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Association of the age-adjusted Charlson Comorbidity Index and systemic inflammation with survival in gastric cancer patients after radical gastrectomy

医学 内科学 多元分析 全身炎症 癌症 胃切除术 查尔森共病指数 胃肠病学 比例危险模型 共病 单变量分析 阶段(地层学) 多元统计 逻辑回归 肿瘤科 炎症 外科 古生物学 统计 生物 数学
作者
Jian‐Xian Lin,Yingqi Huang,Jian‐Wei Xie,Jia-Bin Wang,Jun Lü,Qi‐Yue Chen,Long‐Long Cao,Mi Lin,Ru‐Hong Tu,Ze‐Ning Huang,Ju‐Li Lin,Chao‐Hui Zheng,Chang‐Ming Huang,Ping Li
出处
期刊:Ejso [Elsevier BV]
卷期号:45 (12): 2465-2472 被引量:29
标识
DOI:10.1016/j.ejso.2019.07.010
摘要

To examine the associations of the Age-Adjusted Charlson Comorbidity Index (ACCI) and preoperative systemic inflammation with survival in gastric cancer (GC) patients who underwent radical gastrectomy.Data from patients with GC who underwent radical gastrectomy between January 2009 and December 2014 in Fujian Medical University Union Hospital were retrospectively analyzed. Univariate and multivariate Cox regression analyses were performed to identify the prognostic factors. The relationship between the ACCI and systemic inflammation of the patients was explored, and the prognostic value of a new scoring system based on the ACCI and systemic inflammation (ANLR) was evaluated.A total of 2257 patients with GC were included. The ACCI and neutrophil to lymphocyte ratio (NLR) were independent prognostic factors for overall survival (both P < 0.001) by multivariate analysis. A higher ACCI was an independent predictor of the increase in preoperative NLR (P < 0.001). Based on the preoperative ACCI and NLR, we established a novel marker, ANLR. Multivariate analysis showed that the ANLR was a significant independent predictor of 5-year OS (P < 0.001). The Harrell's C-statistics (C-index) of a model combining the ANLR and pTNM was 0.744 (95% CI: 0.728-0.760), which was significantly higher than the pTNM stage (0.717, 95% CI: 0.702-0.731; P < 0.001).The ACCI of patients with gastric cancer was associated with preoperative systemic inflammation. The ACCI combined with the NLR, which are commonly collected biomarkers, could enhance prognostication for GC patients.
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