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α-Amylase is an enzyme (EC 3.2.1.1; systematic name 4-α-D-glucan glucanohydrolase) ... Total amylase readings of over 10 times the upper limit of normal (ULN) are ...
Blood serum amylase may be measured for purposes of medical diagnosis. A higher than normal concentration may reflect any of several medical conditions, including acute inflammation of the pancreas (which may be measured concurrently with the more specific lipase ), [ 12 ] perforated peptic ulcer , torsion of an ovarian cyst , strangulation ...
The association of amylase with some drugs has also been reported. [2] The macroamylase molecules are unable to pass through the kidneys and are therefore retained in the blood, leading to elevated levels of amylase in the bloodstream. In contrast, amylase urine levels are normal. [3]
Reference ranges (reference intervals) for blood tests are sets of values used by a health professional to interpret a set of medical test results from blood samples. Reference ranges for blood tests are studied within the field of clinical chemistry (also known as "clinical biochemistry", "chemical pathology" or "pure blood chemistry"), the ...
The comprehensive metabolic panel, or chemical screen (CMP; CPT code 80053), is a panel of 14 blood tests that serves as an initial broad medical screening tool. The CMP provides a rough check of kidney function, liver function, diabetic and parathyroid status, and electrolyte and fluid balance, but this type of screening has its limitations.
The reference range for total protein is typically 60-80g/L. (It is also sometimes reported as "6.0-8.0g/dl"), [2] but this may vary depending on the method of analysis. Concentrations below the reference range usually reflect low albumin concentration, for instance in liver disease or acute infection.
"During that time, I received a 'normal' mammogram report every one of those years. The cancer was present, but because my breasts were so dense, the cancer could not be seen. The day my cancer ...
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.