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Data were collected on participant demographics, comorbidities, medications,\n                      <jats:styled-content style=\"fixed-case\">ED<\/jats:styled-content>\n                      course, hospital and intensive care unit (\n                      <jats:styled-content style=\"fixed-case\">ICU<\/jats:styled-content>\n                      ) admission, length of stay, hospital charges, 30\u2010day rehospitalization, and mortality.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Nine percent of elderly study participants had delirium. Using logistic regression, a delirium prediction rule consisting of older age, prior stroke or transient ischemic attack, dementia, suspected infection, and acute intracranial hemorrhage was created had good predictive accuracy (area under the receiver operating characteristic curve\u00a0=\u00a00.77). Admitted participants with\n                      <jats:styled-content style=\"fixed-case\">ED<\/jats:styled-content>\n                      delirium had longer median lengths of stay (4 vs 2\u00a0days) and were more likely to require\n                      <jats:styled-content style=\"fixed-case\">ICU<\/jats:styled-content>\n                      admission (13% vs 6%) and to be discharged to a new long\u2010term care facility (37% vs 9%) than those without. In all participants,\n                      <jats:styled-content style=\"fixed-case\">ED<\/jats:styled-content>\n                      delirium was associated with higher 30\u2010day mortality (6% vs 1%) and 30\u2010day readmission (27% vs 13%).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>\n                      This risk prediction rule may help identify a group of individuals in the\n                      <jats:styled-content style=\"fixed-case\">ED<\/jats:styled-content>\n                      at high risk of developing delirium who should undergo screening, but it requires external validation. Identification of delirium in the\n                      <jats:styled-content style=\"fixed-case\">ED<\/jats:styled-content>\n                      may enable physicians to implement strategies to decrease delirium duration and avoid inappropriate discharge of individuals with acute delirium, improving outcomes.\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/jgs.12692","type":"journal-article","created":{"date-parts":[[2014,2,12]],"date-time":"2014-02-12T02:17:27Z","timestamp":1392171447000},"page":"462-469","source":"Crossref","is-referenced-by-count":189,"title":["Delirium Risk Prediction, Healthcare Use and Mortality of Elderly Adults in the Emergency Department"],"prefix":"10.1111","volume":"62","author":[{"given":"Maura","family":"Kennedy","sequence":"first","affiliation":[{"name":"Department of Emergency Medicine Beth Israel Deaconess Medical Center Boston Massachusetts"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Richard 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