Objective:To evaluate the effect of preoperative transcatheter arterial chemoembolization(TACE) on liver function and survival of patients after resection of large hepatocellular carcinoma(HCC) by a randomized controlled approach.Methods: From July 2001 to December 2003,a total of 108 patients with resectable large HCC(≥ 5 cm),who met the inclusion criteria,were prospectively randomized into surgical resection group(OP group,n=56) or preoperative TACE group(TACE+OP group,n=52).Operative outcomes,resection rate,1-,3-,and 5-year tumor-free survival rates and overall survival rate were compared between the two groups.Results: The preoperative baseline conditions were equivalent between the two groups.The ?-globulin level in TACE+OP group was significantly higher than that in the OP group(P=0.046)after chemoembolization.The prealbumin level was significantly lower than that of the OP group seven days after operation(P=0.031).Compared with TACE+OP group,OP group had a significantly higher resection rate(100% vs 89.4%,P=0.017),a less average operative time(P=0.042),and less metastases(2 vs 9,P=0.018).There were no significant differences between the two groups in intraoperative blood loss,warm ischemic time,1-,3-,and 5-year tumor-free survival rates,or overall survival rate.Conclusion: The preoperative TACE can not improve post-operative tumor-free and overall survival rates,and it may result in tumor metastasis or hepatic function damages.

Objective To valuate different effects in hepatectomy of three inflow occlusion methods including pringle maneuver, hemihepatic occlusion and portal venous occlusion. Methods 180 patients undergoing hepatectomy were randomly assigned to pringle group (group A), hemehepatic occlusion group (group B)or PV occlusion group (group C). The amount of blood lost, measurements of liver enzymes alanine aminotransferase (ALT), aspirate aminotransferase (AST), total bilirubin (TB), Serum albumin (ALB) and postoperative complication were also recorded. Results There was no operative mortality. One patient in group B changed into pringle maneuver due to the difficulties in dissecting the hemi-hepatic portal and was excluded. The amount of hemorrhage of three groups had no statistical difference. The ALT, AST, ALB and TB level of 1,3,7 days after operation had significant differences in three groups. The pringle group had a higher level ALT,AST,TB and lower ALB level than the other two groups. Conclusions All techniques of occlusion are effective and feasible for patients undergoing hepatectomies. However, compared with pringle maneuver, PV clamping and hemihepatic occlusion can relieve the liver function damage after hepatectomy.

Objective:To investigate the effect of sodium butytate (different concentrations) on the growth and proliferation of rat liver oval cell line WB-F344, and to discuss the conditions and rules for sodium butyrate-inducd WB-F344 cells differentiation into biliary lineage in vitro. Methods: WB-F344 cells were treated with sodium butyrate (0.75, 2.25, 3.75, 4.5 mmol/L) and the cell growth and morphological changes were observed; routinely cultured WB-F344 cells were taken as control. The changes of CK19 protein expression were examined immunohistochemically after WB-F244 cells were treated with 3.75% sodium butyrate; and the expression of phenotypic markers, such as ?-glutamyltransferase (GGT) ,?4-integrin, CK19, AFP and ALB at mRNA level were determined by RT-PCR. Untreated WB-F344 cells were used as blank control. Results: We found that sodium butyrate inhibited the growth of WB-F344 cells. The optical densities were significantly decreased in 3.75 and 4.5 mmol/L groups compared with that in control group(P

OBJECTlVE To develop an LC-MS/MS method for simultaneous determination of pro-damine ( PDM) and its metabolite 2,4-dinitro-N3-propyl-6-trifluoromethyl-1,3-benzenediamine ( DTB) in rat plasma in order to study toxicokinetics of PDM in rats. METHODS SD male rats were administered a single dose of PDM ( ig: 100 and 1000 mg·kg-1; iv: 100 mg·kg-1 ) . LC-MS/MS method was used to determine PDM and DTB in rat plasma. Toxicokinetic parameters were fitted using DAS Ver2. 1. 1. RESULTS After ig administration of PDM 100 mg·kg-1 , the parameters of PDM and DTB were as fol-lows:AUC(0-t) was 2715±102 and (6845±316)μg·h·L-1, t1/2z was 9.0±1.4 and (7.1±1.3)h, Tmax was 7.0± 1.6 and (7.0±0.0)h, cmax was 146±51 and (473±103)μg·L-1. After ig administration of PDM 1000 mg·kg-1, the parameters of PDM and DTB were as follows:AUC(0-t) was 3401±242 and (10364± 573)μg·h·L-1, t1/2z was 8.8±2.1 and (6.0±1.8)h, Tmax was (7.0±1.6)h, cmax was 175±56 and (586± 152)μg·L-1 . The absolute bioavailability of PDM was 44.9%( 100 mg·kg-1 ) and 17.1%( 1000 mg·kg-1 ) . CONCLUSlON This method is suitable for the analysis of PDM and DTB in rat plasma. There is evidence that PDM and DTB display nonlinear toxicokinetic characteristics in the studied dose range.

