Clinical significance of electrocardiographic markers of myocardial damage prior to aortic valve replacement.
Aortic stenosis
Aortic valve replacement
ECG strain
Myocardial damage
Journal
International journal of cardiology
ISSN: 1874-1754
Titre abrégé: Int J Cardiol
Pays: Netherlands
ID NLM: 8200291
Informations de publication
Date de publication:
15 05 2020
15 05 2020
Historique:
received:
02
07
2019
revised:
13
01
2020
accepted:
28
01
2020
pubmed:
19
2
2020
medline:
31
5
2022
entrez:
19
2
2020
Statut:
ppublish
Résumé
Pre-operative myocardial fibrosis and remodeling impact on outcomes after aortic valve replacement (AVR). We aimed at investigating the prognostic impact of preoperative electrocardiographic (ECG) markers of left ventricular (LV) myocardial damage, i.e. bundle branch block (BBB) and ECG strain pattern after (surgical or transcatheter) AVR for severe aortic stenosis (AS). Between April 2008 and October 2017, we explored consecutive patients referred to our Heart Valve Clinic for first AVR for severe AS. Detailed pre-operative phenotyping and ECG analysis were performed. Patients were followed-up after AVR for major cardiac events (ME), i.e. cardiovascular death, cardiac hospitalization for acute heart failure and stroke. BBB and ECG strain were respectively observed in 13.5 and 21% of the 1122 patients included. These ECG markers identified a subgroup of older patients, with higher NYHA class and more advanced myocardial disease as detected by echocardiography, i.e. higher LV mass and lower LV ejection fraction, global longitudinal strain and integrated backscatter, than patients without ECG strain or BBB. ME occurred in 212 (18.6%) patients during a mean follow-up of 4.4 ± 1.5 years with higher incidence in case of ECG strain or BBB (HR 1.56, 95%CI 1.13-2.14, p = 0.006; HR 1.47, 95%CI 1.02-2.13, p = 0.04 respectively). The prognostic value of ECG strain remained significant after adjustment for age, diabetes and pre-operative LVEF. Pre-operative ECG markers of myocardial damage identify a subgroup of AS patients at high risk of post-AVR cardiovascular complications irrespective of other prognostic factors and should help the multiparametric staging of cardiac damage to guide AVR.
Sections du résumé
BACKGROUND
Pre-operative myocardial fibrosis and remodeling impact on outcomes after aortic valve replacement (AVR). We aimed at investigating the prognostic impact of preoperative electrocardiographic (ECG) markers of left ventricular (LV) myocardial damage, i.e. bundle branch block (BBB) and ECG strain pattern after (surgical or transcatheter) AVR for severe aortic stenosis (AS).
METHODS
Between April 2008 and October 2017, we explored consecutive patients referred to our Heart Valve Clinic for first AVR for severe AS. Detailed pre-operative phenotyping and ECG analysis were performed. Patients were followed-up after AVR for major cardiac events (ME), i.e. cardiovascular death, cardiac hospitalization for acute heart failure and stroke.
RESULTS
BBB and ECG strain were respectively observed in 13.5 and 21% of the 1122 patients included. These ECG markers identified a subgroup of older patients, with higher NYHA class and more advanced myocardial disease as detected by echocardiography, i.e. higher LV mass and lower LV ejection fraction, global longitudinal strain and integrated backscatter, than patients without ECG strain or BBB. ME occurred in 212 (18.6%) patients during a mean follow-up of 4.4 ± 1.5 years with higher incidence in case of ECG strain or BBB (HR 1.56, 95%CI 1.13-2.14, p = 0.006; HR 1.47, 95%CI 1.02-2.13, p = 0.04 respectively). The prognostic value of ECG strain remained significant after adjustment for age, diabetes and pre-operative LVEF.
CONCLUSIONS
Pre-operative ECG markers of myocardial damage identify a subgroup of AS patients at high risk of post-AVR cardiovascular complications irrespective of other prognostic factors and should help the multiparametric staging of cardiac damage to guide AVR.
Identifiants
pubmed: 32067832
pii: S0167-5273(19)33328-5
doi: 10.1016/j.ijcard.2020.01.073
pii:
doi:
Substances chimiques
Biomarkers
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
130-135Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest No disclosures to declare.