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Moderate ischemic mitral regurgitation at rest is associated with multiple functional vulnerabilities during stress echocardiography

2025· article· en· W7128048390 on OpenAlexaff
A Zagatina, Chirino Ciampi, A Boshchenko, H R Hugo Rodriguez-Zanella, Ratnasari Padang, Francesca Bursi, M G D Alfonso, R O S I N A Arbucci, A S Ariel Saad, Д. В. Шматов, E L E N A Kalinina, О. А. Журавлева, G C Kane, P A Pellikka, E Picano

Bibliographic record

VenueEuropean Heart Journal · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Function and Risk Factors
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsStress EchocardiographyEjection fractionCoronary artery diseaseMyocardial infarctionMitral regurgitationStroke volumePulmonary arteryProspective cohort study

Abstract

fetched live from OpenAlex

Abstract Background Ischemic mitral regurgitation (IMR) is a common complication of coronary artery disease (CAD), often occurring after myocardial infarction (MI). Even when moderate in severity, IMR is associated with adverse outcomes, including a twofold increase in mortality rates. Aim To assess the functional correlates of resting IMR during stress echocardiography (SE) in patients with CAD. Methods This prospective multicenter study included 192 patients with CAD (143 males; mean age 65 ± 10 years) from eight cardiology institutions. Exclusion criteria included a history of coronary artery bypass surgery, more than moderate IMR, and other significant valvular diseases. Patients were divided into two groups based on semiquantitative- quantitative assessment at rest based on EACVI-ASE criteria: Group 1: Patients with moderate IMR, Group 2: Patients without IMR or with trivial IMR. All patients underwent stress echocardiography (SE) using the ABCE protocol. Patients underwent exercise tests, if execise echocardiography was not possible, dobutamine stress tests were performed. At rest and peak SE, we assessed: Left atrial volume index (LAVi), Left ventricular end-diastolic (LV EDV) and end-systolic volumes (LV ESV), ejection fraction (EF), wall motion score index (WMSI), global longitudinal strain (GLS), B-lines (4-site simplified scan), tricuspid annular plane systolic excursion (TAPSE), systolic pulmonary artery pressure (SPAP), LV contractile reserve (LVCR) and heart rate reserve (HRR). Results Despite similar EF at rest, Group 1 patients showed more pronounced functional impairment at rest, which increased during stress. Stress-induced functional worsening affected indices of MR (more frequently becoming severe), ischemic burden (WMSI), diastolic function (LAVI and LVEDV dilation), LV systolic function (LVCR), pulmonary congestion (B-lines), cardiac sympathetic reserve (reduced HRR) and right ventricular/pulmonary artery coupling (reduced TAPSE/SPAP): table 1. Conclusion Compared to CAD patients with absent-to-trivial resting IMR, patients with moderate IMR at rest show a constellation of functional vulnerabilities during SE involving more frequent exercise-induced worsening of MR, blunted LV diastolic and systolic reserve, more pulmonary congestion, impaired cardiac autonomic reserve, and worse right ventricular-pulmonary artery coupling. The individual patient's functional response heterogeneity can be identified with comprehensive exercise SE, possibly a roadmap to personalized and targeted therapeutic interventions.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.240
Teacher spread0.221 · 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 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
Published2025
Admission routes1
Has abstractyes

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