Noninvasive Electrical Mapping Compared with the Paced QRS Complex for Optimizing CRT Programmed Settings and Predicting Multidimensional Response.

Cardiac magnetic resonance Cardiac resynchronization therapy Electrical mapping Heart failure Right ventricular function

Journal

Journal of cardiovascular translational research
ISSN: 1937-5395
Titre abrégé: J Cardiovasc Transl Res
Pays: United States
ID NLM: 101468585

Informations de publication

Date de publication:
06 Sep 2023
Historique:
received: 06 03 2023
accepted: 21 07 2023
medline: 7 9 2023
pubmed: 7 9 2023
entrez: 6 9 2023
Statut: aheadofprint

Résumé

The aim was to test the hypothesis that left ventricular (LV) and right ventricular (RV) activation from body surface electrical mapping (CardioInsight 252-electrode vest, Medtronic) identifies optimal cardiac resynchronization therapy (CRT) pacing strategies and outcomes in 30 patients. The LV80, RV80, and BIV80 were defined as the times to 80% LV, RV, or biventricular electrical activation. Smaller differences in the LV80 and RV80 (|LV80-RV80|) with synchronized LV pacing predicted better LV function post-CRT (p = 0.0004) than the LV-paced QRS duration (p = 0.32). Likewise, a lower RV80 was associated with a better pre-CRT RV ejection fraction by CMR (r =  - 0.40, p = 0.04) and predicted post-CRT improvements in myocardial oxygen uptake (p = 0.01) better than the biventricular-paced QRS (p = 0.38), while a lower LV80 with BIV pacing predicted lower post-CRT B-type natriuretic peptide (BNP) (p = 0.02). RV pacing improved LV function with smaller |LV80-RV80| (p = 0.009). In conclusion, 3-D electrical mapping predicted favorable post-CRT outcomes and informed effective pacing strategies.

Identifiants

pubmed: 37674046
doi: 10.1007/s12265-023-10418-1
pii: 10.1007/s12265-023-10418-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL159945
Pays : United States

Informations de copyright

© 2023. The Author(s).

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Auteurs

Frances L Morales (FL)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Derek J Bivona (DJ)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Mohamad Abdi (M)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Rohit Malhotra (R)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Oliver Monfredi (O)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Andrew Darby (A)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Pamela K Mason (PK)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

J Michael Mangrum (JM)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Sula Mazimba (S)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Robert W Stadler (RW)

Medtronic plc., Mounds View, MN, USA.

Frederick H Epstein (FH)

University of Virginia Health System, Charlottesville, VA, 22901, USA.

Kenneth C Bilchick (KC)

University of Virginia Health System, Charlottesville, VA, 22901, USA. kcb7f@uvahealth.org.

Pim J A Oomen (PJA)

Department of Biomedical Engineeering, Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center, University of California, Irvine, Irvine, CA, USA.

Classifications MeSH