Effect of Fluoxetin and Psychotherapy on Heart Rate Variability in Children and Adolescents Diagnosed with Panic Disorder: 24 Hours Holter Monitoring Study Before and After Treatment

The aim of our study is to measure very low frequency band (VLF), low frequency band (LF) and high frequency band (HF) components of R-R interval during orthostatic experiment in panic disorder patients before and after treatment.MethodsWe assessed heart rate variability in 19 patients with panic disorder before and after 6-weeks treatment with antidepressants combined with CBT and 18 healthy controls. They were regularly assessed on the CGI, BAI and BDI. Heart rate variability was assessed during 5 min standing, 5 min supine and 5 min standing positions before and after the treatment. Power spectra were computed using a fast Fourier transformation for very low frequency - VLF (0.0033 - 0.04 Hz), low-frequency - LF (0.04-0.15 Hz) and high frequency - HF (0.15-0.40 Hz) powers.Results19 panic disorder patients entered a 6-week open-label treatment study with combination of SSRI and cognitive behavioral therapy. A combination of CBT and pharmacotherapy proved to be the effective treatment of patients. They significantly improved in all rating scales. There were highly statistical significant differences between panic patients and control group in all components of power spectral analysis in 2nd and in two component of 3rd (LF and HF in standing) positions. There was also statistically significant difference between these two groups in LF/HF ratio in supine position (2nd). During therapy there was tendency to increasing values in all three positions in components of HRV power spectra, but there was only statistically significant increasing in HF1 component.Supported by project IGA MZ ČR NS 10301-3/2009

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Spontaneous arrhythmias and heart rate variability in models of cardiac hypertrophy in rat: a Holter monitoring study

Journal of Hypertension ◽

10.1097/00004872-199210000-00032 ◽

1992 ◽

Vol 10 (10) ◽

pp. 1289

Author(s):

F Carre ◽

P Coumel ◽

R Vicuna ◽

P Mabo ◽

Y Lessard ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Cardiac Hypertrophy ◽

Holter Monitoring ◽

Monitoring Study

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Spontaneous Arrhythmias and Heart Rate Variability in Several Models of Cardiac Hypertrophy in Rat: a Holter Monitoring Study

New Aspects in the Treatment of Failing Heart ◽

10.1007/978-4-431-68219-6_45 ◽

1992 ◽

pp. 214-219

Author(s):

François Carré ◽

Philippe Coumel ◽

René Vicuna ◽

Yvon Lessard ◽

Sophie Besse ◽

...

Keyword(s):

Heart Rate ◽

Heart Rate Variability ◽

Cardiac Hypertrophy ◽

Holter Monitoring ◽

Monitoring Study

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Daily Heart Rate Variability Indices in Subjects with and Without Metabolic Syndrome Before and After the Elimination of the Influence of Day-Time Physical Activity

Medicina ◽

10.3390/medicina55100700 ◽

2019 ◽

Vol 55 (10) ◽

pp. 700 ◽

Cited By ~ 1

Author(s):

Slušnienė ◽

Laucevičius ◽

Navickas ◽

Ryliškytė ◽

Stankus ◽

...

Keyword(s):

Physical Activity ◽

Metabolic Syndrome ◽

Heart Rate ◽

Heart Rate Variability ◽

Autoregressive Model ◽

Low Frequency ◽

Holter Monitoring ◽

Control Subjects ◽

Before And After ◽

And Control

Background and Objectives: The available research shows conflicting data on the heart rate variability (HRV) in metabolic syndrome (MetS) subjects. The discrepancy suggests a methodical shortcoming: due to the influence of physical activity, the standard measuring of HRV at rest is not comparable with HRV assessment based on 24h Holter monitoring, which is preferred because of its comprehensiveness. To obtain a more reliable measure and to clarify to what extent HRV is altered in MetS, we assessed a 24h HRV before and after the elimination of the influence of physical activity. Materials and Methods: We investigated 69 metabolic syndrome (MetS) and 37 control subjects, aged 50–55. In all subjects, 24h monitoring of electrocardiogram, blood pressure, and actigraphy profiles were conducted. To eliminate the influence of day-time physical activity on RR intervals (RRI), a linear polynomial autoregressive model with exogenous terms (ARX) was used. Standard spectral RRI analysis was performed. Results: Subjects with MetS had blunted HRV; the diurnal SDNN index was reliably lower in the MetS group than in control subjects. The elimination of the influence of physical activity did not reveal a significant HRV change in long-term indices (SDNN, SDANN, and SD2), whilst adjacent RRI values (RMSSD, pNN50, and SD1) and SDNN index significantly increased (p < 0.001). An increase in the latter indices highlighted the HRV difference between the MetS and control groups; a significant (p < 0.001) decrease of all short-term HRV variables was found in the MetS group (p < 0.01), and low-frequency spectral components were less pronounced in the MetS group. Conclusion: The application of a polynomial autoregressive model in 24h HRV assessment allowed for the exclusion of the influence of physical activity and revealed that MetS is associated with blunted HRV, which reflects mitigated parasympathetic tone.

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