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Record W4396607202 · doi:10.1016/j.jscai.2024.101661

C-32 | Angina with No Obstructive Coronary Artery Disease and Migraines

2024· article· en· W4396607202 on OpenAlexaboutno aff
Jacob Davis, Namrita Ashokprabhu, Nicholas Lipovsek, Lauren Thompson, Michelle Hamstra, Timothy D. Henry, Odayme Quesada

Bibliographic record

VenueJournal of the Society for Cardiovascular Angiography & Interventions · 2024
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyAnginaInternal medicineCoronary artery diseaseMyocardial infarction

Abstract

fetched live from OpenAlex

Coronary microvascular dysfunction (CMD) and coronary vasospasm are the predominant pathophysiological mechanisms causing angina in patients with no obstructive coronary artery disease referred to as ANOCA. ANOCA and migraines more commonly affect women and are both associated with vasomotor abnormalities. However, little is known on the association between migraines and anginal symptoms and CMD in patients with ANOCA. In a prospective registry, among ANOCA patients (defined as angina and <50% stenosis in the major epicardial vessels) we examined differences in anginal symptoms in patients with and without migraine history based on Canadian Cardiovascular Society (CCS) angina class, Seattle Angina Questionnaire-7 (SAQ-7), and University of California San Diego Shortness of Breath Questionnaire (UCSD SOB) scores. Doppler-based CFR measures were compared in patients with coronary functional angiography (CFA). Differences between patients with and without migraines were analyzed with t-tests and Wilcoxon rank sums for normally and non-normally distributed variables respectively. Among the 759 ANOCA patients, 97.2% were female and 24.6% patients had a history of migraines. Patients with migraines had a higher prevalence of prediabetes, heart failure with preserved ejection fraction (HFpEF) and vasospastic angina compared to those without migraines. SAQ-7 scores were significantly lower (41.6 ± 20.91 vs. 47.7 ± 20.62 p=0.001) and UCSD SOB score was significantly higher (32.8 ± 24.30 vs. 28.9 ± 24.1, p= 0.028) in patients with migraines indicating worse angina and SOB compared to without. No significant difference in CCS angina class between groups. Among the 228 ANOCA patients who underwent CFA, 34.8% had migraines and there was no significant difference in CFR. ANOCA patients with a history of migraines have more vasospastic angina and experience worse anginal and SOB symptoms supporting the overlapping vasomotor abnormalities that characterize these disorders. We did not find a difference in CFR; however, further research is needed to understand whether microvascular and epicardial vasospasm are associated with migraines among ANOCA patients.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (broad)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.918

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.091
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.247
Teacher spread0.227 · 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.

Study designMeta-analysis
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
Published2024
Admission routes1
Has abstractyes

Explore more

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