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Record W4403870994 · doi:10.1097/mrr.0000000000000648

Contribution of cognitive status on admission to mobility and balance at discharge from acute rehabilitation for stroke

2024· article· en· W4403870994 on OpenAlexaboutno aff
Marc Campo, Joan Toglia, Abhishek Jaywant, Michael W. OʼDell

Bibliographic record

VenueInternational Journal of Rehabilitation Research · 2024
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsnot available
Fundersnot available
KeywordsRehabilitationBalance (ability)Stroke (engine)Physical medicine and rehabilitationCognitionAcute strokeMedicinePhysical therapyPsychologyGerontologyInternal medicinePsychiatryEngineering

Abstract

fetched live from OpenAlex

Acute inpatient rehabilitation is crucial for improving mobility and balance for individuals with stroke. A potentially important factor in the recovery of mobility and balance is cognition. The purpose of this study was to determine the effect of cognition on mobility and balance in acute stroke rehabilitation. This was a longitudinal cohort study based on an inpatient rehabilitation unit at a large academic medical center. Participants were individuals with stroke admitted to acute rehabilitation after an acute care hospital stay ( N = 281). Demographic data and predictor variables were collected on admission to the unit. Outcomes were collected at discharge from the unit. Multiple regression analyses were used to determine the associations between cognition (Montreal Cognitive Assessment) on mobility (Functional Independence Measure mobility subscale) and balance (Berg Balance Scale). Subtests from the Montreal Cognitive Assessment were also examined to determine if specific dimensions of cognition could predict balance after controlling for covariates. Dominance analysis was used to determine the relative importance of baseline predictors. In separate models, cognition was a significant predictor of mobility ( B = 0.19) and balance ( B = 0.28) at discharge after adjusting for admission mobility and balance, as well as age, sex, and length of stay. The most important predictors in both models were baseline mobility and balance, but cognition contributed to the models independently of baseline scores. Cognition was generally more important than age and sex while about equally important as length of stay. In separate models, the visuospatial/executive ( B = 0.42) and the delayed recall ( B = 0.37) subtests were also significant predictors of mobility. The models' most important predictors were baseline mobility and balance scores. Cognition is a clinically relevant predictor of mobility and balance in acute stroke rehabilitation. Specific dimensions of cognition, such as executive function, visuospatial function, and delayed recall, may be especially important. Cognitive challenges and meta-cognitive strategies should be included in mobility and balance tasks when possible. Studies that evaluate the efficacy of dual-task training and meta-cognitive approaches are needed.

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)0.002
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.405
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.025
GPT teacher head0.427
Teacher spread0.402 · 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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