Objective: To explore the mediating effect of rumination between life events and learning value doubt among junior high school students, so as to provide reference for the psychological health education of junior high school students. Methods: From March to July 2023, a total of 930 junior high school students from Guangdong, Jiangsu and Hebei were selected by a combination of convenient sampling methods. Participants completed the Scales of Value of Learning (SVL), Ruminative Response scale (RRS) and Adolescent Self rating Life Events Checklist (ASLEC). The t test and ANOVA were used for inter group comparisons and Pearson correlation analysis was used for correlation analysis and bootstrap method was used for mediating effect test. Results: The life events of junior middle school students were positively correlated with learning value doubt ( r =0.18), rumination ( r = 0.65 ) and its three dimensions (brooding, reflective pondering, and symptom focused rumination) ( r =0.60, 0.59, 0.66). Learning value doubt was positively correlated with rumination ( r =0.15) and its three dimensions ( r =0.07, 0.13, 0.19) ( P <0.05).The symptom focused rumination (effect size=0.09, 95% CI =0.06-0.11) and brooding (effect size=-0.07, 95% CI =-0.09--0.04) dimensions partially mediated the relationship between life events and learning value doubt. In the two influential pathways, symptom focused rumination exerts a stronger impact, and the difference was statistically significant (effect size=0.15, 95% CI =0.11- 0.20 , excluding 0) ( P <0.05). Conclusions Life events experienced by junior high school students can positively predict learning value doubt through symptom focused rumination, and negatively predict learning value doubt through brooding. Active attention should be paid to the mental health status of junior high school students, intervene promptly when they experience life events, reduce symptom based rumination, and improve their learning enthusiasm.

Objective:To use structural equation modeling to identify the indicator variables of intrinsic ability vitality among the elderly population.Methods:The study collected data on seven variables commonly used to measure vitality and mobility, including body mass index, weight loss, calf circumference, grip strength, gait speed at 4 m, up and go, and up and sit, from the comprehensive geriatric assessment(CGA)of patients admitted to the Department of Geriatrics of Beijing Hospital between May 2020 and May 2022.The study used a structural equation model to explore and verify the indicator variables of activity, utilizing exploratory factor analysis, confirmatory factor analysis, and correlation analysis.Results:The study conducted an exploratory factor analysis on seven variables, which resulted in two latent variables named vitality and locomotion.Body mass index, weight loss, and calf circumference were found to reflect vitality, while grip strength, 4 m-walking speed, time up and go test, and standing up and down test were found to reflect locomotion.Confirmatory factor analysis indicated that the measurement model was well-constructed and the indicator variables of vitality and locomotion were reasonably assigned[ χ2/ df=35/13, CFI=0.96, RMSEA(95% CI)=0.06(0.04, 0.08)].Correlation analysis showed that grip strength had a stronger correlation with locomotion-related variables than vitality-related variables( for grip strength and locomotion=0.33, for grip strength and vitality=0.21). Conclusions:The intrinsic ability and vitality of elderly individuals can be assessed through various means, including body mass index, weight loss, and calf circumference.However, grip strength is considered a more appropriate measure for reflecting locomotion rather than overall vitality.

