Impact of MELD‐Based Allocation on End‐Stage Renal Disease After Liver Transplantation
The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end‐stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post‐LT end‐stage renal disease (ESRD) before and af...
Saved in:
Published in | American journal of transplantation Vol. 11; no. 11; pp. 2372 - 2378 |
---|---|
Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Malden, USA
Blackwell Publishing Inc
01.11.2011
Wiley |
Subjects | |
Online Access | Get full text |
ISSN | 1600-6135 1600-6143 1600-6143 |
DOI | 10.1111/j.1600-6143.2011.03703.x |
Cover
Abstract | The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end‐stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post‐LT end‐stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services’ ESRD data. Cox regression was used to (i) compare pre‐MELD and MELD eras with respect to post‐LT ESRD incidence, (ii) determine the risk factors for post‐LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post‐LT ESRD were 12.8 and 14.5 per 1000 patient‐years in the pre‐MELD and MELD eras, respectively. Covariate‐adjusted post‐LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre‐LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post‐LT ESRD. Post‐LT ESRD was associated with higher post‐LT mortality (HR = 3.32; p < 0.0001). The risk of post‐LT ESRD, a strong predictor of post‐LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post‐LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post‐LT ESRD.
This study finds that the risk of new onset post–liver transplant end‐stage renal disease, a strong predictor of posttransplant mortality, is significantly higher in the MELD era, and identifies potentially modifiable risk factors of post–liver transplant end‐stage renal disease. |
---|---|
AbstractList | The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end-stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post-LT end-stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services' ESRD data. Cox regression was used to (i) compare pre-MELD and MELD eras with respect to post-LT ESRD incidence, (ii) determine the risk factors for post-LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post-LT ESRD were 12.8 and 14.5 per 1000 patient-years in the pre-MELD and MELD eras, respectively. Covariate-adjusted post-LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre-LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post-LT ESRD. Post-LT ESRD was associated with higher post-LT mortality (HR = 3.32; p < 0.0001). The risk of post-LT ESRD, a strong predictor of post-LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post-LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post-LT ESRD.The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end-stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post-LT end-stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services' ESRD data. Cox regression was used to (i) compare pre-MELD and MELD eras with respect to post-LT ESRD incidence, (ii) determine the risk factors for post-LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post-LT ESRD were 12.8 and 14.5 per 1000 patient-years in the pre-MELD and MELD eras, respectively. Covariate-adjusted post-LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre-LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post-LT ESRD. Post-LT ESRD was associated with higher post-LT mortality (HR = 3.32; p < 0.0001). The risk of post-LT ESRD, a strong predictor of post-LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post-LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post-LT ESRD. The proportion of patients undergoing liver transplantation (LT) with concomitant renal dysfunction markedly increased after allocation by the Model for End-stage Liver Disease (MELD) score was introduced. We examined the incidence of subsequent post-LT end-stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased-donor LT recipients between 4/27/95 and 12/31/08 (n=59,242) from the Scientific Registry of Transplant Recipients were linked with Centers for Medicare & Medicaid