Machine Learning Prediction of Pericardial Tamponade After Atrial Fibrillation Ablation

Cardiac tamponade is a rare but serious complication of atrial fibrillation (AF) ablation. Previous studies have used logistic regression analysis to identify potential predictors of cardiac tamponade. 1 Bollmann A Ueberham L Schuler E Wiedemann M Reithmann C Sause A Tebbenjohanns J Schade A Shin DI Staudt A Zacharzowsky U Ulbrich M Wetzel U Neuser H Bode K Kuhlen R Hindricks G Cardiac tamponade in catheter ablation of atrial fibrillation: German-wide analysis of 21 141 procedures in the Helios atrial fibrillation ablation registry (SAFER). Europace. 2018; 20: 1944-1951 Crossref PubMed Scopus (63) Google Scholar , 2 Friedman DJ Pokorney SD Ghanem A Marcello S Kalsekar I Yadalam S Akar JG Freeman JV Goldstein L Khanna R Piccini JP Predictors of cardiac perforation with catheter ablation of atrial fibrillation. JACC Clin Electrophysiol. 2020; 6: 636-645 Crossref PubMed Scopus (35) Google Scholar , 3 Padala SK Gunda S Sharma PS Kang L Koneru JN Ellenbogen KA Risk model for predicting complications in patients undergoing atrial fibrillation ablation. Heart Rhythm. 2017; 14: 1336-1343 Abstract Full Text Full Text PDF PubMed Scopus (22) Google Scholar , 4 Yang E Ipek EG Balouch M Mints Y Chrispin J Marine JE Berger RD Ashikaga H Rickard J Calkins H Nazarian S Spragg DD. Factors impacting complication rates for catheter ablation of atrial fibrillation from 2003 to 2015. Europace. 2017; 19: 241-249 Crossref PubMed Google Scholar , 5 Murakawa Y Yamane T Goya M Inoue K Naito S Kumagai K Miyauchi Y Morita N Nogami A Shoda M Okumura K Hirao K Japanese Heart Rhythm Society MembersIncidence and predictors of pericardial effusion as an early complication of catheter ablation for atrial fibrillation: the Japanese Catheter Ablation Registry of Atrial Fibrillation (J-CARAF). J Arrhythm. 2017; 33: 430-433 Crossref PubMed Scopus (14) Google Scholar , 6 Patel D Mohanty P Di Biase L Sanchez JE Shaheen MH Burkhardt JD Bassouni M Cummings J Wang Y Lewis WR Diaz A Horton RP Beheiry S Hongo R Gallinghouse GJ Zagrodzky JD Bailey SM Al-Ahmad A Wang P Schweikert RA Natale A Outcomes and complications of catheter ablation for atrial fibrillation in females. Heart Rhythm. 2010; 7: 167-172 Abstract Full Text Full Text PDF PubMed Scopus (184) Google Scholar Machine learning (ML) is increasingly being used in cardiac electrophysiology owing to its ability to identify nonlinear relations and high-order interactions between multiple variables in the large datasets. The aim of our study was to compare the performance of ML with traditional statistical analysis in identifying predictors of tamponade after AF ablation.