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Tilt Testing with Combined Lower Body Negative Pressure: a "Gold Standard" for Measuring Orthostatic Tolerance
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Postural orthostatic tachycardia syndrome explained using a baroreflex response model.

Justen R Geddes1, Johnny T Ottesen2, Jesper Mehlsen3

  • 1Department of Mathematics, North Carolina State University, Raleigh, NC 27695, USA.

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|August 24, 2022
PubMed
Summary

This study models cardiovascular dynamics in postural orthostatic tachycardia syndrome (POTS). By adjusting baroreflex (BR) sensitivity in the model, researchers can simulate POTS symptoms like increased heart rate (HR) and blood pressure (BP) oscillations during head-up tilt (HUT).

Keywords:
POTSautonomic dysfunctionbaroreflexhead-up tiltmathematical modelling

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Area of Science:

  • Cardiovascular Physiology
  • Computational Biology
  • Systems Biology

Background:

  • Postural orthostatic tachycardia syndrome (POTS) is characterized by excessive heart rate (HR) increase and blood pressure (BP) oscillations during head-up tilt (HUT).
  • These autonomic responses are linked to altered baroreflex (BR) sensitivity, affecting sympathetic and parasympathetic signaling.

Purpose of the Study:

  • To develop and utilize a closed-loop cardiovascular compartment model to predict BP and HR dynamics in response to HUT.
  • To investigate the role of baroreflex (BR) sensitivity in simulating POTS pathophysiology.

Main Methods:

  • A closed-loop cardiovascular model simulating left ventricle, upper/lower body arteries/veins was employed.
  • Head-up tilt (HUT) was simulated by gravity-induced blood volume (BV) shift; BR control modulated vascular resistance, compliance, and cardiac contractility.
  • Model parameters, particularly BR sensitivity, were modulated to replicate POTS patient responses.

Main Results:

  • Modulation of BR sensitivity parameters accurately predicted persistent HR increase and low-frequency BP/HR oscillations seen in POTS patients.
  • Simulations demonstrated that increased BR sensitivity, reduced lower body vascular BR control, and decreased central BV could replicate neuropathic and hyperadrenergic POTS phenotypes.

Conclusions:

  • The cardiovascular model effectively simulates POTS pathophysiology by adjusting BR sensitivity.
  • This modeling approach provides insights into the mechanisms underlying POTS and its subtypes, offering potential for further research into autonomic dysfunction.