Literature DB >> 28579167

Risk and predictors of readmission for heart failure following a myocardial infarction between 2004 and 2013: A Swedish nationwide observational study.

Liyew Desta1, Tomas Jernberg2, Jonas Spaak3, Claes Hofman-Bang3, Hans Persson3.   

Abstract

BACKGROUND: Data are scarce regarding the risk, temporal trends and predictors of late-onset heart failure (LOHF) after acute myocardial infarction (AMI). We aimed at studying the risk and predictors of LOHF and the composite event of LOHF or death after AMI.
METHODS: AMI patients first entered in the nationwide SWEDEHEART registry between 2004 and 2013 were included. Patients with a prior history of heart failure (HF) and those who died in-hospital were excluded. Dates and ICD-codes for LOHF in the national patient and death registries were used to determine time to first readmission due to LOHF and/or death.
RESULTS: A total of 150,566 AMI patients were included in the analysis. The 1-year, 2-year and 5-year cumulative risk of developing LOHF were 11.4%, 14.6% and 21.8% respectively. The risk of LOHF within 2years decreased from 15.5% to 14.4% (2004-2005 vs 2010-2011), p<0.001. Calendar year was protective of LOHF/death after adjustment (HR 0.96, 95% CI 0.94-0.98, p<0.001). In-hospital HF, age, diabetes mellitus, chronic kidney disease, peripheral arterial disease, chronic obstructive pulmonary disease and atrial fibrillation, were strong predictors of LOHF. Risk profile improved and use of evidence based therapies increased during the time period.
CONCLUSIONS: Survivors of AMI remain at a continued risk of LOHF. However, the overall risk of LOHF shows a decreasing trend after an index AMI over time. Lower risk of LOHF may relate to decreasing burden of comorbidities and increasing use of evidence based treatments.
Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Late-onset HF; Myocardial infarction; Predictors; Temporal trends

Mesh:

Year:  2017        PMID: 28579167     DOI: 10.1016/j.ijcard.2017.05.086

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


  8 in total

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Authors:  Xinyue Dong; Xiaoning He; Jing Wu
Journal:  Pharmacoeconomics       Date:  2022-09-08       Impact factor: 4.558

2.  An electronic health records cohort study on heart failure following myocardial infarction in England: incidence and predictors.

Authors:  Johannes M I H Gho; Amand F Schmidt; Laura Pasea; Stefan Koudstaal; Mar Pujades-Rodriguez; Spiros Denaxas; Anoop D Shah; Riyaz S Patel; Chris P Gale; Arno W Hoes; John G Cleland; Harry Hemingway; Folkert W Asselbergs
Journal:  BMJ Open       Date:  2018-03-03       Impact factor: 2.692

3.  Predictive Factors on the Incidence of Heart Failure in Patients with Ischemic Heart Disease: Using a 10-Year Population-Based Korea National Health Insurance Cohort Data.

Authors:  Seon Young Hwang; Kyung Ae Kim; Oh Jong Choi
Journal:  Int J Environ Res Public Health       Date:  2020-11-22       Impact factor: 3.390

Review 4.  Prognostic implications for patients after myocardial infarction: an integrative literature review and in-depth interviews with patients and experts.

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6.  Predictors of incident heart failure in a cohort of patients with ischemic heart disease.

Authors:  Senbeta Guteta Abdissa
Journal:  Pan Afr Med J       Date:  2020-02-17

Review 7.  Heart failure after myocardial infarction: incidence and predictors.

Authors:  Dominik Jenča; Vojtěch Melenovský; Josef Stehlik; Vladimír Staněk; Jiří Kettner; Josef Kautzner; Věra Adámková; Peter Wohlfahrt
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8.  Recurrent Admissions for Acute Decompensated Heart Failure Among Patients With and Without Peripheral Artery Disease: The ARIC Study.

Authors:  Zainali Chunawala; Patricia P Chang; Andrew P DeFilippis; Michael E Hall; Kunihiro Matsushita; Melissa C Caughey
Journal:  J Am Heart Assoc       Date:  2020-10-26       Impact factor: 5.501

  8 in total

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