Evidence map›Paper›PMID 41122562›Full record

ArticleCureus2025

Heart Failure With Reduced Ejection Fraction: A Retrospective Cross-Sectional Study of 40 Patients Referred to the Heart Failure Unit at San Juan de Alicante University Hospital.

Carmen Bárbara Alfonso García, Idalberto Luis Fernandez Eng, Vicente Bertomeu, Eliany Leon Figueredo, Jorge Eugenio Sesin Hernandez, Misleydi Dominguez

Abstract read
In one paragraph

Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Carmen Bárbara Alfonso GarcíaGeneral Practice, Centro de Salud Benalua, Alicante, ESP.
Idalberto Luis Fernandez EngEmergency Medicine, Hospital Universitario de la Ribera, Valencia, ESP.
Vicente BertomeuCardiology, Hospital Universitario San Juan de Alicante, Alicante, ESP.
Eliany Leon FigueredoGeneral Medicine, University of Medical Sciences Cienfuegos, Cienfuegos, CUB.
Jorge Eugenio Sesin HernandezEndocrinology, Diabetes and Metabolism, Albert Einstein College of Medicine, São Paulo, BRA.
Misleydi DominguezGeneral Medicine, Carlos J Finlay University, Camaguey, CUB.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction/background Heart failure (HF) is a prevalent clinical syndrome in Spain, often resulting in hospitalizations and significant morbidity. Guideline-directed medical therapy (GDMT) for HF with reduced ejection fraction (HFrEF) is strongly recommended to reduce mortality and improve cardiac function, yet it remains underutilized at hospital discharge. Structured HF Units (HFUs) may improve adherence to GDMT and optimize patient outcomes. Methods We conducted a retrospective, descriptive, cross-sectional study including 40 consecutive patients with HFrEF discharged from San Juan de Alicante University Hospital and referred to the HFU. At the HFU visit, patients underwent standardized assessments including medical history review, physical examination, New York Heart Association (NYHA) functional class evaluation, medication optimization according to GDMT, laboratory testing as needed, and repeat echocardiography when indicated. All consecutive eligible patients were included; no formal sample size calculation was performed. Quantitative variables were summarized as mean ± standard deviation and range, and qualitative variables as counts and percentages. Changes in left ventricular ejection fraction (LVEF) were analyzed using the Wilcoxon signed-rank test, while associations with age, sex, and GDMT completeness were evaluated using Spearman's correlation and Mann-Whitney U tests (p < 0.05). Results The mean age of the cohort was 68.1 years (range 41-86), with a predominance of male patients (34 (85%)). At discharge, only eight (20%) received full GDMT, but this proportion more than doubled to 21 (52.5%) after follow-up in the HFU. This improvement was accompanied by a significant rise in mean LVEF from 31.5% to 43.0% (mean increase 11.6%, p < 0.001), with a greater gain observed in men. These findings clearly illustrate that the initially low prescription rate of GDMT at hospital discharge was significantly improved after HFU follow-up, and this optimization was associated with better cardiac function. Conclusion GDMT remains frequently underprescribed at hospital discharge, representing a missed opportunity for early optimization. Referral to a structured HFU significantly increases GDMT adherence and improves LVEF, underscoring the critical role of HFUs in multidisciplinary HF care.

Indexed as

guideline-directed medical therapyheart failureheart failure unitleft ventricular ejection fractionretrospective study

Identifiers

PMID41122562
PMCPMC12536366

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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.