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Evaluation of cardiac autonomic nervous system in patients with ankylosing spondylitis using 12-lead electrocardiography and Holter monitoring

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Abstract

Objectives

Ankylosing spondylitis (AS) is associated with increased risk of cardiovascular problems, including complications such as conduction defects and arrhythmias, which might lead to increased morbidity and/or mortality. The objective of the present study is to evaluate the electrocardiographic (ECG) parameters, including T-peak to T-end intervals (Tpe), Tpe/corrected QT (QTc) ratio, heart rate variability (HRV), and heart rate turbulence (HRT) in AS patients.

Methods

Seventy-six AS patients and 55 control subjects were included in the study. 12-lead ECG and 24-h Holter monitoring recordings were obtained. Tpe and Tpe/QTc were measured using the 12-lead ECG and HRV and HRT parameters were assessed using 24-h Holter ECG recordings. Subjects were assigned into three groups based on their HRT parameters (Tonset (TO) and Tslope (TS)) (HRT-0, normal TO or TS; HRT-1, abnormal TO or TS; HRT-2, abnormal TO and TS).

Results

Tpe was prolonged and Tpe/QTc ratio was higher in AS patients (p < 0.001 for both). Moreover, Tpe and Tpe/QTc ratio significantly correlated with disease duration. All HRV parameters (VLF, LF, HF, SDNN, SDANN, ASDNN, rMSSD, pNN50) were decreased in AS patients in comparison with those in control subjects (p < 0.05 for all parameters). Controls were significantly more likely to have normal TO and TS (82% vs 53%, p < 0.001). There was negative correlation between Holter parameters and disease duration, as well as Tpe and Tpe/QTc ratio (p < 0.05 for all parameters).

Conclusions

This study demonstrated that AS patients have disrupted ventricular repolarization (increased Tpe, Tpe/QTc ratio). Results suggest a decreased cardiac impact of the parasympathetic system in AS patients.

Key Points

• This study demonstrated that AS patients have disrupted ventricular repolarization.

• The study also finds that heart rate turbulence and heart rate variability are impaired in AS patients.

• Impaired Holter and ECG parameters may be one of the high cardiovascular risk factors in AS patients.

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References

  1. van der Linden S, Valkenburg HA, Cats A (1984) Evaluation of diagnostic criteria for ankylosing spondylitis. A proposal for modification of the New York criteria. Arthritis Rheum 27(4):361–368

    Article  Google Scholar 

  2. Bergfeldt L, Edhag O, Vallin H (1982) Cardiac conduction disturbances, an underestimated manifestation in ankylosing spondylitis. A 25-year follow-up study of 68 patients. Acta Med Scand 212(4):217–223

    Article  CAS  Google Scholar 

  3. Bergfeldt L, Edhag O, Vedin L, Vallin H (1982) Ankylosing spondylitis: an important cause of severe disturbances of the cardiac conduction system. Prevalence among 223 pacemaker-treated men. Am J Med 73(2):187–191. https://doi.org/10.1016/0002-9343(82)90177-2

    Article  CAS  PubMed  Google Scholar 

  4. Bulkley BH, Roberts WC (1973) Ankylosing spondylitis and aortic regurgitation. Description of the characteristic cardiovascular lesion from study of eight necropsy patients. Circulation 48(5):1014–1027. https://doi.org/10.1161/01.cir.48.5.1014

    Article  CAS  PubMed  Google Scholar 

  5. Heslinga SC, Van Dongen CJ, Konings TC, Peters MJ, Van der Horst-Bruinsma IE, Smulders YM, Nurmohamed MT (2014) Diastolic left ventricular dysfunction in ankylosing spondylitis--a systematic review and meta-analysis. Semin Arthritis Rheum 44(1):14–19. https://doi.org/10.1016/j.semarthrit.2014.02.004

    Article  PubMed  Google Scholar 

  6. Julkunen H (1966) Atrioventricular conduction defect in ankylosing spondylitis. Geriatrics 21(10):129–131

    CAS  PubMed  Google Scholar 

  7. O’Neill TW, Bresnihan B (1992) The heart in ankylosing spondylitis. Ann Rheum Dis 51(6):705–706. https://doi.org/10.1136/ard.51.6.705

    Article  PubMed  PubMed Central  Google Scholar 

  8. Kazmierczak J, Peregud-Pogorzelska M, Biernawska J, Przepiera-Bedzak H, Goracy J, Brzosko I, Plonska E, Brzosko M (2007) Cardiac arrhythmias and conduction disturbances in patients with ankylosing spondylitis. Angiology 58(6):751–756. https://doi.org/10.1177/0003319707299208

