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Record W4291493179 · doi:10.1186/s12877-022-03323-w

Acute disease induced cognitive dysfunction in older patients – an unrecognized syndrome

2022· article· en· W4291493179 on OpenAlexaboutno aff
Rainer Wirth, Christiane Klimek, Gero Lueg, Maryam Pourhassan, Louisa Maria Danielzik, C Krüger, Ulrike Trampisch

Bibliographic record

VenueBMC Geriatrics · 2022
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
FundersRuhr-Universität Bochum
KeywordsMedicineDeliriumMontreal Cognitive AssessmentCognitionRehabilitationDiseaseRetrospective cohort studyPhysical therapyInternal medicinePediatricsDementiaIntensive care medicinePsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: It is unknown, how many older hospitalized patients experience cognitive changes independently from delirium. METHODS: In this retrospective study, cognitive function was assessed with the Montreal Cognitive Assessment on admission and discharge in 103 acute care geriatric hospital patients. RESULTS: Mean age was 80.8 ± 7.3 years. The total MoCA score on admission was 17.8 (±4.5) and at discharge 17.7 (±4.4). The mean difference of the total MoCA score was - 0.1 (±3.5). 12 (11.7%) patients suffered from delirium. 46 (44.7%) patients experienced significant changes of cognitive function <- 2 or > 2 MoCA points without delirium. There was no significant association between delirium during hospital stay and the prevalence and magnitude of changes in total MoCA score. CONCLUSION: Cognitive changes frequently occur during acute disease of geriatric patients independently from delirium. We propose the term "acute disease induced cognitive dysfunction" (ADICD) for this entity. TRIAL REGISTRATION: German Clinical trial register (DRKS-ID: DRKS00025157 on 28.04.2021).

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.270
Teacher spread0.251 · 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

Citations10
Published2022
Admission routes1
Has abstractyes

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