Cholesterol Units Converter

mg/dL
mmol/L
mg/dL
mmol/L

Lab and glucose-related numbers are easier to use when the conversion or equation is transparent. Cholesterol Units Converter keeps the calculation focused on the values you enter.

What this calculator does

Lipid panels may be reported in mg/dL or mmol/L depending on the country and laboratory. This converter translates cholesterol and triglyceride concentrations between those unit systems. Metabolic calculations can add context to measurements, but laboratory timing, assay methods, medications, and the clinical situation can change what the result means.

How to use it

Type a cholesterol value in either the mg/dL or mmol/L cholesterol field to convert it. Use the separate triglyceride pair for triglycerides, because triglycerides require a different conversion factor.

How the calculation works

For total cholesterol, HDL, or LDL, mmol/L = mg/dL ÷ 38.67 and mg/dL = mmol/L × 38.67. Triglycerides use a different factor: mmol/L = mg/dL ÷ 88.57 and mg/dL = mmol/L × 88.57.

Example

For the sample values prefilled in this calculator, the primary result is 5.172 mmol/L (Cholesterol conversion), Cholesterol mg/dL is 200, and Cholesterol mmol/L is 5.172. This example is there to show how the inputs flow through the implemented equation; replace the sample values with your own measurements before using the result.

How to interpret the result

The converted value represents the same concentration in a different unit. Make sure you use the cholesterol fields for cholesterol fractions and the triglyceride fields for triglycerides because their molecular conversion factors are not interchangeable.

Limitations and notes

This tool only converts units; it does not classify lipid levels or calculate cardiovascular risk. Rounding can create tiny differences from a laboratory report, and treatment decisions should use the original verified laboratory result and current clinical guidance. When laboratory values are involved, use results from the same units and note whether the sample was fasting or taken under other specified conditions. A mathematically correct result can still be clinically misleading when the underlying test or timing is inappropriate.

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