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Record W4380876799 · doi:10.1002/alz.062996

Pre‐stroke chronic cerebrovascular disease is a major determinant for response to structured cognitive rehabilitation following acute ischemic strokes

2023· article· en· W4380876799 on OpenAlexaboutno aff
Yi Jin Leow, Seyed Ehsan Saffari, Esther Vanessa Chua, Nyu Mei Mei, Nur Nazaria Baharudin, Fennie Wong, Sheng Chun Ng, Kok Pin Ng, Nagaendran Kandiah

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMontreal Cognitive AssessmentMedicineStroke (engine)RehabilitationCognitionPhysical therapyQuality of life (healthcare)HyperintensityDementiaInternal medicineCognitive declineCognitive rehabilitation therapyDiseasePsychiatryMagnetic resonance imaging

Abstract

fetched live from OpenAlex

Abstract Background Post Stroke Cognitive Impairment (PSCI) is seen in 40‐60% of patients with ischemic strokes. Response of patients with PSCI to structured cognitive rehabilitation is not clearly understood. We evaluated baseline variables that predict response to an eight‐week non‐pharmacological intervention among patients with mild strokes and compared the responses to non‐pharmacological intervention among acute stroke patients with and without chronic cerebrovascular disease (CVD). Method 139 ischemic stroke survivors were recruited from a tertiary hospital in Singapore. All patients underwent an eight‐week structured group cognitive rehabilitation programme (Figure 1). Baseline, immediate post‐intervention (Immediate‐PI) and 6‐month post intervention (6‐month‐PI) global cognitive and quality of life (QOL) outcomes were assessed by Montreal Cognitive Assessment (MoCA) and Dementia‐Quality of Life (DemQOL). Regression analyses evaluated the influence of cognitive rehabilitation on outcomes. Result The mean age of subjects were 63.6 (±9.66) with 64.4% males. Baseline MoCA and DemQOL scores were 23.30 (±3.05) and 79.16 (±14.80). At Immediate‐PI, patients with more past strokes (p = 0.033) and severe white matter hyperintensities (WMH) (p = 0.048), benefited less on global cognitive outcome (Table 1). Male patients (p = 0.074) and patients with more severe WMH (p = 0.048) benefited less on QOL outcome (Table 2). At 6‐month‐PI, patients with microhemorrhages in the deep region (p = 0.002) were less likely to sustain cognitive improvement. With every past stroke experienced, patients were less likely to experience an improvement in MoCA score Immediate‐PI (OR = 2.17, 95% CI: 0.980‐4.813, p = 0.056). with severe WMH were less likely to experience an improvement in MoCA scores Immediate‐PI compared to baseline (OR = 2.13, 95% CI: 1.04‐4.38, p = 0.039). Finally, patients with microhemorrhages in the deep region were less likely to retain the improvements in MoCA at 6‐month‐PI (OR = 19.93, 95% CI: 1.04‐384, p = 0.047) Conclusion Pre‐stroke CVD were associated with worse cognitive and QoL outcomes post cognitive rehabilitation. Understanding factors that result in poor response to rehabilitation will allow clinicians to better select stroke survivors for cognitive rehabilitation. Future research could build on these findings and allocate more resources to these at‐risk groups for post‐stroke care, therefore reducing the global burden of stroke and ensuring a better QOL for stroke survivors.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.165
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.021
GPT teacher head0.298
Teacher spread0.277 · 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 designBench or experimental
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

Citations1
Published2023
Admission routes1
Has abstractyes

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