Why the study?
Options to analyze PV loops using off-the-shelf software were limited to individual cardiac cycles, and home-grown software often lacked peer review or code-sharing.
Describes a start-to-finish implementation and novel MATLAB-based analytic method for processing raw pressure-volume loop data over multiple cardiac cycles in a swine model.
MATLAB tool enables multi-cycle swine PV analysis; leaves open translation to clinical cardiovascular research.
Cardiac pressure-volume (PV) loop analysis is the reference standard for studying the cardiovascular implications of clinical perturbations (eg, heart failure, aortic occlusion, hypovolemia) and is a benchmark for comparisons with noninvasive alternatives (eg, ultrasound, magnetic resonance imaging). Historically, most PV loop analyses were of individual cardiac cycles for which the options to analyze PV loops using off-the-shelf software were limited, and home-grown analysis software often lacked peer review or code-sharing. Our aim was to describe a start-to-finish implementation of PV loops for determination of hemodynamic parameters in swine, to provide technical advice for vascular access and proceduralization, and to describe data capture, curation, preprocessing, and analysis of raw PV time data. We have provided a novel data analytic method to programmatically analyze raw PV loop data beyond single cardiac cycles and real, raw swine PV loop data and the accompanying MATLAB (MathWorks, Inc, Natick, Mass) code as an example of how to process and analyze raw data directly.
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Stonko et al. (2022) studied this question.
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