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Reference ranges for urine tests are described below: Measurement Lower limit Upper limit Unit ... per High Power Field (HPF) RBC casts: n/a 0 / negative [2]
The normal number of red blood cells in urine should not usually exceed 3 per high power field. [13] A urine test strip showing positive for blood can also indicate hemoglobinuria, which is not detectable using a microscope due to the lysis of red blood cells in the urinary tract (particularly in alkaline or dilute urine), or intravascular ...
It normally ranges from 1.003 to 1.035; lower values indicate that the urine is dilute, while higher values mean that it is concentrated. A urine specific gravity that consistently remains around 1.010 (isosthenuria) can indicate kidney damage, as it suggests that the kidneys have lost the ability to control urine concentration. [39]
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 ]
Urine typically contains epithelial cells shed from the urinary tract, and urine cytology evaluates this urinary sediment for the presence of cancerous cells [2] [3] from the lining of the urinary tract, and it is a convenient noninvasive technique for follow-up analysis of patients treated for urinary tract cancers.
The white blood cell differential is a common blood test that is often ordered alongside a complete blood count.The test may be performed as part of a routine medical examination; to investigate certain symptoms, particularly those suggestive of infection or hematological disorders; [5] [6] or to monitor existing conditions, such as blood disorders and inflammatory diseases.
A new study suggests that a person’s cholesterol levels could indicate their risk of developing dementia. Here's what a neurologist wants you to know.
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.