Association of incremental pulse wave velocity with cardiometabolic risk factors

Abstract We investigate the association of incremental pulse wave velocity (ΔC; the change in pulse wave velocity over a cardiac cycle) with cardiometabolic risk factors and report the first and (currently) the largest population-level data. In a cross-sectional study performed in a cohort of 1373 g...

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Autores principales: P. M. Nabeel, Dinu S. Chandran, Prabhdeep Kaur, Sadagopan Thanikachalam, Mohanasankar Sivaprakasam, Jayaraj Joseph
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/8f5883df1c544a22b87a0b3bf1287a25
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spelling oai:doaj.org-article:8f5883df1c544a22b87a0b3bf1287a252021-12-02T16:06:43ZAssociation of incremental pulse wave velocity with cardiometabolic risk factors10.1038/s41598-021-94723-22045-2322https://doaj.org/article/8f5883df1c544a22b87a0b3bf1287a252021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94723-2https://doaj.org/toc/2045-2322Abstract We investigate the association of incremental pulse wave velocity (ΔC; the change in pulse wave velocity over a cardiac cycle) with cardiometabolic risk factors and report the first and (currently) the largest population-level data. In a cross-sectional study performed in a cohort of 1373 general population participants, ΔC was measured using clinically validated ARTSENS devices. There were 455 participants in the metabolic syndrome (MetS) group whose average ΔC was ~ 28.4% higher than that of the non-metabolic syndrome (Non-MetS) group. Females with MetS showed ~ 10.9% elevated average ΔC compared to males of the Non-MetS group. As the number of risk factors increased from 0 to 5, the average ΔC escalated by ~ 55% (1.50 ± 0.52 m/s to 2.33 ± 0.91 m/s). A gradual increase in average ΔC was observed across each decade from the younger (ΔC = 1.53 ± 0.54 m/s) to geriatric (ΔC = 2.34 ± 0.59 m/s) populations. There was also a significant difference in ΔC among the blood pressure categories. Most importantly, ΔC ≥ 1.81 m/s predicted a constellation of ≥ 3 risks with AUC = 0.615, OR = 2.309, and RR = 1.703. All statistical trends remained significant, even after adjusting for covariates. The study provides initial evidence for the potential use of ΔC as a tool for the early detection and screening of vascular dysfunction, which opens up avenues for active clinical and epidemiological studies. Further investigations are encouraged to confirm and establish the causative mechanism for the reported associations.P. M. NabeelDinu S. ChandranPrabhdeep KaurSadagopan ThanikachalamMohanasankar SivaprakasamJayaraj JosephNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
P. M. Nabeel
Dinu S. Chandran
Prabhdeep Kaur
Sadagopan Thanikachalam
Mohanasankar Sivaprakasam
Jayaraj Joseph
Association of incremental pulse wave velocity with cardiometabolic risk factors
description Abstract We investigate the association of incremental pulse wave velocity (ΔC; the change in pulse wave velocity over a cardiac cycle) with cardiometabolic risk factors and report the first and (currently) the largest population-level data. In a cross-sectional study performed in a cohort of 1373 general population participants, ΔC was measured using clinically validated ARTSENS devices. There were 455 participants in the metabolic syndrome (MetS) group whose average ΔC was ~ 28.4% higher than that of the non-metabolic syndrome (Non-MetS) group. Females with MetS showed ~ 10.9% elevated average ΔC compared to males of the Non-MetS group. As the number of risk factors increased from 0 to 5, the average ΔC escalated by ~ 55% (1.50 ± 0.52 m/s to 2.33 ± 0.91 m/s). A gradual increase in average ΔC was observed across each decade from the younger (ΔC = 1.53 ± 0.54 m/s) to geriatric (ΔC = 2.34 ± 0.59 m/s) populations. There was also a significant difference in ΔC among the blood pressure categories. Most importantly, ΔC ≥ 1.81 m/s predicted a constellation of ≥ 3 risks with AUC = 0.615, OR = 2.309, and RR = 1.703. All statistical trends remained significant, even after adjusting for covariates. The study provides initial evidence for the potential use of ΔC as a tool for the early detection and screening of vascular dysfunction, which opens up avenues for active clinical and epidemiological studies. Further investigations are encouraged to confirm and establish the causative mechanism for the reported associations.
format article
author P. M. Nabeel
Dinu S. Chandran
Prabhdeep Kaur
Sadagopan Thanikachalam
Mohanasankar Sivaprakasam
Jayaraj Joseph
author_facet P. M. Nabeel
Dinu S. Chandran
Prabhdeep Kaur
Sadagopan Thanikachalam
Mohanasankar Sivaprakasam
Jayaraj Joseph
author_sort P. M. Nabeel
title Association of incremental pulse wave velocity with cardiometabolic risk factors
title_short Association of incremental pulse wave velocity with cardiometabolic risk factors
title_full Association of incremental pulse wave velocity with cardiometabolic risk factors
title_fullStr Association of incremental pulse wave velocity with cardiometabolic risk factors
title_full_unstemmed Association of incremental pulse wave velocity with cardiometabolic risk factors
title_sort association of incremental pulse wave velocity with cardiometabolic risk factors
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/8f5883df1c544a22b87a0b3bf1287a25
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AT sadagopanthanikachalam associationofincrementalpulsewavevelocitywithcardiometabolicriskfactors
AT mohanasankarsivaprakasam associationofincrementalpulsewavevelocitywithcardiometabolicriskfactors
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