Evidence map›Paper›PMID 38133621›Full record

ArticleAmerican journal of physiology. Heart and circulatory physiology2024

Comprehensive left atrial flow component analysis reveals abnormal flow patterns in paroxysmal atrial fibrillation.

Sophia Bäck, Jonas Lantz, Iulia Skoda, Lilian Henriksson, Anders Persson, Lars O Karlsson, Carl-Johan Carlhäll, Tino Ebbers

Open access · hybridAbstract read
In one paragraph

Article in American journal of physiology. Heart and circulatory physiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 7 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

8 authors at 1 institution in 1 country.

Sophia BäckUnit of Cardiovascular Sciences, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0002-1090-0112
Jonas LantzUnit of Cardiovascular Sciences, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0003-1942-7699
Iulia SkodaDepartment of Cardiology in Linköping, Linköping University, Linköping, Sweden.ORCID 0000-0002-9505-4313
Lilian HenrikssonCenter for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.
Anders PerssonCenter for Medical Image Science and Visualization, Linköping University, Linköping, Sweden.ORCID 0000-0002-9446-6981
Lars O KarlssonDepartment of Cardiology in Linköping, Linköping University, Linköping, Sweden.ORCID 0000-0003-4852-3065
Carl-Johan CarlhällUnit of Cardiovascular Sciences, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Tino EbbersUnit of Cardiovascular Sciences, Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Linköping University · SE

Funding

Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 20200220Hjärt-Lungfonden (Swedish Heart-Lung Foundation) 20210441Region Östergötland (Östergötland Region) 974839Vetenskapsrådet (VR) 2018-02779Vetenskapsrådet (VR) 2022-03931VINNOVA (Swedish Governmental Agency for Innovation Systems) 2019-02261
6 · The paper itself

Abstract

Left atrial (LA) blood flow plays an important role in diseases such as atrial fibrillation (AF) and atrial cardiomyopathy since alterations in the blood flow might lead to thrombus formation and stroke. Using traditional techniques, such as echocardiography, atrial flow velocities can be measured at the pulmonary veins and the mitral valve, but a comprehensive understanding of the three-dimensional atrial flow field is missing. Previously, ventricular flow has been analyzed using flow component analysis, revealing new insights into ventricular flow and function. Thus, the aim of this project was to develop a comprehensive flow component analysis method for the LA and explore its utility in 21 patients with paroxysmal atrial fibrillation compared with a control group of 8 participants. The flow field was derived from time-resolved CT acquired during sinus rhythm using computational fluid dynamics. Flow components were computed from particle tracking. We identified six atrial flow components: conduit, reservoir, delayed ejection, retained inflow, residual volume, and pulmonary vein backflow. It was shown that conduit flow, defined as blood entering and leaving the LA within the same diastolic phase, exists in most subjects. Although the volume of conduit and reservoir is similar in patients with paroxysmal AF in sinus rhythm and controls, the volume of the other components is increased in paroxysmal AF. Comprehensive quantification of LA flow using flow component analysis makes atrial blood flow quantifiable, thus facilitating investigation of mechanisms underlying atrial dysfunction and can increase understanding of atrial blood flow in disease progression and stroke risk.

Indexed as

Atrial FibrillationStrokeEchocardiographyHeart AtriaHemodynamicsHumansatrial fibrillationflow component analysishemodynamicsleft atrium

Identifiers

PMID38133621
PMCPMC11221802
OpenAlexW4390115382

What Socratic holds

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LicenceCC BY
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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 Socratic graph.