Evidence map›Paper›PMID 25633054›Full record

ArticleHeart and vessels2016

Comparison of pulse wave velocity assessed by three different techniques: Arteriograph, Complior, and Echo-tracking.

Diana J Mihalcea, Maria Florescu, Berenice M C Suran, Oana A Enescu, Raluca I Mincu, Stefania Magda, Natalia Patrascu, Dragos Vinereanu

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Article in Heart and vessels, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

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10citing papers in PubMed
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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
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  5. Article
  6. Article
  7. Article
  8. Review
  9. Ambulatory arterial stiffness in chronic kidney disease: a methodological review.Hypertension research : official journal of the Japanese Society of Hypertension · 2016
    Review
  10. Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Diana J MihalceaUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Maria FlorescuUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Berenice M C SuranUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Oana A EnescuUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Raluca I MincuUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Stefania MagdaUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Natalia PatrascuUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania.
Dragos VinereanuUniversity and Emergency Hospital, Splaiul Independentei 169, 050098, Bucharest, Romania. vinereanu@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arterial stiffness estimated by pulse wave velocity (PWV) is an independent predictor of cardiovascular morbidity and mortality. Although recommended by the current guidelines, clinical applicability of this parameter is difficult, due to differences between the various techniques used to measure it and to biological variability. Our aim was to compare PWV assessed by 3 different commercially available systems. 100 subjects (51 ± 16 years, 45 men) were evaluated using the 3 methods: an oscillometric technique (Arteriograph, PWV-A); a piezo-electric method (Complior, PWV-C); and an high-resolution ultrasound technique implemented with an Echo-tracking system (Aloka, PWV-E). Conventional biological markers were measured. Correlations of PWV measured by the 3 methods were poor (r = 0.39, r = 0.39, and r = 0.31 for PWV-A vs. PWV-C, PWV-A vs. PWV-E, and PWV-C vs. PWV-E, respectively, all p < 0.05). By Bland-Altman analysis, mean difference (±SD) of PWV-A vs. PWV-C was -1.9 ± 2.0 m/s, of PWV-A vs. PWV-E -3.6 ± 1.9 m/s, and of PWV-C vs. PWV-E -2.7 ± 1.9 m/s, with a wide coefficient of variation (22.3, 25.7, and 25.7 %, respectively). As expected, PWV-A, PWV-C, and PWV-E correlated with other arterial stiffness parameters, such as intima-media thickness (r = 0.22, r = 0.22, and r = 0.36, respectively), E p (r = 0.37, r = 0.26, and r = 0.94, respectively), and augmentation index measured by Arteriograph method (r = 0.66, r = 0.35, and r = 0.26, respectively); all p < 0.05. Assessment of PWV is markedly dependent on the technique used to measure it, related to various methods for measuring traveled distance of the arterial wave. Our results suggest the urgent need to establish reference values of PWV for each of these techniques, separately, to be used in routine clinical practice.

Indexed as

Carotid Intima-Media ThicknessAngiographyBlood Flow VelocityCardiovascular DiseasesFemaleHumansMaleMiddle AgedPulsatile FlowPulse Wave AnalysisReproducibility of ResultsVascular ResistanceVascular StiffnessArterial stiffnessArteriographCompliorEcho-trackingPulse wave velocity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.