Pingel, A*
Dotaz
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According to the Standards of the World Marrow Donor Association (WMDA), unrelated stem cell donor registries and donor centers are responsible for compliance of their collection and apheresis centers with these Standards. To ensure high stem cell product quality and high standards for safety and satisfaction of voluntary unrelated stem cell donors, we here present guidelines for audits of collection and apheresis centers that can be used by new and established donor registries, as well as by collection centers in preparation of audits. We define the general requirements and recommendations for collaboration with the collection and apheresis centers and define critical procedures for the collection of the stem cell product, such as information session, medical assessment, product collection, quality controls, product handover for transportation, and donor follow-up. The specific guidelines are accompanied by detailed checklists and forms that can be found in Supplementary Information and may be used during an initial or follow-up on-site or paper-based audit.
- MeSH
- audit řízení MeSH
- dárci tkání MeSH
- krevní banky normy MeSH
- lidé MeSH
- registrace normy MeSH
- řízení kvality * MeSH
- separace krevních složek normy MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- směrnice MeSH
The accuracy of human leukocyte antigen (HLA)-matching algorithms is a prerequisite for the correct and efficient identification of optimal unrelated donors for patients requiring hematopoietic stem cell transplantation. The goal of this World Marrow Donor Association study was to validate established matching algorithms from different international donor registries by challenging them with simulated input data and subsequently comparing the output. This experiment addressed three specific aspects of HLA matching using different data sets for tasks of increasing complexity. The first two tasks targeted the traditional matching approach identifying discrepancies between patient and donor HLA genotypes by counting antigen and allele differences. Contemporary matching procedures predicting the probability for HLA identity using haplotype frequencies were addressed by the third task. In each task, the identified disparities between the results of the participating computer programs were analyzed, classified and quantified. This study led to a deep understanding of the algorithms participating and finally produced virtually identical results. The unresolved discrepancies total to less than 1%, 4% and 2% for the three tasks and are mostly because of individual decisions in the design of the programs. Based on these findings, reference results for the three input data sets were compiled that can be used to validate future matching algorithms and thus improve the quality of the global donor search process.
- MeSH
- alely * MeSH
- algoritmy * MeSH
- datové soubory jako téma MeSH
- frekvence genu MeSH
- haplotypy MeSH
- HLA antigeny klasifikace genetika imunologie MeSH
- homologní transplantace MeSH
- lidé MeSH
- nepříbuzný dárce MeSH
- příjemce transplantátu MeSH
- registrace * MeSH
- testování histokompatibility MeSH
- transplantace hematopoetických kmenových buněk * MeSH
- transplantace kmenových buněk z pupečníkové krve * MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
- srovnávací studie MeSH
- MeSH
- diabetické neuropatie patofyziologie MeSH
- glykovaný hemoglobin analýza MeSH
- lidé MeSH
- nervus suralis patologie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- komentáře MeSH
- souhrny MeSH
