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Piyush M Srivastava

Researcher at University of Melbourne

Publications -  69
Citations -  1478

Piyush M Srivastava is an academic researcher from University of Melbourne. The author has contributed to research in topics: Heart failure & Diabetes mellitus. The author has an hindex of 22, co-authored 63 publications receiving 1254 citations. Previous affiliations of Piyush M Srivastava include Austin Hospital & St. Vincent's Health System.

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Global longitudinal strain is a strong independent predictor of all-cause mortality in patients with aortic stenosis

TL;DR: In this article, the capacity of global longitudinal strain (GLS) in patients with aortic stenosis (AS) to detect the subclinical left ventricular dysfunction [LV ejection fraction (LVEF) ≥50% patients], predict all-cause mortality and major adverse cardiac events (MACE) (all patients), and provide incremental prognostic information over current risk markers.
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Elevated plasma angiotensin converting enzyme 2 activity is an independent predictor of major adverse cardiac events in patients with obstructive coronary artery disease.

TL;DR: Plasma ACE2 activity independently increased the hazard of adverse long-term cardiovascular outcomes in patients with obstructive CAD.
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Right ventricular global longitudinal strain is an independent predictor of right ventricular function: a multimodality study of cardiac magnetic resonance imaging, real time three-dimensional echocardiography and speckle tracking echocardiography.

TL;DR: This work aimed to compare speckle tracking–derived longitudinal deformation measurements with traditional two‐dimensional and real time three‐dimensional echocardiography and cardiac magnetic resonance imaging parameters for accurate assessment of right ventricular systolic function.
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Plasma ACE2 Activity Predicts Mortality in Aortic Stenosis and Is Associated With Severe Myocardial Fibrosis

TL;DR: In patients with AS, elevated plasma ACE2 was a marker of myocardial structural abnormalities and an independent predictor of mortality with incremental value over traditional prognostic markers.