Department of Medical Oncology, HSU Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey,
Department of Medical Oncology, HSU Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Ankara, Turkey.
Urol Int. 2021;105(7-8):666-673. doi: 10.1159/000513456. Epub 2021 Mar 17.
The aim of the study was to evaluate impact of the systemic immune-inflammation index (SII) on prognosis and survival within the International Metastatic Renal Cell Carcinoma Database Consortium (IMDC) score groups.
The records of 187 patients with metastatic renal cell carcinoma (RCC) were reviewed retrospectively. The SII was calculated as follows: SII = Neutrophil × Platelet/Lymphocyte. The patients were categorized into 2 groups based on a median SII of 730 (×109 per 1 L) as SII low (<730) and SII high (≥730). The Kaplan-Meier method was used for survival analysis and a Cox regression model was utilized to determine independent predictors of survival.
The median age was 61 years (range: 34-86 years). Kaplan-Meier tests revealed significant differences in survival between the SII-low and SII-high levels (27.0 vs. 12.0 months, respectively, p < 0.001). The Cox regression model revealed that SII was an independent prognostic factor. The implementation of the log-rank test in the IMDC groups according to the SII level provided the distinction of survival in the favorable group (SII low 49.0 months vs. SII high 11.0 months, p < 0.001), in the intermediate group (SII low 26.0 vs. SII high 15.0 months, p = 0.007), and in the poor group (SII low 19.0 vs. SII high 6.0 months, p = 0.019).
The SII was an independent prognostic factor and provided significant differences in survival for the favorable, intermediate, and poor IMDC groups. Thus, the SII added to the IMDC score may be clinically beneficial in predicting survival.
本研究旨在评估系统免疫炎症指数（SII）对国际转移性肾细胞癌数据库联盟（IMDC）评分组预后和生存的影响。
回顾性分析 187 例转移性肾细胞癌（RCC）患者的记录。SII 的计算方法如下：SII=中性粒细胞×血小板/淋巴细胞。根据 SII 的中位数 730（每 1L 中 1×109 个）将患者分为 2 组，即 SII 低（<730）和 SII 高（≥730）。采用 Kaplan-Meier 法进行生存分析，Cox 回归模型用于确定生存的独立预测因素。
中位年龄为 61 岁（范围：34-86 岁）。Kaplan-Meier 检验显示 SII 低水平和高水平之间的生存差异有统计学意义（分别为 27.0 个月和 12.0 个月，p<0.001）。Cox 回归模型显示 SII 是独立的预后因素。根据 SII 水平在 IMDC 组中实施对数秩检验，可区分预后良好组（SII 低 49.0 个月与 SII 高 11.0 个月，p<0.001）、预后中等组（SII 低 26.0 个月与 SII 高 15.0 个月，p=0.007）和预后不良组（SII 低 19.0 个月与 SII 高 6.0 个月，p=0.019）之间的生存差异。
SII 是独立的预后因素，在预后良好、中等和不良的 IMDC 组中均能显著改善生存。因此，SII 与 IMDC 评分相结合可能有助于临床预测生存。
