BACKGROUND: Increased emphasis on cost and productivity in apheresis centers calls for a proficient and predictable hematopoietic progenitor cell (HPC) collection. Therefore, the aim of this study was to determine the value of a customized predictive algorithm that estimates how many blood volumes are required to process for a targeted CD34 cell dose. STUDY DESIGN AND METHODS: Retrospective analysis was performed on 107 HPC collections completed on the Spectra Optia MNC from January 2013 to June 2014 in 51 patients and 12 donors. In December 2014, a prediction algorithm was implemented, designed from data acquired since January 2013, by linear regression of preapheresis CD34 cell counts (pre-CD34) versus collected CD34 cell dose per volume blood processed. RESULTS: CD34 collection efficiencies (CE2) of 51.9 ± 1.7% (mean ± SEM) and 57.5 ± 3.0% were observed in autologous and allogeneic procedures, respectively. After implementation of the algorithm, the mean number of collections per patient declined from 1.97 to 1.5. Accordingly, the frequency of patients requiring single-day collections increased from 35% to 57%. All donors were collected in single procedures, although only 12.2 ± 1.1 L blood was processed, including for National Marrow Donor Program collections. Cumulative procedure time, processed blood volume, product volume, infused anticoagulant volume, and symptomatic calcium administration decreased in patients, and overcollection was limited. CONCLUSION: A prediction algorithm can provide great value in the planning of leukapheresis, which may optimize resource utilization and capacity of the unit. In addition, predictability was facilitated by a proficient and consistent performance of the Spectra Optia MNC.
BACKGROUND: Increased emphasis on cost and productivity in apheresis centers calls for a proficient and predictable hematopoietic progenitor cell (HPC) collection. Therefore, the aim of this study was to determine the value of a customized predictive algorithm that estimates how many blood volumes are required to process for a targeted CD34 cell dose. STUDY DESIGN AND METHODS: Retrospective analysis was performed on 107 HPC collections completed on the Spectra Optia MNC from January 2013 to June 2014 in 51 patients and 12 donors. In December 2014, a prediction algorithm was implemented, designed from data acquired since January 2013, by linear regression of preapheresis CD34 cell counts (pre-CD34) versus collected CD34 cell dose per volume blood processed. RESULTS:CD34 collection efficiencies (CE2) of 51.9 ± 1.7% (mean ± SEM) and 57.5 ± 3.0% were observed in autologous and allogeneic procedures, respectively. After implementation of the algorithm, the mean number of collections per patient declined from 1.97 to 1.5. Accordingly, the frequency of patients requiring single-day collections increased from 35% to 57%. All donors were collected in single procedures, although only 12.2 ± 1.1 L blood was processed, including for National Marrow Donor Program collections. Cumulative procedure time, processed blood volume, product volume, infused anticoagulant volume, and symptomatic calcium administration decreased in patients, and overcollection was limited. CONCLUSION: A prediction algorithm can provide great value in the planning of leukapheresis, which may optimize resource utilization and capacity of the unit. In addition, predictability was facilitated by a proficient and consistent performance of the Spectra Optia MNC.