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Record W4402131465 · doi:10.1016/j.cccb.2024.100329

Post-stroke delirium is associated with cognitive and psychiatric symptoms over time

2024· article· en· W4402131465 on OpenAlexaboutno aff
Elise Gjestad, Vilde Nerdal, Ingvild Saltvedt, Stian Lydersen, Elisabeth Kliem, Truls Ryum, Ramunė Grambaitė

Bibliographic record

VenueCerebral Circulation - Cognition and Behavior · 2024
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsDeliriumCognitionStroke (engine)PsychiatryPsychologyMedicine

Abstract

fetched live from OpenAlex

Delirium, an acute and fluctuating disturbance of attention, cognition, and consciousness, may occur in the acute phase of stroke. Research on long-term outcomes of stroke patients experiencing delirium is limited. Our previous findings suggested that patients experiencing acute delirium had increased cognitive and psychiatric symptoms in the chronic phase. In the current study, this was further examined in a larger sample, including measures of global cognition, as well as psychiatric symptoms. As part of the Nor-COAST study, 373 stroke patients were screened for delirium using the Confusion Assessment Patients were included in the study if they had available data from any of the follow-ups at three, 18 or 36 months, totaling 334 (44.6% women, mean (SD) age: 72.1 (12.5) years, 17 (5.1%) diagnosed with delirium). Global cognition was measured using the Montreal Cognitive Assessment (MoCA). Psychiatric symptoms were measured using the Hospital Anxiety and Depression Scale (HADS) and the Neuropsychiatric Inventory-Questionnaire (NPI-Q). Subscales of NPI-Q were used to measure specific psychiatric symptoms. Mixed-model linear regression was applied with MoCA, HADS, and NPI-Q, one at a time, as dependent variables. The independent variables were delirium, time as a categorical covariate, and their interaction. Mixed- model binary logistic regression was used to analyze differences in specific psychiatric symptoms. At three months, delirium was only significantly associated with a higher NPI-Q score (mean (SD) 2.9 (3.6) vs 1.4 (2.2)). At 18 and 36 months respectively, delirium was associated with a lower MoCA score (mean (SD) 19.7 (6.6) vs 24.3 (5.0), and 20.6 (7.6) vs 24.6 (4.8)), higher HADS anxiety symptoms (5.0 (4.3) vs 3.3 (3.3), and 5.9 (4.1) vs 3.4 (3.6)), higher HADS depression symptoms (7.2 (4.7) vs 3.4 (3.3), and 6.6 (5.1) vs 3.7 (3.7)), and higher NPI-Q score (2.4 (4.4) vs 1.7 (2.3), 2.6 (4.5) vs 1.0 (1.9)). Delirium significantly predicted the psychiatric symptoms hallucinations and agitation. Patients with delirium in the acute phase of stroke may be particularly vulnerable to developing cognitive and psychiatric symptoms in the chronic phase.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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

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 head0.011
GPT teacher head0.265
Teacher spread0.254 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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