Literature DB >> 35191736

Change in Left Atrioventricular Coupling Index to Predict Incident Atrial Fibrillation: The Multi-Ethnic Study of Atherosclerosis (MESA).

Théo Pezel1, Bharath Ambale-Venkatesh1, Thiago Quinaglia1, Susan R Heckbert1, Yoko Kato1, Henrique Doria de Vasconcellos1, Colin O Wu1, Wendy S Post1, Patrick Henry1, David A Bluemke1, João A C Lima1.   

Abstract

Background Left atrial (LA) and left ventricular (LV) structural and functional parameters have independent prognostic values as predictors of atrial fibrillation (AF). Purpose To investigate the prognostic value of a left atrioventricular coupling index (LACI) and average annualized change in LACI (hereafter, ΔLACI) measured by cardiac MRI to predict incident AF in a population-based sample from the Multi-Ethnic Study of Atherosclerosis (MESA). Materials and Methods In a secondary analysis of the prospective MESA, 1911 study participants without clinically recognized AF and cardiovascular disease at baseline had LACI assessed with cardiac MRI at baseline (examination 1, 2000-2002) and 10 years later (examination 5, 2010-2012). LACI was defined as the ratio of LA to LV end-diastolic volumes. Univariable and multivariable Cox proportional hazard models were used to evaluate the associations of LACI and average ΔLACI with incident AF. Results Among the 1911 participants (mean age, 59 years ± 9 [standard deviation]; 907 men), 87 incident AF events occurred over 3.9 years ± 0.9 after the second imaging (examination 5). After adjustment for traditional risk factors, greater LACI and ΔLACI were independently associated with AF (hazard ratio, 1.69 [95% CI: 1.46, 1.96] and 1.71 [95% CI: 1.50, 1.94], respectively; both P < .001). Adjusted models for LACI and ΔLACI showed improvement in model discrimination compared with currently used AF risk score (Cohort for Heart and Aging Research in Genomic Epidemiology-Atrial Fibrillation, or CHARGE-AF, score) model (area under receiver operating characteristic curve [AUC], 0.78 vs 0.74; and AUC, 0.80 vs 0.74, respectively; both P < .001); and to the final model including individual LA or LV parameters for predicting AF incidence (AUC, 0.78 vs 0.76; and AUC, 0.80 vs 0.78, respectively; both P < .001). Conclusion Atrioventricular coupling (left atrioventricular coupling index [LACI]) and coupling change (annual change in LACI) were strong predictors for atrial fibrillation (AF) in a multiethnic population. Both had incremental prognostic value for predicting AF over traditional risk factors, and superior discrimination compared with the Cohort for Heart and Aging Research in Genomic Epidemiology-Atrial Fibrillation, or CHARGE-AF, score and to individual left atrial or left ventricular parameters. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Leiner in this issue.

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Year:  2022        PMID: 35191736      PMCID: PMC9081516          DOI: 10.1148/radiol.210315

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  35 in total

1.  A regression model for longitudinal change in the presence of measurement error.

Authors:  N David Yanez; Richard A Kronmal; Lynn R Shemanski; Bruce M Psaty
Journal:  Ann Epidemiol       Date:  2002-01       Impact factor: 3.797

2.  Ratio of left atrial to left ventricular size: an anatomical marker of the diastolic left ventricular pressure-volume relationship.

Authors:  Daniel M Spevack; Liran Blum; Divya Malhotra; Reza Nazari; Robert J Ostfeld; Sanjay Doddamani; Ricardo Bello; Hillel W Cohen; Edmund H Sonnenblick
Journal:  Echocardiography       Date:  2008-04       Impact factor: 1.724

Review 3.  Atrial remodeling and atrial fibrillation: mechanisms and implications.

Authors:  Stanley Nattel; Brett Burstein; Dobromir Dobrev
Journal:  Circ Arrhythm Electrophysiol       Date:  2008-04

4.  À LA mode atrioventricular mechanical coupling.

Authors:  Partho P Sengupta; Jagat Narula
Journal:  JACC Cardiovasc Imaging       Date:  2014-01

5.  Left ventricular diastolic dysfunction as a predictor of the first diagnosed nonvalvular atrial fibrillation in 840 elderly men and women.

Authors:  Teresa S M Tsang; Bernard J Gersh; Christopher P Appleton; A Jamil Tajik; Marion E Barnes; Kent R Bailey; Jae K Oh; Cynthia Leibson; Samantha C Montgomery; James B Seward
Journal:  J Am Coll Cardiol       Date:  2002-11-06       Impact factor: 24.094

6.  Left Atrial Volumetric/Mechanical Coupling Index: A Novel Predictor of Outcome in Heart Failure With Reduced Ejection Fraction.

Authors:  Giovanni Benfari; Benjamin Essayagh; Stefano Nistri; Joseph Maalouf; Andrea Rossi; Prabin Thapa; Hector I Michelena; Maurice Enriquez-Sarano
Journal:  Circ Cardiovasc Imaging       Date:  2021-01-19       Impact factor: 7.792

7.  Left Atrial Remodeling and Atrioventricular Coupling in a Canine Model of Early Heart Failure With Preserved Ejection Fraction.

Authors:  Rosita Zakeri; Gilles Moulay; Qiang Chai; Ozgur Ogut; Saad Hussain; Hiroyuki Takahama; Tong Lu; Xiao-Li Wang; Wolfgang A Linke; Hon-Chi Lee; Margaret M Redfield
Journal:  Circ Heart Fail       Date:  2016-10-10       Impact factor: 8.790

8.  Left atrial reservoir function as a potent marker for first atrial fibrillation or flutter in persons > or = 65 years of age.

Authors:  Walter P Abhayaratna; Kaniz Fatema; Marion E Barnes; James B Seward; Bernard J Gersh; Kent R Bailey; Grace Casaclang-Verzosa; Teresa S M Tsang
Journal:  Am J Cardiol       Date:  2008-04-18       Impact factor: 2.778

Review 9.  Lifestyle and Risk Factor Modification for Reduction of Atrial Fibrillation: A Scientific Statement From the American Heart Association.

Authors:  Mina K Chung; Lee L Eckhardt; Lin Y Chen; Haitham M Ahmed; Rakesh Gopinathannair; José A Joglar; Peter A Noseworthy; Quinn R Pack; Prashanthan Sanders; Kevin M Trulock
Journal:  Circulation       Date:  2020-03-09       Impact factor: 29.690

10.  Left atrial structure and functional quantitation using cardiovascular magnetic resonance and multimodality tissue tracking: validation and reproducibility assessment.

Authors:  Mytra Zareian; Luisa Ciuffo; Mohammadali Habibi; Anders Opdahl; Elzbieta H Chamera; Colin O Wu; David A Bluemke; João A C Lima; Bharath Ambale Venkatesh
Journal:  J Cardiovasc Magn Reson       Date:  2015-07-01       Impact factor: 5.364

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  1 in total

1.  Machine learning prediction of atrial fibrillation in cardiovascular patients using cardiac magnetic resonance and electronic health information.

Authors:  Steven Dykstra; Alessandro Satriano; Aidan K Cornhill; Lucy Y Lei; Dina Labib; Yoko Mikami; Jacqueline Flewitt; Sandra Rivest; Rosa Sandonato; Patricia Feuchter; Andrew G Howarth; Carmen P Lydell; Nowell M Fine; Derek V Exner; Carlos A Morillo; Stephen B Wilton; Marina L Gavrilova; James A White
Journal:  Front Cardiovasc Med       Date:  2022-09-28
  1 in total

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