Evidence map›Paper›PMID 40532407›Full record

Observational studyThe American journal of emergency medicine2025

Validation of a chart review method for identifying delirium in the emergency department.

Piayeng Thao, Kayla P Carpenter, Annelise S Howick, Aidan F Mullan, Madeline A Boie, Ian W Maia, Allyson K Palmer, Lauren T Southerland, Elizabeth M Goldberg, Molly M Jeffery and 1 more

Abstract readObservational StudyValidation Study
In one paragraph

Observational study in The American journal of emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Piayeng ThaoDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA; University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI, USA.
Kayla P CarpenterDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Annelise S HowickDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Aidan F MullanDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Madeline A BoieDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Ian W MaiaDepartment of Emergency Medicine, University of Sao Paulo, Sao Paulo, Brazil.
Allyson K PalmerDepartment of Medicine, Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA.
Lauren T SoutherlandDepartment of Emergency Medicine, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
Elizabeth M GoldbergDepartment of Emergency Medicine, University of Colorado School of Medicine, Aurora, CO, USA.
Molly M JefferyDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA.
Fernanda BellolioDepartment of Emergency Medicine, Mayo Clinic, Rochester, MN, USA; Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN, USA. Electronic address: Bellolio.fernanda@mayo.edu.

Funding

Mayo Clinic Center for Clinical and Translational Science (CCaTS UL1 Supplement - Dr. Timothy Curry)UL1TR002377 · NCATS · MAYO CLINIC ROCHESTER · PI VESNA D GAROVIC · 2017 to 2026
$78.4M
Institutional Short-Term Research Training for Students of DiversityR25HL092621 · NHLBI · MAYO CLINIC ROCHESTER · PI HORAZDOVSKY, BRUCE F · 2008 to 2023
$2.0M
GAPcare II: The Geriatric Acute & Post-acute Care Coordination Program for Fall Prevention in the Emergency DepartmentK76AG059983 · NIA · UNIVERSITY OF COLORADO DENVER · PI GOLDBERG, ELIZABETH · 2019 to 2024
$1.5M
NCATS NIH HHS UL1 TR002377NHLBI NIH HHS R25 HL092621NIA NIH HHS K76 AG059983
6 · The paper itself

Abstract

objectiveTo validate the Chart-based Delirium Identification Instrument (CHART-DEL) which was developed in the inpatient setting, for identifying delirium in the emergency department (ED).

methodsThis retrospective observational study included ED patients aged 75 and older who presented between 2021 and 2023 and were screened for delirium utilizing a validated two-step tool which included the Delirium Triage Screen (DTS) and the Brief Confusion Assessment Method (bCAM). A stratified random sample of 600 medical records were reviewed using the CHART-DEL method. Inter-rater agreement and diagnostic test accuracy were calculated. We followed standardized guidelines for reporting (STROBE).

resultsA total of 27,082 visits were included. Median age was 83 years, 51.8 % were women. Twenty percent of patients had known dementia and/or cognitive impairment, and 48.8 % were admitted to the hospital. There were 1197 patients (4.4 %) with delirium in the ED. When compared to the ED assessment, the chart review correctly identified 474/600 cases (accuracy 79.0 %, 95 % CI: 75.5-82.1 %), including 223/300 with delirium (sensitivity 74.3 %, 95 % CI: 68.9-79.1 %), and 251/300 without delirium (specificity 83.7 %, 95 % CI: 78.9-87.6 %). Agreement between the reviewers was 91.0 %. Weight calculations to approximate the original population resulted in an accuracy of 86.4 % (95 % CI: 86.0-86.8 %), sensitivity of 74.2 % (95 % CI: 71.6-76.6 %) and specificity of 87.0 % (95 % CI: 86.6-87.4 %).

conclusionThe CHART-DEL can be applied to the ED setting, but performed better at correctly identifying patients who do not have delirium. Automating this method could improve retrospective delirium detection in the ED and support future clinical applications of delirium screening tools.

Indexed as

DeliriumEmergency Service, HospitalAgedAged, 80 and overFemaleHumansMaleReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityTriageAgedDeliriumDementiaEmergency medicineEmergency serviceGeriatricGeriatrics outcome and process assessmentOlder adultValidation

Identifiers

PMID40532407
PMCPMC12354326

What OpenQuestion holds

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Registered trials

None linked

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.