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:To investigate the application value of risk prediction model for acute kidney injury (AKI) after donation of cardiac death (DCD) liver transplantation based on machine learning algorithm.Methods:The retrospective cohort study was conducted. The clinicopathological data of 1 001 pairs of DCD liver transplant donors and recipients at five hospitals, including The First Affiliated Hospital of Zhejiang University School of Medicine et al, in the Chinese Liver Transplan-tation Registry from January 2015 to December 2023 were collected. Of the donors, there were 825 males and 176 females. Of the recipients, there were 806 males and 195 females, aged 52 (range, 18-75)years. There were 281 recipients included using oversampling technique, and all 1 282 recipients were divided to the training set of 897 recipients and the validation set of 385 recipients by a ratio of 7∶3 using computer-generated random numbers. Seven prediction models, including Random Forest (RF), Extreme Gradient Boosting (XGBoost), Support Vector Machine (SVM), Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN), and Categorical Boosting (CatBoost), were constructed for AKI after liver transplantation based on machine learning algorithm. Observation indicators: (1) comparison of clinicopathological characteristics between recipients with and without AKI and donors; (2) follow-up and survival of recipients with and without AKI; (3) construction and validation of nomogram prediction model of AKI after liver transplantation; (4) construction and validation of machine learning prediction model of AKI after liver transplantation. Comparison of measurement data with normal distribution between groups was conducted using the independent sample t test. Comparison of measurement data with skewed distribution between groups was conducted using the Mann-Whitney U test, and comparison among groups was conducted using the Kruskal-Wallis H test. Comparison of count data between groups was conducted using the chi-square test or corrected chi-square test. Kaplan-Meier method was used to calculate survival rates and plot survival curves. Logistic regression model was performed for univariate and multivariate analyses. The receiver operating characteristic (ROC) curve was plotted to calculate area under curve (AUC) and 95% confidence interval ( CI). The performance of prediction model was evaluated using DeLong test, accuracy, sensitivity, specificity. The calibration curve was plotted to evaluate the performance of predicted probability and actual probability. The interpretability analysis of machine learning algorithm and SHapley Additive exPlanations was used to explain the model decision separately. Results:(1) Comparison of clinicopathological characteristics between recipients with and without AKI and donors. Of 1 001 recipients, there were 360 cases with AKI and 641 cases without AKI after liver transplantation. There were significant differences in body mass index (BMI), hepatic encepha-lopathy, hepatitis B surfact antigen (HBsAg), hepatorenal syndrome (HRS) and donor diabetes, donor blood urea nitrogen, donor alanine aminotransferase, donor aspartate aminotransferase, mass of graft, volume of blood loss during liver transplantation, warm ischema time of donor liver, and operation time between recipients with and without AKI ( Z=-4.337, χ2=9.751, 9.088, H=11.142, χ2=5.286, Z=-3.360, -2.539, -3.084, -1.730, -3.497, -1.996, -2.644, P<0.05). (2) Follow-up and survival of recipients with and without AKI. All the 1 001 recipients received follow-up. The recipients with AKI after liver transplantation were followed up for 18.6(range, 0-102.3)months, and recipients without AKI after liver transplantation were followed up for 31.9(range, 0.1-105.5)months. The 1-, 3-, and 5-year overall survival rates were 72.1%, 63.5%, and 59.3% of recipients with AKI, versus 86.7%, 76.7%, and 72.5% of recipients without AKI, respectively, showing a significant difference in overall survival between them ( χ2=26.028, P<0.05). (3) Construction and validation of nomogram predic-tion model of AKI after liver transplantation. Results of multivariate analysis showed that recipient BMI, recipient creatinine, recipient HBsAg, recipient HRS, donor blood urea nitrogen, donor crea-tinine, anhepatic phase and volume of blood loss during liver transplantation were independent risk factors for AKI of recipients after liver transplantation ( odds ratio=1.113, 0.998, 0.605, 1.580, 1.047, 0.998, 1.006, 1.157, 95% CI as 1.070-1.157, 0.996-1.000, 0.450-0.812, 1.021-2.070, 1.021-1.074, 0.996-0.999, 1.000-1.012, 1.045-1.281, P<0.05). The