Men and women should be separately investigated in studies of orthostatic challenge due to different gender-related dynamics of autonomic response

In studies of autonomic regulation during orthostatic challenges only a few nonlinear methods have been considered without investigating the effect of gender in young controls. Especially, the temporal development of the autonomic regulation has not yet been explicitly analyzed using short-term segments in supine position, transition and orthostatic phase (OP). In this study, nonlinear analysis of cardiovascular and respiratory time series was performed to investigate how nonlinear indices are dynamically changing with respect to gender during orthostatic challenges. The analysis was carried out using shifted short-term segments throughout a head-up tilt test in 24 healthy subjects, 12 men (26  ±  4 years) and 12 age-matched women (26  ±  5 years), at supine position and during OP at 70°. The nonlinear methods demonstrated statistical differences in the autonomic regulation between males and females. Orthostatic stress caused significantly decreased heart rate variability due to increased sympathetic activity mainly in men, already at the beginning and during the complete OP, revealed by (a) increased occurrence of specific word types with constant fluctuations as pW111 from symbolic dynamics, (b) augmented fractal correlation properties by the short-term index alpha1 from detrended fluctuation analysis, (c) increased slope indices (21ati and 31ati) from auto-transinformation and (d) augmented time irreversibility indices demonstrating more temporal asymmetries and nonlinear dynamics in men than in women. After tilt-up, both men and women increased their sympathetic activity but in a different way. Time-dependent gender differences during orthostatic challenge were shown directly between men and women or indirectly comparing baseline and different temporal stages of OP. The proposed dynamical study of autonomic regulation has the advantage of screening the fluctuations of the sympathetic and vagal activities that can be quantified by the temporal behavior of nonlinear indices. The findings in this paper strongly suggest the need for gender separation in studies of the dynamics of autonomic regulation during orthostatic challenge.

[1]  Ramón González-Camarena,et al.  Temporal analysis of cardiac autonomic regulation during orthostatic challenge by short-term symbolic dynamics , 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[2]  Juha Hartikainen,et al.  Sympathovagal balance is major determinant of short-term blood pressure variability in healthy subjects. , 1999, American journal of physiology. Heart and circulatory physiology.

[3]  J. Kurths,et al.  Nonlinear analysis of complex phenomena in cardiological data , 2000, Herzschrittmachertherapie und Elektrophysiologie.

[4]  Alberto Porta,et al.  Assessment of cardiac autonomic modulation during graded head-up tilt by symbolic analysis of heart rate variability. , 2007, American journal of physiology. Heart and circulatory physiology.

[5]  T. Laitinen,et al.  Sympathovagal balance is major determinant of short-term blood pressure variability in healthy subjects. , 1999, The American journal of physiology.

[6]  K. Reynolds,et al.  Global burden of hypertension: analysis of worldwide data , 2005, The Lancet.

[7]  Jaroslaw Piskorski,et al.  Heart rate asymmetry by Poincaré plots of RR intervals , 2006, Biomedizinische Technik. Biomedical engineering.

[8]  M. Joyner,et al.  The curse of the sympathetic nervous system: are men or women more unfortunate? , 2010, The Journal of physiology.

[9]  D Geue,et al.  Temporal asymmetries of short-term heart period variability are linked to autonomic regulation. , 2008, American journal of physiology. Regulatory, integrative and comparative physiology.

[10]  Pere Caminal,et al.  Methods derived from nonlinear dynamics for analysing heart rate variability , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[11]  M. Ziegler,et al.  Gender differences in autonomic cardiovascular regulation: spectral, hormonal, and hemodynamic indexes. , 2001, Journal of applied physiology.

[12]  A. Malliani,et al.  Time reversibility in short-term heart period variability , 2006, 2006 Computers in Cardiology.

[13]  B. Levine,et al.  Effects of gender and hypovolemia on sympathetic neural responses to orthostatic stress. , 2005, American journal of physiology. Regulatory, integrative and comparative physiology.

[14]  V A Convertino,et al.  Gender differences in autonomic functions associated with blood pressure regulation. , 1998, The American journal of physiology.

[15]  Sergio Cerutti,et al.  Entropy, entropy rate, and pattern classification as tools to typify complexity in short heart period variability series , 2001, IEEE Transactions on Biomedical Engineering.

