目的:基于术前纤维蛋白原(fibrinogen,Fbg)、血小板/白蛋白(platelet to albumin ratio,PAR)及糖类抗原199(carbohydrate antigen 19-9,CA199)构建结直肠癌患者预后的列线图预测模型。方法:回顾性纳入我院行结直肠癌(colorectal cancer,...目的:基于术前纤维蛋白原(fibrinogen,Fbg)、血小板/白蛋白(platelet to albumin ratio,PAR)及糖类抗原199(carbohydrate antigen 19-9,CA199)构建结直肠癌患者预后的列线图预测模型。方法:回顾性纳入我院行结直肠癌(colorectal cancer,CRC)手术的323例患者,收集患者的术前检验指标及相关临床病理资料,并根据受试者工作特征曲线(receiver operating characteristic curve,ROC)计算出的cut-off值,分为Fbg、PAR高低表达组,单因素及多因素COX比例风险模型筛选独立预后因素,构建列线图预测模型,评价预测价值。结果:通过ROC曲线得出Fbg、PAR的cut-off值分别为2.80、6.05。多因素COX回归分析结果示:Fbg、PAR、CA199、TNM分期、分化程度为影响CRC患者预后的独立危险因素(P<0.05),将Fbg、PAR、CA199联合构建出风险评分并纳入列线图中,训练集及验证集ROC中曲线下面积(area under the curve, AUC)均大于0.6,校准曲线与理想曲线拟合良好。结论:基于Fbg、PAR、CA199构建的列线图准确性良好,可为CRC患者总生存期提供个体化预测。展开更多
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
文摘目的:基于术前纤维蛋白原(fibrinogen,Fbg)、血小板/白蛋白(platelet to albumin ratio,PAR)及糖类抗原199(carbohydrate antigen 19-9,CA199)构建结直肠癌患者预后的列线图预测模型。方法:回顾性纳入我院行结直肠癌(colorectal cancer,CRC)手术的323例患者,收集患者的术前检验指标及相关临床病理资料,并根据受试者工作特征曲线(receiver operating characteristic curve,ROC)计算出的cut-off值,分为Fbg、PAR高低表达组,单因素及多因素COX比例风险模型筛选独立预后因素,构建列线图预测模型,评价预测价值。结果:通过ROC曲线得出Fbg、PAR的cut-off值分别为2.80、6.05。多因素COX回归分析结果示:Fbg、PAR、CA199、TNM分期、分化程度为影响CRC患者预后的独立危险因素(P<0.05),将Fbg、PAR、CA199联合构建出风险评分并纳入列线图中,训练集及验证集ROC中曲线下面积(area under the curve, AUC)均大于0.6,校准曲线与理想曲线拟合良好。结论:基于Fbg、PAR、CA199构建的列线图准确性良好,可为CRC患者总生存期提供个体化预测。
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.
