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Record W2160638108 · doi:10.1510/icvts.2005.125757

Fatal early acute thrombosis of mechanical mitral prosthesis

2006· article· en· W2160638108 on OpenAlexaboutno aff
Uday Dandekar

Bibliographic record

VenueInteractive Cardiovascular and Thoracic Surgery · 2006
Typearticle
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyThrombusMitral valve replacementInternal medicineThrombosisSurgeryMitral valveTricuspid valvePulmonary arteryProsthesisCoronary artery diseaseStenosis

Abstract

fetched live from OpenAlex

OBJECTIVE: To report a rare case of fatal early acute thrombosis of mechanical mitral prosthesis. METHODS: A 62-year-old lady, who underwent closed mitral valvotomy for rheumatic heart disease 19 years ago, presented with Canadian Cardiovascular Society Class II angina and New York Heart Association Class III dyspnoea. Investigations including echocardiogram and cardiac catheterisation revealed mixed mitral valve disease. She had severe pulmonary artery hypertension with pulmonary artery wedge pressure of 35 mm of mercury. Significant stenosis in the midportion of dominant right coronary artery was also demonstrated. She underwent mitral valve replacement using mechanical tilting disc prosthesis, DeVega tricuspid annuloplasty and saphenous vein bypass graft to the distal right coronary artery. After having made satisfactory early postoperative progress, she suffered an asystolic cardiac arrest about 26 h postoperatively. RESULTS: The patient succumbed despite all resuscitative measures. Autopsy revealed an adherent thrombus occluding the atrial surface of the minor orifice of mechanical prosthesis, which prevented the valve from functioning. CONCLUSION: To the best of our knowledge, this is the first case of prosthetic valve thrombosis (PVT) occurring on the first postoperative day in a patient with a mechanical valve prosthesis, without any circulatory assist device.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.761

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.006
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 head0.018
GPT teacher head0.323
Teacher spread0.304 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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