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Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF
AIMS: The angiotensin receptor‐neprilysin inhibitor (ARNI) sacubitril/valsartan (Sac/Val) demonstrated to be superior to enalapril in reducing hospitalizations, cardiovascular and all‐cause mortality in patients with ambulatory heart failure and reduced ejection fraction (HFrEF), in particular when...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715790/ https://www.ncbi.nlm.nih.gov/pubmed/35702942 http://dx.doi.org/10.1002/ehf2.13982 |
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author | Visco, Valeria Radano, Ilaria Campanile, Alfonso Ravera, Amelia Silverio, Angelo Masarone, Daniele Pacileo, Giuseppe Correale, Michele Mazzeo, Pietro Dattilo, Giuseppe Giallauria, Francesco Cuomo, Alessandra Mercurio, Valentina Tocchetti, Carlo Gabriele Di Pietro, Paola Carrizzo, Albino Citro, Rodolfo Galasso, Gennaro Vecchione, Carmine Ciccarelli, Michele |
author_facet | Visco, Valeria Radano, Ilaria Campanile, Alfonso Ravera, Amelia Silverio, Angelo Masarone, Daniele Pacileo, Giuseppe Correale, Michele Mazzeo, Pietro Dattilo, Giuseppe Giallauria, Francesco Cuomo, Alessandra Mercurio, Valentina Tocchetti, Carlo Gabriele Di Pietro, Paola Carrizzo, Albino Citro, Rodolfo Galasso, Gennaro Vecchione, Carmine Ciccarelli, Michele |
author_sort | Visco, Valeria |
collection | PubMed |
description | AIMS: The angiotensin receptor‐neprilysin inhibitor (ARNI) sacubitril/valsartan (Sac/Val) demonstrated to be superior to enalapril in reducing hospitalizations, cardiovascular and all‐cause mortality in patients with ambulatory heart failure and reduced ejection fraction (HFrEF), in particular when it is maximally up‐titrated. Unfortunately, the target dose is achieved in less than 50% of HFrEF patients, thus undermining the beneficial effects on the outcomes. In this study, we aimed to evaluate the role of Sac/Val and its titration dose on reverse cardiac remodelling and determine which echocardiographic index best predicts the up‐titration success. METHODS AND RESULTS: From January 2020 to June 2021, we retrospectively identified 95 patients (65.6 [59.1–72.8] years; 15.8% females) with chronic HFrEF who were prescribed Sac/Val from the HF Clinics of 5 Italian University Hospitals and evaluated the tolerability of Sac/Val high dose (the ability of the patient to achieve and stably tolerate the maximum dose) as the primary endpoint in the cohort. We used a multivariable logistic regression analysis, with a stepwise backward selection method, to determine the independent predictors of Sac/Val maximum dose tolerability, using, as candidate predictors, only variables with a P‐value < 0.1 in the univariate analyses. Candidate predictors identified for the multivariable backward logistic regression analysis were age, sex, body mass index (BMI), chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), dyslipidaemia, atrial fibrillation, systolic blood pressure (SBP), baseline tolerability of ACEi/ARBs maximum dose, left ventricle global longitudinal strain (LVgLS), LV ejection fraction (EF), tricuspid annulus plane systolic excursion (TAPSE), right ventricle (RV) fractional area change (FAC), RV global and free wall longitudinal strain (RVgLS and RV‐FW‐LS). After the multivariable analysis, only one categorical (ACEi/ARBs maximum dose at baseline) and three continuous (younger age, higher SBP, and higher TAPSE), resulted significantly associated with the study outcome variable with a strong discriminatory capacity (area under the curve 0.874, 95% confidence interval (CI) (0.794–0.954) to predict maximum Sac/Val dose tolerability. CONCLUSIONS: Our study is the first to analyse the potential role of echocardiography and, in particular, of RV dysfunction, measured by TAPSE, in predicting Sac/Val maximum dose tolerability. Therefore, patients with RV dysfunction (baseline TAPSE <16 mm, in our cohort) might benefit from a different strategy to titrate Sac/Val, such as starting from the lowest dose and/or waiting for a more extended period of observation before attempting with the higher doses. |
format | Online Article Text |