nomogram prediction model of AKI after liver transplantation was constructed based on the results of multivariate analysis. Results of ROC curve showed that the AUC of 0.666 (95% CI as 0.637-0.696). (4) Construction and validation of machine learning prediction model of AKI after liver transplantation. Based on the Lasso regression analysis, seven machine learning algorithm prediction models, including RF, XGBoost, SVM, LR, DT, KNN, and CatBoost, were constructed, with ROC curves of the validation set plotted. The AUC of above models were 0.863, 0.841, 0.721, 0.637, 0.620, 0.708, 0.731, accuracies were 0.764, 0.782, 0.701, 0.592, 0.605, 0.605, 0.681, sensitivities were 0.764, 0.789, 0.719, 0.588, 0.694, 0.694, 0.704, specificities were 0.763, 0.774, 0.683, 0.597, 0.511, 0.511, 0.656, respectively. Delong test showed that the RF model with the highest AUC of 0.863(95% CI as 0.828-0.899). Calibration curve analysis showed the predicted probability closest to the actual probability of RF model, indicating the model with a good validation value. Further sorting of SHAP of different clinical factors based on RF model showed that recipient BMI, donor blood urea nitrogen, volume of blood loss during liver transplantation, donor age had large effects on the output outcomes. Conclusion:The nomogram prediction model and seven machine learning algorithm prediction models for AKI after DCD liver transplantation are constructed, and the RF model based on machine learning has a better predictive performance.

Objective To explore the action mechanism of dehydrocostus lactone(DHL)on renal interstitial fibrosis(RIF)in rats with unilateral ureteral obstruction(UUO).Methods Forty-four male SD rats were randomly divided into four groups:the sham surgery group(Sham group),the pure drug intervention group(Sham+DHL group),the experimental group(UUO+Vehicle group)and the DHL treatment group(UUO+DHL group),with 11 rats in each group.The rats underwent sham surgery,sham surgery+DHL[10 mg/(kg·d)],UUO modeling+the same volume of solvent and UUO modeling+DHL[10 mg/(kg·d)],respectively.After surgery,DHL or the same volume of solvent was administered by gavage for 14 days starting from day 2 post-surgery.Hematoxylin-eosin(HE)and Masson staining were used to observe the pathological changes in renal tissue.Immunohistochemical staining was performed to detect the expression levels of collagen I,collagen III and α-smooth muscle actin(α-SMA).Western blotting was used to detect the protein levels of the transforming growth factor(TGF)-β1/Smad2/3 pathway.Results Compared with the UUO+Vehicle group,DHL treatment alleviated renal interstitial pathological damage,reduced collagen fiber deposition,and decreased the expression of collagen I,collagen III and α-SMA.It also inhibited the expression of TGF-β1 and Smad2/3 proteins.Conclusions DHL mitigates RIF in rats by inhibiting the TGF-β1/Smad2/3 pathway,providing a new strategy for the treatment of chronic kidney disease.

A subset of patients with multiple myeloma(MM)present with reduced serum vitamin B12 levels at initial diagnosis;however,its clinical significance and underlying mechanisms remain unclear.Vitamin B12 plays a crucial role in hematopoiesis and immune regulation.This study aims to elucidate its association with extramedullary diseases,immune function,and prognosis in MM patients.A retrospec-tive analysis was conducted of 92 newly diagnosed MM patients,who received treatment at the Second Af-filiated Hospital of Soochow University between January 2020 and December 2023.Patients were classi-fied into a low vitamin B12 group(n=37)and a normal vitamin B12 group(n=55)based on their ser-um vitamin B12 levels.The findings revealed that the incidence of extramedullary infiltration was signifi-cantly higher in the low vitamin B12 group than in the normal group(26.5％vs.17.0％,P=0.031).Survival analysis demonstrated that patients with low vitamin B12 levels had significantly shorter overall survival(OS)and progression-free survival(PFS)(OS:P=0.0123;PFS:P=0.0136).Additionally,these patients showed a decreasing trend in peripheral blood total T cell,CD4+T cell,and CD8+T cell counts,with serum vitamin B12 levels showing a significant positive correlation with the total T cell count(R=0.2717,P=0.0135)and CD4+T cell count(R=0.2175,P=0.0497).In conclusion,reduced serum vitamin B12 levels at initial diagnosis are significantly associated with poor prognosis in MM pa-tients and may serve as a potential prognostic biomarker.Furthermore,vitamin B12 deficiency may con-tribute to immune dysfunction,particularly impaired T cell immunity,and a higher incidence of extr-amedullary diseases.

