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Record W3179882093 · doi:10.1093/ehjci/jeab090.108

CMR assessment of right ventricular remodeling after transcatheter therapy for severe tricuspid regurgitation

2021· article· en· W3179882093 on OpenAlexaboutno aff
Brunilda Alushi, Osama Bisht, Niels Menck, Violeta Mattea, Y Primet, Kaspar Schindler, Ralf Puls, Jeanette Schulz‐Menger, Alexander Lauten

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Imaging · 2021
Typearticle
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCardiologyInternal medicineRegurgitation (circulation)Ejection fractionIntracardiac injectionPulmonary hypertensionStroke volumeVentricular remodelingHeart failureCardiac magnetic resonance imagingProspective cohort studyVentricleMagnetic resonance imagingTricuspid valveRadiology

Abstract

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Abstract Funding Acknowledgements Type of funding sources: Private hospital(s). Main funding source(s): Helios Clinical Research Institute Background/Introduction Patients with severe tricuspid regurgitation (TR) are characterized from severe dilatation and negative remodeling of the right heart chambers causing functional right ventricular (RV) failure and increased mortality and morbidity. The transcatheter tricuspid edge-to-edge repair (TTVR) is a new treatment option associated with symptom improvement and reduced hospitalization. The cardiac magnetic resonance imaging (CMRI) remains the gold standard for evaluating the right ventricular morphology and function and could be a useful in assessing the RV reverse remodeling after TTVR. The Tricuspid Regurgitation REgistry (TRuE) is an ongoing national prospective register of patients with severe TR that aims to identify morphofunctional parameters of the right heart chambers related to improve outcomes after TTVR. Purpose The present is a subanalysis of patients with serial CMRI examinations recruited in the ongoing prospective TRuE registry. Methods After excluding patients with intracardiac RV leads, seven patients (age 70 ±12 years) with completed thirty-day follow up were included in the present analysis. Retrospective gated steady state free precession cine images were acquired in the long and short-axis views covering the entirety of both ventricles. Aortic and pulmonary flow data were acquired with a flow-sensitive gradient echo sequence. Assessment of left ventricular (LV) and RV volumes was performed manually in the short-axis cine images (Circle Cardiovascular Imaging, Calgary, Alberta, Canada). The TR fraction was calculated as: ({total RV stroke volume (SV) – total pulmonary forward flow}/total RVSV) × 100. All volumes and flow measurements were indexed for body surface area and expressed in ml/m2. The ratio between the diameter of pulmonary artery (PA) and ascending aorta (AA) was used as indirect measurement of pulmonary arterial hypertension (PAH). CMRI parameters assessing TR quantification, RV morphology and function were analyzed at baseline and follow-up with Fisher´s test or paired t-test. Results At thirty days there was a significant reduction of the TR fraction (45% to 20%, p < 0.001), RV dilatation (RV-end diastolic volume (EDV): 106 ± 12ml/m2 to 86 ± 9.4ml/m2, p = 0.002, RV- end sistolic volume (ESV):55 ± 6.5 to 43 ± 6.6ml, p = 0.003) and improvement of function (RVEF: 47 ± 3.6 to 53 ± 2.4 %, p = 0.006). On the left heart side, there was an improvement of LV filling, with increased LVEDV and LVESV and of the LVSV (36 ± 5.3 to 41 ± 3.7ml/m2, p = 0.040), causing an improvement of the cardiac index (2.2 ± 0.9 l/min/m2 to 2.9 ± 0.7 l/min/m2; p = 0.019. Furthermore, the PA/AA ratio improved significantly (0.91 ± 0.15 to 0.81 ± 0.14, p = 0.006). Conclusion TTVR is associated with positive reverse remodeling of the RV with reduction of dilatation, PAH and function improvement.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.003
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 head0.033
GPT teacher head0.314
Teacher spread0.281 · 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".

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Citations0
Published2021
Admission routes1
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