RT Conference Proceedings
T1 Effectiveness of an R-based software to detect closed-loop cardiovascular interactions and baroreflex impairment in human subjects from the EUROBAVAR data set
A1 Chao-Écija, Álvaro
A1 Carrasco-Gómez, Daniel
A1 Dawid-Milner, Marc Stefan
K1 Sistema cardiovascular
AB We recently developed an R-based software that could model closedloopcardiovascular interactions. In this study, we applied this toolon the EUROBAVAR data set to further test its applicability. The aim of this work is to test the effectivenessof our software to identify cardiovascular regulatory mechanisms andbaroreflex impairment from these data. We first uploaded each recording into our software to model theinteractions present between systolic blood pressure (SBP) and IBIby employing a wavelet detrending and multivariate autoregressivemodeling algorithm. Then, our software estimated causal coherenceand Gaussian-weighted baroreflex sensitivity (BRS) indexes fromeach model at the low frequency (LF, 0.04-0.15 Hz, sympathetic) andhigh frequency (HF, 0.15-0.4 Hz, parasympathetic) bands. Immediatevariability transfer from SBP to IBI was also computed for eachsubject. Our results showed that, when standing, the estimates ofonly two subjects, B005 and B010, were below percentile P10 of theBRS distribution (0.719 ms/mmHg at HF, 1.678 ms/mmHg at LF) atboth bands. A literature review indicated that these two subjects hada baroreflex impairment. In non-baroreflex-impaired subjects, causalcoherence from IBI to SBP at LF was significantly predominant at restwhen compared with the coupling from SBP to IBI (p < 0.001). Thispredominance disappeared during standing due to changes in the couplings,suggesting a baroreflex interaction. Closed-loop BRS supineto-standing ratios in these subjects were 1.69 ± 0.93 (LF band) and3.1 ± 1.32 (HF band), showing a significantly decreased BRS duringstanding position (p < 0.01, LF; p < 0.001, HF). Immediate transferalso decreased during standing (p < 0.001). In conclusion, our softwaremanaged to evaluate causal closed-loop interactions between cardiovascularvariables from the data set, evidencing a baroreflex coupling, Thus, this allows it tobe a useful tool for baroreceptor evaluations.
YR 2022
FD 2022
LK https://hdl.handle.net/10630/25217
UL https://hdl.handle.net/10630/25217
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026