Angiotensin receptor-neprilysin inhibition in patients with acute decompensated heart failure: an expert consensus position paper.
Christina ChrysohoouChristina ChrysohoouGeorge GiannakoulasGrigorios GiamouzisApostolos KaravidasAikaterini NakaConstantinos H PapadopoulosSotirios PatsilinakosJohn ParissisDimitrios TziakasJohn KanakakisPublished in: Heart failure reviews (2021)
The short-term mortality and rehospitalization rates after admission for acute heart failure (AHF) remain high, despite the high level of adherence to contemporary practice guidelines. Observational data from non-randomized studies in AHF strongly support the in-hospital administration of oral evidence-based modifying chronic heart failure (HF) medications (i.e., b-blockers, ACE inhibitors, mineralocorticoid receptor antagonists) to reduce morbidity and mortality. Interestingly, a well-designed prospective randomized multicenter study (PIONEER-HF) showed an improved clinical outcome and stress/injury biomarker profile after in-hospital administration of sacubitril/valsartan (sac/val) as compared to enalapril, in hemodynamically stable patients with AHF. However, sac/val implementation during hospitalization remains suboptimal due to the lack of an integrated individualized plan or well-defined appropriateness criteria for transition to oral therapies, an absence of specific guidelines regarding dose selection and the up-titration process, and uncertainty regarding patient eligibility.In the present expert consensus position paper, clinical practical recommendations are proposed, together with an action plan algorithm, to encourage and facilitate sac/val administration during hospitalization after an AHF episode with the aim of improving efficiencies of care and resource utilization.
Keyphrases
- acute heart failure
- heart failure
- healthcare
- angiotensin converting enzyme
- double blind
- clinical practice
- open label
- quality improvement
- ejection fraction
- primary care
- angiotensin ii
- phase iii
- placebo controlled
- phase ii
- emergency department
- machine learning
- cardiac resynchronization therapy
- clinical trial
- left ventricular
- cardiovascular events
- palliative care
- acute care
- type diabetes
- adipose tissue
- electronic health record
- big data
- case report
- deep learning
- skeletal muscle
- cardiovascular disease
- heat stress
- risk factors
- hepatitis b virus
- cross sectional