Inequalities in Income and Education Are Associated With Survival Differences After Out-of-Hospital Cardiac Arrest: Nationwide Observational Study

Author:

Jonsson Martin1ORCID,Härkönen Juho12ORCID,Ljungman Petter3,Nordberg Per1,Ringh Mattias1,Hirlekar Geir4ORCID,Rawshani Araz5,Herlitz Johan6,Ljung Rickard3,Hollenberg Jacob1

Affiliation:

1. Center for Resuscitation Science, Department of Clinical Science and Education, Södersjukhuset (M.J., P.N., M.R., J. Hollenberg), Karolinska Institutet, Stockholm, Sweden.

2. Department of Political and Social Sciences, European University Institute, Florence, Italy (J. Härkönen).

3. Institute of Environmental Medicine (P.L., R.L.), Karolinska Institutet, Stockholm, Sweden.

4. Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden (G.H.).

5. Department of Molecular and Clinical Medicine, Gothenburg University, Sweden (A.R.).

6. Centre for Prehospital Research, Faculty of Caring Science, Work Life and Social Welfare, University of Borås, Borås, Sweden (J. Herlitz).

Abstract

Background: Despite the acknowledged importance of socioeconomic factors as regards cardiovascular disease onset and survival, the relationship between individual-level socioeconomic factors and survival after out-of-hospital cardiac arrest is not established. Our aim was to investigate whether socioeconomic variables are associated with 30-day survival after out-of-hospital cardiac arrest. Methods: We linked data from the Swedish Registry for Cardiopulmonary Resuscitation with individual-level data on socioeconomic factors (ie, educational level and disposable income) from Statistics Sweden. Confounding and mediating variables included demographic factors, comorbidity, and Utstein resuscitation variables. Outcome was 30-day survival. Multiple modified Poisson regression was used for the main analyses. Results: A total of 31 373 out-of-hospital cardiac arrests occurring in 2010 to 2017 were included. Crude 30-day survival rates by income quintiles were as follows: Q1 (low), 414/6277 (6.6%); Q2, 339/6276 (5.4%); Q3, 423/6275 (6.7%); Q4, 652/6273 (10.4%); and Q5 (high), 928/6272 (14.8%). In adjusted analysis, the chance of survival by income level followed a gradient-like increase, with a risk ratio of 1.86 (95% CI, 1.65–2.09) in the highest-income quintile versus the lowest. This association remained after adjusting for comorbidity, resuscitation factors, and initial rhythm. A higher educational level was associated with improved 30-day survival, with the risk ratio associated with postsecondary education ≥4 years being 1.51 (95% CI, 1.30–1.74). Survival disparities by income and educational level were observed in both men and women. Conclusions: In this nationwide observational study using individual-level socioeconomic data, higher income and higher educational level were associated with better 30-day survival after out-of-hospital cardiac arrest in both sexes.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

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