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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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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
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author Mao, Weipu
Wu, Jianping
Zhang, Ziwei
Xu, Zhipeng
Xu, Bin
Chen, Ming
author_facet Mao, Weipu
Wu, Jianping
Zhang, Ziwei
Xu, Zhipeng
Xu, Bin
Chen, Ming
author_sort Mao, Weipu
collection PubMed
description 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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spelling pubmed-78444882021-02-01 Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed Mao, Weipu Wu, Jianping Zhang, Ziwei Xu, Zhipeng Xu, Bin Chen, Ming Transl Androl Urol Original Article 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. AME Publishing Company 2021-01 /pmc/articles/PMC7844488/ /pubmed/33532298 http://dx.doi.org/10.21037/tau-20-890 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Mao, Weipu
Wu, Jianping
Zhang, Ziwei
Xu, Zhipeng
Xu, Bin
Chen, Ming
Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title_full Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title_fullStr Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title_full_unstemmed Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title_short Neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
title_sort neutrophil-lymphocyte ratio acts as a novel diagnostic biomarker for kidney stone prevalence and number of stones passed
topic Original Article
url 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
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