Survival Before and After Model for End-stage Liver Disease Score Introduction on the Brazilian Liver Transplant Waiting List
Abstract Introduction To examine whether the official adoption of Model for End-Stage Liver Disease (MELD) as a criterion for organ allocation was effective, we studied risk factors for patient deaths and the accuracy of the MELD score to predict mortality. Methods Patients on the waiting list for l...
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description | Abstract Introduction To examine whether the official adoption of Model for End-Stage Liver Disease (MELD) as a criterion for organ allocation was effective, we studied risk factors for patient deaths and the accuracy of the MELD score to predict mortality. Methods Patients on the waiting list for liver transplantation were divided into two periods depending on whether they were on the waiting list before (period 1) or after (period 2) the MELD introduction in Brazil. The Kaplan-Meier method with log-rank tests were used to study patient survivals. Predictive factors were identified using the Cox regression method. A receiver operating characteristic (ROC) curve was used to analyze Child-Turcotte-Pugh (CTP) and MELD accuracy. Results We analyzed 295 patients in period 1 and 240 in period 2. The survivals after 3, 6, 9, and 12 months in periods 1 and 2, were 95.6%, 90.5%, 84.9%, and 69.6% vs 95.7%, 92.1%, 85.3%, and 83.3%, respectively ( P = NS). Multivariate analysis showed CTP, MELD-Na, and albumin levels, besides spontaneous bacterial peritonitis (SBP), to be independent factors related to survival in period 1. In period 2, CTP, creatinine levels, international normalized ratio, besides spontaneous bacterial peritonitis, were the independent factors. The ROC curve for CTP was 0.676 and for MELD, 0.644 ( P = .4) in period 1. In period 2, the ROC curve for CTP was 0.680 and for MELD, 0.718 ( P = .4). Conclusion Patient survival on the waiting list for liver transplantation did not change at 1 year after the introduction of the MELD. |
doi_str_mv | 10.1016/j.transproceed.2010.01.028 |
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Methods Patients on the waiting list for liver transplantation were divided into two periods depending on whether they were on the waiting list before (period 1) or after (period 2) the MELD introduction in Brazil. The Kaplan-Meier method with log-rank tests were used to study patient survivals. Predictive factors were identified using the Cox regression method. A receiver operating characteristic (ROC) curve was used to analyze Child-Turcotte-Pugh (CTP) and MELD accuracy. Results We analyzed 295 patients in period 1 and 240 in period 2. The survivals after 3, 6, 9, and 12 months in periods 1 and 2, were 95.6%, 90.5%, 84.9%, and 69.6% vs 95.7%, 92.1%, 85.3%, and 83.3%, respectively ( P = NS). Multivariate analysis showed CTP, MELD-Na, and albumin levels, besides spontaneous bacterial peritonitis (SBP), to be independent factors related to survival in period 1. In period 2, CTP, creatinine levels, international normalized ratio, besides spontaneous bacterial peritonitis, were the independent factors. The ROC curve for CTP was 0.676 and for MELD, 0.644 ( P = .4) in period 1. In period 2, the ROC curve for CTP was 0.680 and for MELD, 0.718 ( P = .4). Conclusion Patient survival on the waiting list for liver transplantation did not change at 1 year after the introduction of the MELD.