Objective This study was to investigate the characteristics of posterior corneal astigmatism (PCA) and aberration in cataract patients with high myopia.Methods A retrospective study was designed.Two hundred and eighty-two eligible eyes of 190 cataract patients were enrolled in Eye and ENT Hospital of Fudan University from September to December,2014.The eyes were classified into two groups according to axial length (AL):high myopia group with 139 eyes (AL≥26 mm) and control group with 143 eyes (AL was 20 to 25 mm).The mean keratometric mid-radius of curvature (Km),corneal central thickness (CCT),astigmatism and aberrations were measured by the rotating Scheimpflug System (Pentacam),and the AL were measured by the partial coherence interferometry (IOL Master).This study followed the Helsinki declaration,and was approved by the Ethic Committee of Eye and ENT Hospital,Fudan University.Informed consent was signed from each patient.Results In high myopia group,the mean PCA was 0.3 D (range 0 ～ 0.9 D) and 92.8％ eyes had PCA values ＜0.5 D.The steep corneal meridian was aligned vertically (60°～ 120°) in 87.1％ eyes for the posterior corneal surface.There was no significant difference in PCA between the high myopia group and the control group (P =0.797).Significant positive linear correlations was found between PCA and anterior corneal astigmatism (ACA),PCA and anterior corneal root mean square (RMS),PCA and anterior lower-order RMS,PCA and posterior corneal RMS,PCA and posterior high-order RMS,PCA and posterior lower-order RMS (r =0.235,P =0.005;r =0.217,P =0.010;r =0.229,P =0.007;r =0.395,P =0.000;r =0.243,P =0.004;r =0.384,P =0.000).Compared with total corneal astigmatism (TCA),anterior corneal measurements overestimated with-the-rule astigmatism (WTR) by a mean of (0.27 ± 0.18) D in 65.67％ eyes,underestimated against-the-rule astigmatism (ATR) by (0.27 ± 0.18) D in 88.10％ eyes and underestimated oblique astigmatism (Obl) by (0.22 ± 0.10) D in 63.33％ eyes.Compared with total corneal aberrations,anterior corneal aberrations measurements overestimated by (0.275 ±0.176) μm in 87.05 ％ eyes,and the anterior corneal astigmatism types had no effect on the result.Conclusions In high myopia group,92.8％ eyes had PCA values ＜0.5 D and the main astigmatism type in posterior corneal surface was ATR.The posterior corneal astigmatism and aberration were needed to consider in choosing intraocular lens (IOL) before cataract surgery.

Objective:To analyze the risk factors of acute kidney injury (AKI) in patients with septic shock in intensive care unit (ICU), construct a predictive model, and explore the predictive value of the predictive model.Methods:The clinical data of patients with septic shock who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical College from April 2015 to June 2019 were retrospectively analyzed. According to whether the patients had AKI within 7 days of admission to the ICU, they were divided into AKI group and non-AKI group. 70% of the cases were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. XGBoost model was used to integrate relevant parameters to predict the risk of AKI in patients with septic shock. The predictive ability was assessed through receiver operator characteristic curve (ROC curve), and was correlated with acute physiology and chronic health evaluationⅡ(APACHEⅡ), sequential organ failure assessment (SOFA), procalcitonin (PCT) and other comparative verification models to verify the predictive value.Results:A total of 303 patients with septic shock were enrolled, including 153 patients with AKI and 150 patients without AKI. The incidence of AKI was 50.50%. Compared with the non-AKI group, the AKI group had higher APACHEⅡscore, SOFA score and blood lactate (Lac), higher dose of norepinephrine (NE), higher proportion of mechanical ventilation, and tachycardiac. In the XGBoost prediction model of AKI risk in septic shock patients, the top 10 features were serum creatinine (SCr) level at ICU admission, NE use, drinking history, albumin, serum sodium, C-reactive protein (CRP), Lac, body mass index (BMI), platelet count (PLT), and blood urea nitrogen (BUN) levels. Area under the ROC curve (AUC) of the XGBoost model for predicting the risk of AKI in patients with septic shock was 0.816, with a sensitivity of 73.3%, a specificity of 71.7%, and an accuracy of 72.5%. Compared with the APACHEⅡscore, SOFA score and PCT, the performance of the model improved significantly. The calibration curve of the model showed that the goodness of fit of the XGBoost model was higher than the other scores (the calibration curve had the lowest score, with a score of 0.205).Conclusion:Compared with the commonly used clinical scores, the XGBoost model can more accurately predict the risk of AKI in patients with septic shock, which helps to make appropriate diagnosis, treatment and follow-up strategies while predicting the prognosis of patients.

