Factors predicting suicidality in patients with major depressive disorder

Factors predicting suicidality in patients with major depressive disorder | 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 Factors predicting suicidality in patients with major depressive disorder Jen-Ping Chen, Chih-Ming Cheng, Cheng-Ta Li This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4295998/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: Suicide is a serious complication for patients with major depressive disorder (MDD). However, there has not been a broadly accepted scoring system for the assessment of suicidal risk in these patients. This study developed a new model to estimate the risk of suicide in patients with MDD through clinical and sociodemographic factors. Methods: A total of 288 patients with MDD who made their first visit to our outpatient department were enrolled. Objective variables were thoroughly assessed and evaluated. Suicidal ideation was used as the dependent variable. Univariable logistic regression was used for the selection of variables. Multivariable logistic regression was performed for the selected variables to build our model, and an ROC curve was generated for analysis. Results: Past suicidal attempt ( p <0.001), number of failed antidepressant categories ( p =0.001), disease onset earlier than 25 years old ( p =0.011), high disease severity ( p =0.002), previous psychiatric ward admission ( p =0.001), and recurrent MDD ( p =0.045) were found to lead to higher suicide risks. A six-item model including these factors was then derived from the multivariable logistic regression (area under curve = 0.768, p < 0.001). Conclusion: Six clinical variables were included in our model. This model can serve as a valuable reference to prompt the modification and invention of alternative rating scales in the future. suicidal risk suicidal ideation major depressive disorder treatment-resistant depression Maudsley Staging Method Full Text Additional Declarations No competing interests reported. Associated Publications 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-4295998","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[{"doi":"10.30126/JoS.202406_19(2).0005","date":"","title":"","authors":"","journal":"","logo":""}],"authors":[{"id":293913885,"identity":"6a00bf05-04fc-40c2-8e60-23fb7e08af30","order_by":0,"name":"Jen-Ping Chen","email":"","orcid":"","institution":"Taipei Veterans General Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jen-Ping","middleName":"","lastName":"Chen","suffix":""},{"id":293913886,"identity":"c9cc0b10-0c18-40f1-94b5-f90b125e2492","order_by":1,"name":"Chih-Ming Cheng","email":"","orcid":"","institution":"Taipei Veterans General Hospital","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Chih-Ming","middleName":"","lastName":"Cheng","suffix":""},{"id":293913887,"identity":"1d816968-739f-4126-9749-94854dde2ace","order_by":2,"name":"Cheng-Ta Li","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAoklEQVRIiWNgGAWjYFAC/gcHPvywIUkLD+PDmT1ppGlhNuZhO0yKs6R7j0nO4DkfLT+7gfHDxxwitEjOOZcm8cHidu6GOweYJWduI0KLwY0EM6AtQC0SCWzMvMRqkeZhO5c7fwbxWnKMgd4/kNtwg1gtkjPSEoGBnJy74UZiM3F+4ZdIPgCMSjugw5IPfvhIjBYkwNhAmvpRMApGwSgYBbgBAKCqOUdZyjIDAAAAAElFTkSuQmCC","orcid":"","institution":"Taipei Veterans General Hospital","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Cheng-Ta","middleName":"","lastName":"Li","suffix":""}],"badges":[],"createdAt":"2024-04-20 05:55:54","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4295998/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4295998/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":69642988,"identity":"85277090-7399-4bed-aa99-507a05492a66","added_by":"auto","created_at":"2024-11-22 14:27:39","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":488911,"visible":true,"origin":"","legend":"","description":"","filename":"Factorspredictingsuicidalityinpatientswithmajordepressivedisorder.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4295998/v1_covered_922ac538-7371-4aff-9a96-a21eb320f81c.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Factors predicting suicidality in patients with major depressive disorder","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":"suicidal risk, suicidal ideation, major depressive disorder, treatment-resistant depression, Maudsley Staging Method","lastPublishedDoi":"10.21203/rs.3.rs-4295998/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4295998/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003ePurpose: \u003c/strong\u003eSuicide is a serious complication for patients with major depressive disorder (MDD). However, there has not been a broadly accepted scoring system for the assessment of suicidal risk in these patients. This study developed a new model to estimate the risk of suicide in patients with MDD through clinical and sociodemographic factors.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods: \u003c/strong\u003eA total of 288 patients with MDD who made their first visit to our outpatient department were enrolled. Objective variables were thoroughly assessed and evaluated. Suicidal ideation was used as the dependent variable. Univariable logistic regression was used for the selection of variables. Multivariable logistic regression was performed for the selected variables to build our model, and an ROC curve was generated for analysis.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eResults: \u003c/strong\u003ePast suicidal attempt (\u003cem\u003ep\u003c/em\u003e\u0026lt;0.001), number of failed antidepressant categories (\u003cem\u003ep\u003c/em\u003e=0.001), disease onset earlier than 25 years old (\u003cem\u003ep\u003c/em\u003e=0.011), high disease severity (\u003cem\u003ep\u003c/em\u003e=0.002), previous psychiatric ward admission (\u003cem\u003ep\u003c/em\u003e=0.001), and recurrent MDD (\u003cem\u003ep\u003c/em\u003e=0.045) were found to lead to higher suicide risks. A six-item model including these factors was then derived from the multivariable logistic regression (area under curve = 0.768, \u003cem\u003ep\u003c/em\u003e \u0026lt; 0.001).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConclusion: \u003c/strong\u003eSix clinical variables were included in our model. 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