June 2020 Discover Circ Res

<p>This month on Episode 13 of the Discover CircRes podcast, host Cindy St. Hilaire highlights three featured articles from the June 5 issue of Circulation Research and gives listeners an inside scoop on the cutting-edge ideas in the June 19th Compendium on Atrial Fibrillation. This episode also features an in-depth conversation with Dr David McManus on emerging technologies for identifying AFib. </p> <p> </p> <p>Article highlights:<br />  </p> <p>Zhang, et al. <a href= "https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.120.317134">ACEI/ARB on COVID-19 in patients with hypertension</a></p> <p>Sakamoto, et al. <a href= "https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.119.316100">ERR Signaling and Cardiac Maturation</a></p> <p>Xie, et al. <a href= "https://www.ahajournals.org/doi/10.1161/CIRCRESAHA.119.316322">CIRP Governs the Heart Rate Response to Stress</a></p> <p>Cindy St. Hilaire:           Hello and welcome to Discover CircRes, the podcast for the American Heart Association's journal, Circulation Research. I'm your host, Dr Cindy St. Hilaire, from the Vascular Medicine Institute at the University of Pittsburgh.</p> <p>Today, I'm going to share with you three articles selected from the June 5th issue of Circulation Research as well as give you an overview of the Compendium on Atrial Fibrillation also coming out in June. We'll follow that by having a discussion with Dr David McManus regarding his review on the emerging technologies for identifying AFib in the general population. So first, the highlights.</p> <p>The first article I'm sharing with you is titled Association of Inpatient Use of Angiotensin-Converting Enzyme Inhibitors and Angiotensin II Receptor Blockers with Mortality Among Patients with Hypertension Hospitalized with COVID-19. The first author is Peng Zhang and the corresponding author is Hongliang Li and they're from Wuhan University in Wuhan, China.</p> <p>Patients with hypertension have increased risk of death from COVID-19. While the high blood pressure itself is likely to contribute to t