Collection efficiency of mononuclear cells in offline extracorporeal photopheresis: can processing time be shortened?


Journal

Blood transfusion = Trasfusione del sangue
ISSN: 2385-2070
Titre abrégé: Blood Transfus
Pays: Italy
ID NLM: 101237479

Informations de publication

Date de publication:
14 Jul 2023
Historique:
received: 13 05 2023
accepted: 08 06 2023
medline: 17 7 2023
pubmed: 17 7 2023
entrez: 17 7 2023
Statut: aheadofprint

Résumé

Extracorporeal photopheresis (ECP) is a well-established but lengthy and burdensome cell-based therapy for various diseases such as cutaneous T-cell lymphoma, graft-versus-host disease and organ rejection after transplantation. The number of mononuclear cells (MNCs) that needs to be collected to obtain a clinical response to ECP is still under debate. The purpose of this retrospective study was to determine the number of lymphocytes, monocytes and neutrophils in mononuclear cell products (MCP) by flow cytometry and the collection efficiency in the offline ECP setting. We collected data from 10 different patients undergoing 162 ECP procedures using the Spectra Optia device for MNC collection. White blood cell (WBC) count of MCP was determined using a hematology analyzer. MNCs were analyzed for CD45 and CD14 expression by flow cytometry to exactly determine the collected lymphocyte and monocyte fractions. Collected MCP showed high cell yields with 55.3×10 This study is one of a few reports showing the monocyte-to-lymphocyte relation in MCP for ECP determined by flow cytometry. In comparison to historical data from inline ECP, the offline ECP processing one total blood volume results in considerably higher cell yields. For this reason, and to reduce the burden on patients, we propose that the offline ECP processing time can be substantially reduced.

Sections du résumé

BACKGROUND BACKGROUND
Extracorporeal photopheresis (ECP) is a well-established but lengthy and burdensome cell-based therapy for various diseases such as cutaneous T-cell lymphoma, graft-versus-host disease and organ rejection after transplantation. The number of mononuclear cells (MNCs) that needs to be collected to obtain a clinical response to ECP is still under debate. The purpose of this retrospective study was to determine the number of lymphocytes, monocytes and neutrophils in mononuclear cell products (MCP) by flow cytometry and the collection efficiency in the offline ECP setting.
MATERIALS AND METHODS METHODS
We collected data from 10 different patients undergoing 162 ECP procedures using the Spectra Optia device for MNC collection. White blood cell (WBC) count of MCP was determined using a hematology analyzer. MNCs were analyzed for CD45 and CD14 expression by flow cytometry to exactly determine the collected lymphocyte and monocyte fractions.
RESULTS RESULTS
Collected MCP showed high cell yields with 55.3×10
DISCUSSION CONCLUSIONS
This study is one of a few reports showing the monocyte-to-lymphocyte relation in MCP for ECP determined by flow cytometry. In comparison to historical data from inline ECP, the offline ECP processing one total blood volume results in considerably higher cell yields. For this reason, and to reduce the burden on patients, we propose that the offline ECP processing time can be substantially reduced.

Identifiants

pubmed: 37458722
pii: BloodTransfus.442
doi: 10.2450/BloodTransfus.442
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Orkan Kartal (O)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Nadja Lindlbauer (N)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Sandra Laner-Plamberger (S)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Eva Rohde (E)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Fabian Foettinger (F)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Laura Ombres (L)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Georg Zimmermann (G)

Team Biostatistics and Big Medical Data, IDA Lab, Paracelsus Medical University Salzburg, Salzburg, Austria.
Research and Innovation Management, Paracelsus Medical University Salzburg, Salzburg, Austria.

Cornelia Mrazek (C)

Department of Laboratory Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Wanda Lauth (W)

Team Biostatistics and Big Medical Data, IDA Lab, Paracelsus Medical University Salzburg, Salzburg, Austria.
Research and Innovation Management, Paracelsus Medical University Salzburg, Salzburg, Austria.

Christoph Grabmer (C)

Department of Transfusion Medicine, Paracelsus Medical University Hospital Salzburg, Salzburg, Austria.

Classifications MeSH