Literature DB >> 23725913

Indexed maximal left atrial volume predicts response to cardiac resynchronization therapy.

Luca Rossi1, Alessandro Malagoli, Massimo Piepoli, Francesco Franchi, Vincenzo Malavasi, Edoardo Casali, Guido Rusticali, Giovanni Quinto Villani.   

Abstract

AIMS: Cardiac resynchronization therapy (CRT) has shown morbidity and mortality benefits in patients with advanced congestive heart failure (HF). Since about one-third of the patients did not appear to respond to CRT, it would seem reasonable to try to identify patients more accurately before implantation. Left atrial (LA) dimension has been proposed as a powerful outcome predictor in patients with heart disease. Accordingly, the aim of this study is to prospectively assess the predictive value of LA for selecting CRT responders.
METHODS: Fifty two consecutive patients with refractory HF, sinus rhythm and left bundle branch block were enrolled in the study and planned for CRT implantation. Clinical and echocardiographic evaluations were performed before CRT implantation and after 6 months. Three LA volumes indexed to body surface area (iLAV) were computed to evaluate the LA complexity: maximal LAV (iLAVmax), LAV just before atrial systole (iLAVpre), and minimal LAV (iLAVpost). CRT responders were defined as those who presented a reduction of >10% in LVESVi at 6-month follow-up.
RESULTS: Responders (63%) and nonresponders (37%) had similar baseline clinical characteristics and pre-implantation LV volumes. However, baseline LA volumes were significantly associated with the extent of LV reverse remodeling: in particular, baseline iLAVmax was remarkably lower in responders than in nonresponders (50.2±14.1 ml/m(2) vs 65.8±15.7 ml/m(2), p=0.001) resulting predictive for CRT response.
CONCLUSION: Patients with small iLAV result as better responders to CRT than larger one. iLAVmax is an independent predictor of LV reverse remodeling and allows to indentify the best candidates for CRT.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiac resynchronization therapy (CRT); Chronic heart failure; Left atrial volume

Mesh:

Year:  2013        PMID: 23725913     DOI: 10.1016/j.ijcard.2013.05.028

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  6 in total

Review 1.  Current role of echocardiography in cardiac resynchronization therapy.

Authors:  Donato Mele; Matteo Bertini; Michele Malagù; Marianna Nardozza; Roberto Ferrari
Journal:  Heart Fail Rev       Date:  2017-11       Impact factor: 4.214

2.  Left atrial size and function as assessed by computed tomography in cardiac resynchronization therapy: Association to echocardiographic and clinical outcome.

Authors:  Peter Bomholt Hansen; Anders Sommer; Bjarne Linde Nørgaard; Mads Brix Kronborg; Jens Cosedis Nielsen
Journal:  Int J Cardiovasc Imaging       Date:  2017-01-25       Impact factor: 2.357

3.  Impact of S-Wave Amplitude in Right Precordial Leads on Improvement in Mitral Regurgitation following Cardiac Resynchronization Therapy.

Authors:  Naoya Kataoka; Teruhiko Imamura; Takahisa Koi; Shuhei Tanaka; Nobuyuki Fukuda; Hiroshi Ueno; Koichiro Kinugawa
Journal:  J Cardiovasc Dev Dis       Date:  2022-05-16

4.  Mid-regional pro-atrial natriuretic peptide to predict clinical course in heart failure patients undergoing cardiac resynchronization therapy.

Authors:  Mattia Arrigo; Quynh A Truong; Jackie Szymonifka; Mercedes Rivas-Lasarte; Heli Tolppanen; Malha Sadoune; Etienne Gayat; Alain Cohen-Solal; Frank Ruschitzka; James L Januzzi; Jagmeet P Singh; Alexandre Mebazaa
Journal:  Europace       Date:  2017-11-01       Impact factor: 5.214

Review 5.  The Role of the Left Atrium: From Multimodality Imaging to Clinical Practice: A Review.

Authors:  Matteo Beltrami; Lorenzo-Lupo Dei; Massimo Milli
Journal:  Life (Basel)       Date:  2022-08-04

6.  Electro-echocardiographic Indices to Predict Cardiac Resynchronization Therapy Non-response on Non-ischemic Cardiomyopathy.

Authors:  Ziqing Yu; Xueying Chen; Fei Han; Shengmei Qin; Minghui Li; Yuan Wu; Yangang Su; Junbo Ge
Journal:  Sci Rep       Date:  2017-03-10       Impact factor: 4.379

  6 in total

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