Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, 610041, China.
Department of Robotic Minimally Invasive Surgery Center, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, Chengdu, 610072, China.
Int Urol Nephrol. 2023 Nov;55(11):2799-2807. doi: 10.1007/s11255-023-03724-9. Epub 2023 Jul 27.
Several preoperative systemic inflammation indices have been proven to be correlated with the prognosis of patients diagnosed with non-metastatic renal cell carcinoma (RCC). However, these indices are currently not included in the main prognostic models, and few studies have compared the prognostic efficacy of different preoperative systemic inflammation indices.
This retrospective study reviewed patients diagnosed with non-metastatic RCC who underwent nephrectomy at West China Hospital of Sichuan University from 2011 to 2013. Different preoperative systemic inflammation indices (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], monocyte-to-lymphocyte ratio [MLR], systemic immune-inflammation index [SII], and systemic inflammation response index [SIRI]) were calculated. Logistic regression was used to explore the relationship between systemic inflammation indices and clinical characteristics, and Cox regression was used to identify independent prognostic factors of overall survival (OS). The concordance index (c-index) was also calculated.
A total of 820 patients were included in the study, with a median follow-up of 78 months. Higher levels of NLR (> 3.04), PLR (> 147), MLR (> 0.32), SII (> 700), and SIRI (> 1.27) were found to be associated with more advanced tumor stage, higher Furman grade, and larger tumor size. In multivariate Cox regression, NLR, PLR, MLR, SII, and SIRI were identified as independent prognostic factors, and SII had the highest and most significant hazard ratio and the largest c-index.
In conclusion, various systemic inflammation indices were found to be associated with poorer OS. Among them, SII exhibited the highest predictive efficacy, suggesting its potential inclusion as a component in future prognostic models.
多项术前系统性炎症指标已被证实与非转移性肾细胞癌(RCC)患者的预后相关。然而,这些指标目前并未纳入主要预后模型,且鲜有研究比较不同术前系统性炎症指标的预后效能。
本回顾性研究纳入了 2011 年至 2013 年在四川大学华西医院行肾切除术的非转移性 RCC 患者。计算了不同的术前系统性炎症指标(中性粒细胞与淋巴细胞比值[NLR]、血小板与淋巴细胞比值[PLR]、单核细胞与淋巴细胞比值[MLR]、系统性免疫炎症指数[SII]和系统性炎症反应指数[SIRI])。采用逻辑回归探讨系统性炎症指标与临床特征的关系,采用 Cox 回归确定总生存(OS)的独立预后因素。还计算了一致性指数(c-index)。
共纳入 820 例患者,中位随访 78 个月。较高的 NLR(>3.04)、PLR(>147)、MLR(>0.32)、SII(>700)和 SIRI(>1.27)水平与更晚期的肿瘤分期、更高的 Furman 分级和更大的肿瘤大小相关。多变量 Cox 回归显示,NLR、PLR、MLR、SII 和 SIRI 是独立的预后因素,SII 的风险比最高且最显著,c-index 最大。
总之,各种系统性炎症指标与较差的 OS 相关。其中,SII 具有最高的预测效能,提示其可能作为未来预后模型的组成部分。