Objective To explore the value of combined ultrasound parameters, including the hepatorenal index (HRI) and renal resistance index (RRI), with cystatin C (CysC) in monitoring early acute kidney injury (AKI) after liver transplantation. Methods Perioperative data from 121 liver transplant recipients who received organs from donation after brain death were collected. The HRI and RRI of the recipients were measured on postoperative days 1-7 and at 1 month, and the CysC levels were measured on postoperative day 1. The recipients were divided into the AKI group (n=53) and the non-AKI group (n=68) based on whether AKI occurred within 7 days after operation. The data of the two groups were compared, and the ultrasound parameters before and after recovery in the AKI group were analyzed. The value of combined HRI, RRI and CysC in monitoring AKI was also analyzed. Results AKI occurred in 53 recipients, with an incidence rate of 43.8%, including 30 cases of stage 1, 18 cases of stage 2, and 5 cases of stage 3. Among them, 49 cases occurred on postoperative day 1, and 4 cases occurred on postoperative day 2. Of these, 43 cases recovered within 7 days after surgery, 8 cases recovered within 2 months after surgery, 1 case was lost to follow-up, and 1 case received renal replacement therapy. The body mass index and preoperative CysC levels were higher in the AKI group than in the non-AKI group, and the operative time was longer in the AKI group than in the non-AKI group (all P < 0.05). The HRI on postoperative day 1 was lower in the AKI group than in the non-AKI group, while the RRI and CysC levels were higher (all P < 0.05). When AKI occurred, the HRI was lower than the baseline level, and the RRI was higher than the baseline level. As AKI recovered, the HRI gradually increased, and the RRI gradually decreased. The receiver operating characteristic curve analysis showed that the sensitivity and specificity of HRI ≤ 1.12 for predicting AKI were 0.623 and 0.878, respectively, with an area under the curve (AUC) of 0.801. The sensitivity and specificity of RRI ≥ 0.65 for predicting AKI were 0.878 and 0.676, respectively, with an AUC of 0.825. The sensitivity and specificity of CysC ≥ 1.38 mg/L for predicting AKI were 0.736 and 0.882, respectively, with an AUC of 0.851 (all P<0.01). The combination of HRI and CysC (AUC=0.897, P<0.01), RRI and CysC (AUC=0.910, P<0.01), and all three parameters combined (AUC=0.934, P<0.01) were more effective than using each parameter alone. Conclusions HRI and RRI may be used to monitor the occurrence and recovery of early AKI after liver transplantation. The combination of these two parameters with CysC has a high application value in monitoring early AKI after liver transplantation.

ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 （MTIF2） gene methylation and its association with the development and progression of hepatocellular carcinoma （HCC）. MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples， including survival curve analysis， methylation signature analysis， the association of tumor signaling pathways， and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level， and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races， ethnicities， BMI levels， and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation （hazard ratio ［HR］=0.492， P<0.001）， while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels （P>0.05）. The methylation profile of the MTIF2 gene based on different ages， sexes， BMI levels， races， ethnicities， and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age， and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population （P<0.05）； the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ （P<0.05）. Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population （P<0.05）. ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.

Objective To make an epidemiological investigation on traditional Chinese medicine(TCM)dampness syndrome manifestations in the population at risk of cerebrovascular diseases in Guangdong area.Methods A cross-sectional study was conducted to analyze the clinical data related to the risk of cerebrovascular diseases in 330 Guangdong permanent residents.The diagnosis of dampness syndrome,quantitative scoring of dampness syndrome and rating of the risk of stroke were performed for the investigation of the distribution pattern of dampness syndrome and its influencing factors.Results(1)A total of 306(92.73%)study subjects were diagnosed as dampness syndrome.The percentage of dampness syndrome in the risk group was 93.82%(258/275),which was slightly higher than that of the healthy group(48/55,87.27%),but the difference was not statistically significant(χ2 = 2.91,P = 0.112).The quantitative score of dampness syndrome in the risk group was higher than that of the healthy group,and the difference was statistically significance(Z =-2.24,P = 0.025).(2)Among the study subjects at risk of cerebrovascular disease,evaluation time(χ2 = 26.11,P = 0.001),stroke risk grading(χ2= 8.85,P = 0.031),and history of stroke or transient ischemic attack(TIA)(χ2 = 9.28,P = 0.015)were the factors influencing the grading of dampness syndrome in the population at risk of cerebrovascular disease.Conclusion Dampness syndrome is the common TCM syndrome in the population of Guangdong area.The manifestations of dampness syndrome are more obvious in the population with risk factors of cerebrovascular disease,especially in the population at high risk of stroke,and in the population with a history of stroke or TIA.The assessment and intervention of dampness syndrome should be taken into account for future project of stroke prevention in Guangdong.

