Association between Neutrophil-Percentage-to-Albumin Ratio and Kidney Stones: A Cross-Sectional Study Using NHANES Data

Association between Neutrophil-Percentage-to-Albumin Ratio and Kidney Stones: A Cross-Sectional Study Using NHANES Data | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Association between Neutrophil-Percentage-to-Albumin Ratio and Kidney Stones: A Cross-Sectional Study Using NHANES Data Shihan Guo, Xu Jiao, Yun Lu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4890795/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Introduction: Our goal was to explore the potential association between the neutrophil-percentage-to-albumin-ratio (NPAR) and kidney stones. Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES), collected between 2007 and 2018. We employed multiple logistic regression models and smooth curve fitting to investigate the relationship between NPAR and other inflammatory biomarkers, including the systemic immune inflammation index (SII), platelet/lymphocyte ratio (PLR), and neutrophil/lymphocyte ratio (NLR), in relation to kidney stones. Independent relationships between these factors were assessed. Subgroup analysis revealed associations based on different population types. The study also evaluated the predictive ability of various inflammation markers in assessing the likelihood of developing kidney stones. Results: A total of 17,258 subjects were recruited, with a prevalence of kidney stones at 8.9%. Through multiple logistic regression models and smooth curve fitting, we found that NPAR was associated with other inflammatory biomarkers (SII, PLR, NLR) and the presence of kidney stones. A nonlinear relationship with a saturation effect was observed, characterized by an L-shaped curve. The inflection points identified were 17.66, 1.06, 78.26, and 3.36. A positive correlation was noted on the left side of the inflection point, while a negative correlation was observed on the right side. In subgroup analysis, male participants and those with universal high school education exhibited a significantly increased incidence of kidney stones (P < 0.05). In ROC analysis, NPAR demonstrated the best discriminatory power and accuracy in predicting kidney stones compared to other inflammatory markers. Discussion: NPAR may serve as a superior biomarker of inflammation relative to other inflammatory biomarkers (SII, PLR, NLR). U.S. adults with elevated levels of NPAR, SII, PLR, and NLR should be cognizant of potential risks to kidney health. Biological sciences/Immunology Health sciences/Biomarkers Health sciences/Nephrology Kidney stone Neutrophil-Percentage-to-Albumin Ratio NHANES Cross-sectional study Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4890795","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":351674660,"identity":"f381f29e-c605-458e-b840-8f3cd01f2fa4","order_by":0,"name":"Shihan Guo","email":"","orcid":"","institution":"Hospital of Chengdu University of Traditional Chinese Medicine","correspondingAuthor":false,"prefix":"","firstName":"Shihan","middleName":"","lastName":"Guo","suffix":""},{"id":351674661,"identity":"6d30ec36-86c3-478f-9ec1-7d261782478d","order_by":1,"name":"Xu Jiao","email":"","orcid":"","institution":"Hospital of Chengdu University of Traditional Chinese Medicine","correspondingAuthor":false,"prefix":"","firstName":"Xu","middleName":"","lastName":"Jiao","suffix":""},{"id":351674662,"identity":"13567bd4-0957-40fb-b407-76412ee3f4bc","order_by":2,"name":"Yun Lu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyElEQVRIiWNgGAWjYBACNvnzDw58YGCGcYnQwi/Bw/hwBlALD9FaJGfwMBvzkKTF4HbvMWmbGuvE/eynExg+lB1m4J/dQEDLnXNp0jnH0hN7eHI3MM44d5hB4s4BAloOJJhJ5zYcTuyR4N3AzNt2mMFAIoEILZYwLX+J0SI5I8fYmBGmhZEYLfw8xxIf9hxLN+45k7vhYM+5dB6JGwS0sLE3Hzjwo8Zatr397MYHP8qs5fhnENCCAg4AMQ8J6kfBKBgFo2AU4AIArOJEAwIyWbsAAAAASUVORK5CYII=","orcid":"","institution":"Hospital of Chengdu University of Traditional Chinese Medicine","correspondingAuthor":true,"prefix":"","firstName":"Yun","middleName":"","lastName":"Lu","suffix":""}],"badges":[],"createdAt":"2024-08-10 08:36:08","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4890795/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4890795/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":72676945,"identity":"fcc79e3b-26fe-407e-be0d-86d3f778c68e","added_by":"auto","created_at":"2024-12-31 06:24:06","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":625373,"visible":true,"origin":"","legend":"","description":"","filename":"Manuscriptd1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4890795/v1_covered_50a809a9-fb50-42c2-b032-f65b05555d30.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Association between Neutrophil-Percentage-to-Albumin Ratio and Kidney Stones: A Cross-Sectional Study Using NHANES Data","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Kidney stone, Neutrophil-Percentage-to-Albumin Ratio, NHANES, Cross-sectional study","lastPublishedDoi":"10.21203/rs.3.rs-4890795/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4890795/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIntroduction: Our goal was to explore the potential association between the neutrophil-percentage-to-albumin-ratio (NPAR) and kidney stones.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eMethods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES), collected between 2007 and 2018. We employed multiple logistic regression models and smooth curve fitting to investigate the relationship between NPAR and other inflammatory biomarkers, including the systemic immune inflammation index (SII), platelet/lymphocyte ratio (PLR), and neutrophil/lymphocyte ratio (NLR), in relation to kidney stones. Independent relationships between these factors were assessed. Subgroup analysis revealed associations based on different population types. The study also evaluated the predictive ability of various inflammation markers in assessing the likelihood of developing kidney stones.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eResults: A total of 17,258 subjects were recruited, with a prevalence of kidney stones at 8.9%. Through multiple logistic regression models and smooth curve fitting, we found that NPAR was associated with other inflammatory biomarkers (SII, PLR, NLR) and the presence of kidney stones. A nonlinear relationship with a saturation effect was observed, characterized by an L-shaped curve. The inflection points identified were 17.66, 1.06, 78.26, and 3.36. A positive correlation was noted on the left side of the inflection point, while a negative correlation was observed on the right side. In subgroup analysis, male participants and those with universal high school education exhibited a significantly increased incidence of kidney stones (P \u0026lt; 0.05). In ROC analysis, NPAR demonstrated the best discriminatory power and accuracy in predicting kidney stones compared to other inflammatory markers.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eDiscussion: NPAR may serve as a superior biomarker of inflammation relative to other inflammatory biomarkers (SII, PLR, NLR). U.S. adults with elevated levels of NPAR, SII, PLR, and NLR should be cognizant of potential risks to kidney health.\u003c/p\u003e","manuscriptTitle":"Association between Neutrophil-Percentage-to-Albumin Ratio and Kidney Stones: A Cross-Sectional Study Using NHANES Data","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-09-11 06:10:13","doi":"10.21203/rs.3.rs-4890795/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"bd2326b7-069e-4051-bd5d-ea9ba24af4e5","owner":[],"postedDate":"September 11th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":37344358,"name":"Biological sciences/Immunology"},{"id":37344359,"name":"Health sciences/Biomarkers"},{"id":37344360,"name":"Health sciences/Nephrology"}],"tags":[],"updatedAt":"2024-12-31T06:23:38+00:00","versionOfRecord":[],"versionCreatedAt":"2024-09-11 06:10:13","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4890795","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4890795","identity":"rs-4890795","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}