Objective:To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value.Methods:This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group ( n=38) and the survival group ( n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model′s differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results:Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors ( P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions:The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.

Objective:To explore the risk factors of short-term prognosis of severe Budd-Chiari syndrome (BCS) patients,established and verified the nomogram prediction model for these BCS patients and evaluated its clinical application value.Methods:This study is a retrospective cohort study. The clinical data of 171 patients with severe BCS diagnosed were retrospectively analyzed in the Department of Hepatopancreatobiliary Surgery First Affiliated Hospital of Zhengzhou University from January 2018 to December 2023. There were 105 males and 66 females, aged (52.1±12.8) years (range: 18 to 79 years). The patients were divided into two groups based on whether they died within 28 days: the death group ( n=38) and the survival group ( n=133). The risk factors for short-term death of patients were analyzed,and independent risk factors were screened by univariate and multivariate analysis. Furthermore,these factors were used to establish the nomogram prediction model. The area under the curve(AUC),the Bootstrap Resampling,the Hosmer-Lemeshow test and the Decision Curve Analysis(DCA) were used to verify the model′s differentiation,internal verification,calibration degree and clinical effectiveness,respectively. Results:Univariate and multivariate Logistics regression analysis showed that the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time were independent risk factors ( P<0.05). The above factors were used to successfully establish the prediction model with 0.908 of AUC and 0.895 of the internal verification of AUC,indicating that the predictive model was valuable. The 0.663 P-values in the Hosmer-Lemeshow test indicated the high calibration degree of the model. The clinical effectiveness of the model was proved by the 18% clinical benefit population using the DCA curve with the 17% probability threshold. Conclusions:The independent risk factors are the history of hepatic encephalopathy,white blood cell,glomerular filtration rate and prothrombin time. An adequate basis was acquired by establishing a nomogram prediction model of the short-term prognosis of severe BCS,which was helpful for early clinical screening and identification of high-risk patients with severe BCS who could die in the short term and timely providing timely intervention measures for improving the prognosis.

Resectable non-small cell lung cancer (NSCLC) is currently considered as a potentially curable disease. Surgery is still the main treatment mode for resectable NSCLC, but quite a few patients will have local recurrence and distant metastasis after surgery. Therefore, preoperative and postoperative adjuvant therapy may be necessary in order to improve the long term outcome. Immunocheckpoint inhibitor has been demonstrated clinically to be effective andapproved as first- or second-line treatment agent in metastatic NSCLC or partially locally advanced NSCLC. The remarkable efficacy of immunotherapy for advanced lung cancer has attracted more and more attention from the researchers to the role of immunotherapy as neoadjuvent therapy in resectable non-small cell lung cancer. This article systematically reviewed the clinical trials of neoadjuvant immunotherapy for resectable NSCLC before surgery.

This article reviewed other literatures in the quality management of clinical trials and summarized author’s experience in quality control of clinical trials which the author conducted as principle investigator over the past years. It provides a reference for fresh investigators before they conduct their own clinical trials.

Objective To explore the effect and associated mechanism of fluvastatin combined with losartan on the expression of vascular endothelial growth factor (VEGF) in human podocytes induced by angiotensin (Ang)Ⅱ.Methods The differentiated human podocytes were cultured with various concentrations of Ang Ⅱ (10-9 to 10-5 mol/L) in vitro,followed by treatment of fluvastatin (10-7,10-6 and 10-5 mol/L),losartan (10-7,10-6 and 10-5 mol/L),extracellular signal-regulated kinase (ERK) inhibitor PD98059,and combination of fluvastatin and lolsartan.Expressions of VEGF and phosphorylation (p)ERK1/2 protein in podocytes were detected by Western blotting.RT-PCR was used to examine VEGF mRNA expression (P＜0.01).Results Ang Ⅱ up-regulated the expressions of VEGF and p-ERK1/2 in time-and dose-dependent manner.Above elevated expressions of VEGF and p-ERK1/2 induced by Ang Ⅱ could be down-regulated by fluvastatin,losartan and PD98059 respectively (P＜0.05).More obvious reduction of above expressions was found in combination of fluvastatin and losartan as compared to single agent (P ＜0.05).Conclusions Either fluvastatin or losartan can down-regulate the over-expression of VEGF and p-ERK1/2 induced by Ang Ⅱ in human podocytes,and their combination has a cooperative effect.The ERK signaling pathway may be one of the mechanisms of their renal protective effects.