Heart Rate Variability for Quantification of Autonomic Dysfunction in Fibromyalgia
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
Objective To quantify autonomic dysfunction in fibromyalgia patients compared to healthy controls using heart rate variability (HRV).Methods Sixteen patients with fibromyalgia and 16 healthy controls were recruited in this case control study. HRV was measured using the time-domain method incorporating the following parameters: total heartbeats, the mean of intervals between consecutive heartbeats (R-R intervals), the standard deviation of normal to normal R-R intervals (SDNN), the square root of the mean squared differences of successive R-R intervals (RMSSD), ratio of SDNN to RMSSD (SDNN/RMSSD), and difference between the longest and shortest R-R interval under different three conditions including normal quiet breathing, rate controlled breathing, and Valsalva maneuver. The severity of autonomic symptoms in the group of patients with fibromyalgia was measured by Composite Autonomic Symptom Scale 31 (COMPASS 31). Then we analyzed the difference between the fibromyalgia and control groups and the correlation between the COMPASS 31 and aforementioned HRV parameters in the study groups.Results Patients with fibromyalgia had significantly higher SDNN/RMSSD values under both normal quiet breathing and rate controlled breathing compared to controls. Differences between the longest and shortest R-R interval under Valsalva maneuver were also significantly lower in patients with fibromyalgia than in controls. COMPASS 31 score was negatively correlated with SDNN/RMSSD values under rate controlled breathing.Conclusion SDNN/RMSSD is a valuable parameter for autonomic nervous system function and can be used to quantify subjective autonomic symptoms in patients with fibromyalgia.
Abstract
Objective To quantify autonomic dysfunction in fibromyalgia patients compared to healthy controls using heart rate variability (HRV).Methods Sixteen patients with fibromyalgia and 16 healthy controls were recruited in this case control study. HRV was measured using the time-domain method incorporating the following parameters: total heartbeats, the mean of intervals between consecutive heartbeats (R-R intervals), the standard deviation of normal to normal R-R intervals (SDNN), the square root of the mean squared differences of successive R-R intervals (RMSSD), ratio of SDNN to RMSSD (SDNN/RMSSD), and difference between the longest and shortest R-R interval under different three conditions including normal quiet breathing, rate controlled breathing, and Valsalva maneuver. The severity of autonomic symptoms in the group of patients with fibromyalgia was measured by Composite Autonomic Symptom Scale 31 (COMPASS 31). Then we analyzed the difference between the fibromyalgia and control groups and the correlation between the COMPASS 31 and aforementioned HRV parameters in the study groups.Results Patients with fibromyalgia had significantly higher SDNN/RMSSD values under both normal quiet breathing and rate controlled breathing compared to controls. Differences between the longest and shortest R-R interval under Valsalva maneuver were also significantly lower in patients with fibromyalgia than in controls. COMPASS 31 score was negatively correlated with SDNN/RMSSD values under rate controlled breathing.Conclusion SDNN/RMSSD is a valuable parameter for autonomic nervous system function and can be used to quantify subjective autonomic symptoms in patients with fibromyalgia.
참고문헌 (39)
- Bennett RM, "An internet survey of 2,596 people with fibromyalgia", BMC Musculoskelet Disord, 8, pp.27~ (2007)
- Cohen H, "Autonomic dysfunction in patients with fibromyalgia: application of power spectral analysis of heart rate variability", Semin Arthritis Rheum, 29, pp.217~227 (2000)
- Hoffman DL, "The health status burden of people with fibromyalgia: a review of studies that assessed health status with the SF-36 or the SF-12", Int J Clin Pract, 62, pp.115~126 (2008)
- Kurtze N, "Quality of life, functional disability and lifestyle among subgroups of fibromyalgia patients: the significance of anxiety and depression", Br J Med Psychol, 72(Pt 4), pp.471~484 (1999)
- Clauw DJ, "The science of fibromyalgia", Mayo Clin Proc, 86, pp.907~911 (2011)
- Lautenbacher S, "Possible deficiencies of pain modulation in fibromyalgia", Clin J Pain, 13, pp.189~196 (1997)
- Buskila D, "Developments in the scientific and clinical understanding of fibromyalgia", Arthritis Res Ther, 11, pp.242~ (2009)
- Figueroa A, "Resistance exercise training improves heart rate variability in women with fibromyalgia", Clin Physiol Funct Imaging, 28, pp.49~54 (2008)
