Follow-up study to explore the relationship between Neutrophil to lymphocyte ratio and impaired fasting glucose: using the Group- Based Trajectory Modeling

Follow-up study to explore the relationship between Neutrophil to lymphocyte ratio and impaired fasting glucose: using the Group- Based Trajectory Modeling | 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 Follow-up study to explore the relationship between Neutrophil to lymphocyte ratio and impaired fasting glucose: using the Group- Based Trajectory Modeling Xuekui Liu, GangShan Peng, Ran Liu, Xiu Zang, Caiyan Zou, Haojie Sun, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4007317/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Jun, 2024 Read the published version in Scientific Reports → Version 1 posted 10 You are reading this latest preprint version Abstract Background and objective: Previous studies have reported an association between neutrophil to lymphocyte ratio (NLR) and impaired fasting glucose (IFG), but the conclusions were controversial. A follow-up study in the real world can observe the occurrence of diseases and verify the relationship between NLR and IFG. Methods: A total of 1,168 patients without prediabetes or T2DM were followed up for six years. At baseline, participants' NLR levels, fasting plasma glucose and other clinical characteristics were recorded. During the follow-up period, NLR levels and the prevalence of IFG were recorded. Ultimately, 45 individuals were lost to follow-up, leaving 1,123 participants for analysis. Using Group-Based Trajectory Modeling (GBTM), the sample was divided into three groups. Results: The prevalence of IFG in the three groups was 12.1%, 19.4%, and 20.85%, respectively. Compared with the low-level NLR group, the hazard ratio of IFG in the moderate-level NLR group and high-level NLR group were 1.628 (1.109-2.390) and 1.575 (1.001-2.497), respectively, after adjusting for sex, age, and other variables. There was a significant interaction effect of BMI and NLR on the risk of IFG (P < 0.001). Conclusion: In this real-world follow-up study, we observed a positive association between NLR and the risk of IFG, with this relationship being exacerbated by obesity status. Health sciences/Endocrinology Health sciences/Medical research Neutrophil to lymphocyte ratio Impaired fasting glucose Body mass index Group-Based Trajectory Modeling Figures Figure 1 Figure 2 Figure 3 Figure 4 Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementFigure5.pdf Cite Share Download PDF Status: Published Journal Publication published 18 Jun, 2024 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 23 May, 2024 Reviews received at journal 18 May, 2024 Reviewers agreed at journal 17 May, 2024 Reviews received at journal 16 May, 2024 Reviewers agreed at journal 16 May, 2024 Reviewers invited by journal 09 May, 2024 Editor assigned by journal 06 May, 2024 Editor invited by journal 01 Apr, 2024 Submission checks completed at journal 27 Mar, 2024 First submitted to journal 02 Mar, 2024 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. 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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-4007317","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":284383446,"identity":"e1c430b6-eaa5-48cf-bf7e-8df015e75b3f","order_by":0,"name":"Xuekui Liu","email":"","orcid":"","institution":"Department of Endocrinology, Xuzhou Central Hospital, Xuzhou Medical University Affiliated Xuzhou clinical collage, Jiangsu, 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2","display":"","copyAsset":false,"role":"figure","size":14134,"visible":true,"origin":"","legend":"\u003cp\u003eThe trajectories of long-term normal NLR by GBTM.\u003c/p\u003e","description":"","filename":"Binder11.png","url":"https://assets-eu.researchsquare.com/files/rs-4007317/v1/d6cf507a1bce5f1d53879c27.png"},{"id":53881379,"identity":"e30cd3e4-06b6-4754-80d7-0813dff8d2c1","added_by":"auto","created_at":"2024-04-01 17:53:02","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":38456,"visible":true,"origin":"","legend":"\u003cp\u003eThe time-event curve for the risk of developing prediabetes in different groups\u003c/p\u003e","description":"","filename":"Binder12.png","url":"https://assets-eu.researchsquare.com/files/rs-4007317/v1/2af95cbc0dd37013d044e4cd.png"},{"id":53881380,"identity":"483183c1-88d5-4657-8fd0-1ae680746b70","added_by":"auto","created_at":"2024-04-01 17:53:02","extension":"png","order_by":4,"title":"Figure 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Modeling","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Neutrophil to lymphocyte ratio, Impaired fasting glucose, Body mass index, Group-Based Trajectory Modeling","lastPublishedDoi":"10.21203/rs.3.rs-4007317/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4007317/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground and objective: \u003c/strong\u003ePrevious studies have reported an association between neutrophil to lymphocyte ratio (NLR) and impaired fasting glucose (IFG), but the conclusions were controversial. A follow-up study in the real world can observe the occurrence of diseases and verify the relationship between NLR and IFG.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eA total of 1,168 patients without prediabetes or T2DM were followed up for six years. At baseline, participants' NLR levels, fasting plasma glucose and other clinical characteristics were recorded. During the follow-up period, NLR levels and the prevalence of IFG were recorded. Ultimately, 45 individuals were lost to follow-up, leaving 1,123 participants for analysis. Using Group-Based Trajectory Modeling (GBTM), the sample was divided into three groups.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults:\u003c/strong\u003e The prevalence of IFG in the three groups was 12.1%, 19.4%, and 20.85%, respectively. Compared with the low-level NLR group, the hazard ratio of IFG in the moderate-level NLR group and high-level NLR group were 1.628 (1.109-2.390) and 1.575 (1.001-2.497), respectively, after adjusting for sex, age, and other variables. There was a significant interaction effect of BMI and NLR on the risk of IFG (P \u0026lt; 0.001).\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion:\u003c/strong\u003e In this real-world follow-up study, we observed a positive association between NLR and the risk of IFG, with this relationship being exacerbated by obesity status.\u003c/p\u003e","manuscriptTitle":"Follow-up study to explore the relationship between Neutrophil to lymphocyte ratio and impaired fasting glucose: using the Group- Based Trajectory Modeling","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-04-01 17:52:57","doi":"10.21203/rs.3.rs-4007317/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2024-05-23T18:39:32+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-05-18T05:41:20+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"238832596253893499021656986753878663790","date":"2024-05-17T06:45:52+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2024-05-17T03:14:16+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"67616008186676519998843206998759933922","date":"2024-05-16T16:35:06+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2024-05-09T12:55:08+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2024-05-06T09:54:48+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2024-04-01T12:39:56+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2024-03-27T06:55:24+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2024-03-03T02:17:53+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"98df5c7c-4400-4c59-84a0-0292b23b0fb0","owner":[],"postedDate":"April 1st, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"published-in-journal","subjectAreas":[{"id":29937261,"name":"Health sciences/Endocrinology"},{"id":29937262,"name":"Health sciences/Medical research"}],"tags":[],"updatedAt":"2024-06-21T15:29:41+00:00","versionOfRecord":{"articleIdentity":"rs-4007317","link":"https://doi.org/10.1038/s41598-024-64701-5","journal":{"identity":"scientific-reports","isVorOnly":false,"title":"Scientific Reports"},"publishedOn":"2024-06-18 15:29:41","publishedOnDateReadable":"June 18th, 2024"},"versionCreatedAt":"2024-04-01 17:52:57","video":"","vorDoi":"10.1038/s41598-024-64701-5","vorDoiUrl":"https://doi.org/10.1038/s41598-024-64701-5","workflowStages":[]},"version":"v1","identity":"rs-4007317","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4007317","identity":"rs-4007317","version":["v1"]},"buildId":"WrCJVZZCHTDjtuVLN7oU0","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}