Preview

Health care of Tajikistan

Advanced search

Spectral and fractal analysis of cardiointerval variation in determining the functional state of the autonomic nervous system in postpartum women with multiple organisystem dysfunction failure syndrome

https://doi.org/10.52888/0514-2515-2025-364-1-41-50

Abstract

Aim. To examine the functional state of the autonomic nervous system (ANS) in postpartum women with multiple organ/system dysfunction/failure syndrome, depending on the dominant organ damage using non-invasive monitoring of cardiointerval variation.

Material and methods. The study included 100 postpartum women with multiple organ/system dysfunction/failure syndrome (MOSDFS). They were divided into four groups: Group 1 (40 patients) with predominant acute kidney injury; Group 2 (30 patients) with primary manifestations of acute liver failure; Group 3 (30 patients) with dominant acute respiratory distress syndrome; and the control group (30 healthy women of reproductive age). All patients had MOSDFS, with one dysfunction being predominant and the others at various stages and degrees of severity (80% with three affected organs and 20% with two organs). Dysfunction of the central nervous system (CNS) and its autonomic divisions were observed in all cases. An assessment of spectral and fractal analyses was conducted along with an evaluationof the degree of integration of systemic connections forming extracardiac regulation of heart rhythm by the CNS. Additionally, heart rate variability and the state of autonomic balance were also analyzed.

Results and discussion. Non-invasive RR-interval monitoring in the studied postpartum women revealed significant dysfunction of the CNS and ANS in a form of imbalances and various zones of functional states across all groups, regardless of the predominant organ damage and subsequent functional failure. These disruptions manifested.

Conclusion. Among five conditional zones of autonomic states (stable autonomic balance, adaptation, subcritical, critical, and supercritical), 45% of postpartum women were in the critical zone and 55% in the supercritical zone. This necessitates a personalized approach to diagnosis and treatment.

About the Authors

A. A. Muradov
SE «City Scientific Center of Reanimation and Detoxification»
Tajikistan

Muradov Amirsher Alisherovich – PhD, Deputy Director for Science

Dushanbe



A. M. Muradov
Department of Efferent Medicine and Intensive Care of the SEE «Institute of Postgraduate Education in Health Sphere of the Republic of Tajikistan»
Tajikistan

Dushanbe



A. V. Pyryegov
Moscow Regional Perinatal Center
Russian Federation

Moscow



T. Sh Ikromi
SEE «Avicenna Tajik State Medical University»
Tajikistan

Dushanbe



O. K. Muradova
SI Republican Scientific Center of Cardiovascular Surgery
Tajikistan


References

1. Vityazeva T. A., Mikheev A. A. Obzor metodov issledovaniya variabelnosti serdechnogo ritma [Methods for studying heart rate variability (review)]. Biomeditsinskaya radioelektronika - Journal Biomedical Radioelectronics, 2024, Vol. 27, No. 4, pp. 87–95. DOI: 10.18127/j15604136-202404-12.

2. Ismoilova M. Sh. Rol vegetativnoy nervnoy sistemy v patogeneze razvitiya preeklampsii beremennykh [The role of the autonomic nervous system in the pathogenesis of preeclampsia in pregnant women]. Meditsinskiy vestnik Natsionalnoy akademii nauk Tadzhikistana - Medical Bulletin of The National Academy of Sciences of Tajikistan, 2022, Vol. 12, No. 2 (42), pp. 73–82.

3. Ismoilova M. Sh., Muradov A. A., Shumilina O. V., Rakhimov N. G. Kharakteristika spektralnykh i fraktalnykh pokazateley R-R intervala u zdorovykh zhenshchin i pri fiziologicheskom techenii beremennosti [Characteristics of spectral and fractal indicators of the r-r interval in healthy women and during the physiological course of pregnancy]. Meditsinskiy vestnik Natsionalnoy akademii nauk Tadzhikistana - Medical Bulletin of The National Academy of Sciences of Tajikistan, 2021, Vol. 11, No. 4 (40), pp. 46–53.

4. Ismoilova M. Sh. Kharakteristika spektralnykh i fraktalnykh pokazateley R-R intervala u beremennykh s preeklampsiey [Characteristics of spectral and fractal indicators r-r interval in pregnant women with pre-eclampsia]. Vestnik poslediplomnogo obrazovaniya v sfere zdravookhraneniya - Herald of the Institute of Postgraduate Education in Health Sphere, 2021, No. 4, pp. 20–26.

5. Kiryachkov Yu. Yu. Disfunktsiya vegetativnoy nervnoy sistemy i eyo rol v patogeneze septicheskikh kriticheskikh sostoyaniy (obzor) [Dysfunction of the autonomic nervous system and its role in the pathogenesis of septic critical conditions (review)]. Sovremennye tekhnologii v meditsine - Modern Technologies in Medicine, 2021, Vol. 12, No. 4, pp. 106–116. DOI: 10.17691/stm2020.12.4.12.

