Evidence map›Paper›PMID 36893548›Full record

ArticleThe American journal of cardiology2023

Differences in Cardiac Mechanics and Exercise Physiology Among Heart Failure With Preserved Ejection Fraction Phenomapping Subgroups.

Debra D Dixon, Lauren Beussink-Nelson, Rahul Deo, Sanjiv J Shah

Abstract read
In one paragraph

Article in The American journal of cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Debra D DixonDivision of Cardiovascular Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Lauren Beussink-NelsonDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Rahul DeoDivision of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Sanjiv J ShahDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois. Electronic address: sanjiv.shah@northwestern.edu.

Funding

HeartShare DeCODE-HF: Data translation center to Combine Omics, Deep phenotyping, and Electronic health records for Heart Failure subtypes and treatment targetsU54HL160273 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Abel N. Kho, Yuan Luo · 2021 to 2026
$19.0M
Transition from Risk Factors to Early HF: Prevalence, Pathogenesis, and PhenomicsR01HL127028 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BERTONI, ALAIN GERALD, SHAH, SANJIV J · 2015 to 2018
$6.5M
Study of Cardiac Mechanics in Systemic HypertensionR01HL107577 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHAH, SANJIV J · 2011 to 2019
$4.1M
Machine learning for the automated identification and tracking of rare myocardial diseasesR01HL140731 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MACRAE, CALUM A., SHAH, SANJIV J · 2018 to 2021
$2.8M
Precision Medicine for Dilated Cardiomyopathy—Novel Assessment of Cardiac Mechanics via Speckle Tracking Echocardiography to Identify Early PhenotypesR01HL149423 · NHLBI · OHIO STATE UNIVERSITY · PI HERSHBERGER, RAY E., KINNAMON, DANIEL DAVIS · 2019 to 2022
$1.6M
NHLBI NIH HHS R01 HL107577NHLBI NIH HHS R01 HL127028NHLBI NIH HHS R01 HL140731NHLBI NIH HHS R01 HL149423NHLBI NIH HHS U54 HL160273
6 · The paper itself

Abstract

Unsupervised machine learning (phenomapping) has been used successfully to identify novel subgroups (phenogroups) of heart failure with preserved ejection fraction (HFpEF). However, further investigation of pathophysiological differences between HFpEF phenogroups is necessary to help determine potential treatment options. We performed speckle-tracking echocardiography and cardiopulmonary exercise testing (CPET) in 301 and 150 patients with HFpEF, respectively, as part of a prospective phenomapping study (median age 65 [25th to 75th percentile 56 to 73] years, 39% Black individuals, 65% female). Linear regression was used to compare strain and CPET parameters by phenogroup. All indicies of cardiac mechanics except for left ventricular global circumferential strain worsened in a stepwise fashion from phenogroups 1 to 3 after adjustment for demographic and clinical factors. After further adjustment for conventional echocardiographic parameters, phenogroup 3 had the worst left ventricular global longitudinal, right ventricular free wall, and left atrial booster and reservoir strain. On CPET, phenogroup 2 had the lowest exercise time and absolute peak oxygen consumption (VO

Indexed as

Heart FailureAgedEchocardiographyFemaleHeart VentriclesHumansMaleProspective StudiesStroke VolumeVentricular Function, Left

Identifiers

PMID36893548
PMCPMC10066831

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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.