Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Su Zhou, P.R. China.
Department of Radiation Oncology, Taixing People' s Hospital Affiliated to Yangzhou University, Tai Xing, P.R. China.
Medicine (Baltimore). 2024 Jun 14;103(24):e38477. doi: 10.1097/MD.0000000000038477.
Preoperative laboratory data indicators significantly affect the prognosis of a variety of tumors. Nevertheless, the combined effect of systemic immune-inflammation index (SII) and prognostic nutritional index (PNI) on overall survival (OS) in patients with esophageal carcinoma remains unclear. Thus, we examined these associations among patients with postoperative staged T3N0M0 esophageal carcinoma. The data of 246 patients with postoperative staged T3N0M0 esophageal carcinoma from January 1, 2010, to December 31, 2022, were retrospectively analyzed. OS was measured from the date of pathological diagnosis until either death or the last follow-up. The Kaplan-Meier method and multivariate Cox regression model were used to analyze the relationship between neutrophil-to-lymphocyte ratio (NLR), Platelet-to-lymphocyte ratio (PLR), Platelet-to-lymphocyte ratio (LMR), SII, PNI, and OS. The predictive value of SII and PNI as a combined index was analyzed by the receiver operating characteristic curve (ROC). A total of 246 patients aged 65.5 ± 7.4 years were included in this study and 181 (73.6%) were male. The univariate analysis revealed that differentiation, vessel involvement, postoperative treatment, NLR, SII, PLR, LMR, PNI were predictors of OS (P < .05). After adjusted for potential confounds, multivariate Cox regression analysis showed that the differentiation, SII, PNI, and postoperative treatment were independent prognostic factors correlated with OS in patients with postoperative staged T3N0M0 esophageal carcinoma (P < .05). SII and PNI, as a combined indicator, have a higher predictive value for OS. The NLR, SII, PLR, LMR, and PNI could all be used as independent predictors of OS in patients with postoperative staged T3N0M0 esophageal carcinoma. The combination of SII and PNI can significantly improve the accuracy of prediction.
术前实验室数据指标显著影响多种肿瘤的预后。然而，全身免疫炎症指数（SII）和预后营养指数（PNI）对食管癌患者总生存（OS）的联合影响尚不清楚。因此，我们研究了这些指标在术后 T3N0M0 期食管癌患者中的相关性。回顾性分析了 2010 年 1 月 1 日至 2022 年 12 月 31 日期间 246 例术后 T3N0M0 期食管癌患者的数据。OS 从病理诊断日期开始计算，直到死亡或最后一次随访。Kaplan-Meier 法和多因素 Cox 回归模型用于分析中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、血小板与淋巴细胞比值（LMR）、SII、PNI 与 OS 的关系。通过受试者工作特征曲线（ROC）分析 SII 和 PNI 联合指数的预测价值。本研究共纳入 246 例年龄 65.5±7.4 岁的患者，其中 181 例（73.6%）为男性。单因素分析显示，分化、血管侵犯、术后治疗、NLR、SII、PLR、LMR、PNI 是 OS 的预测因素（P<0.05）。在调整了潜在混杂因素后，多因素 Cox 回归分析显示，分化、SII、PNI 和术后治疗是与术后 T3N0M0 期食管癌患者 OS 相关的独立预后因素（P<0.05）。SII 和 PNI 作为联合指标，对 OS 的预测价值更高。NLR、SII、PLR、LMR 和 PNI 均可作为术后 T3N0M0 期食管癌患者 OS 的独立预测因子。SII 和 PNI 的联合可显著提高预测准确性。
