The PREdiction of DELIRium for Intensive Care (PRE-DELIRIC) model reliably predicts at 24 h the development of delirium during intensive care admission. However, the model does not take account of alcohol misuse, which has a high prevalence in Scottish intensive care patients. We used the PRE-DELIRIC model to calculate the risk of delirium for patients in our ICU from May to July 2013. These patients were screened for delirium on each day of their ICU stay using the Confusion Assessment Method for ICU (CAM-ICU). Outcomes were ascertained from the national ICU database. In the 39 patients screened daily, the risk of delirium given by the PRE-DELIRIC model was positively associated with prevalence of delirium, length of ICU stay and mortality. The PRE-DELIRIC model can therefore be usefully applied to a Scottish cohort with a high prevalence of substance misuse, allowing preventive measures to be targeted.
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http://dx.doi.org/10.1177/1751143716638373 | DOI Listing |
Background: Several risk prediction models are used in intensive care units (ICUs) to detect delirium risk.
Objective: The aim of this study was to compare the sex-specific validity of the Prediction of Delirium in ICU patients (PRE-DELIRIC) and Early Prediction of Delirium in ICU patients (E-PRE-DELIRIC) models for predicting delirium in ICU patients after cardiac surgery.
Methods: Retrospective data from electronic medical records of ICU patients who underwent cardiac surgery between January 2019 and December 2022 were examined.
J Clin Anesth
November 2024
Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan.
Background: Delirium is a common complication in intensive care unit (ICU) patients. It can lead to various adverse events. In this study, we investigated the effectiveness of combining the use of the PREdiction of DELIRium (PRE-DELIRIC) model for delirium risk assessment and the use of a multicomponent care bundle for delirium assessment, prevention, and care in terms of reductions in the incidence of delirium among surgical ICU patients.
View Article and Find Full Text PDFCureus
June 2024
Intensive Care Unit, Rashid Hospital, Dubai Health, Dubai, ARE.
Delirium is a significant public health concern, with tremendous implications for patient outcomes. Intensive care unit (ICU)-related delirium is gaining attention due to the higher prevalence of delirium in ICU-admitted patients. The most common negative outcomes of ICU delirium include cognitive impairments, functional dependence, high incidence of mortality, extended stay in the ICU, and high costs.
View Article and Find Full Text PDFActa Anaesthesiol Scand
March 2024
Department of Anesthesiology and Intensive Care, Zealand University Hospital, Koege, Denmark.
Background: Delirium is a clinical condition characterized by an acute change in brain function and is frequently observed in critically ill patients. The condition has been associated with negative outcomes, making it crucial to identify patients who are at risk. Two recent prediction models have been developed to estimate the risk of delirium in intensive care unit (ICU) patients; the prediction model for delirium (PRE-DELIRIC) and the early prediction model for delirium (E-PRE-DELIRIC).
View Article and Find Full Text PDFEur Rev Med Pharmacol Sci
November 2023
Department of Anesthesiology and Reanimation, Ankara Atatürk Sanatoryum Training and Research Hospital, Kecioren, Ankara, Turkey.
Objective: This study's objective was to compare the effectiveness of the delirium prediction model (pre-deliric) and the early prediction model (E-pre-deliric) in delirium prediction in an intensive care unit (ICU) according to the Intensive Care Delirium Screening Checklist (ICDSC). Our aim was to determine these models' usability and cut-off values for ICU patients.
Patients And Methods: We classified the studied patients based on their highest ICDSC scores (tested twice daily) during ICU hospitalization.
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