Objective:To analyze independent influencing factors of surgical textbook outcome (TO) in patients with gallbladder carcinoma, and to establish a nomogram for predicting TO and evaluated the predictive ability.Methods:Patients with gallbladder carcinoma who underwent surgery in Department of Hepatobiliary and Pancreatic Surgery at Dongfang Hospital Affiliated to Shanghai Tongji University and Department of Biliary Tract Surgery Ⅰ, Third Affiliated Hospital of Naval Medical University (Shanghai Eastern Hepatobiliary Surgery Hospital) from January 2013 to December 2018 were included and the clinical features were retrospectively analyzed. A total of 232 patients were included, including 114 males and 118 females, aged (61.0±9.8) years. According to whether TO reached or not, they were divided into TO group ( n=86) and non-TO group ( n=146). Univariate and multivariate logistic regression were used to analyze the independent influencing factors of TO. The predictive nomogram model of TO was constructed. The receiver operating characteristic (ROC) curve was drawn to evaluate the predictive ability of the model, and the consistency of the predictive model was evaluated by the consistency curve graph and the Hosmer-Lemeshow test. Results:The 1-year and 3-years cumulative survival rates of patients with gallbladder carcinoma in the TO group (86.0% and 62.8%) were better than those in the non-TO group (46.6% and 27.3%), and the difference was statistically significant (χ 2=60.74, P<0.001). In multivariate analysis, higher T stage ( OR=0.16, 95% CI: 0.03-0.79, P<0.001) and cervical gallbladder cancer ( OR=0.14, 95% CI: 0.02-0.94, P=0.004) had the greatest negative association with a TO, and the higher the degree of tumor differentiation ( OR=7.08, 95% CI: 1.34-37.56, P=0.001), the easier it is to achieve TO. The ROC curve showed that the area under the curve of the predictive model was 0.84 (95% CI: 0.79-0.90), suggesting that the model had good predictive performance. A nomogram to assess the probability of TO was developed and had good accuracy in both the consistency curve and Hosmer-Lemeshow test (χ 2=5.77, P=0.673). Conclusion:Tumor T stage, tumor differentiation degree and tumor location are independent influencing factors for achieving TO in patients with gallbladder carcinoma after surgery. The nomogram model constructed according to the above conclusions could accurately predict the probability of reaching TO.

Objective To observe the effects of Yiqi Huoxue Tuodu Prescription on Keap1Nrf2/HO-1 signaling pathway in rats with chronic nonbacterial prostatitis(CNP);To explore its mechanism for the treatment of CNP.Methods CNP rat model was prepared using castration combined with estrogen induction method.Totally 48 SD rats were divided into blank group,model group,celecoxib group and Yiqi Huoxue Tuodu Prescription group according to the random number table method,with 12 rats in each group.In the celecoxib group,celecoxib suspension was instilled 0.035 g/kg,and in the Yiqi Huoxue Tuodu Prescription group,Yiqi Huoxue Tuodu Prescription water decoction was instilled 8.64 g/kg,and the blank group and the model group were instilled with equal volume of normal saline for 28 days.Mechanical pain threshold in rats was measured using Von Frey fiber optic pain gauge,HE staining was used to observe pathological changes in prostate tissue and pathological scoring,the content of reactive oxygen species(ROS)in prostate tissue were detected by chemical fluorescence method and the glutathione peroxidase(GSH-Px)activity and malondialdehyde(MDA)content in prostate tissue were detected by colorimetric method,Western blot was used to detect the expressions of Kelch like ECH related protein 1(Keap1),nuclear factor E2 related factor 2(Nrf2),and heme oxygenase-1(HO-1)protein in prostate tissue.Results Compared with the blank group,rats in the model group had significantly lower mechanical pain threshold and significantly decreased prostate index(P<0.01);the size of the glandular cavity in prostate tissue varied,with the disappearance of secretions in the cavity,interstitial looseness and edema,a large amount of fibrous tissue hyperplasia and inflammatory cell infiltration,and a significant increase in pathological scores(P<0.01);the contents of ROS and MDA in prostate tissue significantly increased,the activity of GSH-Px significantly decreased(P<0.01),the expression of Keap1 and Nrf2 proteins significantly decreased,and the expression of HO-1 protein significantly increased(P<0.01,P<0.05).Compared with the model group,the mechanical pain threshold of the rats in the Yiqi Huoxue Tuodu Prescription group was significantly higher(P<0.01);there was mild damage to prostate tissue,with a small amount of fibrous hyperplasia and inflammatory cell infiltration,and a significant decrease in pathological scores(P<0.01,P<0.05);the contents of ROS and MDA in prostate tissue significantly decreased,and the GSH-Px activity significantly increased(P<0.01),the Keap1 and Nrf2 protein expressions significantly increased and HO-1 protein expression significantly decreased in prostate tissue(P<0.01,P<0.05).Conclusion Yiqi Huoxue Tuodu Prescription can effectively improve the histopathological morphology and increase the pain threshold of the prostate gland in CNP rats,and its mechanism of action may be related to the regulation of Keap1/Nrf2/HO-1 signaling pathway and reduction of oxidative stress damage in prostate tissue of rats.

