Literature DB >> 25453405

Educational inequalities in 28 day and 1-year mortality after hospitalisation for incident acute myocardial infarction--a nationwide cohort study.

Jannicke Igland1, Stein Emil Vollset2, Ottar K Nygård3, Gerhard Sulo4, Enxhela Sulo4, Marta Ebbing5, Øyvind Næss6, Inger Ariansen6, Grethe S Tell2.   

Abstract

BACKGROUND: There is little recent evidence on the impact of comorbidities and access to revascularisation procedures on educational inequalities in mortality after acute myocardial infarction (AMI). The aim of the study was to investigate educational inequalities in mortality among all patients hospitalised for an incident AMI during 2001-2009 in Norway.
METHODS: Data were obtained through the Cardiovascular Disease in Norway (CVDNOR) project. Incident AMI was defined as an AMI-hospitalisation without any AMI-events in the previous 7 years. Education was categorised as basic, upper secondary or tertiary (college/university). Cox regression was used to assess educational differences in 28-day and 29-365-day mortality after an incident AMI in terms of hazard ratios and relative index of inequality (RII). RII can be interpreted as the ratio in mortality between the 0 th and the 100th percentile of the education distribution.
RESULTS: 111 993 incident AMIs were included (39.4% women). Among patients aged 35-69, RIIs (95% CI) adjusted for age, sex and year were 1.86 (1.59-2.18) and 2.10 (1.69-2.59) for 28-day and 29-365-day mortality respectively. Among patients aged 70-94 the corresponding RIIs were 1.12 (1.06-1.30) and 1.28 (1.19-1.38). Educational inequalities in mortality were attenuated after adjustment for comorbidities and revascularisation, but were still significant. Educational inequalities did not decrease during 2001-2009.
CONCLUSION: Educational inequalities in both 28-day and 29-365 day mortality were strong and persistent during 2001-2009. Further research is needed to investigate if these disparities are driven by inequalities in the severity of the AMI or by inequitable access to treatment and rehabilitation.
Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Acute myocardial infarction; Educational status; Mortality; Prognosis; Socioeconomic factors

Mesh:

Year:  2014        PMID: 25453405     DOI: 10.1016/j.ijcard.2014.10.045

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


  11 in total

Review 1.  Effect of Socioeconomic Status on Propensity to Change Risk Behaviors Following Myocardial Infarction: Implications for Healthy Lifestyle Medicine.

Authors:  Diann E Gaalema; Rebecca J Elliott; Zachary H Morford; Stephen T Higgins; Philip A Ades
Journal:  Prog Cardiovasc Dis       Date:  2017-01-05       Impact factor: 8.194

2.  Financial Incentives to Increase Cardiac Rehabilitation Participation Among Low-Socioeconomic Status Patients: A Randomized Clinical Trial.

Authors:  Diann E Gaalema; Rebecca J Elliott; Patrick D Savage; Jason L Rengo; Alex Y Cutler; Irene Pericot-Valverde; Jeffrey S Priest; Donald S Shepard; Stephen T Higgins; Philip A Ades
Journal:  JACC Heart Fail       Date:  2019-05-08       Impact factor: 12.035

3.  The Impact of Comorbid Depression on Educational Inequality in Survival after Acute Coronary Syndrome in a Cohort of 83 062 Patients and a Matched Reference Population.

Authors:  Merete Osler; Eva Prescott; Ida Kim Wium-Andersen; Else Helene Ibfelt; Martin Balslev Jørgensen; Per Kragh Andersen; Terese Sara Høj Jørgensen; Marie Kim Wium-Andersen; Solvej Mårtensson
Journal:  PLoS One       Date:  2015-10-29       Impact factor: 3.240

4.  Time Trends and Educational Inequalities in Out-of-Hospital Coronary Deaths in Norway 1995-2009: A Cardiovascular Disease in Norway (CVDNOR) Project.

Authors:  Enxhela Sulo; Ottar Nygård; Stein Emil Vollset; Jannicke Igland; Marta Ebbing; Truls Østbye; Torben Jørgensen; Gerhard Sulo; Grethe S Tell
Journal:  J Am Heart Assoc       Date:  2017-02-20       Impact factor: 5.501

5.  Educational level and 30-day outcomes after hospitalization for acute myocardial infarction in Italy.

Authors:  Gianluca Cafagna; Chiara Seghieri
Journal:  BMC Health Serv Res       Date:  2017-01-09       Impact factor: 2.655

6.  The Role of Comorbidity in Mortality After Hip Fracture: A Nationwide Norwegian Study of 38,126 Women With Hip Fracture Matched to a General-Population Comparison Cohort.

Authors:  Astrid Lunde; Grethe S Tell; Alma B Pedersen; Thomas H Scheike; Ellen M Apalset; Vera Ehrenstein; Henrik T Sørensen
Journal:  Am J Epidemiol       Date:  2019-02-01       Impact factor: 4.897

7.  Short-term and long-term case-fatality rates for myocardial infarction and ischaemic stroke by socioeconomic position and sex: a population-based cohort study in Sweden, 1990-1994 and 2005-2009.

Authors:  Ninoa Malki; Sara Hägg; Sanna Tiikkaja; Ilona Koupil; Pär Sparén; Alexander Ploner
Journal:  BMJ Open       Date:  2019-07-04       Impact factor: 2.692

8.  The Impact of Education on All-cause Mortality Following St-Segment Elevation Myocardial Infarction (STEMI): Results from the Brazilian Heart Study.

Authors:  Joaquim Barreto; Jose Carlos Quinaglia E Silva; Andrei C Sposito; Luiz Sergio Carvalho
Journal:  Arq Bras Cardiol       Date:  2021-07       Impact factor: 2.000

9.  Educational attainment and differences in relative survival after acute myocardial infarction in Norway: a registry-based population study.

Authors:  Søren Toksvig Klitkou; Knut R Wangen
Journal:  BMJ Open       Date:  2017-08-28       Impact factor: 2.692

10.  Education level and outcomes after acute myocardial infarction in China.

Authors:  Xiqian Huo; Rohan Khera; Lihua Zhang; Jeph Herrin; Xueke Bai; Qianying Wang; Yuan Lu; Khurram Nasir; Shuang Hu; Jing Li; Xi Li; Xin Zheng; Frederick A Masoudi; John A Spertus; Harlan M Krumholz; Lixin Jiang
Journal:  Heart       Date:  2019-01-19       Impact factor: 5.994

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