Today: Feb 1, 2023
RU / EN
Last update: Dec 26, 2022
Organized Structure of Ventricular Fibrillation during Prolonged Heart Perfusion in Dogs

Organized Structure of Ventricular Fibrillation during Prolonged Heart Perfusion in Dogs

Guryanov M.I., Pusev R.S., Guryanova N.M., Kharitonova E.A., Yablonsky P.K.
Key words: ventricular fibrillation; organized structure of ventricular fibrillation; perfusion.
2020, volume 12, issue 3, page 26.

Full text

html pdf
828
780

The aim of the study was to identify the organized ventricular fibrillation (VF) activity in the dog heart and characterize its quantitative parameters during prolonged heart perfusion.

Materials and Methods. A total of four experiments on isolated dog’s hearts perfused with the blood of a supporting dog were performed. Episodes of VF were recorded in the form of an electrogram followed by a spectral analysis by the fast Fourier transform in the range of 0.5–15 Hz. The frequency, spectral power (amplitude), and relative weight (%) of the 1st, 2nd, and 3rd highest amplitude oscillations were determined (frequency — mode; amplitude, relative weight — M±SEM; n=120).

Results. In the perfused dog heart, VF was characterized by an organized activity, as evidenced by the dominant structure of the oscillation frequencies. Oscillations with a frequency of 9–10 Hz (occurring in 1/10 of the 0.5–15 Hz range) represent 42–44% of the spectral power and dominate the structure of the oscillation frequencies. The frequency and spectral power of the dominating oscillations proved to be stable thus indicating that under perfusion, VF did not cause disturbances in the heart organized activity.

Conclusion. Our experimentation with isolated perfused hearts revealed the patterns of VF that could not be revealed in situ under conditions complicated by nerve factors and ischemia in VF. The results of the work are protected with a patent which is applicable for VF diagnosis in implantable defibrillators.

