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New Cutoff Scores for Delirium Screening Tools to Predict Patient Mortality.

Authors :
Yamanashi T
Iwata M
Crutchley KJ
Sullivan EJ
Malicoat JR
Anderson ZM
Marra PS
Chang G
Kaneko K
Shinozaki E
Lee S
Shinozaki G
Source :
Journal of the American Geriatrics Society [J Am Geriatr Soc] 2021 Jan; Vol. 69 (1), pp. 140-147. Date of Electronic Publication: 2020 Sep 09.
Publication Year :
2021

Abstract

Background/objectives: Detecting delirium is important to identify patients with a high risk of poor outcomes. Although many different kinds of screening instruments for delirium exist, there is no solid consensus about which methods are the most effective. In addition, it is important to find the most useful tools in predicting outcomes such as mortality.<br />Design: Retrospective cohort study.<br />Setting: University of Iowa Hospitals and Clinics.<br />Participants: A total of 1,125 adult inpatients (mean age = 67.7; median age = 69).<br />Measurements: Post hoc analyses were performed based on existing data from the Confusion Assessment Method for Intensive Care Unit (CAM-ICU), Delirium Rating Scale-Revised-98 (DRS), and the Delirium Observation Screening Scale (DOSS). Correlation among these scales and relationships between 365-day mortality and each scale were evaluated.<br />Results: A positive result on the CAM-ICU ("CAM-ICU positive") was associated with higher DRS and DOSS scores. A DRS score = 9/10 was the best cutoff to detect CAM-ICU positive, and DOSS = 2/3 was the best cutoff to detect CAM-ICU positive. CAM-ICU positive was associated with high 365-day mortality. DRS score = 9/10 and DOSS score = 0/1 were found to differentiate mortality risk the most significantly. Higher DRS and DOSS scores significantly coincided with a decrease in a patient's survival rate at 365 days.<br />Conclusion: The best DRS and DOSS cutoff scores to differentiate 365-day mortality risk were lower than those commonly used to detect delirium in the literature. New cutoff scores for the DRS and DOSS might be useful in differentiating risk of mortality among hospital patients.<br /> (© 2020 The American Geriatrics Society.)

Details

Language :
English
ISSN :
1532-5415
Volume :
69
Issue :
1
Database :
MEDLINE
Journal :
Journal of the American Geriatrics Society
Publication Type :
Academic Journal
Accession number :
32905636
Full Text :
https://doi.org/10.1111/jgs.16815