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INTERSTROKE: Anger, Heavy Physical Exertion May Trigger Strokes

“We would be . . . advising people as much as possible to avoid or minimize those sorts of exposures,” a researcher says. ....

Andrew Smyth , Susanne Wegener , Mcmaster University , Population Health Research Institute , Md University Hospital Zurich , European Heart Journal , University Hospital Zurich ,

Tricuspid Trio: TRISCEND, CLASP TR, and TriBAND Studies Show Advances

May 21, 2021
Transcatheter therapies for tricuspid valve disease continue to gain momentum, as evidenced by three studies presented at this week’s EuroPCR 2021: TRISCEND, TriBAND, and CLASP TR.
On the whole, the early data suggest these devices are a viable treatment for tricuspid regurgitation (TR), investigators told the meeting’s virtual audience, yet they also speak to the diverse approaches annular reduction, transcatheter edge-to-edge repair (TEER), and valve replacement aimed at addressing this clinical niche.
All three are manufactured by Edwards Lifesciences:
Thirty-day data from TRISCEND make the case for valve replacement, specifically with the Evoque device, in patients with symptomatic and at least moderate TR. ....

New York , United States , University Hospital , Mackram Eleid , Georg Nickenig , Susheel Kodali , Thomas Modine , Trialign Mitralign , Mara Gavazzoni , Edwards Lifesciences , Md University Hospital Bonn , American College Of Cardiology , Md University Hospital Zurich , Presbyterian Columbia University Irving Medical Center , Trivalve Registry , American College , Columbia University Irving Medical Center , Kansas City Cardiomyopathy Questionnaire , Mayo Clinic , University Hospital Bonn , University Hospital Zurich , Navigate Cardiac Structures , புதியது யார்க் , ஒன்றுபட்டது மாநிலங்களில் , பல்கலைக்கழகம் மருத்துவமனை , சுஷீல் கோடலி ,

Based on Machine Learning, PRAISE Score Balances Risks in Post-ACS Care

January 26, 2021
A new risk score based on machine learning shows promise in predicting death, MI, and bleeding following an ACS event, potentially allowing clinicians to better individualize care.
The score, called PRAISE, is not the first score proposed to aide in outcome prediction and dual antiplatelet therapy (DAPT) duration decisions for this cohort of patients; one specifically designed for use in patients at high bleeding risk was published just last week. But the machine learning component is novel.
“The study showed that a machine learning approach is feasible and effective and more accurate than currently existing predictive scores that are based upon conventional and classical statistical methods,” study co-author Ovidio De Filippo, MD (University of Turin, Italy), told TCTMD. “We believe that this is an important step toward personalizing and having a tailored approach for patients suffering from acute coronary syndrome in order to predict their risk ....

France General , Fabrizio Dascenzo , Guglielmo Gallone , Christian Templin , Md University Of Turin , Md University Hospital Zurich , Ovidio De Filippo , Fabriziod Ascenzo , Davide Di Vece , University Hospital Zurich , பிரான்ஸ் ஜநரல் , கிறிஸ்துவர் டெம்ப்ளின் , ம்ட் பல்கலைக்கழகம் ஆஃப் டரின் , ம்ட் பல்கலைக்கழகம் மருத்துவமனை ஸுரி , பல்கலைக்கழகம் மருத்துவமனை ஸுரி ,