Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Surgery, University of Verona, Verona, Italy.
Department of Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Eur J Surg Oncol. 2024 Dec;50(12):108773. doi: 10.1016/j.ejso.2024.108773. Epub 2024 Oct 18.
The advanced lung cancer inflammation index (ALI), which combines inflammation and nutrition data, was recently proposed as a prognostic biomarker. We assessed the impact of ALI on overall survival (OS) among patients undergoing surgery for intrahepatic cholangiocarcinoma (ICC).
Patients who underwent surgery for ICC were identified from an international cohort. ALI was calculated as body-mass index (BMI)∗albumin/neutrophil-to-lymphocyte ratio; patients were categorized into "low-" and "high-ALI" using log-rank statistics. The impact of ALI on OS was compared against other inflammatory markers (i.e., neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune inflammation index [SII = platelets∗NLR]) using Harrell's Concordance index (C-index) and the Akaike Information Criterion (AIC). To minimize intergroup differences, propensity score matching was employed.
Among 1045 patients, more than one-half of individuals underwent major hepatectomy (n = 582, 55.7 %), median tumor size was 5.5 cm (IQR, 3.8-7.8), and median ALI was 38.9 (IQR 26.5-57.2). On multivariate analysis, low ALI was an independent risk factor for worse OS (HR 1.21, 95 % CI 1.01-1.46; p = 0.04). Patients with low ALI had worse 5-year OS (36.9 % vs. 49.9 %; p < 0.001), which remained significant after PSM (36.9 % vs. 41.3 %; p = 0.039). ALI had a comparable discriminatory ability compared with NLR, PLR, and SII (C-index: 0.646 vs. 0.644 vs. 0.640 vs. 0.641, respectively), yet had a lower AIC (5475.31 vs. 5546.80 vs. 5550.45 vs. 5548.62, respectively) suggesting slightly better model fit and accuracy.
ALI was an independent predictor of OS among patients undergoing surgery for ICC. Nutritional and inflammatory markers should be incorporated into predictive models to improve prognostic stratification.
最近提出了一种将炎症和营养数据结合起来的先进肺癌炎症指数(ALI)作为预后生物标志物。我们评估了 ALI 对接受肝内胆管癌(ICC)手术患者总生存(OS)的影响。
从国际队列中确定接受 ICC 手术的患者。通过计算体质量指数(BMI)白蛋白/中性粒细胞与淋巴细胞比值来计算 ALI;使用对数秩检验将患者分为“低-ALI”和“高-ALI”。使用 Harrell 一致性指数(C 指数)和赤池信息量准则(AIC)比较 ALI 与其他炎症标志物(即中性粒细胞与淋巴细胞比值[NLR]、血小板与淋巴细胞比值[PLR]、系统免疫炎症指数[SII=血小板NLR])对 OS 的影响。为了尽量减少组间差异,采用倾向评分匹配。
在 1045 名患者中,超过一半的患者接受了大肝切除术(n=582,55.7%),肿瘤中位大小为 5.5cm(IQR,3.8-7.8),中位 ALI 为 38.9(IQR,26.5-57.2)。多变量分析显示,低 ALI 是 OS 较差的独立危险因素(HR 1.21,95%CI 1.01-1.46;p=0.04)。低 ALI 患者的 5 年 OS 更差(36.9% vs. 49.9%;p<0.001),在 PSM 后仍然显著(36.9% vs. 41.3%;p=0.039)。与 NLR、PLR 和 SII 相比,ALI 具有相当的判别能力(C 指数:0.646 与 0.644 与 0.640 与 0.641),但 AIC 较低(5475.31 与 5546.80 与 5550.45 与 5548.62),提示模型拟合度和准确性略有提高。
ALI 是 ICC 手术患者 OS 的独立预测因子。营养和炎症标志物应纳入预测模型,以改善预后分层。