Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To develop a prediction model for postoperative prognosis in patients with cholangiocarcinoma(CCA)based on the expression of silence information regulator 2(SIRT2).Methods:The differential expression of SIRT2 between CCA and normal tissues was analyzed using TCGA and GEO databases.Gene set enrichment analysis(GSEA)was used to explore potential mechanisms of SIRT2 in CCA.The expression of SIRT2 protein in CCA tissues and normal tissues(including 44 pairs of specimens)was also detected by immunohistochemistry(IHC)in 89 resectable CCA patients who underwent surgical treatment in the First Affiliated Hospital of Bengbu Medical College between January 2016 and December 2021.The relationship between SIRT2 expression and clinicopathological characteristics and prognosis of CCA patients was analyzed.A survival prediction model for patients with resectable CCA was constructed with COX regression results,the calibration curve and the time-dependent receiver operating characteristic curve(ROC)were used to evaluate the performance of the constructed model,and the predictive power between this model and the American Joint Committee on Cancer(AJCC)/TNM staging system(8th edition)was compared.Results:SIRT2 mRNA was overexpressed in CCA tissues as shown in TCGA and GEO databases.IHC staining showed that SIRT2 protein expression in CCA tissues was significantly higher than that in adjacent non-tumor tissues.GSEA results showed that elevated SIRT2 expression may be involved in multiple metabolism-related signaling pathway,such as fatty acid metabolism,oxidative phosphorylation and amino acid metabolism.SIRT2 expression was related to serum triglycerides level,tumor size and lymph node metastasis(all P<0.05).The survival analysis results showed that patients with higher SIRT2 expression had a significantly lower overall survival(OS)than patients with lower SIRT2 expression(P<0.05).Univariate COX regression analysis suggested that pathological differentiation,clinical stage,postoperative treatment and SIRT2 expression level were associated with the prognosis of CCA patients(all P<0.05).Multivariate regression analysis confirmed that clinical stage and SIRT2 expression level were independent predictors of OS in postoperative CCA patients(both P<0.05).A nomogram based on SIRT2 for prediction of survival in postoperative CCA patients was constructed.The C-index of the model was 0.675,and the area under the time-dependent ROC curve(AUC)for predicting survival in the first,second,and third years was 0.879,0.778,and 0.953,respectively,which were superior to those of AJCC/TNM staging system(8th Edition).Conclusions:SIRT2 is highly expressed in CCA tissues,which is associated with poor prognosis in patients with resectable CCA.The nomogram developed based on SIRT2 may have better predictive power than the AJCC/TNM staging system(8th edition)in prediction of survival of postoperative CCA patients.

Objective:To investigate the morbidity of cerebrovascular disease among residents ≥30 years in Pengzhou, Sichuan Province, and analyze the effect of physical activity level on the risk of morbidity of cerebrovascular disease.Methods:From 2004 to 2008, people from Pengzhou, Sichuan Province were randomly selected. All the local people aged 30-79 were asked to receive a questionnaire survey, physical examination, and long-term follow-up to determine the morbidity of cerebrovascular disease. The physical activity level and the morbidity of cerebrovascular disease were described, and Cox proportional hazard regression models were used to evaluate the association of domain-specific physical activity with the risk of morbidity of cerebrovascular disease.Results:In 55 126 participants, there were 5 290 new cases of cerebrovascular disease, with a cumulative incidence of 9.60%. After the adjustment for multiple confounding factors, multivariate Cox proportional hazard regression analysis showed that increased levels of occupational, transportation, and total physical activity reduced the risk of cerebrovascular disease and its subtypes (cerebral hemorrhage, cerebral infarction). The highest group of occupational physical activity level had the lowest risk of cerebrovascular disease, with a hazard ratio ( HR) value of 0.81 (95% CI: 0.75-0.88), the highest group of transportation physical activity level had the lowest risk of cerebrovascular disease, with an HR value of 0.84 (95% CI: 0.78-0.91), the highest group of total physical activity level had the lowest risk of cerebrovascular disease, with an HR value of 0.87 (95% CI: 0.80-0.94), compared with the lowest group of corresponding physical activity. No association was found between the household/leisure-time physical activity level and the risk of cerebrovascular disease and its subtypes (cerebral hemorrhage, cerebral infarction). Conclusions:In project areas of Pengzhou, Sichuan Province, increased physical activity has been associated with reduced morbidity of cerebrovascular disease and its subtypes (cerebral hemorrhage, cerebral infarction). Increased levels of physical activity in adults are encouraged for health benefits.

Sepsis-induced coagulopathy(SIC),a critical and potentially lethal condition arising from sepsis,results in endothelial damage and significant coagulation dysregulation,making it a major factor contributing to mortality among sepsis patients.Early diagnosis and treatment of SIC are expected to improve the prognosis of sepsis patients.In 2019,the International Society on Thrombosis and Hemostasis(ISTH)issued the first guidelines for the diagnosis and treatment of SIC,but there are no corresponding protocols in China.Therefore,Chinese Society of Thrombosis,Hemostasis and Critical Care,Chinese Medicine Education Association,and Chinese People's Liberation Army Professional Committee of Critical Care Medicine jointly formulated the"Chinese Expert Consensus on the Diagnosis and Treatment of Sepsis-induced Coagulopathy(2024 edition)."This consensus includes 5 parts:pathogenesis,classification,laboratory approaches,diagnosis and treatment,with a total of 14 evidence-based recommendations to guide clinical practice.