BACKGROUND: Multiple definitions of reverse ventricular remodeling (RVR) employing various changes in left ventricular end-systolic (LVESV) or diastolic volumes (LVEDVs) or left ventricular ejection fraction (LVEF) have been used in determining cardiac resynchronization therapy (CRT) response, making comparability across studies difficult. We compared different metrics to each other, and in combination, in terms of association with long-term outcomes. METHODS: We collected clinical and echocardiographic data on 436 patients undergoing CRT. LVEF was assessed via a combined volumetric and visual assessment. Volumes were manually traced. Using a nested multivariate model of a priori determined predictors of long-term survival free of left ventricular assist device (LVAD) or heart transplant, multiple definitions of RVR were added to the model individually to determine which provided the best model fit. RESULTS: Over a mean follow-up of 5.4 ± 2.3 years, there were 198 endpoints (10 LVADs, 15 heart transplants, and 173 deaths). When added to a nested model controlling for multiple potential confounders, all definitions of RVR were significantly associated with improved survival. Changes in LVEF and LVESV were superior to changes in LVEDV. A combination metric of an LVEF improvement ≥ 5% and LVESV reduction ≥ 10% was the best overall metric for model fit. CONCLUSIONS: Changes in LVESV and LVEF are better predictors of long-term outcome following CRT compared to changes in LVEDV. Adding an assessment of LVEF to reduction in LVESV ≥ 10% provided the best overall definition for RVR in predicting CRT outcomes.
BACKGROUND: Multiple definitions of reverse ventricular remodeling (RVR) employing various changes in left ventricular end-systolic (LVESV) or diastolic volumes (LVEDVs) or left ventricular ejection fraction (LVEF) have been used in determining cardiac resynchronization therapy (CRT) response, making comparability across studies difficult. We compared different metrics to each other, and in combination, in terms of association with long-term outcomes. METHODS: We collected clinical and echocardiographic data on 436 patients undergoing CRT. LVEF was assessed via a combined volumetric and visual assessment. Volumes were manually traced. Using a nested multivariate model of a priori determined predictors of long-term survival free of left ventricular assist device (LVAD) or heart transplant, multiple definitions of RVR were added to the model individually to determine which provided the best model fit. RESULTS: Over a mean follow-up of 5.4 ± 2.3 years, there were 198 endpoints (10 LVADs, 15 heart transplants, and 173 deaths). When added to a nested model controlling for multiple potential confounders, all definitions of RVR were significantly associated with improved survival. Changes in LVEF and LVESV were superior to changes in LVEDV. A combination metric of an LVEF improvement ≥ 5% and LVESV reduction ≥ 10% was the best overall metric for model fit. CONCLUSIONS: Changes in LVESV and LVEF are better predictors of long-term outcome following CRT compared to changes in LVEDV. Adding an assessment of LVEF to reduction in LVESV ≥ 10% provided the best overall definition for RVR in predicting CRT outcomes.
Authors: Madalena Coutinho Cruz; Ana Abreu; Guilherme Portugal; Helena Santa-Clara; Pedro S Cunha; Mario M Oliveira; Vanessa Santos; Luís Oliveira; Pedro Rio; Inês Rodrigues; Luís A Morais; Rui C Ferreira; Miguel M Carmo Journal: J Nucl Cardiol Date: 2017-12-05 Impact factor: 5.952
Authors: Niraj Varma; Peter Sogaard; Jeroen J Bax; William T Abraham; Jeffrey S Borer; Kenneth Dickstein; Jagmeet P Singh; Daniel Gras; Johannes Holzmeister; Josep Brugada; Frank Ruschitzka Journal: J Am Heart Assoc Date: 2018-05-27 Impact factor: 5.501
Authors: Ahmed AlTurki; Pedro Y Lima; Martin L Bernier; Daniel Garcia; Alejandro Vidal; Bruno Toscani; Sergio Diaz; Mauricio Montemezzo; Alaa Al-Dossari; Tomy Hadjis; Jacqueline Joza; Vidal Essebag Journal: CJC Open Date: 2020-01-21
Authors: Abdulmohsen Almusaad; Raed Sweidan; Haitham Alanazi; Abdelrahman Jamiel; Fayez Bokhari; Yahya Al Hebaishi; Ahmed Al Fagih; Najib Alrawahi; Amjad Al-Mandalawi; Mohamed Hashim; Bandar Al Ghamdi; Mohammad Amin; Mohamed Elmaghawry; Naeem Al Shoaibi; Antonio Sorgente; Maria Loricchio; Ghaliah AlMohani; Ismail Al Abri; Edmon Benjamin; Nazar Sudan; Alexandre Chami; Nima Badie; Mohammed Sayed; Ahmad Hersi Journal: J Interv Card Electrophysiol Date: 2021-06-22 Impact factor: 1.900