Comparison of beta2-adrenergic and hyperemia-induced arterial vasodilation assessed by digital pulse contour analysis

2019 ◽  
Vol 88 (1) ◽  
pp. 7-11
Author(s):  
Andrzej Wykretowicz ◽  
Karolina Adamska ◽  
Przemysław Guzik ◽  
Marcin Zwanzig ◽  
Mateusz Dziarmaga ◽  
...  
Keyword(s):  
Pulse Contour Analysis ◽  
Pulse Contour ◽  
Contour Analysis ◽  
Significant Drop ◽  
Reflection Index ◽  
Digital Pulse ◽  
Significant Difference ◽  
Induced Changes ◽  
Volume Pulse ◽  
Digital Volume Pulse

Introduction. The Reflection Index (RIDVP) derived from digital volume pulse (DVP) analysis has proved to be useful in the assessment of endothelium‑dependent vasodilation induced by albuterol. Little is known of the effect of shear‑stress‑induced vasorelaxation on RIDVP.Material and Methods. Thirty three healthy volunteers (22 females, 11 males, mean age 57 yrs) were recruited. Assessment of endothelium‑dependent vasorelaxation was performed by the analysis of digital volume pulse after albuterol challenge or locally‑induced hyperemia. Results. he hyperemia‑induced vasodilation led to a significant decrease of RIDVP in comparison with the values obtained at rest (∆RIHyper 69 ± 2 % vs 64 ± 2, p < 0.0001). Similarly albuterol administration resulted in a significant drop in RIDVP (∆RIAlb 71 ± 2 % vs 67 ± 2 %, p < 0.0001). There was no significant difference between ∆RIHyper and ∆RIAlb (5.2 ± 0.8 % vs 4.6 ± 1.0 %, p = 0.61). We observed a significant correlation between the small vessel reaction in response to albuterol or hyperemia (r = 0.52, p = 0.01).Conclusions. Our study demonstrated that hyperemia‑induced changes in the Reflexion Index derived from the digital volume pulse are similar to those observed after albuterol‑challenge and both are correlated.

Assessment of arterial stiffness in type 1 diabetes using digital pulse contour analysis: Is it a reliable method?

2015 ◽  
Vol 53 (3) ◽  
pp. 477-482 ◽  
Author(s):  
Alessandra S. de M. Matheus ◽  
Bárbara Pereira Pires ◽  
Eduardo Tibiriçá ◽  
Aline Tiemi Kano Silva ◽  
Marília B. Gomes
Keyword(s):  
Type 1 Diabetes ◽  
Arterial Stiffness ◽  
Reliable Method ◽  
Pulse Contour Analysis ◽  
Pulse Contour ◽  
Contour Analysis ◽  
Digital Pulse

scholarly journals Bioreactance reliably detects preload responsiveness by the end-expiratory occlusion test when averaging and refresh times are shortened

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Francesco Gavelli ◽  
Alexandra Beurton ◽  
Jean-Louis Teboul ◽  
Nello De Vita ◽  
Danila Azzolina ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Characteristic Curve ◽  
Pulse Contour Analysis ◽  
Pulse Contour ◽  
Contour Analysis ◽  
Mechanically Ventilated ◽  
Occlusion Test ◽  
Preload Responsiveness ◽  
Operating Characteristic Curve ◽  
Induced Changes

Abstract Background The end-expiratory occlusion (EEXPO) test detects preload responsiveness, but it is 15 s long and induces small changes in cardiac index (CI). It is doubtful whether the Starling bioreactance device, which averages CI over 24 s and refreshes the displayed value every 4 s (Starling-24.4), can detect the EEXPO-induced changes in CI (ΔCI). Our primary goal was to test whether this Starling device version detects preload responsiveness through EEXPO. We also tested whether shortening the averaging and refresh times to 8 s and one second, respectively, (Starling-8.1) improves the accuracy of the device in detecting preload responsiveness using EEXPO. Methods In 42 mechanically ventilated patients, during a 15-s EEXPO, we measured ∆CI through calibrated pulse contour analysis (CIpulse, PiCCO2 device) and using the Starling device. For the latter, we considered both CIStarling-24.4 from the commercial version and CIStarling-8.1 derived from the raw data. For relative ∆CIStarling-24.4 and ∆CIStarling-8.1 during EEXPO, we calculated the area under the receiver operating characteristic curve (AUROC) to detect preload responsiveness, defined as an increase in CIpulse ≥ 10% during passive leg raising (PLR). For both methods, the correlation coefficient vs. ∆CIpulse was calculated. Results Twenty-six patients were preload responders and sixteen non preload-responders. The AUROC for ∆CIStarling-24.4 was significantly lower compared to ∆CIStarling-8.1 (0.680 ± 0.086 vs. 0.899 ± 0.049, respectively; p = 0.027). A significant correlation was observed between ∆CIStarling-8.1 and ∆CIpulse (r = 0.42; p = 0.009), but not between ∆CIStarling-24.4 and ∆CIpulse. During PLR, both ∆CIStarling-24.4 and ∆CIStarling-8.1 reliably detected preload responsiveness. Conclusions Shortening the averaging and refresh times of the bioreactance signal to 8 s and one second, respectively, increases the reliability of the Starling device in detection of EEXPO-induced ∆CI. Trial registration: No. IDRCB:2018-A02825-50. Registered 13 December 2018.

Determination of age-related increases in large artery stiffness by digital pulse contour analysis

2002 ◽  
Vol 103 (4) ◽  
pp. 371-377 ◽  
Author(s):  
S.C. MILLASSEAU ◽  
R.P. KELLY ◽  
J.M. RITTER ◽  
P.J. CHOWIENCZYK
Keyword(s):  
Glyceryl Trinitrate ◽  
Pulse Contour Analysis ◽  
Pulse Contour ◽  
Applanation Tonometry ◽  
Large Artery ◽  
Contour Analysis ◽  
Arterial Blood ◽  
Age Related ◽  
Digital Pulse ◽  
Artery Stiffness

The stiffness of the aorta can be determined by measuring carotid–femoral pulse wave velocity (PWVcf). PWV may also influence the contour of the peripheral pulse, suggesting that contour analysis might be used to assess large artery stiffness. An index of large artery stiffness (SIDVP) derived from the digital volume pulse (DVP) measured by transmission of IR light (photoplethysmography) was examined. SIDVP was obtained from subject height and from the time delay between direct and reflected waves in the DVP. The timing of these components of the DVP is determined by PWV in the aorta and large arteries. SIDVP was, therefore, expected to provide a measure of stiffness similar to PWV. SIDVP was compared with PWVcf obtained by applanation tonometry in 87 asymptomatic subjects (21–68 years; 29 women). The reproducibility of SIDVP and PWVcf and the response of SIDVP to glyceryl trinitrate were assessed in subsets of subjects. The mean within-subject coefficient of variation of SIDVP, for measurements at weekly intervals, was 9.6%. SIDVP was correlated with PWVcf (r = 0.65, P<0.0001). SIDVP and PWVcf were each independently correlated with age and mean arterial blood pressure (MAP) with similar regression coefficients: SIDVP = 0.63+0.086×age+0.042×MAP (r = 0.69, P<0.0001); PWVcf = 0.76+0.080×age+0.053×MAP (r = 0.71, P<0.0001). Administration of glyceryl trinitrate (3, 30 and 300 μg/min intravenous; each dose for 15 min) in nine healthy men produced similar changes in SIDVP and PWVcf. Thus contour analysis of the DVP provides a simple, reproducible, non-invasive measure of large artery stiffness.

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