Services ESRD data. Cox regression was used to (i) compare pre-MELD and MELD eras with respect to post-LT ESRD incidence (ii) determine the risk factors for post-LT ESRD (iii) quantify the association between ESRD incidence and mortality. Crude rates of post-LT ESRD were 12.8 and 14.5 per 1,000 patient-years in the pre-MELD and MELD eras, respectively. Covariate-adjusted post-LT ESRD risk was higher in the MELD era (hazard ratio [HR] =1.15; p=0.0049). African-American race, hepatitis C, pre-LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium>141 mMol/L at LT were also significant predictors of post-LT ESRD. Post-LT ESRD was associated with higher post-LT mortality (HR=3.32; p<0.0001). The risk of post-LT ESRD, a strong predictor of post-LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post-LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post-LT ESRD. The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end-stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post-LT end-stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services' ESRD data. Cox regression was used to (i) compare pre-MELD and MELD eras with respect to post-LT ESRD incidence, (ii) determine the risk factors for post-LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post-LT ESRD were 12.8 and 14.5 per 1000 patient-years in the pre-MELD and MELD eras, respectively. Covariate-adjusted post-LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre-LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post-LT ESRD. Post-LT ESRD was associated with higher post-LT mortality (HR = 3.32; p < 0.0001). The risk of post-LT ESRD, a strong predictor of post-LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post-LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post-LT ESRD. This study finds that the risk of new onset post-liver transplant end-stage renal disease, a strong predictor of posttransplant mortality, is significantly higher in the MELD era, and identifies potentially modifiable risk factors of post-liver transplant end-stage renal disease. The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end‐stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post‐LT end‐stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services’ ESRD data. Cox regression was used to (i) compare pre‐MELD and MELD eras with respect to post‐LT ESRD incidence, (ii) determine the risk factors for post‐LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post‐LT ESRD were 12.8 and 14.5 per 1000 patient‐years in the pre‐MELD and MELD eras, respectively. Covariate‐adjusted post‐LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre‐LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post‐LT ESRD. Post‐LT ESRD was associated with higher post‐LT mortality (HR = 3.32; p < 0.0001). The risk of post‐LT ESRD, a strong predictor of post‐LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post‐LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post‐LT ESRD. This study finds that the risk of new onset post–liver transplant end‐stage renal disease, a strong predictor of posttransplant mortality, is significantly higher in the MELD era, and identifies potentially modifiable risk factors of post–liver transplant end‐stage renal disease. The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for end-stage liver disease (MELD) score was introduced. We examined the incidence of subsequent post-LT end-stage renal disease (ESRD) before and after the policy was implemented. Data on all adult deceased donor LT recipients between April 27, 1995 and December 31, 2008 (n = 59 242), from the Scientific Registry of Transplant Recipients, were linked with Centers for Medicare & Medicaid Services' ESRD data. Cox regression was used to (i) compare pre-MELD and MELD eras with respect to post-LT ESRD incidence, (ii) determine the risk factors for post-LT ESRD and (iii) quantify the association between ESRD incidence and mortality. Crude rates of post-LT ESRD were 12.8 and 14.5 per 1000 patient-years in the pre-MELD and MELD eras, respectively. Covariate-adjusted post-LT ESRD risk was higher in the MELD era (hazard ratio [HR]= 1.15; p = 0.0049). African American race, hepatitis C, pre-LT diabetes, higher creatinine, lower albumin, lower bilirubin and sodium >141 mmol/L at LT were also significant predictors of post-LT ESRD. Post-LT ESRD was associated with higher post-LT mortality (HR = 3.32; p < 0.0001). The risk of post-LT ESRD, a strong predictor of post-LT mortality, is 15% higher in the MELD era. This study identified potentially modifiable risk factors of post-LT ESRD. Early intervention and modification of these risk factors may reduce the burden of post-LT ESRD. |
