Heart rate variability as predictor of nonresponse to mirtazapine in panic disorder: a preliminary study

Effects of low-frequency noise from wind turbines on heart rate variability in healthy individuals

Wind turbines generate low-frequency noise (LFN, 20-200 Hz), which poses health risks to nearby residents. This study aimed to assess heart rate variability (HRV) responses to LFN exposure and to evaluate the LFN exposure (dB, L_Aeq) inside households located near wind turbines. Thirty subjects living within a 500 m radius of wind turbines were recruited. The field campaigns for LFN (L_Aeq) and HRV monitoring were carried out in July and December 2018. A generalized additive mixed model was employed to evaluate the relationship between HRV changes and LFN. The results suggested that the standard deviations of all the normal to normal R-R intervals were reduced significantly, by 3.39%, with a 95% CI = (0.15%, 6.52%) per 7.86 dB (L_Aeq) of LFN in the exposure range of 38.2-57.1 dB (L_Aeq). The indoor LFN exposure (L_Aeq) ranged between 30.7 and 43.4 dB (L_Aeq) at a distance of 124-330 m from wind turbines. Moreover, households built with concrete and equipped with airtight windows showed the highest LFN difference of 13.7 dB between indoors and outdoors. In view of the adverse health impacts of LFN exposure, there should be regulations on the requisite distances of wind turbines from residential communities for health protection.

Heart rate variability as a biobehavioral marker of diverse psychopathologies: A review and argument for an "ideal range"

Heart rate variability (HRV), a measure of the variability in intervals between subsequent heart beats, is now widely considered an index of emotion regulatory capacity and the ability to adapt flexibly to changing environmental demands. Abnormalities in HRV are implicated in a host of psychopathologies, making it a potentially powerful transdiagnostic biobehavioral change mechanism in treatment interventions. While most mental illnesses are associated with low HRV, eating disorders have been linked to elevated HRV. We examined 62 research articles on HRV in psychopathology to test the hypothesis that there is an "ideal range" of HRV that predicts optimal functioning. Relationships between symptom severity and parameters that quantify HRV were examined graphically. More extreme time-domain HRV measures, both high and low, were associated with psychopathology, whereas healthy controls displayed mid-range values. Findings preliminarily support the hypothesis that there is an "ideal range" of HRV that could be targeted in biofeedback interventions.

The differences between patients with panic disorder and healthy controls in psychophysiological stress profile

BACKGROUND

Alarming somatic symptoms, in particular, cardiovascular symptoms, are the characteristic feature of panic attacks. Increased cardiac mortality and morbidity have been found in these patients. Power spectral analysis of electrocardiogram R-R intervals is known to be a particularly successful tool in the detection of autonomic instabilities in various clinical disorders. Our study aimed to compare patients with panic disorder and healthy controls in heart rate variation (HRV) parameters (very-low-frequency [VLF], low-frequency [LF], and high-frequency [HF] band components of R-R interval) in baseline and during the response to the mental task.

SUBJECTS AND METHODS

We assessed psychophysiological variables in 33 patients with panic disorder (10 men, 23 women; mean age 35.9±10.7 years) and 33 age- and gender-matched healthy controls (10 men, 23 women; mean age 35.8±12.1 years). Patients were treatment naïve. Heart rate, blood pressure, muscle tension, and HRV in basal conditions and after the psychological task were assessed. Power spectrum was computed for VLF (0.003-0.04 Hz), LF (0.04-0.15 Hz), and HF (0.15-0.40 Hz) bands using fast Fourier transformation.

RESULTS

In the baseline period, the VLF band was significantly lower in panic disorder group compared to controls (p<0.005). In the period of mental task, the LF/HF ratio was significantly higher in panic disorder patients compared to controls (p<0.05). No significant differences were found in the remaining parameters. There was a significant difference in ΔHF and ΔLF/HF ratio between patients and controls, with Δ increasing in patients and decreasing in controls.

CONCLUSION

These findings revealed that patients suffering from panic disorder were characterized by relative sympathetic dominance (reactivity) in response to mental stress compared with healthy controls.

Venlafaxine versus applied relaxation for generalized anxiety disorder: a randomized controlled study on clinical and electrophysiological outcomes

Some components of generalized anxiety disorder, such as physical symptoms, are thought to reflect autonomic nervous system arousal. This study primarily assessed the relationships between psychophysiological and clinical measures using venlafaxine extended release or applied relaxation, and secondarily, the impact of combination treatment in patients not remitting after 8 weeks. Fifty-eight patients were randomly assigned to 8 weeks of treatment with either venlafaxine or applied relaxation (Phase I). Non-remitted patients received combination treatment for an additional 8 weeks (Phase II). Assessments included the Hamilton Anxiety Scale (HAM-A), Beck Depression Inventory, Penn State Worry Questionnaire and the Stroop Color-Word Task coupled with electrophysiological measures (skin conductance and frontalis electromyography (EMG)). In Phase 1, a time effect was found for the clinical and skin conductance measures. Thirteen patients from each group were in remission. In Phase 2, seven additional patients remitted. Baseline psychophysiological measures were not associated with baseline clinical variables or with clinical outcomes. Independently of treatment allocation, a reduction in frontal EMG values at week 4 was significantly associated with a decrease in HAM-A scores at week 8. At week 4, responders from the applied relaxation group had lower electrophysiological activity than the venlafaxine group. Baseline psychophysiological measures were not linked with clinical measures at study inclusion or with treatment response. Frontal EMG response at week 4 is a possible predictor of treatment response. Treatment combination enhances treatment response after initial failure.

