Key result
Normative blood velocity model successfully discriminates between healthy individuals and post-COVID-19 patients.
Why the study?
Biomarkers are commonly used statistically in clinical settings but are not usually connected to basic physiological models or equations for discriminating health from disease.
Does a normative blood velocity model based on the velocity-diffusion equation discriminate between healthy individuals and post COVID-19 patients?
Case-Control
Does a normative blood velocity model based on the velocity-diffusion equation discriminate between healthy individuals and post COVID-19 patients?
A novel normative blood velocity model based on physiological principles successfully discriminates microvascular states between healthy controls and post-COVID-19 patients.
May support microvascular phenotyping post-COVID; hypothesis-generating and requires prospective validation before clinical use.
A usual practice in medicine is to search for "biomarkers" which are measurable quantities of a normal or abnormal biological process. Biomarkers can be biochemical or physical quantities of the body and although commonly used statistically in clinical settings, it is not usual for them to be connected to basic physiological models or equations. In this work, a normative blood velocity model framework for the exchange microvessels was introduced, combining the velocity-diffusion (V-J) equation and statistics, in order to define the normative range (NR) and normative area (NA) diagrams for discriminating normal (normemic) from abnormal (hyperemic or underemic) states, taking into account the microvessel diameter D. This is different from the usual statistical processing since there is a basis on the well-known physiological principle of the flow diffusion equation. The discriminative power of the average axial velocity model was successfully tested using a group of healthy individuals (Control Group) and a group of post COVID-19 patients (COVID-19 Group).
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Koutsiaris et al. (2023) conducted a case-control in post COVID-19. post COVID-19 status vs. healthy individuals was evaluated on discriminative power of the average axial velocity model. A normative blood velocity model framework successfully discriminated between healthy individuals and post COVID-19 patients.
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