Literature DB >> 31446803

Identification of Distinct Arterial Waveform Clusters and a Longitudinal Evaluation of Their Clinical Usefulness.

John D Sluyter1, Alun D Hughes2,3, Carlos A Camargo4, Simon A McG Thom5, Kim H Parker6, Bernhard Hametner7, Siegfried Wassertheurer7, Robert Scragg1.   

Abstract

Clustering of arterial blood pressure (BP) waveform parameters could summarize complex information into distinct elements, which could be used to investigate cumulative (nonredundant) associations. We investigated this hypothesis in a large, adult population-based study (ViDA trial [Vitamin D Assessment] trial). To interpret the clusters and evaluate their usefulness, we examined their predictors and associations with cardiovascular events. In 4253 adults (mean age 65 years; 55% male) without a prior cardiovascular event, suprasystolic oscillometry was performed, yielding aortic pressure waveforms and several hemodynamic parameters. Participants were followed up for 4.6 years (median), accruing 300 cardiovascular events. Principal component analysis reduced 14 arterial waveform parameters to 3 uncorrelated factors that together explained 90% of the variability of the original data. Factors 1, 2, and 3 appeared to represent BP pulsatility, mean BP, and wave reflection, respectively. Across 6 antihypertensive drug classes, there were no differences in brachial systolic (P=0.23) and diastolic (P=0.13) BP; but there were significant variations in factor 3 (P<0.0001), especially for β-blocker use. The first and third factors were positively associated with cardiovascular events (multivariable-adjusted standardized hazard ratio [95% CI]=1.33 [1.18-1.50] and 1.15 [1.02-1.30], respectively), whereas the second factor had a J-shaped relationship, with a nadir corresponding to a brachial diastolic BP of ≈75 mm Hg. In conclusion, BP pulsatility, mean BP, and wave reflection are prognostically meaningful, distinct aspects of arterial function that can be used to summarize physiological variations in multiple arterial waveform parameters and identify truly cumulative associations when used as cardiovascular risk outcomes.

Entities:  

Keywords:  blood pressure; cardiovascular disease; hypertension; principal component analysis; risk

Mesh:

Substances:

Year:  2019        PMID: 31446803      PMCID: PMC6742504          DOI: 10.1161/HYPERTENSIONAHA.119.12625

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  29 in total

Review 1.  Ageing and hypertension: the assessment of blood pressure indices in predicting coronary heart disease.

Authors:  S S Franklin
Journal:  J Hypertens Suppl       Date:  1999-12

2.  Reservoir and excess pressures predict cardiovascular events in high-risk patients.

Authors:  Bernhard Hametner; Siegfried Wassertheurer; Alun D Hughes; Kim H Parker; Thomas Weber; Bernd Eber
Journal:  Int J Cardiol       Date:  2013-11-23       Impact factor: 4.164

3.  Wave reflection predicts cardiovascular events in hypertensive individuals independent of blood pressure and other cardiovascular risk factors: an ASCOT (Anglo-Scandinavian Cardiac Outcome Trial) substudy.

Authors:  Charlotte Manisty; Jamil Mayet; Robyn J Tapp; Kim H Parker; Peter Sever; Neil R Poulter; Neil H Poulter; Simon A McG Thom; Alun D Hughes
Journal:  J Am Coll Cardiol       Date:  2010-06-29       Impact factor: 24.094

4.  Wave reflection quantification based on pressure waveforms alone--methods, comparison, and clinical covariates.

Authors:  Bernhard Hametner; Siegfried Wassertheurer; Johannes Kropf; Christopher Mayer; Andreas Holzinger; Bernd Eber; Thomas Weber
Journal:  Comput Methods Programs Biomed       Date:  2012-10-27       Impact factor: 5.428

5.  Oscillometric estimation of aortic pulse wave velocity: comparison with intra-aortic catheter measurements.

Authors:  Bernhard Hametner; Siegfried Wassertheurer; Johannes Kropf; Christopher Mayer; Bernd Eber; Thomas Weber
Journal:  Blood Press Monit       Date:  2013-06       Impact factor: 1.444

6.  Amlodipine-valsartan combination decreases central systolic blood pressure more effectively than the amlodipine-atenolol combination: the EXPLOR study.

Authors:  Pierre Boutouyrie; Assya Achouba; Patrick Trunet; Stéphane Laurent
Journal:  Hypertension       Date:  2010-04-19       Impact factor: 10.190

7.  Impact of heart rate on central aortic pressures and hemodynamics: analysis from the CAFE (Conduit Artery Function Evaluation) study: CAFE-Heart Rate.

Authors:  Bryan Williams; Peter S Lacy
Journal:  J Am Coll Cardiol       Date:  2009-08-18       Impact factor: 24.094

8.  Wave reflections, assessed with a novel method for pulse wave separation, are associated with end-organ damage and clinical outcomes.

Authors:  Thomas Weber; Siegfried Wassertheurer; Martin Rammer; Anton Haiden; Bernhard Hametner; Bernd Eber
Journal:  Hypertension       Date:  2012-05-14       Impact factor: 10.190

9.  A comparison of different approaches to unravel the latent structure within metabolic syndrome.

Authors:  Andrew Woolston; Yu-Kang Tu; Paul D Baxter; Mark S Gilthorpe
Journal:  PLoS One       Date:  2012-04-02       Impact factor: 3.240

10.  A comparison of the dietary patterns derived by principal component analysis and cluster analysis in older Australians.

Authors:  Maree G Thorpe; Catherine M Milte; David Crawford; Sarah A McNaughton
Journal:  Int J Behav Nutr Phys Act       Date:  2016-02-29       Impact factor: 6.457

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  3 in total

Review 1.  Physiological and clinical insights from reservoir-excess pressure analysis.

Authors:  Matthew K Armstrong; Martin G Schultz; Alun D Hughes; Dean S Picone; James E Sharman
Journal:  J Hum Hypertens       Date:  2021-03-09       Impact factor: 3.012

2.  Is There Proof of Extraskeletal Benefits From Vitamin D Supplementation From Recent Mega Trials of Vitamin D?

Authors:  Robert Scragg; John D Sluyter
Journal:  JBMR Plus       Date:  2021-01-04

3.  Optimized design of an arterial network model reproduces characteristic central and peripheral haemodynamic waveform features of young adults.

Authors:  Avinash Kondiboyina; Hilary A Harrington; Joseph J Smolich; Michael M H Cheung; Jonathan P Mynard
Journal:  J Physiol       Date:  2022-08-02       Impact factor: 6.228

  3 in total

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