Lipid Accumulation Product (LAP) Calculator

Clinical calculation support · Verify results before clinical use

LAP Calculation

Enter waist circumference and fasting triglycerides to calculate the Lipid Accumulation Product.

LAPIndex
Measure at the protocol-appropriate anatomical site.
Use mmol/L. Convert from mg/dL before entering if needed.
The original equation uses different waist reference values by sex.
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About the LAP Index

The Lipid Accumulation Product (LAP) is a continuous index combining waist circumference, a proxy for central adiposity, with fasting triglyceride concentration. It was proposed as an alternative marker for studying lipid overaccumulation and cardiometabolic risk.

Formula

Male: LAP = (waist circumference [cm] − 65) × triglycerides [mmol/L]

Female: LAP = (waist circumference [cm] − 58) × triglycerides [mmol/L]

Clinical use and limitations

  • LAP is a risk-associated index, not a standalone diagnostic test.
  • Use fasting triglycerides and the units specified by the equation; entering mg/dL without conversion will produce an incorrect result.
  • The original reference points were derived from a US population. Do not assume that a single LAP threshold is validated for every ethnicity, clinical setting, or outcome.
  • Assess LAP alongside established risk factors and validated clinical tools rather than using it alone to make treatment decisions.

Reference

Kahn HS.The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovascular Disorders. 2005;5:26.DOI: 10.1186/1471-2261-5-26 · PMID: 16150143 · PubMed

The equation and original waist reference values above are based on Kahn's 2005 report. The source describes LAP as a continuous measure and does not establish a universal clinical cutoff.

Clinical disclaimer: This calculator is intended for educational and clinical-support purposes. LAP does not replace clinical assessment, established cardiovascular risk estimation, or professional judgement. Confirm measurement units and input accuracy before interpreting the result.