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In‐hospital myocardial infarction following acute ischaemic stroke: an observational study

2009· article· en· W2142108419 on OpenAlexafffundabout
Joy Liao, Martin O’Donnell, Frank L. Silver, Deva Thiruchelvam, Gustavo Saposnik, Jiming Fang, Linda Gould, Nabil Hussein Mohamed, Moira K. Kapral

Bibliographic record

VenueEuropean Journal of Neurology · 2009
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsHamilton Health SciencesInstitute for Clinical Evaluative SciencesUniversity of TorontoMcMaster University
FundersCanadian Stroke Network
KeywordsMedicineMyocardial infarctionModified Rankin ScaleStroke (engine)Internal medicineCardiologyInfarctionCohortCohort studyIschemiaIschemic stroke

Abstract

fetched live from OpenAlex

BACKGROUND AND PURPOSE: Acute myocardial infarction is expected to be an important medical complication following ischaemic stroke. We sought to describe the frequency and clinical impact of in-hospital myocardial infarction following acute ischaemic stroke. METHODS: Consecutive patients with acute ischaemic stroke were identified from the Registry of the Canadian Stroke Network (2003-2006). Stroke severity was measured using the Canadian Neurological Scale (CNS). Functional status at discharge was measured with the modified-Rankin Scale, and categorized into strokes with no or mild-moderate dependency (m-Rankin 0-3) and those with severe dependence or death (m-Rankin 4-6). Multivariable logistic regression was used to determine the association between myocardial infarction and clinical outcome (death or severe dependence at hospital discharge and 1 year mortality), independent of co-morbidities and in-hospital medical complications. RESULTS: In total, 9180 patients with acute ischaemic stroke were included. The mean age was 72 years (SD 13.9) and 48% were female. Overall, 211 (2.3%) patients were reported to have myocardial infarction during hospitalization. At hospital discharge, 64.9% of patients with in-hospital myocardial infarction had died or were severely disabled, compared with 35.8% in the entire cohort. Mortality at 1 year after ischaemic stroke was 56.4% in patients with myocardial infarction and 21.9% in the entire cohort. On multivariable analyses, myocardial infarction was also associated with death or severe dependence at discharge (OR 2.51; 95%CI 1.75-3.59) and mortality within 1 year (HR 1.83; 95%CI 1.51-2.23). Previous history of myocardial infarction (OR 1.50; 95%CI 1.05-2.15), diabetes mellitus (OR 1.55; 95%CI 1.42-2.10), stroke severity (OR 1.13; 95% CI 1.09-1.17) and peripheral vascular disease (OR 1.61; 95%CI 1.04-2.49) were independently associated with myocardial infarction during hospitalization. CONCLUSIONS: Myocardial infarction is an important medical complication after acute ischaemic stroke.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.181
Threshold uncertainty score0.620

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.037
GPT teacher head0.306
Teacher spread0.269 · 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 teacher head, 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

Citations37
Published2009
Admission routes3
Has abstractyes

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