- Kulshreshtha P, "Autonomic nervous system profile in fibromyalgia patients and its modulation by exercise: a mini review", Clin Physiol Funct Imaging, 33, pp.83~91 (2013)
- Tak LM, "As good as it gets? A meta-analysis and systematic review of methodological quality of heart rate variability studies in functional somatic disorders", Biol Psychol, 82, pp.101~110 (2009)
- Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology, "Heart rate variability: standards of measurement, physiological interpretation, and clinical use", Eur Heart J, 17, pp.354~381 (1996)
- Cohen H, "Abnormal sympathovagal balance in men with fibromyalgia", J Rheumatol, 28, pp.581~589 (2001)
- Martinez-Lavin M, "Circadian studies of autonomic nervous balance in patients with fibromyalgia: a heart rate variability analysis", Arthritis Rheum, 41, pp.1966~1971 (1998)
- Raj SR, "Dysautonomia among patients with fibromyalgia: a noninvasive assessment", J Rheumatol, 27, pp.2660~2665 (2000)
- Furlan R, "Abnormalities of cardiovascular neural control and reduced orthostatic tolerance in patients with primary fibromyalgia", J Rheumatol, 32, pp.1787~1793 (2005)
- Cevese A, "Baroreflex and oscillation of heart period at 0.1 Hz studied by alpha-blockade and cross-spectral analysis in healthy humans", J Physiol, 531(Pt 1), pp.235~244 (2001)
- Otzenberger H, "Dynamic heart rate variability:a tool for exploring sympathovagal balance continuously during sleep in men", Am J Physiol, 275(3 Pt 2), pp.H946~H950 (1998)
- Solano C, "Autonomic dysfunction in fibromyalgia assessed by the Composite Autonomic Symptoms Scale (COMPASS)", J Clin Rheumatol, 15, pp.172~176 (2009)
- Sletten DM, "COMPASS 31: a refined and abbreviated Composite Autonomic Symptom Score", Mayo Clin Proc, 87, pp.1196~1201 (2012)
- Meeus M, "Heart rate variability in patients with fibromyalgia and patients with chronic fatigue syndrome: a systematic review", Semin Arthritis Rheum, 43, pp.279~287 (2013)
- Wang HM, "SDNN", RMSSD as a surrogate for LF, Model Simul Eng, pp.2012, 2012[DOI]
- Penttila J, "Time domain, geometrical and frequency domain analysis of cardiac vagal outflow:effects of various respiratory patterns", Clin Physiol, 21, pp.365~376 (2001)
- Berntson GG, "Filter properties of root mean square successive difference (RMSSD) for heart rate", Psychophysiology, 42, pp.246~252 (2005)
- Bigger JT Jr, "Correlations among time and frequency domain measures of heart period variability two weeks after acute myocardial infarction", Am J Cardiol, 69, pp.891~898 (1992)
- Calvert CA, "Correlations among time and frequency measures of heart rate variability recorded by use of a Holter monitor in overtly healthy Doberman pinschers with and without echocardiographic evidence of dilated cardiomyopathy", Am J Vet Res, 62, pp.1787~1792 (2001)
- Balocchi R, "Revisiting the potential of time-domain indexes in short-term HRV analysis", Biomed Tech (Berl), 51, pp.190~193 (2006)
- Malliani A, "Cardiovascular neural regulation explored in the frequency domain", Circulation, 84, pp.482~492 (1991)
- Yeo HS, "An analysis of HRV spectrum for observing ANS variations caused by sympathectomy and vagotomy", Korean J Phys Anthropol, 12, pp.289~296 (1999)
- Sollers JJ 3rd, "Comparison of the ratio of the standard deviation of the R-R interval and the root mean squared successive differences (SD", rMSSD) to the low frequency-to-high frequency (LF, Biomed Sci Instrum, pp.2007, 43[DOI]
- Pagani M, "Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal and hypertensive subjects", J Hypertens Suppl, 2, pp.S383~S385 (1984)
- Newton JL, "Symptoms of autonomic dysfunction in chronic fatigue syndrome", QJM, 100, pp.519~526 (2007)
- Kim SK, "Effect of fibromyalgia syndrome on the healthrelated quality of life and economic burden in Korea", Rheumatology (Oxford), 52, pp.311~320 (2013)
- Chalaye P, "Comparing pain modulation and autonomic responses in fibromyalgia and irritable bowel syndrome patients", Clin J Pain, 28, pp.519~526 (2012)
- Woolf CJ, "Central sensitization: implications for the diagnosis and treatment of pain", Pain, 152(3Suppl), pp.S2~S15 (2011)
- Serra J, "Hyperexcitable C nociceptors in fibromyalgia", Ann Neurol, 75, pp.196~208 (2014)
- Uceyler N, "Small fibre pathology in patients with fibromyalgia syndrome", Brain, 136(Pt 6), pp.1857~1867 (2013)
- Lotufo PA, "A systematic review and meta-analysis of heart rate variability in epilepsy and antiepileptic drugs", Epilepsia, 53, pp.272~282 (2012)
- Kemp AH, "Impact of depression and antidepressant treatment on heart rate variability: a review and meta-analysis", Biol Psychiatry, 67, pp.1067~1074 (2010)
- Yeragani VK, "Major depression with ischemic heart disease: effects of paroxetine and nortriptyline on long-term heart rate variability measures", Biol Psychiatry, 52, pp.418~429 (2002)
