4.3 Article

Nonlinear properties of vagal and sympathetic modulations of heart rate variability in ovine fetus near term

出版社

AMER PHYSIOLOGICAL SOC
DOI: 10.1152/ajpregu.90474.2008

关键词

fetal sheep; autonomic nervous system; autonomic information flow; complexity

资金

  1. Bundesministerium fur Bildung und Forschung [01ZZ0105]
  2. Friedrich Schiller University of Jena

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Frasch MG, Muller T, Hoyer D, Weiss C, Schubert H, Schwab M. Nonlinear properties of vagal and sympathetic modulations of heart rate variability in ovine fetus near term. Am J Physiol Regul Integr Comp Physiol 296: R702-R707, 2009. First published December 17, 2008; doi:10.1152/ajpregu.90474.2008.-Fetal heart rate (FHR) monitoring is commonly used although clinical studies questioned its diagnostic value. Sophisticated FHR variability (fHRV) measures such as fHRV complexity may improve the sensitivity and specificity of FHR monitoring. A more detailed understanding of the physiology underlying fHRV complexity is essential to harness its use for monitoring fetal health. To examine the specific effects of vagal and sympathetic modulations on fHRV complexity, we blocked vagal activity with atropine and sympathetic activity with propranolol in near-term fetal sheep (n = 7, 0.85 gestation). Under these conditions, we analyzed the linear and nonlinear parts of fHRV complexity from autonomic information flow. Overall fHRV complexity decreased with both drugs compared with nonrapid eye movement sleep baseline (P < 0.05). With atropine, this was because of a decrease of the linear part of fHRV complexity on the long-term time scale (P < 0.05), suggesting that vagal modulation of fHRV is adequately described by linear fHRV measures. With propranolol, the nonlinear part of fHRV complexity decreased on the short-term time scale (P < 0.05), suggesting that sympathetic influences on fHRV can be detected by the nonlinear part of fHRV complexity. Thus the complex interplay of vagal and sympathetic modulations of fHRV is reflected differently and specifically in the linear and nonlinear properties of fHRV complexity, and on different time scales. Analysis of linear and nonlinear properties of fHRV may improve sensitivity and specificity of FHR monitoring.

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