Author | Ojo, A. O. Merion, R. M. Schaubel, D. E. Sharma, P. Guidinger, M. K. Goodrich, N. P. |
AuthorAffiliation | 2 Department of Biostatistics, University of Michigan, Ann Arbor, MI 4 Arbor Research Collaborative for Health, Ann Arbor, MI 3 Department of Surgery, University of Michigan, Ann Arbor, MI 1 Department of Internal Medicine, University of Michigan, Ann Arbor, MI |
AuthorAffiliation_xml | – name: 3 Department of Surgery, University of Michigan, Ann Arbor, MI – name: 1 Department of Internal Medicine, University of Michigan, Ann Arbor, MI – name: 4 Arbor Research Collaborative for Health, Ann Arbor, MI – name: 2 Department of Biostatistics, University of Michigan, Ann Arbor, MI |
Author_xml | – sequence: 1 givenname: P. surname: Sharma fullname: Sharma, P. – sequence: 2 givenname: D. E. surname: Schaubel fullname: Schaubel, D. E. – sequence: 3 givenname: M. K. surname: Guidinger fullname: Guidinger, M. K. – sequence: 4 givenname: N. P. surname: Goodrich fullname: Goodrich, N. P. – sequence: 5 givenname: A. O. surname: Ojo fullname: Ojo, A. O. – sequence: 6 givenname: R. M. surname: Merion fullname: Merion, R. M. |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25273419$$DView record in Pascal Francis https://www.ncbi.nlm.nih.gov/pubmed/21883908$$D View this record in MEDLINE/PubMed |
BookMark | eNqNUstuEzEUtVAr-oBfQN4gVhn8GI_tBUihDaVVKiQIGzaW49jFkWOn40lpd3xCv5EvwdOkKWVDrSv7Svec4_s6ADsxRQsAxKjC5bydV7hBaNDgmlYEYVwhyhGtrp-B_W1gZ-tTtgcOcp4jhDkR5DnYI1gIKpHYB99PF0ttOpgcPB-Nj3__uv2gs53BYQjJ6M6nCIuN4qxEvnb6wsIvNuoAj322BQiHrrMtHPurck9aHfMy6NjdEV-AXadDti837yH49nE0Ofo0GH8-OT0ajgeGUUYHzGIjJSUGScbEFDWNdpYyIpgjmAvH3ZRIw0qFvDHUcVMbyxtNUMNIMUIPwfu17nI1XdiZsbFrdVDL1i90e6OS9upxJPof6iJdKUoQpTUuAm82Am26XNncqYXPxoZSiU2rrCQWqJZciv8jEUao5owW5Ku_k9pmc9_5Ani9AehsdHCld8bnBxwjvOQmH6ozbcq5tU4Zv-5vqcUHhZHqV0LNVT9t1U9e9Suh7lZCXRcB8Y_A_R9PoL5bU3_6YG-ezFPDs0nv0T-1c81B |
CitedBy_id | crossref_primary_10_1097_TP_0000000000002148 crossref_primary_10_1097_TP_0000000000002305 crossref_primary_10_4254_wjh_v8_i27_1155 crossref_primary_10_1016_j_jceh_2012_11_002 crossref_primary_10_1097_TP_0000000000000763 crossref_primary_10_1016_j_nephro_2021_11_002 crossref_primary_10_1111_j_1600_6143_2012_04270_x crossref_primary_10_1111_ctr_12933 crossref_primary_10_1111_ajt_13765 crossref_primary_10_1111_ajt_12557 crossref_primary_10_1097_TP_0000000000005252 crossref_primary_10_1111_j_1600_6143_2012_04157_x crossref_primary_10_3390_cancers11060741 crossref_primary_10_1002_lt_25468 crossref_primary_10_1002_lt_25302 crossref_primary_10_1007_s12072_022_10320_z crossref_primary_10_4254_wjh_v14_i1_45 crossref_primary_10_1111_tri_13967 crossref_primary_10_1097_TP_0000000000000438 crossref_primary_10_1111_ctr_15085 crossref_primary_10_3390_transplantology2030032 crossref_primary_10_1016_j_dld_2021_06_011 crossref_primary_10_1053_j_ackd_2015_06_001 crossref_primary_10_6002_ect_2023_0035 crossref_primary_10_1016_j_jhep_2014_05_011 crossref_primary_10_1111_ajt_13790 crossref_primary_10_1097_TP_0000000000001348 crossref_primary_10_1016_j_nefroe_2021_01_003 crossref_primary_10_1097_TP_0000000000003447 crossref_primary_10_1016_j_trre_2018_04_001 crossref_primary_10_1111_petr_14666 crossref_primary_10_1002_lt_23682 crossref_primary_10_1002_lt_26232 crossref_primary_10_1097_TP_0000000000003040 crossref_primary_10_1111_ajt_13314 crossref_primary_10_1111_liv_13389 crossref_primary_10_1111_ajt_12502 crossref_primary_10_1002_lt_26032 crossref_primary_10_1111_ctr_13817 crossref_primary_10_1371_journal_pone_0219856 crossref_primary_10_1002_cld_787 