REcognizing DElirium in geriatric Emergency Medicine: The REDEEM risk stratification score.


Journal

Academic emergency medicine : official journal of the Society for Academic Emergency Medicine
ISSN: 1553-2712
Titre abrégé: Acad Emerg Med
Pays: United States
ID NLM: 9418450

Informations de publication

Date de publication:
04 2022
Historique:
revised: 08 11 2021
received: 01 09 2021
accepted: 24 11 2021
pubmed: 7 12 2021
medline: 29 4 2022
entrez: 6 12 2021
Statut: ppublish

Résumé

The objective was to derive a risk score that uses variables available early during the emergency department (ED) encounter to identify high-risk geriatric patients who may benefit from delirium screening. This was an observational study of older adults age ≥ 75 years who presented to an academic ED and who were screened for delirium during their ED visit. Variable selection from candidate predictors was performed through a LASSO-penalized logistic regression. A risk score was derived from the final prediction model, and predictive accuracy characteristics were calculated with 95% confidence intervals (CIs). From the 967 eligible ED visits, delirium was detected in 107 (11.1%). The area under the curve for the REcognizing DElirium in Emergency Medicine (REDEEM) score was 0.901 (95% CI = 0.864-0.938). The REEDEM risk score included 10 different variables (seven based on triage information and three obtained during early history taking) with a score ranging from -3 to 66. Using an optimal cutoff of ≥11, we found a sensitivity of 84.1% (90 of 107 ED delirium patients, 95% CI = 75.5%-90.2%) and a specificity of 86.6% (745 of 860 non-ED delirium patients, 95% CI = 84.1%-88.8%). A lower cutoff of ≥5 was found to minimize false negatives with an improved sensitivity at 91.6% (98 of 107 ED delirium patients, 95% CI = 84.2%-95.8%). A risk stratification score was derived with the potential to augment delirium recognition in geriatric ED patients. This has the potential to assist on delirium-targeted screening of high-risk patients in the ED. Validation of REDEEM, however, is needed prior to implementation.

Identifiants

pubmed: 34870884
doi: 10.1111/acem.14423
pmc: PMC9050857
mid: NIHMS1763954
doi:

Types de publication

Journal Article Observational Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

476-485

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR002377
Pays : United States

Informations de copyright

© 2021 Society for Academic Emergency Medicine.

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Auteurs

Lucas Oliveira J E Silva (L)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Jessica A Stanich (JA)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Molly M Jeffery (MM)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Division of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, USA.

Aidan F Mullan (AF)

Department of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota, USA.

Susan M Bower (SM)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Department of Nursing, Mayo Clinic, Rochester, Minnesota, USA.

Ronna L Campbell (RL)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.

Alejandro A Rabinstein (AA)

Department of Neurology, Mayo Clinic, Rochester, Minnesota, USA.

Robert J Pignolo (RJ)

Department of Hospital Internal Medicine, Division of Geriatric Medicine and Gerontology, Mayo Clinic, Rochester, Minnesota, USA.

Fernanda Bellolio (F)

Department of Emergency Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Division of Health Care Delivery Research, Mayo Clinic, Rochester, Minnesota, USA.

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