Objective: To study the influence of a flow-based Impedance Index to attempt to explain the persistent late failure rate of Pulmonary Vein Isolation (PVI) in patients with Atrial Fibrillation (AF). Background: We recently described a flow-based Impedance Index for left ventricular ejection into the aorta and noted an association with Major Adverse Cardiovascular Event Rate (MACE). While the Impedance Index is not routinely measured in PVI patients it approximates to measures derivable from the left ventricular ejection fraction (EF). We sought to assess the Impedance Index's influence on PVI failure rate in combination with indices of left atrial size. Methods: In AF patients (n=100) undergoing a Cardiovascular Magnetic Resonance (CMR) imaging examination prior to undergoing PVI we assessed baseline characteristics for their influence on the PVI failure rate at 3-12 months. Uni-variable and multi-variable binary logistic models were performed to find predictors of the PVI failure rate at follow-up. Results: All patients underwent PVI and CMR imaging. A total of 26 (26%) patients had late AF recurrence at 3-12 months follow-up. Multi-variable models that predicted PVI failure were: 1) the baseline Impedance Index and LA volume index (p<0.05) and 2) the baseline Impedance Index and the degree of mitral valve regurgitation (MR) (p<0.001). While the Impedance Index was derived from EF, EF per se was not a predictor of PVI failure (p=0.28). Conclusions: We have provided evidence of the influence of a flow-based Impedance Index on the PVI late failure rate which is significant and remains explanatory when adjusting for measures of atrial size, MR grade and LA volume index. Direct measure of the Impedance Index was not available here and was derived from EF measures. Further work is needed to directly measure the Impedance Index in a PVI population and determine the mechanism for the influence on PVI failure, which may lead to modification of the ablation procedure to improve the success rate.
Objective: To study the influence of a flow-based Impedance Index to attempt to explain the persistent late failure rate of Pulmonary Vein Isolation (PVI) in patients with Atrial Fibrillation (AF). Background: We recently described a flow-based Impedance Index for left ventricular ejection into the aorta and noted an association with Major Adverse Cardiovascular Event Rate (MACE). While the Impedance Index is not routinely measured in PVI patients it approximates to measures derivable from the left ventricular ejection fraction (EF). We sought to assess the Impedance Index's influence on PVI failure rate in combination with indices of left atrial size. Methods: In AF patients (n=100) undergoing a Cardiovascular Magnetic Resonance (CMR) imaging examination prior to undergoing PVI we assessed baseline characteristics for their influence on the PVI failure rate at 3-12 months. Uni-variable and multi-variable binary logistic models were performed to find predictors of the PVI failure rate at follow-up. Results: All patients underwent PVI and CMR imaging. A total of 26 (26%) patients had late AF recurrence at 3-12 months follow-up. Multi-variable models that predicted PVI failure were: 1) the baseline Impedance Index and LA volume index (p<0.05) and 2) the baseline Impedance Index and the degree of mitral valve regurgitation (MR) (p<0.001). While the Impedance Index was derived from EF, EF per se was not a predictor of PVI failure (p=0.28). Conclusions: We have provided evidence of the influence of a flow-based Impedance Index on the PVI late failure rate which is significant and remains explanatory when adjusting for measures of atrial size, MR grade and LA volume index. Direct measure of the Impedance Index was not available here and was derived from EF measures. Further work is needed to directly measure the Impedance Index in a PVI population and determine the mechanism for the influence on PVI failure, which may lead to modification of the ablation procedure to improve the success rate.
Authors: Alex Baher; Mobin Kheirkhahan; Stephen J Rechenmacher; Qussay Marashly; Eugene G Kholmovski; Johannes Siebermair; Madan Acharya; Mossab Aljuaid; Alan K Morris; Gagandeep Kaur; Frederick T Han; Brent D Wilson; Benjamin A Steinberg; Nassir F Marrouche; Mihail G Chelu Journal: JACC Clin Electrophysiol Date: 2018-09-26
Authors: Hugh Calkins; Gerhard Hindricks; Riccardo Cappato; Young-Hoon Kim; Eduardo B Saad; Luis Aguinaga; Joseph G Akar; Vinay Badhwar; Josep Brugada; John Camm; Peng-Sheng Chen; Shih-Ann Chen; Mina K Chung; Jens Cosedis Nielsen; Anne B Curtis; D Wyn Davies; John D Day; André d'Avila; N M S Natasja de Groot; Luigi Di Biase; Mattias Duytschaever; James R Edgerton; Kenneth A Ellenbogen; Patrick T Ellinor; Sabine Ernst; Guilherme Fenelon; Edward P Gerstenfeld; David E Haines; Michel Haissaguerre; Robert H Helm; Elaine Hylek; Warren M Jackman; Jose Jalife; Jonathan M Kalman; Josef Kautzner; Hans Kottkamp; Karl Heinz Kuck; Koichiro Kumagai; Richard Lee; Thorsten Lewalter; Bruce D Lindsay; Laurent Macle; Moussa Mansour; Francis E Marchlinski; Gregory F Michaud; Hiroshi Nakagawa; Andrea Natale; Stanley Nattel; Ken Okumura; Douglas Packer; Evgeny Pokushalov; Matthew R Reynolds; Prashanthan Sanders; Mauricio Scanavacca; Richard Schilling; Claudio Tondo; Hsuan-Ming Tsao; Atul Verma; David J Wilber; Teiichi Yamane Journal: Europace Date: 2018-01-01 Impact factor: 5.214