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Record W2467166443 · doi:10.14740/cr471w

A Sudden Change of Heart: A Case of Rapidly Reversed Stress Cardiomyopathy in a Critically Ill Patient

2016· article· en· W2467166443 on OpenAlexvenueno aff
Michael I. Brener, Ali R. Keramati, Marek A. Mirski, and Oscar H. Cingolani

Bibliographic record

VenueCardiology Research · 2016
Typearticle
Languageen
FieldMedicine
TopicTakotsubo Cardiomyopathy and Associated Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineEjection fractionCardiologyInternal medicineCardiomyopathyInotropeHeart failurePulseless electrical activityCardiac catheterizationAnesthesiaResuscitationCardiopulmonary resuscitation

Abstract

fetched live from OpenAlex

We report the case of a 79-year-old woman who presented to our hospital for elective removal of an infratentorial meningioma and suffered a periprocedural cardiac arrest. Shortly after uncomplicated induction of anesthesia prior to the surgery, the patient became hypotensive and bradycardic, culminating ultimately in a cardiac arrest with pulseless electrical activity. Return of spontaneous circulation occurred within 90 seconds of arrest, but the patient remained dependent on maximal doses of epinephrine and dopamine for hemodynamic support. Echocardiography performed on the day of cardiac arrest revealed a newly depressed left ventricular ejection fraction (LVEF) of 15-20% with an apical ballooning pattern. Left heart catheterization showed no obstructive coronary lesions to explain her depressed ejection fraction. A diagnosis of stress cardiomyopathy (SCM) was made given the echocardiographic findings and absence of concomitant coronary disease. Within the next 24 hours, the patient was liberated from inotropic support, and at 6-month follow-up, her LVEF returned to 55% and she had no heart failure symptoms.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.075
GPT teacher head0.362
Teacher spread0.287 · 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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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