Unmasking residual cardiovascular risk: the paradoxical interaction between remnant cholesterol and calculated LDL-C in a tertiary-care cohort
Cholesterol formulas may create misleading impressions of residual heart risk, while inflammation markers independently predict disease regardless of calculation method.
In N=3,342 tertiary-care patients, a significant negative LDL-C × remnant cholesterol interaction for ASCVD risk was detected, but this interaction differed with Friedewald vs. Sampson-NIH LDL-C calculation, suggesting formula-dependent artifact may inflate apparent residual risk from remnant cholesterol. logCRP independently predicts ASCVD regardless of equation choice.
What the study was
- Study design
- Cross-sectional analysis
- Population
- Consecutively tested adults from tertiary-care clinical monitoring; N=3,342
- Sample size
- 3342
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- Lipids in Health and Disease
Why it surfaced
Large clinical dataset addressing important methodological question about remnant cholesterol and LDL equation choice in ASCVD risk management; relevant to cardiometabolic precision diagnostics.
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