Post-Stroke Cognitive Impairment: High Prevalence and Determining Factors in a Cohort of Mild Stroke

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Full frame distilled prediction

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.

Candidate categories

none

Consensus categories

none

Domain

Candidate signal: noneConsensus signal: none

Study design

Candidate signal: ObservationalConsensus signal: Observational

Genre

Candidate signal: EmpiricalConsensus signal: Empirical

Teacher disagreement score

0.011

Threshold uncertainty score

0.556

Validation status

machine_predicted_unvalidated · codex-gemma-dda1882f352a

Codex and Gemma teacher scores by category

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.

Teacher spread

0.285 · how far apart the two teachers sit on this one work

Validation status

score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Abstract

BACKGROUND: Because of the aging population and a rise in the number of stroke survivors, the prevalence of post-stroke cognitive impairment (PSCI) is increasing. OBJECTIVE: To identify the factors associated with 3-month PSCI. METHODS: All consecutive stroke patients without pre-stroke dementia, mild cognitive disorders, or severe aphasia hospitalized in the Neurology Department of Dijon, University Hospital, France (November 2010 - February 2012) were included in this prospective cohort study. Demographics, vascular risk factors, and stroke data were collected. A first cognitive evaluation was performed during the hospitalization using the Mini-Mental State Exam (MMSE) and the Montreal Cognitive Assessment (MOCA). Patients assessable at 3 months were categorized as cognitively impaired if the MMSE score was ≤26/30 and MOCA <26/30 or if the neuropsychological battery confirmed PSCI when the MMSE and MOCA were discordant. Multivariable logistic models were used to determine factors associated with 3-month PSCI. RESULTS: Among the 280 patients included, 220 were assessable at 3 months. The overall frequency of 3-month PSCI was 47.3%, whereas that of dementia was 7.7%. In multivariable analyses, 3-month PSCI was associated with age, low education level, a history of diabetes mellitus, acute confusion, silent infarcts, and functional handicap at discharge. MMSE and MOCA scores during hospitalization were associated with 3-month PSCI (OR = 0.63; 95% CI: 0.54-0.74; p < 0.0001 and OR = 0.67; 95% CI: 0.59-0.76; p < 0.0001, respectively). CONCLUSION: Our study underlines the high frequency of PSCI in a cohort of mild stroke. The early cognitive diagnosis of stroke patients could be useful by helping physicians to identify those at a high risk of developing PSCI.

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.

The record

Venue

Journal of Alzheimer s Disease

Topic

Dementia and Cognitive Impairment Research

Field

Medicine

Canadian institutions

not available

Funders

not available

Keywords

MedicineMontreal Cognitive AssessmentStroke (engine)DementiaCohortInternal medicinePopulationNeuropsychologyCohort studyProspective cohort studyDiabetes mellitusPhysical therapyCognitionPediatricsPsychiatryDisease

Has abstract in OpenAlex

yes

API

/api/v1/works/W1833806089