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Record W1604123738 · doi:10.1161/str.45.suppl_1.40

Abstract 40: The Impact of an Institutional Acute Stroke Protocol on Time to Treatment of Childhood Stroke

2014· article· en· W1604123738 on OpenAlexaff
Melissa Shack, Andrea Andrade, Manohar Shroff, Mahendranath Moharir, Ivanna Yau, Rand Askalan, Daune MacGregor, Mubeen F. Rafay, Julie Paterson, Gabrielle deVeber

Bibliographic record

VenueStroke · 2014
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsInstitute for Clinical Evaluative SciencesChildren's Hospital of WinnipegHospital for Sick Children
Fundersnot available
KeywordsMedicineAntithromboticStroke (engine)Protocol (science)NeuroimagingPediatricsAcute strokePediatric strokeEmergency medicineInternal medicineIschemic strokeIschemiaPsychiatryPathology

Abstract

fetched live from OpenAlex

Introduction: In pediatric stroke, reported median delays from symptom onset to imaging diagnosis are 16-24hrs. This results in delayed treatment initiation. The impact of an Acute Stroke Protocol in pediatric hospitals has not been reported. Such a program was implemented at SickKids in 2005. The current study measured the impact of this protocol on delays to diagnosis and initiation of antithrombotic agents. Methods: We compared time to diagnosis and treatment in children (age 1mo-18yrs) with acute AIS diagnosed after stroke protocol implementation (‘post-protocol’ from 2005-2012), to 209 children diagnosed ‘pre-protocol’ 1992-2004. Focused health record reviews abstracted intervals from symptom onset to diagnosis and to initiation of first antithrombotic treatment. We statistically compared time intervals in pre and post-protocol cohorts. Results: Among 118 children diagnosed post-protocol (75 outpatient and 43 inpatient strokes), median age was 5.8 years with 65 males. Median delay from symptom onset to diagnosis in post-protocol children was similar to pre-protocol children, for all strokes (19.9hrs vs 22.7hrs respectively; p=0.24), outpatient (22.4hrs vs 29.1hrs; p=0.12) and inpatient strokes (12.8hrs vs 14.6hrs; p=0.92). The main contributors to diagnosis beyond 6 hrs were delays in initial neuroimaging (25% of delays) and false-negative neuroimaging results (19% of delays) in CT scan as first test. The interval from diagnosis to antithrombotic treatment was more frequently within 24 hours for children treated post-protocol (55.1% vs 18.7% pre-protocol;p<0.0001) and in post-protocol children this interval was median 4.5 hrs (IQR 1.9-16.6). Also children with inpatient strokes more frequently received antithrombotic agents post-protocol (58% vs 35% pre-protocol;p=0.031). The types of antithrombotic treatments were similar (p=0.337). Conclusions: The implementation of an Acute Stroke Protocol in our children’s hospital reduced the time to initiation of antithrombotic treatment. As thrombolysis and other hyper-acute treatments become available, the implementation of institutional Acute Stroke Protocols in children’s hospitals will be an important strategy to increase access to these therapies for children with AIS.

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)0.011
metaresearch head score (Gemma)0.062
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 score0.012
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.062
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.305
Teacher spread0.293 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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