Evidence map›Paper›PMID 26685664›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2015

Left ventricular fluid kinetic energy time curves in heart failure from cardiovascular magnetic resonance 4D flow data.

Mikael Kanski, Per M Arvidsson, Johannes Töger, Rasmus Borgquist, Einar Heiberg, Marcus Carlsson, Håkan Arheden

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03854071 (Development of Novel Physiological CMR Methods in Health and Disease), which is not on this map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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.

NCT03854071 narecruitingnot on this mapstarted 2018, after this paper: background citation

Development of Novel Physiological CMR Methods in Health and Disease

TypeinterventionalSponsorSheffield Teaching Hospitals NHS Foundation TrustRan2018 to 2031Enrolled135ConditionsHeart Failure, Pulmonary Hypertension, Myocardial Infarction, Coronary Artery DiseaseArmsintravenous fluid challenge
3 · Its place in the literature

Who cites it

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 97 citations in OpenAlex.

  1. Pooled it
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  15. Deep learning based automated left ventricle segmentation and flow quantification in 4D flow cardiac MRI.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  16. Article
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  18. Effect of Aging on Intraventricular Kinetic Energy and Energy Dissipation.Journal of cardiovascular development and disease · 2023
    Review
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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

7 authors at 2 institutions in 1 country.

Mikael KanskiDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. mikael.kanski@med.lu.se.
Per M ArvidssonDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. per.arvidsson@med.lu.se.
Johannes TögerDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. johannes.toger@gmail.com.
Rasmus BorgquistDepartment of Cardiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. rasmus.borgquist@med.lu.se.
Einar HeibergDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. einar.heiberg@med.lu.se.
Marcus CarlssonDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. marcus.carlsson@med.lu.se.
Håkan ArhedenDepartment of Clinical Physiology, Clinical Sciences, Lund University, Lund University Hospital, Lund, Sweden. hakan.arheden@med.lu.se.
Lund University · SEStatistics Sweden · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasurement of intracardiac kinetic energy (KE) provides new insights into cardiac hemodynamics and may improve assessment and understanding of heart failure. We therefore aimed to investigate left ventricular (LV) KE time curves in patients with heart failure and in controls.

methodsPatients with heart failure (n = 29, NYHA class I-IV) and controls (n = 12) underwent cardiovascular magnetic resonance (CMR) including 4D flow. The vortex-ring boundary was computed using Lagrangian coherent structures. The LV endocardium and vortex-ring were manually delineated and KE was calculated as ½mv(2) of the blood within the whole LV and the vortex ring, respectively.

resultsThe systolic average KE was higher in patients compared to controls (2.2 ± 1.4 mJ vs 1.6 ± 0.6 mJ, p = 0.048), but lower when indexing to EDV (6.3 ± 2.2 μJ/ml vs 8.0 ± 2.1 μJ/ml, p = 0.025). No difference was seen in diastolic average KE (3.2 ± 2.3 mJ vs 2.0 ± 0.8 mJ, p = 0.13) even when indexing to EDV (9.0 ± 4.4 μJ/ml vs 10.2 ± 3.3 μJ/ml, p = 0.41). In patients, a smaller fraction of diastolic average KE was observed inside the vortex ring compared to controls (72 ± 6% vs 54 ± 9%, p < 0.0001). Three distinctive KE time curves were seen in patients which were markedly different from findings in controls, and with a moderate agreement between KE time curve patterns and degree of diastolic dysfunction (Cohen's kappa = 0.49), but unrelated to NYHA classification (p = 0.12), or 6-minute walk test (p = 0.72).

conclusionPatients with heart failure exhibit higher systolic average KE compared to controls, suggesting altered intracardiac blood flow. The different KE time curves seen in patients may represent a conceptually new approach for heart failure classification.

Indexed as

Coronary CirculationVentricular Function, LeftAdultAgedBlood Flow VelocityCase-Control StudiesDiastoleExercise TestFemaleHeart FailureHumansImage Interpretation, Computer-AssistedKineticsMagnetic Resonance Imaging, CineMaleMiddle Aged

Identifiers

PMID26685664
PMCPMC4685624
OpenAlexW2203559446

What OpenQuestion holds

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Registered trials

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.