Objective To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database,to explore research hotspots and developmen-tal trends.Methods A total of 736 articles on artificial intelligence in forensic medicine in the Web of Science Core Collection Database from 2012 to 2022 were visualized and analyzed through the litera-ture measuring tool CiteSpace.The authors,institution,country(region),title,journal,keywords,cited references and other information of relevant literatures were analyzed.Results A total of 736 articles published in 220 journals by 355 authors from 289 institutions in 69 countries(regions)were identi-fied,with the number of articles published showing an increasing trend year by year.Among them,the United States had the highest number of publications and China ranked the second.Academy of Forensic Science had the highest number of publications among the institutions.Forensic Science Inter-national,Journal of Forensic Sciences,International Journal of Legal Medicine ranked high in publica-tion and citation frequency.Through the analysis of keywords,it was found that the research hotspots of artificial intelligence in the forensic field mainly focused on the use of artificial intelligence technol-ogy for sex and age estimation,cause of death analysis,postmortem interval estimation,individual identification and so on.Conclusion It is necessary to pay attention to international and institutional cooperation and to strengthen the cross-disciplinary research.Exploring the combination of advanced ar-tificial intelligence technologies with forensic research will be a hotspot and direction for future re-search.

Objective To explore the prevention and treatment of vasovagal reflex during and after operation in diseases of urinary system.Methods From February 2020 to April 2023,1436 patients who completed inpatient surgery in Department of Urology,Songshan Hospital,Qingdao University Medical College were selected to analyze the emergency management measures of vasovagal reflex during and after operation and summarize the diagnosis and treatment experience.Results Among 1436 patients,vasovagal reflex occurred in 4 cases during operation and 14 cases after operation,with an incidence of 1.25%.Most patients showed simultaneous decrease in blood pressure and heart rate.After intravenous injection of atropine and dopamine,blood pressure and heart rate returned to normal,and various concomitant symptoms disappeared,and no death cases were reported.Conclusion Urological specialists should pay attention to vasovagal reflex,sum up experience,do early identification,timely treatment to ensure the safety of patients.

Objective To explore the functional changes of the glial lymphatic system in patients with spontaneous intracerebral hemorrhage(sICH)by MR diffusion tensor imaging(DTI).Methods The clinical and imaging data of 32 sICH patients(sICH group)and 31 healthy volunteers(control group)were retrospectively collected,and the diffusivity values of DTI in different direc-tions were collected from all the subjects,the diffusion tensor imaging analysis along the perivascular space(DTI-ALPS)index was calculated,the difference of DTI-ALPS index values between the sICH group and the control group was compared,the changes in the function of the glial lymphatic system in sICH patients were evaluated,and the correlation between DTI-ALPS index and clinical indi-cators in sICH patients was further analyzed.Results The DTI-ALPS index of cerebral hemispheres on the lesions side of sICH group was significantly lower than that on the unaffected side(P＜0.01,t=-5.03),and lower than that on the left side of control group(P＜0.01,t=-9.85)and the right side(P＜0.01,t=-8.80).In addition,vascular endothelial growth factor(VEGF)tes-ting was performed in 8 of the 32 patients,and the levels[(187.40±19.11)pg/mL]were significantly higher than the normal range(0-142.20 pg/mL).Conclusion Through the quantitative analysis of the DTI-ALPS index,the damage to the function of the glial lymphatic system of sICH can be reflected,and perhaps the mechanism of pathophysiological changes in the brain after sICH can be reflected from a new perspective by using MR DTI technology.

