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Acute Heart Failure: Clinical Management
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Acute Heart Failure: Clinical Management

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Cardiology".

Deadline for manuscript submissions: 29 August 2024 | Viewed by 645

Special Issue Editor

Prof. Dr. Serafina Valente

E-Mail Website
Guest Editor
Division of Cardiology, Department of Medical Biotechnologies, University of Siena, Viale Bracci 1, 53100 Siena, Italy
Interests: acute heart failure; cardiogenic shock; mechanical circulatory support; heart transplantation; left ventricular assist device

Special Issue Information

Dear Colleagues,

This Special Issue of the Journal of Clinical Medicine will highlight the current state of the art and showcase some of the latest findings in the field of acute heart failure. The scientific discussion about acute heart failure and its management is of particular relevance, due to its fairly high incidence as well as the high mortality rate of these patients. The need for multiparametric approaches both to early diagnosis as well as prompt treatment through comprehensive risk stratification is fundamental in order to reduce morbidity and mortality.

This Special Issue aims to provide researchers with an opportunity to publish both original research and review articles related to recent advances in the acute heart failure and cardiogenic shock fields, with a particular focus on early diagnosis, risk stratification, advanced treatment strategies including mechanical circulatory support, heart transplantation and long-term left ventricular assist devices. In this setting, it is important to highlight both personalized management, tailored to each patient, as well as an interdisciplinary approach to acute heart failure management

Prof. Dr. Serafina Valente
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • acute heart failure
  • acute coronary syndrome
  • acute myocarditis
  • cardiogenic shock
  • mechanical circulatory support
  • left ventricular assist device
  • heart transplantation

Published Papers (1 paper)

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Research

14 pages, 1491 KiB  
Article
Predicting One-Year Mortality after Discharge Using Acute Heart Failure Score (AHFS)
by Mariarosaria Magaldi, Erika Nogue, Nicolas Molinari, Nicola De Luca, Anne-Marie Dupuy, Florence Leclercq, Jean-Luc Pasquie, Camille Roubille, Grégoire Mercier, Jean-Paul Cristol and François Roubille
J. Clin. Med. 2024, 13(7), 2018; https://doi.org/10.3390/jcm13072018 - 30 Mar 2024
Viewed by 527
Abstract
Background: Acute heart failure (AHF) represents a leading cause of unscheduled hospital stays, frequent rehospitalisations, and mortality worldwide. The aim of our study was to develop a bedside prognostic tool, a multivariable predictive risk score, that is useful in daily practice, thus [...] Read more.
Background: Acute heart failure (AHF) represents a leading cause of unscheduled hospital stays, frequent rehospitalisations, and mortality worldwide. The aim of our study was to develop a bedside prognostic tool, a multivariable predictive risk score, that is useful in daily practice, thus providing an early prognostic evaluation at admission and an accurate risk stratification after discharge in patients with AHF. Methods: This study is a subanalysis of the STADE HF study, which is a single-centre, prospective, randomised controlled trial enrolling 123 patients admitted to hospital for AHF. Here, 117 patients were included in the analysis, due to data exhaustivity. Regression analysis was performed to determine predictive variables for one-year mortality and/or rehospitalisation after discharge. Results: During the first year after discharge, 23 patients died. After modellisation, the variables considered to be of prognostic relevance in terms of mortality were (1) non-ischaemic aetiology of HF, (2) elevated creatinine levels at admission, (3) moderate/severe mitral regurgitation, and (4) prior HF hospitalisation. We designed a linear model based on these four independent predictive variables, and it showed a good ability to score and predict patient mortality with an AUC of 0.84 (95%CI: 0.76–0.92), thus denoting a high discriminative ability. A risk score equation was developed. During the first year after discharge, we observed as well that 41 patients died or were rehospitalised; hence, while searching for a model that could predict worsening health conditions (i.e., death and/or rehospitalisation), only two predictive variables were identified: non-ischaemic HF aetiology and previous HF hospitalisation (also included in the one-year mortality model). This second modellisation showed a more discrete discriminative ability with an AUC of 0.67 (95% C.I. 0.59–0.77). Conclusions: The proposed risk score and model, based on readily available predictive variables, are promising and useful tools to assess, respectively, the one-year mortality risk and the one-year mortality and/or rehospitalisations in patients hospitalised for AHF and to assist clinicians in the management of patients with HF aiming at improving their prognosis. Full article
(This article belongs to the Special Issue Acute Heart Failure: Clinical Management)
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