crossref_primary_10_1016_j_trre_2016_04_002 crossref_primary_10_1080_17474124_2020_1797483 crossref_primary_10_1002_lt_25413 crossref_primary_10_1016_j_cld_2024_12_009 crossref_primary_10_1002_lt_25334 crossref_primary_10_1038_s41575_021_00426_4 crossref_primary_10_1097_TP_0000000000000767 crossref_primary_10_1097_TXD_0000000000000917 crossref_primary_10_1002_lt_23957 crossref_primary_10_1097_LVT_0000000000000386 crossref_primary_10_1016_j_rgmx_2018_07_002 crossref_primary_10_1097_TP_0000000000000820 crossref_primary_10_1097_SLA_0000000000001801 crossref_primary_10_1097_MOT_0b013e328353659c crossref_primary_10_1111_ajt_12257 crossref_primary_10_1111_ctr_13649 crossref_primary_10_1681_ASN_2013040436 crossref_primary_10_1111_tri_12409 crossref_primary_10_3390_jcm11144203 crossref_primary_10_1053_j_ackd_2021_09_012 crossref_primary_10_1016_j_jhep_2014_03_034 crossref_primary_10_1016_j_rgmxen_2019_01_001 crossref_primary_10_1002_hep_27359 crossref_primary_10_1097_TP_0000000000002760 crossref_primary_10_1111_j_1600_6143_2012_04177_x crossref_primary_10_1002_lt_26417 crossref_primary_10_1007_s12072_015_9631_3 crossref_primary_10_1111_ctr_12596 crossref_primary_10_1002_lt_26217 crossref_primary_10_1055_a_2255_7246 crossref_primary_10_1002_lt_25400 crossref_primary_10_1111_ctr_12479 crossref_primary_10_1016_j_cld_2022_01_004 crossref_primary_10_1016_j_intimp_2023_110439 crossref_primary_10_1002_lt_23867 crossref_primary_10_1016_j_transproceed_2013_10_016 crossref_primary_10_1097_TP_0000000000000199 crossref_primary_10_1097_TP_0000000000002574 crossref_primary_10_1097_TP_0000000000003147 crossref_primary_10_1053_j_akdh_2023_07_004 crossref_primary_10_1016_j_jceh_2023_01_010 crossref_primary_10_1016_j_nefro_2021_01_009 crossref_primary_10_1097_TXD_0000000000000771 crossref_primary_10_1002_lt_26054 crossref_primary_10_1016_j_jceh_2020_06_010 crossref_primary_10_1542_peds_2013_0904 crossref_primary_10_1097_MNH_0000000000000970 crossref_primary_10_1002_lt_25834 crossref_primary_10_1111_liv_15198 crossref_primary_10_1002_lt_23698 crossref_primary_10_1016_j_jhep_2014_08_054 crossref_primary_10_1097_TP_0000000000000668 crossref_primary_10_1007_s40620_021_01127_6 crossref_primary_10_1080_00365521_2023_2291992 crossref_primary_10_1016_j_transproceed_2013_03_023 |
Cites_doi | 10.1002/lt.21367 10.1111/j.1600-6143.2006.01242.x 10.1056/NEJM199410273311702 10.1053/jlts.2002.35855 10.1002/lt.20445 10.1111/j.1600-6135.2004.00395.x 10.1097/00007890-199502150-00010 10.1002/lt.21821 10.1111/j.1600-6143.2009.02567.x 10.1053/jhep.2002.33160 10.1053/j.gastro.2008.08.004 10.1111/j.1600-6143.2006.01526.x 10.1002/sim.2712 10.1111/j.1600-6143.2006.01277.x 10.1056/NEJMoa021744 |
ContentType | Journal Article |
Copyright | © 2015 INIST-CNRS 2011 The Authors Journal compilation © 2011 The American Society of Transplantation and the American Society of Transplant Surgeons. |
Copyright_xml | – notice: © – notice: 2015 INIST-CNRS – notice: 2011 The Authors Journal compilation © 2011 The American Society of Transplantation and the American Society of Transplant Surgeons. |
DBID | AAYXX CITATION IQODW CGR CUY CVF ECM EIF NPM 7X8 7T5 7U1 C1K H94 5PM |
DOI | 10.1111/j.1600-6143.2011.03703.x |
DatabaseName | CrossRef Pascal-Francis Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic Immunology Abstracts Risk Abstracts Environmental Sciences and Pollution Management AIDS and Cancer Research Abstracts PubMed Central (Full Participant titles) |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic Risk Abstracts AIDS and Cancer Research Abstracts Immunology Abstracts Environmental Sciences and Pollution Management |
DatabaseTitleList | MEDLINE - Academic Risk Abstracts MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
EISSN | 1600-6143 |
EndPage | 2378 |
ExternalDocumentID | PMC3203341 21883908 25273419 10_1111_j_1600_6143_2011_03703_x AJT3703 |
Genre | article Research Support, U.S. Gov't, Non-P.H.S Research Support, U.S. Gov't, P.H.S Journal Article Research Support, N.I.H., Extramural |
GeographicLocations | United States |
GeographicLocations_xml | – name: United States |
