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The serum-ascites albumin gradient or gap (SAAG) is a calculation used in medicine to help determine the cause of ascites. [1] The SAAG may be a better discriminant than the older method of classifying ascites fluid as a transudate versus exudate. [2] The formula is as follows: SAAG = (serum albumin) − (albumin level of ascitic fluid).
Albumin: 35 [14] [50] 48, ... 1.6 [141] 12.1 [141] % of reticulocytes: ... The INR is a corrected ratio of a patient's PT to normal
Proteins in the cerebrospinal fluid, normally albumin and globulin are present in the ratio of 8 to 1. Increases in protein levels are of diagnostic value in neurological diseases. The normal CSF is clear and transparent fluid. The Pandy's reaction makes it translucent or opaque.
Measure the albumin to globulin ratio in the effusion: if it is over 0.8, FIP is ruled out; if it is less than 0.4, FIP is a possible—but not certain—diagnosis. [ 16 ] Examine the cells in the effusion: if they are predominantly lymphocytes (a type of white blood cell), then FIP is excluded as a diagnosis.
Transudates have low protein (<30 g/L), low LDH, high pH, normal glucose, and fewer than 1 white cell per 1000 mm 3. Clinically, the most useful measure is the difference between ascitic and serum albumin concentrations. A difference of less than 1 g/dl (10 g/L) implies an exudate. [9]
In alcoholic liver disease, the mean ratio is 1.45, and mean ratio is 1.33 in post necrotic liver cirrhosis. Ratio is greater than 1.17 in viral cirrhosis, greater than 2.0 in alcoholic hepatitis, and 0.9 in non-alcoholic hepatitis. Ratio is greater than 4.5 in Wilson disease or hyperthyroidism. [6]
Serum total protein, also known as total protein, is a clinical chemistry parameter representing the concentration of protein in serum. [1] Serum contains many proteins including serum albumin, a variety of globulins, and many others. While it is possible to analyze these proteins individually, total protein is a relatively quick and ...
The standard definition of a reference range for a particular measurement is defined as the interval between which 95% of values of a reference population fall into, in such a way that 2.5% of the time a value will be less than the lower limit of this interval, and 2.5% of the time it will be larger than the upper limit of this interval, whatever the distribution of these values.