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Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients
BACKGROUND: The purpose of this study was, in high-risk patients, to simultaneously estimate the effect of metabolic syndrome (MetS) on diastolic or systolic heart failure (DHF or SHF), to evaluate MetS predictive value for both outcomes. METHOD: We retrospective enrolled 347 high-risk patients who...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192327/ https://www.ncbi.nlm.nih.gov/pubmed/25249273 http://dx.doi.org/10.1186/1471-2261-14-124 |
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author | Tang, Zi-Hui Wang, Lin Zeng, Fangfang Zhang, Keqin |
author_facet | Tang, Zi-Hui Wang, Lin Zeng, Fangfang Zhang, Keqin |
author_sort | Tang, Zi-Hui |
collection | PubMed |
description | BACKGROUND: The purpose of this study was, in high-risk patients, to simultaneously estimate the effect of metabolic syndrome (MetS) on diastolic or systolic heart failure (DHF or SHF), to evaluate MetS predictive value for both outcomes. METHOD: We retrospective enrolled 347 high-risk patients who were scheduled to undergo coronary angiography. They were categorized into DHF cases, SHF cases and reference group. The association of MetS with DHF or SHF was assessed by multinomial logistic regression model. The shared contributor to both outcomes was estimated by bivariate association analysis. The predictive performance of MetS severity score was evaluated using the area under the receiver-operating characteristic curve (AUC). RESULT: Hypertension (HT) and triglycerides (TG) were detected to independently associate with DHF (P = 0.044 and 0.049, respectively), while HT and fasting plasma glucose (FPG) independently associate with SHF (P = 0.036 and 0.016, respectively). Bivariate association analysis showed that HT as a shared predictor to both outcomes (P = 0.028). MetS severity score significantly associated with DHF or SHF independently (P = 0.004 and 0.043, respectively), and was a shared predictor to both outcomes (P = 0.049), and showed a high value in predicting DHF and SHF (AUC = 0.701 and 0.722, respectively). CONCLUSION: Our findings signify that MetS is an independently shared predictor of DHF and SHF, and HT is also independently associated with both outcomes in high-risk patients. Prevalence of DHF or SHF trends to increase with increasing MetS severity showing high predictive value for both outcomes. |
format | Online Article Text |
id | pubmed-4192327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41923272014-10-11 Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients Tang, Zi-Hui Wang, Lin Zeng, Fangfang Zhang, Keqin BMC Cardiovasc Disord Research Article BACKGROUND: The purpose of this study was, in high-risk patients, to simultaneously estimate the effect of metabolic syndrome (MetS) on diastolic or systolic heart failure (DHF or SHF), to evaluate MetS predictive value for both outcomes. METHOD: We retrospective enrolled 347 high-risk patients who were scheduled to undergo coronary angiography. They were categorized into DHF cases, SHF cases and reference group. The association of MetS with DHF or SHF was assessed by multinomial logistic regression model. The shared contributor to both outcomes was estimated by bivariate association analysis. The predictive performance of MetS severity score was evaluated using the area under the receiver-operating characteristic curve (AUC). RESULT: Hypertension (HT) and triglycerides (TG) were detected to independently associate with DHF (P = 0.044 and 0.049, respectively), while HT and fasting plasma glucose (FPG) independently associate with SHF (P = 0.036 and 0.016, respectively). Bivariate association analysis showed that HT as a shared predictor to both outcomes (P = 0.028). MetS severity score significantly associated with DHF or SHF independently (P = 0.004 and 0.043, respectively), and was a shared predictor to both outcomes (P = 0.049), and showed a high value in predicting DHF and SHF (AUC = 0.701 and 0.722, respectively). CONCLUSION: Our findings signify that MetS is an independently shared predictor of DHF and SHF, and HT is also independently associated with both outcomes in high-risk patients. Prevalence of DHF or SHF trends to increase with increasing MetS severity showing high predictive value for both outcomes. BioMed Central 2014-09-24 /pmc/articles/PMC4192327/ /pubmed/25249273 http://dx.doi.org/10.1186/1471-2261-14-124 Text en © Tang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. 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 work is properly credited. 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. |
spellingShingle | Research Article Tang, Zi-Hui Wang, Lin Zeng, Fangfang Zhang, Keqin Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title | Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title_full | Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title_fullStr | Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title_full_unstemmed | Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title_short | Association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
title_sort | association and predictive value analysis for metabolic syndrome on systolic and diastolic heart failure in high-risk patients |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4192327/ https://www.ncbi.nlm.nih.gov/pubmed/25249273 http://dx.doi.org/10.1186/1471-2261-14-124 |
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