GrantInformation_xml | – fundername: NCRR NIH HHS grantid: UL1RR024986 – fundername: NIDDK NIH HHS grantid: R01 DK070869 – fundername: NIDDK NIH HHS grantid: K08 DK088946 – fundername: NIDDK NIH HHS grantid: K08 DK-088946 – fundername: NIDDK NIH HHS grantid: 2R01 DK-70869 – fundername: NCRR NIH HHS grantid: UL1 RR024986 – fundername: NIDDK NIH HHS grantid: K24 DK062234 |
GroupedDBID | --- .3N .GA .Y3 05W 10A 1OC 23M 24P 2WC 31~ 33P 36B 3SF 4.4 50Y 50Z 51W 51X 52M 52N 52O 52P 52R 52S 52T 52U 52V 52W 52X 53G 5GY 5HH 5LA 5VS 66C 6J9 702 7PT 8-0 8-1 8-3 8-4 8-5 8UM 930 A01 A03 AAESR AAEVG AAHHS AALRI AAONW AASGY AAXRX AAXUO AAZKR ABCQN ABCUV ABEML ABJNI ABPPZ ABPVW ABXGK ACAHQ ACCFJ ACCZN ACGFO ACGFS ACMXC ACPOU ACPRK ACSCC ACXBN ACXQS ADBBV ADEOM ADIZJ ADKYN ADMGS ADOZA ADVLN ADXAS ADZMN ADZOD AEEZP AEGXH AEIMD AENEX AEQDE AEUQT AFBPY AFEBI AFGKR AFJKZ AFPWT AFZJQ AHMBA AIACR AIAGR AITUG AIURR AIWBW AJAOE AJBDE AKRWK ALAGY ALMA_UNASSIGNED_HOLDINGS ALUQN AMBMR AMRAJ AMYDB ATUGU AZBYB AZVAB BAFTC BAWUL BHBCM BMXJE BROTX BRXPI BY8 C45 CAG COF CS3 D-6 D-7 D-E D-F DCZOG DIK DPXWK DR2 DRFUL DRMAN DRSTM E3Z EBS EJD ESX EX3 F00 F01 F04 F5P FDB FIJ FUBAC G-S G.N GODZA GX1 H.X HF~ HZI HZ~ IHE IPNFZ IX1 J0M K48 KBYEO LATKE LC2 LC3 LEEKS LH4 LITHE LOXES LP6 LP7 LUTES LW6 LYRES M41 MK4 MRFUL MRMAN MRSTM MSFUL MSMAN MSSTM MXFUL MXMAN MXSTM N04 N05 N9A NF~ O66 O9- OIG OK1 OVD P2P P2W P2X P2Z P4B P4D PQQKQ Q.N Q11 QB0 R.K ROL RX1 SUPJJ TEORI TR2 UB1 V8K W8V W99 WBKPD WHWMO WIH WIJ WIK WIN WOHZO WOW WQJ WRC WVDHM WXI XG1 YFH YUY ZZTAW ~IA ~WT 0R~ AAFWJ AAYWO AAYXX ACVFH ADCNI AEUPX AFPUW AGCQF AIGII AKBMS AKYEP APXCP CITATION AAMMB AEFGJ AGXDD AIDQK AIDYY EFKBS IQODW CGR CUY CVF ECM EIF NPM 7X8 7T5 7U1 C1K H94 5PM |
ID | FETCH-LOGICAL-c5353-5e1c9932c09558b066afe35285f2178f7fb29c503776c3f7c4ce76a2065265223 |
IEDL.DBID | DR2 |
ISSN | 1600-6135 1600-6143 |
IngestDate | Thu Aug 21 18:28:31 EDT 2025 Tue Aug 05 11:17:18 EDT 2025 Fri Sep 05 00:16:15 EDT 2025 Sat May 31 02:08:05 EDT 2025 Mon Jul 21 09:14:55 EDT 2025 Thu Apr 24 23:03:38 EDT 2025 Tue Jul 01 03:25:19 EDT 2025 Wed Jan 22 16:46:31 EST 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 11 |
Keywords | End-stage renal disease Prognosis Chronic renal failure Liver model for end-stage renal disease Hepatic disease Homotransplantation Epidemiology Liver failure Allocation Surgery Graft liver transplant Scientific Registry of Transplant Recipients Kidney disease Human Urinary system disease Digestive system Mortality Attribution Treatment Register Renal failure Digestive diseases Models Organ Liver transplantation |
Language | English |
License | CC BY 4.0 2011 The Authors Journal compilation © 2011 The American Society of Transplantation and the American Society of Transplant Surgeons. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c5353-5e1c9932c09558b066afe35285f2178f7fb29c503776c3f7c4ce76a2065265223 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
OpenAccessLink | https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/j.1600-6143.2011.03703.x |
PMID | 21883908 |
PQID | 901004753 |
PQPubID | 23479 |
PageCount | 7 |
ParticipantIDs | pubmedcentral_primary_oai_pubmedcentral_nih_gov_3203341 proquest_miscellaneous_918049798 proquest_miscellaneous_901004753 pubmed_primary_21883908 pascalfrancis_primary_25273419 crossref_citationtrail_10_1111_j_1600_6143_2011_03703_x crossref_primary_10_1111_j_1600_6143_2011_03703_x wiley_primary_10_1111_j_1600_6143_2011_03703_x_AJT3703 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | November 2011 |
PublicationDateYYYYMMDD | 2011-11-01 |
PublicationDate_xml | – month: 11 year: 2011 text: November 2011 |
PublicationDecade | 2010 |
PublicationPlace | Malden, USA |
PublicationPlace_xml | – name: Malden, USA – name: Hoboken, NJ – name: United States |
PublicationTitle | American journal of transplantation |
PublicationTitleAlternate | Am J Transplant |
PublicationYear | 2011 |
Publisher | Blackwell Publishing Inc Wiley |
Publisher_xml | – name: Blackwell Publishing Inc – name: Wiley |
