Postural Orthostatic Tachycardia Syndrome explained using abaroreflex response model

TL;DR

This paper develops a baroreflex response model to explain the low-frequency blood pressure and heart rate dynamics observed in POTS patients, providing mechanistic insights into the syndrome's subgroups.

Contribution

The study introduces a novel baroreflex model that replicates POTS low-frequency dynamics and differentiates subgroups based on physiological parameters.

Findings

Model accurately reproduces patient data dynamics

Key physiological parameters influence low-frequency oscillations

Model suggests mechanistic basis for POTS subgroups

Abstract

Recent studies have shown that Postural Orthostatic Tachycardia Syndrome (POTS) patients have abnormal low frequency $\approx 0.1$ Hz blood pressure and heart rate dynamics. These dynamics are attributed to the baroreflex and can give insight into the mechanistic causes which are the basis for proposed subgroups of POTS. In this study we develop a baroreflex model replicating the low-frequency dynamics observed in POTS patient data as well as represent subgroups of POTS in our model. We utilize signal processing to quantify the effects that model parameters have on low-frequency oscillations. Results show that key physiological parameters that represent the hypothesized causes are central to our model's ability to reproduce observed dynamics from patient data.