中性粒细胞与淋巴细胞、血小板与淋巴细胞、单核细胞与淋巴细胞比值在直肠癌预后中的作用。

IF 1.7 4区 医学 Q3 GASTROENTEROLOGY & HEPATOLOGY
Li-Li Shao, Xiang Li, Li-Fen Wang
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引用次数: 0

摘要

背景:一种有效的指标具有预测直肠癌预后的潜力。目的:探讨中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)和单核细胞与淋巴细胞比值(MLR)对直肠癌预后的影响。方法:对山西省长治市人民医院180例直肠癌患者进行回顾性研究。术前24小时和术后72小时采集2ml血样,用自动血液分析仪测定中性粒细胞、淋巴细胞、血小板和单核细胞。比较术前和术后NLR、PLR和MLR。随访12个月,分为预后良好组和预后不良组。构建了受试者工作特征曲线,对其预测值进行了分析。结果:术后NLR、PLR、MLR值明显降低(P < 0.05)。预后良好组152例,预后不良组28例。预后较差的患者术后NLR、PLR和MLR值略高于预后良好的患者(P < 0.05)。受试者工作特征分析显示,NLR、PLR和MLR的曲线下面积为0.828,敏感性和特异性分别为89.29%和90.79%。这些数值均高于个体NLR(曲线下面积0.660,敏感性67.86%,特异性54.61%)、PLR(0.668, 75.00%, 55.30%)和MLR(0.635, 60.71%, 48.03%),差异均有统计学意义(P < 0.05),可有效预测患者预后。结论:本研究结果提示直肠癌患者NLR、PLR、MLR值可有效预测患者预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Role of neutrophil-to-lymphocyte, platelet-to-lymphocyte, and monocyte-to-lymphocyte ratios in rectal cancer prognosis.

Background: An efficient index holds the potential to predict rectal cancer prognosis.

Aim: To investigate the impact of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR) on rectal cancer prognosis.

Methods: This retrospective study involved 180 patients with rectal cancer from the Changzhi People's Hospital of Shanxi Province. A 2-mL blood sample was collected at 24 h preoperatively and 72 h postoperatively to measure neutrophils, lymphocytes, platelets, and monocytes using an automatic blood analyzer. Preoperative and postoperative NLR, PLR, and MLR were compared. Patients were followed up for 12 months and categorized into good and poor prognosis groups. A receiver operating characteristic curve was constructed to analyze their predictive values.

Results: The NLR, PLR, and MLR values were significantly lower post-surgery (P < 0.05). A total of 152 and 28 patients were categorized in the good and poor prognosis groups, respectively. Patients with poor prognoses exhibited slightly higher postoperative NLR, PLR, and MLR values than those with good prognoses (P < 0.05). Receiver operating characteristic analysis showed that the area under the curve for NLR, PLR, and MLR was 0.828 with a sensitivity and specificity of 89.29% and 90.79%, respectively. These values were higher than individual NLR (area under the curve: 0.660, sensitivity: 67.86%, specificity: 54.61%), PLR (0.668, 75.00%, 55.30%), and MLR (0.635, 60.71%, 48.03%), all showing statistically significant differences (P < 0.05), effectively predicting patient outcomes.

Conclusion: The findings of this study indicated that NLR, PLR, and MLR values of patients with rectal cancer can be used to effectively predict the outcome of patients.

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