Mao Weipu, Wu Jianping, Zhang Ziwei, Xu Zhipeng, Xu Bin, Chen Ming
Department of Urology, Affiliated Zhongda Hospital of Southeast University, Nanjing, China.
Department of Urology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Transl Androl Urol. 2021 Jan;10(1):77-86. doi: 10.21037/tau-20-890.
This study evaluated the relationship between inflammatory biomarkers and the prevalence of kidney stones and number of stones passed.
We conducted a cross-sectional study of adult participants (≥20 years) in the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2014. We calculated key inflammatory biomarkers, such as the systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and monocyte-lymphocyte ratio (MLR). Multivariate logistic regression analysis was used to determine the effect of inflammatory biomarkers on the prevalence of kidney stones and number of stones passed.
A total of 21,106 participants were included in the final study, and 1,864 patients reported a history of kidney stones (including 292 who had passed no stones, 1,462 who had passed stones 1-5 times, and 110 who had passed stones >5 times). The chi-square test showed that the NLR, MLR and SII were closely related to the occurrence of kidney stones and the number of stones passed. Multivariate logistic regression analysis showed that a high NLR (>1.72) was associated with an increased prevalence of kidney stones and number of stones passed (OR =1.18, 95% CI: 1.03-1.36, P=0.019).
A convenient biomarker, the NLR can be used as a good predictor for the diagnosis of kidney stones and number of stones passed; these findings are worthy of further research and application in clinical practice.
本研究评估了炎症生物标志物与肾结石患病率及排出结石数量之间的关系。
我们对2007年至2014年美国国家健康与营养检查调查(NHANES)中的成年参与者(≥20岁)进行了一项横断面研究。我们计算了关键的炎症生物标志物,如全身免疫炎症指数(SII)、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)。采用多因素逻辑回归分析来确定炎症生物标志物对肾结石患病率及排出结石数量的影响。
最终研究共纳入21106名参与者,1864例患者报告有肾结石病史(包括292例未排出结石者、1462例排出1 - 5次结石者和110例排出结石>5次者)。卡方检验显示,NLR、MLR和SII与肾结石的发生及排出结石数量密切相关。多因素逻辑回归分析显示,高NLR(>1.72)与肾结石患病率及排出结石数量增加相关(OR =1.18,95%CI:1.03 - 1.36,P =0.019)。
作为一种便捷的生物标志物,NLR可作为肾结石诊断及排出结石数量的良好预测指标;这些发现值得在临床实践中进一步研究和应用。