Objective:To investigate the effect of transurethral green laser prostate enucleation (GreenLEP) in the treatment of benign prostate hyperplasia (BPH) with detrusor underactivity (DU).Methods:The clinical data of 157 BPH patients treated with GreenLEP at Zhejiang Provincial People's Hospital from June 2019 to June 2020 were retrospectively analysed. The average age of the patients was (73.2±7.9) years old, with disease duration of 4(2, 8) years. Prior to surgery, all patients underwent comprehensive urodynamic studies and prostate ultrasonography (or enhanced MRI). Preoperative prostate volume was 42.1(34.2, 59.4) ml, international prostate symptom score (IPSS) was (27.9±3.4), quality of life (QOL) score was (5.1±0.8), preoperative residual urine volume (PVR) was 40.0(20.0, 80.0) ml, and preoperative maximum urinary flow rate (Q max) was 4.0(2.0, 7.0) ml/s. Patients were stratified into DU and non-DU groups using a bladder contractility index (BCI) threshold of less than 100 to diagnose DU. The cohort comprised 76 individuals in the DU group and 81 in the non-DU group. At the three-month postoperative juncture, a follow-up assessment was conducted on the patients, focusing on the evolution of subjective metrics (IPSS, QOL) and objective parameters (PVR, Q max). This study defined successful treatment outcomes at the 3-month mark as achieving PVR<20 ml and Q max>10 ml/s. Cases not meeting these criteria were categorized as treatment failure. Based on treatment outcomes, receiver operator characteristic (ROC) curve were plotted to identify the optimal cutoff value of BCI for predicting treatment efficacy. Subsequently, DU patients were classified into mild and severe DU groups based on this optimal BCI threshold. The differences of subjective indicators (IPSS, QOL) and objective parameters (PVR, Q max) preoperatively among non-DU, mild DU, and severe DU groups, as well as changes in these indices three months postoperatively were analyzed. Results:All 157 surgeries were successfully completed, with a median hospital stay of 6(5, 8) days. At the 3-month postoperative follow-up, 78 patients were deemed treatment successes and 3 as failures in non-DU group, 64 were successful and 12 failed in DU group. Utilizing ROC curve analysis, the BCI was optimally set at 57.5. This stratification resulted in 56 cases classified as mild DU (57.5≤BCI<100) group and 20 cases as severe DU (BCI<57.5) group. A comparative analysis of the three patient cohorts, revealed no significant statistical variation in terms of age, disease duration, or prostate volume ( P>0.05). In the non-DU, mild DU, and severe DU groups, IPSS were (26.8±3.4), (28.6±3.0), and (30.6±2.4) respectively, QOL sores were (4.9±0.9), (5.2±0.7), and (5.7±0.5) respectively, PVR volumes were 50.0(20.0, 90.0), 20.0(10.0, 50.0), and 60.0(27.5, 165.0) ml respectively, Q max were 4.0(2.0, 7.0), 5.0(4.0, 6.0), and 0(0, 2.3) ml/s respectively. Preoperative IPSS and QOL were significantly lower in the non-DU group compared with mild and severe DU groups ( P<0.05). Mild DU group had lower preoperative IPSS and QOL than the severe DU group ( P<0.05). Preoperative PVR in the mild DU group was less than that in both non-DU and severe DU groups ( P<0.05), but there was no statistically significant difference in preoperative PVR between non-DU and severe DU groups ( P>0.05). Preoperative Q maxof non-DU and mild DU groups was significantly higher than that of severe DU group ( P<0.05), with no significant difference between non-DU and mild DU ( P>0.05). Three months after surgery, IPSS scores of non-DU group, mild DU group and severe DU group were (12.5±4.7), (14.9±3.6) and (18.8±4.1), respectively. QOL scores of the 3 groups improved to (1.1±0.4), (1.2±0.5) and (1.9±1.0), respectively. PVR was 0 in non-DU and mild DU, and 20.0 (19.5, 61.3) ml in severe DU. Q max of the 3 groups were improved to 22.0(18.0, 27.0), 17.0(14.0, 22.3), and 9.0(6.8, 13.0) ml/s, respectively. Significant improvements of subjective symptoms (IPSS, QOL) and objective parameters (PVR, Q max) were observed in non-DU and mild DU group compared with preoperative( P<0.05). Significant improvements of IPSS, QOL and Q max ( P<0.05) but not PVR ( P=0.14)were observed in severe DU group. Additionally, significant differences were noted in PVR and Q max changes among the three groups ( P<0.05), but not in IPSS and QOL changes ( P>0.05). The absolute value of PVR and Q max changes in the non-DU group were higher than those in the mild DU group and the severe DU group ( P<0.05). Additionally, the change of Q max in mild DU group was significantly higher than that in severe DU group ( P<0.05). Conclusions:BPH patients with different degrees of DU can benefit from GreenLEP surgery, but for BPH patients with severe DU (BCI < 57.5), the improvements in PVR and Q max are less than that in the non-DU group.

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.