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Record W4413754688 · doi:10.1016/j.jaccas.2025.104814

Managing Acute Myocardial Infarction in Shock and Anemia

2025· article· en· W4413754688 on OpenAlexaff
Mehdi Madanchi, Emilie P. Belley‐Côté, Silvia Maiorano, Michael B. Tsang

Bibliographic record

VenueJACC Case Reports · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myocardial Infarction Research
Canadian institutionsHamilton Health SciencesMcMaster UniversityPopulation Health Research Institute
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsMyocardial infarctionCardiologyMedicineShock (circulatory)Internal medicineAnemiaIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Patients presenting with ST-segment elevation myocardial infarction (STEMI) and concurrent anemia or active bleeding present a therapeutic dilemma. CASE SUMMARY: A 61-year-old woman with a history of pulmonary embolism and a newly discovered lung mass presented with inferior STEMI, critically low hemoglobin level, and hemodynamic instability. Coronary angiography revealed thrombotic occlusion of the posterior left ventricular and posterior descending artery. Revascularization was performed using a drug-eluting balloon (DEB)-only strategy. DISCUSSION: This case illustrates the need for individualized treatment in STEMI patients with cardiogenic shock and high bleeding risk. A DEB-only strategy can be a valuable approach when prolonged antiplatelet therapy is not feasible. TAKE HOME MESSAGES: STEMI in anemic patients poses a major diagnostic challenge. Balancing thrombotic and bleeding risk is a common and challenging aspect of STEMI care. In this setting, the use of DEBs can be a viable alternative to stent implantation for patients with active bleeding.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.147
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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 designCase report
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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