.133 kPa)vs(83.98±8.11)mm Hg,P=0.001].Univariate logistic regression analysis showed age of≥80 years,duration of hypertension≥5 years,systolic blood pressure,and MoCA score＜10 were no-tably correlated with severity of white matter hyperintensity(P＜0.01).Multivariate logistic re-gression analysis indicted that age of≥80 years(OR=3.305,95％CI:1.560-7.001,P=0.002),systolic blood pressure(OR=1.026,95％CI:1.008-1.044,P=0.003),MoCA score＜10(OR=5.210,95％CI:2.060-13.176,P=0.000),and treatment non-adherence(OR=2.380,95％CI:1.346-4.209,P=0.003)were independent risk factors for white matter hyperintensity severity,and duration of hypertension showed no significance in the multivariate model(P＞0.05).Conclusion Poor treatment adherence and advanced age are core factors for white matter hyper-intensity progression in hypertensive patients with acute cerebral infarction.

Total hip arthroplasty(THA)is an effective treatment for elderly femoral neck fractures,mid-to late-stage femoral head necrosis,and end-stage hip osteoarthritis.However,serious complications such as aseptic loosening of the prosthesis,peripheral fractures,and dislocation of the prosthesis still exist following THA,which makes the selection of the appropriate hip prosthesis type and placement position before THA an important challenge for surgeons.Currently,the commonly used preoperative planning methods for THA mainly rely on static images from two-dimensional(2D)X-ray or three-dimensional(3D)computed tomography(CT),which fail to adequately consider the hip joint in weight-bearing as well as motion,lumbar-hip joint changes,and prosthetic impingement during motion.Recently,the dual fluoroscopic imaging system,as a new in-vivo,dynamic radiological imaging technology,provides comprehensive and accurate dynamic 3D data for THA preoperative planning.However,the technical process and expert consensus on preoperative 3D planning of THA using a dual fluoroscopic imaging system have not yet been established,which affects the promotion and application of this technology.In light of the above,national orthopaedic experts and related professional representatives discussed and proposed seven consensus issues,and the'expert recommendation rate'and'strong recommendation rate'were obtained through a questionnaire survey on the recommendations of the participating experts.This consensus aims to provide guidance and reference for the standardised application of preoperative 3D planning of THA using the dual fluoroscopic imaging system.

Total hip arthroplasty(THA)is an effective treatment for elderly femoral neck fractures,mid-to late-stage femoral head necrosis,and end-stage hip osteoarthritis.However,serious complications such as aseptic loosening of the prosthesis,peripheral fractures,and dislocation of the prosthesis still exist following THA,which makes the selection of the appropriate hip prosthesis type and placement position before THA an important challenge for surgeons.Currently,the commonly used preoperative planning methods for THA mainly rely on static images from two-dimensional(2D)X-ray or three-dimensional(3D)computed tomography(CT),which fail to adequately consider the hip joint in weight-bearing as well as motion,lumbar-hip joint changes,and prosthetic impingement during motion.Recently,the dual fluoroscopic imaging system,as a new in-vivo,dynamic radiological imaging technology,provides comprehensive and accurate dynamic 3D data for THA preoperative planning.However,the technical process and expert consensus on preoperative 3D planning of THA using a dual fluoroscopic imaging system have not yet been established,which affects the promotion and application of this technology.In light of the above,national orthopaedic experts and related professional representatives discussed and proposed seven consensus issues,and the'expert recommendation rate'and'strong recommendation rate'were obtained through a questionnaire survey on the recommendations of the participating experts.This consensus aims to provide guidance and reference for the standardised application of preoperative 3D planning of THA using the dual fluoroscopic imaging system.

Objective To analyze the correlation between plasma Pannexin-1(Panx-1)level and no-reflow after percutaneous coronary intervention(PCI)in patients with ST-segment elevation my-ocardial infarction(STEMI).Methods A prospective trial was performed on 218 STEMI patients who underwent PCI in our hospital from January 2019 to December 2021.According to the blood flow classification of myocardial infarction thrombolysis(TIMI)after PCI,they were divided into normal reflow group(110 cases),slow reflow group(69 cases)and no reflow group(39 cases).The plasma Panx-1 level was determined by ELISA,and the levels of P-selectin,activated glyco-protein Ⅱ b/Ⅲ a(aGP Ⅱ b/Ⅲ a)and platelet-leukocyte aggregates(PLA)were determined by flow cytometry.Results Older age,larger ratio of diabetes mellitus,longer time from symptom onset to PCI,higher platelet count and levels of LDL-C,D-dimer,P-selectin,GP Ⅱ b/Ⅲ a,PNA,PM A,PLyA and plasma Panx-1 were observed in the no-reflow group than the normal and slow reflow groups(P＜0.05).The plasma Panx-1 level in STEMI patients was positively correlated with P-selectin,GP Ⅱ b/Ⅲ a,PNA,PM A and PLyA(P＜0.05,P＜0.01).LDL-C ≥3.20 mmol/L and plasma Panx-1＞0.88 μg/mL were independent risk factors for no-reflow after PCI in STEMI pa-tients(OR=2.198,95％CI:1.252-3.858,P=0.006;OR=16.849,95％CI:4.481-63.357,P=0.000).The AUC value of Panx-1 was 0.826(95％CI:0.744-0.907,P＜0.01)in predicting no re-flux in STEMI patients after PCI.Conclusion The increase of plasma Panx-1 level is closely asso-ciated with the occurrence of no reflow in STEMI patients after PCI,and the protein can be used as a predictive biomarker for the phenomenon.

