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Article: A simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study

TitleA simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study
Authors
Keywordscalculated panel reactive antibody
organ allocation
renal transplantation
sensitization
unacceptable antigen
virtual cross-match
Issue Date2017
PublisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1432-2277
Citation
Transplant International, 2017, v. 30 n. 12, p. 1234-1242 How to Cite?
AbstractCalculated panel reactive antibody (cPRA) represents possibility of encountering an incompatible donor for organ transplant candidates and has gradually replaced traditional PRA as a measurement of sensitization level. We tested two cPRA calculation methods on a cohort of renal candidate (n = 613). HLA typing of 563 Chinese deceased renal donors was used to estimate allele and haplotype frequencies of Hong Kong donor pool. The OPTN formula was adopted to generate cPRA (cPRA (freq)). We also incorporated a computer script to compare unacceptable antigens of patients against HLA phenotype of donors. The cPRA based on historical donor filtering was the percentage of filter out count over total number of donors (cPRA (filter)). Values of cPRA (freq) and cPRA (filter) showed almost perfect agreement with Lin's correlation coefficient equal to 1.000. SD of bias was 0.6 cPRA point. Limit of agreement was 0.9 to -1.5 points difference. Furthermore, the poor agreement between our in-house cPRA and values from other online calculators indicated the necessity to use local population data for accurate cPRA calculation. Built-in donor filtering method was more practicable for Hong Kong due to factors such as cost and flexibility. An on-going donor pool can reflect population allele frequencies and permits efficient periodic update of cPRA.
Persistent Identifierhttp://hdl.handle.net/10722/248483
ISSN
2023 Impact Factor: 2.7
2023 SCImago Journal Rankings: 0.899
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChan, YP-
dc.contributor.authorWong, MWK-
dc.contributor.authorTang, LWM-
dc.contributor.authorGUO, M-
dc.contributor.authorYang, W-
dc.contributor.authorIp, P-
dc.contributor.authorLi, PKT-
dc.contributor.authorLeung, CB-
dc.contributor.authorChau, KF-
dc.contributor.authorLam, JCK-
dc.contributor.authorYeung, NKM-
dc.contributor.authorKwok, JSY-
dc.date.accessioned2017-10-18T08:43:54Z-
dc.date.available2017-10-18T08:43:54Z-
dc.date.issued2017-
dc.identifier.citationTransplant International, 2017, v. 30 n. 12, p. 1234-1242-
dc.identifier.issn0934-0874-
dc.identifier.urihttp://hdl.handle.net/10722/248483-
dc.description.abstractCalculated panel reactive antibody (cPRA) represents possibility of encountering an incompatible donor for organ transplant candidates and has gradually replaced traditional PRA as a measurement of sensitization level. We tested two cPRA calculation methods on a cohort of renal candidate (n = 613). HLA typing of 563 Chinese deceased renal donors was used to estimate allele and haplotype frequencies of Hong Kong donor pool. The OPTN formula was adopted to generate cPRA (cPRA (freq)). We also incorporated a computer script to compare unacceptable antigens of patients against HLA phenotype of donors. The cPRA based on historical donor filtering was the percentage of filter out count over total number of donors (cPRA (filter)). Values of cPRA (freq) and cPRA (filter) showed almost perfect agreement with Lin's correlation coefficient equal to 1.000. SD of bias was 0.6 cPRA point. Limit of agreement was 0.9 to -1.5 points difference. Furthermore, the poor agreement between our in-house cPRA and values from other online calculators indicated the necessity to use local population data for accurate cPRA calculation. Built-in donor filtering method was more practicable for Hong Kong due to factors such as cost and flexibility. An on-going donor pool can reflect population allele frequencies and permits efficient periodic update of cPRA.-
dc.languageeng-
dc.publisherWiley-Blackwell Publishing Ltd. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1432-2277-
dc.relation.ispartofTransplant International-
dc.rightsPreprint This is the pre-peer reviewed version of the following article: [FULL CITE], which has been published in final form at [Link to final article]. Authors are not required to remove preprints posted prior to acceptance of the submitted version. Postprint This is the accepted version of the following article: [full citation], which has been published in final form at [Link to final article]. -
dc.subjectcalculated panel reactive antibody-
dc.subjectorgan allocation-
dc.subjectrenal transplantation-
dc.subjectsensitization-
dc.subjectunacceptable antigen-
dc.subjectvirtual cross-match-
dc.titleA simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study-
dc.typeArticle-
dc.identifier.emailYang, W: yangwl@hkucc.hku.hk-
dc.identifier.emailIp, P: patricip@hku.hk-
dc.identifier.emailKwok, JSY: kwoksy@hkucc.hku.hk-
dc.identifier.authorityYang, W=rp00524-
dc.identifier.authorityIp, P=rp01337-
dc.identifier.doi10.1111/tri.13015-
dc.identifier.scopuseid_2-s2.0-85028469921-
dc.identifier.hkuros280329-
dc.identifier.volume30-
dc.identifier.issue12-
dc.identifier.spage1234-
dc.identifier.epage1242-
dc.identifier.isiWOS:000415890900006-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl0934-0874-

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