OBJECTIVE: To analyze the risk factors of in-hospital death in patients with sepsis in the intensive care unit (ICU) based on machine learning, and to construct a predictive model, and to explore the predictive value of the predictive model. METHODS: The clinical data of patients with sepsis who were hospitalized in the ICU of the Affiliated Hospital of Jining Medical University from April 2015 to April 2021 were retrospectively analyzed,including demographic information, vital signs, complications, laboratory examination indicators, diagnosis, treatment, etc. Patients were divided into death group and survival group according to whether in-hospital death occurred. The cases in the dataset (70%) were randomly selected as the training set for building the model, and the remaining 30% of the cases were used as the validation set. Based on seven machine learning models including logistic regression (LR), K-nearest neighbor (KNN), support vector machine (SVM), decision tree (DT), random forest (RF), extreme gradient boosting (XGBoost) and artificial neural network (ANN), a prediction model for in-hospital mortality of sepsis patients was constructed. The receiver operator characteristic curve (ROC curve), calibration curve and decision curve analysis (DCA) were used to evaluate the predictive performance of the seven models from the aspects of identification, calibration and clinical application, respectively. In addition, the predictive model based on machine learning was compared with the sequential organ failure assessment (SOFA) and acute physiology and chronic health evaluation II (APACHE II) models. RESULTS: A total of 741 patients with sepsis were included, of which 390 were discharged after improvement, 351 died in hospital, and the in-hospital mortality was 47.4%. There were significant differences in gender, age, APACHE II score, SOFA score, Glasgow coma score (GCS), heart rate, oxygen index (PaO₂/FiO₂), mechanical ventilation ratio, mechanical ventilation time, proportion of norepinephrine (NE) used, maximum NE, lactic acid (Lac), activated partial thromboplastin time (APTT), albumin (ALB), serum creatinine (SCr), blood urea nitrogen (BUN), blood uric acid (BUA), pH value, base excess (BE), and K⁺ between the death group and the survival group. ROC curve analysis showed that the area under the curve (AUC) of RF, XGBoost, LR, ANN, DT, SVM, KNN models, SOFA score, and APACHE II score for predicting in-hospital mortality of sepsis patients were 0.871, 0.846, 0.751, 0.747, 0.677, 0.657, 0.555, 0.749 and 0.760, respectively. Among all the models, the RF model had the highest precision (0.750), accuracy (0.785), recall (0.773), and F1 score (0.761), and best discrimination. The calibration curve showed that the RF model performed best among the seven machine learning models. DCA curve showed that the RF model exhibited greater net benefit as well as threshold probability compared to other models, indicating that the RF model was the best model with good clinical utility. CONCLUSIONS The machine learning model can be used as a reliable tool for predicting in-hospital mortality in sepsis patients. RF models has the best predictive performance, which is helpful for clinicians to identify high-risk patients and implement early intervention to reduce mortality.
Humans ; Hospital Mortality ; Retrospective Studies ; ROC Curve ; Prognosis ; Sepsis/diagnosis* ; Intensive Care Units