@article {Matsuokae000827, author = {Ayaka Matsuoka and Toru Miike and Mariko Miyazaki and Taku Goto and Akira Sasaki and Hirotaka Yamazaki and Moe Komaki and Masahiro Higuchi and Kosuke Mori and Kota Shinada and Kento Nakayama and Ryota Sakurai and Miho Asahi and Akiko Futami and Kunimasa Yoshitake and Shougo Narumi and Mayuko Koba and Hiroyuki Koami and Atsushi Kawaguchi and Toru Hirachi Murakawa and Akira Monji and Yuichirou Sakamoto}, title = {Development of a delirium predictive model for adult trauma patients in an emergency and critical care center: a retrospective study}, volume = {6}, number = {1}, elocation-id = {e000827}, year = {2021}, doi = {10.1136/tsaco-2021-000827}, publisher = {BMJ Specialist Journals}, abstract = {Background Delirium has been shown to prolong the length of intensive care unit stay, hospitalization, and duration of ventilatory control, in addition to increasing the use of sedatives and increasing the medical costs. Although there have been a number of reports referring to risk factors for the development of delirium, no model has been developed to predict delirium in trauma patients at the time of admission. This study aimed to create a scoring system that predicts delirium in trauma patients.Methods In this single-center, retrospective, observational study, trauma patients aged 18 years and older requiring hospitalization more than 48 hours were included and divided into the development and validation cohorts. Univariate analysis was performed in the development cohort to identify factors significantly associated with prediction of delirium. The final scoring system for predicting delirium was developed using multivariate analysis and internal validation was performed.Results Of the 308 patients in the development cohort, 91 developed delirium. Clinical Frailty Score, fibrin/fibrinogen degradation products, low body mass index, lactate level, and Glasgow Coma Scale score were independently associated with the development of delirium. We developed a scoring system using these factors and calculated the delirium predictive score, which had an area under the curve of 0.85. In the validation cohort, 46 of 206 patients developed delirium. The area under the curve for the validation cohort was 0.86, and the calibration plot analysis revealed the scoring system was well calibrated in the validation cohort.Discussion This scoring system for predicting delirium in trauma patients consists of only five risk factors. Delirium prediction at the time of admission may be useful in clinical practice.Level of evidence Prognostic and epidemiological, level III.All data relevant to the study are included in the article or uploaded as supplementary information.}, URL = {https://tsaco.bmj.com/content/6/1/e000827}, eprint = {https://tsaco.bmj.com/content/6/1/e000827.full.pdf}, journal = {Trauma Surgery \& Acute Care Open} }