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1 Dipartimento di Fisica, Università di Trento, and Istituto Trentino di Cultura-irst, 38050 Povo-Trento; 2 Dipartimento di Scienze Precliniche, Laboratorio Interdisciplinare Tecnologie Avanzale di Vialba, Università di Milano, 20157 Milano; and 3 Unità Operativa di Cardiologia, Ospedale Santa Chiara, 38100 Trento, Italy
Spectral and
cross-spectral analysis of R-R interval and systolic arterial pressure
(SAP) spontaneous fluctuations have been proposed for noninvasive
evaluation of baroreflex sensitivity (BRS). However, results are not in
good agreement with clinical measurements. In this study, a bivariate
parametric autoregressive model with exogenous input (ARXAR model),
able to divide the R-R variability into SAP-related and -unrelated
parts, was used to quantify the gain (
ARXAR) of the
baroreflex regulatory mechanism. For performance assessing, two
traditional noninvasive methods based on frequency domain analysis
[spectral, baroreflex gain by autogressive model (
AR);
cross-spectral, baroreflex gain by bivariate autoregressive model
(
2AR)] and one based on the time domain [baroreflex
gain by sequence analysis (
SEQ)] were considered and
compared with the baroreflex gain by phenylephrine test
(
PHE). The BRS evaluation was performed on 30 patients
(61 ± 10 yr) with recent (10 ± 3 days) myocardial
infarction. The ARXAR model allowed dividing the R-R variability
(950 ± 1,099 ms2) into SAP-related (256 ± 418 ms2) and SAP-unrelated (694 ± 728 ms2)
parts.
AR (12.2 ± 6.1 ms/mmHg) and
2AR (8.9 ± 5.6 ms/mmHg) as well as
SEQ (12.6 ± 7.1 ms/mmHg) overestimated BRS
assessed by
PHE (6.4 ± 4.7 ms/mmHg), whereas the
ARXAR index gave a comparable value (
ARXAR = 5.4 ± 3.3 ms/mmHg). All noninvasive methods were significantly
correlated to
PHE (
ARXAR and
SEQ were more correlated than the other indexes). Thus
the baroreflex gain obtained describing the causal dependence of R-R
interval on SAP showed a good agreement with
PHE and may
provide additional information regarding the gain estimation in the
frequency domain.
baroreflex sensitivity; spectral analysis; phenylephrine; autoregressive models; R-R-SAP transfer function
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