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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 65 out of 100. How common it is

Topic: Risk, prevention and care in population studies

Objective To prospectively develop and validate a predictive model for the occurrence of new delirium in hospitalized elderly medical patients based on characteristics present at admission. Design Two prospective cohort studies done in tandem. Setting University teaching hospital. Patients The development cohort included 107 hospitalized general medical patients 70 years or older who did not have dementia or delirium at admission. The validation cohort included 174 comparable patients. Measurements Patients were assessed daily for delirium using a standardized, validated instrument. The predictive model developed in the initial cohort was then validated in a separate cohort of patients. Results Delirium developed in 27 of 107 patients (25%) in the development cohort. Four independent baseline risk factors for delirium were identified using proportional hazards analysis: These included vision impairment (adjusted relative risk, 3.5; 95% Cl, 1.2 to 10.7); severe illness (relative risk, 3.5; Cl, 1.5 to 8.2); cognitive impairment (relative risk, 2.8; Cl, 1.2 to 6.7); and a high blood urea nitrogen/creatinine ratio (relative risk, 2.0; Cl, 0.9 to 4.6). A risk stratification system was developed by assigning 1 point for each risk factor present. Rates of delirium for low- (0 points), intermediate- (1 to 2 points), and high-risk (3 to 4 points) groups were 9%, 23%, and 83% (P Conclusions Delirium among elderly hospitalized patients is common, and a simple predictive model based on four risk factors can be used at admission to identify elderly persons at the greatest risk.

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

APA 7th

Inouye, S. K., Viscoli, C. M., Horwitz, R. I., Hurst, L. D., & Tinetti, M. E. (1993). A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics. Annals of internal medicine. https://doi.org/10.7326/0003-4819-119-6-199309150-00005

Vancouver

Inouye SK, Viscoli CM, Horwitz RI, Hurst LD, Tinetti ME. A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics. Annals of internal medicine. 1993. doi:10.7326/0003-4819-119-6-199309150-00005. PMID: 8357112.

BibTeX

@article{inouye1993-8357112,
  author  = {Inouye, S. K. and Viscoli, C. M. and Horwitz, R. I. and Hurst, L. D. and Tinetti, M. E.},
  title   = {{A predictive model for delirium in hospitalized elderly medical patients based on admission characteristics}},
  journal = {Annals of internal medicine},
  year    = {1993},
  doi     = {10.7326/0003-4819-119-6-199309150-00005},
  pmid    = {8357112},
  url     = {https://doi.org/10.7326/0003-4819-119-6-199309150-00005}
}

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

Key findings

Why it matters

This study developed a model based on admission characteristics to predict which hospitalized elderly patients would develop delirium. It is a prediction tool, not a treatment or prevention for Alzheimer's disease.

Study details

How this study scored 65/100
How this study's score is builtJournal tier 9 of 10; Journal's citation record 4 of 4; Study design 7 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 6 of 7; Citations per year 4 of 5; Impact for its field and year 4 of 6; Cited by studies here 3 of 6; Still being cited 2 of 4; Senior author's track record left out, no data; Institution's track record 2 of 3; Multi-centre collaboration 0 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. 62 of the 96 points it could be judged on, which is 65 of 100. Total 65 of 100.62 of the 96 points we could judge = 65 of 100

Published in a leading specialty journal, and it is a cohort study following people over time. Scored zero for effect reported and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 62 of the 96 points we could judge it on, which is 65 out of 100.

ComponentPointsWhy
Journal tier 9 / 10 Tier 2 — leading specialty journal (Annals of internal medicine)
Journal's citation record 4 / 4 Annals of Internal Medicine: journal h-index 648 (OpenAlex, 2026-10-29)
Study design 7 / 12 A cohort study following people over time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 1993 — older than 20 years, still counted
Sample size 2 / 4 107 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 6 / 7 Cited 865 times (OpenAlex, 2026-10-10)
Citations per year 4 / 5 24.7 citations a year over 35 year(s) since 1993
Impact for its field and year 4 / 6 Cited 9.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 3 / 6 Cited by 17 other studies in this library
Still being cited 2 / 4 Cited 47 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record 2 / 3 Yale University: institution h-index 1,927 (OpenAlex)
Multi-centre collaboration 0 / 3 OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 8357112)
Free to read 0 / 2 Behind a paywall — scores zero
Points 62 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 62 of the 96 points we could judge it on is 65 out of 100.
Total 65 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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