Harris · Journal of clinical lipidology 2019 · Cross-sectional regression modeling · n=2311

Translating plasma eicosapentaenoic acid concentrations into erythrocyte percentages of eicosapentaenoic acid plus docosahexaenoic acid during treatment with icosapent ethyl.

Cited 2 times in the scientific literature.

Level 4 - case-series / case-control

Cross-sectional modeling and mathematical estimation using retrospective laboratory data

PubMed 31401072 · doi:10.1016/j.jacl.2019.07.001 · record verified 2026-08-30

What was done

Researchers generated a linear regression equation using deidentified laboratory data from 2,311 patients with lipid profiles similar to the REDUCE-IT trial population to model the relationship between plasma fatty acids and erythrocyte Omega-3 Index (RBC EPA plus DHA percentage). This equation, along with previously published RBC fatty acid data, was used to mathematically estimate baseline and post-treatment Omega-3 Index values in REDUCE-IT participants receiving 4 g/day of icosapent ethyl.

What was found

Both mathematical modeling and conversion of prior published trial data estimated baseline Omega-3 Index levels at approximately 5% and on-treatment levels at approximately 7% after 4 g/day icosapent ethyl. Additionally, plasma EPA levels were found to be influenced by triglyceride levels, whereas the erythrocyte Omega-3 Index was not.

Why it matters

This study provides an estimated target erythrocyte Omega-3 Index of approximately 7% corresponding to the cardioprotective benefits seen in REDUCE-IT, while indicating that plasma EPA measurements are confounded by circulating triglycerides.

Limits

The study did not directly measure erythrocyte fatty acids in the REDUCE-IT cohort; findings rely entirely on mathematical modeling and proxy laboratory data. Precision and confidence intervals for the estimations were not reported in the abstract.

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