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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 reference ranges for the complete blood count represent the range of results found in 95% of apparently healthy people. [note 2] [35] By definition, 5% of results will always fall outside this range, so some abnormal results may reflect natural variation rather than signifying a medical issue. [36]
Red blood cell distribution width (RDW), as well as various types thereof (RDW-CV or RCDW and RDW-SD), is a measure of the range of variation of red blood cell (RBC) volume that is reported as part of a standard complete blood count. [1] Red blood cells have an average volume of 80–100 femtoliters, but individual cell volumes vary even in ...
The mean corpuscular volume is a part of a standard complete blood count. In patients with anemia, it is the MCV measurement that allows classification as either a microcytic anemia (MCV below normal range), normocytic anemia (MCV within normal range) or macrocytic anemia (MCV above normal range). Normocytic anemia is usually deemed so because ...
The measurement depends on the number and size of red blood cells. [3] It is normally 40.7–50.3% for males and 36.1–44.3% for females. [3] It is a part of a person's complete blood count results, [4] along with hemoglobin concentration, white blood cell count and platelet count.
Mean corpuscular volume (MCV) is the average volume of a red blood cell and is calculated by dividing the hematocrit (Hct) by the concentration of red blood cell count. [citation needed] = [] Normal range: 80–100 fL (femtoliter)
"Your blood pressure is supposed to be under 140 over 90, optimally closer to 120 over 80."
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.