The Nomogram model in predicting prognosis of hepatocellular carcinoma patients based on four inflammatory markers
10.3760/cma.j.cn113884-20200309-00120
- VernacularTitle:基于四种炎症反应标志物构建预测肝细胞癌患者预后的Nomogram模型
- Author:
Zhiqiang FENG
1
;
Zixuan YANG
;
Shanshan HAN
;
Yutao SHANG
;
Junhui ZHAO
;
Wanqing GU
;
Qingmin YANG
;
Jieying WU
;
Jun SHENG
;
Xiaodong GUO
Author Information
1. 北京朝阳急诊抢救中心普通外科 100020
- From:
Chinese Journal of Hepatobiliary Surgery
2020;26(6):443-448
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct a Nomogram model in predicting recurrence-free survival (RFS) and overall survival (OS) at six months, one year and two years after hepatocellular carcinoma (HCC) resection by using inflammatory markers combined with other routine clinical indicators.Methods:The data of 314 patients with HCC who underwent first time hepatectomy at Beijing Chaoyang Emergency Rescue Center and Air Force Characteristic Medical Center from January 2013 to January 2018 were analyzed. HCC patients who underwent hepatectomy at the First Medical Center of PLA General Hospital from January 2011 to January 2016 ( n=106) were used as the external validation group. Univariate and multivariate Cox proportional risk model was used to analyze independent risk factors of recurrence and death in HCC patients. A Nomogram model was constructed based on independent risk factors. Validation of the efficacy of the Nomogram model was done based on external data. Results:In the experimental group, 174 patients relapsed. The median RFS was 26 months. The 6 months, 1 year and 2 years RFS were 26.8%, 43.9%, and 68.8%, respectively. A total of 142 patients had died. The median survival time was 30 months. The 6 months, 1 year and 2 years OS were 5.9%, 23.6% and 63.1%, respectively. In the external validation group, 63 patients had developed recurrence, with a median RFS time of 28 months. The 6 months, 1 year and 2 years RFS were 26.4%, 45.3%, 54.7%, respectively. The median survival time was 31 months. The 6 months, 1 year and 2 years OS were 7.5%, 25.5%, 46.6%, respectively. Tumor size (>6.0 cm, HR: 1.447), vascular invasion ( HR: 1.408), TBil (>0.94 mg/dl, HR: 1.949), NLR (>2.54, HR: 2.843), AGR (≤0.88, HR: 2.447) were independent risk factors of HCC recurrence ( P<0.05). Tumor size (>6.0 cm, HR: 2.207), vascular invasion ( HR: 1.529), and NLR (>2.54, HR: 2.708) were independent risk factors of death for HCC patients ( P<0.05). The C-indexes of half-year, one-year and two-year RFS were 0.764 (95% CI: 0.677-0.854), 0.710 (95% CI: 0.615-0.824) and 0.673 (95% CI: 0.601-0.786), respectively. The C-indexes of half-year OS, one-year OS and two-year OS were 0.729 (95% CI: 0.648-0.841), 0.708 (95% CI: 0.608-0.813) and 0.664 (95% CI: 0.618-0.771), respectively. Conclusion:In this study, the construction of a Nomogram model in predicting prognosis of HCC patients was helpful to guide clinicians in improving preoperative treatment plans and in providing ideas for individualized treatment of patients.
