Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 4:14:243.
doi: 10.4103/jehp.jehp_1262_24. eCollection 2025.

Predictive model for assessment of ICU delirium among patients in critical care units: Prospective observational study

Anushree Naik  1 , Melita Sheilini  2 , Souvik Chaudhuri  3 , Megha Sharma  4 , R Vani Lakshmi  5
Affiliations

Predictive model for assessment of ICU delirium among patients in critical care units: Prospective observational study

Anushree Naik et al. J Educ Health Promot. .

Abstract

Background: Delirium is a major neurocognitive/psychotic disorder that is secondary to another medical condition. However, its accurate prediction at the optimal time is often missed. The study predicted ICU delirium among patients admitted into intensive care units (ICU) by using PRE-DELIRIC and E-PRE-DELIRIC models and compared the performance of these models in identifying the predictors of this condition.

Methods and material: A prospective observational study was conducted with 350 patients admitted to ICUs who were aged more than 18 years. Using the E-PRE-DELIRIC and PRE-DELIRIC models, data were collected from consecutive patients within 24h of admission. The data were analyzed through descriptive and inferential statistics by using the Statistical Package for the Social Sciences (SPSS) 16.0 version.

Results: The receiver operating characteristic curve (ROC) was plotted using the sample positive for delirium and belonging to the category of more than 20% chance of developing delirium according to the E-PRE-DELIRIC and PRE-DELIRIC models. The area under the curve (AUC) values of the E-PRE-DELIRIC and PRE-DELIRIC scores were 0.717 and 0.760, respectively. PRE-DELRIC had a sensitivity and specificity of 76.9% and 62.7%, respectively, with the cut-off value being 26.50 for predicting delirium. The E-PRE-DELIRIC had a sensitivity and specificity of 71.0% and 67.3%, respectively, with the cut-off value being 30 for predicting delirium. A statistically significant association was observed between gender, occupation, comorbidity, and ICU delirium.

Conclusions: With a higher AUC and better sensitivity, the PRE-DELIRIC model was a comparatively better predictor of true-positive delirium cases.

Keywords: Adult; critical care; delirium; health psychosis; intensive care units; nursing care; patients; psychotic disorder.

PubMed Disclaimer

Conflict of interest statement

There are no conflicts of interest.

Figures

Figure 1
Figure 1
Conceptual framework on a predictive model for ICU delirium developed based on 3P disease model developed by Spielman et al. (1987)
Figure 2
Figure 2
Receiver operating characteristic curve (ROC) for early prediction model for delirium (E-PRE-DELIRIC)
Figure 3
Figure 3
Receiver operating characteristic curve (ROC) for the prediction model for delirium (PRE-DELIRIC)
See this image and copyright information in PMC

Similar articles

See all similar articles

References

    1. Fernandes F, Santos M, Anacleto AM, Jerónimo C, Ferreira Ó, Baixinho CL. Nursing Intervention to Prevent and Manage Delirium in Critically Ill Patients: A Scoping Review. Healthcare. 2024;12:1134. - PMC - PubMed
    1. Matsuura Y, Ohno Y, Toyoshima M, Ueno T. Effects of non-pharmacologic prevention on delirium in critically ill patients: A network meta-analysis. Nurs Crit Care. 2023;28:727–37. - PubMed
    1. Grover S, Sanjay L, Shiv B, Akhilesh S. Incidence, Prevalence and risk factors for delirium in elderly admitted to a coronary care unit. J Geriatr Ment Heal. 2014;1:45–53.
    1. Jeong IS, Cho MK. Factors affecting delirium in ICU patients. Int J Environ Res Public Health 20 2319. 20:5889. - PMC - PubMed
    1. Ní Chróinín D, Alexandrou E, Frost SA. Delirium in the intensive care unit and its importance in the post-operative context: A review. Front Med. 2023;10:1071854. - PMC - PubMed

LinkOut - more resources