Scalability of cardiovascular intrinsic frequencies: Validations in preclinical models and non-invasive clinical studies.
Authors:Rashid Alavi|||Wangde Dai|||Faisal Amlani|||Derek G Rinderknecht|||Robert A Kloner|||Niema M Pahlevan
Journal: Life sciences
Publication Type: Journal Article
Date: 2021
DOI: 10.1016/j.lfs.2021.119880
ID: 34389404
Affiliations:
Affiliations
Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, United States.|||Division of Cardiovascular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Cardiovascular Research Institute, Huntington Medical Research Institutes, Pasadena, CA, United States.|||Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, United States.|||Avicena LLC, Pasadena, CA, United States.|||Division of Cardiovascular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Cardiovascular Research Institute, Huntington Medical Research Institutes, Pasadena, CA, United States.|||Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA, United States; Division of Cardiovascular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States; Huntington Medical Research Institutes, Pasadena, CA, United States. Electronic address: pahlevan@usc.edu.
Abstract
Cardiovascular intrinsic frequencies (IFs) are associated with cardiovascular health and disease, separately capturing the systolic and diastolic information contained in a single (uncalibrated) arterial waveform. Previous clinical investigations related to IF have been restricted to studying chronic conditions, and hence its applicability for acute cardiovascular diseases has not been explored. Studies of cardiovascular complications such as acute myocardial infarction are difficult to perform in humans due to the high-risk and invasive nature of such procedures. Although they can be performed in preclinical (animal) models, the corresponding interpretation of IF measures and how they ultimately translate to humans is unknown. Hence, we studied the scalability of IF across species and sensor platforms.