id | pubmed-9715790 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97157902022-12-05 Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF Visco, Valeria Radano, Ilaria Campanile, Alfonso Ravera, Amelia Silverio, Angelo Masarone, Daniele Pacileo, Giuseppe Correale, Michele Mazzeo, Pietro Dattilo, Giuseppe Giallauria, Francesco Cuomo, Alessandra Mercurio, Valentina Tocchetti, Carlo Gabriele Di Pietro, Paola Carrizzo, Albino Citro, Rodolfo Galasso, Gennaro Vecchione, Carmine Ciccarelli, Michele ESC Heart Fail Original Articles AIMS: The angiotensin receptor‐neprilysin inhibitor (ARNI) sacubitril/valsartan (Sac/Val) demonstrated to be superior to enalapril in reducing hospitalizations, cardiovascular and all‐cause mortality in patients with ambulatory heart failure and reduced ejection fraction (HFrEF), in particular when it is maximally up‐titrated. Unfortunately, the target dose is achieved in less than 50% of HFrEF patients, thus undermining the beneficial effects on the outcomes. In this study, we aimed to evaluate the role of Sac/Val and its titration dose on reverse cardiac remodelling and determine which echocardiographic index best predicts the up‐titration success. METHODS AND RESULTS: From January 2020 to June 2021, we retrospectively identified 95 patients (65.6 [59.1–72.8] years; 15.8% females) with chronic HFrEF who were prescribed Sac/Val from the HF Clinics of 5 Italian University Hospitals and evaluated the tolerability of Sac/Val high dose (the ability of the patient to achieve and stably tolerate the maximum dose) as the primary endpoint in the cohort. We used a multivariable logistic regression analysis, with a stepwise backward selection method, to determine the independent predictors of Sac/Val maximum dose tolerability, using, as candidate predictors, only variables with a P‐value < 0.1 in the univariate analyses. Candidate predictors identified for the multivariable backward logistic regression analysis were age, sex, body mass index (BMI), chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), dyslipidaemia, atrial fibrillation, systolic blood pressure (SBP), baseline tolerability of ACEi/ARBs maximum dose, left ventricle global longitudinal strain (LVgLS), LV ejection fraction (EF), tricuspid annulus plane systolic excursion (TAPSE), right ventricle (RV) fractional area change (FAC), RV global and free wall longitudinal strain (RVgLS and RV‐FW‐LS). After the multivariable analysis, only one categorical (ACEi/ARBs maximum dose at baseline) and three continuous (younger age, higher SBP, and higher TAPSE), resulted significantly associated with the study outcome variable with a strong discriminatory capacity (area under the curve 0.874, 95% confidence interval (CI) (0.794–0.954) to predict maximum Sac/Val dose tolerability. CONCLUSIONS: Our study is the first to analyse the potential role of echocardiography and, in particular, of RV dysfunction, measured by TAPSE, in predicting Sac/Val maximum dose tolerability. Therefore, patients with RV dysfunction (baseline TAPSE <16 mm, in our cohort) might benefit from a different strategy to titrate Sac/Val, such as starting from the lowest dose and/or waiting for a more extended period of observation before attempting with the higher doses. John Wiley and Sons Inc. 2022-06-15 /pmc/articles/PMC9715790/ /pubmed/35702942 http://dx.doi.org/10.1002/ehf2.13982 Text en © 2022 The Authors. ESC Heart Failure published by John Wiley & Sons Ltd on behalf of European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Visco, Valeria Radano, Ilaria Campanile, Alfonso Ravera, Amelia Silverio, Angelo Masarone, Daniele Pacileo, Giuseppe Correale, Michele Mazzeo, Pietro Dattilo, Giuseppe Giallauria, Francesco Cuomo, Alessandra Mercurio, Valentina Tocchetti, Carlo Gabriele Di Pietro, Paola Carrizzo, Albino Citro, Rodolfo Galasso, Gennaro Vecchione, Carmine Ciccarelli, Michele Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title | Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title_full | Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title_fullStr | Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title_full_unstemmed | Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title_short | Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF |
title_sort | predictors of sacubitril/valsartan high dose tolerability in a real world population with hfref |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9715790/ https://www.ncbi.nlm.nih.gov/pubmed/35702942 http://dx.doi.org/10.1002/ehf2.13982 |
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