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Record W2914151692 · doi:10.1161/str.50.suppl_1.tp535

Abstract TP535: Degree of Cognitive Impairment Based on Subarachnoid Hemorrhage-Associated Early Brain Injury

2019· article· en· W2914151692 on OpenAlexaboutno aff
Melissa Lara-Angulo, Joseph R. Geraghty, Bayan Moustafa, Muhammad Rizwan Husain, Matthew Oparowski, Norma Castillo, Fernando D. Testai

Bibliographic record

VenueStroke · 2019
Typearticle
Languageen
FieldMedicine
TopicIntracranial Aneurysms: Treatment and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMontreal Cognitive AssessmentSubarachnoid hemorrhageNeurocognitiveInternal medicineStroke (engine)Tertiary referral hospitalTraumatic brain injuryCognitive impairmentAnesthesiaCardiologyPhysical therapyCognitionPediatricsRetrospective cohort studyPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Cognitive impairment is common after aneurysmal subarachnoid hemorrhage (aSAH), however differences between low and high grade aSAH is less well defined. In this study we investigated the contribution of aSAH-associated early brain injury (EBI) to neurocognitive decline. Methods: We retrospectively studied aSAH patients admitted to a tertiary referral center (group 1). EBI was defined as mild, moderate, or severe based on baseline Hunt and Hess score (1-2 vs. 3 vs. 4-5, respectively). Cognition was assessed by the Montreal Cognitive Assessment (MoCA) administered by blinded personnel prior to hospital discharge. Sociodemographic characteristics and pertinent complications, including use of ventricular diversion, vasospasm, delayed neurologic deterioration, and cerebral infarct were recorded. Ischemic stroke (group 2) and non-neurological patients (group 3) served as controls. MoCA scores were compared using ANCOVA adjusting for baseline differences. Results: Groups 1, 2, and 3 included 84, 43, and 25 patients, respectively. There was no difference in sex but there was a difference in age (52.2±12.2, 60.5±14.9, 52.2±7.0 years, p=0.008). MoCA scores (mean±SD) for groups 1, 2, and 3 were 20.0±5.2, 20.0±5.4, and 23.6±5.0. These differences were statistically different after adjustment for age and level of education (p=0.001). In pairwise analysis, MoCA scores for aSAH patients were similar to ischemic stroke but lower than for non-neurologic patients. Among aSAH patients, the rate of mild, moderate, and severe EBI were 71%, 21%, and 8% (MoCA scores 20.7±5.3, 18.2±4.9 and 18.3±4.2, respectively). No significant differences in MoCA scores were noted based on EBI severity. Also, the scores of aSAH patient with mild EBI were comparable to ischemic stroke but lower than for non-neurological controls. Conclusion: Cognitive decline is commonly seen in aSAH survivors irrespective of the EBI severity. The cognitive decline observed in mild EBI patients highlights an underappreciated degree of cognitive decline in individuals who are otherwise expected to have good outcomes. Cognitive screening in low-grade aSAH patients is warranted.

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)0.001
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.016
GPT teacher head0.262
Teacher spread0.246 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

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