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Secondary aim was to select an anticholinergic burden scale as a predictor.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Method<\/jats:title>\n                <jats:p>We used one cohort for model development and another for validation with electronically available data collected within the first 24\u00a0h of admission. Included were patients aged\u2009\u2265\u200965, hospitalised\u2009\u2265\u200948\u00a0h with no stay\u2009&gt;\u200924\u00a0h in an intensive care unit. Predictors, such as administrative and laboratory variables or an anticholinergic burden scale, were selected using a combination of feature selection filter method and forward\/backward selection. The final model was based on logistic regression and the DELIKT was derived from the \u03b2-coefficients. We report the following performance measures: area under the curve, sensitivity, specificity and odds ratio.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p>Both cohorts were similar and included over 10,000 patients each (mean age 77.6\u2009\u00b1\u20097.6\u00a0years) with 11% experiencing delirium. The model included nine variables: age, medical department, dementia, hemi-\/paraplegia, catheterisation, potassium, creatinine, polypharmacy and the anticholinergic burden measured with the Clinician-rated Anticholinergic Scale (CrAS). The external validation yielded an AUC of 0.795. With a cut-off at\u200920 points in the DELIKT, we received a sensitivity of 79.7%, specificity of 62.3% and an odds ratio of 5.9 (95% CI 5.2,\u00a06.7).<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p>The DELIKT is a potentially automatic tool with predictors from standard care including the CrAS to identify patients at high risk for delirium.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1007\/s11096-023-01566-0","type":"journal-article","created":{"date-parts":[[2023,4,15]],"date-time":"2023-04-15T18:02:02Z","timestamp":1681581722000},"page":"1118-1127","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Predicting delirium in older non-intensive care unit inpatients: development and validation of the DELIrium risK Tool (DELIKT)"],"prefix":"10.1007","volume":"45","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8697-492X","authenticated-orcid":false,"given":"Angela E.","family":"Schulthess-Lisibach","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Gallucci","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Val\u00e9rie","family":"Benelli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ramona","family":"K\u00e4lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sven","family":"Schulthess","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marco","family":"Cattaneo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick E.","family":"Beeler","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chantal","family":"Csajka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Monika","family":"Lutters","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,4,15]]},"reference":[{"key":"1566_CR1","doi-asserted-by":"publisher","first-page":"911","DOI":"10.1016\/S0140-6736(13)60688-1","volume":"383","author":"SK Inouye","year":"2014","unstructured":"Inouye SK, Westendorp RGJ, Saczynski JS. 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