{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T06:33:16Z","timestamp":1777357996087,"version":"3.51.4"},"reference-count":34,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T00:00:00Z","timestamp":1777334400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Psychiatry"],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>This study aims to develop and validate a machine learning-based risk prediction model for subsyndromal delirium (SSD) in ICU patients, while identifying key risk factors.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Method<\/jats:title>\n                    <jats:p>This study was a prospective study, selecting patients who were hospitalized in the ICU from October 2024 to May 2025. We compared seven machine learning algorithms: Random Forest (RF), Decision Tree (DT), K-Nearest Neighbor (KNN), Logistic Regression (LR), Elastic Network (EN), Extreme Gradient Enhancement (XGB), and Support Vector Machine (SVM).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Result<\/jats:title>\n                    <jats:p>In our study, the prevalence rate of SSD was 37.158%. The comparative analysis shows that XGB is the best predictive model (AUC\u00a0=\u00a00.84). Feature importance analysis identified four significant predictive factors: Use of vasoactive drugs (0.412), Monthly household income (0.306), Undergone surgery (0.191) and Number of Medications (0.036).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The prediction model based on XGB has a good effect in identifying the risk of SSD in ICU patients. These findings enable clinicians to stratify high-risk groups and implement timely and targeted intervention measures, effectively reducing the risk of adverse consequences. Future multicenter studies should validate these results in larger cohorts.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fpsyt.2026.1742731","type":"journal-article","created":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T05:35:18Z","timestamp":1777354518000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["A prospective cohort study on the incidence and influencing factors of subsyndromal delirium in ICU patients"],"prefix":"10.3389","volume":"17","author":[{"given":"Ying","family":"Li","sequence":"first","affiliation":[{"name":"College of Sports Science, Jishou University","place":["Jishou, Hunan, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jieling","family":"Huang","sequence":"additional","affiliation":[{"name":"Faculty of Health Sciences and Sports Education, Macao Polytechnic University","place":["Macao, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiuhong","family":"Wang","sequence":"additional","affiliation":[{"name":"Intensive Care Unit, Shandong Provincial Third Hospital","place":["Jinan, Shandong, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuefei","family":"Pan","sequence":"additional","affiliation":[{"name":"Neurocritical Care Unit, Nanjing Gaochun People\u2019s Hospital","place":["Nanjing, Jiangsu, China"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2026,4,28]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1038\/s41572-020-00236-z","article-title":"Delirium","volume":"6","author":"Wilson","year":"2020","journal-title":"Nat Rev Dis Primers"},{"key":"B2","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyt.2025.1461707","article-title":"Incidence and influencing factors of subsyndromal delirium in elderly patients with 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