Saratov JOURNAL of Medical and Scientific Research

Features of autonomic circulatory regulation in newborns during early neonatal adaptation

Year: 2024, volume 20 Issue: №4 Pages: 444-449
Heading: Pediatrics Article type: Original article
Authors: Mureeva E.N.
Organization: Saratov State Medical University
Summary:

Objective: to compare the features of autonomic regulation of blood circulation in newborns of different gestational ages on the basis of heart rate variability (HRV) and photoplethysmographic waveform (PPWF). Material and methods. Fifty neonates were included in the study: group 1 (n=20; gestational age 37-42 weeks) — with physiological course of early neonatal adaptation period; group 2 (n=30; 34-42 weeks) with pathological course of early neonatal adaptation period: 2a (n=15; 37-42 weeks) — infants with birth weight >2500, and 2b (n=15; 34-36.6 weeks) — infants with birth weight <2500 g. All infants underwent synchronous recording of electrocardiography, pho-toplethysmography, and respiration signals using a Reacor-T multichannel biological signal recorder. Spectral analysis of HRV and PPWF was performed, and the strength of synchronization between low-frequency oscillations in HRV and PPWF (S-index) was assessed. Results. Infants in subgroup 2b had higher values of HR (p=0.004) and two HRV indices in the time domain: RMSSD — 26.6 (p=0.005) and PNN50 — 7.65 (p=0.002), relative to infants in the other groups. S-index was low in all infants (14.4-18.5). Conclusion. Newborns are characterized by functional immaturity of sympathetic autonomic regulation of blood circulation and predominance of sympathetic and baroreflex influences on cardiac function. In the regulation of peripheral blood flow in newborns of group 1, respiratory influences over sympathetic influences prevail, and in infants of group 2 — sympathetic influences.

Bibliography:
1. Baevsky РМ, Berseneva АР. Introduction to prenoso-logic diagnostics. Moscow: Slovo, 2008; 220 p.
2. Pikhtina LA, Filina ОМ, Gadzhimuradova ND, et al. Risk factors and prediction of health disorders in children of the first year of life born from singleton pregnancies after in vitro fertilization. Health Risk Analysis. 2017; 1: 56-65.
3. Shlyk Nl. Heart rate and type of regulation in children, adolescents and athletes. Izhevsk: Udmurt University, 2009; 255 p.
4. Allen J, Di Maria С, Mizeva I, et al. Finger microvascular responses to deep inspiratory gasp assessed and quantified using wavelet analysis. Physiological Measurement. 2013; 34 (7): 769-79. DOI: 10.1088/0967-3334/34/7/769
5. 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. Circulation. 1996; 93: 1043-65. DOI: 10.1161/01.CIR.93.5.1043
6. Dimitrijevic L, Bjelakovic B, Colovic H, et al. Assessment of general movements and heart rate variability in prediction of neurodevelopmental outcome in preterm infants. Early Hum Dev. 2016; 99: 7-12. DOI: 10.1016/j.earlhumdev.2016.05.014
7. Solovyova GA. Description of the state of the autonomic regulation on results the analysis of heart rate variability in premature infants with perinatal disorders of the central nervous system. Ros vestn perinatol i pediatr. 2012; 57 (2): 10-3.
8. Nikolaeva TN, Dashichev VV. Inirial status and dynamics of cardiac rnythm indices in premature newborns in early posmatal adaptarion period. Bulletin of the Ivanovo Medical Academy. 2011; 16 (3): 27-31.
9. Garcia AJ 3rd, Koschnitzky JE, Dashevskiy T, Ramirez JM. Cardiorespiratory coupling in health and disease. Au-ton Neurosci. 2013; 175 (1-2): 26-37. DOI: 10.1016/j.autneu. 2013.02.006
10. Pease AS, Fleming PJ, Hauck FR, et al. Swaddling and the Risk of Sudden Infant Death Syndrome: A Meta-analysis. Pediatrics. 2016; 137 (6): e20153275. DOI: 10.1542/peds.2015-3275
11. Korableva NN. Sudden infant death syndrome: Definition evolution, epidemiology and risk factors. Current Pediatrics. 2021; 20 (3): 201-9.
12. Karavaev AS, Prokhorov MD, Ponomarenko VI, et al. Synchronization of low-frequency oscillations in the human cardiovascular system. Chaos. 2009; 19: 033112. DOI: 10.1063/1.3187794
13. Kiselev AR, Karavaev AS, Gridnev VI, et al. Method of estimation of synchronization strength between low-frequency oscillations in heart rate variability and photoplethysmographic waveform variability. Russ Open Med J. 2016; 5(1): e0101. DOI: 10.15275/rusomj.2016.0101
14. Makarov LM. Sport and sudden death in children. Ros vestn perinatol i pediatr 2017; 62: (1): 40-6. DOI: 10.2 1508/1027-4065-2017-62-1 -40-46
15. NalobinaAN. Methodology of assessment of adaptation processes in children of the first year of life. Scientific notes of P. F. Lesgaft University. 2013; (3): 144-50.
16. Kiselev AR, Karavaev AS, Gridnev VI, et al. Method for assessing the degree of synchronization of low-frequency oscillations in heart rate variability and photoplethysmogram. Cardio-IT 2016; 3 (1); 1-5. DOI: 10.15275/cardioit.2016.0101
17. Haskova К, Czippelova В, Javorka М, et al. Baroreflex sensitivity in premature infants — relation to the parameters characterizing intrauterine and postnatal condition. Physiol Res. 2017;66(Suppl2):S257-64.
18. Latremouille S, Lam J, Shalish W, Sant'Anna G. Neonatal heart rate variability: A contemporary scoping review of analysis methods and clinical applications. BMJ Open. 2021; 11 (12): e055209. DOI: 10.1136/bmjopen-2021-055209
19. Chatow U, Davidson S, Reichman BL, Akselrod S. Development and maturation of the autonomic nervous system in premature and full-term infants using spectral analysis of heart rate fluctuations. Pediatr Res. 1995; 37 (3): 294-302. DOI: 10.12 03/00006450-199503000-00008
20. Mazursky JE, Birkett CL, Bedell KA, et al. Development of baroreflex influences on heart rate variability in preterm infants. Early Hum Dev. 1998; 53 (1): 37-52. DOI: 10.1016/s0378-3782(98)00038-3

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