The relationship between ECG predictors of cardiac resynchronization therapy benefit
Jazyk angličtina Země Spojené státy americké Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
31150418
PubMed Central
PMC6544221
DOI
10.1371/journal.pone.0217097
PII: PONE-D-19-07011
Knihovny.cz E-zdroje
- MeSH
- akční potenciály MeSH
- blokáda Tawarova raménka patofyziologie terapie MeSH
- elektrická defibrilace MeSH
- elektrokardiografie metody normy MeSH
- funkce levé komory srdeční MeSH
- lidé MeSH
- prediktivní hodnota testů MeSH
- prostředky srdeční resynchronizační terapie normy MeSH
- srdeční frekvence MeSH
- srdeční resynchronizační terapie metody MeSH
- výsledek terapie MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
INTRODUCTION: Cardiac resynchronization therapy (CRT) is an effective treatment that reduces mortality and improves cardiac function in patients with left bundle branch block (LBBB). However, about 30% of patients passing the current criteria do not benefit or benefit only a little from CRT. Three predictors of benefit based on different ECG properties were compared: 1) "strict" left bundle branch block classification (SLBBB); 2) QRS area; 3) ventricular electrical delay (VED) which defines the septal-lateral conduction delay. These predictors have never been analyzed concurrently. We analyzed the relationship between them on a subset of 602 records from the MADIT-CRT trial. METHODS & RESULTS: SLBBB classification was performed by two experts; QRS area and VED were computed fully automatically. High-frequency QRS (HFQRS) maps were used to inspect conduction abnormalities. The correlation between SLBBB and other predictors was R = 0.613, 0.523 and 0.390 for VED, QRS area in Z lead, and QRS duration, respectively. Scatter plots were used to pick up disagreement between the predictors. The majority of SLBBB subjects- 295 of 330 (89%)-are supposed to respond positively to CRT according to the VED and QRS area, though 93 of 272 (34%) non-SLBBB should also benefit from CRT according to the VED and QRS area. CONCLUSION: SLBBB classification is limited by the proper setting of cut-off values. In addition, it is too "strict" and excludes patients that may benefit from CRT therapy. QRS area and VED are clearly defined parameters. They may be used to optimize biventricular stimulation. Detailed analysis of conduction irregularities with CRT optimization should be based on HFQRS maps.
Institute of Scientific Instruments of the Czech Academy of Sciences Brno Czech Republic
International Clinical Research Center St Anne's University Hospital Brno Czech Republic
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Brignole M, Auricchio A, Baron-Esquivias G, Bordachar P, Boriani G, Breithardt OA, et al. 213 ESC Guidelines on cardiac pacing and cardiac resynchronization therapy. Eur Heart J 2013;34:2281–329. 10.1093/eurheartj/eht150 PubMed DOI
Engels EB, Mafi-Rad M, van Stipdonk AMW, Vernooy K, Prinzen FW. Why QRS Duration Should Be Replaced by Better Measures of Electrical Activation to Improve Patient Selection for Cardiac Resynchronization Therapy. J Cardiovasc Transl Res 2016;9:257–65. 10.1007/s12265-016-9693-1 PubMed DOI PMC
Strauss DG, Selvester RH, Wagner GS. Defining left bundle branch block in the era of cardiac resynchronization therapy. Am J Cardiol 2011;107:927–34. 10.1016/j.amjcard.2010.11.010 PubMed DOI
Zusterzeel R, Vicente J, Ochoa-Jimenez R, Zhu J, Couderc JP, Akinnagbe-Zusterzeel E, et al. The 43rd International Society for Computerized Electrocardiology ECG initiative for the automated detection of strict left bundle branch block. J Electrocardiol 2018:6–11. 10.1016/j.jelectrocard.2018.08.001 PubMed DOI
Van Deursen CJM, Vernooy K, Dudink E, Bergfeldt L, Crijns HJGM, Prinzen FW, et al. Vectorcardiographic QRS area as a novel predictor of response to cardiac resynchronization therapy. J Electrocardiol 2015;48:45–52. 10.1016/j.jelectrocard.2014.10.003 PubMed DOI
Nguyên UC, Claridge S, Vernooy K, Engels EB, Razavi R, Rinaldi CA, et al. Relationship between vectorcardiographic QRSarea, myocardial scar quantification, and response to cardiac resynchronization therapy. J Electrocardiol 2018; 51:457–63. 10.1016/j.jelectrocard.2018.01.009 PubMed DOI
De Pooter J, El Haddad M, De Buyzere M, Aranda HA, Cornelussen R, Stegemann B, et al. Biventricular Paced QRS Area Predicts Acute Hemodynamic CRT Response Better Than QRS Duration or QRS Amplitudes. J Cardiovasc Electrophysiol 2017;28:192–200. 10.1111/jce.13132 PubMed DOI
Jurak P, Halamek J, Meluzin J, Plesinger F, Postranecka T, Lipoldova J, et al. Ventricular dyssynchrony assessment using ultra-high frequency ECG technique. J Interv Card Electrophysiol 2017;49:245–54. 10.1007/s10840-017-0268-0 PubMed DOI PMC
Plesinger F, Jurak P, Halamek J, Nejedly P, Leinveber P, Viscor I, et al. Ventricular Electrical Delay Measured From Body Surface ECGs Is Associated With Cardiac Resynchronization Therapy Response in Left Bundle Branch Block Patients From the MADIT-CRT Trial (Multicenter Automatic Defibrillator Implantation-Cardiac Resynchroniz. Circ Arrhythmia Electrophysiol 2018;11:e005719 10.1161/CIRCEP.117.005719 PubMed DOI
Padeletti L, Sassone B, Tondo AL, Belvito C. Electrocardiographic Criteria of True Left Bundle Branch Block: A Simple Sign to Predict a Better Clinical and Instrumental Response to CRT n.d. 10.1111/j.1540-8159.2012.03427.x PubMed DOI
Smisek R, Jurak P, Viscor I, Halamek J, Plesinger F, Matejkova M, et al. Automatic detection of strict left bundle branch block. IFMBE Proc 2018;68:435–9. 10.1007/978-981-10-9038-7_82 PubMed DOI
Moss AJ, Brown MW, Cannom DS, Daubert JP, Estes M, Foster E, et al. Trial—Cardiac Resynchronization Therapy (MADIT-CRT): Design and Clinical Protocol. Ann Noninvasive Electrocardiol 2005;10:34–43. PubMed PMC
Guidelines for the LBBB Initiative of the ISCE 2018 meeting. http://thew-project.org/LBBB_initiative.htm
Vozda M, Cerny M. Methods for derivation of orthogonal leads from 12-lead electrocardiogram: A review. Biomed Signal Process Control 2015;19:23–34. 10.1016/j.bspc.2015.03.001 DOI
Plesinger F, Jurco J, Halamek J, Jurak P. SignalPlant: An open signal processing software platform. Physiol Meas 2016;37:N38–48. 10.1088/0967-3334/37/7/N38 PubMed DOI
THEW database: http://thew-project.org/Database/E-OTH-12-0602-024.html.
