Cardiorenal medicine · 2018
Epicardial Fat Thickness in Patients with Autosomal Dominant Polycystic Kidney Disease.
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Concistrè Antonio, Petramala Luigi, Scoccia Gianmarco, Sciomer Susanna, Bisogni Valeria, Saracino Vincenza, Iannucci Gino, Lai Silvia, Mastroluca Daniela, Iacobellis Gianluca, Letizia Claudio
Аннотация
INTRODUCTION: Autosomal dominant polycystic kidney disease (ADPKD) is associated with early organ damage such as left ventricular hypertrophy and higher cardiovascular risk when compared to essential hypertension (EH). Epicardial adipose tissue (EAT) is a new cardiovascular risk factor, but its role and correlation with left ventricular mass (LVM) in ADPKD is unknown.
AIMS: we sought to investigate whether EAT is higher and related to LVM indexed by body surface area (LVMi) in hypertensive patients with ADPKD compared to those with EH.
METHODS: We performed ultrasound measurement of EAT thickness, LVM, LVMi, and left atrium size (left atrial volume indexed for body surface, LAVI) in 41 consecutive hypertensive patients with ADPKD, compared to 89 EH patients.
RESULTS: EAT was significantly higher in the ADPKD group in comparison to EH subjects (9.2 ± 2.9 mm vs. 7.8 ± 1.6 mm, p < 0.001), and significantly correlated with LVM, LVMi, and LAVI in the ADPKD group (r = 0.56, p = 0.005; r = 0.424, p = 0.022; and r = 0.48, p = < 0.001, respectively). Comparing EAT against body mass index, systolic blood pressure, and age, we found that EAT was the strongest predictor of LVMi (β = 0.42, p = 0.007).
CONCLUSION: Our data showed that EAT was higher in ADPKD patients than in EH subjects and independently correlated with LVMi. EAT measurement can be a useful marker for the cardiovascular risk stratification in ADPKD.
AIMS: we sought to investigate whether EAT is higher and related to LVM indexed by body surface area (LVMi) in hypertensive patients with ADPKD compared to those with EH.
METHODS: We performed ultrasound measurement of EAT thickness, LVM, LVMi, and left atrium size (left atrial volume indexed for body surface, LAVI) in 41 consecutive hypertensive patients with ADPKD, compared to 89 EH patients.
RESULTS: EAT was significantly higher in the ADPKD group in comparison to EH subjects (9.2 ± 2.9 mm vs. 7.8 ± 1.6 mm, p < 0.001), and significantly correlated with LVM, LVMi, and LAVI in the ADPKD group (r = 0.56, p = 0.005; r = 0.424, p = 0.022; and r = 0.48, p = < 0.001, respectively). Comparing EAT against body mass index, systolic blood pressure, and age, we found that EAT was the strongest predictor of LVMi (β = 0.42, p = 0.007).
CONCLUSION: Our data showed that EAT was higher in ADPKD patients than in EH subjects and independently correlated with LVMi. EAT measurement can be a useful marker for the cardiovascular risk stratification in ADPKD.