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1.
J Clin Apher ; 39(3): e22127, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38803152

RESUMO

BACKGROUND: Increasing indications for cellular therapy collections have stressed our healthcare system, with autologous collections having a longer than desired wait time until apheresis collection. This quality improvement initiative was undertaken to accommodate more patients within existing resources. STUDY DESIGN AND METHODS: Patients with multiple myeloma who underwent autologous peripheral blood stem cell collection from October 2022 to April 2023 were included. Demographic, mobilization, laboratory, and apheresis data were retrospectively collected from the medical record. RESULTS: This cohort included 120 patients (49.2% male), with a median age of 60 years. All received G-CSF and 95% received pre-emptive Plerixafor approximately 18 hours pre-collection. Most (79%) had collection goals of at least 8 × 106/kg CD34 cells, with 63% over 70 years old having this high collection goal (despite 20 years of institutional data showing <1% over 70 years old have a second transplant). With collection efficiencies of 55.9%, 44% of patients achieved their collection goal in a single day apheresis collection. A platelet count <150 × 103/µL on the day of collection was a predictor for poor mobilization; among 27 patients with a low baseline platelet count, 17 did not achieve the collection goal and 2 failed to collect a transplantable dose. CONCLUSIONS: With minor collection goal adjustments, 15% of all collection appointments could have been avoided over this 6-month period. Other strategies to accommodate more patients include mobilization modifications (Plerixafor timing or substituting a longer acting drug), utilizing platelet counts to predict mobilization, and modifying apheresis collection volumes or schedule templates.


Assuntos
Benzilaminas , Ciclamos , Fator Estimulador de Colônias de Granulócitos , Mobilização de Células-Tronco Hematopoéticas , Mieloma Múltiplo , Transplante Autólogo , Humanos , Mieloma Múltiplo/terapia , Ciclamos/farmacologia , Ciclamos/uso terapêutico , Pessoa de Meia-Idade , Masculino , Feminino , Fator Estimulador de Colônias de Granulócitos/administração & dosagem , Mobilização de Células-Tronco Hematopoéticas/métodos , Idoso , Estudos Retrospectivos , Remoção de Componentes Sanguíneos/métodos , Compostos Heterocíclicos/administração & dosagem , Compostos Heterocíclicos/uso terapêutico , Adulto , Transplante de Células-Tronco de Sangue Periférico/métodos , Contagem de Plaquetas
2.
Sci Rep ; 7(1): 1997, 2017 05 17.
Artigo em Inglês | MEDLINE | ID: mdl-28515450

RESUMO

The enrichment of viable cells is an essential step to obtain effective products for cell therapy. While procedures exist to characterize the viability of cells, most methods to exclude nonviable cells require the use of density gradient centrifugation or antibody-based cell sorting with molecular labels of cell viability. We report a label-free microfluidic technique to separate live and dead cells that exploits differences in cellular stiffness. The device uses a channel with repeated ridges that are diagonal with respect to the direction of cell flow. Stiff nonviable cells directed through the channel are compressed and translated orthogonally to the channel length, while soft live cells follow hydrodynamic flow. As a proof of concept, Jurkat cells are enriched to high purity of viable cells by a factor of 185-fold. Cell stiffness was validated as a sorting parameter as nonviable cells were substantially stiffer than live cells. To highlight the utility for hematopoietic stem cell transplantation, frozen samples of cord blood were thawed and the purity of viable nucleated cells was increased from 65% to over 94% with a recovery of 73% of the viable cells. Thus, the microfluidic stiffness sorting can simply and efficiently obtain highly pure populations of viable cells.


Assuntos
Separação Celular , Sobrevivência Celular , Técnicas Analíticas Microfluídicas , Microfluídica , Separação Celular/métodos , Sangue Fetal/citologia , Humanos , Células Jurkat , Microfluídica/métodos , Razão de Chances , Curva ROC
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