Cardiological Support in Neonatal Surgery: Modern Approaches to The Correction of Congenital Heart Anomalies

Authors

  • Asiyat Magomedovna Abdurakhmanova
  • Malikhat Abakaraskhabovna Kasumova
  • Patimat Abdurakhmanovna Muhuchaeva
  • Arina Shakhmuradovna Mamerzaeva
  • Anzhelika Khasaevna Yunusova
  • Mariya Robertovna Dorosheva
  • Elizaveta Denisovna Sazhina

DOI:

https://doi.org/10.52783/jns.v14.2366

Keywords:

congenital heart defects, neonatal surgery, cardiological support, prenatal diagnosis, catheter technologies, extracorporeal membrane oxygenation, multidisciplinary approach

Abstract

The article reviews modern approaches to cardiological support in surgical treatment of congenital heart disease in newborns. Special attention is paid to the integration of neonatal cardiology and surgery to improve the efficiency of diagnosis, preparation for surgery and postoperative management of patients. Advanced prenatal diagnostic techniques, such as three- and four-dimensional echocardiographic studies, are discussed, as well as the role of multimodal technology in assessing the severity of anomalies and planning surgical intervention.

The article analyses the use of minimally invasive techniques for defect correction, including catheter-based technologies and stenting, which can reduce the risk of complications and improve prognosis in newborns with critical heart defects. The importance of a multidisciplinary approach is emphasised, where cardiologists, surgeons, anaesthesiologists and neonatologists work together to ensure optimal management of the patient's condition at all stages of treatment.

In addition, data are presented on the role of supportive therapies, including extracorporeal membrane oxygenation (ECMO) and other life support methods, which are becoming an integral part of treatment protocols for complex congenital heart anomalies. The prospects for the development of genetic diagnostics and personalised medicine in the context of prevention and correction of neonatal heart defects are considered.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

References

Li X, Sui J, Wang Y. Three-Dimensional Reconstruction of Fuzzy Medical Images Using Quantum Algorithm. IEEE Access. 2020;8:218279–88.

Kinjal D, Rabinowitz EJ, Epstein S. Physiologic diagnosis of congenital heart disease in cyanotic neonates. Curr Opin Pediatr. 2019;31(2):274–83.

Rima A, Curran L, Zhao Y, Levine JC, Chinn E, Moon-Grady AJ. An ensemble of neural networks provides expert-level prenatal detection of complex congenital heart disease. Nat Med. 2021;27(5):882–91.

Khoshnood B, De Vigan C, Vodovar V, Joujard J, Lhomme A, Bonnet D, Goffinet F. Trends in prenatal diagnosis, pregnancy termination, and perinatal mortality of newborns with congenital heart disease in France, 1983–2000: a population-based evaluation. Pediatrics. 2005;115:95–101.

Moons P, Bovijn L, Budts W, Belmans A, Gewillig M. Temporal trends in survival to adulthood among patients born with congenital heart disease from 1970 to 1992 in Belgium. Circulation. 2010;122:2264–2272.

Tennant PW, Pearce MS, Bythell M, Rankin J. 20-year survival of children born with congenital anomalies: a population-based study. Lancet. 2010;375:649–656.

Letourneau Karen M., Horne D, Soni RN, McDonald Keith R., Fransoo RR. Advancing Prenatal Detection of Congenital Heart Disease: A Novel Screening Protocol Improves Early Diagnosis of Complex Congenital Heart Disease. J Ultrasound Med. 2018;37(5):1073–9.

George M, Shum K, Gupta T, Chakravorty S, Kachur S, Bienvenu L, et al. Echocardiography in congenital heart disease. Prog Cardiovasc Dis. 2018;61(5–6):468–75.

Di Salvo Giovanni, Miller Owen, Narayan Sonya Babu, Lei Wei, Budts Werner, Valsangiacomo Buechel Emanuela R, et al. Imaging the adult with congenital heart disease: a multimodality imaging approach—position paper from the EACVI. Eur Heart J Cardiovasc Imaging. 2018;19(10):1077–98.

Chinh ND, Ha LM, Sun G, Anh LQ. Short time cardio-vascular pulses estimation for dengue fever screening via continuous-wave Doppler radar using empirical mode decomposition and continuous wavelet transform. Biomed Signal Process Control. 2021;65:102361.

