Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis

Kun Tang; Haoran Liu; Kehua Jiang; Tao Ye; Libin Yan; Peijun Liu; Ding Xia; Zhiqiang Chen; Hua Xu; Zhangqun Ye

doi:10.18632/oncotarget.20344

Predictive value of preoperative inflammatory response biomarkers for metabolic syndrome and post-PCNL systemic inflammatory response syndrome in patients with nephrolithiasis

Oncotarget. 2017 Aug 18;8(49):85612-85627. doi: 10.18632/oncotarget.20344. eCollection 2017 Oct 17.

Authors

Kun Tang^{1

2}, Haoran Liu^{1

2}, Kehua Jiang^{1

2}, Tao Ye^{1

2}, Libin Yan^{1

2}, Peijun Liu^{1

2}, Ding Xia^{1

2}, Zhiqiang Chen^{1

2}, Hua Xu^{1

2}, Zhangqun Ye^{1

2}

Affiliations

¹ Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
² Institute of Urology of Hubei Province, Wuhan 430030, China.

Abstract

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.

Keywords: inflammatory response biomarkers; metabolic syndrome; nephrolithiasis; percutaneous nephrolithotomy; systemic inflammatory response syndrome.