Literature DB >> 9714092

Which arterial and cardiac parameters best predict left ventricular mass?

C H Chen1, C T Ting, S J Lin, T L Hsu, S J Ho, P Chou, M S Chang, F O'Connor, H Spurgeon, E Lakatta, F C Yin.   

Abstract

BACKGROUND: Many cardiovascular and noncardiovascular parameters are thought to be determinants of left ventricular mass (LVM). Complicated interactions necessitate the simultaneous measurement and consideration of each to determine their individual and collective impact on LVM. We undertook such a comprehensive study. METHODS AND
RESULTS: The influence of anthropometry, cardiac size and contractility, arterial structure and function, as well as indices of lifestyle, physical activity, and dietary salt intake on LVM (by two-dimensionally guided M-mode echocardiography) was analyzed in 1315 Chinese subjects who were either normotensive or had untreated hypertension. Effects of many cardiac and arterial factors were assessed. In univariate analysis, almost all measured noncardiovascular, cardiac, and arterial variables were significantly correlated with LVM. In multivariate linear regression analyses, when age, sex, body habitus, fasting serum C-peptide level, dietary salt, physical activity, and lifestyle were accounted for, the optimum multivariate linear regression main effects model had an adjusted model r2 of 0.740, with 98% of the model variance accounted for by the 5 independent determinants of LVM: stroke volume (49.6%), systolic blood pressure (30.7%), contractility (14.7%), body mass index (1.8%), and aortic root diameter (1.6%). Other proposed arterial indices were significant independent determinants of LVM only when blood pressure was removed from the model and, even then, these indices not only resulted in less powerful prediction but also accounted for only a very small percentage of the total variance of LVM.
CONCLUSIONS: In a large population, we (1) confirmed that age, body habitus, and some indexes of arterial structure and function are independent determinants of LVM; (2) found aortic diameter to be an independent structural determinant of LVM; (3) demonstrated that the effects of the derived measures of arterial function were small and provided no better predictive power than blood pressure alone; and (4) showed that when the best measures of cardiac and vascular load were included, the single most potent predictor was an index of left ventricular size.

Entities:  

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Year:  1998        PMID: 9714092     DOI: 10.1161/01.cir.98.5.422

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  27 in total

1.  Increased arterial wave reflection may predispose syncopal attacks.

Authors:  C H Chen; H H Hu; Y P Lin; C M Chern; T L Hsu; P Y Ding
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2.  Hemodynamic Determinants of the Short-Term Blood Pressure Variability: Differential Roles of Arterial Stiffness and Wave Reflection.

Authors:  Pai-Feng Hsu; Hao-Min Cheng; Shih-Hsien Sung; Shao-Yuan Chuang; Edward G Lakatta; Frank C P Yin; Pesus Chou; Chen-Huan Chen
Journal:  Am J Hypertens       Date:  2017-03-01       Impact factor: 2.689

3.  Aortic dilatation in children with systemic hypertension.

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Review 4.  Age-associated cardiovascular changes in health: impact on cardiovascular disease in older persons.

Authors:  Edward G Lakatta
Journal:  Heart Fail Rev       Date:  2002-01       Impact factor: 4.214

5.  Influence of Thoracic Aortic Inflammation and Calcifications on Arterial Stiffness and Cardiac Function in Older Subjects.

Authors:  L Joly; D Mandry; A Verger; C Labat; G Watfa; V Roux; G Karcher; P-Y Marie; A Benetos
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6.  Derivation and validation of diagnostic thresholds for central blood pressure measurements based on long-term cardiovascular risks.

Authors:  Hao-Min Cheng; Shao-Yuan Chuang; Shih-Hsien Sung; Wen-Chung Yu; Alan Pearson; Edward G Lakatta; Wen-Harn Pan; Chen-Huan Chen
Journal:  J Am Coll Cardiol       Date:  2013-07-10       Impact factor: 24.094

7.  Impact of age, sex, and indexation method on MR left ventricular reference values in the Framingham Heart Study offspring cohort.

Authors:  Susan B Yeon; Carol J Salton; Philimon Gona; Michael L Chuang; Susan J Blease; Yuchi Han; Connie W Tsao; Peter G Danias; Daniel Levy; Christopher J O'Donnell; Warren J Manning
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8.  Associations of serum uric acid levels with arterial wave reflections and central systolic blood pressure.

Authors:  Pai-Feng Hsu; Shao-Yuan Chuang; Hao-Min Cheng; Shih-Hsien Sung; Chih-Tai Ting; Edward G Lakatta; Frank C P Yin; Pesus Chou; Chen-Huan Chen
Journal:  Int J Cardiol       Date:  2013-02-27       Impact factor: 4.164

9.  Arterial stiffness in the young: assessment, determinants, and implications.

Authors:  Yiu-Fai Cheung
Journal:  Korean Circ J       Date:  2010-04-22       Impact factor: 3.243

10.  White coat hypertension is more risky than prehypertension: important role of arterial wave reflections.

Authors:  Shih-Hsien Sung; Hao-Min Cheng; Kang-Ling Wang; Wen-Chung Yu; Shao-Yuan Chuang; Chih-Tai Ting; Edward G Lakatta; Frank C P Yin; Pesus Chou; Chen-Huan Chen
Journal:  Hypertension       Date:  2013-04-22       Impact factor: 10.190

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