Department of Urology, Xichang People's Hospital, Xichang, Sichuan, China.
Department of Robotic Minimally Invasive Surgery Center, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital and Affiliated Hospital of the University of Electronic Science and Technology of China, Chengdu, 610072, China.
BMC Surg. 2024 Jul 16;24(1):208. doi: 10.1186/s12893-024-02496-y.
SII, PNI, SIRI, AAPR, and LIPI are prognostic scores based on inflammation, nutrition, and immunity. The purpose of this study was to examine the prognostic value of the SII, PNI, SIRI, AAPR, and LIPI in patients with UTUC who underwent radical nephroureterectomy with bladder cuff excision.
Data of UTUC patients in Sichuan Provincial People's Hospital from January 2017 to December 2021 were collected. The optimal critical values of SII, PNI, SIRI, and AAPR were determined by ROC curve, and LIPI was stratified according to the dNLR and LDH. The Kaplan-Meier method was used to draw the survival curve, and Cox proportional hazard model was used to analyze the factors affecting the prognosis of UTUC patients.
A total of 81 patients with UTUC were included in this study. The optimal truncation value of PNI, SII, SIRI and AAPR were determined to be 48.15, 596.4, 1.45 and 0.50, respectively. Univariate Cox proportional hazard regression showed that low PNI, high SII, high SIRI, low AAPR and poor LIPI group were effective predictors of postoperative prognosis of UTUC patients. Multivariate Cox proportional hazard regression showed that high SII was an independent risk factor for postoperative prognosis of UTUC patients. According to ROC curve, the prediction efficiency of fitting indexes of PNI, SII, SIRI, AAPR and LIPI is better than that of using them alone.
The SII, PNI, SIRI, AAPR, and LIPI was a potential prognostic predictor in UTUC patients who underwent radical nephroureterectomy with bladder cuff excision.
SII、PNI、SIRI、AAPR 和 LIPI 是基于炎症、营养和免疫的预后评分。本研究旨在探讨 SII、PNI、SIRI、AAPR 和 LIPI 在接受根治性肾输尿管切除术和膀胱袖套切除的 UTUC 患者中的预后价值。
收集 2017 年 1 月至 2021 年 12 月四川省人民医院 UTUC 患者数据。通过 ROC 曲线确定 SII、PNI、SIRI 和 AAPR 的最佳临界值,并根据 dNLR 和 LDH 对 LIPI 进行分层。采用 Kaplan-Meier 法绘制生存曲线,采用 Cox 比例风险模型分析影响 UTUC 患者预后的因素。
本研究共纳入 81 例 UTUC 患者。确定 PNI、SII、SIRI 和 AAPR 的最佳截断值分别为 48.15、596.4、1.45 和 0.50。单因素 Cox 比例风险回归显示,低 PNI、高 SII、高 SIRI、低 AAPR 和差的 LIPI 组是 UTUC 患者术后预后的有效预测指标。多因素 Cox 比例风险回归显示,高 SII 是 UTUC 患者术后预后的独立危险因素。根据 ROC 曲线,PNI、SII、SIRI、AAPR 和 LIPI 拟合指标的预测效率优于单独使用。
SII、PNI、SIRI、AAPR 和 LIPI 是接受根治性肾输尿管切除术和膀胱袖套切除的 UTUC 患者潜在的预后预测指标。