PMID- 30577170
OWN - NLM
STAT- MEDLINE
DCOM- 20190213
LR  - 20190215
IS  - 1873-2623 (Electronic)
IS  - 0041-1345 (Linking)
VI  - 50
IP  - 10
DP  - 2018 Dec
TI  - Optimal Donor Selection During Verification Process: Which Factors Are Worth 
      Knowing?
PG  - 3082-3087
LID - S0041-1345(18)31186-2 [pii]
LID - 10.1016/j.transproceed.2018.08.043 [doi]
AB  - BACKGROUND: The selection of optimal donor is crucial for successful 
      hematopoietic stem cell transplantation (HSCT). Thereby, it is appropriate to 
      know, in addition to basic human leukocyte antigen (HLA) gene matches, other 
      immunogenic or nonimmunogenic parameters predicting the outcome of transplant. 
      OBJECTIVE: A unified approach is necessary to provide a comprehensive view of the 
      patient-donor compatibility characterization outside of standard HLA genes. The 
      approach should be applicable as a tool for optimizing procedures for extended 
      donor typing and/or verification typing of a donor. METHODS: The study used the 
      summary, unification, and innovation of existing practical knowledge and 
      experience of the Czech National Marrow Donor Registry of various factors beyond 
      HLA matching with impact on transplant outcome. RESULTS: An information 
      technology system-implemented procedure (a verification algorithm) is presented 
      as the decision support approach for prematurely discarding less suitable donors 
      from the transplantation process. It is intended primarily for the transplant 
      specialist to help establish optimal procedures for verifying and determining 
      donor critical factors. CONCLUSIONS: A process defining HLAs, killer cell 
      immunoglobulin-like receptors, and cytokine typing strategies was proposed to 
      provide support to a transplant specialist in refining the choice of a suitable 
      donor.
CI  - Copyright (c) 2018 Elsevier Inc. All rights reserved.
FAU - Houdova, L
AU  - Houdova L
AD  - New Technologies for the Information Society, University of West Bohemia, Plzen, 
      Czech Republic. Electronic address: houdina@ntis.zcu.cz.
FAU - Fetter, M
AU  - Fetter M
AD  - New Technologies for the Information Society, University of West Bohemia, Plzen, 
      Czech Republic.
FAU - Jindra, P
AU  - Jindra P
AD  - Biomedical Center, Faculty of Medicine in Pilsen, Charles University in Prague, 
      Plzen, Czech Republic; Charles University Hospital Pilsen, Plzen, Czech Republic.
FAU - Georgiev, D
AU  - Georgiev D
AD  - New Technologies for the Information Society, University of West Bohemia, Plzen, 
      Czech Republic.
LA  - eng
PT  - Journal Article
DEP - 20180907
PL  - United States
TA  - Transplant Proc
JT  - Transplantation proceedings
JID - 0243532
RN  - 0 (HLA Antigens)
RN  - 0 (Receptors, KIR)
SB  - IM
MH  - *Algorithms
MH  - Czechoslovakia
MH  - *Decision Support Systems, Clinical
MH  - Donor Selection/*methods
MH  - HLA Antigens/immunology
MH  - Hematopoietic Stem Cell Transplantation/*methods
MH  - Histocompatibility Testing/methods
MH  - Humans
MH  - Receptors, KIR/immunology
MH  - Registries
EDAT- 2018/12/24 06:00
MHDA- 2019/02/14 06:00
CRDT- 2018/12/23 06:00
PHST- 2017/12/20 00:00 [received]
PHST- 2018/07/31 00:00 [revised]
PHST- 2018/08/16 00:00 [accepted]
PHST- 2018/12/23 06:00 [entrez]
PHST- 2018/12/24 06:00 [pubmed]
PHST- 2019/02/14 06:00 [medline]
AID - S0041-1345(18)31186-2 [pii]
AID - 10.1016/j.transproceed.2018.08.043 [doi]
PST - ppublish
SO  - Transplant Proc. 2018 Dec;50(10):3082-3087. doi: 
      10.1016/j.transproceed.2018.08.043. Epub 2018 Sep 7.