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Record W4402118594 · doi:10.1016/j.cccb.2024.100327

Post-stroke apathy: symptom profiles and association with cognitive impairment

2024· article· en· W4402118594 on OpenAlexaboutno aff
Claudia Pallucca, Ratko Radaković, Hugh Markus

Bibliographic record

VenueCerebral Circulation - Cognition and Behavior · 2024
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsApathyCognitive impairmentAssociation (psychology)Stroke (engine)CognitionPsychologyClinical psychologyMedicinePhysical medicine and rehabilitationPsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Post-stroke apathy is a debilitating behavioural syndrome affecting cognition, mood and outcome in about 35%-40% stroke survivors. Apathy is known to be associated with cognitive impairment and may be a prodromal symptom of vascular dementia. We aimed to explore apathy profiles in stroke survivors and the association of apathy with cognition one year after stroke. Patients with acute ischaemic stroke underwent assessments at baseline and 1 year after stroke. Where possible, informants were recruited. We assessed apathy with the informant-rated version of the Dimensional Apathy Scale (DAS), cognition with Montreal Cognitive Assessment (MoCA) and Brief Memory and Executive Test (BMET). Latent Class Analysis (LCA) was used to explore the profile of apathy in stroke patients at baseline based on scores on the three DAS dimensions. Linear regression analyses were used to determine whether apathy scores at baseline were associated with cognitive scores at 1 year. Regression analyses were controlled for age, gender, education, disability (modified Rankin Score) and depression (Geriatric Depression Scale) at one year. Out of 200 participants recruited at baseline, 165 were assessed one year later. At baseline 109 informants were also recruited. Mean age of patients at recruitment was 65.8 ± 13.7, and 38.0% of participants were women. LCA showed three distinct subgroups with progressively greater levels of apathy. The larger group (57.8%) had low apathy in every dimension. A second group (23.9%) showed higher apathy on the Emotional-Initiation dimensions. The smaller group (18.3%) had higher apathy sores on every dimension. We found DAS total score associated with lower MoCA score at 12 months (β = -0.14, 95% CI [-0.21, -0.06]), lower BMET total score (β = -0.09, 95% CI [-0.18, -0.00]), and lower BMET processing speed (β = -0.06, 95% CI [-0.11, -0.00]). While about half of our cohort presented generally low apathy, our results suggest that distinct profiles of apathy in stroke exist, with Emotional and Initiation apathy playing a key role. Our study shows that apathy seems to predict worse cognitive functioning one year after stroke, regardless of disability and depressive symptoms.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.504

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)0.0000.000

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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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