Educational inequalities in mortality of patients with atrial fibrillation in Norway

Scand Cardiovasc J. 2017 Apr;51(2):82-87. doi: 10.1080/14017431.2016.1268711. Epub 2016 Dec 25.

Abstract

Objectives: We explored the educational gradient in mortality in atrial fibrillation (AF) patients.

Design: We prospectively followed patients hospitalized with AF as primary discharge diagnosis in the Cardiovascular Disease in Norway 2008-2012 project. The average length of follow-up was 2.4 years. Mortality by educational level was assessed by Cox proportional hazard models. Population attributable fractions (PAF) were calculated. Analyses stratified by age (≤75 and >75 years of age), and adjusted for age, gender, medical intervention, and Charlson Comorbidity Index.

Results: Of 42,138 AF patients, 16% died by end of 2012. Among younger patients, those with low education (≤10 years) had a HR of 2.3 (95% confidence interval 2.0, 2.6) for all-cause mortality relative to those with any college or university education. Similar results were observed for cardiovascular mortality. Disparities in mortality were greater among younger than older patients. A PAF of 35.9% (95% confidence interval 27.9, 43.1) was observed for an educational level of high school/vocational school or less versus higher education in younger patients.

Conclusions: Increasing educational level associated with better prognosis suggesting underlying education-related behavioral and medical determinants of mortality. A considerable proportion of mortality within 5 years following hospital discharge could be prevented.

Keywords: Atrial fibrillation; cardiovascular disease; education; epidemiology; mortality.

MeSH terms

  • Age Factors
  • Aged
  • Aged, 80 and over
  • Atrial Fibrillation / diagnosis
  • Atrial Fibrillation / mortality*
  • Atrial Fibrillation / psychology
  • Cause of Death
  • Chi-Square Distribution
  • Comorbidity
  • Educational Status*
  • Female
  • Health Behavior
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Middle Aged
  • Norway / epidemiology
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Registries
  • Risk Factors
  • Sex Factors
  • Time Factors