References | 1994; 331 2003; 349 1995; 59 2002; 35 2002; 8 2008; 14 2009; 9 2006; 6 2004 2008; 135 2002 2005; 11 2009; 15 2007; 26 Gonwa (10.1111/j.1600-6143.2011.03703.x_bib3) 2006; 6 Campbell (10.1111/j.1600-6143.2011.03703.x_bib12) 2005; 11 Feng (10.1111/j.1600-6143.2011.03703.x_bib16) 2006; 6 (10.1111/j.1600-6143.2011.03703.x_bib9) 1994; 331 Bahirwani (10.1111/j.1600-6143.2011.03703.x_bib13) 2008; 14 Kalbfleisch (10.1111/j.1600-6143.2011.03703.x_bib7) 2002 Sharma (10.1111/j.1600-6143.2011.03703.x_bib4) 2009; 15 Nair (10.1111/j.1600-6143.2011.03703.x_bib11) 2002; 35 Gonwa (10.1111/j.1600-6143.2011.03703.x_bib10) 1995; 59 Berg (10.1111/j.1600-6143.2011.03703.x_bib14) 2009; 9 Rakela (10.1111/j.1600-6143.2011.03703.x_bib15) 2002; 8 Ojo (10.1111/j.1600-6143.2011.03703.x_bib1) 2003; 349 Levine (10.1111/j.1600-6143.2011.03703.x_bib5) 2006; 6 Putter (10.1111/j.1600-6143.2011.03703.x_bib8) 2007; 26 Sharma (10.1111/j.1600-6143.2011.03703.x_bib2) 2008; 135 Dickinson (10.1111/j.1600-6143.2011.03703.x_bib6) 2004 |
References_xml | – volume: 6 start-page: 1228 year: 2006 end-page: 1242 article-title: Analytical methods and database design: Implications for transplant researchers, 2005 publication-title: Am J Transplant – volume: 6 start-page: 783 year: 2006 end-page: 790 article-title: Characteristics associated with liver graft failure: The concept of a donor risk index publication-title: Am J Transplant – volume: 6 start-page: 2651 year: 2006 end-page: 2659 article-title: Continued influence of preoperative renal function on outcome of orthotopic liver transplant (OLTX) in the US: Where will MELD lead us? publication-title: Am J Transplant – volume: 35 start-page: 1179 year: 2002 end-page: 1185 article-title: Pretransplant renal function predicts survival in patients undergoing orthotopic liver transplantation publication-title: Hepatology – volume: 331 start-page: 1110 year: 1994 end-page: 1115 article-title: A comparison of tacrolimus (FK 506) and cyclosporine for immunosuppression in liver transplantation. The U.S. Multicenter FK506 Liver Study Group publication-title: N Engl J Med – volume: 59 start-page: 361 year: 1995 end-page: 365 article-title: Impact of pretransplant renal function on survival after liver transplantation publication-title: Transplantation – volume: 26 start-page: 2389 year: 2007 end-page: 2430 article-title: Tutorial in biostatistics: Competing risks and multi‐state models publication-title: Stat Med – volume: 11 start-page: 1048 year: 2005 end-page: 1055 article-title: Renal function after orthotopic liver transplantation is predicted by duration of pretransplantation creatinine elevation publication-title: Liver Transpl – year: 2002 – volume: 349 start-page: 931 year: 2003 end-page: 940 article-title: Chronic renal failure after transplantation of a nonrenal organ publication-title: N Engl J Med – volume: 135 start-page: 1575 year: 2008 end-page: 1581 article-title: Re‐weighting the model for end‐stage liver disease score components publication-title: Gastroenterology – volume: 15 start-page: 1142 year: 2009 end-page: 1148 article-title: Renal outcomes after liver transplantation in the model for end‐stage liver disease era publication-title: Liver Transpl – volume: 9 start-page: 907 year: 2009 end-page: 931 article-title: Liver and intestine transplantation in the United States 1998–2007 publication-title: Am J Transplant – volume: 8 start-page: S3 year: 2002 end-page: S6 article-title: Hepatitis C: Magnitude of the problem publication-title: Liver Transpl – volume: 14 start-page: 665 year: 2008 end-page: 671 article-title: Transplantation: Impact of pretransplant renal insufficiency publication-title: Liver Transpl – start-page: 13 issue: Suppl 9 year: 2004 end-page: 26 article-title: Transplant data: Sources, collection and caveats publication-title: Am J Transplant – volume: 14 start-page: 665 year: 2008 ident: 10.1111/j.1600-6143.2011.03703.x_bib13 article-title: Transplantation: Impact of pretransplant renal insufficiency publication-title: Liver Transpl doi: 10.1002/lt.21367 – volume: 6 start-page: 783 year: 2006 ident: 10.1111/j.1600-6143.2011.03703.x_bib16 article-title: Characteristics associated with liver graft failure: The