Serum Osmolality Calculator

Calculate estimated blood osmolality from sodium, glucose, and blood urea nitrogen values.

Calculated serum osmolality
Use laboratory values reported in conventional US units.

About calculated serum osmolality

Serum osmolality describes the concentration of dissolved particles in the liquid portion of blood. It helps clinicians evaluate water balance and investigate disorders involving sodium, glucose, kidney function, toxic alcohol exposure, and altered mental status. A laboratory can measure osmolality directly with an osmometer, while this calculator estimates it from three routinely available chemistry results: sodium, glucose, and blood urea nitrogen, or BUN. The commonly used formula in conventional US units is twice the sodium concentration plus glucose divided by 18 plus BUN divided by 2.8. Sodium contributes most of the calculated value because it and its accompanying anions are the principal extracellular osmoles. The divisors convert glucose and BUN from milligrams per deciliter to millimoles per liter. Results are expressed in milliosmoles per kilogram. Many laboratories use a reference interval near 275 to 295 mOsm/kg, although ranges and calculation conventions vary. Calculated and measured osmolality are not interchangeable. Their difference is called the osmolal gap: measured osmolality minus calculated osmolality. A raised gap can reflect unmeasured osmoles, including ethanol, methanol, ethylene glycol, isopropanol, ketones, mannitol, or other substances. The selected equation matters because some formulas include potassium or use different coefficients. Always compare the result with the equation and reference range used by the reporting laboratory. Timing matters as well: values from different blood draws should not be mixed because treatment or changing physiology may alter each component independently. This calculator expects sodium in mEq/L and glucose and BUN in mg/dL. Using SI glucose or urea values without conversion produces an incorrect answer. Abnormal results should be interpreted with volume status, renal function, acid-base findings, medications, exposures, and repeat laboratory measurements. A normal calculated value does not exclude a clinically important osmolal gap when an unmeasured substance is present. Severe symptoms, marked sodium disturbance, suspected poisoning, or an unexpectedly high osmolal gap requires urgent professional assessment. The output is educational and is not a diagnosis or treatment recommendation.

Serum osmolality examples

Laboratory valuesCalculated resultContext
Na 140, glucose 90, BUN 14290.0 mOsm/kgWithin a commonly used reference range.
Na 150, glucose 180, BUN 28320.0 mOsm/kgHigh calculated osmolality.
Na 130, glucose 90, BUN 14270.0 mOsm/kgLow calculated osmolality.

How to calculate serum osmolality

  1. Confirm that sodium is in mEq/L and glucose and BUN are in mg/dL.
  2. Enter the three values from the same blood sample.
  3. Select Calculate Osmolality to apply the standard equation.
  4. Compare the estimate with the laboratory reference interval and measured osmolality when available.

Frequently asked questions

What is a normal serum osmolality?

A common calculated reference range is about 275 to 295 mOsm/kg. The correct range depends on the laboratory, equation, and patient context.

What is the osmolal gap?

The osmolal gap is measured osmolality minus calculated osmolality. A significant elevation can suggest unmeasured osmoles and needs clinical investigation.

Can I enter SI glucose values?

Not directly. This equation expects glucose in mg/dL, so a value in mmol/L must first be converted to avoid a falsely low estimate.

Why is sodium multiplied by two?

Sodium is accompanied by negatively charged ions that also contribute particles to extracellular fluid. Doubling sodium approximates both sides of that ionic contribution.

Does a high result identify the cause?

No. Hypernatremia, hyperglycemia, uremia, dehydration, and unmeasured substances can all affect osmolality. Diagnosis requires history, examination, and measured laboratory data.