QRISK

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QRISK
Purposeprediction of cardiovascular disease

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 fibrillation, diabetes mellitus, and antihypertensive treatment. [1]

Contents

A QRISK over 10 (10% risk of CVD event over the next ten years) indicates that primary prevention with lipid lowering therapy (such as statins) should be considered. [2] In the UK, current National Institute for Health and Care Excellence (NICE) guidelines recommend using QRISK (as opposed to the Framingham Risk Score). [2]

The algorithm has subsequently been validated by an independent team from the Centre for Statistics in Medicine (University of Oxford) using an external dataset. [3] [4] [5] The results were published in the BMJ and demonstrated that QRISK performed better than Framingham . www.qrisk.org is updated annually to reflect changes in populations, data quality and national guidelines (such as a change in age range over which cardiovascular risk should be assessed). The inclusion of ethnicity and deprivation in the QRISK2 algorithm is designed to help prevent widening health inequalities. The QIntervention website combines QRISK with a similar risk prediction tool (www.qdiabetes.org) to calculate risk of cardiovascular disease and type 2 diabetes. www.qintervention.org also allows clinicians to assess 'what if' scenarios i.e. how risk might change with modification of risk factors such as weight loss, stopping smoking, use of statins and better blood pressure control.[ citation needed ]

QRISK has also been developed further to estimate individualised lifetime risk of cardiovascular disease. [6]

See also

Related Research Articles

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Cholesterol is the principal sterol of all higher animals, distributed in body tissues, especially the brain and spinal cord, and in animal fats and oils.

High-density lipoprotein (HDL) is one of the five major groups of lipoproteins. Lipoproteins are complex particles composed of multiple proteins which transport all fat molecules (lipids) around the body within the water outside cells. They are typically composed of 80–100 proteins per particle. HDL particles enlarge while circulating in the blood, aggregating more fat molecules and transporting up to hundreds of fat molecules per particle.

<span class="mw-page-title-main">Low-density lipoprotein</span> One of the five major groups of lipoprotein

Low-density lipoprotein (LDL) is one of the five major groups of lipoprotein that transport all fat molecules around the body in extracellular water. These groups, from least dense to most dense, are chylomicrons, very low-density lipoprotein (VLDL), intermediate-density lipoprotein (IDL), low-density lipoprotein (LDL) and high-density lipoprotein (HDL). LDL delivers fat molecules to cells. LDL is involved in atherosclerosis, a process in which it is oxidized within the walls of arteries.

<span class="mw-page-title-main">Cardiovascular disease</span> Class of diseases that involve the heart or blood vessels

Cardiovascular disease (CVD) is any disease involving the heart or blood vessels. CVDs constitute a class of diseases that includes: coronary artery diseases, heart failure, hypertensive heart disease, rheumatic heart disease, cardiomyopathy, arrhythmia, congenital heart disease, valvular heart disease, carditis, aortic aneurysms, peripheral artery disease, thromboembolic disease, and venous thrombosis.

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<span class="mw-page-title-main">Framingham Heart Study</span> Cardiovascular cohort study

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<span class="mw-page-title-main">Fenofibrate</span> Drug of the fibrate class, mainly used to reduce cholesterol levels

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A CETP inhibitor is a member of a class of drugs that inhibit cholesterylester transfer protein (CETP). They are intended to reduce the risk of atherosclerosis by improving blood lipid levels. At least three medications within this class have failed to demonstrate a beneficial effect.

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<span class="mw-page-title-main">Familial hypercholesterolemia</span> Genetic disorder characterized by high cholesterol levels

Familial hypercholesterolemia (FH) is a genetic disorder characterized by high cholesterol levels, specifically very high levels of low-density lipoprotein cholesterol, in the blood and early cardiovascular diseases. The most common mutations diminish the number of functional LDL receptors in the liver or produce abnormal LDL receptors that never go to the cell surface to function properly. Since the underlying body biochemistry is slightly different in individuals with FH, their high cholesterol levels are less responsive to the kinds of cholesterol control methods which are usually more effective in people without FH. Nevertheless, treatment is usually effective.

<span class="mw-page-title-main">PCSK9</span> Mammalian protein found in humans

Proprotein convertase subtilisin/kexin type 9 (PCSK9) is an enzyme encoded by the PCSK9 gene in humans on chromosome 1. It is the 9th member of the proprotein convertase family of proteins that activate other proteins. Similar genes (orthologs) are found across many species. As with many proteins, PCSK9 is inactive when first synthesized, because a section of peptide chains blocks their activity; proprotein convertases remove that section to activate the enzyme. The PCSK9 gene also contains one of 27 loci associated with increased risk of coronary artery disease.

HeartScore is a cardiovascular disease risk assessment and management tool developed by the European Society of Cardiology, aimed at supporting clinicians in optimising individual cardiovascular risk reduction.

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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. In order to assess the 10-year cardiovascular disease risk, cerebrovascular events, peripheral artery disease and heart failure were subsequently added as disease outcomes for the 2008 Framingham Risk Score, on top of coronary heart disease.

<span class="mw-page-title-main">Lipidology</span>

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References

  1. Hippisley-Cox, J; Coupland, C; Vinogradova, Y; Robson, J; Brindle, P (2008). "Performance of the QRISK cardiovascular risk prediction algorithm in an independent UK sample of patients from general practice: a validation study". Heart. 94 (1): 34–39. doi: 10.1136/hrt.2007.134890 . PMID   17916661.
  2. 1 2 "Lipid modification (CG181): cardiovascular risk assessment and the modification of blood lipids for the primary and secondary prevention of cardiovascular disease". National Institute for Health and Care Excellence (NICE). July 2014. Retrieved 16 March 2015.
  3. Collins, Gary S; Altman, Douglas G (7 July 2009). "An independent external validation and evaluation of QRISK cardiovascular risk prediction: a prospective open cohort study". BMJ . 339: b2584. doi:10.1136/bmj.b2584. PMC   2714681 . PMID   19584409.
  4. Collins, Gary S; Altman, Douglas G (13 May 2010). "An independent and external validation of QRISK2 cardiovascular disease risk score: a prospective open cohort study". BMJ. 340: c2442. doi:10.1136/bmj.c2442. PMC   2869403 . PMID   20466793.
  5. Collins, Gary S; Altman, Douglas G (21 June 2012). "Predicting the 10 year risk of cardiovascular disease in the United Kingdom: independent and external validation of an updated version of QRISK2". BMJ. 344: e4181. doi:10.1136/bmj.e4181. PMC   3380799 . PMID   22723603.
  6. Hippisley-Cox, Julia; Coupland, Carol; Robson, John; Brindle, Peter (9 December 2010). "Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database". BMJ. 341: c6624. doi:10.1136/bmj.c6624. PMC   2999889 . PMID   21148212.