Objective:To construct a nomogram model for predicting the prognosis of colorectal cancer patients based on preoperative fibrinogen(Fbg),platelet to albumin ratio(PAR)and carbohydrate antigen 199(CA199).Methods:In thi...Objective:To construct a nomogram model for predicting the prognosis of colorectal cancer patients based on preoperative fibrinogen(Fbg),platelet to albumin ratio(PAR)and carbohydrate antigen 199(CA199).Methods:In this retrospective study,we included 323 patients who underwent colorectal cancer(CRC)surgery in our hospital.The preoperative test indexes and relevant clinicopathological data of the patients were collected.According to the cut-off value of Fbg and PAR calculated from the receiver operating characteristic(ROC)curve,they were divided into the high and low expression groups.Univariate and multivariate Cox proportional hazards models were used to screen independent prognostic factors which were used to construct a nomogram.Results:According to ROC curve,the cut-off values of Fbg and PAR were 2.80 and 6.05.Multivariate Cox regression analysis showed that Fbg,PAR,CA199,TNM stage and grade were independent risk factors affecting the prognosis of patients(P<0.05).Fbg,PAR,and CA199 jointly built the risk score that was included into the nomogram.The area under the curve(AUC)in the ROC of the training and verification set was greater than 0.6.The calibration curve and ideal curve fit well.Conclusion:The nomogram based on Fbg,PAR and CA199 has well accuracy and can provide individualized prediction for the overall survival of CRC patients.展开更多
基金National Natural Science Foundation of China(No.81872275)High Level Health Talents of Jiangsu Provincial Health Commission(No.LGY2018017)Applied Basic Research Project of Changzhou Science and Technology Bureau(No.CJ20220006)。
文摘Objective:To construct a nomogram model for predicting the prognosis of colorectal cancer patients based on preoperative fibrinogen(Fbg),platelet to albumin ratio(PAR)and carbohydrate antigen 199(CA199).Methods:In this retrospective study,we included 323 patients who underwent colorectal cancer(CRC)surgery in our hospital.The preoperative test indexes and relevant clinicopathological data of the patients were collected.According to the cut-off value of Fbg and PAR calculated from the receiver operating characteristic(ROC)curve,they were divided into the high and low expression groups.Univariate and multivariate Cox proportional hazards models were used to screen independent prognostic factors which were used to construct a nomogram.Results:According to ROC curve,the cut-off values of Fbg and PAR were 2.80 and 6.05.Multivariate Cox regression analysis showed that Fbg,PAR,CA199,TNM stage and grade were independent risk factors affecting the prognosis of patients(P<0.05).Fbg,PAR,and CA199 jointly built the risk score that was included into the nomogram.The area under the curve(AUC)in the ROC of the training and verification set was greater than 0.6.The calibration curve and ideal curve fit well.Conclusion:The nomogram based on Fbg,PAR and CA199 has well accuracy and can provide individualized prediction for the overall survival of CRC patients.