Caputo ML, van Stipdonk A, Illner A, D’Ambrosio G, Regoli F, Conte G, et al. The definition of left bundle branch block influences the response to cardiac resynchronization therapy. Int J Cardiol 2018;269:165–9. 10.1016/j.ijcard.2018.07.060 PubMed DOI
Anderson KP. Left bundle branch block and the evolving role of QRS morphology in selection of patients for cardiac resynchronization. J Interv Card Electrophysiol 2018;52:353–74. 10.1007/s10840-018-0426-z PubMed DOI
Bertaglia E, Migliore F, Baritussio A, De Simone A, Reggiani A, Pecora D, et al. Stricter criteria for left bundle branch block diagnosis do not improve response to CRT. PACE—Pacing Clin Electrophysiol 2017;40:850–6. 10.1111/pace.13104 PubMed DOI
Van Stipdonk AMW, Vanbelle S, Horst IAH, Luermans JG, Meine M. Large variability in clinical judgement and definitions of left bundle branch block to identify candidates for cardiac resynchronisation therapy Int J Cardiol. 2019. January 15 10.1016/j.ijcard.2019.01.051 PubMed DOI
Maass AH, Vernooy K, Wijers SC, Van Sant J, Cramer MJ, Meine M, et al. Refining success of cardiac resynchronization therapy using a simple score predicting the amount of reverse ventricular remodelling: results from the Markers and Response to CRT (MARC) study 2018:1–10. 10.1093/europace/euw445 PubMed DOI
Strik M, Ploux S, Huntjens PR, Châu U, Frontera A, Eschalier R, et al. Response to cardiac resynchronization therapy is determined by intrinsic electrical substrate rather than by its modification. Int J Cardiol 2018;270:143–8. 10.1016/j.ijcard.2018.06.005 PubMed DOI
Niederer SA, Rinaldi CA. Is CRT response rate all about patient selection? Int J Cardiol 2018;270:183–4. 10.1016/j.ijcard.2018.06.079 PubMed DOI
Auricchio A, Lumens J, Prinzen FW. Controversies in Arrhythmia and Electrophysiology Does Cardiac Resynchronization Therapy Benefit Patients With Right Bundle Branch Block 2014:532–42. PubMed
Coppola G, Ciaramitaro G, Stabile G, Donofrio A, Palmisano P, Carità P, et al. Magnitude of QRS duration reduction after biventricular pacing identifies responders to cardiac resynchronization therapy. Int J Cardiol 2016;221:450–5. 10.1016/j.ijcard.2016.06.203 PubMed DOI
Arrhythmia C, Zweerink A, Van De Ven P, Biesbroek PS, Allaart CP. Normalization of QRS Duration to Left Ventricular Dimension 2018. 10.1161/CIRCEP.118.006767 PubMed DOI
Gold MR, Yu Y, Wold N, Day JD. The role of interventricular conduction delay to predict clinical response with cardiac resynchronization therapy. Hear Rhythm 2017;14:1748–55. 10.1016/j.hrthm.2017.10.016 PubMed DOI
Gold MR, Lowy J, Tomassoni G, Auricchio A, Rials SJ, Leclercq C, et al. The rationale and design of the SMART CRT trial n.d. 10.1111/pace.13459 PubMed DOI
Birgersdotter U, Wold N, Ellenbogen KA. Effect of Interventricular Electrical Delay on Atrioventricular Optimization for Cardiac Resynchronization Therapy 2018:1–9. 10.1161/CIRCEP.117.006055 PubMed DOI PMC
Van Eyk JE, Gold MR, Mittal S, Stein KM, Ellenbogen KA, Smart-av T. Development of a biomarker panel to predict cardiac resynchronization therapy response: Results from the SMART-AV trial. Hear Rhythm 2019. 10.1016/j.hrthm.2018.11.026 PubMed DOI PMC
Hussein AA, Ceresnak SR, Davis DR, Park DS, Wang PJ. Year in Review in Cardiac Electrophysiology 2019:1–13. 10.1161/CIRCEP.118.007142 PubMed DOI
Carità P, Corrado E, Pontone G, Curnis A, Bontempi L, Novo G, et al. Non-responders to cardiac resynchronization therapy: Insights from multimodality imaging and electrocardiography. A brief review. Int J Cardiol 2016;225:402–7. 10.1016/j.ijcard.2016.09.037 PubMed DOI