</description><identifier>ISSN: 0041-1345</identifier><identifier>EISSN: 1873-2623</identifier><identifier>DOI: 10.1016/j.transproceed.2010.01.028</identifier><identifier>PMID: 20304153</identifier><identifier>CODEN: TRPPA8</identifier><language>eng</language><publisher>Amsterdam: Elsevier Inc</publisher><subject>Adult ; Bilirubin - blood ; Biological and medical sciences ; Brazil ; Creatinine - blood ; Female ; Fundamental and applied biological sciences. Psychology ; Fundamental immunology ; Gastroenterology. Liver. Pancreas. Abdomen ; Humans ; Liver Diseases - classification ; Liver Diseases - surgery ; Liver Failure - mortality ; Liver Failure - surgery ; Liver Transplantation - statistics & numerical data ; Liver. Biliary tract. Portal circulation. Exocrine pancreas ; Male ; Medical sciences ; Middle Aged ; Models, Biological ; Other diseases. Semiology ; Predictive Value of Tests ; Regression Analysis ; ROC Curve ; Serum Albumin - metabolism ; Surgery ; Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases ; Survival Rate ; Survivors ; Time Factors ; Tissue, organ and graft immunology ; Waiting Lists</subject><ispartof>Transplantation proceedings, 2010-03, Vol.42 (2), p.412-416</ispartof><rights>Elsevier Inc.</rights><rights>2010 Elsevier Inc.</rights><rights>2015 INIST-CNRS</rights><rights>Copyright (c) 2010 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c464t-826803c3176763fd798beecda15d4703738c675688d0a40879816b9cc733dbb93</citedby><cites>FETCH-LOGICAL-c464t-826803c3176763fd798beecda15d4703738c675688d0a40879816b9cc733dbb93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0041134510001193$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,3537,23909,23910,25118,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22744828$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20304153$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Castro, R.S</creatorcontrib><creatorcontrib>Deisanti, D</creatorcontrib><creatorcontrib>Seva-Pereira, T</creatorcontrib><creatorcontrib>Almeida, J.R.S</creatorcontrib><creatorcontrib>Yamanaka, A</creatorcontrib><creatorcontrib>Boin, I.F.S.F</creatorcontrib><creatorcontrib>Soares, E.C</creatorcontrib><title>Survival Before and After Model for End-stage Liver Disease Score Introduction on the Brazilian Liver Transplant Waiting List</title><title>Transplantation proceedings</title><addtitle>Transplant Proc</addtitle><description>Abstract Introduction To examine whether the official adoption of Model for End-Stage Liver Disease (MELD) as a criterion for organ allocation was effective, we studied risk factors for patient deaths and the accuracy of the MELD score to predict mortality. Methods Patients on the waiting list for liver transplantation were divided into two periods depending on whether they were on the waiting list before (period 1) or after (period 2) the MELD introduction in Brazil. The Kaplan-Meier method with log-rank tests were used to study patient survivals. Predictive factors were identified using the Cox regression method. A receiver operating characteristic (ROC) curve was used to analyze Child-Turcotte-Pugh (CTP) and MELD accuracy. Results We analyzed 295 patients in period 1 and 240 in period 2. The survivals after 3, 6, 9, and 12 months in periods 1 and 2, were 95.6%, 90.5%, 84.9%, and 69.6% vs 95.7%, 92.1%, 85.3%, and 83.3%, respectively ( P = NS). Multivariate analysis showed CTP, MELD-Na, and albumin levels, besides spontaneous bacterial peritonitis (SBP), to be independent factors related to survival in period 1. In period 2, CTP, creatinine levels, international normalized ratio, besides spontaneous bacterial peritonitis, were the independent factors. The ROC curve for CTP was 0.676 and for MELD, 0.644 ( P = .4) in period 1. In period 2, the ROC curve for CTP was 0.680 and for MELD, 0.718 ( P = .4). Conclusion Patient survival on the waiting list for liver transplantation did not change at 1 year after the introduction of the MELD.