Department of Neurosurgery, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan Province, People's Republic of China.
World J Surg Oncol. 2022 Apr 29;20(1):137. doi: 10.1186/s12957-022-02588-0.
Glioblastoma (GBM) is the most frequent and lethal brain tumor, which possesses highly malignant characteristics and predominates in elder patients. Systemic inflammatory response index (SIRI) is a novel prognostic marker from peripheral blood, which is defined as neutrophil count × monocyte count/lymphocyte count. In the current research, we aim to explore the relationship between SIRI and newly diagnosed GBM underwent gross total resection (GTR).
A retrospective analysis was conducted on consecutive newly diagnosed GBM patients underwent operation at West China Hospital from March 2015 to January 2019. X-tile software was used to determine the optimal cut-off values of SIRI, and neutrophil to lymphocyte ratio (NLR). All statistical analyses were performed using SPSS software and R software. Propensity score matching (PSM) was conducted to adjust for imbalance of all potential confounding covariates.
The current research included a total of 291 consecutive newly diagnosed GBM patients underwent gross total resection. Among them, 186 were male patients and 105 were female patients. In original cohort, only gender was evidently related to SIRI level. SIRI and NLR were independent prognostic indicators both in original cohort and PSM cohort. Prognostic models based on the independent prognostic factors were established, and prognostic capacity of Model SIRI was superior to Model NLR.
In the current research, SIRI was determined to be an independent prognostic indicator for GBM. And the prognostic predictive ability of SIRI was stronger than NLR.
胶质母细胞瘤(GBM)是最常见和最致命的脑肿瘤,具有高度恶性特征,多见于老年患者。系统性炎症反应指数(SIRI)是一种来自外周血的新型预后标志物,定义为中性粒细胞计数×单核细胞计数/淋巴细胞计数。在本研究中,我们旨在探讨 SIRI 与接受大体全切除(GTR)的新诊断 GBM 之间的关系。
对 2015 年 3 月至 2019 年 1 月在华西医院接受手术的连续新诊断 GBM 患者进行回顾性分析。使用 X-tile 软件确定 SIRI 和中性粒细胞与淋巴细胞比值(NLR)的最佳截断值。所有统计分析均使用 SPSS 软件和 R 软件进行。采用倾向评分匹配(PSM)调整所有潜在混杂协变量的不平衡。
本研究共纳入 291 例连续新诊断 GBM 患者行大体全切除。其中,男性 186 例,女性 105 例。在原始队列中,只有性别与 SIRI 水平明显相关。SIRI 和 NLR 均为原始队列和 PSM 队列中独立的预后指标。建立基于独立预后因素的预后模型,SIRI 模型的预后预测能力优于 NLR 模型。
在本研究中,SIRI 被确定为 GBM 的独立预后指标。SIRI 的预后预测能力强于 NLR。