Hagemo PS, Skarbø A-B, Rasmussen M, Fredriksen PM, Schage S. An extensive long term follow-up of a cohort of patients with hypolasia of the left heart. Cardiol Young. 2007;17:51–5.

Brida M, Gatzoulis MA. Adult congenital heart disease: past, present and future. Acta Paediatr. 2019;108(10):1757–64.

Mone Fionnuala, Eberhardt R. Y., Morris R. K., Hurles M. E., McMullan D. J., Maher E. R., et al. COngenital heart disease and the Diagnostic yield with Exome sequencing (CODE) study: prospective cohort study and systematic review. Ultrasound Obstet Gynecol. 2021;57(1):43–51.

Vladimirovna SV, Vladimirovna ME, Singh S, Bugalia A. Pregnancy with congenital heart disease. Science and innovation. 2023;2(D4):127–36.

Vaidya Anand, Flores Shahida K., Cheng Zi-Ming, Nicolas Marlo, Dahia Patricia L.M. EPAS1 mutations and paragangliomas in cyanotic congenital heart disease. N Engl J Med. 2018;378(13):1259–61.

Ahmed MR, Ashrafi AF, Ahmed RU, et al. DoubleU-NetPlus: a novel attention and context-guided dual U-Net with multi-scale residual feature fusion network for semantic segmentation of medical images. Neural Comput & Applic. 2023;35:14379–401.

Lambert James, Mariana Lamacie, Babitha Thampinathan, Mustafa A Altaha, Maryam Esmaeilzadeh, Mark Nolan, et al. Variability in echocardiography and MRI for detection of cancer therapy cardiotoxicity. Heart. 2020;106(11):817–23.

Jacobs JP, Mavroudis C, Quintessenza JA, Chai PJ, Pasquali SK, Hill KD, Vricella LA, Jacobs ML, Dearani JA, Cameron D. Semin Thorac Cardiovasc Pediatr Card Surg Ann. 2014;17:2–8.

Kang N, Tsang VT, Elliott MJ, de Leval MR, Cole TJ. Does the Aristotle Score predict outcome in congenital heart surgery? Eur J Cardiothorac Surg. 2006;29:986–988.

Jacobs ML, O’Brien SM, Jacobs JP, Mavroudis C, Lacour-Gayet F, Pasquali SK, Welke K, Pizarro C, Tsai F, Clarke DR. An empirically based tool for analyzing morbidity associated with operations for congenital heart disease. J Thorac Cardiovasc Surg. 2013;145:1046–1057.e1.

Yang B, Liu M, Wang Y, Zhang K, Meijering E. Structure-Guided Segmentation for 3D Neuron Reconstruction. IEEE Trans Med Imaging. 2022;41(4):903–14.

Lytzen R, Potiny P, Rigdon J, Morello M, Tcheandjieu C, Romfh A, et al. Live-born major congenital heart disease in Denmark: incidence, detection rate, and termination of pregnancy rate from 1996 to 2013. JAMA Cardiol. 2018;3(9):829–37.

Chandramohan Dhasarathan, Shanmugam M, Manish Kumar, Diwakar Tripathi, Shailesh Khapre, Achyut Shankar. A nomadic multi-agent based privacy metrics for e-health care: a deep learning approach. Multim Tools Appl. 2024;83(3):7249–72.

Lang Roberto M, Addetia Karima, Narang Akhil, Mor-Avi Victor. 3-Dimensional echocardiography: latest developments and future directions. JACC Cardiovasc Imaging. 2018;11(12):1854–78.

Downloads

Published

2025-03-20

How to Cite

1.
Magomedovna Abdurakhmanova A, Abakaraskhabovna Kasumova M, Abdurakhmanovna Muhuchaeva P, Shakhmuradovna Mamerzaeva A, Khasaevna Yunusova A, Robertovna Dorosheva M, Denisovna Sazhina E. Cardiological Support in Neonatal Surgery: Modern Approaches to The Correction of Congenital Heart Anomalies. J Neonatal Surg [Internet]. 2025Mar.20 [cited 2025Oct.10];14(7S):38-45. Available from: https://www.jneonatalsurg.com/index.php/jns/article/view/2366

Similar Articles

You may also start an advanced similarity search for this article.