concept of a donor risk index publication-title: Am J Transplant doi: 10.1111/j.1600-6143.2006.01242.x – volume: 331 start-page: 1110 year: 1994 ident: 10.1111/j.1600-6143.2011.03703.x_bib9 article-title: A comparison of tacrolimus (FK 506) and cyclosporine for immunosuppression in liver transplantation. The U.S. Multicenter FK506 Liver Study Group publication-title: N Engl J Med doi: 10.1056/NEJM199410273311702 – volume: 8 start-page: S3 year: 2002 ident: 10.1111/j.1600-6143.2011.03703.x_bib15 article-title: Hepatitis C: Magnitude of the problem publication-title: Liver Transpl doi: 10.1053/jlts.2002.35855 – volume: 11 start-page: 1048 year: 2005 ident: 10.1111/j.1600-6143.2011.03703.x_bib12 article-title: Renal function after orthotopic liver transplantation is predicted by duration of pretransplantation creatinine elevation publication-title: Liver Transpl doi: 10.1002/lt.20445 – start-page: 13 issue: Suppl 9 year: 2004 ident: 10.1111/j.1600-6143.2011.03703.x_bib6 article-title: Transplant data: Sources, collection and caveats publication-title: Am J Transplant doi: 10.1111/j.1600-6135.2004.00395.x – volume: 59 start-page: 361 year: 1995 ident: 10.1111/j.1600-6143.2011.03703.x_bib10 article-title: Impact of pretransplant renal function on survival after liver transplantation publication-title: Transplantation doi: 10.1097/00007890-199502150-00010 – volume: 15 start-page: 1142 year: 2009 ident: 10.1111/j.1600-6143.2011.03703.x_bib4 article-title: Renal outcomes after liver transplantation in the model for end-stage liver disease era publication-title: Liver Transpl doi: 10.1002/lt.21821 – year: 2002 ident: 10.1111/j.1600-6143.2011.03703.x_bib7 – volume: 9 start-page: 907 year: 2009 ident: 10.1111/j.1600-6143.2011.03703.x_bib14 article-title: Liver and intestine transplantation in the United States 1998–2007 publication-title: Am J Transplant doi: 10.1111/j.1600-6143.2009.02567.x – volume: 35 start-page: 1179 year: 2002 ident: 10.1111/j.1600-6143.2011.03703.x_bib11 article-title: Pretransplant renal function predicts survival in patients undergoing orthotopic liver transplantation publication-title: Hepatology doi: 10.1053/jhep.2002.33160 – volume: 135 start-page: 1575 year: 2008 ident: 10.1111/j.1600-6143.2011.03703.x_bib2 article-title: Re-weighting the model for end-stage liver disease score components publication-title: Gastroenterology doi: 10.1053/j.gastro.2008.08.004 – volume: 6 start-page: 2651 year: 2006 ident: 10.1111/j.1600-6143.2011.03703.x_bib3 article-title: Continued influence of preoperative renal function on outcome of orthotopic liver transplant (OLTX) in the US: Where will MELD lead us? publication-title: Am J Transplant doi: 10.1111/j.1600-6143.2006.01526.x – volume: 26 start-page: 2389 year: 2007 ident: 10.1111/j.1600-6143.2011.03703.x_bib8 article-title: Tutorial in biostatistics: Competing risks and multi-state models publication-title: Stat Med doi: 10.1002/sim.2712 – volume: 6 start-page: 1228 year: 2006 ident: 10.1111/j.1600-6143.2011.03703.x_bib5 article-title: Analytical methods and database design: Implications for transplant researchers, 2005 publication-title: Am J Transplant doi: 10.1111/j.1600-6143.2006.01277.x – volume: 349 start-page: 931 year: 2003 ident: 10.1111/j.1600-6143.2011.03703.x_bib1 article-title: Chronic renal failure after transplantation of a nonrenal organ publication-title: N Engl J Med doi: 10.1056/NEJMoa021744 |
SSID | ssj0017282 |
Score | 2.3664124 |
Snippet | The proportion of patients undergoing liver transplantation (LT), with concomitant renal dysfunction, markedly increased after allocation by the model for... The proportion of patients undergoing liver transplantation (LT) with concomitant renal dysfunction markedly increased after allocation by the Model for... |
SourceID | pubmedcentral proquest pubmed pascalfrancis crossref wiley |
SourceType | Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
StartPage | 2372 |
