ArticleAnnals of emergency medicine2013
Diagnosing delirium in older emergency department patients: validity and reliability of the delirium triage screen and the brief confusion assessment method.
Article in Annals of emergency medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 131 papers, 7 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
131 citing papers in PubMed, 7 syntheses or guidelines pooled it, 318 citations in OpenAlex.
- GRADE-Based Clinical Practice Guidelines for Emergency Department Delirium Risk Stratification, Screening, and Brain Imaging in Older Patients With Suspected Delirium.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Guideline
- Risk factors and risk stratification approaches for delirium screening: A Geriatric Emergency Department Guidelines 2.0 systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Pooled it
- Delirium detection in the emergency department: A diagnostic accuracy meta-analysis of history, physical examination, laboratory tests, and screening instruments.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024Pooled it
- Risk factors for postoperative delirium in elderly urological patients: A meta-analysis.Medicine · 2022Pooled it
- Can we improve delirium prevention and treatment in the emergency department? A systematic review.Journal of the American Geriatrics Society · 2022Pooled it
- Screening instruments for cognitive impairment in older patients in the Emergency Department: a systematic review and meta-analysis.Age and ageing · 2021Pooled it
- Predicting geriatric falls following an episode of emergency department care: a systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2014Pooled it
- Effects of a Geriatric Emergency Department Multidisciplinary Intervention on Functional Status and Quality of Life: A Pre/Post Cohort Study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Trial
- Sources of medication omissions among hospitalized older adults with polypharmacy.Journal of the American Geriatrics Society · 2022Trial
- Delirium detection in older acute medical inpatients: a multicentre prospective comparative diagnostic test accuracy study of the 4AT and the confusion assessment method.BMC medicine · 2019Trial
- A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.Cell reports. Medicine · 2026Article
- Retrospective external validation of the Mayo Delirium Prediction tool in a Swiss cohort of medical and surgical inpatients.BMC medical informatics and decision making · 2026Article
- Timing of anesthetic emergence and early postoperative recovery in older adults undergoing thoracic surgery: a retrospective cohort study.BMC anesthesiology · 2026Article
- Two Brief Steps, Better Foresight: Cognitive Screening and Adverse Outcomes in Older Adults Admitted From the Emergency Department.Journal of the American Geriatrics Society · 2026Article
- Postoperative delirium: from bundles to precision prevention.Anesthesia and pain medicine · 2026Review
- Beyond Triage: Cognitive Profiles and ED-To-Inpatient Costs and Resource Pathways in Older Adults.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026Article
- Barriers and Facilitators to the Fidelity of Delirium Screening in the Emergency Department: An Ethnographic Approach.Journal of the American Geriatrics Society · 2026Article
- Validation of 4 Risk Stratification Tools for Delirium in the Emergency Department.JAMA network open · 2025Article
- Outcomes of Older Adults With Delirium Discharged From the Emergency Department.Annals of emergency medicine · 2025Article
- Validation of a chart review method for identifying delirium in the emergency department.The American journal of emergency medicine · 2025Observational
71 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
STUDY
objectiveDelirium is a common form of acute brain dysfunction with prognostic significance. Health care professionals caring for older emergency department (ED) patients miss delirium in approximately 75% of cases. This error results from a lack of available measures that can be performed rapidly enough to be incorporated into clinical practice. Therefore, we developed and evaluated a novel 2-step approach to delirium surveillance for the ED.
methodsThis prospective observational study was conducted at an academic ED in patients aged 65 years or older. A research assistant and physician performed the Delirium Triage Screen (DTS), designed to be a highly sensitive rule-out test, and the Brief Confusion Assessment Method (bCAM), designed to be a highly specific rule-in test for delirium. The reference standard for delirium was a comprehensive psychiatrist assessment using Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision criteria. All assessments were independently conducted within 3 hours of one another. Sensitivities, specificities, and likelihood ratios with their 95% confidence intervals (95% CIs) were calculated.
resultsOf 406 enrolled patients, 50 (12.3%) had delirium diagnosed by the psychiatrist reference standard. The DTS was 98.0% sensitive (95% CI 89.5% to 99.5%), with an expected specificity of approximately 55% for both raters. The DTS's negative likelihood ratio was 0.04 (95% CI 0.01 to 0.25) for both raters. As the complement, the bCAM had a specificity of 95.8% (95% CI 93.2% to 97.4%) and 96.9% (95% CI 94.6% to 98.3%) and a sensitivity of 84.0% (95% CI 71.5% to 91.7%) and 78.0% (95% CI 64.8% to 87.2%) when performed by the physician and research assistant, respectively. The positive likelihood ratios for the bCAM were 19.9 (95% CI 12.0 to 33.2) and 25.2 (95% CI 13.9 to 46.0), respectively. If the research assistant DTS was followed by the physician bCAM, the sensitivity of this combination was 84.0% (95% CI 71.5% to 91.7%) and specificity was 95.8% (95% CI 93.2% to 97.4%). If the research assistant performed both the DTS and bCAM, this combination was 78.0% sensitive (95% CI 64.8% to 87.2%) and 97.2% specific (95% CI 94.9% to 98.5%). If the physician performed both the DTS and bCAM, this combination was 82.0% sensitive (95% CI 69.2% to 90.2%) and 95.8% specific (95% CI 93.2% to 97.4%).
conclusionIn older ED patients, this 2-step approach (highly sensitive DTS followed by highly specific bCAM) may enable health care professionals, regardless of clinical background, to efficiently screen for delirium. Larger, multicenter trials are needed to confirm these findings and to determine the effect of these assessments on delirium recognition in the ED.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.