Determinants for heart rate variability in a normal Korean population

This study examined the normal ranges and the determinants for various parameters of the short-term heart rate variability (HRV) measurements in a large Korean sample of healthy people. HRV measurements were obtained in 2,748 healthy men and 735 healthy women 18-65 yr of age. The mean total power (TP), low frequency (LF), high frequency (HF), and LF/HF ratio were 1,358.9 ± 1,840.8 ms(2), 417.3 ± 807.6 ms(2), 254.1 ± 414.1 ms(2), and 2.4 ± 20.9 ms(2) in the frequency-domain spectral analysis. The mean standard deviation of the normal-to-normal (NN) interval (SDNN) and the square root of the mean squared differences of successive NN intervals (RMSSD) were 39.6 ± 22.1 ms and 29.7 ± 18.1 ms in the time-domain analysis. The female subjects had significantly higher SDNN, RMSSD, and HF values than the male subjects. After controlling for age, there was no statistically significant difference in the SDNN. Quantile regression analysis showed that age and mean heart rate had a significant impact on short-term HRV measurement. Given that both clinicians and researchers are increasingly relying on short-term HRV assessment in measuring stress, our work suggests that age and gender should be considered as independent determinants for HRV.

Effect of medication and psychotherapy on heart rate variability in panic disorder

BACKGROUND

Panic disorder (PD) patients have been shown to have reduced heart rate variability (HRV). Low HRV has been associated with elevated risk for cardiovascular disease. Our aim was to investigate the effects of treatment on heart rate (HR) in patients with PD through a hyperventilation challenge.

METHODS

We studied 54 participants, 43 with Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) PD and 11 controls. Subjects lay supine with their heads in a plastic canopy chamber, resting for 15 min and then breathing at a rate of 30 breaths per minute for 10 min. HRV was sampled for spectral analysis. Clinical and behavioral measures of anxiety were assessed. Treatment was chosen by patients: either 12 weeks of CBT alone or CBT with sertraline.

RESULTS

All patients showed significant decrease on clinical measures from baseline and 31 were treatment responders, 8 dropped out of the study before completion of the 12-week treatment phase and 4 were deemed nonresponders after 12 weeks of treatment. Although both treatments led to significant clinical improvement, only CBT alone demonstrated a significant reduction in HR and increase in HRV.

CONCLUSIONS

Our study replicated the finding that increased HR and decreased HRV occur in PD patients. Given the evidence of cardiac risk related to HRV, CBT appears to have additional benefits beyond symptom reduction. The mechanisms of this difference between CBT and sertraline are unclear and require further study.

Is 5-minute heart rate variability a useful measure for monitoring the autonomic nervous system of workers?

Heart rate variability (HRV) is a noninvasive physiological marker used to assess autonomic nervous function and can be recorded over the short or long term. Long-term recording is a good method for assessing mortality and patient prognosis, while short-term measurement is widely used due to practical advantages and reproducibility. However, little is known about whether a short-term assessment reflects the variation in the overall heart rate of workers. This study evaluated the relationship between the 24-hour and 5-minute HRV, which was selected from a 24-hour recording. The study population was 153 male workers at the National Rail Company in Korea, who had their heart rates assessed for 24 hours. In the time and frequency domains, the correlations of the HRV between 24 hours and 5 minutes were calculated for the entire time and limited times (09:00-17:00). We found modest correlations in the time (R = 0.614-0.668) and frequency (R = 0.508-0.817) domains, but the best correlation was for the high-frequency spectra (HF; R = 0.817). Our findings suggest that the short-term HRV remains stable and may be applicable for screening the variation in the heart rate of workers, although not all of the correlations were sufficiently strong.

Power spectrum analysis and cardiovascular morbidity in anxiety disorders

Spectral analysis of heart rate variability (HRV) and related measures has been shown to be a reliable noninvasive technique enabling quantitative assessment of cardiovascular autonomic regulatory responses to autonomic regulatory mechanisms; it provides a dynamic probe of sympathetic and parasympathetic tone, reflecting the interactions between the two. Over 20 studies reported abnormalities of HRV in anxiety, and patients with heart disease and anxiety are at increased risk for morbidity and mortality. Psychiatric drugs partly correct abnormalities of HRV and, recently, autonomic drugs (beta-blockers) have been studied in anxiety disorders. The authors call for further studies, especially in patients with co-existing anxiety disorders and heart disease, incorporating assessment of HRV.

Predictors of pharmacotherapy response in anxiety disorders

Although treatment with different compounds such as tricyclic antidepressants, selective serotonin reuptake inhibitors, high-potency benzodiazepines, and monoamine oxidase inhibitors has been proven effective in anxiety disorders, 20% to 40% of patients are nonresponders. Given the limited efficacy, the delayed onset of response (it takes several weeks before a clinical effect can be seen for most of these drugs), and the occurrence of side effects associated with pharmacotherapy, predicting response in anxiety disorders would be immensely valuable. This review surveys the literature over the past years on predictors of response to pharmacotherapy in obsessive-compulsive disorder, social anxiety disorder, panic disorder, and posttraumatic stress disorder. Prediction of treatment response may be founded on demographic and clinical variables, neurochemical and electrophysiologic parameters, imaging studies, and genetic markers.