Determining the risk of delirium in the intensive care unit using e-pre-deliric model

INTRODUCTION: This study aims to determine the sensitivity and selectivity of the "E-pre-deliric Early Prediction Model" used in the evaluation of delirium in primary care intensive care unit patients in determining the risk of delirium. MATERIALS AND METHODS: The research is a prospective, longitudinal and observational study. The population of the study consists of 117 individuals who were hospitalized in the primary care unit of a state hospital located in Sakarya, Turkey between 15.04.2022 and 15.06.2022. The study sample consists of 81 individuals, who met the inclusion criteria and themselves or their relatives gave consent to be included in the study. Data of the participants were collected using a patient assessment form (PAS), E-pre-deliric Early Prediction Model, Glasgow Coma Scale (GCS), Visual Analogue Scale (VAS), Richmond Agitation and Sedation Scale (RASS) and the Confusion Assessment Method in the Intensive Care Unit (CAM-ICU). RESULTS: The study observed that five (6.2%) of 81 participants developed delirium. According to the results of the repeated measurements evaluations made using the VAS, RASS, GKS and CAM-ICU, a statistically significant difference was observed among participants who developed or did not develop delirium (p<0.05). The study evaluated the E-predeliric model and the CAM-ICU and found a statistically significant fit in determining the development of delirium for both scales (Kappa=0.159 p<0.05, Kappa=1, p<0.05). The cut off value is determined as 0.24 with 100% sensitivity and 60.5% specificity in the study conducted using the E-pre-deliric model. CONCLUSION: The study showed that the E-predeliric model is a marker with high sensitivity in predicting the risk of developing delirium and distinguishing individuals who develop or do not develop delirium. KEY WORDS: Delirium, Nursing Care, Intensive Care Unit, CAM-ICU, Delirium Early Prediction Model, E-pre-deliric