Objective To observe the value of radiomics combined with CT features for distinguishing mycoplasma pneumonia(MP)and non-MP in children.Methods Data of 153 children with pneumonia were retrospectively analyzed.The children were divided into MP group(n=101)and non-MP group(n=52)according to mycoplasma RNA detection,and also were divided into training set(n=107,including 71 MP and 36 non-MP)and validation set(n=46,including 30 MP and 16 non-MP)at the ratio of 7∶3.CT findings were compared between groups.Six best CT features were selected in training set using F test algorithm,and a CT model was constructed using logistic regression(LR)method.The best radiomics features were extracted and screened in training set,and machine learning(ML)models were constructed using LR,support vector machine(SVM),random forest(RF),linear discriminant analysis(LDA)and stochastic gradient descent(SGD)classifiers,respectively.Based on the best CT features and radiomics features,CT-ML models were constructed using the above classifiers.Receiver operating characteristic curves were drawn,and the areas under the curve(AUC)were calculated,the efficacy of each model for distinguishing MP and non-MP was evaluated.Results Lesions involved the upper,middle and lower lobe of right lung,thickened bronchial wall,tree bud sign and edge retract sign were the best CT features.AUC of CTLR was 0.710,of MLLR,MLSVM,MLRF,MLLDA and MLSGD in validation set was 0.715,0.663,0.623,0.706 and 0.494,respectively,and MLLR was the optimal radiomics model.AUC of CT-MLLR,CT-MLSVM,CT-MLRF,CT-MLLDA and CT-MLSGD in validation set was 0.813,0.823,0.649,0.796 and 0.665,respectively,and CT-MLSVM was the optimal CT-ML model.In training set,AUC of CT-MLSVM(0.840)was higher than that of CTLR and MLLR model(AUC=0.713,0.740,both P＜0.05).In validation set,no significant difference of AUC was found among CTLR,MLLR and CT-MLSVM(AUC=0.710,0.715 and 0.823,all P＞0.05).Conclusion Radiomics combined with CT features could effectively distinguish MP and non-MP in children.

Objective To analyze the causes of changes in the prevalence of respiratory diseases and the reason for changes in medical visit behavior of children in Zhejiang Province during the winter and spring seasons of 2019-2021, and to provide important reference for the allocation of hospital resources, implementation of hierarchical diagnosis and treatment, and epidemic prevention and control. Methods A retrospective study was conducted on 256 937 outpatient medical records from January 23rd to April 23rd of each year from 2019 to 2021 at the Children's Hospital Affiliated to Zhejiang University School of Medicine. Statistical methods were used for data analysis. Results A total of 256 937 cases were selected in the present study, including 157 000 cases in 2019, 22 192 cases in 2020, and 77 745 cases in 2021. The number of patients to the Children's Hospital of Zhejiang University School of Medicine from outside Hangzhou accounted for 41.74%, 14.36% , and 18.53% in 2019-2021, respectively. For 0~2 years old , 3~6 years old , and 7~14 years old groups , the percentages of patients with upper respiratory tract infections were 49.54%, 45.95%, and 46.74%, respectively ; with lower respiratory tract infections were 42.90% , 31.76% , and 22.95% ; with influenza were 2.23% , 3.15% and 4.09%; and with asthma were 1.37%, 5.08%, and 8.15%, respectively. Conclusion From 2019 to 2021, there have been significant changes in the total number of respiratory diseases in children, the proportion of disease types, and the proportion of children's geographical composition. It is necessary to continue to monitor children's respiratory diseases, grasp the dynamic changes in their medical visits in real time, adjust the hospital admission model , implement the graded treatment policy, and promote the prevention and control of respiratory diseases in children.