Literature DB >> 32385806

Usefulness of Hemodynamic Device-Based Optimization in Heterogeneous Patients Implanted with Cardiac Resynchronization Therapy Defibrillator.

Gregorio Covino1, Mario Volpicelli1, Carmine Ciardiello2, Paolo Capogrosso1.   

Abstract

Optimization of the atrioventricular (AV) and interventricular (VV) timings of the CRT is the most supposed correctable variable to improve the rate of CRT responder. The aim of the present study has been to evaluate if there is a specific subgroup of patients who can actually benefit the most from a hemodynamic optimization of AV. This is a prospective, observational single-center study that enrolled consecutive patients with clinical indication for CRT; all patients were implanted with CRT-D devices with SonR technology, able to automatically adjust AV and VV delay on a weekly basis. Among 57 patients, 39 (69%) showed a LVESV reduction > 15%. The SonR was able to modify the pacing parameters, but an increase of left atrial diameter was associated to a reduced AV variability, suggesting that an impaired left atrial function could potentially reduce the ability of the SonR algorithm to adjust the correct timing of pacing. Graphical abstract Patients with respectively a high (A) and low (B) AV timing variability, among several parameters that could potentially influence the AV timing, only left atrial dimensions demonstrated a significant impact. In fact an increase of left atrial diameter was associated to a reduced AV variability, suggesting that an impaired left atrial function could potentially reduce the ability of the SonR algorithm to adjust the correct timing of pacing.

Entities:  

Keywords:  AV optimization; CRT; Hemodynamic sensor; Left atrial dimension

Mesh:

Year:  2020        PMID: 32385806     DOI: 10.1007/s12265-020-10004-9

Source DB:  PubMed          Journal:  J Cardiovasc Transl Res        ISSN: 1937-5387            Impact factor:   4.132


  1 in total

1.  Contractility sensor-guided optimization of cardiac resynchronization therapy: results from the RESPOND-CRT trial.

Authors:  Josep Brugada; Peter Paul Delnoy; Johannes Brachmann; Dwight Reynolds; Luigi Padeletti; Georg Noelker; Charan Kantipudi; José Manuel Rubin Lopez; Wolfgang Dichtl; Alberto Borri-Brunetto; Luc Verhees; Philippe Ritter; Jagmeet P Singh
Journal:  Eur Heart J       Date:  2017-03-07       Impact factor: 29.983

  1 in total
  2 in total

1.  Left Ventricular Pressure Estimation Using Machine Learning-Based Heart Sound Classification.

Authors:  Philip Westphal; Hongxing Luo; Mehrdad Shahmohammadi; Luuk I B Heckman; Marion Kuiper; Frits W Prinzen; Tammo Delhaas; Richard N Cornelussen
Journal:  Front Cardiovasc Med       Date:  2022-05-25

2.  Overview of Current Strategies Aiming at Improving Response to Cardiac Resynchronization Therapy.

Authors:  Yakup Yunus Yamantürk; Başar Candemir; Emir Baskovski; Kerim Esenboğa
Journal:  Anatol J Cardiol       Date:  2022-05       Impact factor: 1.475

  2 in total

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