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Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list
BACKGROUND: The prevalence of cardiovascular disease is high among patients with chronic kidney disease and cardiovascular events (CVE) remain the leading cause of death after kidney transplantation (KT). We performed a retrospective analysis of 389 KT recipients to assess if the European Society of...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147301/ https://www.ncbi.nlm.nih.gov/pubmed/32296518 http://dx.doi.org/10.1093/ckj/sfz041 |
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author | Herzog, Anna Laura Kalogirou, Charis Wanner, Christoph Lopau, Kai |
author_facet | Herzog, Anna Laura Kalogirou, Charis Wanner, Christoph Lopau, Kai |
author_sort | Herzog, Anna Laura |
collection | PubMed |
description | BACKGROUND: The prevalence of cardiovascular disease is high among patients with chronic kidney disease and cardiovascular events (CVE) remain the leading cause of death after kidney transplantation (KT). We performed a retrospective analysis of 389 KT recipients to assess if the European Society of Cardiology Score (ESC-Score), Framingham Heart Study Score (FRAMINGHAM), Prospective Cardiovascular Munster Study Score (PROCAM-Score) or Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network Score (ASSIGN-Score) algorithms can predict cardiovascular risk after KT at the time of entering the waiting list. METHODS: 389 KT candidates were scored by the time of entering the waiting list. Pearsons chi-square test, cox regression analysis and survival estimates were performed to evaluate the reliability of the cardiovascular scoring models after successful KT. RESULTS: During a follow-up of 8 ± 5.8 years, 96 patients (30%) died due to cardiovascular problems, whereas 13.9% suffered non-fatal CVE. Graft loss occurred in 84 patients (21.6%). Predictors of CVE, survival and graft loss were age and the length of end-stage kidney disease. All scores performed well in assessing the risk for CVE (P < 0.01). Receiver-operating characteristic analysis using the ESC-SCORE, as an example, suggested a cut-off for risk stratification and clinical decisions. CONCLUSIONS: We found all tested scores were reliable for cardiovascular assessment. We suggest using cardiac scores for risk assessment before KT and then taking further steps according to current guidelines. |
format | Online Article Text |
id | pubmed-7147301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71473012020-04-15 Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list Herzog, Anna Laura Kalogirou, Charis Wanner, Christoph Lopau, Kai Clin Kidney J Original Articles BACKGROUND: The prevalence of cardiovascular disease is high among patients with chronic kidney disease and cardiovascular events (CVE) remain the leading cause of death after kidney transplantation (KT). We performed a retrospective analysis of 389 KT recipients to assess if the European Society of Cardiology Score (ESC-Score), Framingham Heart Study Score (FRAMINGHAM), Prospective Cardiovascular Munster Study Score (PROCAM-Score) or Assessing cardiovascular risk using Scottish Intercollegiate Guidelines Network Score (ASSIGN-Score) algorithms can predict cardiovascular risk after KT at the time of entering the waiting list. METHODS: 389 KT candidates were scored by the time of entering the waiting list. Pearsons chi-square test, cox regression analysis and survival estimates were performed to evaluate the reliability of the cardiovascular scoring models after successful KT. RESULTS: During a follow-up of 8 ± 5.8 years, 96 patients (30%) died due to cardiovascular problems, whereas 13.9% suffered non-fatal CVE. Graft loss occurred in 84 patients (21.6%). Predictors of CVE, survival and graft loss were age and the length of end-stage kidney disease. All scores performed well in assessing the risk for CVE (P < 0.01). Receiver-operating characteristic analysis using the ESC-SCORE, as an example, suggested a cut-off for risk stratification and clinical decisions. CONCLUSIONS: We found all tested scores were reliable for cardiovascular assessment. We suggest using cardiac scores for risk assessment before KT and then taking further steps according to current guidelines. Oxford University Press 2019-04-21 /pmc/articles/PMC7147301/ /pubmed/32296518 http://dx.doi.org/10.1093/ckj/sfz041 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of ERA-EDTA. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Articles Herzog, Anna Laura Kalogirou, Charis Wanner, Christoph Lopau, Kai Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title | Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title_full | Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title_fullStr | Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title_full_unstemmed | Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title_short | Comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
title_sort | comparison of different algorithms for the assessment of cardiovascular risk after kidney transplantation by the time of entering waiting list |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7147301/ https://www.ncbi.nlm.nih.gov/pubmed/32296518 http://dx.doi.org/10.1093/ckj/sfz041 |
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