Journal article
New Cutoff Scores for Delirium Screening Tools to Predict Patient Mortality
Journal of the American Geriatrics Society (JAGS), Vol.69(1), pp.140-147
01/2021
DOI: 10.1111/jgs.16815
PMID: 32905636
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.
DESIGN
Retrospective cohort study.
SETTING
University of Iowa Hospitals and Clinics.
PARTICIPANTS
A total of 1,125 adult inpatients (mean age = 67.7; median age = 69).
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.
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.
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.
Details
- Title: Subtitle
- New Cutoff Scores for Delirium Screening Tools to Predict Patient Mortality
- Creators
- Takehiko Yamanashi - Tottori University Faculty of MedicineMasaaki Iwata - Tottori University Faculty of MedicineKaitlyn J Crutchley - University of Iowa Carver College of MedicineEleanor J Sullivan - University of Iowa Carver College of MedicineJohnny R Malicoat - University of Iowa Carver College of MedicineZoe‐Ella M Anderson - University of Iowa Carver College of MedicinePedro S Marra - University of Iowa Carver College of MedicineGloria Chang - University of Iowa Carver College of MedicineKoichi Kaneko - Tottori University Faculty of MedicineEri Shinozaki - University of Iowa Carver College of MedicineSangil Lee - University of Iowa Carver College of MedicineGen Shinozaki - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of the American Geriatrics Society (JAGS), Vol.69(1), pp.140-147
- DOI
- 10.1111/jgs.16815
- PMID
- 32905636
- NLM abbreviation
- J Am Geriatr Soc
- ISSN
- 0002-8614
- eISSN
- 1532-5415
- Publisher
- John Wiley & Sons, Inc; Hoboken, USA
- Number of pages
- 8
- Language
- English
- Date published
- 01/2021
- Academic Unit
- Psychiatry; Microbiology and Immunology; Emergency Medicine; Iowa Neuroscience Institute; Anesthesia; Injury Prevention Research Center; General Internal Medicine; Neurosurgery; Internal Medicine
- Record Identifier
- 9984070137202771
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