BACKGROUND Perihilar cholangiocarcinoma(pCCA)has a poor prognosis and urgently needs a better predictive method.The predictive value of the age-adjusted Charlson comorbidity index(ACCI)for the long-term prognosis of p...BACKGROUND Perihilar cholangiocarcinoma(pCCA)has a poor prognosis and urgently needs a better predictive method.The predictive value of the age-adjusted Charlson comorbidity index(ACCI)for the long-term prognosis of patients with multiple malignancies was recently reported.However,pCCA is one of the most surgically difficult gastrointestinal tumors with the poorest prognosis,and the value of the ACCI for the prognosis of pCCA patients after curative resection is unclear.AIM To evaluate the prognostic value of the ACCI and to design an online clinical model for pCCA patients.METHODS Consecutive pCCA patients after curative resection between 2010 and 2019 were enrolled from a multicenter database.The patients were randomly assigned 3:1 to training and validation cohorts.In the training and validation cohorts,all patients were divided into low-,moderate-,and high-ACCI groups.Kaplan-Meier curves were used to determine the impact of the ACCI on overall survival(OS)for pCCA patients,and multivariate Cox regression analysis was used to determine the independent risk factors affecting OS.An online clinical model based on the ACCI was developed and validated.The concordance index(C-index),calibration curve,and receiver operating characteristic(ROC)curve were used to evaluate the predictive performance and fit of this model.RESULTS A total of 325 patients were included.There were 244 patients in the training cohort and 81 patients in the validation cohort.In the training cohort,116,91 and 37 patients were classified into the low-,moderate-and high-ACCI groups.The Kaplan-Meier curves showed that patients in the moderate-and high-ACCI groups had worse survival rates than those in the low-ACCI group.Multivariable analysis revealed that moderate and high ACCI scores were independently associated with OS in pCCA patients after curative resection.In addition,an online clinical model was developed that had ideal C-indexes of 0.725 and 0.675 for predicting OS in the training and validation cohorts.The calibration curve and ROC curve indicated that the model had a good fit and prediction performance.CONCLUSION A high ACCI score may predict poor long-term survival in pCCA patients after curative resection.High-risk patients screened by the ACCI-based model should be given more clinical attention in terms of the management of comorbidities and postoperative follow-up.展开更多
According to the European Association of Urology （EAU） guidelines, a life expectancy of〉 10 years is considered an important factor in the treatment of prostate cancer. The Charlson score is used to predict mortali...According to the European Association of Urology （EAU） guidelines, a life expectancy of〉 10 years is considered an important factor in the treatment of prostate cancer. The Charlson score is used to predict mortality based on comorbidities. The purpose of this study was to investigate the relationship between age, Charlson score and outcome in patients with cT3a prostate cancer. Between 1987 and 2004, 200 patients, who were with clinical T3a prostate cancer and who underwent radical prostatectomy （RP）, were previously detected by digital rectal examination （DRE）. Patients were categorized into two age groups （〈 65 and≥65 years old）. Patients were also divided into two groups according to Charlson score （ = 0 and ≥ 1）. Both age and Charlson score were analyzed regarding their predictive power of patients＇ outcomes. The mean follow-up period was 70.6 months, and the mean age of patients was 63.3 years. In all, 106 patients were 〈 65 years old and 94 patients were ≥65 years old. Age was a significant predictor of overall survival （OS）. A Charlson score of 0 was found in 110 patients, and of ≥ 1 in 90 patients. Charlson score was not a significant predictor of biochemical progression-free survival （BPFS）, clinical progression-free survival （CPFS） or OS. Cox multivariate analysis showed that margin status was a significant independent factor in BPFS, and cancer volume was a significant independent factor in CPFS. Charlson score does not influence the outcome in patients with clinical locally advanced prostate cancer. Age may influence OS. RP can be performed in motivated healthy older patients. However, the patients need to be counseled regarding possible surgery-related side effects, such as urinary incontinence and erectile dysfunction, which are age- and comorbidity-dependent.展开更多
