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Takotsubo Cardiomyopathy and Left Ventricular Outflow Tract Obstruction

2009· article· en· W1969922338 on OpenAlexaff
Paul Fefer, A. Chelvanathan, Alexander Dick, EARL J. TEITELBAUM, B.H. Strauss, Eric A. Cohen

Bibliographic record

VenueJournal of Interventional Cardiology · 2009
Typearticle
Languageen
FieldMedicine
TopicTakotsubo Cardiomyopathy and Associated Phenomena
Canadian institutionsHealth Sciences CentreNorth York General HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsMedicineVentricular outflow tract obstructionCardiologyInternal medicineCardiomyopathyMyocardial infarctionVentricular outflow tractInotropeHemodynamicsShock (circulatory)Cardiac catheterizationHeart failureHypertrophic cardiomyopathy

Abstract

fetched live from OpenAlex

Takotsubo cardiomyopathy often presents to the cardiac catheterization laboratory masquerading as acute ST-elevation myocardial infarction (STEMI). Some of these patients present in shock secondary to dynamic left ventricular outflow tract (LVOT) obstruction. The typical patient is an elderly, hypertensive female with sigmoid deformity of the intraventricular septum. The management of hemodynamic instability in these patients is different from patients with STEMI. While hemodynamic instability in the setting of STEMI is usually treated with inotropic agents and intraaortic balloon counterpulsation, these therapies can increase LVOT pressure gradients in patients with takotsubo cardiomyopathy and lead to deepening of shock and worse outcomes. Thus accurate diagnosis and correct management are essential to prevent mortality in these patients, who will usually go on to have good long-term outcomes. This case report and literature review addresses the clinical characteristics, outcome, and management of these 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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.264
Teacher spread0.252 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations48
Published2009
Admission routes1
Has abstractyes

Explore more

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