New! Sign up for our free email newsletter.
Science News
from research organizations

Estimated pulse wave velocity predicts severe COVID

October 13, 2021
Newcastle University
Researchers found that estimated Pulse Wave Velocity (ePWV), a readily available marker of arterial stiffness, has been shown to be an effective addition in identifying patients at risk of mortality in hospital due to COVID-19.

Assessing the stiffness of the arteries could help identify patients most at risk of dying from Covid-19, new research has revealed.

Estimated pulse wave velocity (ePWV), a readily available marker of aortic stiffening, has been shown to be an effective addition in identifying patients at risk of death in hospital due to the virus.

Accurate risk stratification at hospital admission of these patients is of utmost clinical importance as it is needed to guide therapeutic strategies.

The research is published in Scientific Reports today by Professor Konstantinos Stellos and Visiting Clinical Professor Kimon Stamatelopoulos at Newcastle University, UK and the Newcastle Hospitals NHS Foundation Trust. It demonstrates that ePWV provides an additional clinical tool to refine risk stratification of hospitalized patients beyond established risk factors and scores.

The study was carried out in two cohorts of hospitalized Covid-19 patients; 471 in the Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle, UK and 266 in the University Hospital of Pisa, Tuscany, Italy and in a control cohort of 934 non-Covid-19 individuals in the Department of Clinical Therapeutics, National and Kapodistrian University of Athens, Athens, Greece.

It was found that the addition of ePWV to clinical predictive markers or a validated mortality score improved the prognostic value for in-hospital mortality and therefore could facilitate therapeutic decisions in acute Covid-19 disease.

Professor Stellos, Professor of Cardiovascular Medicine at Newcastle University and Heidelberg University, said: "Our findings suggest that increased aortic stiffening may serve as a predictor of mortality in Covid-19 infection reflecting a cumulative surrogate of ageing and high-risk cardiovascular profile."

The team found that the optimal prognostic ePWV value was 13.0 m/sec for predicting in-hospital mortality.

When the total cohort of patients with COVID-19 (n=737) was compared with the total control cohort (n=934), ePWV progressively increased across the controls, COVID-19 survivors and COVID-19 patients who didn't survive after controlling for age, sex, hypertension and other relevant factors. ePWV was significantly higher in COVID-19 patients as compared to their non-COVID-19 counterparts.

The readily available measure of arterial stiffness when used in addition to tools already recommended in clinical practice may facilitate therapeutic decisions in acute Covid-19 disease. The team will be continuing further research in this area to develop the technique and seek its validation into health service practice.

What is Estimated Pulse wave velocity?

Pulse-wave velocity (ePWV) is a measurement of aortic stiffness that is an independent predictor of cardiovascular risk and can be calculated by using age and blood pressure in a recently validated formula. It closely predicts the actual PWV assessed noninvasively by measuring the carotid and femoral pulse pressures, with sensors on the ankles and neck, and the time delay between the two or by other methods relying on pulse-wave analysis.

Story Source:

Materials provided by Newcastle University. Note: Content may be edited for style and length.

Journal Reference:

  1. Kimon Stamatelopoulos, Georgios Georgiopoulos, Kenneth F. Baker, Giusy Tiseo, Dimitrios Delialis, Charalampos Lazaridis, Greta Barbieri, Stefano Masi, Nikolaos I. Vlachogiannis, Kateryna Sopova, Alessandro Mengozzi, Lorenzo Ghiadoni, Ina Schim van der Loeff, Aidan T. Hanrath, Bajram Ajdini, Charalambos Vlachopoulos, Meletios A. Dimopoulos, Christopher J. A. Duncan, Marco Falcone, Konstantinos Stellos, Giusy Tiseo, Greta Barbieri, Stefano Masi, Alessandro Mengozzi, Lorenzo Ghiadoni, Marco Falcone, Fabio Monzani, Francesco Menichetti, Agostino Virdis, Francesco Forfori, Baldassarri Rubia, Bertini Pietro, Brizzi Giulia, Corradi Francesco, Della Rocca Alessandra, Guarracino Fabio, Malacarne Paolo, Monfroni Marco, Piagnani Chiara, Park Naria, Celi Alessandro, Laura Carrozzi, Cinotti Francesco, Massimo Santini, Cipriano Alessandro, Biancalana Martina, Borselli Matteo, Nencini Elia, Spinelli Stefano, Ruberti Francesca, Forotti Giovanna, Sciuto Maria, Salvatore De Marco, Antognoli Rachele, Calsolario Valeria, Paterni Simone, Colangelo Luciano, Sonato Chiara, Galfo Valentina, Monica Uliana, Kenneth F. Baker, Ina Schim van der Loeff, Aidan T. Hanrath, Christopher J. A. Duncan, Su Ann Tee, Richard Capstick, Gabriella Marchitelli, Ang Li, Andrew Barr, Alsafi Eid, Sajeel Ahmed, Dalvir Bajwa, Omer Mohammed. Estimated pulse wave velocity improves risk stratification for all-cause mortality in patients with COVID-19. Scientific Reports, 2021; 11 (1) DOI: 10.1038/s41598-021-99050-0

Cite This Page:

Newcastle University. "Estimated pulse wave velocity predicts severe COVID." ScienceDaily. ScienceDaily, 13 October 2021. <>.
Newcastle University. (2021, October 13). Estimated pulse wave velocity predicts severe COVID. ScienceDaily. Retrieved May 26, 2024 from
Newcastle University. "Estimated pulse wave velocity predicts severe COVID." ScienceDaily. (accessed May 26, 2024).

Explore More

from ScienceDaily