Theoretical correction published in 1973.
Electrolytes · Hyperglycemia
Corrected Sodium
Compare the Katz and Hillier correction factors side by side. The calculator does not hide the disagreement between commonly cited methods.
Step 1
Enter laboratory values
Private by design. Values are calculated on this device and are not saved or sent to analytics.
Step 2
Compare estimates
Mean correction factor from a prospective evaluation.
Evidence packet
What this tool is based on
This versioned record keeps the citations, equation or decision rule, units, test coverage, intended population, and exclusions attached to the tool.
How evidence review works →Patients with hyperglycemia when an estimated glucose-corrected sodium is useful as one part of clinical assessment.
Measured sodium + correction factor × ((glucose − 100) / 100), comparing Katz 1.6 and Hillier 2.4 mEq/L per 100 mg/dL.
Sodium accepts mEq/L or mmol/L (numerically equivalent for sodium); glucose accepts mg/dL or mmol/L using 18 mg/dL per mmol/L.
Katz and Hillier reference calculations, glucose unit equivalence, threshold behavior, and invalid inputs.
Do not skip
Limitations and exclusions
- Not intended for normoglycemia or hypoglycemia; the calculator begins at glucose 100 mg/dL.
- This is an estimate, not a measured sodium value or a treatment target.
- The correction relationship may not remain linear at extreme glucose concentrations.
- Do not use a formula in place of serial laboratory measurement and clinical assessment during treatment.
- Interpret in the context of tonicity, volume status, renal function, and the clinical cause of hyperglycemia.
One clearly labeled, contextually relevant sponsor may support this reference area. Sponsorship will never interrupt inputs, obscure results, influence formulas, or imply clinical endorsement.
About this tool
Corrected Sodium Calculator for Hyperglycemia
Use this corrected sodium calculator to compare Katz and Hillier glucose-correction estimates side by side in hyperglycemia.
The tool displays both correction factors instead of implying that one estimate is universally preferred. Interpret the result with the full clinical picture, measured values, and local guidance.
