Abstract

Objective:

This methodological study was conducted in order to carry out the adaptation and validation of the “PRE-DELIRIC score” prediction of delirium model in Türkiye among patients hospitalized in the intensive care unit (ICU).

Materials and Methods:

The research involved 172 patients treated in the intensive care units of a training and research hospital between October 2019 and April 2020. The study data were collected using (1) a data collection form to determine the participants’ descriptive characteristics, (2) the PRE-DELIRIC score, and (3) the Confusion Assessment Method for the ICU (CAM-ICU). Receiver operating characteristic (ROC) analysis and diagnostic screening tests were applied for the purpose of determining cut-off points for the groups. The scores’ sensitivity and specificity were calculated. Significance was evaluated at the p<0.05 level.

Results:

A statistically significant association was determined between the cut-off point obtained for the PRE-DELIRIC score (≥7.58%) and the study groups (p=0.003). Patients with PRE-DELIRIC scores of 7.58 or higher exhibited a 7.404-fold greater risk of being CAM-ICU-positive [odds ratio: 7.404; 95% confidence interval (CI): 1.638-33.469]. The area under the ROC curve was 64.9% (95% CI: 0.538-0.760), and the standard error was 5.6% (p=0.044).

Conclusion:

The PRE-DELIRIC score yielded reliable results in this study. It appears significant for patients with a likelihood of developing delirium within the ICU, and its use is recommended as a functional score that is easily applied and calculated.

Keywords: Critical care, PRE-DELIRIC, delirium, model

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Copyright and license

Copyright © 2023 The Author(s). This is an open access article distributed under the Creative Commons Attribution License (CC BY), which permits unrestricted use, distribution, and reproduction in any medium or format, provided the original work is properly cited.

How to cite?

1.
Sayılan S, Özen V, Tosun B, Aydın Sayılan A, Özen N. An Evaluation of the PRE-DELIRIC (PREdiction of DELIRium in ICu Patients) Delirium Prediction Model in Intensive Care Units in Türkiye. Turk J Intensive Care. 2023;21(3):162-170. https://doi.org/10.4274/tybd.galenos.2022.48243