Online first
Original article
Published online: 2024-11-25

open access

Page views 68
Article views/downloads 49
Get Citation

Connect on Social Media

Connect on Social Media

Application of machine learning in predicting postoperative arrhythmia following transcatheter closure of perimembranous ventricular septal defects

Lintao Yan1, Yuan Meng2, Hongjie Sun, Xinlei Liu, Bo Han12

Abstract

Not available

Article available in PDF format

View PDF Download PDF file

References

  1. Penny DJ, Vick GW. Ventricular septal defect. Lancet. 2011; 377(9771): 1103–1112.
  2. Jiang D, Zhang S, Zhang Y, et al. Predictors and long-term outcomes of heart block after transcatheter device closure of perimembranous ventricular septal defect. Front Cardiovasc Med. 2022; 9: 1041852.
  3. Weryński P, Skorek P, Wójcik A, et al. Recent achievements in transcatheter closure of ventricular septal defects: a systematic review of literature and a meta-analysis. Kardiol Pol. 2021; 79(2): 161–169.
  4. Saurav A, Kaushik M, Mahesh Alla V, et al. Comparison of percutaneous device closure versus surgical closure of peri-membranous ventricular septal defects: A systematic review and meta-analysis. Catheter Cardiovasc Interv. 2015; 86(6): 1048–1056.
  5. Merkin A, Krishnamurthi R, Medvedev ON. Machine learning, artificial intelligence and the prediction of dementia. Curr Opin Psychiatry. 2022; 35(2): 123–129.
  6. de Jong G, Aquarius R, Sanaan B, et al. Prediction models in aneurysmal subarachnoid hemorrhage: Forecasting clinical outcome with artificial intelligence. Neurosurgery. 2021; 88(5): E427–E434.
  7. Chen Y, Zheng Y, Lip GYH. Leveraging machine learning for enhanced mortality risk prediction in atrial fibrillation: A step towards precision medicine? Pol Heart J. 2024; 82(10): 921–923.
  8. Kim Y, Margonis GA, Prescott JD, et al. Nomograms to predict recurrence-free and overall survival after curative resection of adrenocortical carcinoma. JAMA Surg. 2016; 151(4): 365–373.
  9. Holzer R, de Giovanni Jo, Walsh KP, et al. Transcatheter closure of perimembranous ventricular septal defects using the Amplatzer membranous VSD occluder: Immediate and midterm results of an international registry. Catheter Cardiovasc Interv. 2006; 68(4): 620–628.
  10. Bergmann M, Germann CP, Nordmeyer J, et al. Short- and long-term outcome after interventional VSD closure: A single-center experience in pediatric and adult patients. Pediatr Cardiol. 2021; 42(1): 78–88.
  11. Xian SJ, Wei G, Ai ZQ, et al. Risk factors for arrhythmia early after transcatheter closure of perimembranous ventricular septal defects. Chin J Pediatr. 2005; 43(10): 767–771.
  12. Wang L, Cao S, Li J, et al. Transcatheter closure of congenital perimembranous ventricular septal defect in children using symmetric occluders: An 8-year multiinstitutional experience. Ann Thorac Surg. 2012; 94(2): 592–598.
  13. Zuo J, Xie J, Yi W, et al. Results of transcatheter closure of perimembranous ventricular septal defect. Am J Cardiol. 2010; 106(7): 1034–1037.
  14. Zhao LJ, Han Bo, Zhang JJ, et al. Postprocedural outcomes and risk factors for arrhythmias following transcatheter closure of congenital perimembranous ventricular septal defect: A single-center retrospective study. Chin Med J (Engl). 2017; 130(5): 516–521.
  15. Wu Z, Yang P, Xiang P, et al. Left anterior fascicular block after transcatheter closure of ventricular septal defect in children. Front Cardiovasc Med. 2021; 8: 609531.
  16. Lei YQ, Lin WH, Lin SH, et al. Influence of percutaneous catheter intervention for congenital perimembranous ventricular septal defects in children on the cardiac conduction system and associated risk factors: a meta-analysis. J Cardiothorac Surg. 2022; 17(1): 19.
  17. Tang C, Shao S, Zhou K, et al. Complete left bundle-branch block after transcatheter closure of perimembranous ventricular septal defect using Amplatzer duct occluder II. J Am Heart Assoc. 2022; 11(7): e022651.
  18. Li Y, Hua Y, Fang J, et al. Identification of risk factors for arrhythmia post transcatheter closure of perimembranous ventricular septal defect. J Invasive Cardiol. 2015; 27(8): E158–E166.
  19. Chen T, Guestrin C. XGBoost: A scalable tree boosting system. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2016: 785–794.
  20. Cherkassky V, Ma Y. Another look at statistical learning theory and regularization. Neural Netw. 2009; 22(7): 958–969.
  21. Cortes C, Vapnik V. Support-vector networks. Machine Learning. 1995; 20(3): 273–297.
  22. Breiman L. Random forests. Machine Learning. 2001; 45(1): 5–32.
  23. Alba AC, Agoritsas T, Walsh M, et al. Discrimination and calibration of clinical prediction models: Users' guides to the medical literature. JAMA. 2017; 318(14): 1377–1384.
  24. Yang R, Kong XQ, Sheng YH, et al. Risk factors and outcomes of post-procedure heart blocks after transcatheter device closure of perimembranous ventricular septal defect. JACC Cardiovasc Interv. 2012; 5(4): 422–427.
  25. Tanghöj G, Liuba P, Sjöberg G, et al. Risk factors for adverse events within one year after atrial septal closure in children: A retrospective follow-up study. Cardiol Young. 2020; 30(3): 303–312.
  26. Kramer H, Körfer R. Early postoperative arrhythmias after cardiac operation in patients with congenital heart disease. Pediatr Cardiol. 2005; 26(1): 10–15.
  27. Kovach JR, Brown ML. Postoperative arrhythmias after congenital heart surgery. J Thorac Dis. 2013; 5(S6): S526–S533.
  28. El-Said HG. Transcatheter closure of congenital ventricular septal defects. Cath Cardiovasc Interv. 2003; 60(1): 107–113.
  29. Terada R, Warren S, Lu JT, et al. Ablation of Nkx2-5 at mid-embryonic stage results in premature lethality and cardiac malformation. Cardiovasc Res. 2011; 91(2): 289–299.
  30. Gatzoulis MA, Balaji S, Webber SA, et al. Risk factors for arrhythmia and sudden cardiac death late after repair of tetralogy of Fallot: A multicentre study. Lancet. 2000; 356(9234): 975–981.