Objective To analyze the risk factors and effective predictive indicators for postpartum hemor-rhage(PPH)in pregnant women with severe pre-eclampsia(sPE)in singleton pregnancies.The findings will serve as a valuable reference for the clinical prevention and management of PPH in these patients.Methods A retrospective analysis was conducted on 932 pregnant women with sPE at two tertiary hospitals in Guangzhou from January 1,2016,to December 31,2022.Among these,95 cases were complicated by PPH.A comparative analysis was performed between the sPE group and the sPE with PPH group.Results(1)The incidence of assisted reproductive technology,intrapartum blood loss,placental abruption,elevated D-dimer levels,increased monocyte counts,and higher SIRI levels were significantly higher in the PPH group,whereas platelet counts were significantly lower(P<0.05).(2)The results indicated that intrapartum blood loss,D-dimer levels,and platelet counts were inde-pendently associated with PPH in pregnant women with sPE.(3)The area under the curve(AUC)for intrapartum blood loss,D-dimer,and platelet counts were 0.805,0.717,and 0.571,respectively.The optimal cutoff value for D-dimer was determined to be 2.295 μg/mL.The combined AUC for intrapartum blood loss and D-dimer was 0.859.(4)Intrapartum blood loss values were significantly higher in the PPH group for both vaginal delivery and cesarean section(P<0.001).The corresponding optimal cutoff values were 285 mL and 375 mL,respectively.Conclusions Intrapartum haemorrhage,D-dimer levels,and platelet count were identified as independent risk factors for PPH in pregnant women with sPE.Specifically,pregnant women with sPE who experienced blood loss exceeding 285 mL during vaginal delivery or 375 mL during caesarean section,along with a D-dimer level greater than 2.295 μg/mL,demonstrated an increased likelihood of developing PPH.Therefore,it is crucial to enhance clinical monitoring of these relevant indicators in high-risk populations.

Objective:To investigate the risk factors influencing mortality in neonates undergoing continuous renal replacement therapy (CRRT).Methods:This retrospective study included 34 neonates with a corrected age of≤28 days who received CRRT at the Affiliated Children's Hospital of Xiangya School of Medicine, Central South University, from January 2019 to December 2023. The neonates were divided into a mortality group ( n=16) and a survival group ( n=18) based on whether they died during CRRT. Pre-CRRT blood biochemical indices, general condition, CRRT treatment modes, parameters, and related complications were analyzed using t-tests, Wilcoxon signed-rank tests, and Chi-square tests. Logistic stepwise regression analysis was used to screen for risk factors associated with CRRT mortality. Results:The mortality rate among the 34 neonates was 48.6% (16/34), with a median CRRT age of 17 days (range: 2-33 days). Eleven neonates (32.3%) were preterm, with the youngest gestational age being 27 weeks and the lowest weight before CRRT initiation being 1 700 g. The mortality group had lower urine output 6-12 hours before CRRT initiation and lower critical illness scores compared to the survival group [0.05 (0.02-1.00) ml/(kg·h) vs. 0.50 (0.20-1.05) ml/(kg·h), (64.50±7.10) scores vs. (77.67±3.65) scores, Z or t values were 10.97 and 3.91, respectively]. However, the vasoactive inotropic score (VIS), proportion of coma, and levels of blood potassium, alanine aminotransferase, aspartate aminotransferase, blood ammonia, blood lactic acid, and activated partial thromboplastin time (APTT) were higher in the mortality group compared to the survival group [ (86.88±15.80) scores vs. (55.56±24.31) scores, 11/16 vs. 1/18, (7.02±1.73) mmol/L vs. (5.88±1.53) mmol/L, 274.55(132.50-664.98) U/L vs. 31.10(19.03-110.70) U/L, 688.20 (449.73-3 618.13) U/L vs. 96.65 (44.15-439.00) U/L, 232.75 (70.33-1 310.85) μmol/L vs.77.70 (49.78-919.05) μmol/L, (11.17±3.36) U/L vs. (7.99±2.67) U/L, and (99.57±39.74) s vs. (60.97±31.25) s, with t, χ2, or Z values of－4.39, 14.81,－2.03,－2.72,－11.81,－3.89,－3.06, and－3.17, respectively] (all P<0.05). Logistic regression analysis revealed that pre-treatment VIS value ( OR=1.150, 95% CI: 1.035-1.278), and blood ammonia level ( OR=1.004, 95% CI: 1.002-1.009) were independent risk factors for mortality (both P<0.05). Conclusions:Neonatal CRRT mortality is associated with pre-treatment VIS scores and blood ammonia levels. Attention should be paid to a rapid decreases in urine output, the intensity of vasopressor support, and elevated levels of blood ammonia, blood lactic acid, transaminases, and APTT at the initiation of treatment.

