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Mary J. Roman

Researcher at Cornell University

Publications -  371
Citations -  51574

Mary J. Roman is an academic researcher from Cornell University. The author has contributed to research in topics: Blood pressure & Population. The author has an hindex of 100, co-authored 365 publications receiving 48687 citations. Previous affiliations of Mary J. Roman include University of Maryland, Baltimore & NewYork–Presbyterian Hospital.

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Left ventricular mass as a measure of preclinical hypertensive disease.

TL;DR: Preliminary findings of close relations between LV mass and arterial disease and between the change in LV mass during antihypertensive treatment and subsequent events contribute to explaining the strong predictive value of LV mass.
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Attention deficit disorder and the mediating effect of age on academic and behavioral variables.

TL;DR: Results suggest that older ADD children are more likely than younger ADD children to experience academic and socioemotional difficulties.
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966-41 Impact of Hypertension on Aortic Root Size and Prevalence of Aortic Regurgitation

TL;DR: In this paper, the authors measured diameters of the aortic annulus, sinuses of Valsalva, supra-aortic ridge and proximal ascending aorta in 110 normotensive (NL) and 110 hypertensive (HTN) subjects and compared results to rest and ambulatory blood pressures (BP) and measures of body size.
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Mitral valve dimensions and motion in Marfan patients with and without mitral valve prolapse. Comparison to primary mitral valve prolapse and normal subjects.

TL;DR: It is concluded that leaflet billowing occurs more uniformly in Marfan patients with MVP than in primary MVP, which may be due to either valve enlargement with distinctively abnormal chordal architecture or abnormal mitral anular distensibility.
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ECG identification of left ventricular hypertrophy. Relationship of test performance to body habitus

TL;DR: Accuracy of the Framingham-adjusted Cornell voltage and Sokolow-Lyon voltage appears less dependent on BMI, and the time-voltage area of the QRS minimizes the effects of obesity on the accuracy of the ECG for LVH.