Evidence map›Paper›PMID 38261025›Full record

ArticleClinical research in cardiology : official journal of the German Cardiac Society2024

Patterns of left ventricular remodeling post-myocardial infarction, determinants, and outcome.

Damien Logeart, Yoann Taille, Geneviève Derumeaux, Barnabas Gellen, Marc Sirol, Michel Galinier, François Roubille, Jean-Louis Georges, Jean-Noël Trochu, Jean-Marie Launay and 4 more

Abstract readMulticenter Study
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In one paragraph

Article in Clinical research in cardiology : official journal of the German Cardiac Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Sex-specific structural and functional cardiac remodeling during healthy aging assessed by cardiovascular magnetic resonance.Clinical research in cardiology : official journal of the German Cardiac Society · 2025
    Article
  4. Review
  5. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Damien LogeartUMR-S 942 MASCOT, Université Paris Cité and Inserm, Paris, France. damien.logeart@aphp.fr.ORCID http://orcid.org/0000-0002-9971-9757
Yoann TailleAssistance Publique Hôpitaux de Paris, Hôpital Lariboisière-Fernand Widal, 75010, Paris, France.
Geneviève DerumeauxAssistance Publique Hôpitaux de Paris, Hôpital Henri-Mondor, Créteil, France.
Barnabas GellenELSAN - Polyclinique de Poitiers, Poitiers, France.
Marc SirolAmerican Hospital, Neuilly-Sur-Seine, France.
Michel GalinierRangeuil Universitary Hospital, Toulouse, France.
François RoubilleArnaud de Villeneuve Universitary Hospital, Montpellier, France.
Jean-Louis GeorgesAndre Mignot Hospital, Versailles, France.
Jean-Noël TrochuUniversitary Hospital, Nantes, France.
Jean-Marie LaunayUMR-S 942 MASCOT, Université Paris Cité and Inserm, Paris, France.
Nicolas VodovarUMR-S 942 MASCOT, Université Paris Cité and Inserm, Paris, France.
Christophe BautersInstitut Cœur Poumons, Universitary Hospital, Lille, France.
Eric VicautUMR-S 942 MASCOT, Université Paris Cité and Inserm, Paris, France.
Jean-Jacques MercadierUniversité Paris Cité, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimLeft ventricular remodeling (LVR) after myocardial infarction (MI) can lead to heart failure, arrhythmia, and death. We aim to describe adverse LVR patterns at 6 months post-MI and their relationships with subsequent outcomes and to determine baseline. METHODS AND

resultsA multicenter cohort of 410 patients (median age 57 years, 87% male) with reperfused MI and at least 3 akinetic LV segments on admission was analyzed. All patients had transthoracic echocardiography performed 4 days and 6 months post-MI, and 214 also had cardiac magnetic resonance imaging performed on day 4. To predict LVR, machine learning methods were employed in order to handle many variables, some of which may have complex interactions. Six months post-MI, echocardiographic increases in LV end-diastolic volume (LVEDV), LV end-systolic volume (LVESV), and LV ejection fraction (LVEF) were 14.1% [interquartile range 0.0, 32.0], 5.0% [- 14.0, 25.8], and 8.7% [0.0, 19.4], respectively. At 6 months, ≥ 15% or 20% increases in LVEDV were observed in 49% and 42% of patients, respectively, and 37% had an LVEF < 50%. The rate of death or new-onset HF at the end of 5-year follow-up was 8.8%. Baseline variables associated with adverse LVR were determined best by random forest analysis and included stroke volume, stroke work, necrosis size, LVEDV, LVEF, and LV afterload, the latter assessed by Ea or Ea/Ees. In contrast, baseline clinical and biological characteristics were poorly predictive of LVR. After adjustment for predictive baseline variables, LV dilation > 20% and 6-month LVEF < 50% were significantly associated with the risk of death and/or heart failure: hazard ratio (HR) 2.12 (95% confidence interval (CI) 1.05-4.43; p = 0.04) and HR 2.68 (95% CI 1.20-6.00; p = 0.016) respectively.

conclusionDespite early reperfusion and cardioprotective therapy, adverse LVR remains frequent after acute MI and is associated with a risk of death and HF. A machine learning approach identified and prioritized early variables that are associated with adverse LVR and which were mainly hemodynamic, combining LV volumes, estimates of systolic function, and afterload.

Indexed as

EchocardiographyMyocardial InfarctionStroke VolumeVentricular Function, LeftVentricular RemodelingAgedFemaleFollow-Up StudiesHeart FailureHumansMagnetic Resonance Imaging, CineMaleMiddle AgedPrognosisRisk FactorsTime FactorsMachine learningMyocardial infarctionVentricular remodeling

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.