基金Supported by National Natural Science Foundation of China,No. 81874211Chongqing Technology Innovation and Application Development Special Key Project,No. CSTC2021jscx-gksb-N0009
文摘BACKGROUND Perihilar cholangiocarcinoma(pCCA)has a poor prognosis and urgently needs a better predictive method.The predictive value of the age-adjusted Charlson comorbidity index(ACCI)for the long-term prognosis of patients with multiple malignancies was recently reported.However,pCCA is one of the most surgically difficult gastrointestinal tumors with the poorest prognosis,and the value of the ACCI for the prognosis of pCCA patients after curative resection is unclear.AIM To evaluate the prognostic value of the ACCI and to design an online clinical model for pCCA patients.METHODS Consecutive pCCA patients after curative resection between 2010 and 2019 were enrolled from a multicenter database.The patients were randomly assigned 3:1 to training and validation cohorts.In the training and validation cohorts,all patients were divided into low-,moderate-,and high-ACCI groups.Kaplan-Meier curves were used to determine the impact of the ACCI on overall survival(OS)for pCCA patients,and multivariate Cox regression analysis was used to determine the independent risk factors affecting OS.An online clinical model based on the ACCI was developed and validated.The concordance index(C-index),calibration curve,and receiver operating characteristic(ROC)curve were used to evaluate the predictive performance and fit of this model.RESULTS A total of 325 patients were included.There were 244 patients in the training cohort and 81 patients in the validation cohort.In the training cohort,116,91 and 37 patients were classified into the low-,moderate-and high-ACCI groups.The Kaplan-Meier curves showed that patients in the moderate-and high-ACCI groups had worse survival rates than those in the low-ACCI group.Multivariable analysis revealed that moderate and high ACCI scores were independently associated with OS in pCCA patients after curative resection.In addition,an online clinical model was developed that had ideal C-indexes of 0.725 and 0.675 for predicting OS in the training and validation cohorts.The calibration curve and ROC curve indicated that the model had a good fit and prediction performance.CONCLUSION A high ACCI score may predict poor long-term survival in pCCA patients after curative resection.High-risk patients screened by the ACCI-based model should be given more clinical attention in terms of the management of comorbidities and postoperative follow-up.
文摘According to the European Association of Urology （EAU） guidelines, a life expectancy of〉 10 years is considered an important factor in the treatment of prostate cancer. The Charlson score is used to predict mortality based on comorbidities. The purpose of this study was to investigate the relationship between age, Charlson score and outcome in patients with cT3a prostate cancer. Between 1987 and 2004, 200 patients, who were with clinical T3a prostate cancer and who underwent radical prostatectomy （RP）, were previously detected by digital rectal examination （DRE）. Patients were categorized into two age groups （〈 65 and≥65 years old）. Patients were also divided into two groups according to Charlson score （ = 0 and ≥ 1）. Both age and Charlson score were analyzed regarding their predictive power of patients＇ outcomes. The mean follow-up period was 70.6 months, and the mean age of patients was 63.3 years. In all, 106 patients were 〈 65 years old and 94 patients were ≥65 years old. Age was a significant predictor of overall survival （OS）. A Charlson score of 0 was found in 110 patients, and of ≥ 1 in 90 patients. Charlson score was not a significant predictor of biochemical progression-free survival （BPFS）, clinical progression-free survival （CPFS） or OS. Cox multivariate analysis showed that margin status was a significant independent factor in BPFS, and cancer volume was a significant independent factor in CPFS. Charlson score does not influence the outcome in patients with clinical locally advanced prostate cancer. Age may influence OS. RP can be performed in motivated healthy older patients. However, the patients need to be counseled regarding possible surgery-related side effects, such as urinary incontinence and erectile dysfunction, which are age- and comorbidity-dependent.