SubjectTerms | Adult Aged Biological and medical sciences End Stage Liver Disease - classification End Stage Liver Disease - surgery End‐stage renal disease Female Gastroenterology. Liver. Pancreas. Abdomen Health Care Rationing Hepatitis C virus Humans Kidney Failure, Chronic - etiology liver transplant Liver Transplantation - adverse effects Liver Transplantation - mortality Liver, biliary tract, pancreas, portal circulation, spleen Liver. Biliary tract. Portal circulation. Exocrine pancreas Male Medical sciences Middle Aged model for end‐stage renal disease mortality Nephrology. Urinary tract diseases Nephropathies. Renovascular diseases. Renal failure Other diseases. Semiology Patient Selection Proportional Hazards Models Renal failure Risk Factors Scientific Registry of Transplant Recipients Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Surgery of the digestive system United States - epidemiology |
Title | Impact of MELD‐Based Allocation on End‐Stage Renal Disease After Liver Transplantation |
URI | https://onlinelibrary.wiley.com/doi/abs/10.1111%2Fj.1600-6143.2011.03703.x https://www.ncbi.nlm.nih.gov/pubmed/21883908 https://www.proquest.com/docview/901004753 https://www.proquest.com/docview/918049798 https://pubmed.ncbi.nlm.nih.gov/PMC3203341 |
Volume | 11 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1fS-QwEA-HT8LhH-7Oq-dJHnztsm2Spn3cc1dU9B5EQe4lpGlyiktX3F04fLqP4Gf0k9xM0q32FBERylJIJ7SzM53fNJPfELJTlZBVJMbEnHMGP0zHZVElAOSsM7nN8tzzFhz_zPbP-OG5OG_qn3AvTOCHaD-4oWf49zU6uC6nXSeHYA2pD2cNEycD6-0hnkxYhjT6w5OWSQq7MPmFzyDCRLeo59mJOpHq47WegtJc6HbxHBx9WlX5GO36cLW3Sq4WDxqqVK5681nZM7f_cUC-jybWyEqDaukgmOE6-WDrT-TXgd-BSSeOHo-Ohvd_735AyKzoYIwBFA2CwjGqKxgBzPvb0hOLswzDmhEdYPtyeoSFIzRwsI912ChVfyZne6PT3f24aeUQG8EEi4VNDCCh1CDjXV4CztHOIrGMcJAT5U66Mi2MgBuXmWFOGm6szHQKACmFI2VfyFI9qe1XQjOjLRciK0WqeWEsQBiJliVd5WBOGRG5-NuUaXjOsd3GWD3Kd0BfCvWlUF_K60v9iUjSSl4Hro9XyGx3LKMVTJHZjidFROjCVBR4Li7H6NpO5lOFhTF9DuniC5ckOWRwssgjshGM62H-JAds24cR2TG79gLkDe-O1JcXnj-cpX0GtxaRzFvVq59VDQ5P8WzzrYLfyLL_JO-3cm6RpdnN3H4HTDcrt723_gPrij0N |
linkProvider | Wiley-Blackwell |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1fb9MwED-h8QASGiD-hT_DD7ymamI7Th4L7dSNdg9TJ028WIljM0SVTqyVJp74CHxGPgl3dhoWmNCEkKKqknNWcr3r_c4-_w7gTV1hVpEYEwshOH7wMq6KOkEgZ53JbZbnnrdgfpRNT8ThqTxt2wHRWZjAD9EtuJFn-P9rcnBakO57OUZrzH0Eb6k4OZrvAAHlbYG4gzKx8XHHJUV9mPzWZ5Dhsl_Wc-1MvVh177y8QLW50O_iOkD6Z13lVbzrA9b-fVhuXzXUqXwebNbVwHz9jQXyP-niAey2wJaNgiU-hFu2eQQfDvwhTLZybD6ZjX98-_4Wo2bNRkuKoWQTDK9JU-MIwt6Plh1bmmUcto3YiDqYsxnVjrBAw74sw1mp5jGc7E8W76Zx280hNpJLHkubGARDqSHSu7xCqFM6S9wy0mFalDvlqrQwEh9cZYY7ZYSxKitTxEgpXil_AjvNqrHPgGWmtELKrJJpKQpjEcUoMi7laodzqgjU9nfTpqU6p44bS30l5UF9adKXJn1pry99GUHSSZ4Huo8byOz1TKMTTIncTiRFBGxrKxqdl3ZkysauNheaamOGAjPGv9yS5JjEqSKP4Gmwrl_zJznC2yGOqJ7ddTcQdXh_pPl05inEeTrk-GgRZN6sbvyuenS4oG_P_1XwNdyZLuYzPTs4ev8C7voVen-y8yXsrL9s7CuEeOtqz7vuT70RQSw |
linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1fa9RAEB-kggjiH_yXqnUffM1xye5mk8fTu6Ot1yKlheLLkmx2q_TIHe0diE9-BD-jn8SZ3VxstEgRIRyBzSzJ3EzmN9nZ3wC8qSvMKhJjYiEExx9exlVRJwjkrDO5zfLc8xYcHGa7J2L_VJ629U-0FybwQ3Qf3Mgz_PuaHHxZu76TY7DG1EfwlomTo_UOEE_eFhkCCwJIRx2VFLVh8iufQYbLflXPtTP1QtW9ZXmJWnOh3cV1ePTPssqrcNfHq-kDON88aShTOR-sV9XAfP2NBPL_qOIh3G9hLRsFO3wEt2zzGD7u-S2YbOHYwWQ2_vHt-1uMmTUbzSmCkkUwPCZNjSMIes8sO7I0yzgsGrER9S9nM6ocYYGEfV6GnVLNEziZTo7f7cZtL4fYSC55LG1iEAqlhijv8gqBTuksMctIh0lR7pSr0sJIvHGVGe6UEcaqrEwRIaV4pPwpbDWLxj4HlpnSCimzSqalKIxFDKPItJSrHc6pIlCbv02bluic-m3M9ZWEB_WlSV-a9KW9vvSXCJJOchnIPm4gs9OzjE4wJWo7kRQRsI2paHRdWo8pG7tYX2qqjBkKzBf_ckmSYwqnijyCZ8G4fs2f5AhuhziiembXXUDE4f2R5vMnTyDO0yHHW4sg81Z142fVo_1jOtv-V8HXcOfDeKpne4fvX8Bd_3neb-t8CVuri7V9hfhuVe14x_0JtgA_2w |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Impact+of+MELD-Based+Allocation+on+End-Stage+Renal+Disease+After+Liver+Transplantation&rft.jtitle=American+journal+of+transplantation&rft.au=SHARMA%2C+P&rft.au=SCHAUBEL%2C+D.+E&rft.au=GUIDINGER%2C+M.+K&rft.au=GOODRICH%2C+N.+P&rft.date=2011-11-01&rft.pub=Wiley&rft.issn=1600-6135&rft.volume=11&rft.issue=11&rft.spage=2372&rft.epage=2378&rft_id=info:doi/10.1111%2Fj.1600-6143.2011.03703.x&rft.externalDBID=n%2Fa&rft.externalDocID=25273419 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1600-6135&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1600-6135&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1600-6135&client=summon |