</description><subject>Adult</subject><subject>Bilirubin - blood</subject><subject>Biological and medical sciences</subject><subject>Brazil</subject><subject>Creatinine - blood</subject><subject>Female</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Fundamental immunology</subject><subject>Gastroenterology. Liver. Pancreas. Abdomen</subject><subject>Humans</subject><subject>Liver Diseases - classification</subject><subject>Liver Diseases - surgery</subject><subject>Liver Failure - mortality</subject><subject>Liver Failure - surgery</subject><subject>Liver Transplantation - statistics & numerical data</subject><subject>Liver. Biliary tract. Portal circulation. Exocrine pancreas</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Models, Biological</subject><subject>Other diseases. Semiology</subject><subject>Predictive Value of Tests</subject><subject>Regression Analysis</subject><subject>ROC Curve</subject><subject>Serum Albumin - metabolism</subject><subject>Surgery</subject><subject>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</subject><subject>Survival Rate</subject><subject>Survivors</subject><subject>Time Factors</subject><subject>Tissue, organ and graft immunology</subject><subject>Waiting Lists</subject><issn>0041-1345</issn><issn>1873-2623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkk-LFDEQxYMo7rj6FSQI4qnHpJNJZzwI-09dGPEwKx5DOqleM_akd5P0wAp-d6t3ZlE8CYGQvFevih9FyCvO5pxx9XYzL8nGfJMGB-DnNUOB8Tmr9SMy47oRVa1q8ZjMGJO84kIujsiznDcM37UUT8lRzQRKCzEjv9Zj2oWd7ekpdEMCaqOnJ12BRD8PHnqKn_Qi-ioXew10FXaonIcMNgNdu6niMpY0-NGVMESKp3wHeprsz9AHGw8VV_cD9zYW-s2GEuI1Crk8J08622d4cbiPydcPF1dnn6rVl4-XZyerykklS6VrpZlwgjeqUaLzzVK3AM5bvvCyYaIR2qlmobT2zEqmUeeqXTrXCOHbdimOyZt9LjK7HSEXsw3ZQY8DwTBmgz7NtJKT893e6dKQc4LO3KSwtenOcGYm-mZj_qZvJvqGcYP0sfjloc3YblF7KH3AjYbXB4PNzvYdBrmQ__jqRkp9H3S-9wFC2QVIJrsA0YEPCVwxfgj_N8_7f2JcH2LAzj_gDvJmGFNE7IabXBtm1tO-TOvCcVM4XwrxG4i9vsQ</recordid><startdate>20100301</startdate><enddate>20100301</enddate><creator>Castro, R.S</creator><creator>Deisanti, D</creator><creator>Seva-Pereira, T</creator><creator>Almeida, J.R.S</creator><creator>Yamanaka, A</creator><creator>Boin, I.F.S.F</creator><creator>Soares, E.C</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>IQODW</scope><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>7X8</scope></search><sort><creationdate>20100301</creationdate><title>Survival Before and After Model for End-stage Liver Disease Score Introduction on the Brazilian Liver Transplant Waiting List</title><author>Castro, R.S ; Deisanti, D ; Seva-Pereira, T ; Almeida, J.R.S ; Yamanaka, A ; Boin, I.F.S.F ; Soares, E.C</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c464t-826803c3176763fd798beecda15d4703738c675688d0a40879816b9cc733dbb93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adult</topic><topic>Bilirubin - blood</topic><topic>Biological and medical sciences</topic><topic>Brazil</topic><topic>Creatinine - blood</topic><topic>Female</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Fundamental immunology</topic><topic>Gastroenterology. Liver. Pancreas. Abdomen</topic><topic>Humans</topic><topic>Liver Diseases - classification</topic><topic>Liver Diseases - surgery</topic><topic>Liver Failure - mortality</topic><topic>Liver Failure - surgery</topic><topic>Liver Transplantation - statistics & numerical data</topic><topic>Liver. Biliary tract. Portal circulation. Exocrine pancreas</topic><topic>Male</topic><topic>Medical sciences</topic><topic>Middle Aged</topic><topic>Models, Biological</topic><topic>Other diseases. Semiology</topic><topic>Predictive Value of Tests</topic><topic>Regression Analysis</topic><topic>ROC Curve</topic><topic>Serum Albumin - metabolism</topic><topic>Surgery</topic><topic>Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases</topic><topic>Survival Rate</topic><topic>Survivors</topic><topic>Time Factors</topic><topic>Tissue, organ and graft immunology</topic><topic>Waiting