Trajectory of thirst level in critically ill oncology patients: A group-based trajectory model

Trajectory of thirst level in critically ill oncology patients: A group-based trajectory model | 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 Research Article Trajectory of thirst level in critically ill oncology patients: A group-based trajectory model Xing Shu, Shuang Yang, Aiping Hu, Jiang Yuan, Xin Liu, Zewen Pan, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6488220/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 Purpose To investigate the trajectories and determinants of thirst level in critically ill oncology patients. Method A prospective, longitudinal, and observational study was conducted from November 2024 to February 2025 in a tertiary cancer hospital in Sichuan province, China. Thirst level were assessed by Critically Ill Patients’ Thirst Assessment Scale at five time points: upon admission to the intensive care unit (ICU), and at 6, 12, 18, and 24 hours post-admission. Group-based trajectory modeling and unordered multivariate logistic regression were applied to identify distinct trajectory among ICU patients and the determinants of trajectory group. Results Of the 209 patients included in the study, the majority (56.9%) were aged between 51 and 70 years, and 68.4% were male. Four group trajectories of thirst level were identified: persistent low-level group(15.36%), persistent middle-level group(42.91%), high-level rising group(20.29%), and high-level descending group(21.43%). With persistent low-level group as the reference category, patients with diagnosis of sepsis had lower likelihood to be classified in either persistent middle-level group( OR = 0.068, 95% CI : 0.006–0.829) or high-level descending group( OR = 0.032, 95% CI : 0.001–0.749). Elevated temperature increased the likelihood to be high-level rising group( OR = 4.172, 95% CI : 1.350-12.897). With persistent middle-level group as the reference category, patients with diagnosis of major surgery had a higher likelihood to high-level rising group( OR = 8.642, 95% CI : 1.025–72.858). Conclusions This study identified four distinct thirst level trajectory groups, emphasizing the importance of early risk stratification upon ICU admission. Utilizing indicators such as admission diagnosis and body temperature can enable more precise and timely thirst management strategies. Critical illness Thirst Group-based trajectory model Longitudinal study Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryAppendix.docx 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-6488220","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":466071976,"identity":"ac737a04-bc72-4149-b699-4ed94d18b279","order_by":0,"name":"Xing Shu","email":"","orcid":"","institution":"University of Electronic Science and Technology of China","correspondingAuthor":false,"prefix":"","firstName":"Xing","middleName":"","lastName":"Shu","suffix":""},{"id":466071977,"identity":"f5d58472-b21f-4c9b-898e-39c911ac6278","order_by":1,"name":"Shuang Yang","email":"","orcid":"","institution":"Sichuan Cancer Hospital \u0026 Institute, 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model","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":"Critical illness, Thirst, Group-based trajectory model, Longitudinal study","lastPublishedDoi":"10.21203/rs.3.rs-6488220/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6488220/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003ch2\u003ePurpose\u003c/h2\u003e \u003cp\u003eTo investigate the trajectories and determinants of thirst level in critically ill oncology patients.\u003c/p\u003e\u003ch2\u003eMethod\u003c/h2\u003e \u003cp\u003eA prospective, longitudinal, and observational study was conducted from November 2024 to February 2025 in a tertiary cancer hospital in Sichuan province, China. Thirst level were assessed by Critically Ill Patients\u0026rsquo; Thirst Assessment Scale at five time points: upon admission to the intensive care unit (ICU), and at 6, 12, 18, and 24 hours post-admission. Group-based trajectory modeling and unordered multivariate logistic regression were applied to identify distinct trajectory among ICU patients and the determinants of trajectory group.\u003c/p\u003e\u003ch2\u003eResults\u003c/h2\u003e \u003cp\u003eOf the 209 patients included in the study, the majority (56.9%) were aged between 51 and 70 years, and 68.4% were male. Four group trajectories of thirst level were identified: persistent low-level group(15.36%), persistent middle-level group(42.91%), high-level rising group(20.29%), and high-level descending group(21.43%). With persistent low-level group as the reference category, patients with diagnosis of sepsis had lower likelihood to be classified in either persistent middle-level group(\u003cem\u003eOR\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.068, 95%\u003cem\u003eCI\u003c/em\u003e: 0.006\u0026ndash;0.829) or high-level descending group(\u003cem\u003eOR\u003c/em\u003e\u0026thinsp;=\u0026thinsp;0.032, 95%\u003cem\u003eCI\u003c/em\u003e: 0.001\u0026ndash;0.749). Elevated temperature increased the likelihood to be high-level rising group(\u003cem\u003eOR\u003c/em\u003e\u0026thinsp;=\u0026thinsp;4.172, 95%\u003cem\u003eCI\u003c/em\u003e: 1.350-12.897). With persistent middle-level group as the reference category, patients with diagnosis of major surgery had a higher likelihood to high-level rising group(\u003cem\u003eOR\u003c/em\u003e\u0026thinsp;=\u0026thinsp;8.642, 95% \u003cem\u003eCI\u003c/em\u003e: 1.025\u0026ndash;72.858).\u003c/p\u003e\u003ch2\u003eConclusions\u003c/h2\u003e \u003cp\u003eThis study identified four distinct thirst level trajectory groups, emphasizing the importance of early risk stratification upon ICU admission. Utilizing indicators such as admission diagnosis and body temperature can enable more precise and timely thirst management strategies.\u003c/p\u003e","manuscriptTitle":"Trajectory of thirst level in critically ill oncology patients: A group-based trajectory model","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-06-05 10:47:57","doi":"10.21203/rs.3.rs-6488220/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":"ebaa9494-fc11-46a2-a011-e51e30723c92","owner":[],"postedDate":"June 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-11-01T04:23:18+00:00","versionOfRecord":[],"versionCreatedAt":"2025-06-05 10:47:57","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6488220","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6488220","identity":"rs-6488220","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}