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1.
J Clin Med ; 12(13)2023 Jun 22.
Article in English | MEDLINE | ID: mdl-37445246

ABSTRACT

We aimed to evaluate the extent to which different left ventricular mass parameters are associated with left ventricular function in chronic kidney disease (CKD) patients. We compared the associations between traditionally determined left ventricular mass indices (LVMIs) and hemodynamic (predicted LVMIs) and non-hemodynamic remodeling parameters with left ventricular function in patients with CKD; non-hemodynamic remodeling was represented by inappropriate left ventricular mass and inappropriate excess LVMIs (traditionally determined LVMIs-predicted LVMIs). Non-hemodynamic left ventricular remodeling parameters were strongly associated with impaired left ventricular systolic function (p < 0.001), whereas hemodynamic left ventricular remodeling was also related strongly (p < 0.001) but directly to left ventricular systolic function. Independent of one another, hemodynamic and non-hemodynamic left ventricular remodeling had associations in opposite directions to left ventricular systolic function and was associated directly with traditionally determined left ventricular mas indices (p < 0.001 for all relationships). Non-hemodynamic cardiac remodeling parameters discriminated more effectively than traditionally determined LVMIs between patients with and without reduced ejection fraction (p < 0.04 for comparison). Left ventricular mass parameters were unrelated to impaired diastolic function in patients with CKD. Traditionally determined LVMIs are less strongly associated with impaired systolic function than non-hemodynamic remodeling parameters (p < 0.04-0.01 for comparisons) because they represent both adaptive or compensatory and non-hemodynamic cardiac remodeling.

2.
Hypertens Res ; 37(11): 1021-7, 2014 Nov.
Article in English | MEDLINE | ID: mdl-25007765

ABSTRACT

Although indices of aortic augmentation derived from radial applanation tonometry are independently associated with adverse cardiovascular effects, whether these relationships are influenced by gender is uncertain. We compared the brachial blood pressure-independent contribution of augmentation index (AIx) to variations in left ventricular mass index (LVMI) in a community sample of 808 participants, 283 of whom were men. Aortic haemodynamics were determined using radial applanation tonometry and SphygmoCor software and LVMI from echocardiography. In men, both AIx derived from aortic augmentation pressure/central aortic pulse pressure (AP/PPc; partial r = 0.17, ß-coefficient ± s.e.m. = 0.55 ± 0.20, P < 0.01) and AIx derived from the second peak/first peak (P2/P1) of the aortic pulse wave (partial r = 0.21, ß-coefficient ± s.e.m. = 0.42 ± 0.12, P<0.0005) were associated with LVM indexed to body surface area (LVMI-BSA). In contrast, in women, neither AIx derived from AP/PPc (partial r = -0.08, ß-coefficient ± s.e.m.=-0.20 ± 0.11, P = 0.08) nor AIx derived from P2/P1 (partial r = -0.06, ß-coefficient ± s.e.m. = -0.07 ± 0.05, P = 0.17) were associated with LVMI-BSA. Both the strength of the correlations (P<0.001 and P<0.0005 with z-statistics) and the slope of the AIx-LVMI relationships (P=0.001 and P<0.0005) were greater in men as compared with women. The lack of relationship between AIx and LVMI was noted in both premenopausal (n=285; AP/PPc vs. LVMI-BSA, partial r = 0.01, P = 0.95, P2/P1 vs. LVMI-BSA, partial r = 0.02, P = 0.77), and postmenopausal (n = 240; AP/PPc vs. LVMI-BSA, partial r = -0.06, P = 0.37, P2/P1 vs. LVMI-BSA, partial r = -0.03, P = 0.64) women. Similar differences were noted in the relationships between AIx and LVM indexed to height(2.7) in men and women. In conclusion, radial applanation tonometry-derived AIx may account for less of the variation in end-organ changes in women as compared with men.


Subject(s)
Aorta/physiology , Black People/statistics & numerical data , Heart Ventricles , Hypertrophy, Left Ventricular/physiopathology , Vascular Stiffness/physiology , Ventricular Function, Left/physiology , Adult , Aged , Blood Pressure/physiology , Brachial Artery/physiology , Electrocardiography , Female , Humans , Male , Middle Aged , Pulse Wave Analysis , Sex Characteristics , Software
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