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Not only coronary heart disease (CHD) events but also further risks can be predicted. Risk prediction models for cardiovascular disease outcomes other than CHD events have also been developed by the Framingham Heart Study researchers. Amongst others, a risk score for 10-year risk for atrial fibrillation has been developed. [25] [26]
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 ...
Framingham Heart Study physicians. The Framingham Heart Study is a long-term, ongoing cardiovascular cohort study of residents of the city of Framingham , Massachusetts . The study began in 1948 with 5,209 adult subjects from Framingham, and is now on its third generation of participants. [ 1 ]
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The Revised Cardiac Risk Index (RCRI) is a tool used to estimate a patient's risk of perioperative cardiac complications. The RCRI and similar clinical prediction tools are derived by looking for an association between preoperative variables (e.g., patient's age, type of surgery, comorbid diagnoses, or laboratory data) and the risk for cardiac complications in a cohort of surgical patients ...
MDCalc is a free online medical reference for healthcare professionals that provides point-of-care clinical decision-support tools, including medical calculators, scoring systems, and algorithms. [1]
Duke Treadmill Score is one of the tools for predicting the risk of ischemia or infarction in the heart muscle. [1] The calculation is done based on the information obtained from an exercise test by this formula: [citation needed] [exercise duration by Bruce protocol] - [ 5 × (maximal ST elevation or depression)] - [4 × (treadmill angina index)]
A score of zero means that no comorbidities were found; the higher the score, the higher the predicted mortality rate is. [2] [3] For a physician, this score is helpful in deciding how aggressively to treat a condition. It is one of the most widely used scoring system for comorbidities. [4]
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