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Record W4406993867 · doi:10.1161/str.56.suppl_1.tp263

Abstract TP263: Blood pressure trends during first forty-eight hours post arterial ischemic stroke in children with arteriopathy disease

2025· article· en· W4406993867 on OpenAlexaff
Elya Quesnel, Anne‐Marie Guerguerian, Norbert Chin, Alexandra Linds, Min Sheng, Elizabeth Pulcine, Mahendranath Moharir, Gabrielle deVeber, Nomazulu Dlamini

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversité de Montréal
Fundersnot available
KeywordsMedicineBlood pressureStroke (engine)CardiologyIschemic strokeArterial diseaseArterial Ischemic StrokeDiseaseInternal medicineVascular diseaseIschemia

Abstract

fetched live from OpenAlex

Introduction: Children with arteriopathy are at an increased risk to develop ischemic stroke that can lead to lifelong neurological deficits. Blood pressure is an important modifiable factor associated with poor neurological outcomes. However, there is a lack of sufficient evidence to provide patient specific blood pressure guidelines post pediatric ischemic stroke. Objective: We aimed to evaluate blood pressure averages and changes in pediatric patients with arteriopathy within the first 48 hours in intensive care after an arterial ischemic stroke. Method: We conducted a retrospective study of children diagnosed with acute arterial ischemic stroke admitted to the pediatric intensive care unit (PICU). We reviewed data on demographics, clinical outcome, radiologic, hemodynamic signs, and medication within PICU. Ischemic lesion volume size was obtained from Diffusion-Weighted Imaging by a full-trained neuroradiologist. Blood pressure percentile was obtained based on age, sex, and the 50 th height rang. We also contrasted blood pressures of stroke patients with age and admission year matched controls without a history of stroke. We used linear regression to model blood pressure trends, t-test to compare continuous data, and chi square analyses to compare discrete data points. Results: Forty-five patients (49% female, median age 7.8 years, range age 17 years) were included. Arteriopathy disease included Dissection, Moyamoya, Focal Cerebral Arteriopathy and Vasculitis. Despite only a minority of patients being on vasoactive medications, patients with arteriopathy had higher blood pressures compared to age-matched control PICU patients in the first 48 hours. In addition, 31% of arteriopathy patients had an average systolic blood pressure greater than the 95 th percentile for the first two days after an acute arterial ischemic stroke, versus only 14% of their control (p-value < 0.05). Neurological deficits and increased brain ischemic lesion volume were associated with higher blood pressures. Conclusion: Understanding blood pressure trends and outcomes after an ischemic stroke in children at risk is crucial to guide the management of this modifiable factor. Blood pressure in children with arteriopathy is increased after an ischemic stroke compared to controls admitted to PICU. Further research into the etiology of differences observed here and blood pressure management is crucial to reducing the burden of pediatric ischemic stroke on this at risk 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)0.000
metaresearch head score (Gemma)0.002
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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.201
Teacher spread0.198 · 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
Published2025
Admission routes1
Has abstractyes

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