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Original Research

Open Access

Heart rate variability analysis in acute poisoning by cholinesterase inhibitors

  • YONGIN KIM1
  • JINWOO JEONG2

1Department of Emergency Medicine, Pusan National University Yangsan Hospital

2 Department of Emergency Medicine, College of Medicine, Dong-A University

DOI: 10.22514/SV132.112017.5 Vol.13,Issue 2,November 2017 pp.33-40

Published: 06 November 2017

*Corresponding Author(s): JINWOO JEONG E-mail: advanced@lifesupport.pe.kr

Abstract

Heart rate variability (HRV) has been asso-ciated with a variety of clinical situations. However, few studies have examined the association between HRV and acute poi-soning. Organophosphate (OP) and car-bamate inhibit esterase enzymes, particu-larly acetylcholinesterase, resulting in an accumulation of acetylcholine and thereby promoting excessive activation of corre-sponding receptors. Because diagnosis and treatment of OP and carbamate poisoning greatly depend on the severity of choliner-gic symptoms, and because HRV reflects autonomic status, some HRV parameters may be of value in diagnosing OP and car-bamate poisoning among patients visiting the emergency department.

Patients who visited the emergency de-partment of the study hospital between September 2008 and May 2010 with the chief complaint of acute poisoning or over-dose were included. Cases that involved ingestion of OP or carbamate insecticides were classified as poisoning by cholinest-erase inhibitors and compared with other cases of poisoning or overdose. The time-domain analysis included descriptive sta-tistics of R-R intervals and instantaneous heart rates. The frequency-domain analy-sis used fast Fourier transformation. A Poincaré plot, which is a scatterplot of R-R intervals against the preceding R-R inter-val, was used for the nonlinear analysis. Very-low-frequency (VLF) power and the ratio of low-frequency-to-high-frequency power (LF/HF) were the most effective pa-rameters for distinguishing cholinesterase inhibitor poisoning among cases of acute poisoning, with areas under the receiver-operating characteristic curve of 0.76 and 0.87, respectively. Cholinesterase inhibitor poisoning was a significant factor deter-mining VLF power and the LF/HF ratio after adjusting for possible confounding variables, including age over 40, gender, and tracheal intubation.

Frequency-domain parameters of HRV, such as VLF power and the LF/HF ratio, might be considered as potential diagnos-tic methods to distinguish cholinesterase inhibitor poisoning from other cases of in-toxication in the early stages of emergency care.

Keywords

electrocardiography, organo-phosphates, carbamates, poisoning

Cite and Share

YONGIN KIM,JINWOO JEONG. Heart rate variability analysis in acute poisoning by cholinesterase inhibitors. Signa Vitae. 2017. 13(2);33-40.

References

1. Kleiger RE, Stein PK, Bigger JT, Jr. Heart rate variability: measurement and clinical utility. Ann Noninvasive Electrocardiol 2005;10(1):88-101.

2. Ong ME, Padmanabhan P, Chan YH, Lin Z, Overton J, Ward KR, et al. An observational, prospective study exploring the use of heart rate variability as a predictor of clinical outcomes in pre-hospital ambulance patients. Resuscitation 2008;78(3):289-97.

3. Proctor KG, Atapattu SA, Duncan RC. Heart rate variability index in trauma patients. J Trauma 2007;63(1):33-43.

4. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Heart rate vari-ability: 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. Circulation 1996;93(5):1043-65.

5. Dinleyici EC, Kilic Z, Sahin S, Tutuncu-Toker R, Eren M, Yargic ZA, et al. Heart rate variability in children with tricyclic antidepres-sant intoxication. Cardiol Res Pract 2013;2013:196506.

6. Waring WS, Rhee JY, Bateman DN, Leggett GE, Jamie H. Impaired heart rate variability and altered cardiac sympathovagal balance after antidepressant overdose. Eur J Clin Pharmacol 2008;64(11):1037-41.

7. Bolea J, Pueyo E, Laguna P, Bailon R. Non-linear HRV indices under autonomic nervous system blockade. Conf Proc IEEE Eng Med Biol Soc 2014;2014:3252-5.