Objective To analyze the risk factors and effective predictive indicators for postpartum hemor-rhage(PPH)in pregnant women with severe pre-eclampsia(sPE)in singleton pregnancies.The findings will serve as a valuable reference for the clinical prevention and management of PPH in these patients.Methods A retrospective analysis was conducted on 932 pregnant women with sPE at two tertiary hospitals in Guangzhou from January 1,2016,to December 31,2022.Among these,95 cases were complicated by PPH.A comparative analysis was performed between the sPE group and the sPE with PPH group.Results(1)The incidence of assisted reproductive technology,intrapartum blood loss,placental abruption,elevated D-dimer levels,increased monocyte counts,and higher SIRI levels were significantly higher in the PPH group,whereas platelet counts were significantly lower(P<0.05).(2)The results indicated that intrapartum blood loss,D-dimer levels,and platelet counts were inde-pendently associated with PPH in pregnant women with sPE.(3)The area under the curve(AUC)for intrapartum blood loss,D-dimer,and platelet counts were 0.805,0.717,and 0.571,respectively.The optimal cutoff value for D-dimer was determined to be 2.295 μg/mL.The combined AUC for intrapartum blood loss and D-dimer was 0.859.(4)Intrapartum blood loss values were significantly higher in the PPH group for both vaginal delivery and cesarean section(P<0.001).The corresponding optimal cutoff values were 285 mL and 375 mL,respectively.Conclusions Intrapartum haemorrhage,D-dimer levels,and platelet count were identified as independent risk factors for PPH in pregnant women with sPE.Specifically,pregnant women with sPE who experienced blood loss exceeding 285 mL during vaginal delivery or 375 mL during caesarean section,along with a D-dimer level greater than 2.295 μg/mL,demonstrated an increased likelihood of developing PPH.Therefore,it is crucial to enhance clinical monitoring of these relevant indicators in high-risk populations.

Objective:To investigate the application effect of diltiazem hydrochloride combined with sacubitril valsartan on chronic heart failure after coronary intervention(PCI).Methods:A prospective study was conducted.The cases were included from May 2020 to May 2023.After the inclusion and exclusion criteria were deleted,a total of 88 patients with chronic heart failure after PCI met the research requirements.They were divided into two groups with the same number of cases,namely 44 cases in each group.The control group received oral treatment with sacubitril and valsartan,while the observation group received additional treatment with diltiazem hydrochloride on top of the control group.Compare the clinical efficacy,changes in cardiac function related indicators and exercise endurance before and after treatment between two groups,and conduct a 1-year follow-up of all patients to record the incidence of cardiovascular adverse events during the follow-up period.Finally,compare the changes in quality of life before and after treatment between the two groups of patients.Results:The total effective rate of the observation group was 93.18％,which was higher than the control group's 77.27％(P＜0.05);After treatment,the changes of cardiac function related indexes and exercise tolerance were compared.It was found that the N-terminal B-type natriuretic peptide(NT proBNP)(45.14±6.34)pg/mL,LVEDD(51.66±3.04)mm and LVESD(32.63±4.45)mm in the observation group were lower than those in the control group,while the left ventricular ejection fraction(LVEF)(55.57±4.25)％and 6MWT(514.62±34.42)m in the observation group were higher than those in the control group(P＜0.05);During the 1-year follow-up,no death occurred in the two groups.The incidence of cardiovascular adverse events in the observation group was 4.55％,much lower than 20.45％in the control group(P＜0.05);After treatment,the scores of emotion,body,others and MLHFQ in the observation group(13.53±2.21,14.25±2.63,20.35±4.52,48.13±5.25)were lower than those in the control group(P＜0.05).Conclusion:The combination of Diltiazem Hydrochloride and Sacubitril Valsartan has significant therapeutic effects on patients with chronic heart failure after PCI.It can improve patients' cardiac function and exercise endurance,reduce the incidence of cardiovascular adverse events,and improve their quality of life.

