Cargando…

New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis

BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) has contributed to an increasing number of deaths and readmissions over the past few decades. Despite the appearance of standard treatments, including diuretics, β-receptor blockers and angiotensin-converting enzyme inhibitor (ACEI), t...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Heng, Duan, Yuting, Chen, Benfa, Zhao, Yu, Su, Weiping, Wang, Shanhua, Wu, Jiaming, Lu, Liming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004768/
https://www.ncbi.nlm.nih.gov/pubmed/32000355
http://dx.doi.org/10.1097/MD.0000000000018341
_version_ 1783494799744040960
author Li, Heng
Duan, Yuting
Chen, Benfa
Zhao, Yu
Su, Weiping
Wang, Shanhua
Wu, Jiaming
Lu, Liming
author_facet Li, Heng
Duan, Yuting
Chen, Benfa
Zhao, Yu
Su, Weiping
Wang, Shanhua
Wu, Jiaming
Lu, Liming
author_sort Li, Heng
collection PubMed
description BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) has contributed to an increasing number of deaths and readmissions over the past few decades. Despite the appearance of standard treatments, including diuretics, β-receptor blockers and angiotensin-converting enzyme inhibitor (ACEI), there are still a large number of patients who have progressive deterioration of heart function and, inevitably, end-stage heart failure. In recent years, new medications for treating chronic heart failure have been clinically applied, but there is controversy surrounding drug selection and whether patients with HFrEF benefit from these medications. Therefore, we aimed to compare and rank different new pharmacological treatments in patients with HFrEF. METHODS: We performed a network meta-analysis to identify both direct and indirect evidence from relevant studies. We searched MEDLINE, EMBASE, and PsycINFO through the OVID database and CENTRAL through the Cochrane Library for clinical randomized controlled trials investigating new pharmacological treatments in patients with HFrEF published up to September 30, 2018. We included trials of ivabradine, levosimendan, omega-3, tolvaptan, recombinant human B-type natriuretic peptide (rhBNP), isosorbide dinitrate and hydralazine (ISDN/HYD) and angiotensin-neprilysin inhibition (LCZ696). We extracted the relevant information from these trials with a predefined data extraction sheet and assessed the risk of bias with the Cochrane risk of bias tool. Based on these items, more than half of the entries were judged as having an overall low to moderate risk of bias; the remaining studies had a high or unclear risk of bias. The outcomes investigated were left ventricle ejection fraction (LVEF %), heart rate (HR) and serum level of B-type natriuretic peptide (BNP). We performed a random-effects network meta-analysis within a Bayesian framework. RESULTS: We deemed 32 trials to be eligible that included 3810 patients and 32 treatments. Overall, 32 (94.1%) trials had a low to moderate risk of bias, while 2 (5.9%) trials had a high risk of bias. The quality of the included studies was rated as low in regard to allocation concealment and blinding and high in regard to other domains according to the Cochrane tools. As for increasing LVEF%, levosimendan was better than placebo (–3.77 (–4.96, –2.43)) and was the best intervention for improving ventricle contraction. As for controlling HR, n3-PUFA was better than placebo (4.01 (–0.44, 8.48)) and was the best choice for regulating HR. As for decreasing BNP, omega-3 was better than placebo (941.99 (–47.48, 1952.89) and was the best therapy for improving ventricle wall tension. CONCLUSIONS: Our study confirmed the effectiveness of the included new pharmacological treatments for optimizing the structural performance and improving the cardiac function in the management of patients with HFrEF and recommended several interventions for clinical practice.
format Online
Article
Text
id pubmed-7004768
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Wolters Kluwer Health
record_format MEDLINE/PubMed
spelling pubmed-70047682020-02-19 New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis Li, Heng Duan, Yuting Chen, Benfa Zhao, Yu Su, Weiping Wang, Shanhua Wu, Jiaming Lu, Liming Medicine (Baltimore) 3400 BACKGROUND: Heart failure with reduced ejection fraction (HFrEF) has contributed to an increasing number of deaths and readmissions over the past few decades. Despite the appearance of standard treatments, including diuretics, β-receptor blockers and angiotensin-converting enzyme inhibitor (ACEI), there are still a large number of patients who have progressive deterioration of heart function and, inevitably, end-stage heart failure. In recent years, new medications for treating chronic heart failure have been clinically applied, but there is controversy surrounding drug selection and whether patients with HFrEF benefit from these medications. Therefore, we aimed to compare and rank different new pharmacological treatments in patients with HFrEF. METHODS: We performed a network meta-analysis to identify both direct and indirect evidence from relevant studies. We searched MEDLINE, EMBASE, and PsycINFO through the OVID database and CENTRAL through the Cochrane Library for clinical randomized controlled trials investigating new pharmacological treatments in patients with HFrEF published up to September 30, 2018. We included trials of ivabradine, levosimendan, omega-3, tolvaptan, recombinant human B-type natriuretic peptide (rhBNP), isosorbide dinitrate and hydralazine (ISDN/HYD) and angiotensin-neprilysin inhibition (LCZ696). We extracted the relevant information from these trials with a predefined data extraction sheet and assessed the risk of bias with the Cochrane risk of bias tool. Based on these items, more than half of the entries were judged as having an overall low to moderate risk of bias; the remaining studies had a high or unclear risk of bias. The outcomes investigated were left ventricle ejection fraction (LVEF %), heart rate (HR) and serum level of B-type natriuretic peptide (BNP). We performed a random-effects network meta-analysis within a Bayesian framework. RESULTS: We deemed 32 trials to be eligible that included 3810 patients and 32 treatments. Overall, 32 (94.1%) trials had a low to moderate risk of bias, while 2 (5.9%) trials had a high risk of bias. The quality of the included studies was rated as low in regard to allocation concealment and blinding and high in regard to other domains according to the Cochrane tools. As for increasing LVEF%, levosimendan was better than placebo (–3.77 (–4.96, –2.43)) and was the best intervention for improving ventricle contraction. As for controlling HR, n3-PUFA was better than placebo (4.01 (–0.44, 8.48)) and was the best choice for regulating HR. As for decreasing BNP, omega-3 was better than placebo (941.99 (–47.48, 1952.89) and was the best therapy for improving ventricle wall tension. CONCLUSIONS: Our study confirmed the effectiveness of the included new pharmacological treatments for optimizing the structural performance and improving the cardiac function in the management of patients with HFrEF and recommended several interventions for clinical practice. Wolters Kluwer Health 2020-01-31 /pmc/articles/PMC7004768/ /pubmed/32000355 http://dx.doi.org/10.1097/MD.0000000000018341 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 3400
Li, Heng
Duan, Yuting
Chen, Benfa
Zhao, Yu
Su, Weiping
Wang, Shanhua
Wu, Jiaming
Lu, Liming
New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title_full New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title_fullStr New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title_full_unstemmed New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title_short New pharmacological treatments for heart failure with reduced ejection fraction (HFrEF): A Bayesian network meta-analysis
title_sort new pharmacological treatments for heart failure with reduced ejection fraction (hfref): a bayesian network meta-analysis
topic 3400
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7004768/
https://www.ncbi.nlm.nih.gov/pubmed/32000355
http://dx.doi.org/10.1097/MD.0000000000018341
work_keys_str_mv AT liheng newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT duanyuting newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT chenbenfa newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT zhaoyu newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT suweiping newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT wangshanhua newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT wujiaming newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis
AT luliming newpharmacologicaltreatmentsforheartfailurewithreducedejectionfractionhfrefabayesiannetworkmetaanalysis