Literature DB >> 19702599

Response to cardiac resynchronization therapy: is it time to expand the criteria?

Henneke Versteeg1, Angélique A Schiffer, Jos W Widdershoven, Mathias M Meine, Pieter A Doevendans, Susanne S Pedersen.   

Abstract

BACKGROUND: Cardiac resynchronization therapy (CRT) is a promising treatment for a subgroup of patients with advanced congestive heart failure and a prolonged QRS interval. Despite the majority of patients benefiting from CRT, 10-40% of patients do not respond to this treatment and are labeled as nonresponders. Given that there is a lack of consensus on how to define response to CRT, the purpose of this viewpoint is to discuss currently used definitions and their shortcomings, and to provide recommendations as to how an expansion of the criteria for CRT response may be useful to clinicians. METHODS AND
RESULTS: Analysis of the literature and case reports indicates that the majority of established measures of CRT response, including New York Heart Association functional class and echocardiographic, hemodynamic, and neurohormonal parameters, are poor associates of patient-reported symptoms and quality of life. Moreover, the potential moderating role of psychological factors in determining health outcomes after CRT has largely been neglected.
CONCLUSIONS: It is recommended to routinely assess health status after CRT with a disease-specific questionnaire in standard clinical practice and to examine its determinants, including psychological factors such as personality traits and depression. This may lead to improved (secondary) treatment and prognosis in CHF patients treated with CRT.

Entities:  

Mesh:

Year:  2009        PMID: 19702599     DOI: 10.1111/j.1540-8159.2009.02505.x

Source DB:  PubMed          Journal:  Pacing Clin Electrophysiol        ISSN: 0147-8389            Impact factor:   1.976


  11 in total

Review 1.  Overview of implantable cardioverter defibrillator and cardiac resynchronisation therapy in heart failure management.

Authors:  Pow-Li Chia; David Foo
Journal:  Singapore Med J       Date:  2016-07       Impact factor: 1.858

Review 2.  Device Management in Heart Failure.

Authors:  Brett G Angel; Heath Saltzman; Luke S Kusmirek
Journal:  Curr Cardiol Rep       Date:  2017-09-25       Impact factor: 2.931

3.  Depression, psychological distress, and quality of life in patients with cardioverter defibrillator with or without cardiac resynchronization therapy.

Authors:  Christian Knackstedt; Marlies Arndt; Karl Mischke; Nikolaus Marx; Fred Nieman; Hanns Jürgen Kunert; Patrick Schauerte; Christine Norra
Journal:  Heart Vessels       Date:  2013-06-04       Impact factor: 2.037

4.  Prediction of response to cardiac resynchronization therapy using left ventricular pacing lead position and cardiovascular magnetic resonance derived wall motion patterns: a prospective cohort study.

Authors:  Gregory R Hartlage; Jonathan D Suever; Stephanie Clement-Guinaudeau; Patrick T Strickland; Nima Ghasemzadeh; R Patrick Magrath; Ankit Parikh; Stamatios Lerakis; Michael H Hoskins; Angel R Leon; Michael S Lloyd; John N Oshinski
Journal:  J Cardiovasc Magn Reson       Date:  2015-07-14       Impact factor: 5.364

5.  The role of the fragmented QRS complexes on a routine 12-lead ECG in predicting non-responsiveness to cardiac resynchronization therapy.

Authors:  Mohammad Assadian Rad; Narges Tabarzan Baboli; Anoosh Barzigar; Jalal Keirkhah; Soheil Soltanipour; Hamid Reza Bonakdar; Fardin Mirbolouk; Hassan Moladoust
Journal:  Anatol J Cardiol       Date:  2014-04-08       Impact factor: 1.596

6.  Fragmented QRS as a Marker of Electrical Dyssynchrony to Predict Inter-Ventricular Conduction Defect by Subsequent Echocardiographic Assessment in Symptomatic Patients of Non-Ischemic Dilated Cardiomyopathy.

Authors:  Santosh Kumar Sinha; Kush Bhagat; Mohammad Asif; Karandeep Singh; Mohit Sachan; Vikas Mishra; Nasar Afdaali; Mukesh Jitendra Jha; Ashutosh Kumar; Shravan Singh; Rupesh Sinha; Dibbendhu Khanra; Ramesh Thakur; Chandra Mohan Varma; Vinay Krishna; Umeshwar Pandey
Journal:  Cardiol Res       Date:  2016-09-05

Review 7.  Machine learning versus conventional clinical methods in guiding management of heart failure patients-a systematic review.

Authors:  George Bazoukis; Stavros Stavrakis; Jiandong Zhou; Sandeep Chandra Bollepalli; Gary Tse; Qingpeng Zhang; Jagmeet P Singh; Antonis A Armoundas
Journal:  Heart Fail Rev       Date:  2021-01       Impact factor: 4.214

8.  Distinct trajectories of disease-specific health status in heart failure patients undergoing cardiac resynchronization therapy.

Authors:  Mirjam H Mastenbroek; Susanne S Pedersen; Mathias Meine; Henneke Versteeg
Journal:  Qual Life Res       Date:  2015-11-13       Impact factor: 4.147

9.  Patient-reported health status prior to cardiac resynchronisation therapy identifies patients at risk for poor survival and prolonged hospital stays.

Authors:  H Versteeg; J Denollet; M Meine; S S Pedersen
Journal:  Neth Heart J       Date:  2016-01       Impact factor: 2.380

10.  The Use of Machine Learning Algorithms in the Evaluation of the Effectiveness of Resynchronization Therapy.

Authors:  Bartosz Krzowski; Jakub Rokicki; Renata Główczyńska; Nikola Fajkis-Zajączkowska; Katarzyna Barczewska; Mariusz Mąsior; Marcin Grabowski; Paweł Balsam
Journal:  J Cardiovasc Dev Dis       Date:  2022-01-10
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