BACKGROUND Neutrophil-lymphocyte ratio(NLR),fibrosis index based on four factors(Fib4),aspartate aminotransferase-to-platelet ratio index(APRI)can be used for prognostic evaluation of hepatocellular carcinoma.However,...BACKGROUND Neutrophil-lymphocyte ratio(NLR),fibrosis index based on four factors(Fib4),aspartate aminotransferase-to-platelet ratio index(APRI)can be used for prognostic evaluation of hepatocellular carcinoma.However,no study has established an individualized prediction model for the prognosis of hepatocellular carcinoma based on these factors.AIM To screen the factors that affect the prognosis of hepatocellular carcinoma and establish a nomogram model that predicts postoperative liver failure after hepatic resection in patients with hepatocellular carcinoma.METHODS In total,220 patients with hepatocellular carcinoma treated in our hospital from January 2022 to January 2023 were selected.They were divided into 154 participants in the modeling cohort,and 66 in the validation cohort.Comparative analysis of the changes in NLR,Fib4,and APRI levels in 154 patients with hepatocellular carcinoma before liver resection and at 3 mo,6 mo,and 12 mo postoperatively was conducted.Binary logistic regression to analyze the influencing factors on the occurrence of liver failure in hepatocellular carcinoma patients,roadmap prediction modeling,and validation,patient work characteristic curves(ROCs)to evaluate the predictive efficacy of the model,calibration curves to assess the consistency,and decision curve analysis(DCA)to evaluate the model’s validity were also conducted.RESULTS Binary logistic regression showed that Child-Pugh grading,Surgical site,NLR,Fib4,and APRI were all risk factors for liver failure after hepatic resection in patients with hepatocellular carcinoma.The modeling cohort built a column-line graph model,and the area under the ROC curve was 0.986[95%confidence in terval(CI):0.963-1.000].The patients in the validation cohort utilized the column-line graph to predict the probability of survival in the validation cohort and plotted the ROC curve with an area under the curve of the model of 0.692(95%CI:0.548-0.837).The deviation of the actual outcome curves from the calibration curves of the column-line plots generated by the modeling and validation cohorts was small,and the DCA confirmed the validity.CONCLUSION NLR,Fib4,and APRI independently influence posthepatectomy liver failure in patients with hepatocellular carcinoma.The column-line graph prediction model exhibited strong prognostic capability,with substantial concordance between predicted and actual events.展开更多
文摘BACKGROUND Neutrophil-lymphocyte ratio(NLR),fibrosis index based on four factors(Fib4),aspartate aminotransferase-to-platelet ratio index(APRI)can be used for prognostic evaluation of hepatocellular carcinoma.However,no study has established an individualized prediction model for the prognosis of hepatocellular carcinoma based on these factors.AIM To screen the factors that affect the prognosis of hepatocellular carcinoma and establish a nomogram model that predicts postoperative liver failure after hepatic resection in patients with hepatocellular carcinoma.METHODS In total,220 patients with hepatocellular carcinoma treated in our hospital from January 2022 to January 2023 were selected.They were divided into 154 participants in the modeling cohort,and 66 in the validation cohort.Comparative analysis of the changes in NLR,Fib4,and APRI levels in 154 patients with hepatocellular carcinoma before liver resection and at 3 mo,6 mo,and 12 mo postoperatively was conducted.Binary logistic regression to analyze the influencing factors on the occurrence of liver failure in hepatocellular carcinoma patients,roadmap prediction modeling,and validation,patient work characteristic curves(ROCs)to evaluate the predictive efficacy of the model,calibration curves to assess the consistency,and decision curve analysis(DCA)to evaluate the model’s validity were also conducted.RESULTS Binary logistic regression showed that Child-Pugh grading,Surgical site,NLR,Fib4,and APRI were all risk factors for liver failure after hepatic resection in patients with hepatocellular carcinoma.The modeling cohort built a column-line graph model,and the area under the ROC curve was 0.986[95%confidence in terval(CI):0.963-1.000].The patients in the validation cohort utilized the column-line graph to predict the probability of survival in the validation cohort and plotted the ROC curve with an area under the curve of the model of 0.692(95%CI:0.548-0.837).The deviation of the actual outcome curves from the calibration curves of the column-line plots generated by the modeling and validation cohorts was small,and the DCA confirmed the validity.CONCLUSION NLR,Fib4,and APRI independently influence posthepatectomy liver failure in patients with hepatocellular carcinoma.The column-line graph prediction model exhibited strong prognostic capability,with substantial concordance between predicted and actual events.
文摘介绍了基于 Auto CAD环境下的简单线型、复合线型及填充图案的定义格式及开发方法 ,阐述了复合线型定义中形的定义格式及源文件的创建和编译方法 ,并应用于地质平面图、剖面图中部分常用线型及填充图案的开发 ,建立了标准地质线型库及填充图案库开发模式 ,实现了地质矢量图计算机处理的标准化、专业化和规范化 ,增强了 Auto
