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💓 Lipid Panel Interpretation Simulator

An interactive model of a lipid panel that calculates LDL cholesterol using Friedewald’s formula, triglyceride-to-HDL cholesterol ratio, and assesses cardiovascular risk.

Hypertension & Cholesterol Management2DModerate60 FPS
lipid-panel-interpretation-simulator ↗ Open standalone

Raw Lipid Panel Values

Placeholder lead: three numbers measured directly from a fasting blood draw.

  • mg/dL: Total Cholesterol (placeholder measured value)
  • mg/dL: HDL Cholesterol (placeholder measured value)
  • mg/dL: Triglycerides (placeholder measured value)
  • 9–12 h: Fasting Window (placeholder standard prep)

What the lab actually measures

Placeholder: TC, HDL, TG measured enzymatically; LDL is not.

Why fasting matters

Placeholder: triglycerides spike after meals, skewing later math.

Setting a baseline

Placeholder: these three inputs feed every downstream calculation.

Placeholder insight: only three values are ever directly measured.

Calculating LDL — The Friedewald Formula

Placeholder lead: LDL is estimated, not measured, using a simple subtraction.

  • TC−HDL−TG/5: Formula (placeholder equation)
  • 400 mg/dL: Reliability Cutoff (placeholder TG limit)
  • 1972: Published (placeholder origin year)
  • TG/5: Assumes VLDL (placeholder VLDL estimate)

The subtraction logic

Placeholder: VLDL approximated as TG divided by five.

Where it breaks down

Placeholder: high triglycerides invalidate the VLDL assumption.

Direct LDL alternative

Placeholder: direct assay used when formula is unreliable.

Placeholder insight: above TG 400, calculated LDL is unreliable.

Triglyceride-to-HDL Ratio

Placeholder lead: a simple ratio flags insulin resistance and particle size.

  • <2.0: Optimal Ratio (placeholder low-risk cutoff)
  • >4.0: Elevated Ratio (placeholder high-risk cutoff)
  • Particle size: Reflects (placeholder small dense LDL)
  • Insulin resistance: Linked To (placeholder metabolic marker)

Why the ratio matters

Placeholder: high TG with low HDL suggests small dense LDL.

A metabolic proxy

Placeholder: ratio correlates with insulin resistance severity.

Not a replacement

Placeholder: ratio supplements, never replaces, LDL interpretation.

Placeholder insight: ratio above four flags atherogenic pattern.

Comparing Values Against Risk Categories

Placeholder lead: each value is placed on its own risk-category scale.

  • <100: LDL Optimal (placeholder mg/dL)
  • ≥190: LDL Very High (placeholder mg/dL)
  • ≥60: HDL Protective (placeholder mg/dL)
  • <150: TG Normal (placeholder mg/dL)

LDL categories

Placeholder: optimal, near-optimal, borderline, high, very high bands.

HDL and TG categories

Placeholder: higher HDL protective, higher TG progressively worse.

No value stands alone

Placeholder: ranges are inputs to a combined judgment.

Placeholder insight: category placement alone does not equal risk.

Overall Cardiovascular Risk Pattern

Placeholder lead: the combined picture, not one value, drives the decision.

  • 4: Pattern Inputs (placeholder combined values)
  • 3: Risk Bands (placeholder low/moderate/high)
  • Statin: Therapy Trigger (placeholder if elevated)
  • ~3 months: Reassessment (placeholder follow-up window)

Combining the signals

Placeholder: LDL, ratio, and reliability merged into one score.

Therapy implications

Placeholder: elevated risk pattern can justify statin therapy.

Beyond the panel

Placeholder: lifestyle and other risk factors still matter.

Placeholder insight: pattern-based judgment beats single-value reading.
⚙ Under the hood

An interactive model of a lipid panel that calculates LDL cholesterol using Friedewald’s formula, triglyceride-to-HDL cholesterol ratio, and assesses cardiovascular risk.

CanvasBiomedicine

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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