Patrick T Bering1, João L Cavalcante2,3. 1. Medstar Washington Hospital Center, Washington - District of Columbia. 2. Minneapolis Heart Institute - Abbott Northwestern Hospital, Minneapolis - Minnesota. 3. Valve Science Center - Minneapolis Heart Institute Foundation, Minneapolis - Minnesota.
Morphological and functional characteristics of the left atrium (LA) play a key role in
the pathogenesis of atrial fibrillation (AF), which represents a global health burden as
the most common cardiac arrhythmia encountered in clinical practice.[1] For patients with drug-refractory AF,
catheter-ablation may aid in a) prolonged restoration of sinus rhythm, b) decreased in
total arrhythmic burden, symptomatic improvement, and c) better quality of life.
However, catheter-ablation may not have a durable effect for a significant number of
patients despite repeated procedures.[2]
A variety of innovative procedural technologies aim to improve patient freedom from AF.
Scientific progress in the identification of patient characteristics that suggest a
favorable or poor likelihood of procedural success may enhance patient selection for
catheter-ablation and optimize time utilization for the cardiac electrophysiologist.Cardiac magnetic resonance (CMR) imaging with late gadolinium enhancement (LGE) has been
shown to be a promising, non-invasive tool for the measurement of LA fibrosis, which
predicts the recurrence of AF after catheter-ablation.[3],[4] While this tissue characterization of the LA represents a promising
technology for patients with AF in whom catheter-ablation is being considered, it
remains mostly these days at expert centers, has labor-intensive post-processing and
necessitates the use of gadolinium contrast, which may exclude patients who have
advanced kidney disease or allergic reactions to gadolinium. Functional assessment with
intra-atrial dyssynchrony utilizing tissue-tracking represents an elegant technique to
characterize LA mechanics that does not require gadolinium contrast or significant
post-processing and was recently shown to correlate with the recurrence of AF after
catheter-ablation.[4]In this issue, Ciuffo et al.[5] advance
the understanding of adverse LA remodeling and dysfunction in patients with AF. Using
CMR to measure intra-atrial dyssynchrony in sinus rhythm, defined as the standard
deviation of the time to the peak longitudinal strain [SD-TPS (%)] and pre-atrial
contraction strain [SD-TPSpreA (%)] corrected by the cycle length. LA
fibrosis was quantified using LGE images, which, interestingly, did not differ
significantly between paroxysmal and persistent AF types. Notably, SD-TPS was
significantly higher in patients with persistent AF than those with paroxysmal AF,
although this association did not hold true for SD-TPSpreA between the AF
types. On multivariable adjustment for age, sex, BMI, AF type, history of heart failure,
OSA, hypertension, minimal LA volume and maximum LA longitudinal strain, both SD-TPS and
SD-TPSpreA remained significantly associated with LA LGE, although the
signal was much stronger for SD-TPS. Inter- and intra-reader reproducibility was
excellent for both indices, and the data were post-processed in a short amount of
time.These findings highlight the potential for intra-atrial dyssynchrony by CMR to represent
a fast and accurate surrogate of LA fibrosis, especially in the prediction of AF
recurrence after catheter-ablation.[3],[4] The
authors have appropriately acknowledged the potential for selection bias in their
non-randomized, retrospective cohort, and this technique requires patients to be in
sinus rhythm at the time of CMR imaging. Still, Ciuffo et al.[5] have added valuable insights into the understanding of
LA remodeling in AF and must be praised for their work, which studied a real-world
population and considered the important concern of work-flow for CMR post-processing.
Their findings should stimulate more research into the use of intra-atrial dyssynchrony
as non-invasive risk stratification for patients with AF, which does not require
gadolinium contrast to enhance patient selection for invasive therapies such as
catheter-ablation.
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: Heart Rhythm Date: 2017-05-12 Impact factor: 6.343
Authors: Luisa Ciuffo; Susumu Tao; Esra Gucuk Ipek; Tarek Zghaib; Muhammad Balouch; Joao A C Lima; Saman Nazarian; David D Spragg; Joseph E Marine; Ronald D Berger; Hugh Calkins; Hiroshi Ashikaga Journal: JACC Cardiovasc Imaging Date: 2018-01-17
Authors: Nassir F Marrouche; David Wilber; Gerhard Hindricks; Pierre Jais; Nazem Akoum; Francis Marchlinski; Eugene Kholmovski; Nathan Burgon; Nan Hu; Lluis Mont; Thomas Deneke; Mattias Duytschaever; Thomas Neumann; Moussa Mansour; Christian Mahnkopf; Bengt Herweg; Emile Daoud; Erik Wissner; Paul Bansmann; Johannes Brachmann Journal: JAMA Date: 2014-02-05 Impact factor: 56.272
Authors: Sumeet S Chugh; Rasmus Havmoeller; Kumar Narayanan; David Singh; Michiel Rienstra; Emelia J Benjamin; Richard F Gillum; Young-Hoon Kim; John H McAnulty; Zhi-Jie Zheng; Mohammad H Forouzanfar; Mohsen Naghavi; George A Mensah; Majid Ezzati; Christopher J L Murray Journal: Circulation Date: 2013-12-17 Impact factor: 29.690