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- Publisher Website: 10.1111/tri.13015
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Article: A simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study
Title | A simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study |
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Authors | |
Keywords | calculated panel reactive antibody organ allocation renal transplantation sensitization unacceptable antigen virtual cross-match |
Issue Date | 2017 |
Publisher | Wiley-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? |
Abstract | Calculated 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 Identifier | http://hdl.handle.net/10722/248483 |
ISSN | 2023 Impact Factor: 2.7 2023 SCImago Journal Rankings: 0.899 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chan, YP | - |
dc.contributor.author | Wong, MWK | - |
dc.contributor.author | Tang, LWM | - |
dc.contributor.author | GUO, M | - |
dc.contributor.author | Yang, W | - |
dc.contributor.author | Ip, P | - |
dc.contributor.author | Li, PKT | - |
dc.contributor.author | Leung, CB | - |
dc.contributor.author | Chau, KF | - |
dc.contributor.author | Lam, JCK | - |
dc.contributor.author | Yeung, NKM | - |
dc.contributor.author | Kwok, JSY | - |
dc.date.accessioned | 2017-10-18T08:43:54Z | - |
dc.date.available | 2017-10-18T08:43:54Z | - |
dc.date.issued | 2017 | - |
dc.identifier.citation | Transplant International, 2017, v. 30 n. 12, p. 1234-1242 | - |
dc.identifier.issn | 0934-0874 | - |
dc.identifier.uri | http://hdl.handle.net/10722/248483 | - |
dc.description.abstract | Calculated 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.language | eng | - |
dc.publisher | Wiley-Blackwell Publishing Ltd. The Journal's web site is located at http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1432-2277 | - |
dc.relation.ispartof | Transplant International | - |
dc.rights | Preprint 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.subject | calculated panel reactive antibody | - |
dc.subject | organ allocation | - |
dc.subject | renal transplantation | - |
dc.subject | sensitization | - |
dc.subject | unacceptable antigen | - |
dc.subject | virtual cross-match | - |
dc.title | A simplified method of calculating cPRA for kidney allocation application in Hong Kong: a retrospective study | - |
dc.type | Article | - |
dc.identifier.email | Yang, W: yangwl@hkucc.hku.hk | - |
dc.identifier.email | Ip, P: patricip@hku.hk | - |
dc.identifier.email | Kwok, JSY: kwoksy@hkucc.hku.hk | - |
dc.identifier.authority | Yang, W=rp00524 | - |
dc.identifier.authority | Ip, P=rp01337 | - |
dc.identifier.doi | 10.1111/tri.13015 | - |
dc.identifier.scopus | eid_2-s2.0-85028469921 | - |
dc.identifier.hkuros | 280329 | - |
dc.identifier.volume | 30 | - |
dc.identifier.issue | 12 | - |
dc.identifier.spage | 1234 | - |
dc.identifier.epage | 1242 | - |
dc.identifier.isi | WOS:000415890900006 | - |
dc.publisher.place | United Kingdom | - |
dc.identifier.issnl | 0934-0874 | - |