The predictive value of epicardial adipose tissue volume assessed by cardiac magnetic resonance for atrial fibrillation in patients with hypertrophic obstructive cardiomyopathy.
Adipose Tissue
/ diagnostic imaging
Adult
Atrial Fibrillation
/ diagnostic imaging
Atrial Function, Left
Cardiomyopathy, Hypertrophic
/ complications
Case-Control Studies
Electrocardiography
Female
Humans
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Middle Aged
Pericardium
/ diagnostic imaging
Predictive Value of Tests
Prognosis
Risk Assessment
Risk Factors
Stroke Volume
Ventricular Function, Left
Atrial fibrillation
Cardiac magnetic resonance
Epicardial adipose tissue volume index
Hypertrophic obstructive cardiomyopathy
Left atrial volume index
Journal
The international journal of cardiovascular imaging
ISSN: 1875-8312
Titre abrégé: Int J Cardiovasc Imaging
Pays: United States
ID NLM: 100969716
Informations de publication
Date de publication:
Apr 2021
Apr 2021
Historique:
received:
20
07
2020
accepted:
28
10
2020
pubmed:
5
1
2021
medline:
6
7
2021
entrez:
4
1
2021
Statut:
ppublish
Résumé
Atrial fibrillation (AF) is the most common arrhythmia and potentially increase the risk of embolic stroke and aggravate progressive heart failure in patients with hypertrophic cardiomyopathy (HCM). Recent studies demonstrated that epicardial adipose tissue (EAT) was closely associated with AF in general population. However, the relationship between EAT and AF in HCM patients remains unclear. A total of 93 consecutive patients with hypertrophic obstructive cardiomyopathy (HOCM) at Fuwai Hospital were enrolled in our study. There were 18 patients with AF and 75 patients without it. Cardiac magnetic resonance (CMR) imaging was performed in all participants. EAT volume (EATV) and left atrial volume (LAV) were determined by E-3D medical model software. HOCM patients with AF had significantly greater EATV index (EATVI, P < 0.001), LAV index (LAVI, P < 0.001) and left ventricular end-systole volume index (LVESVI, P = 0.039), and lower left ventricular ejection fraction (LVEF, P = 0.002). In multivariable logistic regression analysis, EATVI, LAVI, and LVEF remained independent determinants of AF occurrence (OR = 1.023, 95% CI, 1.003-1.043, P = 0.023, OR = 1.043, 95% CI, 1.012-1.075, P = 0.006, and OR = 0.887, 95% CI, 0.818-0.962, P = 0.004, respectively). Furthermore, receiver operating characteristic (ROC) curve analysis demonstrated that integration of EATVI, LAVI and LVEF provided better discriminatory performance for incident AF in HOCM patients with a high sensitivity of 94.4% and a specificity of 69.3% (AUC = 0.864, 95% CI, 0.771-0.958, P < 0.001). EATVI is an independent predictor of the presence of AF, and integration of EATVI, LVEF and LAVI determined by CMR provide greater discriminatory performance for identifying AF in HOCM patients.
Identifiants
pubmed: 33392874
doi: 10.1007/s10554-020-02092-0
pii: 10.1007/s10554-020-02092-0
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
1383-1393Subventions
Organisme : National Key Research and Development Program of China
ID : NO. 2018YFB1107102
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