[16]  Chung-Kang Peng,et al.  Multiscale Analysis of Heart Rate Dynamics: Entropy and Time Irreversibility Measures , 2008, Cardiovascular engineering.

[17]  B. Wallin,et al.  Sex, ageing and resting blood pressure: gaining insights from the integrated balance of neural and haemodynamic factors , 2012, The Journal of physiology.

[18]  N. Cherniack,et al.  Postural hypocapnic hyperventilation is associated with enhanced peripheral vasoconstriction in postural tachycardia syndrome with normal supine blood flow. , 2006, American journal of physiology. Heart and circulatory physiology.

[19]  R W Barnes,et al.  Age, race, and sex differences in autonomic cardiac function measured by spectral analysis of heart rate variability--the ARIC study. Atherosclerosis Risk in Communities. , 1995, The American journal of cardiology.

[20]  A L Goldberger,et al.  Fractal correlation properties of R-R interval dynamics and mortality in patients with depressed left ventricular function after an acute myocardial infarction. , 2000, Circulation.

[21]  H. Stanley,et al.  Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. , 1995, Chaos.

[22]  K. Bär,et al.  The altered complexity of cardiovascular regulation in depressed patients , 2010, Physiological measurement.

[23]  J Theiler,et al.  Low Doses of Ethanol Reduce Evidence for Nonlinear Structure in Brain Activity , 1998, The Journal of Neuroscience.

[24]  Abraham Lempel,et al.  A universal algorithm for sequential data compression , 1977, IEEE Trans. Inf. Theory.

[25]  M. Hopman,et al.  Attenuated peripheral vasoconstriction during an orthostatic challenge in older men. , 2008, Age and ageing.

[26]  Self-Concept Variables Sex Differences in , 2016 .

[27]  Dirk Hoyer,et al.  Mutual information and phase dependencies: measures of reduced nonlinear cardiorespiratory interactions after myocardial infarction. , 2002, Medical engineering & physics.

[28]  P. Low,et al.  Gender related differences in the cardiovascular responses to upright tilt in normal subjects , 1992, Clinical Autonomic Research.

[29]  A. Quaroni,et al.  Involvement of p21(WAF1/Cip1) and p27(Kip1) in intestinal epithelial cell differentiation. , 1999, American journal of physiology. Cell physiology.

[30]  Jens Haueisen,et al.  Estimating the complexity of heart rate fluctuations - an approach based on compression entropy , 2005 .

[31]  J. Florian,et al.  Sex differences in vasoconstrictor reserve during 70 deg head‐up tilt , 2010, Experimental physiology.

[32]  C. Peng,et al.  Fractal analysis of heart rate dynamics as a predictor of mortality in patients with depressed left ventricular function after acute myocardial infarction. TRACE Investigators. TRAndolapril Cardiac Evaluation. , 1999, The American journal of cardiology.

[33]  Laura Karavirta,et al.  Sex differences in heart rate variability: a longitudinal study in international elite cross-country skiers , 2015, European Journal of Applied Physiology.

[34]  T Seppänen,et al.  Effects of exercise and passive head-up tilt on fractal and complexity properties of heart rate dynamics. , 2001, American journal of physiology. Heart and circulatory physiology.

[35]  M Eiselt,et al.  Using mutual information to measure coupling in the cardiorespiratory system. , 1998, IEEE engineering in medicine and biology magazine : the quarterly magazine of the Engineering in Medicine & Biology Society.

[36]  A Schirdewan,et al.  Multiparametric Analysis of Heart Rate Variability Used for Risk Stratification Among Survivors of Acute Myocardial Infarction , 1998, Pacing and clinical electrophysiology : PACE.

[37]  Mi-Ok Kim,et al.  Statistical issues in longitudinal data analysis for treatment efficacy studies in the biomedical sciences. , 2010, Molecular therapy : the journal of the American Society of Gene Therapy.

[38]  B. Wallin,et al.  Sex Differences in Sympathetic Neural-Hemodynamic Balance: Implications for Human Blood Pressure Regulation , 2009, Hypertension.

[39]  D. Sapoznikov,et al.  Sympathetic Nervous System Function and Dysfunction in Chronic Hemodialysis Patients , 2013, Seminars in dialysis.

[40]  Sonia Charleston-Villalobos,et al.  Gender differences in cardiovascular and cardiorespiratory coupling in healthy subjects during head-up tilt test by Joint Symbolic Dynamics , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.