The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Delirium in the Emergency Department: An Independent Predictor of Death Within 6 Months
Open accessAbstract
Objectives Delirium’s adverse effect on long-term mortality in older hospitalized patients is well documented, while its effect in older emergency department (ED) patients remains unclear. Similarly, the consequences of delirium on nursing home patients seen in the ED are also unknown. As a result, we sought to determine if delirium in the ED was independently associated with 6-month mortality in older patients and if this relationship was modified by nursing home status. Methods Our prospective cohort study was conducted at a tertiary care, academic ED using convenience sampling, and included English speaking patients who were 65 years and older and were in the ED for less than 12 hours at the time of enrollment. Patients were excluded if they refused consent, were previously enrolled, were unable to follow simple commands at baseline, were comatose, or had incomplete data. The Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) was used to determine delirium and was administered by trained research assistants. Cox proportional hazard regression was performed to determine if delirium in the ED was independently associated with 6-month mortality after adjusting for age, comorbidity burden, severity of illness, dementia, functional dependence, and nursing home residence. To test whether the effect of delirium in the ED on 6-month mortality was modified by nursing home residence, an interaction term (delirium*nursing home) was incorporated into the multivariable model. Hazard ratios (HR) with their 95% confidence intervals (95% CI) were reported. Results Of the 628 patients enrolled, 108 (17.2%) were delirious in the ED and 58 (9.2%) were from the nursing home. For the entire cohort, the 6-month mortality rate was higher in the delirious group compared to the non-delirious group (37.0% versus 14.3%). Delirium was an independent predictor of increased 6-month mortality (HR = 1.72, 95% CI: 1.04 – 2.86) after adjusting for age, comorbidity burden, severity of illness, dementia, functional dependence, and nursing home residence. The “delirium*nursing home” interaction was non-significant (p=0.86), indicating that place of residence had no effect on the relationship between delirium in the ED and 6-month mortality. Conclusion Delirium in older ED patients is an independent predictor of increased 6-month mortality and this relationship appears to be present regardless of nursing home status.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
APACHE II: A severity of disease classification system
KNAUS, W. A., DRAPER, E. A., WAGNER, D. P., & ZIMMERMAN, J. E. (1985) · Critical Care Medicine · doi:10.1097/00003246-198510000-00009 · Cited by 13,664
APACHE II-A Severity of Disease Classification System: Reply
Knaus, W. A., Draper, E. A., Wagner, D. P., & Zimmerman, J. E. (1986) · Critical Care Medicine · doi:10.1097/00003246-198608000-00028 · Cited by 13,376
Early goal-directed therapy in the treatment of severe sepsis and septic shock
Rivers, E., Nguyen, B., Havstad, S., Ressler, J., Muzzin, A., Knoblich, B., Peterson, E., & Tomlanovich, M. (2001) · New England Journal of Medicine · doi:10.1056/nejmoa010307 · Cited by 10,743
Harrell, F. E. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4757-3462-1 · Cited by 9,195
Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)
Hu, R. J. (2003) · Encyclopedia of the Neurological Sciences · doi:10.1016/b0-12-226870-9/01070-4 · Cited by 9,117
Writing Committee Members, Antman, E. M., Anbe, D. T., Armstrong, P. W., Bates, E. R., Green, L. A., Hand, M., Hochman, J. S., Krumholz, H. M., Kushner, F. G., et al. (2004) · Circulation · doi:10.1161/01.cir.0000134791.68010.fa · Cited by 8,356
APACHE II: a severity of disease classification system.
Knaus, W. A., Draper, E. S., Wagner, D. P., & Zimmerman, J. E. (1985) · PubMed · Cited by 6,034
Clarifying Confusion: The Confusion Assessment Method: A New Method for Detection of Delirium
Inouye, S. K., van Dyck, C. H., Alessi, C. A., Balkin, S., Siegal, A. P., & Horwitz, R. I. (1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-113-12-941 · Cited by 5,250
Heart Disease: A Textbook of Cardiovascular Medicine.
(1984) · Annals of Internal Medicine · doi:10.7326/0003-4819-101-3-415_3 · Cited by 4,109
Cited by
Inouye, S. K., Westendorp, R. G., & Saczynski, J. S. (2014) · The Lancet · doi:10.1016/s0140-6736(13)60688-1 · Cited by 3,722
Antipsychotics for treatment of delirium in hospitalised non-ICU patients
Burry, L., Mehta, S., Perreault, M. M., Luxenberg, J. S., Siddiqi, N., Hutton, B., Fergusson, D. A., Bell, C., & Rose, L. (2018) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd005594.pub3 · Cited by 237
Delirium Risk Prediction, Healthcare Use and Mortality of Elderly Adults in the Emergency Department
Kennedy, M., Enander, R. A., Tadiri, S. P., Wolfe, R. E., Shapiro, N. I., & Marcantonio, E. R. (2014) · Journal of the American Geriatrics Society · doi:10.1111/jgs.12692 · Cited by 205
Collet, M. O., Caballero, J., Sonneville, R., Bozza, F. A., Nydahl, P., Schandl, A., Wøien, H., Citerio, G., van den Boogaard, M., Hästbacka, J., et al. (2018) · Intensive Care Medicine · doi:10.1007/s00134-018-5204-y · Cited by 114
Rosen, T., Connors, S., Clark, S., Halpern, A., Stern, M. E., DeWald, J., Lachs, M. S., & Flomenbaum, N. (2015) · Advanced Emergency Nursing Journal · doi:10.1097/tme.0000000000000066 · Cited by 49
Metadata
- Authors
- Han, J. H., Shintani, A., Eden, S., Morandi, A., Solberg, L. M., Schnelle, J., Dittus, R. S., Storrow, A. B., & Ely, E. W.
- Venue
- Annals of Emergency Medicine
- Publisher
- Elsevier BV
- Published
- 2010-09
- Volume
- 56
- Issue
- 3
- Pages
- 244-252.e1
- ISSN
- 0196-0644 (ISSN-L)
- OpenAlex
- W1995834057
- Cited by
- 254
- References
- 64
- FWCI
- 7.99
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Delirium in the Emergency Department: An Independent Predictor of Death Within 6 Months. https://app.cochat.ai/papers/10.1016/j.annemergmed.2010.03.003
- The paper
- Han, J. H., Shintani, A., Eden, S., Morandi, A., Solberg, L. M., Schnelle, J., Dittus, R. S., Storrow, A. B., & Ely, E. W. (2010). Delirium in the Emergency Department: An Independent Predictor of Death Within 6 Months. Annals of Emergency Medicine. https://doi.org/10.1016/j.annemergmed.2010.03.003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.