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Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity

BACKGROUND: Estimated pulse wave velocity (ePWV) has revealed excellent performance in predicting cardiovascular disease (CVD) risk. However, whether ePWV predicts all-cause mortality and CVD mortality in populations with obesity remains elusive. METHODS: We performed a prospective cohort including...

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Autores principales: Li, Daidi, Cao, Feng, Cheng, Wenke, Xu, Yanyan, Yang, Chuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997019/
https://www.ncbi.nlm.nih.gov/pubmed/36894988
http://dx.doi.org/10.1186/s13098-023-01011-2
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author Li, Daidi
Cao, Feng
Cheng, Wenke
Xu, Yanyan
Yang, Chuang
author_facet Li, Daidi
Cao, Feng
Cheng, Wenke
Xu, Yanyan
Yang, Chuang
author_sort Li, Daidi
collection PubMed
description BACKGROUND: Estimated pulse wave velocity (ePWV) has revealed excellent performance in predicting cardiovascular disease (CVD) risk. However, whether ePWV predicts all-cause mortality and CVD mortality in populations with obesity remains elusive. METHODS: We performed a prospective cohort including 49,116 participants from the National Health and Nutrition Examination Survey from 2005 to 2014. Arterial stiffness was evaluated by ePWV. Weighted univariate, multivariate Cox regression and receiver operating characteristic curve (ROC) analysis was used to assess the effects of ePWV on the risk of all-cause and CVD mortality. In addition, the two-piecewise linear regression analysis was used to describe the trend of ePWV affecting mortality and identify the thresholds that significantly affect mortality. RESULTS: A total of 9929 participants with obesity with ePWV data and 833 deaths were enrolled. Based on the multivariate Cox regression results, the high ePWV group had a 1.25-fold higher risk of all-cause mortality and a 5.76-fold higher risk of CVD mortality than the low-ePWV group. All-cause and CVD mortality risk increased by 123% and 44%, respectively, for every 1 m/s increase in ePWV. ROC results showed that ePWV had an excellent accuracy in predicting all-cause mortality (AUC = 0.801) and CVD mortality (AUC = 0.806). Furthermore, the two-piecewise linear regression analysis exhibited that the minimal threshold at which ePWV affected participant mortality was 6.7 m/s for all-cause mortality and 7.2 m/s for CVD mortality. CONCLUSIONS: ePWV was an independent risk factor for mortality in populations with obesity. High ePWV levels were associated with an increased all-cause and CVD mortality. Thus, ePWV can be considered a novel biomarker to assess mortality risk in patients with obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01011-2.
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spelling pubmed-99970192023-03-10 Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity Li, Daidi Cao, Feng Cheng, Wenke Xu, Yanyan Yang, Chuang Diabetol Metab Syndr Research BACKGROUND: Estimated pulse wave velocity (ePWV) has revealed excellent performance in predicting cardiovascular disease (CVD) risk. However, whether ePWV predicts all-cause mortality and CVD mortality in populations with obesity remains elusive. METHODS: We performed a prospective cohort including 49,116 participants from the National Health and Nutrition Examination Survey from 2005 to 2014. Arterial stiffness was evaluated by ePWV. Weighted univariate, multivariate Cox regression and receiver operating characteristic curve (ROC) analysis was used to assess the effects of ePWV on the risk of all-cause and CVD mortality. In addition, the two-piecewise linear regression analysis was used to describe the trend of ePWV affecting mortality and identify the thresholds that significantly affect mortality. RESULTS: A total of 9929 participants with obesity with ePWV data and 833 deaths were enrolled. Based on the multivariate Cox regression results, the high ePWV group had a 1.25-fold higher risk of all-cause mortality and a 5.76-fold higher risk of CVD mortality than the low-ePWV group. All-cause and CVD mortality risk increased by 123% and 44%, respectively, for every 1 m/s increase in ePWV. ROC results showed that ePWV had an excellent accuracy in predicting all-cause mortality (AUC = 0.801) and CVD mortality (AUC = 0.806). Furthermore, the two-piecewise linear regression analysis exhibited that the minimal threshold at which ePWV affected participant mortality was 6.7 m/s for all-cause mortality and 7.2 m/s for CVD mortality. CONCLUSIONS: ePWV was an independent risk factor for mortality in populations with obesity. High ePWV levels were associated with an increased all-cause and CVD mortality. Thus, ePWV can be considered a novel biomarker to assess mortality risk in patients with obesity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13098-023-01011-2. BioMed Central 2023-03-09 /pmc/articles/PMC9997019/ /pubmed/36894988 http://dx.doi.org/10.1186/s13098-023-01011-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Li, Daidi
Cao, Feng
Cheng, Wenke
Xu, Yanyan
Yang, Chuang
Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title_full Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title_fullStr Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title_full_unstemmed Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title_short Predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
title_sort predictive value of estimated pulse wave velocity for cardiovascular and all-cause mortality in individuals with obesity
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997019/
https://www.ncbi.nlm.nih.gov/pubmed/36894988
http://dx.doi.org/10.1186/s13098-023-01011-2
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