Predicting chance of liver transplantation for pediatric wait‐list candidates
Information about wait‐list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait‐list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 p...
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| Veröffentlicht in: | Pediatric transplantation 2019-11, Vol.23 (7), p.e13542-n/a |
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| container_title | Pediatric transplantation |
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| creator | Luo, Xun Mogul, Douglas B. Massie, Allan B. Ishaque, Tanveen Bridges, John F. P. Segev, Dorry L. |
| description | Information about wait‐list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait‐list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 pediatric ( |
| doi_str_mv | 10.1111/petr.13542 |
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P. ; Segev, Dorry L.</creator><creatorcontrib>Luo, Xun ; Mogul, Douglas B. ; Massie, Allan B. ; Ishaque, Tanveen ; Bridges, John F. P. ; Segev, Dorry L.</creatorcontrib><description>Information about wait‐list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait‐list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 pediatric (<18 years), non status‐1A, liver‐only transplant candidates between 2006 and 2017 from the SRTR. Cox regression with shared frailty for DSA level effect was used to model the association of blood type, weight, allocation PELD and MELD, and DSA with chance of DDLT. Jackknife technique was used for validation. Median (interquartile range) wait‐list time was 100 (34‐309) days. Non‐O Blood type, higher PELD/MELD score at listing, and DSA were associated with increased chance of DDLT, while age 1‐5 years and 10‐18 years was associated with lower chance of DDLT (P < 0.001 for all variables). Our model accurately predicted chance of transplant (C‐statistic = 0.68) and was able to predict DDLT at specific follow‐up times (eg, 3 months). This model can serve as the basis for an online tool that would provide useful information for pediatric wait‐list candidates.</description><identifier>ISSN: 1397-3142</identifier><identifier>EISSN: 1399-3046</identifier><identifier>DOI: 10.1111/petr.13542</identifier><identifier>PMID: 31313464</identifier><language>eng</language><publisher>Denmark: Wiley Subscription Services, Inc</publisher><subject>Adolescent ; Algorithms ; Blood groups ; calculator ; Child ; Child, Preschool ; deceased donor liver transplant ; End Stage Liver Disease - surgery ; Humans ; Infant ; Liver Failure - surgery ; Liver Transplantation ; Liver transplants ; pediatric ; Pediatrics ; prediction ; Proportional Hazards Models ; Registries ; Risk Assessment ; Severity of Illness Index ; Tissue and Organ Procurement - methods ; Transplants & implants ; Waiting Lists</subject><ispartof>Pediatric transplantation, 2019-11, Vol.23 (7), p.e13542-n/a</ispartof><rights>2019 Wiley Periodicals, Inc.</rights><rights>2019 John Wiley & Sons A/S. 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P.</creatorcontrib><creatorcontrib>Segev, Dorry L.</creatorcontrib><title>Predicting chance of liver transplantation for pediatric wait‐list candidates</title><title>Pediatric transplantation</title><addtitle>Pediatr Transplant</addtitle><description>Information about wait‐list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait‐list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 pediatric (<18 years), non status‐1A, liver‐only transplant candidates between 2006 and 2017 from the SRTR. Cox regression with shared frailty for DSA level effect was used to model the association of blood type, weight, allocation PELD and MELD, and DSA with chance of DDLT. Jackknife technique was used for validation. Median (interquartile range) wait‐list time was 100 (34‐309) days. Non‐O Blood type, higher PELD/MELD score at listing, and DSA were associated with increased chance of DDLT, while age 1‐5 years and 10‐18 years was associated with lower chance of DDLT (P < 0.001 for all variables). Our model accurately predicted chance of transplant (C‐statistic = 0.68) and was able to predict DDLT at specific follow‐up times (eg, 3 months). This model can serve as the basis for an online tool that would provide useful information for pediatric wait‐list candidates.