Literature DB >> 32125356

Left atrial volume and function assessed by cardiac magnetic resonance imaging are markers of subclinical atrial fibrillation as detected by continuous monitoring.

Litten Bertelsen1, Søren Zöga Diederichsen1, Ketil Jørgen Haugan2, Axel Brandes3,4, Claus Graff5, Derk Krieger6,7, Christian Kronborg8, Lars Køber1,9, Søren Højberg10, Niels Vejlstrup1, Jesper Hastrup Svendsen1,9,11.   

Abstract

AIMS: We aimed to investigate whether left atrial (LA) markers from cardiovascular magnetic resonance (CMR) were able to predict atrial fibrillation (AF) in elderly patients with risk factors for stroke. METHODS AND
RESULTS: At baseline, 203 participants with stroke risk factors but without history of AF underwent advanced CMR and received an implantable loop recorder. During a median of 40 (37-42) months of continuous monitoring, incident AF was detected in 79 patients (39%). With regards to CMR markers, a steep increase in incidence rate of AF was seen with LA maximum volume (LAmax) above 55 mL/m2, LA minimum volume (LAmin) above 30 mL/m2, LA total emptying fraction (LA TEF) below 45%, LA active emptying fraction (LA AEF) below 37%, LA strain S below 25%, LA strain A below 17%, and LA strain rate A above -1.7 s-1. After multivariate adjustment, the above-mentioned CMR markers remained associated with AF incidence: hazard ratio (95% confidence interval) 1.25 (1.06-1.48) and 1.51 (1.22-1.87) per 10 mL/m2 increase of LAmax and LAmin, respectively, 1.49 (1.26-1.76) and 1.46 CI (1.25-1.71) per 5% decrease in LA TEF and LA AEF, respectively, 1.23 (1.05-1.44) and 1.56 (1.18-2.06) per 5% decrease in LA strain S and A, respectively, and 2.06 (1.31-3.23) per s-1 increase in LA strain rate A. In prediction analyses, LA functional indices increased area under the receiver operating characteristic curve significantly.
CONCLUSION: The risk of AF, including asymptomatic AF, increases significantly with increasing LA volumes and worsening LA function. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author(s) 2020. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Cardiovascular magnetic resonance imaging; Continuous monitoring; Left atrium; Screening; Strain

Mesh:

Year:  2020        PMID: 32125356     DOI: 10.1093/europace/euaa035

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  11 in total

1.  Accuracy, analysis time, and reproducibility of dedicated 4D echocardiographic left atrial volume quantification software.

Authors:  Jesper Hastrup Svendsen; Tor Biering-Sørensen; Flemming Javier Olsen; Litten Bertelsen; Niels Vejlstrup; Caroline Løkke Bjerregaard; Søren Zöga Diederichsen; Peter Godsk Jørgensen; Magnus T Jensen; Anders Dahl; Nino Emmanuel Landler; Claus Graff; Axel Brandes; Derk Krieger; Ketil Haugan; Lars Køber; Søren Højberg
Journal:  Int J Cardiovasc Imaging       Date:  2022-01-03       Impact factor: 2.357

2.  Left atrial evaluation by cardiovascular magnetic resonance: sensitive and unique biomarkers.

Authors:  Dana C Peters; Jérôme Lamy; Albert J Sinusas; Lauren A Baldassarre
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2021-12-18       Impact factor: 6.875

Review 3.  Genetics of atrial fibrillation-an update of recent findings.

Authors:  Aarthi Manoharan; Ravikumar Sambandam; Vishnu Bhat Ballambattu
Journal:  Mol Biol Rep       Date:  2022-05-19       Impact factor: 2.742

4.  Potential role of conventional and speckle-tracking echocardiography in the screening of structural and functional cardiac abnormalities in elderly individuals: Baseline echocardiographic findings from the LOOP study.

Authors:  Flemming Javier Olsen; Søren Zöga Diederichsen; Peter Godsk Jørgensen; Magnus T Jensen; Anders Dahl; Nino Emmanuel Landler; Claus Graff; Axel Brandes; Derk Krieger; Ketil Haugan; Lars Køber; Søren Højberg; Jesper Hastrup Svendsen; Tor Biering-Sørensen
Journal:  PLoS One       Date:  2022-06-03       Impact factor: 3.752

5.  Assessment of diastolic dysfunction: comparison of different cardiovascular magnetic resonance techniques.

Authors:  Josephine Kermer; Julius Traber; Wolfgang Utz; Pierre Hennig; Marius Menza; Bernd Jung; Andreas Greiser; Philipp Barckow; Florian von Knobelsdorff-Brenkenhoff; Agnieszka Töpper; Edyta Blaszczyk; Jeanette Schulz-Menger
Journal:  ESC Heart Fail       Date:  2020-07-20

6.  Left atrium phasic impairments in paroxysmal atrial fibrillation patients assessed by cardiovascular magnetic resonance feature tracking.

Authors:  Mary Luz Mojica-Pisciotti; Roman Panovský; Lucia Masárová; Martin Pešl; Zdeněk Stárek; Tomáš Holeček; Věra Feitová; Lukáš Opatřil; Katarína Doležalová; Vladimír Kincl
Journal:  Sci Rep       Date:  2022-05-09       Impact factor: 4.379

7.  Left atrial structure and function are associated with cardiovascular outcomes independent of left ventricular measures: a UK Biobank CMR study.

Authors:  Zahra Raisi-Estabragh; Celeste McCracken; Dorina Condurache; Nay Aung; Jose D Vargas; Hafiz Naderi; Patricia B Munroe; Stefan Neubauer; Nicholas C Harvey; Steffen E Petersen
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2022-08-22       Impact factor: 9.130

8.  Hub Genes Identification, Small Molecule Compounds Prediction for Atrial Fibrillation and Diagnostic Model Construction Based on XGBoost Algorithm.

Authors:  Lingzhi Yang; Yunwei Chen; Wei Huang
Journal:  Front Cardiovasc Med       Date:  2022-07-14

9.  Automated left atrial time-resolved segmentation in MRI long-axis cine images using active contours.

Authors:  Ricardo A Gonzales; Felicia Seemann; Jérôme Lamy; Per M Arvidsson; Einar Heiberg; Victor Murray; Dana C Peters
Journal:  BMC Med Imaging       Date:  2021-06-19       Impact factor: 1.930

10.  Genome-wide association study identifies 18 novel loci associated with left atrial volume and function.

Authors:  Gustav Ahlberg; Laura Andreasen; Jonas Ghouse; Litten Bertelsen; Henning Bundgaard; Stig Haunsø; Jesper H Svendsen; Morten S Olesen
Journal:  Eur Heart J       Date:  2021-11-21       Impact factor: 29.983

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