The Burden of Cardio-Cerebrovascular Risk Factors: Differences Between Individual Risk and Population Risk
| Autor: | Vincenzo Capuano, Rocco Capuano, Federica Marchese, Eduardo Capuano, Anna Grazia Iannone, Vittoria Simonis, Rosanna Palumbo, Noemi Piramide, Stefania Pironti |
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| Rok vydání: | 2021 |
| Předmět: |
education.field_of_study
medicine.medical_specialty business.industry Population Absolute risk reduction Odds ratio medicine.disease Cerebrovascular Disorders Cardiovascular Diseases Risk Factors Internal medicine Attributable risk Internal Medicine medicine Humans cardiovascular diseases Population Risk Risk factor Metabolic syndrome Cardiology and Cardiovascular Medicine education business Mace |
| Zdroj: | High Blood Pressure & Cardiovascular Prevention. 28:597-603 |
| ISSN: | 1179-1985 1120-9879 |
| Popis: | Cardio-cerebrovascular (CCV) disease contributes significantly to the global burden of disease, with dramatic consequences in terms of mortality and general health. Mitigate CCV risk factors is the key to reduce individual and population risk of CCV events. Evidence-based medicine and epidemiological investigations of risk factors are essential to optimize actions. To contribute to the knowledge of the burden of risk factors in determining CCV events in the individual patient and in the community. Clinical data and risk factors were collected through a longitudinal survey (1999) as part of a larger epidemiology and cardiovascular prevention project, namely the “VIP (Valle dell'Irno Prevention) Project”. We assessed the incidence of major cardiovascular events (MACE) and for each risk factor we calculated: prevalence, absolute risk, odds ratio (OR), additional risk (AR) = risk of exposed to the risk factor − risk of non-exposed, population attributable risk (PAR) = additional risk * prevalence, population attributable risk fraction (PAF) = PAR/total incidence of the disease. Comparing the MACE group with the non-MACE group, a statistically significant difference was found for the following: glomerular filtration rate (GFR), glucose and systolic blood pressure (SBP), BMI, diastolic blood pressure (DBP), cholesterol, triglycerides, creatinine and uric acid. GFR, glucose and SBP showed the highest OR. Age, creatinine, glycemia, SBP and uric acid were independent predictor of MACE. When calculating the PAF, the CCV risk factors with the greatest impact on MACE were: SBP (29.6%), triglyceridemia (19.4%) and metabolic syndrome (18.3%). The burden of risk factors on MACE changes substantially according to whether it is calculated in the single patient or in the population. It is crucial for physicians to take these differences into account when applying their own intervention to reduce CCV events. |
| Databáze: | OpenAIRE |
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