Tang Kun, Liu Haoran, Jiang Kehua, Ye Tao, Yan Libin, Liu Peijun, Xia Ding, Chen Zhiqiang, Xu Hua, Ye Zhangqun
Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Institute of Urology of Hubei Province, Wuhan 430030, China.
Oncotarget. 2017 Aug 18;8(49):85612-85627. doi: 10.18632/oncotarget.20344. eCollection 2017 Oct 17.
Neutrophil to lymphocyte ratio (NLR), derived neutrophil to lymphocyte ratio (dNLR), platelet to lymphocyte ratio (PLR) and lymphocyte to monocyte ratio (LMR) were promising biomarkers used to predict diagnosis and prognosis in various inflammatory responses diseases and cancers. However, there have been no reports regarding these biomarkers in kidney stone patients. This study aimed to evaluate the predictive value of inflammatory biomarkers for metabolic syndrome (MetS) and post-PCNL SIRS in nephrolithiasis patients. We retrospectively enrolled 513 patients with nephrolithiasis and 204 healthy controls. NLR, dNLR, LMR and PLR in nephrolithiasis patients were significantly higher than control group. Patients with renal stone have higher NLR, dNLR, LMR and PLR than those without. ROC curve analysis indicated NLR, dNLR, LMR and PLR for predicting patients with nephrolithiasis and MetS, displayed AUC of 0.730, 0.717, 0.627 and 0.606. Additionally, ROC curves, using post-PCNL SIRS as the end-point for NLR, dNLR, LMR and PLR with AUC of 0.831, 0.813, 0.723 and 0.685. Multivariate analysis revealed that NLR, dNLR represented independent factors for predicting post-PCNL SIRS. While LMR independently associated with MetS. These resluts demonstrate preoperative NLR, dNLR and LMR appears to be effective predictors of post-PCNL SIRS and LMR of MetS in nephrolithiasis patients.
中性粒细胞与淋巴细胞比值(NLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)、血小板与淋巴细胞比值(PLR)以及淋巴细胞与单核细胞比值(LMR)是很有前景的生物标志物,可用于预测各种炎症反应性疾病和癌症的诊断及预后。然而,尚无关于肾结石患者这些生物标志物的报道。本研究旨在评估炎症生物标志物对肾结石患者代谢综合征(MetS)和经皮肾镜取石术后全身炎症反应综合征(SIRS)的预测价值。我们回顾性纳入了513例肾结石患者和204例健康对照者。肾结石患者的NLR、dNLR、LMR和PLR显著高于对照组。有肾结石的患者比没有肾结石的患者具有更高的NLR、dNLR、LMR和PLR。ROC曲线分析表明,用于预测肾结石合并MetS患者的NLR、dNLR、LMR和PLR的曲线下面积(AUC)分别为0.730、0.717、0.627和0.606。此外,以经皮肾镜取石术后SIRS为终点的NLR、dNLR、LMR和PLR的ROC曲线AUC分别为0.831、0.813、0.723和0.685。多因素分析显示,NLR、dNLR是预测经皮肾镜取石术后SIRS的独立因素。而LMR与MetS独立相关。这些结果表明,术前NLR、dNLR和LMR似乎是肾结石患者经皮肾镜取石术后SIRS和MetS的LMR的有效预测指标。