Literature DB >> 28262349

Trends in heart failure hospitalizations, patient characteristics, in-hospital and 1-year mortality: A population study, from 2000 to 2012 in Lombardy.

Maria Frigerio1, Cristina Mazzali2, Anna Maria Paganoni3, Francesca Ieva3, Pietro Barbieri4, Mauro Maistrello4, Ornella Agostoni5, Cristina Masella2, Simonetta Scalvini6.   

Abstract

BACKGROUND: This study was undertaken to evaluate trends in heat failure hospitalizations (HFHs) and 1-year mortality of HFH in Lombardy, the largest Italian region, from 2000 to 2012.
METHODS: Hospital discharge forms with HF-related ICD-9 CM codes collected from 2000 to 2012 by the regional healthcare service (n=699797 in 370538 adult patients), were analyzed with respect to in-hospital and 1-year mortality; Group (G) 1 included most acute HF episodes with primary cardiac diagnosis (70%); G2 included cardiomyopathies without acute HF codes (17%); and G3 included non-cardiac conditions with HF as secondary diagnosis (13%). Patients experiencing their first HFH since 2005 were analyzed as incident cases (n=216782).
RESULTS: Annual HFHs number (mean 53830) and in-hospital mortality (9.4%) did not change over the years, the latter being associated with increasing age (p<0.0001) and diagnosis Group (G1 9.1%, G2 5.6%, G3 15.9%, p<0.0001). Incidence of new cases decreased over the years (3.62 [CI 3.58-3.67] in 2005 to 3.13 [CI 3.09-3.17] in 2012, per 1000 adult inhabitants/year, p<0.0001), with an increasing proportion of patients aged ≥85y (22.3% to 31.4%, p<0.0001). Mortality lowered over time in <75y incident cases, both in-hospital (5.15% to 4.36%, p<0.0001) and at 1-year (14.8% to 12.9%, p=0.0006).
CONCLUSIONS: The overall burden and mortality of HFH appear stable for more than a decade. However, from 2005 to 2012, there was a reduction of new, incident cases, with increasing age at first hospitalization. Meanwhile, both in-hospital and 1-year mortality decreased in patients aged <75y, possibly due to improved prevention and treatment.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Epidemiology; Heart failure; Hospitalization; Mortality

Mesh:

Year:  2017        PMID: 28262349     DOI: 10.1016/j.ijcard.2017.02.052

Source DB:  PubMed          Journal:  Int J Cardiol        ISSN: 0167-5273            Impact factor:   4.164


  5 in total

1.  Head-to-head comparison of diagnostic scores for acute heart failure in the emergency department: results from the PARADISE cohort.

Authors:  Tahar Chouihed; Adrien Bassand; Kevin Duarte; Déborah Jaeger; Yann Roth; Gaetan Giacomin; Anne Delaruelle; Charlène Duchanois; Aurélie Bannay; Masatake Kobayashi; Patrick Rossignol; Nicolas Girerd
Journal:  Intern Emerg Med       Date:  2021-11-17       Impact factor: 5.472

2.  Increasing home-time after a first diagnosis of heart failure in Sweden, 20 years trends.

Authors:  Sofia Ekestubbe; Michael Fu; Kok Wai Giang; Martin Lindgren; Annika Rosengren; Linus Schioler; Maria Schaufelberger
Journal:  ESC Heart Fail       Date:  2021-11-27

3.  Non-parametric frailty Cox models for hierarchical time-to-event data.

Authors:  Francesca Gasperoni; Francesca Ieva; Anna Maria Paganoni; Christopher H Jackson; Linda Sharples
Journal:  Biostatistics       Date:  2020-07-01       Impact factor: 5.899

4.  Hyponatraemia, hyperglycaemia and worsening renal function at first blood sample on emergency department admission as predictors of in-hospital death in patients with dyspnoea with suspected acute heart failure: retrospective observational analysis of the PARADISE cohort.

Authors:  Tahar Chouihed; Aurélien Buessler; Adrien Bassand; Deborah Jaeger; Jean Marc Virion; Lionel Nace; Françoise Barbé; Sylvain Salignac; Patrick Rossignol; Faiez Zannad; Nicolas Girerd
Journal:  BMJ Open       Date:  2018-03-30       Impact factor: 2.692

5.  Multi-level models for heart failure patients' 30-day mortality and readmission rates: the relation between patient and hospital factors in administrative data.

Authors:  Afsaneh Roshanghalb; Cristina Mazzali; Emanuele Lettieri
Journal:  BMC Health Serv Res       Date:  2019-12-30       Impact factor: 2.655

  5 in total

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