Influencing factors and predictive model for left atrial appendage emptying velocity in nonvalvular AF patients

Age, HF, type of AF, LAD, and LVEF are independent predictors of reduced LAAEV. The predictive model (LAAEV = 96.567-15.940 × AFtype-1.309 × LAD-0.18 × Age + 37.069 × LVEF) demonstrates good predictive value, aiding in the initial assessment and management of nonvalvular AF patients.

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Publication Details

Journal
Frontiers in Cardiovascular Medicine
Published
2024-09-19
DOI
https://doi.org/10.3389/fcvm.2024.1468379
Citations
3
Primary Topic
Atrial Fibrillation Management and Outcomes
Type
article
Field-Weighted Citation Impact
1.21
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article

Influencing factors and predictive model for left atrial appendage emptying velocity in nonvalvular AF patients

Lianxia Wang, Yanlei Zhao, Lei Yin, Weibin He et al.
3 citations
Frontiers in Cardiovascular Medicine
Atrial Fibrillation Management and Outcomes
1.21
article

Influencing factors and predictive model for left atrial appendage emptying velocity in nonvalvular AF patients

Lianxia Wang, Yanlei Zhao, Lei Yin, Weibin He, Yan Zhang, Ling You, Qian Liu
article en
3 citations

Abstract

Age, HF, type of AF, LAD, and LVEF are independent predictors of reduced LAAEV. The predictive model (LAAEV = 96.567-15.940 × AFtype-1.309 × LAD-0.18 × Age + 37.069 × LVEF) demonstrates good predictive value, aiding in the initial assessment and management of nonvalvular AF patients.

Frontiers in Cardiovascular MedicineVol. 11
Hebei Medical University (CN), Second Hospital of Hebei Medical University (CN)
Good health and well-being
Openalex Percentile: Top 18%
Atrial Fibrillation Management and Outcomes
1.21
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