Association Between Heart Failure With Preserved Left Ventricular Ejection Fraction and Impaired Left Atrial Phasic Function in Hypertrophic Cardiomyopathy: Evaluation by Cardiac MRI Feature Tracking

Background The majority of heart failure (HF) in hypertrophic cardiomyopathy (HCM) manifests as a phenotype with preserved left ventricular (LV) ejection fraction; however, the exact contribution of left atrial (LA) phasic function to HF with preserved ejection fraction (HFpEF) in HCM remains unreso...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of magnetic resonance imaging 2022-07, Vol.56 (1), p.248-259
Hauptverfasser: Shi, Rui, Shi, Ke, Huang, Shan, Li, Xiang, Xia, Chun‐Chao, Li, Yuan, He, Sen, Li, Zhen‐Lin, He, Yong, Guo, Ying‐Kun, Yang, Zhi‐Gang
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Background The majority of heart failure (HF) in hypertrophic cardiomyopathy (HCM) manifests as a phenotype with preserved left ventricular (LV) ejection fraction; however, the exact contribution of left atrial (LA) phasic function to HF with preserved ejection fraction (HFpEF) in HCM remains unresolved. Purpose To define the association between LA function and HFpEF in HCM patients using cardiac magnetic resonance imaging (MRI) feature tracking. Study Type Retrospective. Population One hundred and fifty‐four HCM patients (HFpEF vs. non‐HF: 55 [34 females] vs. 99 [43 females]). Field Strength/Sequence 3.0 T/balanced steady‐state free precession. Assessment LA reservoir function (reservoir strain [εs], total ejection fraction [EF]), conduit function (conduit strain [εe], passive EF), booster‐pump function (booster strain [εa] and active EF), LA volume index, and LV global longitudinal strain (LV GLS) were evaluated in HCM patients. Statistical Tests Chi‐square test, Student's t‐test, Mann–Whitney U test, multivariate linear regression, logistic regression, and net reclassification analysis were used. Two‐sided P 
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.28000