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Reference ranges for urine tests are described below: Measurement Lower limit Upper limit Unit Urinary specific gravity: 1.003 [1] [2] 1.030 [1] [2] g/mL Urobilinogen:
In addition, after sodium excretion, the osmoreceptor system may sense lowered sodium concentration in the blood and then direct compensatory urinary water loss in order to correct the hyponatremic (low blood sodium) state. Classifying renal disease. When classifying renal disease, urine sodium levels can provide insight into the underlying ...
Urine electrolyte levels can be measured in a medical laboratory for diagnostic purposes. The urine concentrations of sodium , chlorine and potassium may be used to investigate conditions such as abnormal blood electrolyte levels, acute kidney injury , metabolic alkalosis and hypovolemia .
The kidneys can also generate dilute urine to balance sodium levels. [8] These electrolytes must be replaced to keep the electrolyte concentrations of the body fluids constant. Hyponatremia, or low sodium, is the most commonly seen type of electrolyte imbalance. [12] [13]
Trace levels of protein in the urine can be normal, [60] but high levels (proteinuria) can indicate kidney disease. [45] Most cases of proteinuria are caused by increased levels of albumin , [ 61 ] which test strips can detect relatively well; but they are markedly less sensitive to other proteins, such as Bence-Jones protein , [ 62 ] which may ...
Urine specific gravity ― another measure of urine concentration [16] Urine electrolyte levels — measurement of electrolytes such as sodium and potassium in urine [17] Urine anion gap — used to distinguish between some causes of metabolic acidosis [18]
The fractional excretion of sodium (FE Na) is the percentage of the sodium filtered by the kidney which is excreted in the urine. It is measured in terms of plasma and urine sodium , rather than by the interpretation of urinary sodium concentration alone, as urinary sodium concentrations can vary with water reabsorption .
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.