Du Yuan-Zhuo, Yang Jia-Qing, Yao Ji-Ming, Zhang Chi-Teng, Liu Yi-Fu
Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
The Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Front Endocrinol (Lausanne). 2025 Feb 3;16:1523890. doi: 10.3389/fendo.2025.1523890. eCollection 2025.
Kidney stones are a major issue for public health worldwide. Discovering potential clues in identifying at-risk individuals is essential for early detection and timely treatment. This study explores the relationship of the neutrophil-to-high-density lipoprotein cholesterol ratio (NHR) with the risk of kidney stones in U.S. adults.
The analysis involved 24,532 participants with available NHR and kidney stone data from the 2007-2018 NHANES period. Multivariable logistic regression models were used to quantify the relationship between NHR and kidney stone occurrence. Subgroup analyses were conducted to explore variations in effect.
A total of 2,351 participants (9.93%) were diagnosed with kidney stones, and their mean age was 47.20 ± 0.26 years. After full adjustment in the multivariable regression model, higher NHR levels were linked to a greater risk of kidney stones (OR = 1.05, 95% CI: 1.02-1.08, P = 0.002). Participants in the highest tertile of NHR had a 34% increased chance of kidney stone development compared to those in the lowest tertile. A nonlinear connection between NHR and kidney stone risk was identified using restricted cubic spline (RCS) regression models. The relationship between NHR and kidney stone prevalence showed no significant variation across most subgroups (P for interaction > 0.05).
The results indicate that increased NHR is linked to a higher risk of kidney stones, with this relationship remaining consistent across various populations. NHR could be a useful biomarker for kidney stone risk, with key implications for early detection and individualized treatment.
肾结石是全球公共卫生的一个主要问题。发现识别高危个体的潜在线索对于早期检测和及时治疗至关重要。本研究探讨美国成年人中性粒细胞与高密度脂蛋白胆固醇比值（NHR）与肾结石风险之间的关系。
该分析纳入了2007 - 2018年美国国家健康与营养检查调查（NHANES）期间有可用NHR和肾结石数据的24532名参与者。使用多变量逻辑回归模型来量化NHR与肾结石发生之间的关系。进行亚组分析以探讨效应的差异。
共有2351名参与者（9.93%）被诊断患有肾结石，他们的平均年龄为47.20±0.26岁。在多变量回归模型中进行全面调整后，较高的NHR水平与更高的肾结石风险相关（比值比[OR]=1.05，95%置信区间[CI]：1.02 - 1.08，P = 0.002）。与处于最低三分位数的参与者相比，处于NHR最高三分位数的参与者患肾结石的几率增加了34%。使用受限立方样条（RCS）回归模型确定了NHR与肾结石风险之间的非线性关系。NHR与肾结石患病率之间的关系在大多数亚组中无显著差异（交互作用P>0.05）。
结果表明，NHR升高与更高的肾结石风险相关，这种关系在不同人群中保持一致。NHR可能是一种有用的肾结石风险生物标志物，对早期检测和个体化治疗具有重要意义。