Lists</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Castro, R.S</creatorcontrib><creatorcontrib>Deisanti, D</creatorcontrib><creatorcontrib>Seva-Pereira, T</creatorcontrib><creatorcontrib>Almeida, J.R.S</creatorcontrib><creatorcontrib>Yamanaka, A</creatorcontrib><creatorcontrib>Boin, I.F.S.F</creatorcontrib><creatorcontrib>Soares, E.C</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Transplantation proceedings</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Castro, R.S</au><au>Deisanti, D</au><au>Seva-Pereira, T</au><au>Almeida, J.R.S</au><au>Yamanaka, A</au><au>Boin, I.F.S.F</au><au>Soares, E.C</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Survival Before and After Model for End-stage Liver Disease Score Introduction on the Brazilian Liver Transplant Waiting List</atitle><jtitle>Transplantation proceedings</jtitle><addtitle>Transplant Proc</addtitle><date>2010-03-01</date><risdate>2010</risdate><volume>42</volume><issue>2</issue><spage>412</spage><epage>416</epage><pages>412-416</pages><issn>0041-1345</issn><eissn>1873-2623</eissn><coden>TRPPA8</coden><abstract>Abstract Introduction To examine whether the official adoption of Model for End-Stage Liver Disease (MELD) as a criterion for organ allocation was effective, we studied risk factors for patient deaths and the accuracy of the MELD score to predict mortality. Methods Patients on the waiting list for liver transplantation were divided into two periods depending on whether they were on the waiting list before (period 1) or after (period 2) the MELD introduction in Brazil. The Kaplan-Meier method with log-rank tests were used to study patient survivals. Predictive factors were identified using the Cox regression method. A receiver operating characteristic (ROC) curve was used to analyze Child-Turcotte-Pugh (CTP) and MELD accuracy. Results We analyzed 295 patients in period 1 and 240 in period 2. The survivals after 3, 6, 9, and 12 months in periods 1 and 2, were 95.6%, 90.5%, 84.9%, and 69.6% vs 95.7%, 92.1%, 85.3%, and 83.3%, respectively ( P = NS). Multivariate analysis showed CTP, MELD-Na, and albumin levels, besides spontaneous bacterial peritonitis (SBP), to be independent factors related to survival in period 1. In period 2, CTP, creatinine levels, international normalized ratio, besides spontaneous bacterial peritonitis, were the independent factors. The ROC curve for CTP was 0.676 and for MELD, 0.644 ( P = .4) in period 1. In period 2, the ROC curve for CTP was 0.680 and for MELD, 0.718 ( P = .4). Conclusion Patient survival on the waiting list for liver transplantation did not change at 1 year after the introduction of the MELD.</abstract><cop>Amsterdam</cop><pub>Elsevier Inc</pub><pmid>20304153</pmid><doi>10.1016/j.transproceed.2010.01.028</doi><tpages>5</tpages></addata></record> |
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subjects | Adult Bilirubin - blood Biological and medical sciences Brazil Creatinine - blood Female Fundamental and applied biological sciences. Psychology Fundamental immunology Gastroenterology. Liver. Pancreas. Abdomen Humans Liver Diseases - classification Liver Diseases - surgery Liver Failure - mortality Liver Failure - surgery Liver Transplantation - statistics & numerical data Liver. Biliary tract. Portal circulation. Exocrine pancreas Male Medical sciences Middle Aged Models, Biological Other diseases. Semiology Predictive Value of Tests Regression Analysis ROC Curve Serum Albumin - metabolism Surgery Surgery (general aspects). Transplantations, organ and tissue grafts. Graft diseases Survival Rate Survivors Time Factors Tissue, organ and graft immunology Waiting Lists |
title | Survival Before and After Model for End-stage Liver Disease Score Introduction on the Brazilian Liver Transplant Waiting List |
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