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An ANA test is considered positive if fluorescence is seen at a titre of 1:40/1:80. Higher titres are more clinically significant as low positives (≤1:160) are found in up to 20% of healthy individuals, especially the elderly.
The total number of cations (positive ions) should be equal to the total number of anions (negative ions), so that the overall electrical charge is neutral. However, routine tests do not measure all types of ions. The anion gap is representative of how many ions are not accounted for by the lab measurements used in the calculation. These ...
Autoantibodies are usually absent or very low, so instead of being given in standard reference ranges, the values usually denote where they are said to be present, or whether the test is a positive test. There may also be an equivocal interval, where it is uncertain whether there is a significantly increased level.
An extractable nuclear antigen panel, or an ENA panel, tests for presence of autoantibodies in the blood that react with proteins in the cell nucleus.It is usually done as a follow-up to a positive antinuclear antibody test and when one is showing symptoms of an autoimmune disorder.
Serology is the scientific study of serum and other body fluids.In practice, the term usually refers to the diagnostic identification of antibodies in the serum. [1] Such antibodies are typically formed in response to an infection (against a given microorganism), [2] against other foreign proteins (in response, for example, to a mismatched blood transfusion), or to one's own proteins (in ...
In medical testing with binary classification, the diagnostic odds ratio (DOR) is a measure of the effectiveness of a diagnostic test. [1] It is defined as the ratio of the odds of the test being positive if the subject has a disease relative to the odds of the test being positive if the subject does not have the disease.
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Diagram relating pre- and post-test probabilities, with the green curve (upper left half) representing a positive test, and the red curve (lower right half) representing a negative test, for the case of 90% sensitivity and 90% specificity, corresponding to a likelihood ratio positive of 9, and a likelihood ratio negative of 0.111.