Predictive Model of variable laboratory findings calculation and monitoring during plasmapheresis procedures
Plasma donation has not only its risks but also benefits such as improved lipoprotein profile.
This model would help to track metabolic changes in donors blood thus ensuring plasmapheresis procedures are safe.
People interest in plasma donation may rise if they are provided valuable insights about their health and metabolism status.
Improving leads to more scientific and practical gains.
The predictive model of possible cholesterol and its fractions concentration fluctuations during the plasma donation period was designed according to the study by Rosa-Bray M. and team [1]. The model represents only approximate and demonstrative values. It was developed to show the beneficial possibilities if installed in the software of plasmapheresis systems and after further development would work on actual donor data with additional features for microelements, like Zinc; proteins; lipophilic toxins and etc. Primary model is going to be updated in accordance to following studies, our project scientists are currently working on possible model development*. Get started.
[1] Rosa-Bray M, Wisdom C, Wada S, Johnson BR, Grifols-Roura V, Grifols-Lucas V. Prospective multicentre study of the effect of voluntary plasmapheresis on plasma cholesterol levels in donors. Vox Sanguinis. 2013; 105: 108–115.
* Assuming plasma donors are healthy people and their nutritional status is adequate, according to the dieticians guidelines (Mette et al, 2022), no additional exemptions are required for estimated calculation at this point.