Deceased donor kidney transplantation in New Zealand: use and audit of a survival prediction tool
New Zealand follows the guideline that only patients with projected five-year survival of 80% are listed for deceased donor kidney transplantation. An algorithm derived from US data estimates survival after transplantation, however, this may not be as applicable to the New Zealand population. We rev...
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| Veröffentlicht in: | New Zealand medical journal 2017-10, Vol.130 (1464), p.33-39 |
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| creator | Dowen, Frances Cross, Nicholas Clayton, Philip Pilmore, Helen |
| description | New Zealand follows the guideline that only patients with projected five-year survival of 80% are listed for deceased donor kidney transplantation. An algorithm derived from US data estimates survival after transplantation, however, this may not be as applicable to the New Zealand population. We review use of the US derived algorithm in New Zealand. We assessed accuracy of scores calculated by referring units and audited whether the system is applied in New Zealand.
Data on 422 patients assessed for transplantation was entered into the algorithm to calculate a projected survival score. Scores were generated by an independent investigator and compared with those calculated by local units. Scores and demographics of listed and not-listed patients were also compared.
Three hundred and twenty-five of 420 (77%) patients assessed were accepted onto the New Zealand transplant list. Mean estimated five-year survival in listed patients was 89.4% compared to 79.8% in those not accepted (p |
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Data on 422 patients assessed for transplantation was entered into the algorithm to calculate a projected survival score. Scores were generated by an independent investigator and compared with those calculated by local units. Scores and demographics of listed and not-listed patients were also compared.
Three hundred and twenty-five of 420 (77%) patients assessed were accepted onto the New Zealand transplant list. Mean estimated five-year survival in listed patients was 89.4% compared to 79.8% in those not accepted (p<0.0001). Listed patients were younger and less likely to have coronary artery disease (CAD). There was no significant difference in scores calculated by the independent assessor and referring centres (p=0.185).
The algorithm is universally and accurately used. Future studies are required to determine the validity of the system in New Zealand patients.</description><identifier>EISSN: 1175-8716</identifier><identifier>PMID: 29073655</identifier><language>eng</language><publisher>New Zealand: Pasifika Medical Association Group (PMAG)</publisher><subject>Algorithms ; Cadaver ; Cardiovascular disease ; Comorbidity ; Coronary vessels ; Data collection ; Diabetes ; Eligibility Determination ; Employment ; Female ; Hemodialysis ; Hospitals ; Humans ; Kidney diseases ; Kidney Failure, Chronic - complications ; Kidney Failure, Chronic - etiology ; Kidney Failure, Chronic - mortality ; Kidney Failure, Chronic - surgery ; Kidney Transplantation - mortality ; Kidney transplants ; Male ; Medical Audit ; Middle Aged ; Mortality ; New Zealand ; Patients ; Renal replacement therapy ; Risk Assessment - methods ; Tissue Donors ; Transplants & implants</subject><ispartof>New Zealand medical journal, 2017-10, Vol.130 (1464), p.33-39</ispartof><rights>Copyright New Zealand Medical Association (NZMA) Oct 27, 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29073655$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dowen, Frances</creatorcontrib><creatorcontrib>Cross, Nicholas</creatorcontrib><creatorcontrib>Clayton, Philip</creatorcontrib><creatorcontrib>Pilmore, Helen</creatorcontrib><title>Deceased donor kidney transplantation in New Zealand: use and audit of a survival prediction tool</title><title>New Zealand medical journal</title><addtitle>N Z Med J</addtitle><description>New Zealand follows the guideline that only patients with projected five-year survival of 80% are listed for deceased donor kidney transplantation. An algorithm derived from US data estimates survival after transplantation, however, this may not be as applicable to the New Zealand population. We review use of the US derived algorithm in New Zealand. We assessed accuracy of scores calculated by referring units and audited whether the system is applied in New Zealand.
Data on 422 patients assessed for transplantation was entered into the algorithm to calculate a projected survival score. Scores were generated by an independent investigator and compared with those calculated by local units. Scores and demographics of listed and not-listed patients were also compared.
Three hundred and twenty-five of 420 (77%) patients assessed were accepted onto the New Zealand transplant list. Mean estimated five-year survival in listed patients was 89.4% compared to 79.8% in those not accepted (p<0.0001). Listed patients were younger and less likely to have coronary artery disease (CAD). There was no significant difference in scores calculated by the independent assessor and referring centres (p=0.185).
