Literature DB >> 8967362

Baroreflex gain: characterization using autoregressive moving average analysis.

D J Patton1, J K Triedman, M H Perrott, A A Vidian, J P Saul.   

Abstract

To study heart rate baroreflex gain, autoregressive moving average (ARMA) analysis, a multivariate method that allows evaluation of the dynamic ("beat-to-beat") interactions between changes in biological signals, was used to evaluate the relationships between R-R interval and arterial blood pressure (BP) during random-interval breathing. Parameters obtained by ARMA analysis of spontaneous fluctuations in BP and R-R interval in 17 volunteers were used to model the response of R-R interval to a transient 1-mmHg increase in BP; the resulting impulse-response and step-response curves were compared with baroreflex gain measured using bolus injections of phenylephrine (PE) and sodium nitroprusside (SNP). Impulse-response curves for the systolic BP-R-R relationship showed an early (0-1 s) sharp maximum of 5.5 +/- 4.2 ms/mmHg, which was smaller in magnitude but linearly correlated with baroreflex gain derived from SNP (14.5 +/- 9.7 ms/mmHg; r = 0.80, P < 0.002) and PE (31.6 +/- 26.7 ms/mmHg; r = 0.53, P < 0.05) injections. A similar relationship was also found between the one-beat ARMA step response and SNP injection (r = 0.70, P = 0.01). The integrated step response of the BP-R-R relationship over 6 s was 6.4 +/- 4.1 ms/mmHg, with no correlation to baroreflex gain determined by SNP (r = 0.33, P = 0.20) or PE (r = -0.15, P = 0.57). In conclusion, quantification of baroreflex gain consistent with other techniques may be achieved by ARMA analysis without perturbing mean BP. Correlation of baroreflex gain obtained by bolus injection to early measures of baroreflex gain obtained from the ARMA maximum impulse and early step responses, but not the late step response, suggests that the ARMA method may provide additional information regarding the frequency dependent effects of BP on R-R-interval.

Entities:  

Mesh:

Substances:

Year:  1996        PMID: 8967362     DOI: 10.1152/ajpheart.1996.270.4.H1240

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  9 in total

1.  Non-invasive model-based estimation of the sinus node dynamic properties from spontaneous cardiovascular variability series.

Authors:  A Porta; N Montano; M Pagani; A Malliani; G Baselli; V K Somers; P van de Borne
Journal:  Med Biol Eng Comput       Date:  2003-01       Impact factor: 2.602

2.  Conditional Self-Entropy and Conditional Joint Transfer Entropy in Heart Period Variability during Graded Postural Challenge.

Authors:  Alberto Porta; Luca Faes; Giandomenico Nollo; Vlasta Bari; Andrea Marchi; Beatrice De Maria; Anielle C M Takahashi; Aparecida M Catai
Journal:  PLoS One       Date:  2015-07-15       Impact factor: 3.240

3.  Tentonin 3 as a baroreceptor mechanosensor: not a stretch.

Authors:  Jianguo G Gu; Dan E Berkowitz
Journal:  J Clin Invest       Date:  2020-07-01       Impact factor: 14.808

4.  Baroreflex and oscillation of heart period at 0.1 Hz studied by alpha-blockade and cross-spectral analysis in healthy humans.

Authors:  A Cevese; G Gulli; E Polati; L Gottin; R Grasso
Journal:  J Physiol       Date:  2001-02-15       Impact factor: 5.182

5.  Sleep-related changes in autonomic control in obstructive sleep apnea: a model-based perspective.

Authors:  Michael C K Khoo; Anna Blasi
Journal:  Respir Physiol Neurobiol       Date:  2013-05-23       Impact factor: 1.931

6.  Comparison of Causal and Non-causal Strategies for the Assessment of Baroreflex Sensitivity in Predicting Acute Kidney Dysfunction After Coronary Artery Bypass Grafting.

Authors:  Vlasta Bari; Emanuele Vaini; Valeria Pistuddi; Angela Fantinato; Beatrice Cairo; Beatrice De Maria; Laura Adelaide Dalla Vecchia; Marco Ranucci; Alberto Porta
Journal:  Front Physiol       Date:  2019-10-18       Impact factor: 4.566

Review 7.  Baroreflex contribution to blood pressure and heart rate oscillations: time scales, time-variant characteristics and nonlinearities.

Authors:  M Di Rienzo; G Parati; A Radaelli; P Castiglioni
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2009-04-13       Impact factor: 4.226

8.  Separation of respiratory influences from the tachogram: a methodological evaluation.

Authors:  Devy Widjaja; Alexander Caicedo; Elke Vlemincx; Ilse Van Diest; Sabine Van Huffel
Journal:  PLoS One       Date:  2014-07-08       Impact factor: 3.240

9.  Mathematical modeling of the cardiovascular autonomic control in healthy subjects during a passive head-up tilt test.

Authors:  Yurii M Ishbulatov; Anatoly S Karavaev; Anton R Kiselev; Margarita A Simonyan; Mikhail D Prokhorov; Vladimir I Ponomarenko; Sergey A Mironov; Vladimir I Gridnev; Boris P Bezruchko; Vladimir A Shvartz
Journal:  Sci Rep       Date:  2020-10-05       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.