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QRISK3 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial ...
The SCORE risk estimation is based on the following risk factors: gender, age, smoking, systolic blood pressure, total cholesterol, and estimates fatal cardiovascular disease events over a ten-year period. [citation needed] HeartScore is one of the tools developed to implement the 2007 European guidelines on CVD prevention in clinical practice. [2]
The Framingham Risk Score is a sex-specific algorithm used to estimate the 10-year cardiovascular risk of an individual. The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study, to estimate the 10-year risk of developing coronary heart disease. [1]
Traditional risk factors for heart disease include obesity, diabetes, high blood pressure and high cholesterol levels. Testing for Lp(a) and CRP can reveal less obvious risk factors.
Prediabetes is a component of metabolic syndrome and is characterized by elevated blood sugar levels that fall below the threshold to diagnose diabetes mellitus.It usually does not cause symptoms but people with prediabetes often have obesity (especially abdominal or visceral obesity), dyslipidemia with high triglycerides and/or low HDL cholesterol, and hypertension. [1]
What is diabetes insipidus? You’re no doubt aware of diabetes mellitus, which has type 1 and type 2 variations. It’s a disorder of water balance and control in the body, explains Christopher ...
Cardiovascular disease in a person's parents increases their risk by ~3 fold, [26] and genetics is an important risk factor for cardiovascular diseases. Genetic cardiovascular disease can occur either as a consequence of single variant (Mendelian) or polygenic influences. [ 27 ]
To search for unknown risk factors for cardiovascular disease, Hazen and his colleagues designed a multipart study that included an analysis of fasting blood samples from 1,162 patients who had ...