    Article  PubMed  Google Scholar 

  9. Forsblad-d’Elia H, Wallberg H, Klingberg E, Carlsten H, Bergfeldt L (2013) Cardiac conduction system abnormalities in ankylosing spondylitis: a cross-sectional study. BMC Musculoskelet Disord 14:237. https://doi.org/10.1186/1471-2474-14-237

    Article  PubMed  PubMed Central  Google Scholar 

  10. Radford EP, Doll R, Smith PG (1977) Mortality among patients with ankylosing spondylitis not given X-ray therapy. N Engl J Med 297(11):572–576. https://doi.org/10.1056/nejm197709152971103

    Article  CAS  PubMed  Google Scholar 

  11. Umetani K, Singer DH, McCraty R, Atkinson M (1998) Twenty-four hour time domain heart rate variability and heart rate: relations to age and gender over nine decades. J Am Coll Cardiol 31(3):593–601

    Article  CAS  Google Scholar 

  12. Otzenberger H, Gronfier C, Simon C, Charloux A, Ehrhart J, Piquard F, Brandenberger G (1998) Dynamic heart rate variability: a tool for exploring sympathovagal balance continuously during sleep in men. Am J Phys 275(3):H946–H950. https://doi.org/10.1152/ajpheart.1998.275.3.H946

    Article  CAS  Google Scholar 

  13. DeGiorgio CM, Miller P, Meymandi S, Chin A, Epps J, Gordon S, Gornbein J, Harper RM (2010) RMSSD, a measure of vagus-mediated heart rate variability, is associated with risk factors for SUDEP: the SUDEP-7 inventory. Epilepsy Behav 19(1):78–81. https://doi.org/10.1016/j.yebeh.2010.06.011

  14. Taylor JA, Carr DL, Myers CW, Eckberg DL (1998) Mechanisms underlying very-low-frequency RR-interval oscillations in humans. Circulation 98(6):547–555. https://doi.org/10.1161/01.cir.98.6.547

    Article  CAS  PubMed  Google Scholar 

  15. Reyes del Paso GA, Langewitz W, Mulder LJ, van Roon A, Duschek S (2013) The utility of low frequency heart rate variability as an index of sympathetic cardiac tone: a review with emphasis on a reanalysis of previous studies. Psychophysiology 50(5):477–487. https://doi.org/10.1111/psyp.12027

    Article  PubMed  Google Scholar 

  16. Grossman P, Taylor EW (2007) Toward understanding respiratory sinus arrhythmia: relations to cardiac vagal tone, evolution and biobehavioral functions. Biol Psychol 74(2):263–285. https://doi.org/10.1016/j.biopsycho.2005.11.014

    Article  PubMed  Google Scholar 

  17. Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology (1996). Circulation 93 (5):1043–1065

  18. Bigger JT Jr, Fleiss JL, Steinman RC, Rolnitzky LM, Kleiger RE, Rottman JN (1992) Frequency domain measures of heart period variability and mortality after myocardial infarction. Circulation 85(1):164–171. https://doi.org/10.1161/01.cir.85.1.164

    Article  PubMed  Google Scholar 

  19. Tsuji H, Venditti FJ Jr, Manders ES, Evans JC, Larson MG, Feldman CL, Levy D (1994) Reduced heart rate variability and mortality risk in an elderly cohort. The Framingham Heart Study. Circulation 90(2):878–883. https://doi.org/10.1161/01.cir.90.2.878

    Article  CAS  PubMed  Google Scholar 

  20. Lin LY, Lai LP, Lin JL, Du CC, Shau WY, Chan HL, Tseng YZ, Huang SK (2002) Tight mechanism correlation between heart rate turbulence and baroreflex sensitivity: sequential autonomic blockade analysis. J Cardiovasc Electrophysiol 13(5):427–431

    Article  Google Scholar 

  21. Castro Hevia J, Antzelevitch C, Tornes Barzaga F, Dorantes Sanchez M, Dorticos Balea F, Zayas Molina R, Quinones Perez MA, Fayad Rodriguez Y (2006) Tpeak-Tend and Tpeak-Tend dispersion as risk factors for ventricular tachycardia/ventricular fibrillation in patients with the Brugada syndrome. J Am Coll Cardiol 47(9):1828–1834. https://doi.org/10.1016/j.jacc.2005.12.049

    Article  PubMed  Google Scholar 

  22. Erikssen G, Liestol K, Gullestad L, Haugaa KH, Bendz B, Amlie JP (2012) The terminal part of the QT interval (T peak to T end): a predictor of mortality after acute myocardial infarction. Annals of Noninvasive Electrocardiology : the Official Journal of the International Society for Holter and Noninvasive Electrocardiology, Inc 17(2):85–94. https://doi.org/10.1111/j.1542-474X.2012.00493.x

