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A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death after renal transplantation with a high prevalence in dialysis patients. It is still a matter of debate how to assess the cardiovascular risk in kidney transplant candidates. Several approaches and scores exist and found their wa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074508/ https://www.ncbi.nlm.nih.gov/pubmed/27768693 http://dx.doi.org/10.1371/journal.pone.0161927 |
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author | Reuter, Stefan Reiermann, Stefanie Malyar, Viola Schütte-Nütgen, Katharina Schmidt, Renè Pavenstädt, Hermann Reinecke, Holger Suwelack, Barbara |
author_facet | Reuter, Stefan Reiermann, Stefanie Malyar, Viola Schütte-Nütgen, Katharina Schmidt, Renè Pavenstädt, Hermann Reinecke, Holger Suwelack, Barbara |
author_sort | Reuter, Stefan |
collection | PubMed |
description | BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death after renal transplantation with a high prevalence in dialysis patients. It is still a matter of debate how to assess the cardiovascular risk in kidney transplant candidates. Several approaches and scores exist and found their way into the guidelines. METHODS AND RESULTS: We herein assessed PROCAM, Framingham, ESC-SCORE and our own dedicated algorithm in patients applying for renal transplantation at our transplantation center between July 2006 and August 2009. Data of 347 consecutive patients were recorded at baseline and during a follow-up of 4.1 years regarding cardiovascular (CV) events and event-free and overall survival. During follow-up 31 (8.9%) patients died, 24 (6.9%) myocardial infarctions occurred and 19 (5.5%) patients received a new diagnosis of cerebrovascular disease. Predictors for event-free survival identified by univariable Cox regression analysis were age at start of dialysis, ESC-SCORE as well as our own score. Final multivariable model with a stepwise model building procedure revealed age at start of dialysis and smoking to be prognostic for event-free (hazard ratio 1.07/year and 2.15) and overall survival (1.10/year and 3.72). CONCLUSION: Comparison of CV risk assessment scores showed that ESC-SCORE most robustly predicted event-free and overall survival in our cohort. We conclude that CV risk assessment by ESC-SCORE can be reasonably performed in kidney transplant candidates. |
format | Online Article Text |
id | pubmed-5074508 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-50745082016-11-04 A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation Reuter, Stefan Reiermann, Stefanie Malyar, Viola Schütte-Nütgen, Katharina Schmidt, Renè Pavenstädt, Hermann Reinecke, Holger Suwelack, Barbara PLoS One Research Article BACKGROUND: Cardiovascular disease (CVD) is the leading cause of death after renal transplantation with a high prevalence in dialysis patients. It is still a matter of debate how to assess the cardiovascular risk in kidney transplant candidates. Several approaches and scores exist and found their way into the guidelines. METHODS AND RESULTS: We herein assessed PROCAM, Framingham, ESC-SCORE and our own dedicated algorithm in patients applying for renal transplantation at our transplantation center between July 2006 and August 2009. Data of 347 consecutive patients were recorded at baseline and during a follow-up of 4.1 years regarding cardiovascular (CV) events and event-free and overall survival. During follow-up 31 (8.9%) patients died, 24 (6.9%) myocardial infarctions occurred and 19 (5.5%) patients received a new diagnosis of cerebrovascular disease. Predictors for event-free survival identified by univariable Cox regression analysis were age at start of dialysis, ESC-SCORE as well as our own score. Final multivariable model with a stepwise model building procedure revealed age at start of dialysis and smoking to be prognostic for event-free (hazard ratio 1.07/year and 2.15) and overall survival (1.10/year and 3.72). CONCLUSION: Comparison of CV risk assessment scores showed that ESC-SCORE most robustly predicted event-free and overall survival in our cohort. We conclude that CV risk assessment by ESC-SCORE can be reasonably performed in kidney transplant candidates. Public Library of Science 2016-10-21 /pmc/articles/PMC5074508/ /pubmed/27768693 http://dx.doi.org/10.1371/journal.pone.0161927 Text en © 2016 Reuter et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Reuter, Stefan Reiermann, Stefanie Malyar, Viola Schütte-Nütgen, Katharina Schmidt, Renè Pavenstädt, Hermann Reinecke, Holger Suwelack, Barbara A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title | A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title_full | A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title_fullStr | A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title_full_unstemmed | A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title_short | A Comparison of Different Algorithms for the Assessment of Cardiovascular Risk in Patients at Waiting List for Kidney Transplantation |
title_sort | comparison of different algorithms for the assessment of cardiovascular risk in patients at waiting list for kidney transplantation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5074508/ https://www.ncbi.nlm.nih.gov/pubmed/27768693 http://dx.doi.org/10.1371/journal.pone.0161927 |
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