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In epidemiology, a risk factor or determinant is a variable associated with an increased risk of disease or infection. [ 1 ] : 38 Due to a lack of harmonization across disciplines, determinant , in its more widely accepted scientific meaning , is often used as a synonym.
Anti-mitochondrial antibodies (AMA) are autoantibodies, consisting of immunoglobulins formed against mitochondria, [1] primarily the mitochondria in cells of the liver.. The presence of AMA in the blood or serum of a person may be indicative of the presence of, or the potential to develop, the autoimmune disease primary biliary cholangitis (PBC; previously known as primary biliary cirrhosis).
The term "risk factor" was first coined Dr. William B. Kannel in a 1961 article in Annals of Internal Medicine.Dr. Kannel was the epidemiologist who discovered most of the major risk factors for cardiovascular disease while working on the Framingham Heart Study in Massachusetts.
The term arose in the context of infectious disease research, in contrast to "organism factors", such as the virulence and infectivity of a microbe. Host factors that may vary in a population and affect disease susceptibility can be innate or acquired. Some examples: [1] general health; psychological characteristics and attitude; nutritional state
The methods (or approaches) increase in sophistication and risk sensitivity with AMA being the most advanced of the three. Under AMA the banks are allowed to develop their own empirical model to quantify required capital for operational risk. Banks can use this approach only subject to approval from their local regulators.
It assigns scores to individuals based on risk factors; a higher score reflects higher risk. The score reflects the level of risk in the presence of some risk factors (e.g. risk of mortality or disease in the presence of symptoms or genetic profile, risk financial loss considering credit and financial history, etc.).
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They have pointed the way to a number of important discoveries and advances. The case–control study design is often used in the study of rare diseases or as a preliminary study where little is known about the association between the risk factor and disease of interest. [8]