Predictive Model of variable laboratory findings calculation and monitoring during plasmapheresis procedures

Abstract

Background: There are significant benefits for patients receiving plasma or plasma derived medicinal products, but for donors undergoing plasmapheresis, benefits are poorly researched and defined. A study by Rosa-Bray et al. [2013] describes findings of reduced levels of low-density lipoprotein (LDL) and increased yield of high-density lipoprotein after plasmapheresis in donors’ samples. Our article aims to address some of the feasible investigative options, based on Rosa-Bray’ findings, by proposing new theoretical computing “Predictive Model of variable laboratory findings calculation and monitoring during plasmapheresis procedures”, which highlights cholesterol metabolism changes. Methods: Literature review was performed using National Center for Biotechnology Information (NCBI) Literature Resources based on thematic analysis with keywords: “lipoproteins in plasma”, “cholesterol chemistry”, “plasma donors and lipoproteins”, “plasmapheresis and lipids”. Filters for full text, original study, review and metanalysis, not older than 10 years were selected. The literature search was performed during 5 March to 10 June 2024. Seventy-six available sources were found and 58 were left for final revision. Custom programming with web technologies was used—HTML, CSS, Javascript. Following libraries were used to create the program—amCharts, Google Charts, Bootstrap. All programming work was done with Visual Studio Code software. Results: The created and proposed theoretical model can be accessed using active link—http://lpmc.labdata.lt/. It was developed to show the beneficial possibilities if installed in the software during plasmapheresis and after. Further development to obtain the model into routine practice would work on actual donor data with additional features for microelements. Conclusions: The created theoretical model will work for laboratory monitoring serial results during the plasmapheresis procedures with demonstration of possible changes in plasma highlights the potential benefits of plasmapheresis. The Predictive Model emphasizes possible insights for cholesterol metabolism with further proposals on proteins, microelements and enzymes monitoring.