    Article  Google Scholar 

  23. Tsuji H, Larson MG, Venditti FJ Jr, Manders ES, Evans JC, Feldman CL, Levy D (1996) Impact of reduced heart rate variability on risk for cardiac events. The Framingham Heart Study. Circulation 94(11):2850–2855. https://doi.org/10.1161/01.cir.94.11.2850

    Article  CAS  PubMed  Google Scholar 

  24. Schmidt G, Malik M, Barthel P, Schneider R, Ulm K, Rolnitzky L, Camm AJ, Bigger JT Jr, Schomig A (1999) Heart-rate turbulence after ventricular premature beats as a predictor of mortality after acute myocardial infarction. Lancet (London, England) 353(9162):1390–1396. https://doi.org/10.1016/s0140-6736(98)08428-1

    Article  CAS  Google Scholar 

  25. Martins NA, Furtado GE, Campos MJ, Leitao JC, Filaire E, Ferreira JP (2014) Exercise and ankylosing spondylitis with New York modified criteria: a systematic review of controlled trials with meta-analysis. Acta Reumatol Port 39(4):298–308

    CAS  PubMed  Google Scholar 

  26. Garrett S, Jenkinson T, Kennedy LG, Whitelock H, Gaisford P, Calin A (1994) A new approach to defining disease status in ankylosing spondylitis: the Bath Ankylosing spondylitis disease activity index. J Rheumatol 21(12):2286–2291

    CAS  PubMed  Google Scholar 

  27. Gunes Y, Tuncer M, Guntekin U, Sahin M, Yazmalar L (2009) Effects of ankylosing spondylitis on the heart. Acta Cardiol 64(3):385–392. https://doi.org/10.2143/ac.64.3.2038026

    Article  PubMed  Google Scholar 

  28. Kaya EB, Okutucu S, Aksoy H, Karakulak UN, Tulumen E, Ozdemir O, Inanici F, Aytemir K, Kabakci G, Tokgozoglu L, Ozkutlu H, Oto A (2010) Evaluation of cardiac autonomic functions in patients with ankylosing spondylitis via heart rate recovery and heart rate variability. Clinical Research in Cardiology : Official Journal of the German Cardiac Society 99(12):803–808. https://doi.org/10.1007/s00392-010-0187-x

    Article  Google Scholar 

  29. Yildirir A, Aksoyek S, Calguneri M, Aytemir K, Kabakci G, Ovunc K, Nazli N, Ozmen F, Oto A, Kes S (2000) QT dispersion as a predictor of arrhythmic events in patients with ankylosing spondylitis. Rheumatology (Oxford, England) 39(8):875–879. https://doi.org/10.1093/rheumatology/39.8.875

    Article  CAS  Google Scholar 

  30. Borman P, Gokoglu F, Kocaoglu S, Yorgancioglu ZR (2008) The autonomic dysfunction in patients with ankylosing spondylitis: a clinical and electrophysiological study. Clin Rheumatol 27(10):1267–1273. https://doi.org/10.1007/s10067-008-0906-0

    Article  PubMed  Google Scholar 

  31. Thayer JF, Yamamoto SS, Brosschot JF (2010) The relationship of autonomic imbalance, heart rate variability and cardiovascular disease risk factors. Int J Cardiol 141(2):122–131. https://doi.org/10.1016/j.ijcard.2009.09.543

    Article  PubMed  Google Scholar 

  32. Thomsen NH, Horslev-Petersen K, Beyer JM (1986) Ambulatory 24-hour continuous electrocardiographic monitoring in 54 patients with ankylosing spondylitis. Eur Heart J 7(3):240–246. https://doi.org/10.1093/oxfordjournals.eurheartj.a062058

    Article  CAS  PubMed  Google Scholar 

  33. Lehtinen K (1993) Mortality and causes of death in 398 patients admitted to hospital with ankylosing spondylitis. Ann Rheum Dis 52(3):174–176. https://doi.org/10.1136/ard.52.3.174

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Shaffer F, Ginsberg JP (2017) An overview of heart rate variability metrics and norms. Front Public Health 5:258. https://doi.org/10.3389/fpubh.2017.00258

    Article  PubMed  PubMed Central  Google Scholar 

  35. Ponikowski P, Anker SD, Chua TP, Szelemej R, Piepoli M, Adamopoulos S, Webb-Peploe K, Harrington D, Banasiak W, Wrabec K, Coats AJ (1997) Depressed heart rate variability as an independent predictor of death in chronic congestive heart failure secondary to ischemic or idiopathic dilated cardiomyopathy. Am J Cardiol 79(12):1645–1650. https://doi.org/10.1016/s0002-9149(97)00215-4

    Article  CAS  PubMed  Google Scholar 

  36. La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ (1998) Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes after Myocardial Infarction) Investigators. Lancet (London, England) 351(9101):478–484. https://doi.org/10.1016/s0140-6736(97)11144-8

