BACKGROUND: Previously proposed technique for assessment of spontaneous baroreflex sensitivity (BRS) based on bivariate phase-rectified signal averaging measures averaged R-R interval (RRI) changes triggered by beat-to-beat increases in systolic blood pressure (SBP). In this study, we investigate a normalized version of the method that relates the averaged RRI changes to the triggering blood pressure changes, thus providing the results in measurement units comparable with existing literature. METHODS: Data of previously reported prospective observational study were used. In each of 146 heart failure patients presenting with sinus rhythm, 10-minute recordings of electrocardiogram and arterial and blood pressures were obtained in the supine resting position. The averaged RRI increases initiated by beat-to-beat SBP increases were measured (original BRS result in milliseconds) and normalized for the averaged beat-to-beat SBP increases (normalized BRS result in milliseconds per millimeters of mercury). Both results were compared in terms of predicting all-cause mortality during a mean follow-up of 2.7 ± 1.1 years when 42 patients (28.8%) died. RESULTS: Both types of results were highly correlated (r = 0.938, P < .001) and led to similarly strong separation of high- and low-risk groups. The receiver operator characteristics of both indices were well within the 95% confidence intervals of each other, and the areas under the characteristics were practically identical: 71.1% (95% confidence interval, 60.7%-80.9%) for original BRS and 69.7% (58.9%-79.2%) for normalized BRS. CONCLUSION: The results might question the concept of a linear relationship between the SBP changes and RRI changes. The phase-rectified signal averaging-based assessment of BRS may be used with equal legitimacy in the nonnormalized and normalized forms; the normalized form provides results in conventional measurement units.
BACKGROUND: Previously proposed technique for assessment of spontaneous baroreflex sensitivity (BRS) based on bivariate phase-rectified signal averaging measures averaged R-R interval (RRI) changes triggered by beat-to-beat increases in systolic blood pressure (SBP). In this study, we investigate a normalized version of the method that relates the averaged RRI changes to the triggering blood pressure changes, thus providing the results in measurement units comparable with existing literature. METHODS: Data of previously reported prospective observational study were used. In each of 146 heart failurepatients presenting with sinus rhythm, 10-minute recordings of electrocardiogram and arterial and blood pressures were obtained in the supine resting position. The averaged RRI increases initiated by beat-to-beat SBP increases were measured (original BRS result in milliseconds) and normalized for the averaged beat-to-beat SBP increases (normalized BRS result in milliseconds per millimeters of mercury). Both results were compared in terms of predicting all-cause mortality during a mean follow-up of 2.7 ± 1.1 years when 42 patients (28.8%) died. RESULTS: Both types of results were highly correlated (r = 0.938, P < .001) and led to similarly strong separation of high- and low-risk groups. The receiver operator characteristics of both indices were well within the 95% confidence intervals of each other, and the areas under the characteristics were practically identical: 71.1% (95% confidence interval, 60.7%-80.9%) for original BRS and 69.7% (58.9%-79.2%) for normalized BRS. CONCLUSION: The results might question the concept of a linear relationship between the SBP changes and RRI changes. The phase-rectified signal averaging-based assessment of BRS may be used with equal legitimacy in the nonnormalized and normalized forms; the normalized form provides results in conventional measurement units.
Authors: Beatrice De Maria; Vlasta Bari; Marco Ranucci; Valeria Pistuddi; Giovanni Ranuzzi; Anielle C M Takahashi; Aparecida M Catai; Laura Dalla Vecchia; Sergio Cerutti; Alberto Porta Journal: Med Biol Eng Comput Date: 2017-12-13 Impact factor: 2.602
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
Authors: Alexander Steger; Michael Dommasch; Alexander Müller; Petra Barthel; Daniel Sinnecker; Larissa Wieg; Alexander Hapfelmeier; Helene Hildegard Heidegger; Katharina Maria Huster; Eimo Martens; Karl-Ludwig Laugwitz; Georg Schmidt; Ralf Dirschinger Journal: Sci Rep Date: 2022-04-12 Impact factor: 4.379
Authors: Michael F La Fountaine; Asante N Hohn; Caroline L Leahy; Anthony J Testa; Joseph P Weir Journal: Ann N Y Acad Sci Date: 2021-09-03 Impact factor: 6.499