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CardiologyLipid Panel

LDL Cholesterol & Lipid Panel Calculator

Calculate Sampson/NIH LDL-C, non-HDL cholesterol and lipid ratios from one same-unit panel, with a labeled Friedewald comparison or reported-LDL provenance.

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QuickMedCalc is developed and maintained by an independent developer. Medical content is not independently reviewed by a physician.

Formula and medical content are based on the references listed on this page. See sources, About, and Sources and Review Process.

One record, explicit provenance: choose what the report contains. With triglycerides, Sampson/NIH is the primary estimate and Friedewald is a labeled historical comparison. A reported LDL-C stays reported; the workspace never infers its method.

Select the source values present on one record. No mode is selected automatically.

Use the one unit printed for all values on this record. Changing units clears numeric fields rather than converting or reinterpreting them.

Enter total cholesterol from the selected record as a positive ordinary decimal.

Enter positive HDL-C from the same record and unit.

Select the values available on one lipid record, then calculate. The workspace will show unavailable outputs explicitly rather than manufacturing missing data.

About

This workspace uses one same-unit lipid record to return the related quantities that the submitted values can actually support. Total cholesterol and HDL-C produce non-HDL-C and the TC/HDL ratio. Adding triglycerides runs the Sampson/NIH 2020 equation as the primary LDL-C estimate and shows the frozen traditional Friedewald result only as a historical comparison. Entering a reported LDL-C instead preserves that value as reported and does not relabel it as calculated. [1, 4, 6]

Sampson/NIH is an estimate from a standard lipid panel, not a direct measurement. It normalizes same-unit values to mg/dL and applies the published bivariate equation. Friedewald remains visibly separate, and this workspace does not infer or run Martin/Hopkins, a direct assay, or beta-quantification. [1, 2, 3, 4]

A derived concentration or ratio is not a diagnosis, risk percentage, personal target, or treatment decision. Current guidance and laboratory reporting still require the actual LDL-C method and broader clinical context to remain visible. [6, 7, 10, 11]

Formula

Every supported record: non-HDL-C = total cholesterol − HDL-C; TC/HDL = total cholesterol ÷ HDL-C.
Triglyceride record, primary estimate after normalization to mg/dL: Sampson/NIH LDL-C = TC ÷ 0.948 − HDL-C ÷ 0.971 − (TG ÷ 8.56 + TG × non-HDL-C ÷ 2140 − TG² ÷ 16100) − 9.44. [4]
Historical comparison: Friedewald LDL-C = TC − HDL-C − (TG ÷ 5) in mg/dL or TC − HDL-C − (TG ÷ 2.2) in mmol/L. Its quotient is an estimated VLDL-C audit term, not a measurement. [1]
Reported-LDL record: LDL/HDL = the entered or reported LDL-C ÷ HDL-C. The workspace never substitutes a Friedewald estimate for that reported source value.
This workspace conservatively requires TG <400 mg/dL or <4.5 mmol/L for both calculated LDL-C estimates and withholds nonpositive outputs. At and above the boundary, non-HDL-C and TC/HDL remain available. [6, 12]

Interpretation

Record modes and provenance

TC + HDL-C

Returned values
Non-HDL-C and TC/HDL
LDL-C identity
Not available from this record

TC + HDL-C + TG

Returned values
Non-HDL-C, TC/HDL, primary Sampson/NIH LDL-C and LDL/HDL, plus a separately labeled historical Friedewald comparison when available
LDL-C identity
Calculated — Sampson/NIH 2020 primary; Friedewald historical comparison [1, 4]

TC + HDL-C + reported LDL-C

Returned values
Non-HDL-C, TC/HDL, the reported LDL-C, and LDL/HDL
LDL-C identity
Entered / Reported — no estimation method is inferred [6]

Method limits remain attached to the result

The 2026 ACC/AHA guideline prefers Martin/Hopkins or Sampson/NIH over Friedewald for LDL-C estimation from a standard lipid profile, particularly when triglycerides are at least 150 mg/dL, LDL-C is below 70 mg/dL, or non-HDL-C is below 100 mg/dL. This page implements Sampson/NIH and keeps Martin/Hopkins outside its runtime. [3, 4, 5, 10, 11]

A 2026 comparison with 32,533 beta-quantification results found that every tested equation had more than 49% of values outside the stated allowable-error limit when triglycerides were 401–800 mg/dL. This workspace therefore uses the more conservative 400 mg/dL / 4.5 mmol/L boundary for both estimates; being below it permits arithmetic but does not prove accuracy or interchangeability with the laboratory method. [6, 12]

What these outputs do not establish

LDL-C is cholesterol mass, not LDL particle number or ApoB. Non-HDL-C includes cholesterol in multiple non-HDL lipoprotein classes. The two displayed ratios are arithmetic quotients, not universal risk classes. This workspace does not infer Lp(a), ApoB, LDL-P, a diagnosis, a goal, or a medication decision. [6, 8]

Use one record, once

Select exactly what the report contains, choose its one printed unit, and enter each source value once. Switching units clears every number rather than reinterpreting it. Switching record modes clears the mode-specific triglyceride or LDL-C field and all stale results.

