Evidence map›Paper›PMID 38863897›Full record

ArticleFrontiers in cardiovascular medicine2024

Non-invasive assessment of left ventricular contractility by myocardial work index in veno-arterial membrane oxygenation patients: rationale and design of the MIX-ECMO multicentre observational study.

Bálint Károly Lakatos, Zsuzsanna Ladányi, Alexandra Fábián, Réka Ehrenberger, Tímea Turschl, Zsolt Bagyura, Bruno Evrard, David Vandroux, Marine Goudelin, Simon Lindner and 10 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

20 authors.

Bálint Károly LakatosHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zsuzsanna LadányiHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Alexandra FábiánHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Réka EhrenbergerHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Tímea TurschlHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zsolt BagyuraHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Bruno EvrardMedical-Surgical ICU, Dupuytren Teaching Hospital, Limoges, France.
David VandrouxCardiothoracic Intensive Care Unit, Dupuytren University Hospital, Limoges, France.
Marine GoudelinMedical-Surgical ICU, Dupuytren Teaching Hospital, Limoges, France.
Simon LindnerCardiology, Angiology, Haemostaseology, and Medical Intensive Care, Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Simone BritschCardiology, Angiology, Haemostaseology, and Medical Intensive Care, Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Daniel DürschmiedCardiology, Angiology, Haemostaseology, and Medical Intensive Care, Medical Centre Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Endre ZimaHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Gergely Richárd CsikósHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Zsolt TúrócziHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Ádám SoltészHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Endre NémethHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Attila KovácsHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Ferenc István ÉdesHeart and Vascular Center, Semmelweis University, Budapest, Hungary.
Béla MerkelyHeart and Vascular Center, Semmelweis University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction and aims: Veno-arterial extracorporeal membrane oxygenation (VA-ECMO) is an increasingly utilized therapeutic choice in patients with cardiogenic shock, however, high complication rate often counteracts with its beneficial cardiopulmonary effects. The assessment of left ventricular (LV) function in key in the management of this population, however, the most commonly used measures of LV performance are substantially load-dependent. Non-invasive myocardial work is a novel LV functional measure which may overcome this limitation and estimate LV function independent of the significantly altered loading conditions of VA-ECMO therapy. The Usefulness of Myocardial Work IndeX in ExtraCorporeal Membrane Oxygenation Patients (MIX-ECMO) study aims to examine the prognostic role of non-invasive myocardial work in VA-ECMO-supported patients. Methods: The MIX-ECMO is a multicentric, prospective, observational study. We aim to enroll 110 patients 48-72 h after the initiation of VA-ECMO support. The patients will undergo a detailed echocardiographic examination and a central echocardiography core laboratory will quantify conventional LV functional measures and non-invasive myocardial work parameters. The primary endpoint will be failure to wean at 30 days as a composite of cardiovascular mortality, need for long-term mechanical circulatory support or heart transplantation at 30 days, and besides that other secondary objectives will also be investigated. Detailed clinical data will also be collected to compare LV functional measures to parameters with established prognostic role and also to the Survival After Veno-arterial-ECMO (SAVE) score. Conclusions: The MIX-ECMO study will be the first to determine if non-invasive myocardial work has added prognostic value in patients receiving VA-ECMO support.

Indexed as

critical careechocardiographyextracorporeal membrane oxygenationmyocardial work indexspeckle-tracking echocardiography

Identifiers

PMID38863897
PMCPMC11165188

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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.