New research from our 45 and Up Study has revealed a gender gap in the use of medication after a heart attack or stroke, with women much less likely to be taking the preventive medication that could benefit their health. What’s going on?
Topics: Cardiovascular disease
Cardiovascular disease risk prediction using machine learning
To assess whether machine learning can improve CVD risk prediction, compared to traditional statistical methods and to identify the minimum informative set of self-reported questionnaire data that can accurately predict CVD outcome events in the Australian 45 and Up Study.
Heart attack survivors fall through medicine cracks
Less than one-third of people who survive a heart attack are taking protective medications 12 months later, according to new Australian research based on data from the Sax Institute’s 45 and Up Study. Researchers from the George Institute in Sydney analysed medication use in 14,200 people who were hospitalised for a first heart attack, focusing … Read more
Effectiveness of standard dose influenza vaccine in preventing cardiovascular hospitalisations
Objective: To estimate the effectiveness of standard dose influenza vaccine (SD) in preventing hospitalisation for cardiovascular disease (CVD) in patients aged ≥50 years.Specific aim is to estimate the effectiveness of SD influenza vaccination in 2017 in preventing CVD