肾结石
医学
逻辑回归
全国健康与营养检查调查
内科学
生物标志物
多元分析
肾
中性粒细胞与淋巴细胞比率
淋巴细胞
胃肠病学
人口
环境卫生
生物
生物化学
作者
Weipu Mao,Jianping Wu,Ziwei Zhang,Zhipeng Xu,Bin Xu,Ming Chen
摘要
Background: This study evaluated the relationship between inflammatory biomarkers and the prevalence of kidney stones and number of stones passed. Methods: 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. Results: 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). Conclusions: 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.
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