Predicting risk factors for postoperative enterostenosis in neonates with necrotizing enterocolitis：development and assessment of a predictive nomogram

Predicting risk factors for postoperative enterostenosis in neonates with necrotizing enterocolitis：development and assessment of a predictive nomogram | 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 Predicting risk factors for postoperative enterostenosis in neonates with necrotizing enterocolitis：development and assessment of a predictive nomogram Yang Chen, Ling Zhou, Qianghui Liao, Dong Xiao, Ledao Zhu, Jinlong Yao, and 5 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4540918/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 Objective : The aim of this study was to develop and validate an enterostenosis prediction model for postoperative newborns with neonatal necrotizing enterocolitis (NEC). Methods : Clinical information was collected on neonates who had undergone anastomosis or enterostomy because of NEC. The least absolute shrinkage and selection operator regression was applied to identify risk factors included in the model for postoperative enterostenosis. Multivariate logistic regression analysis was used to develop a predicting model regression based on the selected variables. Then internal validation was assessed using the bootstrapping validation. The accuracy and applicability of the model are assessed by C-index, calibration and decision curve. Results : Predictors incorporated into the model were weight on admission, hematochezia, duration of abnormal C-reactive protein, lactate, intestinal peristalsis vanish, operation methods and duration of surgery. The regression equation was logit (P) = -0.001X1+1.566X2+0.185X3+0.304X4+1.34X5-2.932X6+0.015X7-3.193, where X1 was weight on admission (g), X2 was hematochezia (yes=1, no=0), X3 was duration of abnormal C-reactive protein (days), X4 was lactate (mmol/L), X5 was intestinal peristalsis vanish (yes=1, no=0), X6 was primary anastomosis (yes=1, no=0), X7 was duration of surgery (min). The model displayed good discrimination with a C-index of 0.879(0.827,0.932) by random sampling for 1000 times. The calibration curve excluded the overfitting performance, and the decision curve confirmed the clinical application capacity of the model. Conclusion : This nomogram of enterostenosis incorporating the use of weight on admission, hematochezia, duration of abnormal C-reactive protein, lactate, intestinal peristalsis vanish, operation methods and duration of surgery could be conveniently used to facilitate the enterostenosis risk prediction in postoperative NEC patients. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Full Text Additional Declarations No competing interests reported. Supplementary Files originaldata.xlsx 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-4540918","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":322749442,"identity":"43f20bf5-6ffd-4434-b301-da554c73fcf4","order_by":0,"name":"Yang Chen","email":"","orcid":"","institution":"Shenzhen Children's Hospital","correspondingAuthor":false,"prefix":"","firstName":"Yang","middleName":"","lastName":"Chen","suffix":""},{"id":322749443,"identity":"df4f307f-f74c-424e-ac15-df91c328430a","order_by":1,"name":"Ling Zhou","email":"","orcid":"","institution":"Shenzhen Children's 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2","display":"","copyAsset":false,"role":"figure","size":74411,"visible":true,"origin":"","legend":"\u003cp\u003eThe optimal solution was obtained through 5 times of cross certification\u003c/p\u003e","description":"","filename":"Fig2.crosscertification.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4540918/v1/0c79165a9b76a0a1ac8ecdd6.jpg"},{"id":60610618,"identity":"2e548720-2dc7-4634-9781-ef39691a90b0","added_by":"auto","created_at":"2024-07-18 18:27:00","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":196252,"visible":true,"origin":"","legend":"\u003cp\u003eThe calibration curves of the nomogram for complete enteral nutrition\u003c/p\u003e","description":"","filename":"Fig3.nomogram.jpg","url":"https://assets-eu.researchsquare.com/files/rs-4540918/v1/2140f6f85ac45777500f86b1.jpg"},{"id":60610622,"identity":"ef119d51-14ca-48a2-9c08-5c4b954c1db2","added_by":"auto","created_at":"2024-07-18 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nomogram","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 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The least absolute shrinkage and selection operator regression was applied to identify risk factors included in the model for postoperative enterostenosis. Multivariate logistic regression analysis was used to develop a predicting model regression based on the selected variables. Then internal validation was assessed using the bootstrapping validation. The accuracy and applicability of the model are assessed by C-index, calibration and decision curve.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults\u003c/strong\u003e: Predictors incorporated into the model were weight on admission, hematochezia, duration of abnormal C-reactive protein, lactate, intestinal peristalsis vanish, operation methods and duration of surgery. The regression equation was logit (P) = -0.001X1+1.566X2+0.185X3+0.304X4+1.34X5-2.932X6+0.015X7-3.193, where X1 was weight on admission (g), X2 was hematochezia (yes=1, no=0), X3 was duration of abnormal C-reactive protein (days), X4 was lactate (mmol/L), X5 was intestinal peristalsis vanish (yes=1, no=0), X6 was primary anastomosis (yes=1, no=0), X7 was duration of surgery (min). The model displayed good discrimination with a C-index of 0.879(0.827,0.932) by random sampling for 1000 times. The calibration curve excluded the overfitting performance, and the decision curve confirmed the clinical application capacity of the model.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion\u003c/strong\u003e: This nomogram of enterostenosis incorporating the use of weight on admission, hematochezia, duration of abnormal C-reactive protein, lactate, intestinal peristalsis vanish, operation methods and duration of surgery could be conveniently used to facilitate the enterostenosis risk prediction in postoperative NEC patients.\u003c/p\u003e","manuscriptTitle":"Predicting risk factors for postoperative enterostenosis in neonates with necrotizing enterocolitis：development and assessment of a predictive nomogram","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-07-18 18:26:56","doi":"10.21203/rs.3.rs-4540918/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":"1849e901-097e-48b1-83bd-b43fd3e5fe24","owner":[],"postedDate":"July 18th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2024-09-18T15:14:13+00:00","versionOfRecord":[],"versionCreatedAt":"2024-07-18 18:26:56","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-4540918","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-4540918","identity":"rs-4540918","version":["v1"]},"buildId":"qtupq5eGEP_6zYnWcrvyt","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}