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Heart Rate Variability Predicts Treatment Outcome in Major Depression

Heart Rate Variability Predicts Treatment Outcome in Major Depression

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DOI	10.20900/jpbs.20170017
刊名	Journal of Psychiatry and Brain Science JPBS
年，卷(期)	2017, 2(6)
作者	Brandon.Hage*,James.Sinacore,Keri.Heilman,Stephen.W.Porges,Angelos.Halaris,
作者单位	1 Department of Psychiatry and Behavioral Neurosciences, Loyola University Chicago, Stritch School of Medicine, USA; ; 2 Department of Public Health, Loyola University Chicago, Stritch School of Medicine, USA; 3 Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA; 4 Kinsey Institute, Indiana University Bloomington, Indiana, USA.
Abstract	Aims: Autonomic nervous system (ANS) dysregulation is associated with various symptoms of depressive disorder. The beat-to-beat pattern of heart rate (Heart Rate Variability) (HRV) provides a noninvasive portal to ANS function through the quantification of periodic heart rate patterns. In this study we quantified two components of HRV: Respiratory Sinus Arrhythmia (RSA), and Low Frequency HRV (LF-HRV). Both of these components have been extensively reported in studies of depression and have been at least partially associated with reduction in vagal nerve tone. We quantified RSA and LF-HRV in patients with Major Depressive Disorder (MDD) as measures of ANS regulation seeking to establish the utility of components of HRV as potential diagnostic and prognostic biomarkers for treatment outcome. Methods: Sixty-six MDD patients were enrolled. In two separate and consecutively run studies they received either Escitalopram or Quetiapine fumarate ER over 12 weeks. Forty-one patients completed the studies. RSA and LF-HRV were assessed at pretreatment and end of study. Thirty-six healthy subjects served as controls. RSA and LF-HRV were quantified using an algorithm that incorporates time and frequency domains to address the non-stationarity of the beat-to-beat heart rate pattern.Results: No significant differences in baseline RSA or LF-HRV were found between MDD and healthy controls. However, baseline RSA and LF-HRV were significantly higher in treatment responders (lnRSA=6.20, lnLF-HRV= 5.76) than non-responders (lnRSA=4.75, lnLF-HRV = 4.53) (p=0.005, p=0.006). No significant changes in RSA or LF-HRV were detected over the course of either treatment. Conclusions: Components of HRV may be predictive of antidepressant response in MDD patients.
KeyWord	Escitalopram; Heart rate variability; Major depressive disorder; Quetiapine; Respiratory Sinus Arrhythmia; Low-frequency HRV
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引用本文

Brandon.Hage*,James.Sinacore,Keri.Heilman,Stephen.W.Porges,Angelos.Halaris. Heart Rate Variability Predicts Treatment Outcome in Major Depression, Journal of Psychiatry and Brain Science. 2017; 2; (6). https://doi.org/10.20900/jpbs.20170017.

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