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Record W4407164281 · doi:10.1002/ehf2.15172

Implementation of Guideline-Directed Medical Therapy in Patients with Heart Failure with Reduced Ejection Fraction (OpTIMa-HF Registry)

2025· article· en· W4407164281 on OpenAlexaff
Stefania Paolillo, Christian Basile, Federica Marzano, Dario Bruzzese, Piergiuseppe Agostoni, Irene Mattavelli, Angelo Aloisio, Pietro Ameri, Martina Solimano, Natale Daniele Brunetti, Paolo Calabrò, Arturo Cesaro, Matteo Cameli, Giulia Elena Mandoli, Erberto Carluccio, Stefano Carugo, Laura Casalino, Emilia Chiuini, Deborah Cosmi, Frank Lloyd Dini, Mariafrancesca Di Santo, G. Esposito, F. Ferrara, Maria Francesca Fierro, Gennaro Galasso, Luca Gallo, Antonella Rispoli, Paola Gargiulo, Francesco Grigioni, Andrea Segreti, Franco Guarnaccia, Natale Guarnaccia, Federico Guerra, E Cicchirillo, A. de Lillo, Marco Metra, Roberta Montisci, Maria Francesca Marchetti, Savina Nodari, Francesco Fioretti, Ermanno Nardi, Ugo Oliviero, Alberto Palazzuoli, Giuseppe Patti, Marco Pepe, Filomena Pacelli, Fabrizio Perrone Filardi, Giuseppe Putortí, G. Santoro, Michele Senni, Emilia D’Elia, Paolo Severino, Andrea D’Amato, Gianfranco Sinagra, Maddalena Rossi, Monica Franzese, Giovanni Smaldone, Giovanni Zito, Pasquale Perrone Filardi

Bibliographic record

VenueESC Heart Failure · 2025
Typearticle
Languageen
FieldMedicine
TopicHeart Failure Treatment and Management
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsMedicineEjection fractionHeart failureGuidelineMedical prescriptionInternal medicineObservational studyEmergency medicineIntensive care medicineCardiologyPhysical therapyPathologyPharmacology

Abstract

fetched live from OpenAlex

AIMS: The last released European guidelines on the management of heart failure (HF) recommend in patients with chronic HF with reduced ejection fraction (HFrEF) a pharmacological approach based on four fundamental drugs to be rapidly implemented and then uptitrated to modify disease progression. The aim of the Optimization of Therapy in the Italian Management of Heart Failure (OPTIMA-HF) registry is to collect data on chronic HF outpatients in different settings of care. In the present analysis, we report the first analysis of the OPTIMA-HF registry, focusing on the real-life use of guideline-directed medical therapy in patients affected by HFrEF. METHODS: OPTIMA-HF is an observational, cross-sectional, multicentre, real-life Italian registry conducted in two different clinical settings: HF outpatients' clinics of Italian hospitals and community HF outpatients' services. The study comprises a T0 phase-retrospective data collection, in which data of consecutive HF outpatients seen between January and October 2022 were collected; an educational activity phase; and a T1 phase-prospective data collection, in which data of consecutive HF outpatients seen between September 2023 and November 2023 were collected. In the present analysis, we describe the T0 phase focusing on HFrEF drug prescription rates, types, doses, combination therapy, the presence of contraindications and reasons of non-optimized treatment. RESULTS: Twenty-nine centres enrolled 2110 HF patients, of which 1390 (65.9%) had HFrEF [69.5 ± 11.9 years, 76.2% males, 4.1 years since HF diagnosis, median ejection fraction (EF) 33%]. Among HFrEF patients, 89.1% were on treatment with renin-angiotensin-aldosterone system inhibitor (RAASi)/angiotensin receptor neprilysin inhibitor (ARNI) (72% ARNI and 17.1% RAASi), 95.1% with beta-blockers, 75.8% with mineralocorticoid receptor antagonists (MRA) and 63.2% with sodium/glucose cotransporter 2 inhibitors (SGLT2i). Despite high prescription rates, a non-negligible number of patients with no contraindications were not treated with each specific drug. Patients taking all four drug classes, as recommended by guidelines, were mere 46.9%. Regarding doses, a still low number of patients on RAASi/ARNI and beta-blockers were treated with a dose ≥50% of the target doses recommended by the European guidelines. CONCLUSIONS: The OPTIMA-HF registry reported that HFrEF fundamental drugs are prescribed in most Italian patients; however, <50% of patients receive optimal combination therapy, and still not a satisfying number of patients receive target doses. Strategies to improve implementation of guideline-directed medical therapy are needed to improve HF prognosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.945

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.297
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations13
Published2025
Admission routes1
Has abstractyes

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