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Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed

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 200...

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Detalles Bibliográficos
Autores principales: Mao, Weipu, Wu, Jianping, Zhang, Ziwei, Xu, Zhipeng, Xu, Bin, Chen, Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7844488/
https://www.ncbi.nlm.nih.gov/pubmed/33532298
http://dx.doi.org/10.21037/tau-20-890
Descripción
Sumario: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.