6. Kuzmenko N. V., Pliss M. G., Tsyrlin V. A. Izmenenie vegetativnogo kontrolya serdechno-sosudistoy sistemy pri starenii cheloveka: metaanaliz [Changes in autonomic control of the cardiovascular system during human aging: a meta-analysis]. Uspekhi gerontologii - Advances in Gerontology, 2020, Vol. 33, No. 4, pp. 748–760. DOI: 10.34922/AE.2020.33.4.018.

7. Muradov A. M. Disbalans vegetativnoy nervnoy sistemy kak prediktor narusheniya funktsionalnogo sostoyaniya krovoobrashcheniya u beremennykh s preeklampsiey [Imbalance of the autonomic nervous system, as a predictor of functional circulatory disorders in pregnant women with preeclampsia]. Meditsinskiy vestnik Natsionalnoy akademii nauk Tadzhikistana - Medical Bulletin of The National Academy of Sciences of Tajikistan, 2022, Vol. 12, No. 4 (44), pp. 26–33.

8. Popova E. P. Znachenie vegetativnoy nervnoy sistemy v patogeneze fibrillyatsii predserdiy [Role of the autonomic nervous system in atrial fibrillation pathogenesis]. Rossiyskiy kardiologicheskiy zhurnal - Russian Journal of Cardiology, 2020, Vol. 25, No. 7, pp. 187–193. DOI: 10.15829/1560-4071-2020-3663.

9. Rakhimov N. G. Nekotorye pokazateli fraktalnogo analiza variabelnosti serdechnogo ritma, kak prediktory razvitiya tyazheloy preeklampsii i eklampsii [Some indices of fractal analysis of heart rate variability as predictors of development of severe preeclampsia and eclampsia]. Vestnik poslediplomnogo obrazovaniya v sfere zdravookhraneniya - Herald of the Institute of Postgraduate Education in Health Sphere, 2018, No. 1, pp. 70–75.

10. Spiryakina Ya. G. Arterialnaya gipertenziya u beremennykh: diagnostika i osobennosti terapii [Arterial hypertension in pregnant women: diagnostics and treatment features]. Meditsinskiy alfavit - Medical alphabet, 2024, No. 24, pp. 11–15. DOI: 10.33667/2078-5631-2024-24-11-15.

11. Aragón-Benedí C., Caballero-Lozada A. F., Perez-Calatayud A. A., et al. Prospective multicenter study of heart rate variability with ANI monitor as predictor of mortality in critically ill patients with COVID-19. Scientific Reports, 2022, Vol. 12, No. 1, pp. 21762. DOI: 10.1038/s41598-022-25537-z. PMID: 36526646; PMCID: PMC9756725.

12. Aragón-Benedí C., Oliver-Forniés P., Galluccio F., et al. Is the heart rate variability monitoring using the analgesia nociception index a predictor of illness severity and mortality in critically ill patients with COVID-19? A pilot study. PLoS One, 2021, Vol. 16, No. 3, pp. e0249128. DOI: 10.1371/journal.pone.0249128. PMID: 33760875; PMCID: PMC7990300.

13. Benarroch E. E. Physiology and Pathophysiology of the Autonomic Nervous System. Continuum, 2020, Vol. 26, No. 1, pp. 12–24. DOI: 10.1212/CON.0000000000000817. PMID: 31996619.

14. Cheshire W. P., Freeman R., Gibbons C. H., et al. Electrodiagnostic assessment of the autonomic nervous system: A consensus statement. Clinical Neurophysiology, 2021, Vol. 132, No. 2, pp. 666–682. DOI: 10.1016/j.clinph.2020.11.024. PMID: 33419664.

15. Damoun N., Amekran Y., Taiek N., Hangouche A. J. E. Heart rate variability measurement and influencing factors: Towards the standardization of methodology. Global Cardiology Science and Practice, 2024, No. 4, pp. e202435. DOI: 10.21542/gcsp.2024.35. PMID: 39351472; PMCID: PMC11439429.

16. Riabokon Y., Zadyraka D. Dynamics of the vegetative nervous system functional state in interaction with the changes in adrenocorticotropic and somatotropic hormones in patients with serous meningitis. Georgian Med News, 2019, No. 287, pp. 90–95. PMID: 30958296.

17. Tiwari R., Kumar R., Malik S., Raj T., Kumar P. Analysis of Heart Rate Variability and Implication of Different Factors on Heart Rate Variability. Current Cardiology Reviews, 2021, Vol. 17, No. 5, pp. e160721189770. DOI: 10.2174/1573403X16999201231203854. PMID: 33390146; PMCID: PMC8950456.

18. Williams D. P., Koenig J., Carnevali L., et al. Heart rate variability and inflammation: A meta-analysis of human studies. Brain, Behavior, and Immunity, 2019, Vol. 80, pp. 219–226. DOI: 10.1016/j.bbi.2019.03.009. PMID: 30872091.


Review

For citations:


Muradov A.A., Muradov A.M., Pyryegov A.V., Ikromi T.Sh., Muradova O.K. Spectral and fractal analysis of cardiointerval variation in determining the functional state of the autonomic nervous system in postpartum women with multiple organisystem dysfunction failure syndrome. Health care of Tajikistan. 2025;(1):41-50. (In Russ.) https://doi.org/10.52888/0514-2515-2025-364-1-41-50

Views: 274


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 0514-2415 (Print)