Objective To investigate the value of quantitative parameters(Kep and Ktrans)of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI),in predicting perineural invasion(PNI)in peripheral prostate cancer(PCa).Methods The clinical and preoperative MRI data of 45 patients with peripheral PCa who underwent radical prostatectomy(RP)were analyzed retrospectively.According to the pathological results,the patients were divided into PNI group(n=27)and non-PNI group(n=18).Various parameters,including age,total prostate specific antigen(tPSA),Ktrans value,Kep value,apparent diffusion coefficient(ADC)value,prostate volume,maximum lesion diameter,and prostate-specific antigen density(PSAD)were compared between the two groups.Multivariate logistic regression analysis was used to identify independent predictors of PNI,and a joint prediction model was established.The DeLong test was used to compare differences in the area under the curve(AUC)between the joint prediction model and each independent predictor.Results The univariate analysis identified statistically significant differences in the tPSA,Ktrans value,ADC value,maximum lesion diameter,and PSAD between the two groups(P＜0.01).The multivariate analysis showed that the Ktrans value and the maximum lesion diameter were independent predictors of PNI,with AUC of 0.854 and 0.874,respectively(P＜0.01).The AUC of the joint prediction model for PNI diagnosis was 0.955(P＜0.001).The DeLong test showed that the AUC of the joint prediction model for PNI diagnosis was better than that of the Ktrans and the maximum lesion diameter(P＜0.05).Conclusion The Ktrans value can be used to predict PNI.Furthermore,the combination of the Ktrans value and the maximum lesion diameter is more effective for predicting PNI than traditional methods.This provides more reference basis for the selection of clinical treatment methods.

Objective To compare the outcomes of transplant kidneys and patient survival between simultaneous pancreas-kidney transplantation(SPKT)recipients and deceased donor kidney transplant(DDKT)recipients in patients with type 2 diabetes mellitus(T2DM)complicated with end-stage renal disease(ESRD),and to analyze the risk factors affecting patient survival post-SPKT.Methods Clinical and prognostic data of patients who underwent kidney transplantation from January 27,2003,to January 1,2021,were retrieved from the United Network for Organ Sharing(UNOS)database.A total of 50 230 cases were selected based on inclusion criteria,with 48 669 cases in DDKT group and 1561 cases in SPKT group.Kaplan-Meier analysis was employed to compare transplant kidney and patient survival between the two groups,and propensity score matching(PSM)was utilized to balance confounding factors between the groups.Cox regression model was used to analyze independent risk factors affecting patient survival post-SPKT.Results Compared with DDKT group,recipients in SPKT group had a younger median age(P<0.001),a higher proportion of males(P<0.001),lower BMI(P<0.001),shorter dialysis and transplant waiting times(P<0.001),a higher percentage of private medical insurance(P<0.001),a lower proportion of previous transplants(P<0.001),a younger age at diabetes diagnosis(P<0.001),and a lower incidence of peripheral vascular disease(P=0.033).Compared with DDKT group,the donors in SPKT group had a younger median age(P<0.001),a higher proportion of males(P<0.001),lower BMI(P<0.001),and a lower prevalence of hypertension and diabetes history(P<0.001).In terms of transplant-related factors,the SPKT group had a shorter donor kidney cold ischemia time(P<0.001),a higher degree of HLA mismatch(P<0.001),and a lower Kidney Donor Profile Index(KDPI)(P<0.001)when compared with DDKT group.The SPKT group had lower serum creatinine levels at discharge(P<0.001),lower rates of postoperative delayed graft function(DGF)and acute rejection(AR)(P<0.001),but longer hospital stays(P<0.001)when compared with DDKT group.Kaplan-Meier survival analysis curves,both original and after propensity score matching(PSM),consistently showed significantly higher transplant kidney and patient survival rates in SPKT group compared with DDKT group(P<0.001).Cox regression model analysis indicated that recipient age,recipient race,donor age,and donor kidney cold ischemia time were independent risk factors influencing patient survival post-SPKT.Conclusions For ESRD patients with T2DM,SPKT offers improved long-term graft and patient survival rates compared with DDKT.Recipient age,recipient ethnicity,donor age,and cold ischemia time for the donor's kidney are independent risk factors affecting post-SPKT patient survival.

