Modelling cardiovascular disease prevention
According to the World Health Organization (WHO), cardiovascular disease (CVD), which sits under the chronic disease umbrella, is the number one cause of death globally. Over time, we have witnessed different trends that have influenced the prevalence of CVD.
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Comorbidity indices in observational studies on cardiovascular risk. [PDF]
Zethelius B, Talbäck M, Ljung R.
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Comparison of framingham risk model, atherosclerotic cardiovascular disease risk model, and assign risk model in detecting sub-clinical atherosclerosis among DIMAMO residents, Limpopo province, South Africa. [PDF]
Mohlele D +5 more
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Prognostic Impact of Metabolic Syndrome by Different Definitions in a Population with High Prevalence of Obesity and Diabetes: The Strong Heart Study. [PDF]
BEST LG +6 more
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Association of the C-reactive protein-triglyceride-glucose index with metabolic dysfunction-associated steatotic liver disease and long-term all-cause and cardiovascular mortality: evidence from two nationwide prospective cohort studies. [PDF]
Jin XF +27 more
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Association between long-term exposure to artificial light at night and air pollution, and cardiovascular diseases in middle-aged and older adults. [PDF]
Liu Z +12 more
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Artificial Intelligence-Enhanced Electrocardiography for Predicting Paroxysmal Atrial Fibrillation From Sinus Rhythm: Impact of Data Integration Across Institutions and Devices. [PDF]
Suzuki S +17 more
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Soluble Urokinase Plasminogen Activator Receptor (suPAR) Mediates the Impact of Diabetes on Adverse Outcomes in Coronary Artery Disease. [PDF]
Sakr SM +22 more
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Prediction models for incident stroke in the community: a systematic review and meta-analysis of predictive performance. [PDF]
Haris M +10 more
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Evolving Models of Cardiovascular Practices
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