Fasting and report method

The original Friedewald work used fasting samples, while modern lipid profiles are often collected fasting or nonfasting. Sampling context can affect triglycerides, and a report may use Sampson/NIH, Martin/Hopkins, Friedewald, a direct assay, or another stated method. Preserve the method and collection context on the report rather than treating unlike values as interchangeable. [1, 6, 9]

References

  1. Friedewald WT, Levy RI, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma, without use of the preparative ultracentrifuge. Clin Chem. 1972;18(6):499–502. PMID 4337382.
  2. Martin SS, Blaha MJ, Elshazly MB, et al. Friedewald-estimated versus directly measured low-density lipoprotein cholesterol and treatment implications. J Am Coll Cardiol. 2013;62(8):732–739. PMID 23524048. DOI 10.1016/j.jacc.2013.01.079.
  3. Martin SS, Blaha MJ, Elshazly MB, et al. Comparison of a novel method vs the Friedewald equation for estimating LDL-C levels from the standard lipid profile. JAMA. 2013;310(19):2061–2068. PMID 24240933. DOI 10.1001/jama.2013.280532.
  4. Sampson M, Ling C, Sun Q, et al. A New Equation for Calculation of Low-Density Lipoprotein Cholesterol in Patients With Normolipidemia and/or Hypertriglyceridemia. JAMA Cardiol. 2020;5(5):540–548. PMID 32101259. PMCID PMC7240357. DOI 10.1001/jamacardio.2020.0013.
  5. Martin SS, Giugliano RP, Murphy SA, et al. Comparison of LDL-C Assessment by Martin/Hopkins Estimation, Friedewald Estimation, and Preparative Ultracentrifugation: Insights From the FOURIER Trial. JAMA Cardiol. 2018;3(8):749–753. PMID 29898218. DOI 10.1001/jamacardio.2018.1533.
  6. Cao J, Donato L, El-Khoury JM, et al. ADLM Guidance Document on the Measurement and Reporting of Lipids and Lipoproteins. J Appl Lab Med. 2024;9:1040–1056. PMID 39225455. DOI 10.1093/jalm/jfae057.
  7. Correction to: ADLM Guidance Document on the Measurement and Reporting of Lipids and Lipoproteins. J Appl Lab Med. 2025;10(4):1085. PMID 40172951. DOI 10.1093/jalm/jfaf021.
  8. Langlois MR, Nordestgaard BG, Langsted A, et al. Quantifying atherogenic lipoproteins for lipid-lowering strategies: consensus-based recommendations from EAS and EFLM. Clin Chem Lab Med. 2020;58(4):496–517. PMID 31855562. DOI 10.1515/cclm-2019-1253.
  9. Nordestgaard BG, Langsted A, Mora S, et al. Fasting Is Not Routinely Required for Determination of a Lipid Profile. Clin Chem. 2016;62(7):930–946. PMID 27235445. DOI 10.1373/clinchem.2016.258897.
  10. Blumenthal RS, Morris PB, Gaudino M, et al. 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia. Circulation. 2026;153:e1154–e1276. PMID 41824552. DOI 10.1161/CIR.0000000000001423.
  11. Correction to: 2026 ACC/AHA/AACVPR/ABC/ACPM/ADA/AGS/APhA/ASPC/NLA/PCNA Guideline on the Management of Dyslipidemia. Circulation. 2026;153(25):e1447. PMID 42330109. DOI 10.1161/CIR.0000000000001457.
  12. Paquette M, Thanassoulis G, Sherman MH, Blank DW, Baass A. Poor Performance of LDL-Cholesterol Equations versus Beta Quantification in a Very Large Cohort of Patients with Dyslipidemia. Clin Chem. 2026;72(7):801–813. PMID 42047357. DOI 10.1093/clinchem/hvag038.

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Educational and informational reference only. Not intended to replace professional medical advice, diagnosis, treatment, or independent verification.