Department of Colorectal Surgery, Fujian Medical University Union Hospital, 29 Xinquan Road, Fuzhou, Fujian, 350001, People's Republic of China.
World J Surg Oncol. 2022 Aug 1;20(1):246. doi: 10.1186/s12957-022-02712-0.
This study aimed to assess the clinical implications of the advanced lung cancer inflammation index (ALI) in patients with right-sided colon cancer (RCC) after complete mesocolic excision (CME).
A total of 441 patients with RCC who underwent CME were included. The optimal cut-off value for the ALI was determined using the X-tile software. Logistic and Cox regression analyses were used to identify risk factors for postoperative complications and long-term outcomes. Predictive nomograms for overall survival (OS) and disease-free survival (DFS) were constructed after propensity score matching (PSM), and their performance was assessed using the net reclassification improvement index (NRI), integrated discrimination improvement index (IDI), and time-dependent receiver operating characteristic (time-ROC) curve analysis.
The optimal preoperative ALI cut-off value was 36.3. After PSM, ASA classification 3/4, operative duration, and a low ALI were independently associated with postoperative complications in the multivariate analysis (all P<0.05). Cox regression analysis revealed that an age >60 years, a carbohydrate antigen 19-9 (CA19-9) level >37 U/mL, pathological N+ stage, and a low ALI were independently correlated with OS (all P<0.05). A CA19-9 level >37 U/mL, pathological N+ stage, lymphovascular invasion, and a low ALI were independent predictors of DFS (all P<0.05). Predictive nomograms for OS and DFS were constructed using PSM. Furthermore, a nomogram combined with the ALI was consistently superior to a non-ALI nomogram or the pathological tumor-node-metastasis classification based on the NRI, IDI, and time-ROC curve analysis after PSM (all P<0.05).
The ALI was an effective indicator for predicting short- and long-term outcomes in patients with RCC.
本研究旨在评估完全结肠系膜切除术(CME)后右侧结肠癌(RCC)患者的高级肺癌炎症指数(ALI)的临床意义。
共纳入 441 例接受 CME 的 RCC 患者。使用 X-tile 软件确定 ALI 的最佳截断值。使用逻辑回归和 Cox 回归分析确定术后并发症和长期结果的危险因素。在倾向评分匹配(PSM)后构建总生存期(OS)和无病生存期(DFS)的预测列线图,并使用净重新分类改善指数(NRI)、综合判别改善指数(IDI)和时间依赖性接受者操作特征(time-ROC)曲线分析评估其性能。
最佳术前 ALI 截断值为 36.3。PSM 后,ASA 分级 3/4、手术时间和低 ALI 与多因素分析中的术后并发症独立相关(均 P<0.05)。Cox 回归分析显示,年龄>60 岁、CA19-9 水平>37 U/mL、病理 N+期和低 ALI 与 OS 独立相关(均 P<0.05)。CA19-9 水平>37 U/mL、病理 N+期、脉管侵犯和低 ALI 是 DFS 的独立预测因素(均 P<0.05)。使用 PSM 构建 OS 和 DFS 的预测列线图。此外,在 PSM 后,基于 NRI、IDI 和 time-ROC 曲线分析,与非-ALI 列线图或基于病理肿瘤-淋巴结-转移分期的列线图相比,包含 ALI 的列线图始终具有更高的预测效能。
ALI 是预测 RCC 患者短期和长期预后的有效指标。