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Record W2142854102 · doi:10.1176/jnp.2007.19.2.151

An Exploratory Study of Diagnostic Criteria for Delirium in Older Medical Inpatients

2007· article· en· W2142854102 on OpenAlexaff
Martín G. Cole, Jane McCusker, Antonio Ciampi, Alyna Dyachenko

Bibliographic record

VenueJournal of Neuropsychiatry · 2007
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMcGill UniversitySt Mary's Hospital Centre
Fundersnot available
KeywordsDeliriumDementiaMedicineConfusionPopulationDemographicsEmergency medicinePsychiatryPsychologyInternal medicine

Abstract

fetched live from OpenAlex

The poor prognosis of delirium in older medical inpatients has generated controversy about the diagnostic criteria for delirium in this population. The goal of the present study was to explore the presenting symptoms of delirium among older medical inpatients who did or did not recover from delirium. Patients 65 years or older admitted from the emergency department to medical services were screened with the Confusion Assessment Method (CAM). Patients with delirium were assessed at enrollment, several times during the first week, then weekly for 4 weeks using the Delirium Index (DI). Measures at baseline included demographics, dementia and severity of physical illness. Recovery was defined as a decline of three points or more on the DI and a final DI score of less than 5 or 4 points in patients with or without dementia, respectively. Of 290 patients who met DSM-IV criteria for delirium, 65 recovered and 225 did not. Three symptoms (orientation to person, hyperactivity, and inattention) were associated with recovery from delirium in older medical inpatients. These results suggest it may be necessary to place increased emphasis on these presenting symptoms when diagnosing delirium in this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.348
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2007
Admission routes1
Has abstractyes

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