Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, 610041, PR China.
Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, PR China.
Int J Surg. 2019 Sep;69:32-42. doi: 10.1016/j.ijsu.2019.07.008. Epub 2019 Jul 15.
To evaluate prognostic significance of albumin-to-alkaline phosphatase ratio (AAPR) for patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy for non-small-cell lung cancer (NSCLC) by a propensity score-matching (PSM) analysis.
This PSM study was conducted on the prospectively-maintained database in our institution between December 2013 and March 2015. Overall survival analyses and further subgroup analyses were both performed to distinguish the differences in postoperative survival between patients stratified by an optimal cutoff of AAPR. Multivariable Cox proportional hazards regression models were established to determine the independent prognostic factors.
There were 390 patients with operable NSCLCs included. An AAPR of 0.57 was identified as the optimal cutoff regarding to postoperative survival. Both overall survival (OS) and disease-free survival (DFS) in patients with AAPR≤0.57 were significantly shortened compared to those in patient with AAPR>0.57 (Log-rank P < 0.001). Patients with AAPR≤0.57 had significantly lower rates of OS and DFS than those of patients with AAPR>0.57 (P < 0.001). These differences still remained significant after subgroup analyses and PSM analyses. Multivariate analyses on the entire cohort and the PSM cohort commonly indicated that low preoperative AAPR could be an independent prognostic factor for unfavorable OS and DFS of resected NSCLCs.
AAPR can serve as a novel risk stratification tool to refine prognostic prediction for surgical NSCLC. It may help surgeons to screen high-surgical-risk patients and further formulate individualized treatment schemes.
通过倾向评分匹配(PSM)分析评估白蛋白-碱性磷酸酶比值(AAPR)对接受电视辅助胸腔镜手术(VATS)肺叶切除术治疗非小细胞肺癌(NSCLC)患者的预后意义。
本 PSM 研究基于我院 2013 年 12 月至 2015 年 3 月期间前瞻性维护的数据库进行。进行了总体生存分析和进一步的亚组分析,以区分根据 AAPR 的最佳临界值分层的患者术后生存差异。建立多变量 Cox 比例风险回归模型以确定独立的预后因素。
共纳入 390 例可手术治疗的 NSCLC 患者。AAPR 为 0.57 被确定为术后生存的最佳临界值。与 AAPR>0.57 的患者相比,AAPR≤0.57 的患者的总生存(OS)和无病生存(DFS)均明显缩短(对数秩 P<0.001)。AAPR≤0.57 的患者的 OS 和 DFS 率显著低于 AAPR>0.57 的患者(P<0.001)。在亚组分析和 PSM 分析后,这些差异仍然具有统计学意义。对整个队列和 PSM 队列的多变量分析均表明,术前低 AAPR 可能是切除 NSCLC 患者 OS 和 DFS 不良的独立预后因素。
AAPR 可作为一种新的风险分层工具,用于改善 NSCLC 手术的预后预测。它可以帮助外科医生筛选高手术风险患者,并进一步制定个体化治疗方案。