Yuan Zhang1, Bo Zhou2, Jian Qiu2, Lijuan Zhang1, Zhili Zou3. 1. Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, Sichuan, PR China. 2. Psychosomatic department, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu 610072, PR China. 3. Psychosomatic department, Sichuan Academy of Medical Science & Sichuan Provincial People's Hospital, Chengdu 610072, PR China. Electronic address: zou_zhili@hotmail.com.
Abstract
BACKGROUND: This review aimed to evaluate whether patients with panic disorder (PD) exhibit different heart rate variability (HRV) compared to healthy controls and to determine whether HRV is different in patients with PD after treatment. METHODS: Literature databases were searched for studies comparing resting-state HRV between drug-naïve patients with PD and healthy controls. Parameters from the short-term frequency-domain and long-term time domain were included. RESULTS: In the low frequency (LF) analysis, no significant association was found between LF and PD (standardised mean difference [SMD] = -0.0443, 95% confidence interval [CI]: -0.1765 to 0.0879). In the high frequency (HF) analysis, no significant association was found between HF and PD (SMD = -0.1269, 95% CI: -0.2598 to 0.0059). In the LF/HF analysis, a significantly higher LF/HF ratio was found in cases than in controls, but the effect was moderate (SMD = 0.1390, 95% CI: 0.0180 to 0.2600). For the standard deviation of normal-to-normal intervals, a significantly lower value was observed in cases than in controls (SMD = -0.3133, 95% CI: -0.5459 to -0.0808). LIMITATIONS: Limited sample size in the time-domain and treatment effect analyses. CONCLUSIONS: Patients with PD had a higher short-term LF/HF ratio, indicating impaired sympathovagal balance. The LF/HF ratio findings were more consistent compared with LF and HF alone, making it a better parameter to interpret the LF and HF in conjunction. HRV may be a promising biomarker for predicting antidepressant response.
BACKGROUND: This review aimed to evaluate whether patients with panic disorder (PD) exhibit different heart rate variability (HRV) compared to healthy controls and to determine whether HRV is different in patients with PD after treatment. METHODS: Literature databases were searched for studies comparing resting-state HRV between drug-naïve patients with PD and healthy controls. Parameters from the short-term frequency-domain and long-term time domain were included. RESULTS: In the low frequency (LF) analysis, no significant association was found between LF and PD (standardised mean difference [SMD] = -0.0443, 95% confidence interval [CI]: -0.1765 to 0.0879). In the high frequency (HF) analysis, no significant association was found between HF and PD (SMD = -0.1269, 95% CI: -0.2598 to 0.0059). In the LF/HF analysis, a significantly higher LF/HF ratio was found in cases than in controls, but the effect was moderate (SMD = 0.1390, 95% CI: 0.0180 to 0.2600). For the standard deviation of normal-to-normal intervals, a significantly lower value was observed in cases than in controls (SMD = -0.3133, 95% CI: -0.5459 to -0.0808). LIMITATIONS: Limited sample size in the time-domain and treatment effect analyses. CONCLUSIONS:Patients with PD had a higher short-term LF/HF ratio, indicating impaired sympathovagal balance. The LF/HF ratio findings were more consistent compared with LF and HF alone, making it a better parameter to interpret the LF and HF in conjunction. HRV may be a promising biomarker for predicting antidepressant response.
Authors: Mary C Kimmel; Emma Fransson; Janet L Cunningham; Emma Brann; Karen Grewen; Dario Boschiero; George P Chrousos; Samantha Meltzer-Brody; Alkistis Skalkidou Journal: Transl Psychiatry Date: 2021-05-14 Impact factor: 6.222
Authors: Jose A Parraca; Joana Alegrete; Santos Villafaina; Nuno Batalha; Juan Pedro Fuentes-García; Diego Muñoz; Orlando Fernandes Journal: Int J Environ Res Public Health Date: 2022-03-18 Impact factor: 3.390