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. 2017 Mar 27:4:10.
doi: 10.3389/fnut.2017.00010. eCollection 2017.

Egg Consumption and Incidence of Heart Failure: A Meta-Analysis of Prospective Cohort Studies

Affiliations

Egg Consumption and Incidence of Heart Failure: A Meta-Analysis of Prospective Cohort Studies

Owais Khawaja et al. Front Nutr. .

Abstract

Introduction: Heart failure (HF) remains a major health problem affecting 5.7 million adults in USA. Data on the association of egg consumption with incident HF have been inconsistent. We, therefore, conducted this meta-analysis of prospective cohort studies to assess the relation of egg consumption with incident HF in the general population.

Methods: Using extensive online search, we conducted a meta-analysis of new onset HF following exposure to egg consumption. A random effects model was used and between studies heterogeneity was estimated with I2. Publication bias was assessed graphically using a funnel plot. All analyses were performed with Comprehensive Meta-Analysis (version 2.2.064).

Results: We identified four prospective cohorts for a total of 105,999 subjects and 5,059 cases of new onset HF. When comparing the highest (≥1/day) to the lowest category of egg consumption, pooled relative risk of HF was 1.25 (95% confidence interval = 1.12-1.39; p = 0.00). There was no evidence for heterogeneity (I2 = 0%) nor publication bias. On sensitivity analysis, stratification by gender differences, follow-up duration, and region where study was conducted did not alter the main conclusion.

Conclusion: Our meta-analysis suggests an elevated risk of incident HF with frequent egg consumption.

Keywords: diet; eggs; epidemiology; heart failure; nutrition.

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Figures

Figure 1
Figure 1
Search strategy results.
Figure 2
Figure 2
Pooled relative risk for egg consumption and incident heart failure across prospective cohort studies.
Figure 3
Figure 3
Funnel plot for pooled analysis for cohort studies. There is no evidence of publication bias seen.

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