The algorithm is universally and accurately used. Future studies are required to determine the validity of the system in New Zealand patients.</description><subject>Algorithms</subject><subject>Cadaver</subject><subject>Cardiovascular disease</subject><subject>Comorbidity</subject><subject>Coronary vessels</subject><subject>Data collection</subject><subject>Diabetes</subject><subject>Eligibility Determination</subject><subject>Employment</subject><subject>Female</subject><subject>Hemodialysis</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Kidney diseases</subject><subject>Kidney Failure, Chronic - complications</subject><subject>Kidney Failure, Chronic - etiology</subject><subject>Kidney Failure, Chronic - mortality</subject><subject>Kidney Failure, Chronic - surgery</subject><subject>Kidney Transplantation - mortality</subject><subject>Kidney transplants</subject><subject>Male</subject><subject>Medical Audit</subject><subject>Middle Aged</subject><subject>Mortality</subject><subject>New Zealand</subject><subject>Patients</subject><subject>Renal replacement therapy</subject><subject>Risk Assessment - methods</subject><subject>Tissue Donors</subject><subject>Transplants & implants</subject><issn>1175-8716</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkE9LxDAQxYMg7rr6FSTgxUuhSZum8SbrX1j0sicvZbYzgazdpibtyn57g64XT294_N7weCdsLoRWWa1FNWPnMW7zXCpl8jM2kybXRaXUnME9tQSRkKPvfeAfDns68DFAH4cO-hFG53vuev5KX_ydIHl4y6dIPB0cJnQj95YDj1PYuz10fAiErv2Jjd53F-zUQhfp8qgLtn58WC-fs9Xb08vybpUNsjBj1laiNAVRLbE1FjYKrMRSIIG1CKiVltYUpRS6LGsstEgIKlCEpt7oqliwm9-3Q_CfE8Wx2bnYUpf6kp9iI4zSpdYpndDrf-jWT6FP5RqZK6krlUuZqKsjNW12hM0Q3A7CofnbrvgGkoZqag</recordid><startdate>20171027</startdate><enddate>20171027</enddate><creator>Dowen, Frances</creator><creator>Cross, Nicholas</creator><creator>Clayton, Philip</creator><creator>Pilmore, Helen</creator><general>Pasifika Medical Association Group (PMAG)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AYAGU</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20171027</creationdate><title>Deceased donor kidney transplantation in New Zealand: use and audit of a survival prediction tool</title><author>Dowen, Frances ; Cross, Nicholas ; Clayton, Philip ; Pilmore, Helen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p239t-c61493ee82dc9fab5af2d41deaffdad7572f934217448d371ab5d5a5ed98b763</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Algorithms</topic><topic>Cadaver</topic><topic>Cardiovascular disease</topic><topic>Comorbidity</topic><topic>Coronary vessels</topic><topic>Data collection</topic><topic>Diabetes</topic><topic>Eligibility Determination</topic><topic>Employment</topic><topic>Female</topic><topic>Hemodialysis</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Kidney diseases</topic><topic>Kidney Failure, Chronic - complications</topic><topic>Kidney Failure, Chronic - etiology</topic><topic>Kidney Failure, Chronic - mortality</topic><topic>Kidney Failure, Chronic - surgery</topic><topic>Kidney Transplantation - mortality</topic><topic>Kidney transplants</topic><topic>Male</topic><topic>Medical Audit</topic><topic>Middle Aged</topic><topic>Mortality</topic><topic>New Zealand</topic><topic>Patients</topic><topic>Renal replacement therapy</topic><topic>Risk Assessment - methods</topic><topic>Tissue Donors</topic><topic>Transplants & implants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dowen, Frances</creatorcontrib><creatorcontrib>Cross, Nicholas</creatorcontrib><creatorcontrib>Clayton, Philip</creatorcontrib><creatorcontrib>Pilmore, Helen</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Australia & New Zealand Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>New Zealand medical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dowen, Frances</au><au>Cross, Nicholas</au><au>Clayton, Philip</au><au>Pilmore, Helen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Deceased donor kidney transplantation in New Zealand: use and audit of a survival prediction tool</atitle><jtitle>New Zealand medical journal</jtitle><addtitle>N Z Med J</addtitle><date>2017-10-27</date><risdate>2017</risdate><volume>130</volume><issue>1464</issue><spage>33</spage><epage>39</epage><pages>33-39</pages><eissn>1175-8716</eissn><abstract>New Zealand follows the guideline that only patients with projected five-year survival of 80% are listed for deceased donor kidney transplantation. An algorithm derived from US data estimates survival after transplantation, however, this may not be as applicable to the New Zealand population. We review use of the US derived algorithm in New Zealand. We assessed accuracy of scores calculated by referring units and audited whether the system is applied in New Zealand.
Data on 422 patients assessed for transplantation was entered into the algorithm to calculate a projected survival score. Scores were generated by an independent investigator and compared with those calculated by local units. Scores and demographics of listed and not-listed patients were also compared.
Three hundred and twenty-five of 420 (77%) patients assessed were accepted onto the New Zealand transplant list. Mean estimated five-year survival in listed patients was 89.4% compared to 79.8% in those not accepted (p<0.0001). Listed patients were younger and less likely to have coronary artery disease (CAD). There was no significant difference in scores calculated by the independent assessor and referring centres (p=0.185).
The algorithm is universally and accurately used. Future studies are required to determine the validity of the system in New Zealand patients.</abstract><cop>New Zealand</cop><pub>Pasifika Medical Association Group (PMAG)</pub><pmid>29073655</pmid><tpages>7</tpages></addata></record> |
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| ispartof | New Zealand medical journal, 2017-10, Vol.130 (1464), p.33-39 |
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| source | MEDLINE; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection |
| subjects | Algorithms Cadaver Cardiovascular disease Comorbidity Coronary vessels Data collection Diabetes Eligibility Determination Employment Female Hemodialysis Hospitals Humans Kidney diseases Kidney Failure, Chronic - complications Kidney Failure, Chronic - etiology Kidney Failure, Chronic - mortality Kidney Failure, Chronic - surgery Kidney Transplantation - mortality Kidney transplants Male Medical Audit Middle Aged Mortality New Zealand Patients Renal replacement therapy Risk Assessment - methods Tissue Donors Transplants & implants |
| title | Deceased donor kidney transplantation in New Zealand: use and audit of a survival prediction tool |
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