Evidence map›Paper›PMID 38893722›Full record

ArticleDiagnostics (Basel, Switzerland)2024

Myocardial Work Indices Predict Hospitalization in Patients with Advanced Heart Failure.

Giulia Elena Mandoli, Federico Landra, Benedetta Chiantini, Lorenzo Bonadiman, Maria Concetta Pastore, Marta Focardi, Flavio D'Ascenzi, Matteo Lisi, Enrico Emilio Diviggiano, Luca Martini and 5 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

15 authors.

Giulia Elena MandoliDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-3184-3006
Federico LandraDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-2106-0884
Benedetta ChiantiniDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.
Lorenzo BonadimanDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.
Maria Concetta PastoreDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-7223-141X
Marta FocardiDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0879-8526
Flavio D'AscenziDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0947-6836
Matteo LisiDepartment of Cardiovascular Disease-AUSL Romagna, Division of Cardiology, Ospedale S. Maria Delle Croci, 48121 Ravenna, Italy.
Enrico Emilio DiviggianoDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-1920-2457
Luca MartiniDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-7596-2963
Sonia BernazzaliDepartment of Cardiac Surgery, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-1299-3380
Serafina ValenteDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.
Massimo MaccheriniDepartment of Cardiac Surgery, University of Siena, 53100 Siena, Italy.
Matteo CameliDepartment of Medical Biotechnologies, Division of Cardiology, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-3872-8964
Michael Y HeneinInstitute of Public Health and Clinical Medicine, Umeå University, 901 87 Umeå, Sweden.ORCID 0000-0002-6089-5614

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn increasing proportion of heart failure (HF) patients progress to the advanced stage (AdHF) with high event rates and limited treatment options. Echocardiography, particularly Speckle Tracking-derived myocardial work (MW), is useful for HF diagnosis and prognosis. We aimed to assess MW's feasibility in the prognostic stratification of AdHF.

methodsWe retrospectively screened patients with AdHF who accessed our hospital in 2018-2022. We excluded subjects with inadequate acoustic windows; unavailable brachial artery cuff pressure at the time of the echocardiography; atrial fibrillation; and mitral or aortic regurgitation. We measured standard parameters and left ventricular (LV) strain (LS) and MW. The population was followed up to determine the composite outcomes of all-cause mortality, left ventricular assist device implantation and heart transplantation (primary endpoint), as well as unplanned HF hospitalization (secondary endpoint).

resultsWe enrolled 138 patients, prevalently males (79.7%), with a median age of 58 years (IQR 50-62). AdHF etiology was predominantly non-ischemic (65.9%). Thirty-five patients developed a composite event during a median follow-up of 636 days (IQR 323-868). Diastolic function, pulmonary pressures, and LV GLS and LV MW indices were not associated with major events. Contrarily, for the secondary endpoint, the hazard ratio for each increase in global work index (GWI) by 50 mmHg% was 0.90 (

conclusionsGWI and GCW, with good feasibility, can help in the better characterization of patients with AdHF at higher risk of HF hospitalization and adverse events, identifying the need for closer follow-up or additional HF therapy.

Indexed as

end-stage heart failuremyocardial workprognosisspeckle tracking

Identifiers

PMID38893722
PMCPMC11172362

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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.