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Record W4410122489 · doi:10.24908/pocusj.v10i01.18433

A Right Turn in Diagnosis: Highlighting the Importance of TAPSE in Isolated Right Ventricular Myocardial Infarction

2025· article· en· W4410122489 on OpenAlexvenueno aff
Vasudha Dinesh, Arun A Mohanan, Amaravathi Uthayakumar

Bibliographic record

VenuePOCUS Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsnot available
Fundersnot available
KeywordsCardiologyInternal medicineMedicineMyocardial infarctionElectrocardiography in myocardial infarctionST segmentVentricular functionChest painEmergency department

Abstract

fetched live from OpenAlex

Isolated right ventricular myocardial infarction (RVMI) is a rare but significant clinical entity that can present with atypical findings on a standard electrocardiograph (ECG). We present the case of a 65-year-old man with a history of chronic smoking and alcohol use who presented to the emergency department with acute chest pain. An initial ECG showed ST-segment elevation in lead V1 and depression in leads I, aVL, and V2-V6, which did not meet ST-segment elevation myocardial infarction (STEMI) criteria. A right-sided ECG revealed ST-segment elevation in V3R-V6R, concerning for RVMI. Notably, cardiac point of care ultrasound (POCUS) demonstrated normal left ventricular (LV) function without LV or right ventricular (RV) regional wall motion abnormalities (RWMA). However, tricuspid annular plane systolic excursion (TAPSE) was significantly reduced at 1 cm, indicating RV dysfunction despite the absence of RWMA. This is the first known case report that highlights the importance of TAPSE in assessing RV function in isolated RVMI cases. Early recognition and management are crucial, especially in patients with typical presentations, as prompt treatment can prevent complications. This case underscores the need for emergency physicians to maintain a high index of suspicion for RVMI, particularly in atypical presentations, and to utilize cardiac POCUS as an essential tool for evaluation.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.017
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.004
GPT teacher head0.248
Teacher spread0.244 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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