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Cardiac Mechanics and the Risk of Atrial Fibrillation in a Community-Based Cohort of Older Adults.
Inciardi, Riccardo M; Wang, Wendy; Alonso, Alvaro; Soliman, Elsayed Z; Selvaraj, Senthil; Gonçalves, Alexandra; Zhang, Michael J; Chandra, Alvin; Prasad, Narayana G; Skali, Hicham; Shah, Amil M; Solomon, Scott D; Chen, Lin Yee.
Affiliation
  • Inciardi RM; Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Wang W; Division of Cardiology. Department of Medical and Surgical Specialties, Radiological Sciences and Public Health. University of Brescia. Italy.
  • Alonso A; Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN, USA.
  • Soliman EZ; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
  • Selvaraj S; Section on Cardiovascular Medicine, Department of Medicine, Wake Forest School of Medicine, Winston-Salem, NC.
  • Gonçalves A; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC.
  • Zhang MJ; Philips Healthcare, 3000 Minuteman Road, Andover, MA, USA.
  • Chandra A; University of Porto Medical School, Porto, Portugal.
  • Prasad NG; Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN, USA.
  • Skali H; Department of Internal Medicine, Division of Cardiology, UT Southwestern Medical Center, Dallas, TX, United States.
  • Shah AM; Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Solomon SD; Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Chen LY; Cardiovascular Division, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Article in En | MEDLINE | ID: mdl-38959330
ABSTRACT

BACKGROUND:

Assessment of cardiac structure and function improves risk prediction of new-onset atrial fibrillation (AF) in different populations. We aimed to comprehensively compare standard and newer measures of cardiac structure and function in improving prediction of AF in a cohort of older adults without history of AF and stroke.

METHODS:

We included 5050 participants without prevalent AF and stroke (mean age 75 ± 5 years, 59% women and 22% Black) from the Atherosclerosis Risk in Communities (ARIC) study who underwent complete 2-dimensional echocardiography, including speckle-tracking analysis of the left ventricle (LV) and left atrium (LA). We assessed the association of cardiac measures with incident AF (including atrial flutter) and quantified the extent to which these measures improved model discrimination and risk classification of AF compared with the CHARGE-AF score.

RESULTS:

Over a median follow-up time of 7 years, 676 participants developed AF (incidence rate, 2.13 per 100 person-years). LV mass index and wall thickness, E/e' and measures of LA structure and function, but not LV systolic function, were associated with incident AF, after accounting for confounders. Above all, LA reservoir strain, contraction strain, and LA minimal volume index (C-statistics [95%Confidence interval] 0.73 [0.70,0.75], 0.72 [0.70,0.75] and 0.72 [0.69,0.75], respectively) significantly improved the risk discrimination of the CHARGE-AF score (baseline C-statistic 0.68 [0.65,0.70]) and achieved the highest category-based net reclassification improvement (29%, 24% and 20%, respectively).

CONCLUSIONS:

In a large cohort of older adults without prevalent AF and stroke, measures of LA function improved the prediction of AF more than other conventional cardiac measures.
Key words

Full text: 1 Database: MEDLINE Language: En Journal: Eur Heart J Cardiovasc Imaging Year: 2024 Type: Article Affiliation country: United States

Full text: 1 Database: MEDLINE Language: En Journal: Eur Heart J Cardiovasc Imaging Year: 2024 Type: Article Affiliation country: United States