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术前预后营养指数和全身免疫炎症指数对高危非肌层浸润性膀胱癌患者长期生存的预测价值:一项单中心回顾性研究

Predictive Values of Preoperative Prognostic Nutritional Index and Systemic Immune-Inflammation Index for Long-Term Survival in High-Risk Non-Muscle-Invasive Bladder Cancer Patients: A Single-Centre Retrospective Study.

作者信息

Bi Huifeng, Shang Zhenhua, Jia Chunsong, Wu Jiangtao, Cui Bo, Wang Qi, Ou Tongwen

机构信息

Department of Urology, Xuanwu Hospital Capital Medical University, Beijing, People's Republic of China.

Department of Urology, Jincheng General Hospital, Jincheng, Shanxi Province, People's Republic of China.

出版信息

Cancer Manag Res. 2020 Oct 1;12:9471-9483. doi: 10.2147/CMAR.S259117. eCollection 2020.

Abstract

PURPOSE

This study aimed to investigate the associations between the preoperative prognostic nutritional index (PNI), systemic immune-inflammation index (SII) and overall survival (OS) and cancer-specific survival (CSS) in high-risk non-muscle-invasive bladder cancer (NMIBC) patients who received intravesical instillation of Bacillus Calmette-Guerin (BCG) after transurethral resection of bladder tumour (TURBT).

PATIENTS AND METHODS

We retrospectively collected data from 387 high-risk NMIBC patients between January 2004 and December 2014. PNI was calculated as total lymphocyte count (10/L)×5+albumin concentration (g/L). SII was calculated as neutrophil count (10/L)×platelet count (10/L)/lymphocyte count (10/L). The cutoff values of PNI and SII were determined through receiver operating characteristic (ROC) analysis. OS and CSS were estimated by Kaplan-Meier analysis. The Log rank test was used to compare differences between the groups. Univariate and multivariate Cox regression analyses were performed to assess the predictive values of PNI and SII for OS and CSS. Additionally, highest-risk NMIBC patients were also divided into low or high groups according to PNI and SII. The OS and CSS of highest-risk NMIBC patients were estimated using Kaplan-Meier analysis with the Log rank test.

RESULTS

The patients were divided into two groups according to the cutoff values of PNI (<50.17 vs ≥50.17) and SII (<467.76 vs ≥467.76). Kaplan-Meier analysis revealed that low PNI and high SII were associated with poorer OS and CSS in high-risk NMIBC patients. Univariate and multivariate Cox regression analyses revealed that PNI and SII were independent predictive factors for OS and CSS. Kaplan-Meier analysis also revealed that low PNI and high SII were related to poorer OS and CSS in highest-risk NMIBC patients.

CONCLUSION

These results suggest that preoperative PNI and SII, based on standard laboratory measurements, may be useful noninvasive, inexpensive and simple tools for predicting the long-term survival of high-risk NMIBC patients who received intravesical instillation of BCG after TURBT.

摘要

目的

本研究旨在探讨术前预后营养指数(PNI)、全身免疫炎症指数(SII)与高危非肌层浸润性膀胱癌(NMIBC)患者经尿道膀胱肿瘤电切术(TURBT)后接受卡介苗(BCG)膀胱灌注治疗后的总生存期(OS)和癌症特异性生存期(CSS)之间的关联。

患者与方法

我们回顾性收集了2004年1月至2014年12月期间387例高危NMIBC患者的数据。PNI的计算方法为淋巴细胞总数(10⁹/L)×5 + 白蛋白浓度(g/L)。SII的计算方法为中性粒细胞计数(10⁹/L)×血小板计数(10⁹/L)/淋巴细胞计数(10⁹/L)。通过受试者工作特征(ROC)分析确定PNI和SII的临界值。采用Kaplan-Meier分析评估OS和CSS。使用对数秩检验比较组间差异。进行单因素和多因素Cox回归分析,以评估PNI和SII对OS和CSS的预测价值。此外,根据PNI和SII将高危NMIBC患者分为低风险组或高风险组。采用Kaplan-Meier分析和对数秩检验评估高危NMIBC患者的OS和CSS。

结果

根据PNI(<50.17 vs ≥50.17)和SII(<467.76 vs ≥467.76)的临界值将患者分为两组。Kaplan-Meier分析显示,高危NMIBC患者中低PNI和高SII与较差的OS和CSS相关。单因素和多因素Cox回归分析显示,PNI和SII是OS和CSS的独立预测因素。Kaplan-Meier分析还显示,高危NMIBC患者中低PNI和高SII与较差的OS和CSS相关。

结论

这些结果表明,基于标准实验室测量的术前PNI和SII可能是预测TURBT后接受BCG膀胱灌注治疗的高危NMIBC患者长期生存的有用的非侵入性、廉价且简单的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e78/7534864/f12fc13d9dca/CMAR-12-9471-g0001.jpg

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