Evidence map›Paper›PMID 35702942›Full record

ArticleESC heart failure2022

Predictors of sacubitril/valsartan high dose tolerability in a real world population with HFrEF.

Valeria Visco, Ilaria Radano, Alfonso Campanile, Amelia Ravera, Angelo Silverio, Daniele Masarone, Giuseppe Pacileo, Michele Correale, Pietro Mazzeo, Giuseppe Dattilo and 10 more

Open access · goldAbstract read
In one paragraph

Article in ESC heart failure, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.6field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. GRK2 and Mitochondrial Dynamics in Cardiovascular Health and Disease.International journal of molecular sciences · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 2 countries.

Valeria ViscoChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Ilaria RadanoChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Alfonso CampanileDepartment of Cardiology, "San Giovanni di Dio e Ruggi D'Aragona" Hopital-University, Salerno, Italy.
Amelia RaveraDepartment of Cardiology, "San Giovanni di Dio e Ruggi D'Aragona" Hopital-University, Salerno, Italy.
Angelo SilverioChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Daniele MasaroneHeart Failure Unit, AORN Colli, Naples, Italy.
Giuseppe PacileoHeart Failure Unit, AORN Colli, Naples, Italy.
Michele CorrealeCardiology Department, Ospedali Riuniti University Hospital, Foggia, Italy.
Pietro MazzeoCardiology Department, Ospedali Riuniti University Hospital, Foggia, Italy.
Giuseppe DattiloDepartment of Clinical and Experimental Medicine, Operative Unit of Cardiology, University of Messina, Messina, Italy.
Francesco GiallauriaDepartment of Translational Medical Sciences, Federico II University, Naples, Italy.
Alessandra CuomoDepartment of Translational Medical Sciences, Federico II University, Naples, Italy.
Valentina MercurioDepartment of Translational Medical Sciences, Federico II University, Naples, Italy.
Carlo Gabriele TocchettiDepartment of Translational Medical Sciences, Federico II University, Naples, Italy.
Paola Di PietroChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Albino CarrizzoChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Rodolfo CitroDepartment of Cardiology, "San Giovanni di Dio e Ruggi D'Aragona" Hopital-University, Salerno, Italy.
Gennaro GalassoChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Carmine VecchioneChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
Michele CiccarelliChair of Cardiology, Department of Medicine, Surgery and Dentistry, Schola Medica Salernitana, University of Salerno, Salerno, Italy.
University of Salerno · ITFederico II University Hospital · ITOspedali Riuniti San Giovanni di Dio e Ruggi d'Aragona · ITNaples Anesthesia & Physician Associates · USOspedali Riuniti di Foggia · ITValve (United States) · USUniversity of Messina · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe 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

resultsFrom 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.

conclusionsOur 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.

Indexed as

Heart FailureVentricular Dysfunction, LeftAgedAminobutyratesAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsBiphenyl CompoundsFemaleHumansMaleMiddle AgedRetrospective StudiesStroke VolumeTetrazolesValsartanAminobutyratesAngiotensin-Converting Enzyme InhibitorsAngiotensin Receptor AntagonistsBiphenyl CompoundssacubitrilTetrazolesValsartanARNIHeart failureNeprilysin inhibitorsRight ventricular functionSacubitril valsartan

Identifiers

PMID35702942
PMCPMC9715790
OpenAlexW4282941656

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.