Serkan Cay1, Meryem Kara1, Firat Ozcan1, Ozcan Ozeke1, Ahmet Korkmaz1, Hande Cetin1, Tolga Aksu2,3, Serkan Topaloglu1. 1. Division of Arrhythmia and Electrophysiology, Department of Cardiology, University of Health Sciences, Yuksek Ihtisas Cardiovascular Building, Ankara City Hospital, Ankara, Turkey. 2. Department of Electrophysiology, Yeditepe University Hospital, Istanbul, Turkey. aksutolga@gmail.com. 3. Department of Cardiology, Yeditepe University Hospital, Istanbul, Turkey, 41500. aksutolga@gmail.com.
Abstract
BACKGROUND: Several clinical risk factors and scoring systems have been proposed to predict arrhythmia recurrence after atrial fibrillation (AF) ablation. We sought to determine the ability of a new score to predict atrial arrhythmia recurrence after cryoballoon (CB) ablation of AF and whether the new score shows superior efficiency compared to previously offered scores. METHODS: A total of 419 patients with paroxysmal AF who underwent their first CB ablation were included. Baseline clinical variables were analyzed, and independent predictors of recurrence at 12 months were used to develop the PAT2C2H score. The predictive capability of the new score was calculated and compared with the currently available risk scores. RESULTS: Chronic obstructive pulmonary disease, left atrial dilatation, transient ischemic attack or stroke, congestive heart failure, and hypertension were independent predictors of recurrence. The PAT2C2H score which was developed from these variables had a better clinical predictive capability of arrhythmia recurrence compared to HATCH and CHA2DS2-VASc scores. With increasing PAT2C2H score and score severity (low, score of 0; moderate, score of 1-2; and high, score of ≥ 3), the proportion of patients with recurrence was increased from 7% (score = 0, severity = low) to 59% (score ≥ 3, severity = high). CONCLUSIONS: The PAT2C2H score may help to identify patients who are likely benefited most from CB ablation of paroxysmal AF and who should be monitored more closely for arrhythmia recurrence at 12 months.
BACKGROUND: Several clinical risk factors and scoring systems have been proposed to predict arrhythmia recurrence after atrial fibrillation (AF) ablation. We sought to determine the ability of a new score to predict atrial arrhythmia recurrence after cryoballoon (CB) ablation of AF and whether the new score shows superior efficiency compared to previously offered scores. METHODS: A total of 419 patients with paroxysmal AF who underwent their first CB ablation were included. Baseline clinical variables were analyzed, and independent predictors of recurrence at 12 months were used to develop the PAT2C2H score. The predictive capability of the new score was calculated and compared with the currently available risk scores. RESULTS: Chronic obstructive pulmonary disease, left atrial dilatation, transient ischemic attack or stroke, congestive heart failure, and hypertension were independent predictors of recurrence. The PAT2C2H score which was developed from these variables had a better clinical predictive capability of arrhythmia recurrence compared to HATCH and CHA2DS2-VASc scores. With increasing PAT2C2H score and score severity (low, score of 0; moderate, score of 1-2; and high, score of ≥ 3), the proportion of patients with recurrence was increased from 7% (score = 0, severity = low) to 59% (score ≥ 3, severity = high). CONCLUSIONS: The PAT2C2H score may help to identify patients who are likely benefited most from CB ablation of paroxysmal AF and who should be monitored more closely for arrhythmia recurrence at 12 months.
Authors: F D'Ascenzo; A Corleto; G Biondi-Zoccai; M Anselmino; F Ferraris; L di Biase; A Natale; R J Hunter; R J Schilling; S Miyazaki; H Tada; K Aonuma; L Yenn-Jiang; H Tao; C Ma; D Packer; S Hammill; F Gaita Journal: Int J Cardiol Date: 2012-05-22 Impact factor: 4.164
Authors: Craig T January; L Samuel Wann; Joseph S Alpert; Hugh Calkins; Joaquin E Cigarroa; Joseph C Cleveland; Jamie B Conti; Patrick T Ellinor; Michael D Ezekowitz; Michael E Field; Katherine T Murray; Ralph L Sacco; William G Stevenson; Patrick J Tchou; Cynthia M Tracy; Clyde W Yancy Journal: J Am Coll Cardiol Date: 2014-03-28 Impact factor: 24.094
Authors: Jason G Andrade; Jean Champagne; Marc Dubuc; Marc W Deyell; Atul Verma; Laurent Macle; Peter Leong-Sit; Paul Novak; Mariano Badra-Verdu; John Sapp; Iqwal Mangat; Clarence Khoo; Christian Steinberg; Matthew T Bennett; Anthony S L Tang; Paul Khairy Journal: Circulation Date: 2019-10-21 Impact factor: 29.690
Authors: Kudret Aytemir; Kadri Murat Gurses; Muhammed Ulvi Yalcin; Duygu Kocyigit; Muhammet Dural; Banu Evranos; Hikmet Yorgun; Ahmet Hakan Ates; Mehmet Levent Sahiner; Ergun Baris Kaya; Mehmet Ali Oto Journal: Europace Date: 2014-11-05 Impact factor: 5.214
Authors: Aakash A Bavishi; Rachel M Kaplan; Graham Peigh; Celso L Diaz; Jayson R Baman; Amar Trivedi; Jeremiah Wasserlauf; Mark J Shen; Prasongchai Sattayaprasert; Alexandru B Chicos; Susan Kim; Nishant Verma; Rishi Arora; Albert Lin; Bradley P Knight; Rod S Passman Journal: Pacing Clin Electrophysiol Date: 2019-04-09 Impact factor: 1.976
Authors: Jason G Andrade; George A Wells; Marc W Deyell; Matthew Bennett; Vidal Essebag; Jean Champagne; Jean-Francois Roux; Derek Yung; Allan Skanes; Yaariv Khaykin; Carlos Morillo; Umjeet Jolly; Paul Novak; Evan Lockwood; Guy Amit; Paul Angaran; John Sapp; Stephan Wardell; Sandra Lauck; Laurent Macle; Atul Verma Journal: N Engl J Med Date: 2020-11-16 Impact factor: 91.245
Authors: Gerhard Hindricks; Tatjana Potpara; Nikolaos Dagres; Elena Arbelo; Jeroen J Bax; Carina Blomström-Lundqvist; Giuseppe Boriani; Manuel Castella; Gheorghe-Andrei Dan; Polychronis E Dilaveris; Laurent Fauchier; Gerasimos Filippatos; Jonathan M Kalman; Mark La Meir; Deirdre A Lane; Jean-Pierre Lebeau; Maddalena Lettino; Gregory Y H Lip; Fausto J Pinto; G Neil Thomas; Marco Valgimigli; Isabelle C Van Gelder; Bart P Van Putte; Caroline L Watkins Journal: Eur Heart J Date: 2021-02-01 Impact factor: 29.983