Literature DB >> 35460014

Predictive risk factors for death in elderly patients after hospitalization for acute heart failure in an internal medicine unit.

Camille Roubille1,2, Benjamin Eduin3, Cyril Breuker4,5, Laetitia Zerkowski3, Simon Letertre3, Cédric Mercuzot3, Jonathan Bigot6, Guilhem Du Cailar3, François Roubille4,7, Pierre Fesler3,4.   

Abstract

To determine the predictive factors of mortality after hospitalization for acute heart failure (AHF) in an internal medicine department. Retrospective observational analysis conducted on 164 patients hospitalized for AHF in 2016-2017. Demographic, clinical and biological characteristics were assessed during hospitalization. The primary endpoint was the occurrence of all-cause death. Multivariate analysis was performed using the Cox model adjusted for age and renal function. The study population was mostly female (n = 106, 64.6%), elderly (82.9 years ± 10.0), with a preserved LVEF (86%). Mean Charlson comorbidity index was 6.5 ± 2.5. After a median follow-up of 17.5 months (IQR 6-38), 109 patients (65%) had died with a median time to death of 14 months (IQR 3-29). In univariate analysis, patients who died were significantly older, had lower BMI and renal function, and higher CCI and NT-proBNP levels (median of 4944 ng/l [2370-14403] versus 1740 ng/l [1119-3503], p < 0.001). In multivariate analysis, risk factors for death were lower BMI (HR 0.69, CI [0.53-0.90], p = 0.005), lower albuminemia (HR 0.77 [0.63-0.94], p = 0.009), higher ferritinemia (HR 1.38 [1.08-1.76], p = 0.010), higher uricemia (HR 1.28 [1.02-1.59], p = 0.030), higher NT-proBNP (HR 2.46 [1.65-3.67], p < 0.001) and longer hospital stay (HR 1.25 [1.05-1.49] p = 0.013). In elderly multimorbid patients, AHF prognosis appears to be influenced by nutritional criteria, including lower BMI, hypoalbuminemia, and hyperuricemia (independently of renal function). These results underline the importance of nutritional status, especially as therapeutic options are available. This consideration paves the way for further research in this field.
© 2022. The Author(s), under exclusive licence to Società Italiana di Medicina Interna (SIMI).

Entities:  

Keywords:  Acute heart failure; Death; Hypoalbuminemia; Internal medicine; Prognosis

Mesh:

Substances:

Year:  2022        PMID: 35460014     DOI: 10.1007/s11739-022-02982-2

Source DB:  PubMed          Journal:  Intern Emerg Med        ISSN: 1828-0447            Impact factor:   5.472


  28 in total

Review 1.  Epidemiology of heart failure: the prevalence of heart failure and ventricular dysfunction in older adults over time. A systematic review.

Authors:  Evelien E S van Riet; Arno W Hoes; Kim P Wagenaar; Alexander Limburg; Marcel A J Landman; Frans H Rutten
Journal:  Eur J Heart Fail       Date:  2016-01-04       Impact factor: 15.534

Review 2.  Multimorbidity and acute heart failure in internal medicine.

Authors:  F Martínez; L Martínez-Ibañez; G Pichler; A Ruiz; J Redon
Journal:  Int J Cardiol       Date:  2017-01-05       Impact factor: 4.164

3.  Incidence and epidemiology of new onset heart failure with preserved vs. reduced ejection fraction in a community-based cohort: 11-year follow-up of PREVEND.

Authors:  Frank P Brouwers; Rudolf A de Boer; Pim van der Harst; Adriaan A Voors; Ron T Gansevoort; Stephan J Bakker; Hans L Hillege; Dirk J van Veldhuisen; Wiek H van Gilst
Journal:  Eur Heart J       Date:  2013-03-06       Impact factor: 29.983

4.  Patients with diabetes are at high risk of serious medication errors at hospital: Interest of clinical pharmacist intervention to improve healthcare.

Authors:  Cyril Breuker; Océane Abraham; Laura di Trapanie; Thibault Mura; Valérie Macioce; Catherine Boegner; Anne Jalabert; Maxime Villiet; Audrey Castet-Nicolas; Antoine Avignon; Ariane Sultan
Journal:  Eur J Intern Med       Date:  2016-12-20       Impact factor: 4.487

5.  A contemporary appraisal of the heart failure epidemic in Olmsted County, Minnesota, 2000 to 2010.

Authors:  Yariv Gerber; Susan A Weston; Margaret M Redfield; Alanna M Chamberlain; Sheila M Manemann; Ruoxiang Jiang; Jill M Killian; Véronique L Roger
Journal:  JAMA Intern Med       Date:  2015-06       Impact factor: 21.873

6.  Validation of a combined comorbidity index.

Authors:  M Charlson; T P Szatrowski; J Peterson; J Gold
Journal:  J Clin Epidemiol       Date:  1994-11       Impact factor: 6.437

7.  The global health and economic burden of hospitalizations for heart failure: lessons learned from hospitalized heart failure registries.

Authors:  Andrew P Ambrosy; Gregg C Fonarow; Javed Butler; Ovidiu Chioncel; Stephen J Greene; Muthiah Vaduganathan; Savina Nodari; Carolyn S P Lam; Naoki Sato; Ami N Shah; Mihai Gheorghiade
Journal:  J Am Coll Cardiol       Date:  2014-02-05       Impact factor: 24.094

8.  Temporal Trends in the Incidence of and Mortality Associated With Heart Failure With Preserved and Reduced Ejection Fraction.

Authors:  Connie W Tsao; Asya Lyass; Danielle Enserro; Martin G Larson; Jennifer E Ho; Jorge R Kizer; John S Gottdiener; Bruce M Psaty; Ramachandran S Vasan
Journal:  JACC Heart Fail       Date:  2018-07-11       Impact factor: 12.035

9.  Current aspects of the spectrum of acute heart failure syndromes in a real-life setting: the OFICA study.

Authors:  Damien Logeart; Richard Isnard; Matthieu Resche-Rigon; Marie-France Seronde; Pascal de Groote; Guillaume Jondeau; Michel Galinier; Geneviève Mulak; Erwan Donal; François Delahaye; Yves Juilliere; Thibaud Damy; Patrick Jourdain; Fabrice Bauer; Jean-Christophe Eicher; Yannick Neuder; Jean-Noël Trochu
Journal:  Eur J Heart Fail       Date:  2012-11-27       Impact factor: 15.534

10.  Efficacy and durability of multifactorial intervention on mortality and MACEs: a randomized clinical trial in type-2 diabetic kidney disease.

Authors:  Ferdinando Carlo Sasso; Pia Clara Pafundi; Vittorio Simeon; Luca De Nicola; Paolo Chiodini; Raffaele Galiero; Luca Rinaldi; Riccardo Nevola; Teresa Salvatore; Celestino Sardu; Raffaele Marfella; Luigi Elio Adinolfi; Roberto Minutolo
Journal:  Cardiovasc Diabetol       Date:  2021-07-16       Impact factor: 9.951

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