8. Brennan M, Palaniswami M, Kamen P. Poincare plot interpretation using a physiological model of HRV based on a network of oscil-lators. Am J Physiol Heart Circ Physiol 2002;283(5):H1873-86.

9. Eddleston M, Buckley NA, Eyer P, Dawson AH. Management of acute organophosphorus pesticide poisoning. Lancet 2008;371(9612):597-607.

10. Rosman Y, Makarovsky I, Bentur Y, Shrot S, Dushnistky T, Krivoy A. Carbamate poisoning: treatment recommendations in the set-ting of a mass casualties event. Am J Emerg Med 2009;27(9):1117-24.

11. Iyer R, Iken B, Leon A. Developments in alternative treatments for organophosphate poisoning. Toxicol Lett 2015;233(2):200-6.

12. Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, et al. PhysioBank, PhysioToolkit, and PhysioNet: compo-nents of a new research resource for complex physiologic signals. Circulation 2000;101(23):E215-20.

13. Malliani A. Heart rate variability: from bench to bedside. Eur J Intern Med 2005;16(1):12-20.

14. Cicero MX, Walsh B, Solad Y, Whitfill T, Paesano G, Kim K, et al. Do you see what I see? Insights from using google glass for disaster telemedicine triage. Prehosp Disaster Med 2015;30(1):4-8.

15. Park SH, Goo JM, Jo CH. Receiver operating characteristic (ROC) curve: practical review for radiologists. Korean J Radiol 2004;5(1):11-8.

16. Niskanen JP, Tarvainen MP, Ranta-Aho PO, Karjalainen PA. Software for advanced HRV analysis. Comput Methods Programs Bi-omed 2004;76(1):73-81.

17. Huikuri HV, Makikallio T, Airaksinen KE, Mitrani R, Castellanos A, Myerburg RJ. Measurement of heart rate variability: a clinical tool or a research toy? J Am Coll Cardiol 1999;34(7):1878-83.

18. Khandoker AH, Jelinek HF, Palaniswami M. Heart rate variability and complexity in people with diabetes associated cardiac auto-nomic neuropathy. Conf Proc IEEE Eng Med Biol Soc 2008;2008:4696-9.

19. King DR, Ogilvie MP, Pereira BM, Chang Y, Manning RJ, Conner JA, et al. Heart rate variability as a triage tool in patients with trauma during prehospital helicopter transport. J Trauma 2009;67(3):436-40.

20. Liu T, Lin Z, Ong ME, Koh ZX, Pek PP, Yeo YK, et al. Manifold ranking based scoring system with its application to cardiac arrest prediction: A retrospective study in emergency department patients. Comput Biol Med 2015;67:74-82.

21. Suzuki A, Yoshioka K, Ito S, Naito Y. Assessment of stress and autonomic nervous activity in Japanese female ambulance paramedics working 24-hour shifts. J Occup Health 2016;58:47-55.

22. Rosenbaum C, Bird SB. Non-muscarinic therapeutic targets for acute organophosphorus poisoning. J Med Toxicol 2010;6(4):408-12.

23. Esperer HD, Oehler M. Automatic quantification of the Poincare plot asymmetry of NN-interval recordings. Physiol Meas 2010;31(3):395-413.

24. Mohebbi M, Ghassemian H. Prediction of paroxysmal atrial fibrillation based on non-linear analysis and spectrum and bispectrum features of the heart rate variability signal. Comput Methods Programs Biomed. 2012;105(1):40-9.

25. Montano N, Porta A, Cogliati C, Costantino G, Tobaldini E, Casali KR, et al. Heart rate variability explored in the frequency domain: a tool to investigate the link between heart and behavior. Neurosci Biobehav Rev 2009;33(2):71-80.

26. Bigger JT, Jr., Fleiss JL, Steinman RC, Rolnitzky LM, Schneider WJ, Stein PK. RR variability in healthy, middle-aged persons com-pared with patients with chronic coronary heart disease or recent acute myocardial infarction. Circulation 1995;91(7):1936-43.

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