NIH LDL-C Equation:
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The NIH LDL-C equation, developed by Sampson et al., provides a more accurate method for calculating LDL cholesterol compared to the traditional Friedewald formula, especially for patients with low LDL levels or high triglycerides.
The calculator uses the NIH LDL-C equation:
Where:
Explanation: This equation provides a more accurate estimation of LDL cholesterol across a wider range of triglyceride values compared to traditional methods.
Details: Accurate LDL cholesterol measurement is crucial for assessing cardiovascular risk, guiding treatment decisions, and monitoring the effectiveness of lipid-lowering therapies.
Tips: Enter total cholesterol, HDL cholesterol, and triglycerides in mg/dL. All values must be valid (greater than 0).
Q1: Why use the NIH equation instead of Friedewald formula?
A: The NIH equation provides more accurate results, especially when triglycerides are high (>400 mg/dL) or LDL is low (<70 mg/dL).
Q2: What are optimal LDL cholesterol levels?
A: Optimal LDL is <100 mg/dL, near optimal is 100-129 mg/dL, borderline high is 130-159 mg/dL, high is 160-189 mg/dL, and very high is ≥190 mg/dL.
Q3: When should this calculation be used?
A: This calculation is particularly useful when direct LDL measurement is not available or when triglyceride levels are elevated.
Q4: Are there limitations to this equation?
A: While more accurate than Friedewald, it may still have limitations in certain populations such as those with very high triglycerides (>800 mg/dL).
Q5: Should fasting samples be used?
A: Yes, for accurate lipid measurements including triglycerides, a 9-12 hour fasting sample is recommended.