  1. Gurvich N.L. Osnovnye printsipy defibrillyatsii serdtsa [The main principles of cardiac defibrillation]. Moscow: Meditsina; 1975.
  2. Ellenbogen K.A., Kay G.N., Wilkoff B.L. Clinical cardiac pacing and defibrillation. W.B. Saunders Company; 2000.Hayashi M., Shimizu W., Albert C.M. The spectrum of epidemiology underlying sudden cardiac death. Circ Res 2015; 116(12): 1887–1906, https://doi.org/10.1161/circresaha.116.304521.
  3. Vostrikov V.A., Kuzovlev A.N. Public-access defibrillation in sudden cardiac arrest (short review). Obshchaya reanimatologiya 2018; 14(1): 58–67.
  4. Narayan S.M., Wang P.J., Daubert J.P. New concepts in sudden cardiac arrest to address an intractable epidemic: JACC state-of-the-art review. J Am Coll Cardiol 2019; 73(1): 70–88, https://doi.org/10.1016/j.jacc.2018.09.083.
  5. Jalife J. Mathematical approaches to cardiac arrhythmias. Ann N Y Acad Sci 1990; 591: 1–416.
  6. Karma A. Physics of cardiac arrhythmogenesis. Annu Rev Condens Matter Phys 2013; 4: 313–337, https://doi.org/10.1146/annurev-conmatphys-020911-125112.
  7. Pandit S.V., Jalife J. Rotors and the dynamics of cardiac fibrillation. Circ Res 2013; 112(5): 849–862, https://doi.org/10.1161/circresaha.111.300158.
  8. Qu Z., Weiss J.N. Mechanisms of ventricular arrhythmias: from molecular fluctuations to electrical turbulence. Annu Rev Physiol 2015; 77: 29–55, https://doi.org/10.1146/annurev-physiol-021014-071622.
  9. Huizar J.F., Warren M.D., Shvedko A.G., Kalifa J., Moreno J., Mironov S., Jalife J., Zaitsev A.V. Three distinct phases of VF during global ischemia in the isolated blood-perfused pig heart. Am J Physiol Heart Circ Physiol 2007; 293(3): H1617–H1628, https://doi.org/10.1152/ajpheart.00130.2007.
  10. Kong W., Ideker R.E., Fast V.G. Intramural optical mapping of Vm and Cai2+ during long-duration ventricular fibrillation in canine hearts. Am J Physiol Heart Circ Physiol 2012; 302(6): H1294–H1305, https://doi.org/10.1152/ajpheart.00426.2011.
  11. Huang J., Dosdall D.J., Cheng K.A., Li L., Rogers J.M., Ideker R.E. The importance of Purkinje activation in long duration ventricular fibrillation. J Am Heart Assoc 2014; 3(1): e000495, https://doi.org/10.1161/jaha.113.000495.
  12. Guryanov M.I. Dominant and non-dominant structure of ventricular fibrillation in canine heart. Bull Exp Biol Med 2016; 160(3): 291–294, https://doi.org/10.1007/s10517-016-3153-4.
  13. Gurianov M.I. Organized structure of ventricular fibrillation in canine heart. Rossiiskii fiziologicheskii zhurnal im. I.M. Sechenova 2016; 102(3): 297–306.
  14. Guryanov M.I. Organized frequency structure of electrocardiogram during long-duration ventricular fibrillation under experimental conditions. Sovremennye tehnologii v medicine 2016; 8(3): 37–48, https://doi.org/10.17691/stm2016.8.3.04.
  15. Zaitsev A.V., Guha P.K., Sarmast F., Kolli A., Berenfeld O., Pertsov A.M., de Groot J.R., Coronel R., Jalife J. Wavebreak formation during ventricular fibrillation in the isolated, regionally ischemic pig heart. Circ Res 2003; 92(5): 546–553, https://doi.org/10.1161/01.res.0000061917.23107.f7.
  16. Koller M.L., Riccio M.L., Gilmour R.F. Jr. Dynamic restitution of action potential duration during electrical alternans and ventricular fibrillation. Am J Physiol
  17. 1998; 275(5): H1635–H1642, https://doi.org/10.1152/ajpheart.1998.275.5.h1635.
  18. Wilkoff B.L., Williamson B.D., Stern R.S., Moore S.L., Lu F., Lee S.W., Birgersdotter-Green U.M., Wathen M.S., Van Gelder I.C., Heubner B.M., Brown M.L., Holloman K.K.; PREPARE Study Investigators. Strategic programming of detection and therapy parameters in implantable cardioverter-defibrillators reduces shocks in primary prevention patients: results from the PREPARE (Primary Prevention Parameters Evaluation) study. J Am Coll Cardiol 2008; 52(7): 541–550, https://doi.org/10.1016/j.jacc.2008.05.011.
  19. Olde Nordkamp L.R.A., Postema P.G., Knops R.E., van Dijk N., Limpens J., Wilde A.A., de Groot J.R. Implantable cardioverter-defibrillator harm in young patients with inherited arrhythmia syndromes: a systematic review and meta-analysis of inappropriate shocks and complications. Heart Rhythm 2016; 13(2): 443–454, https://doi.org/10.1016/j.hrthm.2015.09.010.
  20. Thøgersen M.A., Larsen J.M., Johansen J.B., Abedin M., Swerdlow C.D. Failure to treat life-threatening ventricular tachyarrhythmias in contemporary implantable cardioverter-defibrillators: implications for strategic programming. Circ Arrhythm Electrophysiol 2017; 10(9): e005305, https://doi.org/10.1161/circep.117.005305.
  21. Watanabe E., Okajima K., Shimane A., Ozawa T., Manaka T., Morishima I., Asai T., Takagi M., Honda T., Kasai A., Fujii E., Yamashiro K., Kohno R., Abe H., Noda T., Kurita T., Watanabe S., Ohmori H., Nitta T., Aizawa Y., Kiyono K., Okumura K. Inappropriate implantable cardioverter defibrillator shocks — incidence, effect, and implications for driver licensing. J Interv Card Electrophysiol 2017; 49(3): 271–280, https://doi.org/10.1007/s10840-017-0272-4.
  22. Gebhard M.-M., Bretschneider H.J., Schnabel P.A. Cardioplegia principles and problems. In: Physiology and pathophysiology of the heart. Springer Science+Business Media; 1989; p. 655–668.
  23. Langendorff O. Untersuchungen am überlebenden Säugethierherzen. Pflügers Arch 1895; 61: 291–332, https://doi.org/10.1007/BF01812150.
  24. Janse M.J. The effect of changes in heart rate on the refractory period of the heart. PhD Thesis. Amsterdam: Mondeel-Offsetdrukkerij; 1971.
  25. The R Project for Statistical Computing. URL: https://www.r-project.org/.
  26. Khromov-Borisov N.N. Free biostatistical software. Travmatologiya i ortopediya Rossii 2015; 4(78): 154–159.
  27. Kobzar’ A.I. Prikladnaya matematicheskaya statistika. Dlya inzhenerov i nauchnykh rabotnikov [Applied mathematical statistics. For engineers and scientists]. Moscow: Fizmatlit; 2006.
  28. Stanley W.C., Recchia F.A., Lopaschuk G.D. Myocardial substrate metabolism in the normal and failing heart. Physiol Rev 2005; 85(3): 1093–1129, https://doi.org/10.1152/physrev.00006.2004.
  29. Ivanov G.G., Vostrikov V.А. Ventricular fibrillation and ventricular tachycardia — base position and diagnostic criteria. Vestnik Rossiyskogo universiteta druzhby narodov. Seriya: Meditsina 2007; 4: 44–54.
  30. Noujaim S.F., Berenfeld O., Kalifa J., Cerrone M., Nanthakumar K., Atienza F., Moreno J., Mironov S., Jalife J. Universal scaling law of electrical turbulence in the mammalian heart. Proc Natl Acad Sci U S A 2007; 104(52): 20985–20989, https://doi.org/10.1073/pnas.0709758104.
  31. Venable P.W., Taylor T.G., Shibayama J., Warren M., Zaitsev A.V. Complex structure of electrophysiological gradients emerging during long-duration ventricular fibrillation in the canine heart. Am J Physiol Heart Circ Physiol 2010; 299(5): H1405–H1418, https://doi.org/10.1152/ajpheart.00419.2010.
  32. Barr R.C. The electrocardiogram and its relationship to excitation of the heart. In: Physiology and pathophysiology of the heart. Springer Science+Business Media; 1989; p. 175–193.
  33. Гурьянов М.И. Способ диагностики фибрилляции желудочков сердца. Патент РФ 2704783. 2019.
Guryanov M.I., Pusev R.S., Guryanova N.M., Kharitonova E.A., Yablonsky P.K. Organized Structure of Ventricular Fibrillation during Prolonged Heart Perfusion in Dogs. Sovremennye tehnologii v medicine 2020; 12(3): 26, https://doi.org/10.17691/stm2020.12.3.03


Journal in Databases

pubmed_logo.jpg

web_of_science.jpg

scopus.jpg

crossref.jpg

doaj.jpg

ebsco.jpg

embase.jpg

ulrich.jpg

cyberleninka.jpg

e-library.jpg

lan.jpg

ajd.jpg

vak.jpg