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Record W4210298534 · doi:10.1161/str.53.suppl_1.35

Abstract 35: Unmet Need In Acute Ischemic Stroke Patients Arriving After 4.5 Hours

2022· article· en· W4210298534 on OpenAlexaff
Brian Mac Grory, Ying Xian, Nicole Solomon, Roland Matsouaka, Marquita Decker‐Palmer, Gregg C. Fonarow, Eric E. Smith, Lee H. Schwamm

Bibliographic record

VenueStroke · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineStroke (engine)Arrival timeEmergency medicinePopulation

Abstract

fetched live from OpenAlex

Introduction: Many patients arrive beyond the guideline-recommended time window for treatment with IV alteplase. For most of these patients, few treatment options exist. There is a need to understand the characteristics, outcomes, and healthcare costs of patients in this population in order to develop new treatments options. Methods: We analyzed patients ≥65 years old with a primary diagnosis of AIS arriving within 24 hours of time last known well (LKW) but not treated with IV alteplase at Get With The Guidelines-Stroke Hospitals in the United States (Jan 2016 - Dec 2016). We report clinical characteristics, 90-day and 1-year outcomes including Medicare costs, stratified by time from LKW to arrival (≤4.5 hours, >4.5-6 hours and >6-24 hours). Results: Of 39,760 patients (80.0% White, 10.5% Black, 4.1% Hispanic, 2.2% Asian), 20,369 (51.2%) presented from 4.5 - 24 hours of LKW. Compared to patients arriving within ≤4.5 hours, patients arriving within 4.5 - 24 hours of LKW were more likely to be Black, Hispanic, or Asian (≤4.5 hours: 9.4% Black, 3.8% Hispanic, 1.9% Asian; >4.5 - 6 hours: 11.7% Black, 4.1% Hispanic, 2.4% Asian; >6 - 24 hours since LKW: 11.6% Black, 4.4% Hispanic, 2.6% Asian; p < 0.001). The most common discharge location for those arriving within ≤4.5 hours was home; for those arriving >4.5 hours since LKW the most common discharge location was inpatient rehab (IRF) or skilled nursing facility (SNF) (≤4.5 hours: 44.7% home vs 42.3% IRF or SNF; >4.5 - 6 hours: 35.4% home vs 51.7% IRF or SNF; >6 - 24 hours: 35.8% home vs 51.0% IRF or SNF). The 90-day and 1-year mortality rates were 18.9% and 30.0% in those arriving within ≤4.5 hours, 19.0% and 29.8% in those arriving between 4.5 - 6 hours, and 19.1% and 29.1% in those arriving between 6 - 24 hours. Median 90-day inpatient costs were highest among those arriving 6 - 24 hours from LKW (≤4.5 hours: $9,471 [IQR: 5,622-21,356]; >4.5 - 6 hours: $10,884 [IQR: 6,036-25,992]; 6 -24 hours: $11,162 [6,073-26,372]). Conclusions: Results show the importance of timely hospital arrival, as well as a need to address racial disparities in arrival times, reduce costs, and develop new treatment options for patients with AIS arriving after 4.5 hours from last known well time.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.017
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.008
GPT teacher head0.239
Teacher spread0.232 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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