Zhu Xianya, Xu Qiuping, Zhou Yi, Zhu Chunrong, Zeng Lili
Department of Hematology and Oncology, Suzhou Wuzhong People's Hospital, Suzhou, 215000, China.
Department of Oncology, The First Affiliated Hospital of Soochow University, 188 Shizi Street, Canglang District, Suzhou, Jiangsu, 215000, China.
Open Med (Wars). 2025 Jun 11;20(1):20251214. doi: 10.1515/med-2025-1214. eCollection 2025.
To analyze the impact of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), prognostic nutritional index (PNI), and body mass index on the prognosis of colorectal cancer patients and to assess their clinical value. This cohort study included patients who underwent radical resection (R0 resection) for colorectal cancer. Peripheral blood laboratory test results for all patients were obtained within 1 week prior to surgery for the calculation of the NLR, PLR, and PNI. A total of 201 patients were included in the analysis. A total of 19 patients experienced relapse, and 30 patients died. The median follow-up duration was 39.2 months. Receiver operating characteristic curve analysis indicated that the PNI demonstrated moderately high predictive accuracy for overall survival (OS), with an area under the curve of 67.31%. After stratification based on the cutoff value, patients with a PNI of ≥44.48 exhibited a better survival prognosis than those with a PNI of <44.48 ( = 0.001). However, according to the univariate Cox regression analysis, the PNI was significantly associated with OS (hazard ratio: 0.29; 95% confidence interval: 0.14-0.62; = 0.001). The PNI, rather than the NLR or PLR, exhibited better predictive performance. After classifying patients based on the PNI cutoff value, patients with a high PNI had better survival outcomes.
分析中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、预后营养指数(PNI)和体重指数对结直肠癌患者预后的影响,并评估其临床价值。这项队列研究纳入了接受结直肠癌根治性切除(R0切除)的患者。在手术前1周内获取所有患者的外周血实验室检查结果,以计算NLR、PLR和PNI。共有201例患者纳入分析。共有19例患者复发,30例患者死亡。中位随访时间为39.2个月。受试者工作特征曲线分析表明,PNI对总生存期(OS)具有中等高度的预测准确性,曲线下面积为67.31%。根据临界值分层后,PNI≥44.48的患者比PNI<44.48的患者生存预后更好(P = 0.001)。然而,根据单因素Cox回归分析,PNI与OS显著相关(风险比:0.29;95%置信区间:0.14 - 0.62;P = 0.001)。PNI而非NLR或PLR表现出更好的预测性能。根据PNI临界值对患者进行分类后,PNI高的患者生存结局更好。