↓ Skip to main content

Beat-by-Beat Estimation of the Left Ventricular Pressure–Volume Loop Under Clinical Conditions

Overview of attention for article published in Annals of Biomedical Engineering, October 2017
Altmetric Badge

Mentioned by

twitter
6 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
27 Mendeley
Title
Beat-by-Beat Estimation of the Left Ventricular Pressure–Volume Loop Under Clinical Conditions
Published in
Annals of Biomedical Engineering, October 2017
DOI 10.1007/s10439-017-1947-9
Pubmed ID
Authors

Shaun Davidson, Chris Pretty, Shun Kamoi, Thomas Desaive, J. Geoffrey Chase

Abstract

This paper develops a method for the minimally invasive, beat-by-beat estimation of the left ventricular pressure-volume loop. This method estimates the left ventricular pressure and volume waveforms that make up the pressure-volume loop using clinically available inputs supported by a short, baseline echocardiography reading. Validation was performed across 142,169 heartbeats of data from 11 Piétrain pigs subject to two distinct protocols encompassing sepsis, dobutamine administration and clinical interventions. The method effectively located pressure-volume loops, with low overall median errors in end-diastolic volume of 8.6%, end-systolic volume of 17.3%, systolic pressure of 19.4% and diastolic pressure of 6.5%. The method further demonstrated a low overall mean error of 23.2% predicting resulting stroke work, and high correlation coefficients along with a high percentage of trend compass 'in band' performance tracking changes in stroke work as patient condition varied. This set of results forms a body of evidence for the potential clinical utility of the method. While further validation in humans is required, the method has the potential to aid in clinical decision making across a range of clinical interventions and disease state disturbances by providing real-time, beat-to-beat, patient specific information at the intensive care unit bedside without requiring additional invasive instrumentation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 19%
Researcher 4 15%
Student > Postgraduate 2 7%
Student > Doctoral Student 2 7%
Student > Bachelor 1 4%
Other 2 7%
Unknown 11 41%
Readers by discipline Count As %
Engineering 9 33%
Medicine and Dentistry 3 11%
Biochemistry, Genetics and Molecular Biology 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Other 0 0%
Unknown 12 44%