Background/Case Studies: Efficient leukapheresis from healthy donors is vital for generating Leukopacks that meet research and therapeutic cell count targets. However, variability in white blood cell (WBC) counts between and within individuals presents challenges in predicting collection success.
Study
Design/Methods: This study outlines predictive parameters for identifying optimal contributors and introduces an algorithm to standardize donor selection. Estimated total blood volume (TBV), calculated using the Nadler formula, was evaluated as a predictor of total nucleated cell (TNC) yield, along with vein suitability. Safety analyses were conducted based on apheresis session durations and associated adverse events. An algorithm was developed that incorporates TBV and vein assessment to assign a suitability score ranging from A (high likelihood of success) to F (very unlikely).
Results/Findings: The primary determinant of TNC yield was the volume of blood processed, with a minimum threshold of 7,000 mL correlating with successful collections in most cases. Processing up to 1.5× TBV optimized yield while maintaining donor safety. Sessions exceeding 180 minutes were associated with increased moderate citrate reactions and vasovagal responses. The algorithm demonstrated 81% accuracy in predicting successful collections when 1.5× TBV was processed, and 95% of donors scored B or higher met the cellular target.
Conclusions: Estimated TBV and vein suitability are reliable predictors of leukapheresis success. The proposed algorithm effectively identifies donors likely to meet collection goals while minimizing risks. Implementation of this tool can improve donor selection and scheduling, leading to safer and more efficient Leukopack production.
