Evidence map›Paper›PMID 36997835›Full record

ArticleThe international journal of cardiovascular imaging2023

Mechanical dispersion is a superior echocardiographic feature to predict exercise capacity in preclinical and overt heart failure with preserved ejection fraction.

Renato A Hortegal, Carlos Hossri, Luiz Giolo, Renato Cancellier, Carlos Gun, Jorge Assef, Henrique T Moriya, Kleber G Franchini, Fausto Feres, Romeu Meneghelo

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Article in The international journal of cardiovascular imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
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, 8 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Renato A HortegalInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil. renato.hortegal@dantepazzanese.org.br.ORCID http://orcid.org/0000-0003-0031-335X
Carlos HossriInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Luiz GioloBrazilian National Laboratory for Biosciences, Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, São Paulo, Brazil.
Renato CancellierInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Carlos GunInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Jorge AssefInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Henrique T MoriyaInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Kleber G FranchiniInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Fausto FeresInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Romeu MenegheloInstituto Dante Pazzanese de Cardiologia, Av. Dr. Dante Pazzanese, 500, São Paulo, SP, Brazil.
Instituto Dante Pazzanese de Cardiologia · BRBrazilian Center for Research in Energy and Materials · BRUniversidade de São Paulo · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 307498/2019-0, 2019FAPESP 2017/50342-6, 2017
6 · The paper itself

Abstract

backgroundHeart Failure with Preserved Ejection Fraction (HFpEF) is a syndrome characterized by different degrees of exercise intolerance, which leads to poor quality of life and prognosis. Recently, the European score (HFA-PEFF) was proposed to standardize the diagnosis of HFpEF. Even though Global Longitudinal Strain (GLS) is a component of HFA-PEFF, the role of other strain parameters, such as Mechanical Dispersion (MD), has yet to be studied. In this study, we aimed to compare MD and other features from the HFA-PEFF according to their association with exercise capacity in an outpatient population of subjects at risk or suspected HFpEF.

methodsThis is a single-center cross-sectional study performed in an outpatient population of 144 subjects with a median age of 57 years, 58% females, referred to the Echocardiography and Cardiopulmonary Exercise Test to investigate HFpEF.

resultsMD had a higher correlation to Peak VO2 (r=-0.43) when compared to GLS (r=-0.26), MD presented a significant correlation to Ventilatory Anaerobic Threshold (VAT) (r=-0.20; p = 0.04), while GLS showed no correlation (r=-0.14; p = 0.15). Neither MD nor GLS showed a correlation with the time to recover VO2 after exercise (T1/2). In Receiver Operator Characteristic (ROC) analysis, MD presented superior performance to GLS to predict Peak VO2 (AUC: 0.77 vs. 0.62), VAT (AUC: 0.61 vs. 0.57), and T1/2 (AUC: 0.64 vs. 0.57). Adding MD to HFA-PEFF improved the model performance (AUC from 0.77 to 0.81).

conclusionMD presented a higher association with Peak VO2 when compared to GLS and most features from the HFA-PEFF. Adding MD to the HFA-PEFF improved the model performance.

Indexed as

Heart FailureCross-Sectional StudiesEchocardiographyExercise ToleranceFemaleHumansMaleMiddle AgedPredictive Value of TestsQuality of LifeStroke VolumeVentricular Function, LeftCardiac functionCardiopulmonary Exercise TestHeart failure with preserved ejection fractionSpeckle Tracking Echocardiography

Identifiers

PMID36997835
OpenAlexW4362458359

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Read underepoch 390

Registered trials

None linked

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.