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© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Surgical aortic valve replacement (SAVR) is the treatment of choice for young patients with severe aortic stenosis (AS). Left ventricular (LV) reverse remodeling (RR) after surgery is expected to occur, even though its definition is largely heterogenous and ill-defined. However, LV RR not always occurs following afterload relief, and such may impact the prognosis. Single-centre prospective study including patients referred for SAVR due to severe symptomatic AS, with no previous history of ischemic cardiomyopathy. Both pre- and post-operative transthoracic echocardiographic (TTE) and cardiac magnetic resonance (CMR) study (at the 3rd to 6th month after SAVR) were performed. LV RR was defined when in presence of at least one of the imaging criteria: >15% decrease in end-diastolic volume (CMR); >15% decrease in LV indexed mass (CMR); >10% decrease in geometric remodeling (LV mass/EDV ratio) by CMR; >10% increase in LV ejection fraction (CMR); >50% increase on global longitudinal strain (TTE). We assess the prognostic value of RR definitions for the outcome after SAVR using Cox regression and Kaplan-Meier analysis. The primary endpoint was defined as all-cause mortality, heart failure (HF) hospitalization or worsening HF. We enrolled 140 patients – mean age 71 ± 9 years-old, 49% male, predominantly high-gradient-normal flow AS submitted to SAVR. At a mean follow-up of 34 ± 12 months, 16% patients met the primary endpoint, with an overall mortality rate of 6%. Twelve patients (9%) were admitted for HF and 7 (5%) had at least one episode of worsening HF. 118 patients had complete pre and post-surgery imaging study (mean follow-up: 36 ± 10 months): 103 patients (87%) met at least one RR parameter. Post-operative RR was not independently associated with the primary endpoint. LV mass regression was the sole predictor of the outcome. LV RR after SAVR is highly prevalent in a cohort of patients with classical severe symptomatic AS. However, only LV mass regression independently predicts the clinical outcome after surgery. LV structural remodeling, rather than functional improvement after surgery, may better define the prognosis after pressure overload relief.

Details

Title
Prognostic impact of left ventricular reverse remodeling after surgical aortic valve replacement in severe aortic stenosis
Author
Lima, Maria Rita 1 ; Abecasis, João 2 ; Santos, Rita Reis 1 ; Maltês, Sérgio 1 ; Lopes, Pedro 1 ; Stankowski, Kamil 3 ; Guerreiro, Sara 1 ; Ferreira, António 1 ; Ribeiras, Regina 1 ; Andrade, Maria João 1 ; Madeira, Márcio 4 ; Ramos, Sância 5 ; Uva, Miguel Sousa 4 ; Cardim, Nuno 6 

 Hospital de Santa Cruz, Unidade Local de Saúde Lisboa Ocidental, Cardiology Department, Lisbon, Portugal (GRID:grid.413421.1) (ISNI:0000 0001 2288 671X) 
 Hospital de Santa Cruz, Unidade Local de Saúde Lisboa Ocidental, Cardiology Department, Lisbon, Portugal (GRID:grid.413421.1) (ISNI:0000 0001 2288 671X); Nova Medical School, Lisbon, Portugal (GRID:grid.10772.33) (ISNI:0000000121511713) 
 Centro Cardiologico Monzino IRCCS, Perioperative Cardiology and Cardiovascular Imaging Department, Milan, Italy (GRID:grid.418230.c) (ISNI:0000 0004 1760 1750) 
 Hospital de Santa Cruz, Unidade Local de Saúde Lisboa Ocidental, Cardiac Surgery Department, Lisbon, Portugal (GRID:grid.413421.1) (ISNI:0000 0001 2288 671X) 
 Unidade Local de Saúde Lisboa Ocidental, Pathology Department, Lisbon, Portugal (GRID:grid.413421.1) 
 Nova Medical School, Lisbon, Portugal (GRID:grid.10772.33) (ISNI:0000000121511713); Hospital CUF Descobertas, Lisbon, Portugal (GRID:grid.10772.33) (ISNI:0000 0004 0368 3169) 
Pages
26581
Publication year
2025
Publication date
2025
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3232270133
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.