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Record W4404114608 · doi:10.1161/strokeaha.124.049027

Care Quality and Outcomes of Ischemic Stroke in Patients With Premorbid Dementia: Get With The Guidelines-Stroke Registry

2024· article· en· W4404114608 on OpenAlexaff
Aravind Ganesh, Meng Wang, Lee H. Schwamm, Gregg C. Fonarow, Steven R. Messé, Ying Xian, Jeffrey L. Saver, Eric E. Smith

Bibliographic record

VenueStroke · 2024
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineInterquartile rangeThrombolysisStroke (engine)DementiaOdds ratioEmergency medicineInternal medicineDiseaseMyocardial infarction

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with premorbid dementia have been generally excluded from trials of stroke therapies, and their dementia diagnosis may affect the care received. There are few data on the quality of stroke care and outcomes in these patients. METHODS: We compared the quality of care and outcomes for acute ischemic stroke patients with versus without premorbid dementia using national data from the Get With The Guidelines-Stroke registry between July 1, 2020, and December 31, 2021. Process outcomes included receiving intravenous thrombolysis, endovascular thrombectomy, and additional national quality measures. Clinical outcomes included ambulatory status at discharge, discharge destination, and mortality. The analyses were adjusted for patient and hospital characteristics. RESULTS: Among 609 350 patients with acute ischemic stroke, 29 751 of 546 407 (5.4%) had documented prestroke dementia (median age, 84 [interquartile range, 78–89]; 62.8% female). Patients with versus without premorbid dementia were more likely to arrive via emergency medical services (70.5% versus 46.8%) and had more severe strokes (median National Institutes of Health Stroke Scale score, 7 [interquartile range, 3–15] versus 3 [interquartile range, 1–8]). They were less likely to be admitted to a comprehensive stroke center (17.9% versus 22.7%; P <0.0001), to receive intravenous thrombolysis (9.6% versus 11.1%; adjusted odds ratio [aOR], 0.91 [95% CI, 0.87–0.95]) or endovascular thrombectomy (4.5% versus 7.4%; aOR, 0.62 [95% CI, 0.56–0.68]), attain each of the Get With The Guidelines-Stroke Achievement Measures and Quality Measures, or attain defect-free stroke care (92.0% versus 95.0%; aOR, 0.75 [95% CI, 0.71–0.78]). Patients with premorbid dementia had longer door-to-needle times (adjusted difference, 3.17 minutes [95% CI, 1.34–5.01]), lower odds of being discharged home (43.8% versus 60.1%; aOR, 0.96 [95% CI, 0.93–1.00]), and higher odds of being nonambulatory at discharge (25.8% versus 9.3%; aOR, 1.62 [95% CI, 1.54–1.69]), and of in-hospital mortality or hospice admission (23.3% versus 8.6%; aOR, 1.38 [95% CI, 1.32–1.43]). Symptomatic intracranial hemorrhage after intravenous thrombolysis/endovascular thrombectomy did not differ (5.3% versus 3.7%; aOR, 1.13 [95% CI, 0.97–1.31]). CONCLUSIONS: Patients with premorbid dementia experienced slightly poorer quality of stroke care across multiple measures, were less likely to receive acute stroke interventions, and had worse poststroke outcomes than patients without dementia in a large nationwide registry. Our findings underscore the need for concerted efforts to further improve care quality and outcomes in this population.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.302
Teacher spread0.282 · 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 source (direct Gemma or distilled Codex), 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

Citations4
Published2024
Admission routes1
Has abstractyes

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