Objective To investigate the clinical outcomes of cranioplasty with polyether ether ketone(PEEK)or titanium after large craniectomy in patients.Methods Clinical data of 150 patients undergoing skull repair due to large frontotemporal skull defect in our hospital from April 2018 to June 2022 were retrospectively analyzed,and they were divided into titanium mesh group and PEEK group according to different repair materials.The conditions of surgical site infection,bleeding,subcutaneous effusion,seizure,implant rupture or exposure in the two groups were compared.Results In the PEEK group,96.3％of patients needed to implant the repair material under the temporal muscle,which was significantly higher than that in the titanium mesh group(78.1％)(P＜0.05).There were no significant differences in postoperative complications including infection,bleeding,seizure,implant rupture or leakage between the two groups(P＞0.05).However,the incidence of postoperative subcutaneous effusion in PEEK group was higher than that in titanium mesh group(14.8％VS4.2％,P＜0.05),and the difference was statistically significant.Conclusion Both titanium and PEEK can be used in cranioplasty for patients with large frontotemporal cranial defects.Subcutaneous effusion is common in patients underwent cranioplasty with PEEK postoperatively,which needs to be paid more attention.

Objective:To investigate the independent risk factors for postoperative severe pulmonary infection (SPI) in patients with severe traumatic brain injury (sTBI) and evaluate their predictive value.Methods:A retrospective cohort study was conducted to analyze the clinical data of 163 sTBI patients admitted to Tongji Hospital, Tongji Medical College of Huazhong University of Science and Technology from April 2021 and March 2023, including 101 males and 62 females, aged 20-80 years [53.0(46.0, 59.0)years]. The surgical procedures involved decompressive craniectomy, subdural hematoma removal, epidural hematoma removal, and intracranial hematoma removal. The patients were divided into SPI group ( n=62) and non-SPI group ( n=101) according to whether they had SPI postoperatively. The following data of the two groups were collected, including gender, age, preoperative Glasgow coma scale (GCS), elevated blood glucose, abnormal liver function, abnormal renal function, hemoglobin level, anemia, albumin level, hypoproteinemia, white blood cell count, neutrophil count, lymphocyte count, platelet count, neutrophil-to-lymphocyte ratio (NLR), derived neutrophil-to-lymphocyte ratio (dNLR), platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI) and serum lactate dehydrogenase (LDH) level. All the hematological tests were performed on venous blood samples collected preoperatively before anti-inflammatory treatment. Independent risk factors for predicting the postoperative occurrence of SPI in sTBI patients were identified through univariate analysis and multivariable stepwise regression analysis. The predictive value of separate indicator or indicators combined was assessed by calculating the area under the curve (AUC) of the receiver operating characteristic (ROC) curve. Results:Univariate analysis demonstrated that preoperative GCS, albumin level, lymphocyte count, NLR, PNI and serum LDH level in both groups were significantly correlated with the postoperative occurrence of SPI ( P<0.05), while gender, age, elevated blood glucose, abnormal liver function, abnormal renal function, hemoglobin level, anemia, hypoproteinemia, white blood cell count, neutrophil count, platelet count, dNLR and PLR were not correlated with the postoperative occurrence of SPI in sTBI patients ( P>0.05). Multivariable stepwise regression analysis revealed that low lymphocyte count (95% CI -0.337, -0.013, P<0.05), high NLR (95% CI -0.023, -0.005, P<0.01), low PNI (95% CI 0.007, 0.026, P<0.01), and high serum LDH (95% CI -0.002, -0.001, P<0.01) were independent risk factors for SPI in sTBI patients ( P<0.05). ROC curve analysis indicated that low lymphocyte count, high NLR, low PNI and high serum LDH level could predict SPI in sTBI patients postoperatively, with the combination of PNI and serum LDH showing the highest predictive ability (AUC=0.78, 95% CI 0.70, 0.85). Conclusion:Low lymphocyte count, high NLR, low PNI, and high serum LDH level are independent risk factors for postoperative SPI in patients with sTBI, and the combination of PNI and serum LDH possesses a high predictive value for postoperative SPI in sTBI patients.