Curated, plain-language updates on research & studies — each summarized and linked to its original source.
6 items
Research Highlights: The risk of being hospitalized or dying from COVID-19 infection was lower among adults with better heart health scores. Adults without cardiovascular disease and with the best levels of heart health, as indexed by the American...
Read moreBACKGROUND: Intracranial aneurysms, spontaneous coronary artery dissection and fibromuscular dysplasia are significantly more common in women than in men, but the cause of these diseases and the cause of the predominance in women is unknown. It is also unclear whether and how genetic factors (genetic disposition or genetic pleiotropy) can influence the development of these diseases. METHODS: A literature search in PubMed was conducted to identify the causes of the three arterial diseases. Partic
Read moreResearch Highlights: Several types of cardiovascular disease (CVD) and CVD risk factors were associated with an increased risk of Alzheimer’s disease, based on analysis of health data for nearly 800,000 adults from a U.K. database and a separate...
Read moreBackground Residual inflammation remains a major contributor to cardiovascular risk after ST-elevation myocardial infarction (STEMI), even with optimal control of traditional risk factors. This study evaluated the prevalence of residual inflammatory risk, using high-sensitivity C-reactive protein (hs-CRP) as a marker, and its association with achieving guideline-recommended secondary prevention targets following primary percutaneous coronary intervention (pPCI). Methods We retrospectively analyz
Read moreBackground After a myocardial infarction (MI), one of the major factors responsible for bad outcomes is systemic inflammation. It is known that diet and physical activity (PA) have separate effects on inflammation, but it is still unclear what the combined effects are in patients who have already suffered a heart attack. Methods Over 6 months, 1,700 post-MI patients in this retrospective cohort study were monitored. The validated questionnaires assessed dietary intake and physical activity adher
Read moreCholesterol Risk Net represents an example of how quantum computing can be used in predictive modelling in healthcare using quantum-inspired algorithms for efficient analysis of massive cardiovascular data sets. Features are engineered in order to make sure that all the inputs, including cholesterol and glucose levels, are standardised. Class imbalance is corrected using the SMOTE approach, which improves the generalisation of the model. The quantum-optimized version of the XGBoost classifier is
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