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News You Need to Know Today
2 new ways to identify high-risk COVID-19 patients | The impact of pandemic-related delays on TAVR care
Friday, October 2, 2020
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Today's News and Trends

Top Stories

2 new strategies for identifying COVID-19 patients at a higher risk of severe illness or death

The teams behind two new studies explored very different ways to predict severe illness or death among hospitalized COVID-19 patients. 

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2 new strategies for identifying COVID-19 patients at a higher risk of severe illness or death

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The teams behind two new studies explored very different ways to predict severe illness or death among hospitalized COVID-19 patients. 
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How COVID-related delays are impacting TAVR patients

Some high-risk patients died during the delay, the research team reported. 

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How COVID-related delays are impacting TAVR patients

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Some high-risk patients died during the delay, the research team reported. 
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Featured Articles

How treating AFib with catheter ablation affects patients with heart failure

One key finding reported by the research team was a substantial decrease in AFib readmissions. 

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How treating AFib with catheter ablation affects patients with heart failure

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One key finding reported by the research team was a substantial decrease in AFib readmissions. 
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Chemotherapy could be damaging children’s heart cells, leading to problems later in life

The researchers think their findings may explain why so many cancer survivors go on to experience heart failure.

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Chemotherapy could be damaging children’s heart cells, leading to problems later in life

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The researchers think their findings may explain why so many cancer survivors go on to experience heart failure.
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5 ways to help keep patients safe this fall as the pandemic continues

The new guidelines come straight from the American College of Cardiology. 

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New findings out of the University of Missouri suggests that the long-lasting impact of COVID-19 may not be quite as substantial as some researchers originally believed. The study’s authors evaluated nearly 50 different symptoms to see if they were more common up to one year after a person has been infected with COVID-19. They found, however, that this was true of just seven symptoms: heart palpitations, chest pain, shortness of breath, joint pain, hair loss, fatigue and obesity. #COVID19 #longCOVID
Share on Twitter Share on Facebook Share on Linkedin

5 ways to help keep patients safe this fall as the pandemic continues

Share on Twitter Share on Facebook Share on Linkedin
New findings out of the University of Missouri suggests that the long-lasting impact of COVID-19 may not be quite as substantial as some researchers originally believed. The study’s authors evaluated nearly 50 different symptoms to see if they were more common up to one year after a person has been infected with COVID-19. They found, however, that this was true of just seven symptoms: heart palpitations, chest pain, shortness of breath, joint pain, hair loss, fatigue and obesity. #COVID19 #longCOVID
The new guidelines come straight from the American College of Cardiology. 
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Bonus benefits: Type 2 diabetes medications can also combat heart and kidney disease

The analysis, written by representatives of the American Heart Association, focused on SGLT2 inhibitors and GLP-1 receptor agonists.

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Bonus benefits: Type 2 diabetes medications can also combat heart and kidney disease

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Old doctor
The analysis, written by representatives of the American Heart Association, focused on SGLT2 inhibitors and GLP-1 receptor agonists.
READ MORE >

From the Magazine

Yes, Telehealth Will Increase, But Wearables Are Grabbing the Spotlight

COVID-19 has showcased the power and practicality of wearable cardiac monitoring devices for patients and physicians. Many expect the trend toward digitization will only accelerate.

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Yes, Telehealth Will Increase, But Wearables Are Grabbing the Spotlight

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wearables
COVID-19 has showcased the power and practicality of wearable cardiac monitoring devices for patients and physicians. Many expect the trend toward digitization will only accelerate.
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In Other News

AI could correct male bias in drug trials

Researchers at Columbia University have developed a machine learning algorithm that identifies and predicts gender-based differences in adverse reactions to drugs. 

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AI could correct male bias in drug trials

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Researchers at Columbia University have developed a machine learning algorithm that identifies and predicts gender-based differences in adverse reactions to drugs. 
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