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Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes
BACKGROUND: In the general population, metabolic syndrome (MetS) is predictive of major adverse cardiovascular events (MACE). Waist circumference (WC), a component of the MetS criteria, is linked to visceral obesity, which in turn is associated with MACE. However, in haemodialysis (HD) patients, the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427285/ https://www.ncbi.nlm.nih.gov/pubmed/32792012 http://dx.doi.org/10.1186/s12882-020-02004-3 |
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author | Delautre, Arnaud Chantrel, François Dimitrov, Yves Klein, Alexandre Imhoff, Olivier Muller, Clotilde Schauder, Nicole Hannedouche, Thierry Krummel, Thierry |
author_facet | Delautre, Arnaud Chantrel, François Dimitrov, Yves Klein, Alexandre Imhoff, Olivier Muller, Clotilde Schauder, Nicole Hannedouche, Thierry Krummel, Thierry |
author_sort | Delautre, Arnaud |
collection | PubMed |
description | BACKGROUND: In the general population, metabolic syndrome (MetS) is predictive of major adverse cardiovascular events (MACE). Waist circumference (WC), a component of the MetS criteria, is linked to visceral obesity, which in turn is associated with MACE. However, in haemodialysis (HD) patients, the association between MetS, WC and MACE is unclear. METHODS: In a cross-sectional study of 1000 HD patients, we evaluated the prevalence and characterised the clinical predictors of MetS. The relationship between MetS and its components, alone or in combination, and MACE (coronary diseases, peripheral arteriopathy, stroke or cardiac failure), was studied using receiver operating characteristics (ROC) curves and logistic regression. RESULTS: A total of 753 patients were included between October 2011 and April 2013. The prevalence of MetS was 68.5%. Waist circumference (> 88 cm in women, 102 cm in men) was the best predictor of MetS (sensitivity 80.2; specificity 82.3; AUC 0.80; p < 0.05). In multivariate analysis, MetS was associated with MACE (OR: 1.85; 95CI 1.24–2.75; p < 0.01), but not WC alone. There was a stronger association between the combination of abdominal obesity, hypertriglyceridaemia and low high-density lipoprotein cholesterol with MACE after exclusion of impaired fasting glucose and hypertension. CONCLUSIONS: MetS is frequent and significantly associated with MACE in our haemodialysis cohort and probably in other European dialysis populations as well. In HD patients, a new simplified definition could be proposed in keeping with the concept of the “hypertriglyceridaemic waist”. |
format | Online Article Text |
id | pubmed-7427285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74272852020-08-16 Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes Delautre, Arnaud Chantrel, François Dimitrov, Yves Klein, Alexandre Imhoff, Olivier Muller, Clotilde Schauder, Nicole Hannedouche, Thierry Krummel, Thierry BMC Nephrol Research Article BACKGROUND: In the general population, metabolic syndrome (MetS) is predictive of major adverse cardiovascular events (MACE). Waist circumference (WC), a component of the MetS criteria, is linked to visceral obesity, which in turn is associated with MACE. However, in haemodialysis (HD) patients, the association between MetS, WC and MACE is unclear. METHODS: In a cross-sectional study of 1000 HD patients, we evaluated the prevalence and characterised the clinical predictors of MetS. The relationship between MetS and its components, alone or in combination, and MACE (coronary diseases, peripheral arteriopathy, stroke or cardiac failure), was studied using receiver operating characteristics (ROC) curves and logistic regression. RESULTS: A total of 753 patients were included between October 2011 and April 2013. The prevalence of MetS was 68.5%. Waist circumference (> 88 cm in women, 102 cm in men) was the best predictor of MetS (sensitivity 80.2; specificity 82.3; AUC 0.80; p < 0.05). In multivariate analysis, MetS was associated with MACE (OR: 1.85; 95CI 1.24–2.75; p < 0.01), but not WC alone. There was a stronger association between the combination of abdominal obesity, hypertriglyceridaemia and low high-density lipoprotein cholesterol with MACE after exclusion of impaired fasting glucose and hypertension. CONCLUSIONS: MetS is frequent and significantly associated with MACE in our haemodialysis cohort and probably in other European dialysis populations as well. In HD patients, a new simplified definition could be proposed in keeping with the concept of the “hypertriglyceridaemic waist”. BioMed Central 2020-08-13 /pmc/articles/PMC7427285/ /pubmed/32792012 http://dx.doi.org/10.1186/s12882-020-02004-3 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Delautre, Arnaud Chantrel, François Dimitrov, Yves Klein, Alexandre Imhoff, Olivier Muller, Clotilde Schauder, Nicole Hannedouche, Thierry Krummel, Thierry Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title | Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title_full | Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title_fullStr | Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title_full_unstemmed | Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title_short | Metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
title_sort | metabolic syndrome in haemodialysis patients: prevalence, determinants and association to cardiovascular outcomes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427285/ https://www.ncbi.nlm.nih.gov/pubmed/32792012 http://dx.doi.org/10.1186/s12882-020-02004-3 |
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