Objective To evaluate the consumption of opioid and postoperative analgesia of intercostal nerve block(ICNB)and paravertebral block(PVB)for autologuous rib cartilage graft for auricular reconstruction in children with microtia.Methods A total of 120 patients scheduled for autologuous rib cartilage graft for auricular reconstruction were enrolled.According to randomized blocks,patients were allocated into three groups(n=40 in each group):general anesthesia group(GA group),ultrasound-guided intercostal nerve block group(ICNB group)and ultrasound-guided PVB group(PVB group).GA group only received general anesthesia,while ICNB group and PVB group received single-shot nerve block with lidocaine after induction of general anesthesia.All groups were received patient-controlled intravenous analgesia(PCIA)for 48 hours postoperatively.Intraoperative opioid requirement was recorded.Heart rate(HR)and mean arterial pressure(MAP)were recorded at different time points during surgery.Time of the first visual analogue scale(VAS)obtained and duration of postanesthesia care unit(PACU)stay were evaluated.The VAS scores of chest and ear during deep breath and at rest were recorded during 48 hours postoperatively.Opioid consumption and postoperative analgesia-related adverse events were compared among the three groups during 48 hours after surgery.Results Compared with those in GA group,intraoperative fentanyl consumption(P=0.02,P<0.01),time of the first VAS obtained(P<0.01,P=0.02),duration of PACU stay(P<0.01,P<0.01)and HR when harvesting the first rib cartilage(P=0.04,P<0.01)were statistically lower in ICNB group and PVB group than those in GA group,but no statistical difference was found between these two groups.There were no statistical differences in VAS scores,opioid consumption and analgesia-related adverse events among the three groups.Conclusion Ultrasound-guided single-shot ICNB and PVB with lidocaine provide similar efficacy of reducing intraoperative opioid consumption,maintaining intraoperative hemodynamic stability and faster awakening,but fail to alleviate postoperative pain.

Sarin(GB)is a typical representative of nerve agents with high toxicity,and very low amount can cause death.GB can cause water and atmospheric environment poisoning,so the detection of GB in water and air is of great significance.In this work,a colorimetric sensor array(CSA)based on GB inhibition of cholinesterase activity was constructed to detect GB with high selectivity.A 4×4 colorimetric array was constructed using acetylcholinesterase(AChE),butyryl cholinesterase(BuChE)and the corresponding substrate acetylthiocholine iodide(S-ACh),butyryl thiocholine iodide(S-BCh),acetylcholine chloride(ACh),butyryl choline chloride(BCh)and 2,6-dichloroindophenol ethyl ester(DCIE).The linear curve of the sensor was Y=131.3×lgC+271.6(R2=0.997),where Y was the array response Euclidean distance,C was the concentration of GB(mg/L),the linear range was 0.03?0.32 mg/L,and the detection limit was 27.6 μg/L.The method could effectively distinguish chemical warfare agents(CWA)such as VX,Soman(GD),mustard gas(HD),Louie reagent(L),and had high anti-interference ability,sensitivity and good repeatability.It was successfully applied to the detection of GB in simulated water and simulated air samples,and the sample recovery rate was 97.2% ?100.9%.This method would be potentially applied to the field rapid detection of nerve agents.