Özet:

Delirium is a common problem in intensive care units (ICU) and is associated with adverse patient outcomes such as increased mechanical ventilation (MV) duration, higher mortality, and greater longer-term cognitive dysfunction. Therefore, early detection of delirium is important. The aim of this study was to prospectively evaluate the predictive ability of a delirium early detection model in ICU patients. The study was conducted as a single-center prospective study between March 2022 and May 2022. The study included patients aged over 18 years who were admitted to the intensive care unit during the study period and expected to be followed up for longer than 24 hours. The data of the study were collected with the “Patient Identification Form”, “The Confusion Assessment Method for ICU”, “Richmond Agitation Sedation Scale” and the recalibrated “PRE-DELIRIC model”. The sample of the study consisted of 188 patients who met the inclusion criteria within the specified date range. The area under the ROC curve (AUROC) according to the mean PRE-DELIRIC score (30.32±8.36) in patients with delirium showed that the discriminative power of the model in predicting delirium was significant as 0.937 (95% confidence interval: 0.903-0.972) (p=0.001). In conclusion, it has been determined that the recalibrated PRE-DELIRIC model has good discriminative properties in determining the risk of delirium in ICU patients. This easy-to-calculate model will help nurses and physicians predict the risk of delirium in patients and take the necessary precautions in the early stages.