    Article  Google Scholar 

  37. Toussirot E, Bahjaoui-Bouhaddi M, Poncet JC, Cappelle S, Henriet MT, Wendling D, Regnard J (1999) Abnormal autonomic cardiovascular control in ankylosing spondylitis. Ann Rheum Dis 58(8):481–487. https://doi.org/10.1136/ard.58.8.481

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Poddubnyi DA, Gaidukova IZ, Rebrov AP (2009) Heart rate variability in patients with ankylosing spondylitis (Bekhterev’s disease). Terapevticheskii arkhiv 81(6):56–62

    CAS  PubMed  Google Scholar 

  39. Wei CY, Kung WM, Chou YS, Wang YC, Tai HC, Wei JC (2016) Cardiac autonomic function in patients with ankylosing spondylitis: a case-control study. Medicine 95(21):e3749. https://doi.org/10.1097/md.0000000000003749

    Article  PubMed  PubMed Central  Google Scholar 

  40. Yildirir A, Aksoyek S, Calguneri M, Aytemir K, Apras S, Kiraz S, Kabakci G, Ovunc K, Oto A, Kes S (2001) No evidence of cardiac autonomic involvement in ankylosing spondylitis, as assessed by heart rate variability. Clin Rheumatol 20(3):185–188

    Article  CAS  Google Scholar 

  41. Pagani M, Lombardi F, Guzzetti S, Sandrone G, Rimoldi O, Malfatto G, Cerutti S, Malliani A (1984) Power spectral density of heart rate variability as an index of sympatho-vagal interaction in normal and hypertensive subjects. Journal of Hypertension Supplement : Official Journal of the International Society of Hypertension 2(3):S383–S385

    CAS  Google Scholar 

  42. Lin K, Wei L, Huang Z, Zeng Q (2017) Combination of Ewing test, heart rate variability, and heart rate turbulence analysis for early diagnosis of diabetic cardiac autonomic neuropathy. Medicine 96(45):e8296. https://doi.org/10.1097/md.0000000000008296

    Article  PubMed  PubMed Central  Google Scholar 

  43. Cygankiewicz I (2013) Heart rate turbulence. Prog Cardiovasc Dis 56(2):160–171. https://doi.org/10.1016/j.pcad.2013.08.002

    Article  PubMed  Google Scholar 

  44. Ghuran A, Reid F, La Rovere MT, Schmidt G, Bigger JT Jr, Camm AJ, Schwartz PJ, Malik M (2002) Heart rate turbulence-based predictors of fatal and nonfatal cardiac arrest (the autonomic tone and reflexes after myocardial infarction substudy). Am J Cardiol 89(2):184–190. https://doi.org/10.1016/s0002-9149(01)02198-1

    Article  PubMed  Google Scholar 

  45. Peeters AJ, ten Wolde S, Sedney MI, de Vries RR, Dijkmans BA (1991) Heart conduction disturbance: an HLA-B27 associated disease. Ann Rheum Dis 50(6):348–350. https://doi.org/10.1136/ard.50.6.348

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Gupta P, Patel C, Patel H, Narayanaswamy S, Malhotra B, Green JT, Yan GX (2008) T(p-e)/QT ratio as an index of arrhythmogenesis. J Electrocardiol 41(6):567–574. https://doi.org/10.1016/j.jelectrocard.2008.07.016

    Article  PubMed  Google Scholar 

  47. Zhao X, Xie Z, Chu Y, Yang L, Xu W, Yang X, Liu X, Tian L (2012) Association between Tp-e/QT ratio and prognosis in patients undergoing primary percutaneous coronary intervention for ST-segment elevation myocardial infarction. Clin Cardiol 35(9):559–564. https://doi.org/10.1002/clc.22022

    Article  PubMed  PubMed Central  Google Scholar 

  48. Acar G, Yorgun H, Inci MF, Akkoyun M, Bakan B, Nacar AB, Dirnak I, Cetin GY, Bozoglan O (2014) Evaluation of Tp-e interval and Tp-e/QT ratio in patients with ankylosing spondylitis. Mod Rheumatol 24(2):327–330. https://doi.org/10.3109/14397595.2013.854072

    Article  PubMed  Google Scholar 

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Correspondence to Mustafa Candemir.

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The study was performed according to the 1997 Declaration of Helsinki of the World Medical Association and has been approved by the local ethics committee, all the participants gave written informed consent.

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Candemir, M., Candemir, B. & Ertürk, A. Evaluation of cardiac autonomic nervous system in patients with ankylosing spondylitis using 12-lead electrocardiography and Holter monitoring. Clin Rheumatol 39, 2631–2639 (2020). https://doi.org/10.1007/s10067-020-05046-y

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