Peng Ding, Zhang Cui-Jian, Tang Qi, Zhang Lei, Yang Kai-Wei, Yu Xiao-Teng, Gong Yanqing, Li Xue-Song, He Zhi-Song, Zhou Li-Qun
Department of Urology, Peking University First Hospital, No. 8, Xishiku Street, Xicheng District, Beijing, 100034, China.
Institute of Urology, Peking University, Beijing, 100034, China.
BMC Urol. 2018 Mar 15;18(1):20. doi: 10.1186/s12894-018-0333-8.
To evaluate the prognostic significance of the novel index combining preoperative hemoglobin and albumin levels and lymphocyte and platelet counts (HALP) in renal cell carcinoma (RCC) patients.
We enrolled 1360 patients who underwent nephrectomy in our institution from 2001 to 2010. The cutoff values for HALP, neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio were defined by using X-tile software. Survival was analyzed by the Kaplan-Meier method, with differences analyzed by the log-rank test. Multivariate Cox proportional-hazards model was used to evaluate the prognostic significance of HALP for RCC.
Low HALP was significantly associated with worse clinicopathologic features. Kaplan-Meier and log-rank tests revealed that HALP was strongly correlated with cancer specific survival (P < 0.001) and Cox multivariate analysis demonstrated that preoperative HALP was independent prognostic factor for cancer specific survival (HR = 1.838, 95%CI:1.260-2.681, P = 0.002). On predicting prognosis by nomogram, the risk model including TNM stage, Fuhrman grade and HALP score was more accurate than only use of TNM staging.
HALP was closely associated with clinicopathologic features and was an independent prognostic factor of cancer-specific survival for RCC patients undergoing nephrectomy. A nomogram based on HALP could accurately predict prognosis of RCC.
评估术前血红蛋白和白蛋白水平与淋巴细胞及血小板计数相结合的新指标(HALP)在肾细胞癌(RCC)患者中的预后意义。
我们纳入了2001年至2010年在本机构接受肾切除术的1360例患者。使用X-tile软件确定HALP、中性粒细胞与淋巴细胞比值以及血小板与淋巴细胞比值的临界值。采用Kaplan-Meier法分析生存率,通过对数秩检验分析差异。使用多变量Cox比例风险模型评估HALP对RCC的预后意义。
低HALP与较差的临床病理特征显著相关。Kaplan-Meier法和对数秩检验显示HALP与癌症特异性生存密切相关(P < 0.001),Cox多变量分析表明术前HALP是癌症特异性生存的独立预后因素(HR = 1.838,95%CI:1.260 - 2.681,P = 0.002)。通过列线图预测预后时,包含TNM分期、Fuhrman分级和HALP评分的风险模型比仅使用TNM分期更准确。
HALP与临床病理特征密切相关,是接受肾切除术的RCC患者癌症特异性生存的独立预后因素。基于HALP的列线图可准确预测RCC的预后。