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Record W4416612038 · doi:10.1016/j.cccb.2025.100521

Prevalence of anxiety and depression following small subcortical ischemic stroke and their association with MRI-defined brain damage: The DHU-LAC cohort study

2025· article· en· W4416612038 on OpenAlexaboutno aff
Ana Dimitrovic, Aude Jabouley, Carla Machado, Lina Grosset, Antoine Guillonnet, Ruben Tamazyan, Joseph Benzakoun, Antoine Dusonchet, Catherine Oppenheim, Mathieu Zuber, David Calvet, Éric Jouvent

Bibliographic record

VenueCerebral Circulation - Cognition and Behavior · 2025
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
FundersSt Joseph HospitalAssistance Publique - Hôpitaux de Paris
KeywordsAnxietyDepression (economics)Cohort studyStroke (engine)CohortAssociation (psychology)Minor stroke

Abstract

fetched live from OpenAlex

• We found a high prevalence of anxiety and depression in a clinically homogeneous cohort of patients with minor stroke. • Lower levels of anxiety and depression—even among patients who had achieved near-complete recovery—were still associated with better cognitive outcomes and higher perceived quality of life. • Despite the homogeneity of this cohort, no imaging markers were identified as significant predictors of elevated anxiety or depression six months after stroke. : Data on imaging predictors of anxiety and depression remain limited in patients with minor stroke. We aimed to evaluate their prevalence six months after minor stroke and to determine whether MRI markers can help identify patients at increased risk. : DHU-LAC is an ongoing multicentre prospective French study including patients with minor ischaemic stroke likely due to cerebral small vessel disease. Anxiety and depression were assessed at baseline and 6 months using the Hospital Anxiety and Depression Scale (HADS-A and HADS-D; scores≥8 indicating mild, ≥11 moderate symptoms). Disability was measured with the modified Rankin Scale (mRS), global cognition with the Montreal Cognitive Assessment (MOCA), and quality of life with the EQ-5D. Brain damage on MRI was assessed via the CSVD score. Predictors of HADS-A and HADS-D were explored using linear mixed-effects models. : Among 163 patients (mean age 63±11 years; 28% women), residual disability was minimal at 6 months (median mRS [interquartile range]: 1 [0.5–1.5]). At that time, 40% of patients showed mild to moderate anxiety scores, and 19% mild to moderate depression scores. In multivariable models, lower anxiety and depression scores were associated with better EQ-5D (β=–0.045, p<0.001; β =–0.13, p=0.021 respectively) and MOCA (β=–0.058, p<0.001; β=–0.11, p=0.028) scores. No consistent clinical or imaging predictors of elevated anxiety or depression scores were identified. : Anxiety and depression are common after minor stroke despite minimal physical disability. The absence of clear imaging or clinical predictors highlights the importance of systematic psychological screening, even in patients with minor stroke.

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 score0.013
Threshold uncertainty score0.372

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 head0.013
GPT teacher head0.267
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.

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
Published2025
Admission routes1
Has abstractyes

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