</description><subject>Adolescent</subject><subject>Algorithms</subject><subject>Blood groups</subject><subject>calculator</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>deceased donor liver transplant</subject><subject>End Stage Liver Disease - surgery</subject><subject>Humans</subject><subject>Infant</subject><subject>Liver Failure - surgery</subject><subject>Liver Transplantation</subject><subject>Liver transplants</subject><subject>pediatric</subject><subject>Pediatrics</subject><subject>prediction</subject><subject>Proportional Hazards Models</subject><subject>Registries</subject><subject>Risk Assessment</subject><subject>Severity of Illness Index</subject><subject>Tissue and Organ Procurement - methods</subject><subject>Transplants & implants</subject><subject>Waiting Lists</subject><issn>1397-3142</issn><issn>1399-3046</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kMtKAzEUhoMotlY3PoAMuBFham4z0yyl1AsIFanrkElONWU6Myap4s5H8Bl9EtNOdeHCcxbnLD5-fj6EjgkekjgXLQQ3JCzjdAf1CRMiZZjnu5u_SBnhtIcOvF9gTHI-4vuox0hcnvM-mt47MFYHWz8l-lnVGpJmnlT2FVwSnKp9W6k6qGCbOpk3LmkjrYKzOnlTNnx9fFbWh0Sr2lijAvhDtDdXlYej7R2gx6vJbHyT3k2vb8eXd6lmgtFUZLlmPOM5KZRQvDSCl6zQFDA1YKDQeqRKUxLISzoyo5JrMJQThQuTZ5pwNkBnXW7rmpcV-CCX1muoYltoVl5SmolopOA4oqd_0EWzcnVsJykjWGAiiiJS5x2lXeO9g7lsnV0q9y4JlmvNcq1ZbjRH-GQbuSqXYH7RH68RIB3wZit4_ydK3k9mD13oNxPyiTI</recordid><startdate>201911</startdate><enddate>201911</enddate><creator>Luo, Xun</creator><creator>Mogul, Douglas B.</creator><creator>Massie, Allan B.</creator><creator>Ishaque, Tanveen</creator><creator>Bridges, John F. P.</creator><creator>Segev, Dorry L.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7T5</scope><scope>H94</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-0244-9832</orcidid><orcidid>https://orcid.org/0000-0002-3523-243X</orcidid><orcidid>https://orcid.org/0000-0002-6486-3302</orcidid></search><sort><creationdate>201911</creationdate><title>Predicting chance of liver transplantation for pediatric wait‐list candidates</title><author>Luo, Xun ; Mogul, Douglas B. ; Massie, Allan B. ; Ishaque, Tanveen ; Bridges, John F. 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P.</au><au>Segev, Dorry L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting chance of liver transplantation for pediatric wait‐list candidates</atitle><jtitle>Pediatric transplantation</jtitle><addtitle>Pediatr Transplant</addtitle><date>2019-11</date><risdate>2019</risdate><volume>23</volume><issue>7</issue><spage>e13542</spage><epage>n/a</epage><pages>e13542-n/a</pages><issn>1397-3142</issn><eissn>1399-3046</eissn><abstract>Information about wait‐list time has been reported as one of the single most frequently asked questions by individuals awaiting a transplant but data regarding wait‐list time have not been processed in a useful way for pediatric candidates. To predict chance of receiving a DDLT, we identified 6471 pediatric (<18 years), non status‐1A, liver‐only transplant candidates between 2006 and 2017 from the SRTR. Cox regression with shared frailty for DSA level effect was used to model the association of blood type, weight, allocation PELD and MELD, and DSA with chance of DDLT. Jackknife technique was used for validation. Median (interquartile range) wait‐list time was 100 (34‐309) days. Non‐O Blood type, higher PELD/MELD score at listing, and DSA were associated with increased chance of DDLT, while age 1‐5 years and 10‐18 years was associated with lower chance of DDLT (P < 0.001 for all variables). Our model accurately predicted chance of transplant (C‐statistic = 0.68) and was able to predict DDLT at specific follow‐up times (eg, 3 months). 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| source | MEDLINE; Access via Wiley Online Library |
| subjects | Adolescent Algorithms Blood groups calculator Child Child, Preschool deceased donor liver transplant End Stage Liver Disease - surgery Humans Infant Liver Failure - surgery Liver Transplantation Liver transplants pediatric Pediatrics prediction Proportional Hazards Models Registries Risk Assessment Severity of Illness Index Tissue and Organ Procurement - methods Transplants & implants Waiting Lists |
| title | Predicting chance of liver transplantation for pediatric wait‐list candidates |
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