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December 2019 Briefing – Cardiology

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Here are what the editors at HealthDay consider to be the most important developments in Cardiology for December 2019. This roundup includes the latest...
For patients with elevated lipoprotein(a) levels and established cardiovascular disease

APO(a)-LRX Found to Reduce Lipoprotein(a) Levels

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Dose-dependent reduction found in patients with elevated lipoprotein(a) levels, cardiovascular disease
Patients with diabetes mellitus have an increased risk for heart failure

Diabetes Mellitus May Increase Risk for Developing Heart Failure

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Increased risk for heart failure also seen in group of participants without diastolic dysfunction
A machine learning system can generate clinically valid alerts for medication errors that might be missed with existing clinical decision support systems

Machine Learning System Makes More Alerts for Med Errors

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68.2 percent of MedAware alerts would not have been generated with clinical decision support system
Suboptimal diet accounts for 18.2 percent of all cardiometabolic disease costs in the United States

Poor Diet Contributes Substantially to Cardiometabolic Disease Costs

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Diet tied to more than $50 billion in annual health care costs for heart disease, stroke, diabetes
For patients with type 1 diabetes

High Lipoprotein(a) Is Risk Factor for CVD in Type 1 Diabetes

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Lp(a) significant risk factor for macrovascular disease, albuminuria, calcified aortic valve disease
Intermittent fasting has multiple health benefits

Multiple Health Benefits Reported for Intermittent Fasting

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Review suggests health benefits can be attributed to more than just reduction in caloric intake
Environmental exposure to pyrethroid insecticides is associated with an increased risk for all-cause and cardiovascular disease mortality

Exposure to Pyrethroid Insecticides Linked to Mortality

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Risk increased for all-cause, CVD mortality for highest tertile of urinary 3-phenoxybenzoic acid
A machine learning model improves the prediction of long-term risks for myocardial infarction and cardiac death

Machine Learning Model Helps Predict Risk for MI, Cardiac Death

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Model integrates clinical and quantitative imaging-based variables to predict long-term cardiac risks
Recall of a cardiac resynchronization therapy pacemaker

Recall of Pacemaker in Nov. 2015 Was Delayed Unnecessarily

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Manufacturer and FDA were aware of battery and wire connection defects for 19 months before recall