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Tricuspid valve replacement after cardiac transplantation

2006· article· en· W2043786009 on OpenAlexaff
Ramya Raghavan, Renzo Cecere, Marcelo Cantarovich, Nadia Giannetti

Bibliographic record

VenueClinical Transplantation · 2006
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineTricuspid valveTransplantationCardiologyCardiac valveInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Tricuspid regurgitation (TR) occurs commonly in transplanted hearts. Although theoretically attractive, tricuspid valve replacement (TVR) has not been widely investigated as a possible therapy in post-transplant patients. The purpose of this study was to determine the safety of TVR in heart transplant patients and its effects on measurable clinical endpoints. METHODS: We acquired data by both retrospective chart review and prospective data collection in all patients who underwent TVR after cardiac transplantation. RESULTS: Nine patients were identified and followed for a period of six months. The age of patients at time of TVR was 62 +/- 6.1 yr and their average time since transplantation was 12 +/- 3.2 yr. Most patients demonstrated a reduction in their furosemide dose (105 +/- 63 mg/d pre-TVR vs. 67.5 +/- 65 mg/d post-TVR, p = 0.001) with a reduction in serum creatinine levels (188 +/- 72 micromol/L pre-TVR vs. 143 +/- 42 micromol/L post-TVR, p = 0.06). Additionally, we found a significant improvement in albumin values (32 +/- 5 g/L pre-TVR vs. 42 +/- 3 g/L post-TVR, p = 0.002) as well as an improvement in total bilirubin (35 +/- 18 micromol/L pre-TVR vs. 18 +/- 5 micromol/L post-TVR, p = 0.05). There was only one death in our series, in the only patient with known severe graft atherosclerosis. CONCLUSIONS: TVR appears to be a safe procedure in patients without severe graft atherosclerosis with improvements in serum creatinine, albumin and total bilirubin values, in addition to a reduction in furosemide dose. This may reflect improved forward flow, improved symptomatology from TR as well as possible beneficial effects on nutritional status.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.040
GPT teacher head0.382
Teacher spread0.342 · 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.

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

Citations16
Published2006
Admission routes1
Has abstractyes

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