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Leukocyte esterase (LE) is an esterase (a type of enzyme) produced by leukocytes (white blood cells). A leukocyte esterase test (LE test) is a urine test for the presence of white blood cells and other abnormalities associated with infection. White blood cells in the urine can indicate a urinary tract infection (UTI). Positive test results may ...
Reference ranges for urine tests are described below: Measurement Lower limit Upper limit ... White blood cells (WBCs) 0 [2] 2 [2] pH: 5 [2] 7 [2] (unitless) Protein ...
In the elderly, the leukocyte esterase test is often positive even in the absence of an infection. [citation needed] The urine dipstick test is readily available and provides fast, but often unreliable results. Some organisms such as chlamydia and Ureaplasma urealyticum will produce a negative leukocyte esterase reaction.
Urinalysis, a portmanteau of the words urine and analysis, [1] is a panel of medical tests that includes physical (macroscopic) examination of the urine, chemical evaluation using urine test strips, and microscopic examination.
Pyuria is the condition of urine containing white blood cells or pus. Defined as the presence of 6-10 or more neutrophils per high power field of unspun, voided mid-stream urine, it can be a sign of a bacterial urinary tract infection. Pyuria may be present in people with sepsis, or in older people with pneumonia.
The test for leukocyte esterase is purely indicative and should not be solely relied on for diagnosis, as it does not replace microscopic or urine culture examinations. [19] The urine test strip reaction is based on the action of leukocyte esterase in catalysing the hydrolysis of an ester of indolecarboxylic acid.
A urine test is any medical test performed on a urine specimen. The analysis of urine is a valuable diagnostic tool because its composition reflects the functioning of many body systems, particularly the kidneys and urinary system , and specimens are easy to obtain. [ 1 ]
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.